南京林业大学学报（自然科学版）2025，Vol.49Issue(5)：1-10,10.DOI:10.12302/j.issn.1000-2006.202412002
马尾松抗病种质资源筛选与基于液相芯片的SNP初步分析
Screening of disease-resistant germplasm resources of Pinus massoniana and preliminary SNP analysis based on liquid chip
摘要
Abstract
[Objective]Pinus massoniana(masson pine),a native conifer species endemic to southern China's mountainous regions,holds significant economic and ecological value.However,the spread of pine wood nematode disease(PWD)has necessitated breeding programs to enhance its resistance,and to provide critical germplasm for PWD-resistant breeding.[Method]A total of 725 half-sib progenies(from 51 families)derived from PWD-resistant P.massoniana trees were collected across five provinces(cautonomous region).Resistance was assessed via artificial inoculation with 5 000 pine wood nematodes per seedling.Genome-wide association studies(GWAS)were performed by integrating phenotypic data from inoculation assays with targeted sequencing data generated using a 101.6 K liquid-phase probe panel.[Result]Four highly resistant and ten resistant families were identified as valuable germplasm resources.Statistical analyses revealed that mixed linear model(MLM)obtained five significant SNPs(phenotypic variance explained,PVE 7.69％-11.24％).General linear model(GLM)obtained four significant SNPs(total PVE 5.96％).BLINK model obtained eleven significant SNPs(PVE 12.86％-26.43％).Nine candidate genes were functionally annotated,including P450 family proteins,pectin methylesterase inhibitors(PMEIs),and others.These genes likely regulate post-invasion immune responses by modulating cell wall structure and membrane protein recognition.[Conclusion]Fourteen P.massoniana resistant families can serve as valuable breeding materials for disease-resistant varieties.Nine candidate disease-resistant genes identified through GWAS will contribute to elucidating the disease resistance mechanisms of P.massoniana and facilitating early selection of disease-resistant varieties.关键词
马尾松/松材线虫病/全基因组关联分析/抗病基因Key words
masson pine(Pinus massoniana)/pine wilt disease(PWD)/genome-wide association study/resistance genes分类
农业科技引用本文复制引用
朱静一,刘青华,周志春,汪阳东,骆定会..马尾松抗病种质资源筛选与基于液相芯片的SNP初步分析[J].南京林业大学学报（自然科学版）,2025,49(5):1-10,10.基金项目
江西省林业局林业科技创新专项项目(创新专项[2021]13号) （创新专项[2021]13号）
国家林业和草原局揭榜挂帅配套项目(CAFYBB2021ZG001-4). （CAFYBB2021ZG001-4）
