花生籽仁品质性状与种皮颜色遗传分析及基因定位研究
Genetic analysis and gene mapping of kernel quality traits and testa color in peanut
摘要
Abstract
Enhancing peanut kernel quality is crucial to ensuring grain and oil security and industrial competitiveness,with seed coat color being an important agronomic trait in peanut.In this study,a recombinant inbred line(RIL)population was constructed using Jihuatian 1(red seed coat)and JM135(pink seed coat)as parents.Major quality traits of the population kernels were de-tected using a near-infrared spectrometer.Based on HSV and RGB color space models,the RGB phenotypic data and seed coat color index(p)of the population were obtained.Genetic analysis was performed using the R package SEA v2.0.The results showed that the optimal genetic model for anthocyanin,oil,and sucrose contents in peanut kernels was 4MG-EEEA,for protein and linoleic acid contents,it was 4MG-EEA;and for oleic acid and palmitic acid contents,it was 4MG-CEA.The optimal genetic models for the R,G,B,and p values of peanut seed coat color were all 4MG-EEEA.Furthermore,the gene controlling seed coat color were preliminarily mapped using BSA-seq technology.By employing the ΔSNP-index method and the ED method,the tar-get gene was ultimately located in a 2.06 Mb interval on Arahy.03.Six candidate genes were screened based on gene annotation information.Expression profile and variation analysis indicated that Arahy.07ZIFT underwent a non-synonymous mutation,while Arahy.W8TDEC and Arahy.WZ366M exhibited high expression levels during seed development,suggesting they are likely candi-date genes associated with testa color.The research findings provide a theoretical basis for understanding the genetics and mo-lecular mechanisms of quality traits and seed coat color in peanuts.关键词
花生/种皮颜色/品质性状/遗传分析/基因定位Key words
peanut/testa color/quality trait/genetic analysis/gene mapping引用本文复制引用
许静,马俊卿,张昆,刘风珍,迟晓元,樊博恒,王恩琪,潘丽娟,殷祥贞,陈娜,乔利仙,姜骁,赵旭红..花生籽仁品质性状与种皮颜色遗传分析及基因定位研究[J].作物学报,2026,52(8):2279-2296,18.基金项目
本研究由山东省重点研发计划项目(2025LZGC020,2025CXPT167),山东省农业科学院农业科技创新工程项目(CXGC2026C41,CXGC2025F19,CXGC2025C19),财政部和农业农村部国家现代农业产业技术体系建设专项(CARS-13),泰山学者工程项目(tstp20240523,tsqn202312292),山东省自然科学基金项目(ZR2023QC177,ZR2023QC146,ZR2025QC282),农业农村部油料作物生物学与遗传育种重点实验室项目(KF2024007)和青岛市自然科学基金青年项目(25-1-1-38-zyyd-jch)资助.This study was supported by the Key R&D Program of Shandong Province(2025LZGC020,2025CXPT167),the Innovation Project of SAAS(CXGC2026C41,CXGC2025F19,CXGC2025C19),the China Agriculture Research System of MOF and MARA(CARS-13),the Taishan Scholars Program(tstp20240523,tsqn202312292),the Natural Science Fund of Shandong Province(ZR2023QC177,ZR2023QC146,ZR2025QC282),the Open Project of Key Laboratory of Biology and Genetic Improvement of Oil Crops,Ministry of Agriculture and Rural Affairs(KF2024007),and the Qingdao Natural Science Foundation Youth Project(25-1-1-38-zyyd-jch). (2025LZGC020,2025CXPT167)