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基于Hyper-seq技术的甜瓜栽培品种遗传多样性研究OA

Genetic Diversity Study of Melon Cultivars Based on Hyper-seq Technology

中文摘要英文摘要

甜瓜是重要的园艺作物,具有丰富的营养与经济价值.为了解甜瓜主栽品种间的遗传多样性差异,本研究开展了基于Hyper-seq的甜瓜全基因组单核苷酸多态性(SNP)分型研究,并测定了主要农艺性状,系统评估了 64个甜瓜品种的遗传多样性与群体结构.利用Hyper-seq共鉴定出1 193 948个高质量SNP,功能注释表明其主要富集于基因间区及基因上下游的非编码区域.群体结构分析与主成分分析均将品种清晰划分为两个遗传背景差异显著的类群,类群间遗传分化程度高达0.304.甜瓜单果重和坐果个数性状变异丰富,变异系数(CV)均超过40%,单果重和果实横径在2个类群间存在显著差异.本研究揭示的二元群体结构为甜瓜品种精准鉴定、群体特异性优异等位基因挖掘及定向遗传改良奠定了理论基础.

Melon is an important horticultural crop with substantial nutritional and economic value.In this study,we integrated agronomic trait surveys with whole-genome single nucleotide polymorphism(SNP)genotyping data generated by Hyper-seq to systematically assess the genetic diversity and population structure of 64 melon accessions.A total of 1 193 948 high-quality SNPs were identified by Hyper-seq,and functional annotation revealed that these SNPs were predominantly enriched in intergenic regions and non-coding regions upstream and downstream of genes.Both population structure analysis and principal component analysis clearly divided the cultivars into two genetically distinct groups with divergent genetic backgrounds,and a high level of genetic differentiation was observed between the groups(FST=0.304).Phenotypic traits including single fruit weight and fruit-setting number exhibited extensive variation,with coefficient of variation(CV)values exceeding 40%.Significant differences in single fruit weight and fruit transverse diameter were detected between the two groups.The distinct binary population structure identified in this study lays a theoretical foundation for precise melon variety identification,mining of population-specific superior alleles,and targeted genetic improvement.

项缨;张琳;颜韶兵;陶永刚;朱梦园;夏志强;包劲松

台州科技职业学院农业与生物工程学院,浙江台州 318020浙江大学原子核农业科学研究所/农业农村部核农学重点实验室,浙江 杭州 310058杭州市农业技术推广中心,浙江 杭州 310017台州曦禾生态农业发展有限公司,浙江台州 318020海南大学三亚南繁研究院,海南三亚 572025海南大学三亚南繁研究院,海南三亚 572025浙江大学原子核农业科学研究所/农业农村部核农学重点实验室,浙江 杭州 310058

甜瓜Hyper-seqSNP遗传多样性群体结构

melonHyper-seqSNPgenetic diversitypopulation structure

《核农学报》 2026 (7)

1352-1362,11

2024年台州市第二批农业科技计划项目(24nyb11)

10.11869/j.issn.1000-8551.2026.07.1352

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