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Genome-wide association study and candidate gene analysis of alkalinity tolerance in japonica rice germplasm at the seedling stage

机译:幼苗粳稻种质中粳稻种质碱性耐受性基因组关联研究及候选基因分析

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Background Salinity-alkalinity stress is one of the major factors limiting rice production. The damage caused by alkaline salt stress to rice growth is more severe than that caused by neutral salt stress. At present, the genetic resources (quantitative trait loci (QTLs) and genes) that can be used by rice breeders to improve alkalinity tolerance are limited. Here, we assessed the alkalinity tolerance of rice at the seedling stage and performed a genome-wide association study (GWAS) based on genotypic data including 788,396 single-nucleotide polymorphisms (SNPs) developed by re-sequencing 295 japonica rice varieties. Results We used the score of alkalinity tolerance (SAT), the concentrations of Nasup+/sup and Ksup+/sup in the shoots (SNC and SKC, respectively) and the Nasup+/sup/Ksup+/sup ratio of shoots (SNK) as indices to assess alkalinity tolerance at the seedling stage in rice. Based on population structure analysis, the japonica rice panel was divided into three subgroups. Linkage disequilibrium (LD) analysis showed that LD decay occurred at 109.77?kb for the whole genome and varied between 13.79?kb and 415.77?kb across the 12 chromosomes, at which point the pairwise squared correlation coefficient ( r sup2/sup) decreased to half of its maximum value. A total of eight QTLs significantly associated with the SAT, SNC and SNK were identified by genome-wide association mapping. A common QTL associated with the SAT, SNC and SNK on chromosome 3 at the position of 15.0?Mb, which explaining 13.36~13.64% of phenotypic variation, was selected for further analysis. The candidate genes were filtered based on LD decay, Gene Ontology (GO) enrichment, RNA sequencing data, and quantitative real-time PCR (qRT-PCR) analysis. Moreover, sequence analysis revealed one 7-bp insertion/deletion (indel) difference in LOC_Os03g26210 ( OsIRO3 ) between the alkalinity-tolerant and alkalinity-sensitive rice varieties. OsIRO3 encodes a bHLH-type transcription factor and has been shown to be a negative regulator of the Fe-deficiency response in rice. Conclusion Based on these results, OsIRO3 maybe a novel functional gene associated with alkalinity tolerance in japonica rice. This study provides resources for improving alkalinity tolerance in rice, and the functional molecular marker could be verified to breed new rice varieties with alkalinity tolerance via marker-assisted selection (MAS).
机译:背景技术盐度 - 碱度应力是限制水稻生产的主要因素之一。碱性盐胁迫对水稻生长引起的损害比中性盐胁迫引起的损伤更严重。目前,水稻育种者可以使用以改善碱度耐受的遗传资源(定量性状基因座(QTLS)和基因)是有限的。在这里,我们评估了幼苗阶段的水稻的碱度耐受性,并基于基因型数据进行了基因组 - 宽的关联研究(GWAS),包括通过再测序295粳稻品种而开发的788,396个单核苷酸多态性(SNP)。结果我们利用碱度耐受(SAT)的得分,Na + / sup>和K + 分别在芽(snc和skc)和na 中的浓度+ / sup> / k + / sup>比例的芽(snk)作为索引,以评估水稻幼苗阶段的碱性耐受性。基于人口结构分析,粳稻面板分为三个亚组。连接不平衡(LD)分析表明,LD衰减发生在整个基因组109.77ΩkB时发生,并且在12染色体上以13.79Ωkb和415.77Ωkb变化,此时重比平方相关系数(R 2 )减少到其最大值的一半。通过基因范围的关联映射识别总共八个与SAT,SNC和SNK显着相关的QTL。选择在染色体3上的常见QTL,在染色体3上,在15.0μmb1mb的位置,选择了13.36〜13.64%的表型变异,以进一步分析。基于LD衰变,基因本体学(GO)富集,RNA测序数据和定量实时PCR(QRT-PCR)分析来过滤候选基因。此外,序列分析显示耐碱性和碱度敏感水稻品种之间的17bp插入/缺失(Indel)差异(Osiro3)。 Osiro3编码BHLH型转录因子,并且已被证明是水稻中Fe缺乏反应的负调节因子。结论基于这些结果,Osiro3也许是粳稻碱性耐受相关的新型功能基因。该研究提供了改善水稻碱度耐受性的资源,并且可以通过标记辅助选择(MAS)来验证功能性分子标记以培育新的水稻品种。

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