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Genome-wide association study of eating and cooking qualities in different subpopulations of rice (Oryza sativa L.)

Overview of attention for article published in BMC Genomics, August 2016
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Title
Genome-wide association study of eating and cooking qualities in different subpopulations of rice (Oryza sativa L.)
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-3000-z
Pubmed ID
Authors

Feifei Xu, Jinsong Bao, Qiang He, Yong-Jin Park

Abstract

Starch and protein are two major components of polished rice, and the amylose and protein contents affect eating and cooking qualities (ECQs). In the present study, genome-wide association study with high-quality re-sequencing data was performed for 10 ECQs in a panel of 227 non-glutinous rice accessions and four derived panels. Population structure accounted for high phenotypic variation in three routine panels and had minor effects on subspecies-based panels. Using the mixed linear model method based on the P + K model, we detected 29, 24, 16, 17, and 29 loci that were significant for ECQ parameters in each of the five panels. Some of these loci were close to starch synthesis-related genes. Two quantitative trait loci (QTLs) (chr.9: 15417525 ~ 15474876; 17538294 ~ 18443016) for several starch paste viscosity properties detected in four panels were close to the isoamylase 3 gene, one QTL (chr.1: 30627943 ~ 31668474) for consistency detected in three panels was close to the starch synthase IV-1 gene. The QTL (chr.7: 1118122 ~ 1967247) for breakdown (BD), detected in the whole panel and japonica panel, and one QTL (chr.7: 25312126 ~ 26540950) for BD and setback (SB), detected in the whole panel and indica panel, may be specific gene alleles in japonica or indica panels. One previously detected QTL (chr.11: 22240707 ~ 22563596) for protein content and one new QTL (chr.5: 7756614 ~ 8042699) for many ECQ traits detected in more than two panels, may represent valuable targets for future cloning of the underlying genes. This study detected minor-effect QTLs affecting ECQs, and may increase our understanding of the genetic differences regulating the formation of ECQ between indica and japonica varieties.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Malaysia 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 32%
Student > Ph. D. Student 11 21%
Professor > Associate Professor 3 6%
Student > Master 3 6%
Lecturer 2 4%
Other 5 9%
Unknown 12 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 60%
Biochemistry, Genetics and Molecular Biology 6 11%
Computer Science 2 4%
Psychology 1 2%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2016.
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#18,467,727
of 22,883,326 outputs
Outputs from BMC Genomics
#8,197
of 10,668 outputs
Outputs of similar age
#263,272
of 343,760 outputs
Outputs of similar age from BMC Genomics
#212
of 269 outputs
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