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小麦株高全基因组关联分析与候选基因预测

车卓 王鹏 田甜 张沛沛 陈涛 刘媛 杨德龙

农业生物技术学报2024,Vol.32Issue(2):259-272,14.
农业生物技术学报2024,Vol.32Issue(2):259-272,14.DOI:10.3969/j.issn.1674-7968.2024.02.002

小麦株高全基因组关联分析与候选基因预测

Genome-wide Association Study and Candidate Gene Prediction for Plant Height in Wheat(Triticum aestivum)

车卓 1王鹏 2田甜 2张沛沛 3陈涛 2刘媛 2杨德龙4

作者信息

  • 1. 甘肃农业大学生命科学技术学院,兰州 730070||甘肃省种子总站,兰州 730070
  • 2. 甘肃农业大学生命科学技术学院,兰州 730070
  • 3. 省部共建干旱生境作物学国家重点实验室,兰州 730070
  • 4. 甘肃农业大学生命科学技术学院,兰州 730070||省部共建干旱生境作物学国家重点实验室,兰州 730070
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摘要

Abstract

Plant height(PH)is one of the important agronomic traits in wheat(Triticum aestivum)and is highly correlated with wheat yield.In order to further illustrate the genetic basis of wheat PH,132 wheat cultivars(lines)were phenotyped under 4 environmental conditions in this study,and genome-wide association analysis(GWAS)of PH was performed based on the mixed liner model(MLM)using a wheat 35K single nucleotide polymorphism(SNP)assay.The results showed that the phenotypic variation of wheat PH was significantly affected by environment and was significantly correlated with the environment,with a broad-sense heritability(h2B)of 0.60.A total of 22 SNPs significantly associated with PH(P≤0.001)were identified in this study,among which 7 SNPs were identified in 2 or 3 environments,which were stably associated SNPs and distributed on chromosomes 1A,1B,1D,2D,and 4A.One to 3 stably associated SNPs identified on each chromosome,and a single stably associated SNP could explain 9.15%~15.07%of the phenotypic variation.4 stably associated SNPs overlapped with reported QTLs for PH,and the remaining 3 stably associated SNPs were new loci probably.265 genes in the 1 Mb interval upstream and downstream of the stably associated loci were analyzed for functional homology in rice(Oryza sativa),and 7 candidate genes were screened for possible effects on PH development.This study may provide new markers and genetic resources for wheat PH improvement.

关键词

小麦/株高/SNP/全基因组关联分析(GWAS)/候选基因

Key words

Wheat/Plant height/SNP/Genome-wide association analysis(GWAS)/Candidate gene

分类

农业科学

引用本文复制引用

车卓,王鹏,田甜,张沛沛,陈涛,刘媛,杨德龙..小麦株高全基因组关联分析与候选基因预测[J].农业生物技术学报,2024,32(2):259-272,14.

基金项目

甘肃省农业重点研发计划(21YF5NA089) (21YF5NA089)

中央引导地方科技发展资金(23ZYQA0322) (23ZYQA0322)

甘肃省高等学校产业支撑计划(2022CYZC-44) (2022CYZC-44)

甘肃省自然科学基金(21JR7RA828) (21JR7RA828)

甘肃省高等学校创新基金(2021B-125) (2021B-125)

农业生物技术学报

OACSTPCD

1674-7968

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