Hancock, A M and Brachi, B and et al, . (2011) Adaptation to Climate Across the Arabidopsis thaliana Genome. Science, 334. pp. 83-86.
![[img]](http://eprints.icrisat.ac.in/style/images/fileicons/application_pdf.png) |
PDF
- Published Version
Restricted to ICRISAT researchers only |
Abstract
Understanding the genetic bases and modes of adaptation to current climatic conditions is essential to accurately predict responses to future environmental change. We conducted a genome-wide scan to identify climate-adaptive genetic loci and pathways in the plant Arabidopsis thaliana. Amino acid–changing variants were significantly enriched among the loci strongly correlated with climate, suggesting that our scan effectively detects adaptive alleles. Moreover, from our results, we successfully predicted relative fitness among a set of geographically diverse A. thaliana accessions when grown together in a common environment. Our results provide a set of candidates for dissecting the molecular bases of climate adaptations, as well as insights about the prevalence of selective sweeps, which has implications for predicting the rate of adaptation.
| Item Type: | Article |
|---|---|
| Additional Information: | Funded by NIH GM083068 and NSF DEB0519961 to J.B. A.M.H. was supported by a V. Dropkin Postdoctoral Fellowship, and M.W.H. was supported by an NSF Predoctoral Fellowship and a Graduate Assistance in Areas of National Need (GAANN) training grant. F.R. was supported by a Bonus Qualité Reserche (BQR) grant from the University of Lille, and B.B. received funding from a Ph.D. fellowship from the French Research Ministry and a mobility grant from the Collège Doctoral Européen. This is contribution 11-389-J from the Kansas Agricultural Experiment Station. We thank J. Borevitz, A. Fournier-Level, M. Nordborg, A. Platt, J. Schmitt, members of the Bergelson laboratory, and two anonymous reviewers for helpful input. Climate data for the 948 accessions used in these analyses, result files for the correlation analyses, and a browser that allows for viewing the results in their genomic context are available at http://bergelson.uchicago.edu/regmap-data/ climate-genome-scan/. The genotype data used for these analyses resulted from the RegMap project (http://regmap.uchicago.edu). |
| Author Affiliation: | 1Department of Ecology and Evolution, University of Chicago, 1101 East 57th Street, Chicago, IL 60637, USA. |
| Subjects: | Crop Improvement > Genetics/Genomics |
| Divisions: | General |
| Depositing User: | Mr Siva Shankar |
| Date Deposited: | 26 Mar 2012 12:12 |
| Last Modified: | 26 Mar 2012 12:12 |
| Official URL: | http://dx.doi.org/10.1126/science.1209244 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/4196 |
Actions (login required)
 |
View Item |
