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水稻营养生长期耐旱性的连锁图谱构建与候选基因发掘

Linkage Mapping and Discovery of Candidate Genes for Drought Tolerance in Rice During the Vegetative Growth Period.

作者信息

Jiao Aixia, Chen Li, Ma Xiaoding, Ma Jing, Cui Di, Han Bing, Sun Jianchang, Han Longzhi

机构信息

Institute of Crop Germplasm Resources, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China.

Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.

出版信息

Rice (N Y). 2024 Aug 29;17(1):53. doi: 10.1186/s12284-024-00733-9.

Abstract

Drought is a major abiotic stress affecting crop yields. Mapping quantitative trait loci (QTLs) and mining genes for drought tolerance in rice are important for identifying gene functions and targets for molecular breeding. Here, we performed linkage analysis of drought tolerance using a recombinant inbred line population derived from Jileng 1 (drought sensitive) and Milyang 23 (drought tolerant). An ultra-high-density genetic map, previously constructed by our research team using genotype data from whole-genome sequencing, was used in combination with phenotypic data for rice grown under drought stress conditions in the field in 2017-2019. Thirty-nine QTLs related to leaf rolling index and leaf withering degree were identified, and QTLs were found on all chromosomes except chromosomes 6, 10, and 11. qLWD4-1 was detected after 32 days and 46 days of drought stress in 2017 and explained 7.07-8.19% of the phenotypic variation. Two loci, qLRI2-2 and qLWD4-2, were identified after 29, 42, and 57 days of drought stress in 2018. These loci explained 10.59-17.04% and 5.14-5.71% of the phenotypic variation, respectively. There were 281 genes within the QTL interval. Through gene functional annotation and expression analysis, two candidate genes, Os04g0574600 and OsCHR731, were found. Quantitative reverse transcription PCR analysis showed that the expression levels of these genes were significantly higher under drought stress than under normal conditions, indicating positive regulation. Notably, Os04g0574600 was a newly discovered drought tolerance gene. Haplotype analysis showed that the RIL population carried two haplotypes (Hap1 and Hap2) of both genes. Lines carrying Hap2 exhibited significantly or extremely stronger drought tolerance than those carrying Hap1, indicating that Hap2 is an excellent haplotype. Among rice germplasm resources, there were two and three haplotypes of Os04g0574600 and OsCHR731, respectively. A high proportion of local rice resources in Sichuan, Yunnan, Anhui, Guangdong and Fujian provinces had Hap of both genes. In wild rice, 50% of accessions contained Hap1 of Os04g0574600 and 50% carried Hap4; 13.51%, 59.46% and 27.03% of wild rice accessions contained Hap1, Hap2, and Hap3, respectively. Hap2 of Os04g0574600 was found in more indica rice resources than in japonica rice. Therefore, Hap2 has more potential for utilization in future drought tolerance breeding of japonica rice.

摘要

干旱是影响作物产量的主要非生物胁迫。定位水稻耐旱性的数量性状位点(QTL)并挖掘相关基因对于鉴定基因功能和分子育种靶点具有重要意义。在此,我们利用来自吉冷1号(干旱敏感型)和密阳23号(耐旱型)的重组自交系群体进行了耐旱性连锁分析。我们研究团队先前利用全基因组测序的基因型数据构建的超高密度遗传图谱,与2017 - 2019年田间干旱胁迫条件下种植的水稻表型数据相结合。鉴定出39个与叶片卷曲指数和叶片枯萎程度相关的QTL,除第6、10和11号染色体外,在所有染色体上均发现了QTL。qLWD4 - 1在2017年干旱胁迫32天和46天后被检测到,解释了7.07 - 8.19%的表型变异。在2018年干旱胁迫29、42和57天后鉴定出两个位点,qLRI2 - 2和qLWD4 - 2。这些位点分别解释了10.59 - 17.04%和5.14 - 5.71%的表型变异。QTL区间内有281个基因。通过基因功能注释和表达分析,发现了两个候选基因,Os04g0574600和OsCHR731。定量逆转录PCR分析表明,这些基因在干旱胁迫下的表达水平显著高于正常条件下,表明其具有正调控作用。值得注意的是,Os04g0574600是一个新发现的耐旱基因。单倍型分析表明,重组自交系群体携带这两个基因的两种单倍型(Hap1和Hap2)。携带Hap2的株系表现出比携带Hap1的株系显著更强或极强的耐旱性,表明Hap2是一个优良单倍型。在水稻种质资源中,Os04g0574600和OsCHR731分别有两种和三种单倍型。四川、云南、安徽、广东和福建等省的大部分地方水稻资源都具有这两个基因的单倍型。在野生稻中,50%的材料含有Os04g0574600的Hap1,50%携带Hap4;13.51%、59.46%和27.03%的野生稻材料分别含有Hap1、Hap2和Hap3。在籼稻资源中发现的Os04g0574600的Hap2比粳稻中更多。因此,Hap2在未来粳稻耐旱育种中具有更大的利用潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360a/11358570/01fe360d0bfa/12284_2024_733_Fig1_HTML.jpg

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