Author
SHMUTZ, JEREMY - Department Of Energy Joint Genome | |
MCCLEAN, PHILLIP - North Dakota State University | |
MAMIDI, SUJAN - North Dakota State University | |
WU, ALBERT - Department Of Energy Joint Genome | |
Cannon, Steven | |
GRIMWOOD, JANE - Hudsonalpha Institute For Biotechnology | |
JENKINS, JERRY - Hudsonalpha Institute For Biotechnology | |
SHU, SHENQIANG - Department Of Energy Joint Genome | |
Song, Qijian | |
CHAVARRO, CAROLINA - University Of Georgia | |
GEFFROY, VALERIE - University Of Paris | |
MOGHADDAM, SAMIRA - North Dakota State University | |
DONGYING, GAO - University Of Georgia | |
ABERNATHY, BRIAN - University Of Georgia | |
BARRY, KERRIE - Department Of Energy Joint Genome | |
BLAIR, MATTHEW - University Of Georgia | |
BRICK, MARK - Colorado State University | |
CHOVATIA, MANSI - Department Of Energy Joint Genome | |
GEPTS, PAUL - University Of California | |
GOODSTEIN, DAVID - Department Of Energy Joint Genome | |
GONZALES, MICHAEL - University Of Georgia | |
HELLSTEN, UFFE - Department Of Energy Joint Genome | |
Hyten, David | |
GAOFENG, JIA - Former ARS Employee | |
KELLY, JIM - Michigan State University | |
KUDRNA, DAVE - University Of Arizona | |
LEE, RIAN - North Dakota State University | |
MANON, RICHARD - University Of Paris | |
Miklas, Phillip - Phil | |
OSORNO, JUAN - North Dakota State University | |
RODRIGUES, JOSIANE - Former ARS Employee | |
THAREAU, VINCENT - University Of Paris | |
URREA, CARLOS - University Of Nebraska | |
WANG, MEI - Department Of Energy Joint Genome | |
YU, YEISOO - University Of Arizona | |
ZHANG, MING - Department Of Energy Joint Genome | |
WING, ROD - University Of Arizona | |
Cregan, Perry | |
ROKHSAR, DANIEL - Department Of Energy Joint Genome | |
JACKSON, SCOTT - University Of Georgia |
Submitted to: Nature Genetics
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 5/13/2014 Publication Date: 6/8/2014 Citation: Shmutz, J., Mcclean, P., Mamidi, S., Wu, A., Cannon, S.B., Grimwood, J., Jenkins, J., Shu, S., Song, Q., Chavarro, C., Geffroy, V., Moghaddam, S.M., Dongying, G., Abernathy, B., Barry, K., Blair, M., Brick, M.A., Chovatia, M., Gepts, P., Goodstein, D.M., Gonzales, M., Hellsten, U., Hyten, D.L., Gaofeng, J., Kelly, J., Kudrna, D., Lee, R., Manon, R.M., Miklas, P.N., Osorno, J.M., Rodrigues, J., Thareau, V., Urrea, C.A., Wang, M., Yu, Y., Zhang, M., Wing, R.A., Cregan, P.B., Rokhsar, D.S., Jackson, S.A. 2014. A reference genome for common bean and genome wide analysis of dual domestications. Nature Genetics. 46: 707-713. DOI: 10.1038/ng.3008. Interpretive Summary: The whole genome sequence, with 27,000 annotated protein/gene sequences, provides a major genomic tool for interpreting genetic diversity, modeling genes, and dissecting complex traits and processes in common bean. The reference genome herein was used to study common bean domestication and to identify candidate genes underlying seed size QTL. This annotated sequence completes the genomics tool box and provides a reference genome which will impact all subsequent genomic-related studies on common bean. Technical Abstract: Common bean (Phaseolus vulgaris) is the single most important grain legume for human consumption and, due to its ability to fix atmospheric nitrogen via symbioses with soil-borne microorganisms, has a valuable place in sustainable agriculture. We assembled 473 Mb of the common bean genome and genetically anchored 98% of the sequence in 11 chromosome-scale pseudomolecules. We compared the common bean genome against its most economically important relative, soybean, to examine the changes in soybean after its recent whole genome duplication. Using resequencing of 60 wild individuals and 100 landraces from the two, genetically differentiated Mesoamerican and Andean gene pools, we confirmed that common bean underwent two independent domestications, starting from genetic pools that had diverged prior to human colonization. We used sequence diversity and differentiation estimates to identify a subset of genes linked with an increase in seed associated pathways and seed size and combined these results with QTL data from a multi-site association mapping trial of modern Mesomerican cultivars to identify additional genes that likely contribute to the large seed size of modern, cultivated common bean. Finally, we identified a set of genes impacted by domestication as further targets for genomics-enabled crop improvement. |