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Association Analysis for Quality Traits in a Diverse Panel of Chinese Sesame (Sesamum indicum L.) Germplasm

Association Analysis for Quality Traits in a Diverse Panel of Chinese Sesame (Sesamum indicum L.)... The main objective of this study was to evaluate the potential of a sesame (Sesamum indicum L.) panel for association analysis, and investigate the genetic basis of oil content (OC), protein content, oleic acid concentration, and linoleic acid concentration using association mapping. A panel of 216 sesame accessions was phenotyped in a multi‐environment trial and fingerprinted with 608 polymorphic loci produced by 79 primers, including simple sequence repeats (SSRs), sequence‐related amplified polymorphisms (SRAPs), and amplified fragment length polymorphisms (AFLPs). Population structure analysis revealed two subgroups in the population. The Q model performed better for its ability to re‐identify associations for the four traits at highly significant P‐values compared to the other three mixed models. And a total of 35 and 25 associations for the four traits in 2010 and 2011 were identified, respectively, with the Q model after Bonferroni correction. Among those associations, only one for OC was re‐identified in two environments, and several markers associated simultaneously with multiple traits were discovered. These results suggest the power and stability of the Q model for association analysis of nutritional traits in this sesame panel for its slight population stratification and familial relationship, which could aid in dissecting complex traits, and could help to develop strategies for improving nutritional quality. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Integrative Plant Biology Wiley

Association Analysis for Quality Traits in a Diverse Panel of Chinese Sesame (Sesamum indicum L.) Germplasm

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References (78)

Publisher
Wiley
Copyright
© 2013 Institute of Botany, Chinese Academy of Sciences
ISSN
1672-9072
eISSN
1744-7909
DOI
10.1111/jipb.12049
pmid
23570323
Publisher site
See Article on Publisher Site

Abstract

The main objective of this study was to evaluate the potential of a sesame (Sesamum indicum L.) panel for association analysis, and investigate the genetic basis of oil content (OC), protein content, oleic acid concentration, and linoleic acid concentration using association mapping. A panel of 216 sesame accessions was phenotyped in a multi‐environment trial and fingerprinted with 608 polymorphic loci produced by 79 primers, including simple sequence repeats (SSRs), sequence‐related amplified polymorphisms (SRAPs), and amplified fragment length polymorphisms (AFLPs). Population structure analysis revealed two subgroups in the population. The Q model performed better for its ability to re‐identify associations for the four traits at highly significant P‐values compared to the other three mixed models. And a total of 35 and 25 associations for the four traits in 2010 and 2011 were identified, respectively, with the Q model after Bonferroni correction. Among those associations, only one for OC was re‐identified in two environments, and several markers associated simultaneously with multiple traits were discovered. These results suggest the power and stability of the Q model for association analysis of nutritional traits in this sesame panel for its slight population stratification and familial relationship, which could aid in dissecting complex traits, and could help to develop strategies for improving nutritional quality.

Journal

Journal of Integrative Plant BiologyWiley

Published: Aug 1, 2013

Keywords: ; ; ;

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