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Association mapping and the genomic consequences of selection in sunflower.

Authors :
Mandel JR
Nambeesan S
Bowers JE
Marek LF
Ebert D
Rieseberg LH
Knapp SJ
Burke JM
Source :
PLoS genetics [PLoS Genet] 2013 Mar; Vol. 9 (3), pp. e1003378. Date of Electronic Publication: 2013 Mar 21.
Publication Year :
2013

Abstract

The combination of large-scale population genomic analyses and trait-based mapping approaches has the potential to provide novel insights into the evolutionary history and genome organization of crop plants. Here, we describe the detailed genotypic and phenotypic analysis of a sunflower (Helianthus annuus L.) association mapping population that captures nearly 90% of the allelic diversity present within the cultivated sunflower germplasm collection. We used these data to characterize overall patterns of genomic diversity and to perform association analyses on plant architecture (i.e., branching) and flowering time, successfully identifying numerous associations underlying these agronomically and evolutionarily important traits. Overall, we found variable levels of linkage disequilibrium (LD) across the genome. In general, islands of elevated LD correspond to genomic regions underlying traits that are known to have been targeted by selection during the evolution of cultivated sunflower. In many cases, these regions also showed significantly elevated levels of differentiation between the two major sunflower breeding groups, consistent with the occurrence of divergence due to strong selection. One of these regions, which harbors a major branching locus, spans a surprisingly long genetic interval (ca. 25 cM), indicating the occurrence of an extended selective sweep in an otherwise recombinogenic interval.<br />Competing Interests: This study was funded by Advanta Semillas, Dow Agrosciences, Pioneer Hi-Bred, and Syngenta. There are no patents, products in development, or marketed products to declare. This does not alter the authors' adherence to all the PLOS Genetics policies on sharing data and materials, as detailed online in the guide for authors.

Details

Language :
English
ISSN :
1553-7404
Volume :
9
Issue :
3
Database :
MEDLINE
Journal :
PLoS genetics
Publication Type :
Academic Journal
Accession number :
23555290
Full Text :
https://doi.org/10.1371/journal.pgen.1003378