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Association analysis uncovers the genetic basis of general combining ability of 11 yield-related traits in parents of hybrid rice

机译:关联分析揭示了杂交稻亲本11个产量相关性状的一般配合力的遗传基础

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摘要

Association analysis between constructed single nucleotide polymorphism linkage disequilibrium blocks (SNPLDBs) and general combining ability (GCA) effects is a novel approach to uncover the genetic basis of GCA within the sequence genomes of parents of hybrid rice. Here, we calculated the GCA effect values of 33 parents of hybrid rice and sequenced them to identify genome-wide single nucleotide polymorphisms (SNPs). In total, 64.6 % of the uniquely mapped paired-end short reads revealed a final total of 291 959 SNPs between the 33 parental genomes and the Nipponbare reference genome. The identified SNPs were non-randomly distributed among all chromosomes of rice, whereas one-fourth of the SNPs were situated in the exonic regions with 16 % being non-synonymous. Further, the identified SNPs were merged and optimized for construction of 2612 SNPLDB markers, using linkage disequilibrium information. The single-factor analysis of variance-based association method between the constructed SNPLDB markers and GCA effects values detected 99 significant SNPLDBs for GCA of 11 yield-related traits. The associated SNPLDB markers explained 26.4 % of phenotypic variations with traits, on average. We mined 50 favourable GCA alleles at the associated SNPLDBs regions, distributed across the 33 parental genomes. The parental genomes possessed a small number of favourable GCA alleles for studied traits, with the exception of days to heading and plant height. Our results suggest that the identified GCA alleles could be used to improve the GCA performance of parents of hybrid rice through optimal crossing design. Moreover, favourable GCA alleles should be incorporated in the parental genomes through marker-assisted selection experiments, and the parental lines carrying more alleles could be utilized in breeding as superior parents for developing rice hybrids of desirable characteristics.
机译:构建的单核苷酸多态性连锁不平衡块(SNPLDBs)和一般结合能力(GCA)效应之间的关联分析是一种揭示杂交水稻亲本序列基因组中GCA遗传基础的新方法。在这里,我们计算了33个杂交水稻亲本的GCA效应值,并对它们进行了测序,以鉴定全基因组范围的单核苷酸多态性(SNP)。总共有64.6%的独特映射的配对末端短读揭示了33个亲本基因组和Nipponbare参考基因组之间的最终总共291 959个SNP。鉴定出的SNPs非随机分布在水稻的所有染色体上,而四分之一的SNPs位于外显子区域,其中16%是非同义的。此外,使用连锁不平衡信息对已鉴定的SNP进行合并和优化,以构建2612 SNPLDB标记。在构建的SNPLDB标记和GCA效应值之间的基于方差的关联方法的单因素分析中,检测到11个产量相关性状的GCA的99个重要SNPLDB。相关的SNPLDB标记平均解释了26.4%的具有性状的表型变异。我们在相关的SNPLDBs区域提取了50个有利的GCA等位基因,分布在33个亲本基因组中。亲本基因组拥有少量有利于研究性状的GCA等位基因,但抽穗期和株高天数除外。我们的结果表明,鉴定出的GCA等位基因可用于通过最佳杂交设计改善杂交水稻亲本的GCA性能。此外,应通过标记辅助选择实验将有利的GCA等位基因掺入亲本基因组中,携带更多等位基因的亲本系可作为优良亲本用于育成具有所需特性的水稻杂交种。

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