Difference between revisions of "IC4R003-Genome-2005-16100779"
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==Research Findings== | ==Research Findings== | ||
*The resaerchers analysis has revealed several salient features of the rice genome: | *The resaerchers analysis has revealed several salient features of the rice genome: | ||
| − | 1.Providing evidence for a genome size of 389 Mb. This size estimation is ,260 Mb larger than the fully sequenced dicot plant | + | 1.Providing evidence for a genome size of 389 Mb. This size estimation is ,260 Mb larger than the fully sequenced dicot plant |
model Arabidopsis thaliana. The researchers generated 370 Mb of finished sequence, representing 95% coverage of the genome and virtually all of the euchromatic regions. | model Arabidopsis thaliana. The researchers generated 370 Mb of finished sequence, representing 95% coverage of the genome and virtually all of the euchromatic regions. | ||
| − | 2.A total of 37,544 non-transposable-element-related protein-coding sequences were detected, compared with ,28,000–29,000 in Arabidopsis, with a lower gene density of one gene per 9.9 kb in rice. A total of 2,859 genes seem to be unique to rice and the other cereals, some of which might differentiate monocot and dicot lineages. | + | 2.A total of 37,544 non-transposable-element-related protein-coding sequences were detected, compared with ,28,000–29,000 in Arabidopsis, with a lower gene density of one gene per 9.9 kb in rice. A total of 2,859 genes seem to be unique to rice and the other cereals, some of which might differentiate monocot and dicot lineages. |
| − | 3.Gene knockouts are useful tools for determining gene function and relating genes to phenotypes. We identified 11,487 Tos17 retrotransposon insertion sites, of which 3,243 are in genes. | + | 3.Gene knockouts are useful tools for determining gene function and relating genes to phenotypes. We identified 11,487 Tos17 retrotransposon insertion sites, of which 3,243 are in genes. |
| − | 4.Between 0.38 and 0.43% of the nuclear genome contains organellar DNA fragments, representing repeated and ongoing transfer of | + | 4.Between 0.38 and 0.43% of the nuclear genome contains organellar DNA fragments, representing repeated and ongoing transfer of |
organellar DNA to the nuclear genome. | organellar DNA to the nuclear genome. | ||
| − | 5.The transposon content of rice is at least 35% and is populated by representatives from all known transposon superfamilies. | + | 5.The transposon content of rice is at least 35% and is populated by representatives from all known transposon superfamilies. |
| − | 6.We have identified 80,127 polymorphic sites that distinguish between two cultivated rice subspecies, japonica and indica, resulting in a high-resolution genetic map for rice. Single-nucleotide polymorphism (SNP) frequency varies from 0.53 to 0.78%, | + | 6.We have identified 80,127 polymorphic sites that distinguish between two cultivated rice subspecies, japonica and indica, resulting in a high-resolution genetic map for rice. Single-nucleotide polymorphism (SNP) frequency varies from 0.53 to 0.78%, |
which is 20 times the frequency observed between the Columbia and Landsberg erecta ecotypes of Arabidopsis. | which is 20 times the frequency observed between the Columbia and Landsberg erecta ecotypes of Arabidopsis. | ||
| − | 7.A comparison between the IRGSP genome sequence and the 6.3 £ indica and 6 £ japonica whole-genome shotgun sequence assemblies revealed that the draft sequences provided coverage of 69% by indica and 78% by japonica relative to the map-based | + | 7.A comparison between the IRGSP genome sequence and the 6.3 £ indica and 6 £ japonica whole-genome shotgun sequence assemblies revealed that the draft sequences provided coverage of 69% by indica and 78% by japonica relative to the map-based |
sequence. | sequence. | ||
<br> | <br> | ||
Revision as of 05:27, 22 June 2016
Contents
Project Title
The map-based sequence of the rice genome
The Background of This Project
- Rice (Oryza sativa L.) is the most important food crop in the world and feeds over half of the global population. As the first step in a systematic and complete functional characterization of the rice genome, the International Rice Genome Sequencing Project(IRGSP) has generated and analysed a highly accurate finished sequence of the rice genome that is anchored to the genetic map.The researchers analysis has revealed several salient features of the rice genome.
Plant Culture & Treatment
Research Findings
- The resaerchers analysis has revealed several salient features of the rice genome:
1.Providing evidence for a genome size of 389 Mb. This size estimation is ,260 Mb larger than the fully sequenced dicot plant
model Arabidopsis thaliana. The researchers generated 370 Mb of finished sequence, representing 95% coverage of the genome and virtually all of the euchromatic regions.
2.A total of 37,544 non-transposable-element-related protein-coding sequences were detected, compared with ,28,000–29,000 in Arabidopsis, with a lower gene density of one gene per 9.9 kb in rice. A total of 2,859 genes seem to be unique to rice and the other cereals, some of which might differentiate monocot and dicot lineages.
3.Gene knockouts are useful tools for determining gene function and relating genes to phenotypes. We identified 11,487 Tos17 retrotransposon insertion sites, of which 3,243 are in genes.
4.Between 0.38 and 0.43% of the nuclear genome contains organellar DNA fragments, representing repeated and ongoing transfer of
organellar DNA to the nuclear genome.
5.The transposon content of rice is at least 35% and is populated by representatives from all known transposon superfamilies.
6.We have identified 80,127 polymorphic sites that distinguish between two cultivated rice subspecies, japonica and indica, resulting in a high-resolution genetic map for rice. Single-nucleotide polymorphism (SNP) frequency varies from 0.53 to 0.78%,
which is 20 times the frequency observed between the Columbia and Landsberg erecta ecotypes of Arabidopsis.
7.A comparison between the IRGSP genome sequence and the 6.3 £ indica and 6 £ japonica whole-genome shotgun sequence assemblies revealed that the draft sequences provided coverage of 69% by indica and 78% by japonica relative to the map-based
sequence.
Labs working on this Project
- National Institute of Agrobiological Sciences/Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries, 2-1-2 Kannondai,Tsukuba, Ibaraki 305-8602, Japan.
- The Institute for Genomic Research, 9712 Medical Center Drive,Rockville, Maryland 20850, USA.
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), 500 Caobao Road, Shanghai 200233, China.
- Centre National de Se ´quenc ¸age, INRA-URGV, and CNRS UMR-8030, 2, rue Gaston Cre ´mieux, CP 5706, 91057 EVRY Cedex, France.
- UMR PIA, Cirad-Amis, TA40-03 avenue Agropolis, 34398 Montpellier Cedex 05, France.
- Department of Plant Sciences, BIO5 Institute, The University of Arizona, Tucson, Arizona 85721, USA.
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11723, USA. 8Institute of Botany, Academia Sinica, 128, Sec. 2, Yen-Chiu-Yuan Rd, Nankang, Taipei 11529, Taiwan.
- National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 701, Taiwan.
- National Yang-Ming University, 155, Sec. 2, Li-Nong St, Peitou, Taipei 112, Taiwan.
- Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi 110021, India.
- National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
- Waksman Institute, Rutgers University, Piscataway, New Jersey 08854, USA.
- National Institute of Agricultural Science and Technology, RDA, Suwon, 441-707 Republic of Korea.
- Rice Gene Discovery Unit, Kasetsart University, Nakron Pathom 73140, Thailand.
- Centro de Genomica e Fitomelhoramento, UFPel, Pelotas, RS, l 96001-970, Brazil.
- John Innes Centre, Norwich Research Park, Colney, Norwich NR4 7UH, UK.
- Washington University Genome Sequencing Center, 3333 Forest Park Boulevard, St. Louis, Missouri 63108, USA.
- University of Wisconsin, Department of Horticulture, Madison, Wisconsin 53706, USA.
- University of Wisconsin, Department of Plant Pathology, Madison, Wisconsin 53706, USA.
- Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics, Mishima 411-8540, Japan.
- Biological Information Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo 135-0064, Japan.
- National Institute of Agrobiological Sciences, Tsukuba, Ibaraki 305-8602, Japan.
- Medical Research Institute, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo 113-8510, Japan.
- Japan Biological Information Research Center, Japan Biological Informatics Consortium, Koto-ku, Tokyo 135-0064, Japan.
- Plant Breeding Dept, Cornell University, Ithaca, New York 14850-1901, USA.
- Cold Spring Harbor Laboratory, PO Box 100, 1 Bungtown Road, Cold Spring Harbor,New York 11724, USA.
- Department of Biology, McGill University, 1205 Dr Penfield Avenue, Montreal, Quebec H3A 1B1, Canada.
- Department of Biology, York University,4700 Keele Street, Toronto, Ontario M3J 1P3, Canada.
- Biometrics and Bioinformatics Unit, International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines.
- Graduate School of Natural Sciences, Nagoya City University, Nagoya 467-8501, Japan.
- Biology Department, Brookhaven National Laboratory, Upton, New York 11973, USA.
Corresponding Author
- Takuji Sasaki (tsasaki@nias.affrc.go.jp).
