2021
DOI: 10.1016/j.molp.2020.12.003
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Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus

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Cited by 144 publications
(158 citation statements)
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“…The most promising candidate genes were determined based on (i) their potential attributions to seed vigor in various environment conditions reported in the scientific literature, and (ii) containing highly associated SNP markers within the coding regions. In order to give a priority to the candidate genes, a comprehensive score was evaluated for each candidate gene by considering the GWAS gene internal and promoter region QTLs p-value, effect variation, and haplotype variation [86].…”
Section: Genome-wide Association Analysismentioning
confidence: 99%
“…The most promising candidate genes were determined based on (i) their potential attributions to seed vigor in various environment conditions reported in the scientific literature, and (ii) containing highly associated SNP markers within the coding regions. In order to give a priority to the candidate genes, a comprehensive score was evaluated for each candidate gene by considering the GWAS gene internal and promoter region QTLs p-value, effect variation, and haplotype variation [86].…”
Section: Genome-wide Association Analysismentioning
confidence: 99%
“…The TWAS technique aims to solve this problem and is becoming a powerful tool which provides abundant expression and association data aided by improved algorithms. The fact that TWASs have been successfully implemented in cotton fiber (Li et al, 2020) and rapeseed (Tang et al, 2020) provided motivation to conduct a TWAS in cotton anther. By applying TWAS, GhHRK1 was associated with a pollen phenotype, and it is one of 75 PCgenes detected by the GWAS, suggesting that TWASs can be used to support the findings of GWAS analyses and so facilitate the identification of causal factors more precisely.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, eQTLs can be used to estimate the effects on gene expression and then be combined with physical phenotypes to conduct transcriptome‐wide association studies (TWASs) to identify pivotal expression–trait associations (Gusev et al, 2016). The TWAS algorithm has been successfully implemented in cotton fiber and rapeseed to identify causal genes for important agronomic traits (Li et al, 2020; Tang et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…A total of 443 lines originated in China, 28 from Europe, 10 from Japan, 5 from Canada, 6 from Australia, 3 from Korea, and 10 unknown. 24 …”
Section: Methodsmentioning
confidence: 99%
“…After extracting oil, OSR cakes and OSR meals function as an important poultry feed and fertilizer. Since the release of the B. napus reference genome, 22 dozens of agriculturally important traits have been dissected by GWAS, 23 , 24 although few studies have included B. napus seed phytate traits. In this study, a diverse panel of 505 B. napus accessions was scored for seed phytate concentration and content and 119 significant associated single nucleotide polymorphism (SNP) loci were identified by GWAS.…”
Section: Introductionmentioning
confidence: 99%