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Regional association analysis of metaQTLs delineates candidate grain size genes in rice

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Title Regional association analysis of metaQTLs delineates candidate grain size genes in rice
 
Creator Daware, Anurag V.
Srivastava, Rishi
Singh, Ashok K.
Parida, Swarup K.
Tyagi, Akhilesh K.
 
Subject QTL mapping
grain size
grain weight
metaQTL
regional association mapping
rice
 
Description Accepted date: 29 April 2017
Molecular mapping studies which aim to identify genetic basis of diverse agronomic traits are vital for marker-assisted crop improvement. Numerous Quantitative Trait Loci (QTLs) mapped in rice span long genomic intervals with hundreds to thousands of genes, which limits their utilization for marker-assisted genetic enhancement of rice. Although potent, fine mapping of QTLs is challenging task as it requires screening of large number of segregants to identify suitable recombination events. Association mapping offers much higher resolution as compared to QTL mapping, but detects considerable number of spurious QTLs. Therefore, combined use of QTL and association mapping strategies can provide advantages associated with both these methods. In the current study, we utilized meta-analysis approach to identify metaQTLs associated with grain size/weight in diverse Indian indica and aromatic rice accessions. Subsequently, attempt has been made to narrow-down identified grain size/weight metaQTLs through individual SNP- as well as haplotype-based regional association analysis. The study identified six different metaQTL regions, three of which were successfully revalidated, and substantially scaled-down along with GS3 QTL interval (positive control) by regional association analysis. Consequently, two potential candidate genes within two reduced metaQTLs were identified based on their differential expression profiles in different tissues/stages of rice accessions during seed development. The developed strategy has broader practical utility for rapid delineation of candidate genes and natural alleles underlying QTLs associated with complex agronomic traits in rice as well as major crop plants enriched with useful genetic and genomic information.
The authors thankfully acknowledge the financial support for this study provided by a research grant from the Department of Biotechnology (DBT), Government of India (102/IFD/SAN/2161/2013-14). AD acknowledges the DBT for Senior Research Fellowship award.
 
Date 2017-07-11T11:26:26Z
2017-07-11T11:26:26Z
2017
 
Type Article
 
Identifier Frontiers in Plant Science, 8: 807
1664-462X
http://59.163.192.83:8080/jspui/handle/123456789/765
http://journal.frontiersin.org/article/10.3389/fpls.2017.00807/full
https://doi.org/10.3389/fpls.2017.00807
 
Language en_US
 
Publisher Frontiers Media S.A.