2010
DOI: 10.1038/ng.695
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Genome-wide association studies of 14 agronomic traits in rice landraces

Abstract: Uncovering the genetic basis of agronomic traits in crop landraces that have adapted to various agro-climatic conditions is important to world food security. Here we have identified ∼ 3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method. We performed genome-wide association studies (GWAS) for 14 agronomic traits in the population of Oryza sativa indica subspecies. The loci identified through GWAS explained ∼ 36% o… Show more

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Cited by 1,832 publications
(1,554 citation statements)
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References 39 publications
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“…In the soybean landraces and improved cultivars, LD increased to 83 kb and 133 kb, respectively (Fig. 2a), similar to that of cultivated rice (123 kb and 167 kb in indica and japonica, respectively) 18 but much higher than cultivated maize (30 kb) 5 . All three populations had low background LD values, but wild soybean had a relatively higher value (Supplementary Fig.…”
Section: Genomic Variationmentioning
confidence: 55%
“…In the soybean landraces and improved cultivars, LD increased to 83 kb and 133 kb, respectively (Fig. 2a), similar to that of cultivated rice (123 kb and 167 kb in indica and japonica, respectively) 18 but much higher than cultivated maize (30 kb) 5 . All three populations had low background LD values, but wild soybean had a relatively higher value (Supplementary Fig.…”
Section: Genomic Variationmentioning
confidence: 55%
“…4). The level of population differentiation, F ST , was estimated at 0.18 among the groups of O. rufipogon, which is much lower than that of O. sativa (,0.55 on average 21 ). The differentiation was not evenly distributed across the rice genome ( Supplementary Fig.…”
Section: Analysis Of Wild Rice Populationsmentioning
confidence: 79%
“…We found that the decay rate of linkage disequilibrium in O. rufipogon, expressed as r 2 , dropped to half of its maximum value at ,20 kilobases (kb) on average ( Supplementary Fig. 6), which is much more rapid than that in O. sativa (,123 kb and ,167 kb in indica and japonica, respectively) 21 . To perform GWAS in O. rufipogon, we used the k-nearest neighbour algorithm for data imputation (Supplementary Table 6), and phenotyped the O. rufipogon population for two traits, leaf sheath colour and tiller angle.…”
Section: Analysis Of Wild Rice Populationsmentioning
confidence: 89%
“…Although bi-parental mapping populations are a good method for gene cloning, limitation of genetic diversity and long time period with less resolution are the shortcoming for discovering more new genes (Pradhan et al 2016). The genome-wide association study (GWAS) method has proved to be very useful for dissecting complicated quantitative traits based on a linkage disequilibrium mapping approach (Huang et al 2010(Huang et al , 2012b(Huang et al , 2016. Recently, several studies have used GWAS to explore cold tolerance in rice.…”
Section: Introductionmentioning
confidence: 99%