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Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS

机译:非同步GWAS揭示水稻耐深播的遗传结构和候选基因

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摘要

Dry direct-seeding of rice is rapidly increasing in China, but variable planting depth associated with machine sowing can lead to low seedling emergence rates. Phenotype analysis of 621 rice accessions showed that mesocotyl length (ML) was induced by deep soil covering and was important in deep-sowing tolerance in the field. Here, we performed and compared GWAS using three types of SNPs (non-synonymous SNP, non-synonymous SNPs and SNPs within promoters and 3 million randomly selected SNPs from the entire set of SNPs) and found that Non-Syn GWAS (GWAS using non-synonyomous SNP) decreased computation time and eliminated confounding by other loci relative to GWAS using randomly selected SNPs. Thirteen QTLs were finally detected, and two new major-effect genes, named OsML1 and OsML2, were identified by an integrated analysis. There were 2 and 7 non-synonymous SNPs in OsML1 and OsML2, respectively, from which 3 and 4 haplotypes were detected in cultivated rice. Combinations of superior haplotypes of OsML1 and OsML2 increased ML by up to 4 cm, representing high emergence rate (85%) in the field with 10 cm of soil cover. The studies provide key loci and naturally occurring alleles of ML that can be used in improving tolerance to dry direct-seeding.
机译:在中国,水稻的干式直接播种正在迅速增长,但是与机器播种相关的播种深度变化会导致幼苗出苗率降低。对621份水稻品种的表型分析表明,中耕长度(ML)是由深层土壤覆盖引起的,对田间深播耐受性具有重要意义。在这里,我们使用三种类型的SNP(非同义SNP,非同义SNP和启动子内的SNP,以及从整个SNP中随机选择的300万个SNP)执行并比较了GWAS,发现非Syn GWAS(GWAS使用非-synonyomous SNP)减少了计算时间,并消除了其他基因座相对于GWAS使用随机选择的SNP造成的混淆。最终检测到13个QTL,并通过整合分析鉴定了两个新的主要效应基因OsML1和OsML2。 OsML1和OsML2中分别有2和7个非同义SNP,在栽培稻中检测到3和4个单倍型。 OsML1和OsML2的优良单倍型的组合使ML最多增加4 cm,代表在土壤覆盖为10 cm的田间出现率很高(85%)。这些研究提供了ML的关键基因座和自然存在的等位基因,可用于提高对干直播的耐受性。

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