Association Analysis of the Amino Acid Contents in Rice

The main objective of the present study was to identify simple sequence repeat (SSR) markers associated with the amino acid content of rice (Oryza sativa L.). SSR markers were selected by prescreening for the relationship to amino acid content. Eighty-four rice landrace accessions from Korea were ev...

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Veröffentlicht in:Journal of integrative plant biology 2009-12, Vol.51 (12), p.1126-1137
Hauptverfasser: Zhao, Weiguo, Park, Eun-Jin, Chung, Jong-Wook, Park, Yong-Jin, Chung, Ill-Min, Ahn, Joung-Kuk, Kim, Gwang-Ho
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container_end_page 1137
container_issue 12
container_start_page 1126
container_title Journal of integrative plant biology
container_volume 51
creator Zhao, Weiguo
Park, Eun-Jin
Chung, Jong-Wook
Park, Yong-Jin
Chung, Ill-Min
Ahn, Joung-Kuk
Kim, Gwang-Ho
description The main objective of the present study was to identify simple sequence repeat (SSR) markers associated with the amino acid content of rice (Oryza sativa L.). SSR markers were selected by prescreening for the relationship to amino acid content. Eighty-four rice landrace accessions from Korea were evaluated for 16 kinds of amino acids in brown rice and ganotyped with 25 SSR markers. Analysis of population structure revealed four subgroups in the population. Linkage disequilibrium (LD) patterns and distributions are of fundamental importance for genome-wide mapping associations. The mean r^2 value for all intrachromosomal loci pairs was 0.033. LD between linked markers decreased with distance. Marker-trait associations were investigated using the unified mixed-model approach, considering both population structure (Q) and kinship (K). A total of 42 marker-trait associations with amino acids (P 〈 0.05) were identified using 15 different SSR markers covering three chromosomes and explaining more than 40% of the total variation. These results suggest that association analysis in rice is a viable alternative to quantitative trait loci mapping and should help rice breeders develop strategies for improving rice quality.
doi_str_mv 10.1111/j.1744-7909.2009.00883.x
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SSR markers were selected by prescreening for the relationship to amino acid content. Eighty-four rice landrace accessions from Korea were evaluated for 16 kinds of amino acids in brown rice and ganotyped with 25 SSR markers. Analysis of population structure revealed four subgroups in the population. Linkage disequilibrium (LD) patterns and distributions are of fundamental importance for genome-wide mapping associations. The mean r^2 value for all intrachromosomal loci pairs was 0.033. LD between linked markers decreased with distance. Marker-trait associations were investigated using the unified mixed-model approach, considering both population structure (Q) and kinship (K). A total of 42 marker-trait associations with amino acids (P 〈 0.05) were identified using 15 different SSR markers covering three chromosomes and explaining more than 40% of the total variation. 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These results suggest that association analysis in rice is a viable alternative to quantitative trait loci mapping and should help rice breeders develop strategies for improving rice quality.</abstract><cop>Melbourne, Australia</cop><pub>Melbourne, Australia : Blackwell Publishing Asia</pub><pmid>20021560</pmid><doi>10.1111/j.1744-7909.2009.00883.x</doi><tpages>12</tpages></addata></record>
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subjects Amino acid content
Amino Acids - analysis
association mapping
Chromosome Mapping
Genetic Variation
Linkage Disequilibrium
Microsatellite Repeats
Oryza - chemistry
Oryza - genetics
Phenotype
population structure
simple sequence repeats
SSR标记
人口结构
数量性状位点
标记性状
氨基酸含量
水稻育种
简单序列重复
title Association Analysis of the Amino Acid Contents in Rice
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