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南瓜果胶含量的全基因组关联分析与候选基因预测

陶鹏 丁小雅 岳智臣 赵彦婷 雷娟利 胡齐赞 臧运祥 李必元

浙江农业学报2025,Vol.37Issue(6):1244-1251,8.
浙江农业学报2025,Vol.37Issue(6):1244-1251,8.DOI:10.3969/j.issn.1004-1524.20240543

南瓜果胶含量的全基因组关联分析与候选基因预测

Genome-wide association study and candidate gene prediction of pectin content of pumpkin(Cucurbita moschata)

陶鹏 1丁小雅 2岳智臣 1赵彦婷 1雷娟利 1胡齐赞 1臧运祥 3李必元1

作者信息

  • 1. 浙江省农业科学院蔬菜研究所,浙江 杭州 310021
  • 2. 浙江省农业科学院蔬菜研究所,浙江 杭州 310021||浙江农林大学园艺科学学院,浙江 杭州 311300
  • 3. 浙江农林大学园艺科学学院,浙江 杭州 311300
  • 折叠

摘要

Abstract

To investigate the genetic regulatory mechanisms of pectin content in pumpkin and identify key genes,and provide a theoretical basis for the genetic improvement of pumpkin fruit texture quality,pectin content of 208 pump-kin germplasm resources was determined using sulfuric acid-carbazole method,a genome-wide association study(GW AS)was conducted by integrating the pectin content data with single nucleotide polymorphisms(SNP)obtained from whole-genome resequencing,candidate gene screening and functional annotation were performed in the signifi-cantly associated genomic regions.The results revealed that pumpkin pectin content followed a normal distribution,21 SNPs significantly associated with pumpkin pectin content were identified on chromosomes 2,4,12,and 20,with 13 significant SNPs located in 8330664-8436445 on chromosome 2.Totally,40 candidate genes were screened,with three genes(gene ID were CmoCh02G014160,CmoCh02G014170 and CmoCh02G014260)annotated to be involved in sugar metabolism pathways.These three candidate genes had a large number of SNP and InDel variations in the pumpkin germplasm resources,and were expressed in pumpkin fruits,they may be involved in pectin biosynthesis in pumpkin fruits.This study can provides new molecular markers and candidate genes for optimizing pectin content and improving pumpkin quality through genetic breeding.

关键词

南瓜/果胶/全基因组关联分析/基因/糖代谢

Key words

pumpkin/pectin/genome-wide association study/gene/sugar metabolism

分类

农业科技

引用本文复制引用

陶鹏,丁小雅,岳智臣,赵彦婷,雷娟利,胡齐赞,臧运祥,李必元..南瓜果胶含量的全基因组关联分析与候选基因预测[J].浙江农业学报,2025,37(6):1244-1251,8.

基金项目

浙江省农作物种质资源精准鉴定评价任务(南瓜)(2022R23T60D01) (南瓜)

浙江农业学报

OA北大核心

1004-1524

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