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		<id>http://192.168.164.12:81/ricewiki/index.php?action=history&amp;feed=atom&amp;title=IC4R005-Microarray-2012-22419825</id>
		<title>IC4R005-Microarray-2012-22419825 - Revision history</title>
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		<updated>2026-08-28T20:23:40Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270661&amp;oldid=prev</id>
		<title>Xysj1988: /* The Background of This Project */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270661&amp;oldid=prev"/>
				<updated>2016-06-22T12:45:00Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;The Background of This Project&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:45, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l4&quot; &gt;Line 4:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 4:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;br&amp;gt;&lt;/del&gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''This study is the first to use this new approach for the isolation of QTL genes in rice; we conducted combined QTL mapping and microarray profiling analyses to identify QTL genes for seedling vigor at the initial growth stage. Our QTL analysis identified two QTLs, early-stage plant develop- ment1/2 (qEPD1 and qEPD2) for increasing plant height and/ or leaf sheath length at the initial growth stage. By combining QTL mapping and microarray profiling, we predicted that qEPD1 or qEPD2 correspond to gibberellin 20 oxidase-1 or -2 genes (OsGA20ox1, 2), respectively, and confirmed this prediction by complementation analysis. Our study demonstrated that the integration of QTL mapping and expression profiling could be a powerful method to narrow down the number of candidate genes for QTL(s) of interest'''.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''This study is the first to use this new approach for the isolation of QTL genes in rice; we conducted combined QTL mapping and microarray profiling analyses to identify QTL genes for seedling vigor at the initial growth stage. Our QTL analysis identified two QTLs, early-stage plant develop- ment1/2 (qEPD1 and qEPD2) for increasing plant height and/ or leaf sheath length at the initial growth stage. By combining QTL mapping and microarray profiling, we predicted that qEPD1 or qEPD2 correspond to gibberellin 20 oxidase-1 or -2 genes (OsGA20ox1, 2), respectively, and confirmed this prediction by complementation analysis. Our study demonstrated that the integration of QTL mapping and expression profiling could be a powerful method to narrow down the number of candidate genes for QTL(s) of interest'''.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270660&amp;oldid=prev</id>
		<title>Xysj1988: /* The Background of This Project */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270660&amp;oldid=prev"/>
				<updated>2016-06-22T12:44:53Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;The Background of This Project&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:44, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l4&quot; &gt;Line 4:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 4:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''This study is the first to use this new approach for the isolation of QTL genes in rice; we conducted combined QTL mapping and microarray profiling analyses to identify QTL genes for seedling vigor at the initial growth stage. Our QTL analysis identified two QTLs, early-stage plant develop- ment1/2 (qEPD1 and qEPD2) for increasing plant height and/ or leaf sheath length at the initial growth stage. By combining QTL mapping and microarray profiling, we predicted that qEPD1 or qEPD2 correspond to gibberellin 20 oxidase-1 or -2 genes (OsGA20ox1, 2), respectively, and confirmed this prediction by complementation analysis. Our study demonstrated that the integration of QTL mapping and expression profiling could be a powerful method to narrow down the number of candidate genes for QTL(s) of interest'''.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''This study is the first to use this new approach for the isolation of QTL genes in rice; we conducted combined QTL mapping and microarray profiling analyses to identify QTL genes for seedling vigor at the initial growth stage. Our QTL analysis identified two QTLs, early-stage plant develop- ment1/2 (qEPD1 and qEPD2) for increasing plant height and/ or leaf sheath length at the initial growth stage. By combining QTL mapping and microarray profiling, we predicted that qEPD1 or qEPD2 correspond to gibberellin 20 oxidase-1 or -2 genes (OsGA20ox1, 2), respectively, and confirmed this prediction by complementation analysis. Our study demonstrated that the integration of QTL mapping and expression profiling could be a powerful method to narrow down the number of candidate genes for QTL(s) of interest'''.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270659&amp;oldid=prev</id>
		<title>Xysj1988: /* Plant Materials &amp; Treatment */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270659&amp;oldid=prev"/>
				<updated>2016-06-22T12:44:39Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Plant Materials &amp;amp; Treatment&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:44, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l10&quot; &gt;Line 10:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 10:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Plant Materials &amp;amp; Treatment==&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Plant Materials &amp;amp; Treatment==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* The researchers used a population of 82 BILs (BC 1 F 12 ) derived from a cross between Koshihikari (japonica) and Habataki (indica) to identify QTLs for seedling traits at the initial growth stage and CL at the heading stage. Seeds of all the lines were immersed in water for 2 d and then sown into the cell plug tray (cell count,　14 × 32; tray size, 540 × 280 mm; depth of cell, 30 mm). These　lines were first grown under greenhouse conditions (15 h of　daylight, 25 × C) until 30 d after the germination to evaluate　seedling traits; then, they were transplanted to the paddy　field to measure CL at the heading stage. The phenotypic evaluation in BILs was conducted in three or four replicates. SLs were　selected from the BC4F2　generation.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* The researchers used a population of 82 BILs (BC 1 F 12 ) derived from a cross between Koshihikari (japonica) and Habataki (indica) to identify QTLs for seedling traits at the initial growth stage and CL at the heading stage. Seeds of all the lines were immersed in water for 2 d and then sown into the cell plug tray (cell count,　14 × 32; tray size, 540 × 280 mm; depth of cell, 30 mm). These　lines were first grown under greenhouse conditions (15 h of　daylight, 25 × C) until 30 d after the germination to evaluate　seedling traits; then, they were transplanted to the paddy　field to measure CL at the heading stage. The phenotypic evaluation in BILs was conducted in three or four replicates. SLs were　selected from the BC4F2　generation.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&amp;lt;br&amp;gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-2.png|center|thumb|870px|'''Figure 2. QTL analyses for plant height (PH) and leaf sheath length (LSL) at 30 d after germination, and culm length (CL) at the heading stage. (A–C) Frequency distributions of PH (A), LSL (B) and CL (C) in 82 BILs of Koshihikari and Habataki. 'Koshihikari' and 'Habataki' indicate the mean scores obtained from two parent cultivars (three biological duplicates).''']]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-2.png|center|thumb|870px|'''Figure 2. QTL analyses for plant height (PH) and leaf sheath length (LSL) at 30 d after germination, and culm length (CL) at the heading stage. (A–C) Frequency distributions of PH (A), LSL (B) and CL (C) in 82 BILs of Koshihikari and Habataki. 'Koshihikari' and 'Habataki' indicate the mean scores obtained from two parent cultivars (three biological duplicates).''']]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;br&amp;gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* We used the Habataki (indica) and Koshihikari (japonica) cultivars as the respective low and high seedling growth cultivars at the initial growth stage (Fig. 1A). After 30 d of germination, the average plant height of Koshihikari was 13.81 cm, whereas that of Habataki was 12.35 cm (Fig. 1A, B). Since the plant height (PH) of rice seedling depends on the total of leaf sheath length (LSL) and leaf blade length (LBL), we measured the LBL and LSL (Fig. 1C, D). The average LSL of Koshihikari and Habataki was 6.91 and 4.88 cm, respectively (Fig. 1C), but there was no significant difference in the LBL (Fig. 1D). These results demonstrate that the initial growth vigor of Koshihikari is mainly due to its longer leaf sheath.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* We used the Habataki (indica) and Koshihikari (japonica) cultivars as the respective low and high seedling growth cultivars at the initial growth stage (Fig. 1A). After 30 d of germination, the average plant height of Koshihikari was 13.81 cm, whereas that of Habataki was 12.35 cm (Fig. 1A, B). Since the plant height (PH) of rice seedling depends on the total of leaf sheath length (LSL) and leaf blade length (LBL), we measured the LBL and LSL (Fig. 1C, D). The average LSL of Koshihikari and Habataki was 6.91 and 4.88 cm, respectively (Fig. 1C), but there was no significant difference in the LBL (Fig. 1D). These results demonstrate that the initial growth vigor of Koshihikari is mainly due to its longer leaf sheath.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&amp;lt;br&amp;gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-3.png|right|thumb|527px|'''Figure 3. (D) Location of three QTLs for PH, LSL and CL on the linkage map. The names of the DNA markers are represented on the right of the corresponding chromosome. The Koshihikari allele of all identified QTLs promotes the values of these traits. S, short arm; L, long arm.''']]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-3.png|right|thumb|527px|'''Figure 3. (D) Location of three QTLs for PH, LSL and CL on the linkage map. The names of the DNA markers are represented on the right of the corresponding chromosome. The Koshihikari allele of all identified QTLs promotes the values of these traits. S, short arm; L, long arm.''']]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;br&amp;gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* To identify genes for increasing PH and LSL at the initial growth stage, we conducted QTL analysis by using 82 backcross inbred lines (BILs) derived from these two parents. The PH of 82 BILs varied from 9.73 to 25.48 cm, whereas the LSL varied from 4.08 to 10.88 cm at 30 d after germination (Fig. 2A, B). The frequency of PH and LSL showed an almost normal distribution with a transgressive segregation (Fig. 2A, B). We also conducted QTL analysis of the total culm length (CL) at the heading stage, because we were interested in the difference in PH between the initial growth and the heading stages. CL also showed a continuous frequency distribution with a transgressive segregation (Fig. 2C).&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* To identify genes for increasing PH and LSL at the initial growth stage, we conducted QTL analysis by using 82 backcross inbred lines (BILs) derived from these two parents. The PH of 82 BILs varied from 9.73 to 25.48 cm, whereas the LSL varied from 4.08 to 10.88 cm at 30 d after germination (Fig. 2A, B). The frequency of PH and LSL showed an almost normal distribution with a transgressive segregation (Fig. 2A, B). We also conducted QTL analysis of the total culm length (CL) at the heading stage, because we were interested in the difference in PH between the initial growth and the heading stages. CL also showed a continuous frequency distribution with a transgressive segregation (Fig. 2C).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270658&amp;oldid=prev</id>
		<title>Xysj1988: /* Plant Materials &amp; Treatment */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270658&amp;oldid=prev"/>
				<updated>2016-06-22T12:43:23Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Plant Materials &amp;amp; Treatment&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:43, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l13&quot; &gt;Line 13:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 13:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* We used the Habataki (indica) and Koshihikari (japonica) cultivars as the respective low and high seedling growth cultivars at the initial growth stage (Fig. 1A). After 30 d of germination, the average plant height of Koshihikari was 13.81 cm, whereas that of Habataki was 12.35 cm (Fig. 1A, B). Since the plant height (PH) of rice seedling depends on the total of leaf sheath length (LSL) and leaf blade length (LBL), we measured the LBL and LSL (Fig. 1C, D). The average LSL of Koshihikari and Habataki was 6.91 and 4.88 cm, respectively (Fig. 1C), but there was no significant difference in the LBL (Fig. 1D). These results demonstrate that the initial growth vigor of Koshihikari is mainly due to its longer leaf sheath.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* We used the Habataki (indica) and Koshihikari (japonica) cultivars as the respective low and high seedling growth cultivars at the initial growth stage (Fig. 1A). After 30 d of germination, the average plant height of Koshihikari was 13.81 cm, whereas that of Habataki was 12.35 cm (Fig. 1A, B). Since the plant height (PH) of rice seedling depends on the total of leaf sheath length (LSL) and leaf blade length (LBL), we measured the LBL and LSL (Fig. 1C, D). The average LSL of Koshihikari and Habataki was 6.91 and 4.88 cm, respectively (Fig. 1C), but there was no significant difference in the LBL (Fig. 1D). These results demonstrate that the initial growth vigor of Koshihikari is mainly due to its longer leaf sheath.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-3.png|right|thumb|&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;870px&lt;/del&gt;|'''Figure 3. Location of three QTLs for PH, LSL and CL on the linkage map. The names of the DNA markers are represented on the right of the corresponding chromosome. The Koshihikari allele of all identified QTLs promotes the values of these traits. S, short arm; L, long arm.''']]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-3.png|right|thumb|&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;527px&lt;/ins&gt;|'''Figure 3. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(D) &lt;/ins&gt;Location of three QTLs for PH, LSL and CL on the linkage map. The names of the DNA markers are represented on the right of the corresponding chromosome. The Koshihikari allele of all identified QTLs promotes the values of these traits. S, short arm; L, long arm.''']]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* To identify genes for increasing PH and LSL at the initial growth stage, we conducted QTL analysis by using 82 backcross inbred lines (BILs) derived from these two parents. The PH of 82 BILs varied from 9.73 to 25.48 cm, whereas the LSL varied from 4.08 to 10.88 cm at 30 d after germination (Fig. 2A, B). The frequency of PH and LSL showed an almost normal distribution with a transgressive segregation (Fig. 2A, B). We also conducted QTL analysis of the total culm length (CL) at the heading stage, because we were interested in the difference in PH between the initial growth and the heading stages. CL also showed a continuous frequency distribution with a transgressive segregation (Fig. 2C).&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* To identify genes for increasing PH and LSL at the initial growth stage, we conducted QTL analysis by using 82 backcross inbred lines (BILs) derived from these two parents. The PH of 82 BILs varied from 9.73 to 25.48 cm, whereas the LSL varied from 4.08 to 10.88 cm at 30 d after germination (Fig. 2A, B). The frequency of PH and LSL showed an almost normal distribution with a transgressive segregation (Fig. 2A, B). We also conducted QTL analysis of the total culm length (CL) at the heading stage, because we were interested in the difference in PH between the initial growth and the heading stages. CL also showed a continuous frequency distribution with a transgressive segregation (Fig. 2C).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270657&amp;oldid=prev</id>
		<title>Xysj1988: /* Plant Materials &amp; Treatment */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270657&amp;oldid=prev"/>
				<updated>2016-06-22T12:42:52Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Plant Materials &amp;amp; Treatment&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:42, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l13&quot; &gt;Line 13:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 13:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* We used the Habataki (indica) and Koshihikari (japonica) cultivars as the respective low and high seedling growth cultivars at the initial growth stage (Fig. 1A). After 30 d of germination, the average plant height of Koshihikari was 13.81 cm, whereas that of Habataki was 12.35 cm (Fig. 1A, B). Since the plant height (PH) of rice seedling depends on the total of leaf sheath length (LSL) and leaf blade length (LBL), we measured the LBL and LSL (Fig. 1C, D). The average LSL of Koshihikari and Habataki was 6.91 and 4.88 cm, respectively (Fig. 1C), but there was no significant difference in the LBL (Fig. 1D). These results demonstrate that the initial growth vigor of Koshihikari is mainly due to its longer leaf sheath.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* We used the Habataki (indica) and Koshihikari (japonica) cultivars as the respective low and high seedling growth cultivars at the initial growth stage (Fig. 1A). After 30 d of germination, the average plant height of Koshihikari was 13.81 cm, whereas that of Habataki was 12.35 cm (Fig. 1A, B). Since the plant height (PH) of rice seedling depends on the total of leaf sheath length (LSL) and leaf blade length (LBL), we measured the LBL and LSL (Fig. 1C, D). The average LSL of Koshihikari and Habataki was 6.91 and 4.88 cm, respectively (Fig. 1C), but there was no significant difference in the LBL (Fig. 1D). These results demonstrate that the initial growth vigor of Koshihikari is mainly due to its longer leaf sheath.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt; [[File:IC4R005-Microarray-2012-22419825-3.png|right|thumb|870px|'''Figure 3. Location of three QTLs for PH, LSL and CL on the linkage map. The names of the DNA markers are represented on the right of the corresponding chromosome. The Koshihikari allele of all identified QTLs promotes the values of these traits. S, short arm; L, long arm.''']]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* To identify genes for increasing PH and LSL at the initial growth stage, we conducted QTL analysis by using 82 backcross inbred lines (BILs) derived from these two parents. The PH of 82 BILs varied from 9.73 to 25.48 cm, whereas the LSL varied from 4.08 to 10.88 cm at 30 d after germination (Fig. 2A, B). The frequency of PH and LSL showed an almost normal distribution with a transgressive segregation (Fig. 2A, B). We also conducted QTL analysis of the total culm length (CL) at the heading stage, because we were interested in the difference in PH between the initial growth and the heading stages. CL also showed a continuous frequency distribution with a transgressive segregation (Fig. 2C).&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* To identify genes for increasing PH and LSL at the initial growth stage, we conducted QTL analysis by using 82 backcross inbred lines (BILs) derived from these two parents. The PH of 82 BILs varied from 9.73 to 25.48 cm, whereas the LSL varied from 4.08 to 10.88 cm at 30 d after germination (Fig. 2A, B). The frequency of PH and LSL showed an almost normal distribution with a transgressive segregation (Fig. 2A, B). We also conducted QTL analysis of the total culm length (CL) at the heading stage, because we were interested in the difference in PH between the initial growth and the heading stages. CL also showed a continuous frequency distribution with a transgressive segregation (Fig. 2C).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270656&amp;oldid=prev</id>
		<title>Xysj1988 at 12:41, 22 June 2016</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270656&amp;oldid=prev"/>
				<updated>2016-06-22T12:41:40Z</updated>
		
		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:41, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l10&quot; &gt;Line 10:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 10:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Plant Materials &amp;amp; Treatment==&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Plant Materials &amp;amp; Treatment==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* The researchers used a population of 82 BILs (BC 1 F 12 ) derived from a cross between Koshihikari (japonica) and Habataki (indica) to identify QTLs for seedling traits at the initial growth stage and CL at the heading stage. Seeds of all the lines were immersed in water for 2 d and then sown into the cell plug tray (cell count,　14 × 32; tray size, 540 × 280 mm; depth of cell, 30 mm). These　lines were first grown under greenhouse conditions (15 h of　daylight, 25 × C) until 30 d after the germination to evaluate　seedling traits; then, they were transplanted to the paddy　field to measure CL at the heading stage. The phenotypic evaluation in BILs was conducted in three or four replicates. SLs were　selected from the BC4F2　generation.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* The researchers used a population of 82 BILs (BC 1 F 12 ) derived from a cross between Koshihikari (japonica) and Habataki (indica) to identify QTLs for seedling traits at the initial growth stage and CL at the heading stage. Seeds of all the lines were immersed in water for 2 d and then sown into the cell plug tray (cell count,　14 × 32; tray size, 540 × 280 mm; depth of cell, 30 mm). These　lines were first grown under greenhouse conditions (15 h of　daylight, 25 × C) until 30 d after the germination to evaluate　seedling traits; then, they were transplanted to the paddy　field to measure CL at the heading stage. The phenotypic evaluation in BILs was conducted in three or four replicates. SLs were　selected from the BC4F2　generation.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt; [[File:IC4R005-Microarray-2012-22419825-2.png|center|thumb|870px|'''Figure 2. QTL analyses for plant height (PH) and leaf sheath length (LSL) at 30 d after germination, and culm length (CL) at the heading stage. (A–C) Frequency distributions of PH (A), LSL (B) and CL (C) in 82 BILs of Koshihikari and Habataki. 'Koshihikari' and 'Habataki' indicate the mean scores obtained from two parent cultivars (three biological duplicates).''']]&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* We used the Habataki (indica) and Koshihikari (japonica) cultivars as the respective low and high seedling growth cultivars at the initial growth stage (Fig. 1A). After 30 d of germination, the average plant height of Koshihikari was 13.81 cm, whereas that of Habataki was 12.35 cm (Fig. 1A, B). Since the plant height (PH) of rice seedling depends on the total of leaf sheath length (LSL) and leaf blade length (LBL), we measured the LBL and LSL (Fig. 1C, D). The average LSL of Koshihikari and Habataki was 6.91 and 4.88 cm, respectively (Fig. 1C), but there was no significant difference in the LBL (Fig. 1D). These results demonstrate that the initial growth vigor of Koshihikari is mainly due to its longer leaf sheath.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* We used the Habataki (indica) and Koshihikari (japonica) cultivars as the respective low and high seedling growth cultivars at the initial growth stage (Fig. 1A). After 30 d of germination, the average plant height of Koshihikari was 13.81 cm, whereas that of Habataki was 12.35 cm (Fig. 1A, B). Since the plant height (PH) of rice seedling depends on the total of leaf sheath length (LSL) and leaf blade length (LBL), we measured the LBL and LSL (Fig. 1C, D). The average LSL of Koshihikari and Habataki was 6.91 and 4.88 cm, respectively (Fig. 1C), but there was no significant difference in the LBL (Fig. 1D). These results demonstrate that the initial growth vigor of Koshihikari is mainly due to its longer leaf sheath.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270655&amp;oldid=prev</id>
		<title>Xysj1988: /* The Background of This Project */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270655&amp;oldid=prev"/>
				<updated>2016-06-22T12:39:39Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;The Background of This Project&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:39, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l3&quot; &gt;Line 3:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 3:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;br&amp;gt;&lt;/ins&gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270654&amp;oldid=prev</id>
		<title>Xysj1988: /* The Background of This Project */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270654&amp;oldid=prev"/>
				<updated>2016-06-22T12:39:32Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;The Background of This Project&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:39, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l3&quot; &gt;Line 3:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 3:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;br&amp;gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270653&amp;oldid=prev</id>
		<title>Xysj1988: /* The Background of This Project */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270653&amp;oldid=prev"/>
				<updated>2016-06-22T12:39:23Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;The Background of This Project&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:39, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l4&quot; &gt;Line 4:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 4:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&amp;lt;br&amp;gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&amp;lt;br&amp;gt;&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''This study is the first to use this new approach for the isolation of QTL genes in rice; we conducted combined QTL mapping and microarray profiling analyses to identify QTL genes for seedling vigor at the initial growth stage. Our QTL analysis identified two QTLs, early-stage plant develop- ment1/2 (qEPD1 and qEPD2) for increasing plant height and/ or leaf sheath length at the initial growth stage. By combining QTL mapping and microarray profiling, we predicted that qEPD1 or qEPD2 correspond to gibberellin 20 oxidase-1 or -2 genes (OsGA20ox1, 2), respectively, and confirmed this prediction by complementation analysis. Our study demonstrated that the integration of QTL mapping and expression profiling could be a powerful method to narrow down the number of candidate genes for QTL(s) of interest'''.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''This study is the first to use this new approach for the isolation of QTL genes in rice; we conducted combined QTL mapping and microarray profiling analyses to identify QTL genes for seedling vigor at the initial growth stage. Our QTL analysis identified two QTLs, early-stage plant develop- ment1/2 (qEPD1 and qEPD2) for increasing plant height and/ or leaf sheath length at the initial growth stage. By combining QTL mapping and microarray profiling, we predicted that qEPD1 or qEPD2 correspond to gibberellin 20 oxidase-1 or -2 genes (OsGA20ox1, 2), respectively, and confirmed this prediction by complementation analysis. Our study demonstrated that the integration of QTL mapping and expression profiling could be a powerful method to narrow down the number of candidate genes for QTL(s) of interest'''.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

	<entry>
		<id>https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270652&amp;oldid=prev</id>
		<title>Xysj1988: /* The Background of This Project */</title>
		<link rel="alternate" type="text/html" href="https://ngdc.cncb.ac.cn/ricewiki/index.php?title=IC4R005-Microarray-2012-22419825&amp;diff=270652&amp;oldid=prev"/>
				<updated>2016-06-22T12:39:07Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;The Background of This Project&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr style=&quot;vertical-align: top;&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:39, 22 June 2016&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l3&quot; &gt;Line 3:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 3:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==The Background of This Project==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160; [[File:IC4R005-Microarray-2012-22419825-1.png|center|thumb|870px|'''Figure 1. Phenotype of Koshihikari, Habataki, SL qEPD1 and SL qEPD2 .''']]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;br&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* Nowadays, and especially in the tropics, the rice cropping system is shifting from transplanting to direct sowing because it is less labor intensive (Erguiza et al. 1990). For the establishment of such a direct sowing system, strong seedling vigor is one of the most important agronomic traits. The level of seedling vigor is determined by many morphological and physiological traits, among which the germination rate and early seedling growth are the major targets in a breeding program (Williams and Peterson 1973, Sasahara et al. 1986). Moreover, several studies have suggested that phytohormones, such as gibberellin and auxin, are important for their control (Oikawa et al. 2004, Chhun et al. 2007, Lo et al. 2008).&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Microarray-based transcriptome profiling studies have been primarily used to address gene regulations related to morphological and physiological traits of animals and　plants. However, results from these studies tend to identify a large number of differentially expressed genes due to　the complex interactions between various signaling pathways.　Previously, a report　combining expression profiling using　microarrays with genetic mapping significantly contributed to　the isolation of genetic factors in animal research (Aitman　et al. 1999). However, the identification of QTL genes　using this approach has never been reported in plants.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''This study is the first to use this new approach for the isolation of QTL genes in rice; we conducted combined QTL mapping and microarray profiling analyses to identify QTL genes for seedling vigor at the initial growth stage. Our QTL analysis identified two QTLs, early-stage plant develop- ment1/2 (qEPD1 and qEPD2) for increasing plant height and/ or leaf sheath length at the initial growth stage. By combining QTL mapping and microarray profiling, we predicted that qEPD1 or qEPD2 correspond to gibberellin 20 oxidase-1 or -2 genes (OsGA20ox1, 2), respectively, and confirmed this prediction by complementation analysis. Our study demonstrated that the integration of QTL mapping and expression profiling could be a powerful method to narrow down the number of candidate genes for QTL(s) of interest'''.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* '''This study is the first to use this new approach for the isolation of QTL genes in rice; we conducted combined QTL mapping and microarray profiling analyses to identify QTL genes for seedling vigor at the initial growth stage. Our QTL analysis identified two QTLs, early-stage plant develop- ment1/2 (qEPD1 and qEPD2) for increasing plant height and/ or leaf sheath length at the initial growth stage. By combining QTL mapping and microarray profiling, we predicted that qEPD1 or qEPD2 correspond to gibberellin 20 oxidase-1 or -2 genes (OsGA20ox1, 2), respectively, and confirmed this prediction by complementation analysis. Our study demonstrated that the integration of QTL mapping and expression profiling could be a powerful method to narrow down the number of candidate genes for QTL(s) of interest'''.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Xysj1988</name></author>	</entry>

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