Multiple-model GWAS identifies optimal allelic combinations of quantitative trait loci for malic acid in tomato  

作　　者：Wenxian Gai Fan Yang Liangdan Yuan Saeed ul Haq Yaru Wang Ying Wang Lele Shang Fangman Li Pingfei Ge Haiqiang Dong Jinbao Tao Fei Wang Xingyu Zhang Yuyang Zhang 

机构地区：[1]National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops,Huazhong Agricultural University,Wuhan 430070,China [2]Hubei Hongshan Laboratory,Wuhan 430070,China [3]College of Horticulture,Northwest A&F University,Yangling 712100,China [4]Department of Horticulture,The University of Agriculture Peshawar,Peshawar 25130,Pakistan

出　　处：《Horticulture Research》2023年第4期23-37,共15页园艺研究（英文）

基　　金：supported by grants from the National Key Research&Development Plan(2022YFD1200502;2021YFD1200201);the National Natural Science Foundation of China(31972426;31991182);the Wuhan Biological Breeding Major Project(2022021302024852);the Key Project of Hubei Hongshan Laboratory(2021hszd007);the Hubei Key Research&Development Plan(2022BBA0062;2022BBA0066);the Fundamental Research Funds for the Central Universities(2662022YLPY001)and the International Cooperation Promotion Plan of Shihezi University(GJHZ202104)..

摘　　要：Malic acid(MA)is an important flavor acid in fruits and acts as a mediator in a series of metabolic pathways.It is important to understand the factors affecting MA metabolism for fruit flavor improvement and to understand MA-mediated biological processes.However,themetabolic accumulation of MA is controlled by complex heredity and environmental factors,making it difficult to predict and regulate the metabolism of MA.In this study,we carried out a genome-wide association study(GWAS)on MA using eight milestone models with two-environment repeats.A series of associated SNP variations were identified from the GWAS,and 15 high-confidence annotated geneswere further predicted based on linkage disequilibrium and lead SNPs.The transcriptome data of candidate geneswere explored within different tomato organs as well as various fruit tissues,and suggested specific expression patterns in fruit pericarp.Based on the genetic parameters of population differentiation and SNP distribution,tomato MA content has been more influenced by domestication sweeps and less affected by improvement sweeps in the long-term history of tomato breeding.In addition,genotype×environment interaction might contribute to the difference in domestication phenotypic data under different environments.This study provides new genetic insights into how tomato changed its MA content during breeding and makes available function-based markers for breeding by marker-assisted selection.

关 键 词：BREEDING GWAS METABOLISM 

分 类 号：S641.2[农业科学—蔬菜学]