基于QTL-Seq的水稻抗细菌性条斑病QTL定位
收稿日期: 2022-06-14
修回日期: 2022-08-05
网络出版日期: 2023-03-10
基金资助
广西自然科学基金资助项目(2019GXNSFBA245031);广西自然科学基金资助项目(2022GXNSFAA035266);广西科技计划资助项目(桂科AB21220016);广西农业科学院科技发展基金资助项目(桂农科2022JM21)
QTL-Seq Analysis for Identification of Resistance Locus to Bacterial Leaf Streak in Rice
Received date: 2022-06-14
Revised date: 2022-08-05
Online published: 2023-03-10
【目的】发掘水稻抗细菌性条斑病新基因，丰富抗病基因资源，为水稻抗细菌性条斑病基因克隆及分子育种提供依据。【方法】以抗病材料广西普通野生稻WP1和感病品种9311及其衍生的F8:9代RIL群体为研究材料，利用QTL-Seq初定位与细菌性条斑病抗性相关的区间，之后利用QTL Ici Mapping 4.1进行复合区间作图以验证结果并精细定位。【结果】分别在第4、8、10染色体上鉴定了一个与细菌性条斑病抗性相关的位点，复合区间作图验证了第4染色体抗细菌性条斑病QTL位点qBLS4.1，表型贡献率和LOD值分别为10.65%和5.03，并进一步将qBLS4.1精细定位在521 kb的范围内。抗感亲本序列比对分析发现，在41个基因的编码区共有252个非同义突变，可能与细菌性条斑病抗性相关。【结论】通过QTL-seq分析结合复合区间作图法可以更快速高效地对水稻QTL进行定位，鉴定了一个抗细菌性条斑病性QTL新位点qBLS4.1，为水稻抗细菌性条斑病新基因鉴定与克隆奠定基础。
韦敏益, 马增凤, 黄大辉, 秦媛媛, 刘驰, 卢颖萍, 罗同平, 李振经, 张月雄, 秦钢 . 基于QTL-Seq的水稻抗细菌性条斑病QTL定位[J]. 中国水稻科学, 2023 , 37(2) : 133 -141 . DOI: 10.16819/j.1001-7216.2023.220607
【Objective】 The aim is to identify new resistance genes to bacterial leaf streak(BLS) and enrich the disease-resistance gene resources in rice, so as to lay a foundation for resistance gene cloning and molecular breeding in rice. 【Method】 A population of 278 recombinant inbred lines (RILs) was developed by crossing WP1 and 9311. WP1 was derived from Guangxi common wild rice(Oryza rufipogon Griff.), which was resistant to BLS, while 9311 was highly susceptible to BLS. QTL-Seq was used to analyze the high resistant and susceptible pools and their parents for quickly locating the genomic regions harboring QTLs resistance to BLS. Subsequently the resistant locus was further verified by QTL mapping using Ici Mapping 4.1 and narrowed down by substitution mapping.【Result】 Three genomic regions harboring resistance QTLs to BLS were identified on chromosomes 4, 8 and 10, respectively. A major resistance locus was verified by ICIM on chromosome 4, designated as qBLS4.1 accounting for 10.65% of the phenotypic variation with a LOD score of 5.03. Finally, the qBLS4.1 locus was delimited in the region of 521 kb from 5.27 to 5.79 Mb by substitution mapping, and there were 41 predicted protein-encoding genes with a total of 252 non-synonymous mutations between the resistant and susceptible parents.【Conclusion】 QTL-Seq combined with ICIM method can locate QTLs in rice more quickly and efficiently. The QTL qBLS4.1, a new locus against BLS will lay a basis and provide a reference for locating and cloning new genes for BLS resistance.
Key words： rice; bacterial leaf streak(BLS); QTL-Seq; mapping
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