基于高密度遗传图谱定位水稻籽粒性状QTL
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1.连云港市农业科学院/江苏省现代作物生产协同创新中心;2.江苏省农业科学院种质资源与生物技术研究所

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国家现代农业产业技术体系项目(CARS-01-61);江苏省种业振兴项目(JBGS(2021)039, JBGS[2021]043);江苏省现代农业重点项目(BE2021321);江苏省农业自主创新资金(CX[23]1001);连云港市财政专项(QNJJ2203, QNJJ2306)


QTL Mapping for Grain Traits Based on a High-Density Genetic Map in Rice
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Affiliation:

1.Lianyungang Academy of Agricultural Sciences/Jiangsu Collaborative Innovation Center for Modern Corp Production;2.Institute of Germplasm Resources and Biotechnology,Jiangsu Academy of Agricultural Sciences

Fund Project:

National Project for Modern Agricultural Technology System (CARS-01-61); Revitalization of the Seed Industry Project of Jiangsu Province (JBGS[2021]039, JBGS[2021]043); Key Projects of Modern Agriculture in Jiangsu Province; Jiangsu Agricultural Science and Technology Innovation (CX[23]1001); Financial Grant Support Program of Lianyungang City (QNJJ2203, QNJJ2306)

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    摘要:

    籽粒性状直接影响水稻的产量和品质,因此,解析水稻籽粒性状的遗传机制对提高水稻产量和品质至关重要。本研究以籽粒性状差异较大的穞稻和广百香占为亲本构建定位群体,利用水稻1 K mGPS SNP芯片对定位群体进行基因分型,构建了包含770个Bin标记的高密度遗传图谱,通过QTL定位分析,最终鉴定出17个调控籽粒性状的QTLs,其中粒长QTL 4个,粒宽QTL 3个,粒厚QTL 3个,长宽比QTL 2个,千粒重QTL 5个,LOD值介于2.55~42.44之间,表型贡献率介于4.73%~29.63%之间。在这17个QTLs中,9个为已知粒型基因位点,8个可能是新鉴定位点,分别为粒长qGL6、粒宽qGW5、qGW10和qGW12、粒厚qGT10、长宽比qGLWR5-2、千粒重qTGW10和qTGW11。根据新发现粒宽QTL(qGW5)定位区间内的基因注释、与拟南芥的同源基因比对、时空表达分析、激素响应分析和序列分析,最终筛选到1个编码CCCH类锌指蛋白的调控水稻粒宽的候选基因Os05g0195101。本研究为进一步开展水稻籽粒性状基因的克隆和遗传调控的解析奠定了基础。

    Abstract:

    Grain traits have a direct impact on the yield and quality of rice. Therefore, understanding the genetic mechanism underlying these traits is crucial for improving rice yield and quality. In this study, Ludao and Guangbaixiangzhan (GBXZ), which exhibit significant differences in grain traits, were used as parent plants to create a segregating population. Using the 1 K mGPS rice SNP chip, the targeted population was genotyped and a high-density genetic map containing 770 Bin markers was constructed. Through QTL mapping analysis, a total of 17 grain traits related QTLs were detected, including 4 QTLs for grain length, 3 QTLs for grain width, 3 QTLs for grain thickness, 2 QTLs for length-to-width ratio, and 5 QTLs for 1000-grain weight. The phenotypic variation explained by these QTLs ranged from 4.73% to 29.63% with the LOD values ranging from 2.55 to 42.44. Of these 17 QTLs, 9 QTLs were known loci related to grain size, and 8 QTLs might be newly identified. Among the 8 new QTLs, qGL6 was related to grain length, qGW5, qGW10 and qGW12 were related to grain width, qGT10 was related to grain thickness, qGLWR5-2 was related to length to width ratio of grain, qTGW10 and qTGW11 were related to 10000 grain weight. Based on the gene annotation, Arabidopsis homologous gene comparison, spatiotemporal expression analysis, hormone response analysis, and sequence analysis of the candidate genes in the definite qGW5 region, a candidate gene Os05g0195101 encoding a CCCH-like zinc-finger protein for regulating rice grain width was finally screened. This study lays the foundation for further cloning of rice grain trait genes and analyzing the genetic regulation of grain traits.

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历史
  • 收稿日期:2023-11-20
  • 最后修改日期:2024-02-01
  • 录用日期:2024-05-06
  • 在线发布日期: 2024-05-08
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