Os02g0759800 - Revision history

Xysj2019: /* References */

2017-02-24T02:12:00Z

‎References

Xysj2019 at 02:10, 24 February 2017

2017-02-24T02:10:14Z

Xysj2012: /* Structured Information */

2015-05-14T06:00:01Z

‎Structured Information

YanVenice: /* Mutation */

2014-06-02T13:37:02Z

‎Mutation

YanVenice: /* Mutation */

2014-06-02T13:36:15Z

‎Mutation

YanVenice: /* Labs working on this gene */

2014-06-01T09:54:15Z

‎Labs working on this gene

YanVenice: /* References */

2014-06-01T09:49:17Z

‎References

YanVenice: /* References */

2014-06-01T09:42:07Z

‎References

YanVenice: /* Extension knowledge */

2014-06-01T09:39:02Z

‎Extension knowledge

YanVenice: /* Function */

2014-06-01T09:37:37Z

‎Function

@@ Line 35: / Line 35: @@
 ==References==
-[1]Xin Hou;Kabin Xie;Jialing Yao;Zhuyun Qi;Lizhong Xiong A homolog of human ski-interacting protein in rice positively regulates cell viability and stress tolerance Proceedings of the National Academy of Sciences, 2009, 106(15): 6410-6415
+<references>
-[2]Lei Z, et al. (2007) High-throughput binary vectors for plant gene function analysis. J Int Plant Biol 49:556–567
+</references>
 ==Structured Information==

@@ Line 1: / Line 1: @@
-Please input one-sentence summary here.
+The rice '''''Os02g0759800''''' was reported as '''''OsSKIPa''''' in 2009 <ref name="ref1" /> by researchers from China.
 ==Annotated Information==
 ===Identification===
@@ Line 30: / Line 32: @@
 ==Labs working on this gene==
-National Key Laboratory of Crop Genetic Improvement
+* National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China
 ==References==

@@ Line 46: / Line 46: @@
 ==Structured Information==
 [[Category:Genes]]
 [[Category:Japonica mRNA]]

@@ Line 21: / Line 21: @@
 ===Mutation===
-Global Expression Changes in S58S and S59R Plants. Considering the nature of SKIP as a transcription regulator, we compared the expression profiles of S58S, S59R, and WT plants under normal growth conditions using the Affymetrix gene chip of rice. According to linear model analysis, 635 genes were detected with more than a 2-fold change (P ＜0.01) of transcript level in S59R plants(336 and 299 were up- and down-regulated, respectively) and 115 genes exhibited more than a 2-fold change (P＜0.01) in S58S plants(57 and 58 were up- and down-regulated, respectively). About 95%(19 of 20) of the genes showing expression level change could beresults suggest that OsSKIPa can affect the transcript levels of a large number of genes. Gene ontology analysis of the genes up- or down-regulated in the S58S and S59R plants revealed that genes in 3 categories of biological processes were significantly overrepresented (hypergeometric test, P � 0.01): response to stimulus (biotic, abiotic, and endogenous stimuli), metabolism, and cell communication. Among the 661 genes with expression levels changed by more
+Global Expression Changes in S58S and S59R Plants. Considering the nature of SKIP as a transcription regulator, we compared the expression profiles of S58S, S59R, and WT plants under normal growth conditions using the Affymetrix gene chip of rice. According to linear model analysis, 635 genes were detected with more than a 2-fold change (P ＜0.01) of transcript level in S59R plants(336 and 299 were up- and down-regulated, respectively) and 115 genes exhibited more than a 2-fold change (P＜0.01) in S58S plants(57 and 58 were up- and down-regulated, respectively). About 95%(19 of 20) of the genes showing expression level change could beresults suggest that OsSKIPa can affect the transcript levels of a large number of genes. Gene ontology analysis of the genes up- or down-regulated in the S58S and S59R plants revealed that genes in 3 categories of biological processes were significantly overrepresented (hypergeometric test, P ＜0.01): response to stimulus (biotic, abiotic, and endogenous stimuli), metabolism, and cell communication. Among the 661 genes with expression levels changed by more
 than 2-fold in the transgenic plants, 216, 199, and 120 genes are responsive to drought, salt, and cold stresses, respectively (data not
 shown), based on the published microarray analysis. Of note, several genes encoding enzymes for ROS reactions were changed in S58S or S59R plants. Bioinformatic analysis of the cis-elements in the promoters of these genes suggested that 29 cis-elements deposited in the promoter database (PLACE) were enriched, especially stress- and ABA-specific cis-elements, including several ABA responsive element-related elements and CANNTG box. These results further suggested that OsSKIPa may participate in the transcriptional regulation of numerous stressrelated genes.

@@ Line 21: / Line 21: @@
 ===Mutation===
-Global Expression Changes in S58S and S59R Plants. Considering the nature of SKIP as a transcription regulator, we compared the expression profiles of S58S, S59R, and WT plants under normal growth conditions using the Affymetrix gene chip of rice. According to linear model analysis, 635 genes were detected with more than a 2-fold change (P � 0.01) of transcript level in S59R plants(336 and 299 were up- and down-regulated, respectively) and 115 genes exhibited more than a 2-fold change (P�0.01) in S58S plants(57 and 58 were up- and down-regulated, respectively). About 95%(19 of 20) of the genes showing expression level change could beresults suggest that OsSKIPa can affect the transcript levels of a large number of genes. Gene ontology analysis of the genes up- or down-regulated in the S58S and S59R plants revealed that genes in 3 categories of biological processes were significantly overrepresented (hypergeometric test, P � 0.01): response to stimulus (biotic, abiotic, and endogenous stimuli), metabolism, and cell communication. Among the 661 genes with expression levels changed by more
+Global Expression Changes in S58S and S59R Plants. Considering the nature of SKIP as a transcription regulator, we compared the expression profiles of S58S, S59R, and WT plants under normal growth conditions using the Affymetrix gene chip of rice. According to linear model analysis, 635 genes were detected with more than a 2-fold change (P ＜0.01) of transcript level in S59R plants(336 and 299 were up- and down-regulated, respectively) and 115 genes exhibited more than a 2-fold change (P＜0.01) in S58S plants(57 and 58 were up- and down-regulated, respectively). About 95%(19 of 20) of the genes showing expression level change could beresults suggest that OsSKIPa can affect the transcript levels of a large number of genes. Gene ontology analysis of the genes up- or down-regulated in the S58S and S59R plants revealed that genes in 3 categories of biological processes were significantly overrepresented (hypergeometric test, P � 0.01): response to stimulus (biotic, abiotic, and endogenous stimuli), metabolism, and cell communication. Among the 661 genes with expression levels changed by more
 than 2-fold in the transgenic plants, 216, 199, and 120 genes are responsive to drought, salt, and cold stresses, respectively (data not
 shown), based on the published microarray analysis. Of note, several genes encoding enzymes for ROS reactions were changed in S58S or S59R plants. Bioinformatic analysis of the cis-elements in the promoters of these genes suggested that 29 cis-elements deposited in the promoter database (PLACE) were enriched, especially stress- and ABA-specific cis-elements, including several ABA responsive element-related elements and CANNTG box. These results further suggested that OsSKIPa may participate in the transcriptional regulation of numerous stressrelated genes.

@@ Line 33: / Line 33: @@
 ==References==
-<ref name="ref1"> Xin Hou;Kabin Xie;Jialing Yao;Zhuyun Qi;Lizhong Xiong A homolog of human ski-interacting protein in rice positively regulates cell viability and stress tolerance
+[1]Xin Hou;Kabin Xie;Jialing Yao;Zhuyun Qi;Lizhong Xiong A homolog of human ski-interacting protein in rice positively regulates cell viability and stress tolerance Proceedings of the National Academy of Sciences, 2009, 106(15): 6410-6415
-  Proceedings of the National Academy of Sciences, 2009, 106(15): 6410-6415</ref>
-<ref name="ref2">Lei Z, et al. (2007) High-throughput binary vectors for plant gene function analysis. J Int
+[2]Lei Z, et al. (2007) High-throughput binary vectors for plant gene function analysis. J Int Plant Biol 49:556–567
-Plant Biol 49:556–567</ref>
 ==Structured Information==

@@ Line 27: / Line 27: @@
 ===Extension knowledge===
 OsSKIPa Positively Modulates Stress Tolerance in Rice. Sessile plants and motile animals have evolved arrays of distinct mechanisms to respond and adapt to abiotic stresses.Wefound that overexpression of OsSKIPa in rice can enhance tolerance to drought and high salinity. The specific function of OsSKIPa in conferring drought resistance may be especially useful in producing green super rice as proposed by Zhang. Although the sequences of SKIP homologs are highly conserved between animals and plants, such an improved stress tolerance resulting from overexpression of a SKIPhomolog has not been reported in other species. This function may have evolved specifically in sessile plants. Drought and high-salinity stresses can result in retarded growth or even cell damage in plants (28, 29) and can produce ROS in plant cells. Overaccumulation of ROS can lead to cell damage and even death. In S58S plants, the activity of SOD, a key ROS eliminator, was increased under stress conditions. These results suggested that the increased stress tolerance of the OsSKIPa-overexpressing plants may be partially attributable to the enhanced ROS-scavenging activity. Quite a few genes with putative functions in ROS scavenging were up-regulated in the S58S plants, which also supports this hypothesis.
 ==Labs working on this gene==

@@ Line 10: / Line 10: @@
 OsSKIPa not only has the ability to complement the yeast mutant of SNW/SKIP homolog PRP45 but functions in regulating cell viability and stress tolerance. Among the 35 OsSKIPa-interacting proteins identified in this study, very few showed homology to the SKIP-interacting proteins reported in animals and yeast, indicatingfunctional diversification of SKIP proteins in plants.
 Suppression of OsSKIPa in rice resulted in growth arrest and reduced cell viability. The expression OsSKIPa is induced by various abiotic stresses and phytohormone treatments. Transgenic rice overexpressing OsSKIPa exhibited significantly improved growth performance in the medium containing stress agents (abscisic acid, salt, or mannitol) and drought resistance at both the seedling and reproductive stages.
 ===Expression===