| Title |
Comparative DNA Sequence Analysis of Wheat and Rice Genomes
|
|---|---|
| Published in |
Genome Research, August 2003
|
| DOI | 10.1101/gr.1113003 |
| Pubmed ID | |
| Authors |
Mark E. Sorrells, Mauricio La Rota, Catherine E. Bermudez-Kandianis, Robert A. Greene, Ramesh Kantety, Jesse D. Munkvold, Miftahudin, Ahmed Mahmoud, Xuefeng Ma, Perry J. Gustafson, Lili L. Qi, Benjamin Echalier, Bikram S. Gill, David E. Matthews, Gerard R. Lazo, Shiaoman Chao, Olin D. Anderson, Hugh Edwards, Anna M. Linkiewicz, Jorge Dubcovsky, Eduard D. Akhunov, Jan Dvorak, Deshui Zhang, Henry T. Nguyen, Junhua Peng, Nora L.V. Lapitan, Jose L. Gonzalez-Hernandez, James A. Anderson, Khwaja Hossain, Venu Kalavacharla, Shahryar F. Kianian, Dong-Woog Choi, Timothy J. Close, Muharrem Dilbirligi, Kulvinder S. Gill, Camille Steber, Mary K. Walker-Simmons, Patrick E. McGuire, Calvin O. Qualset |
| Abstract |
The use of DNA sequence-based comparative genomics for evolutionary studies and for transferring information from model species to crop species has revolutionized molecular genetics and crop improvement strategies. This study compared 4485 expressed sequence tags (ESTs) that were physically mapped in wheat chromosome bins, to the public rice genome sequence data from 2251 ordered BAC/PAC clones using BLAST. A rice genome view of homologous wheat genome locations based on comparative sequence analysis revealed numerous chromosomal rearrangements that will significantly complicate the use of rice as a model for cross-species transfer of information in nonconserved regions. |
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Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 2% |
| Australia | 3 | 1% |
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| Argentina | 2 | <1% |
| Sweden | 1 | <1% |
| Netherlands | 1 | <1% |
| Malaysia | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 209 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 61 | 27% |
| Student > Ph. D. Student | 42 | 18% |
| Student > Master | 20 | 9% |
| Professor > Associate Professor | 15 | 7% |
| Professor | 13 | 6% |
| Other | 45 | 20% |
| Unknown | 33 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 159 | 69% |
| Biochemistry, Genetics and Molecular Biology | 19 | 8% |
| Computer Science | 3 | 1% |
| Arts and Humanities | 2 | <1% |
| Chemical Engineering | 2 | <1% |
| Other | 5 | 2% |
| Unknown | 39 | 17% |