{"title":"Genome-wide association mapping and genomic predictions for Bacterial fruit blotch resistance in the USDA <i>Citrullus amarus</i> collection.","authors":"Venkata Rao Ganaparthi, Patrick Wechter, Melanie Katawczik, Amnon Levi, Sandra Branham","doi":"10.1094/PDIS-12-24-2665-RE","DOIUrl":null,"url":null,"abstract":"<p><p>Acidovorax citrulli infects seedlings, adult plants and fruits, causing bacterial fruit blotch (BFB) in watermelon. Host resistance would provide an effective and economical management option for BFB but there are currently no resistant watermelon cultivars. Several resistant accessions were previously identified in the USDA Citrullus amarus collection. Identifying the genetic basis of this resistance would allow the development of BFB-resistant cultivars through introgression from this crop wild relative. Genome-wide association studies (GWAS) are an excellent tool for dissecting the genetic architecture of a trait. The USDA Citrullus amarus collection (N=127 accessions) was genotyped with whole genome resequencing, resulting in 2,126,759 SNP markers, then phenotyped for BFB-resistance and used for GWAS of seedling resistance to A. citrulli. Four models were used for GWAS in R with the GAPIT package. MLM and MLMM analysis did not identify any significant marker associations. FarmCPU identified three quantitative trait nucleotides (QTN) on chromosomes 2, 4, and 8. BLINK identified only one significant QTN on chromosome 8. The three significant QTNs explained 65.1% of the phenotypic variance using a linear regression model. Putative candidate genes within the linkage disequilibrium blocks of significant SNPs code proteins relevant to biotic resistance, such as Patellin-6, macrophage migration inhibitory factor homolog, PRA1 family protein and trichome birefringence-like family proteins. The predictive ability of six genomic prediction models for A. citrulli seedling resistance ranged from 0.45 to 0.75. Along with identifying genomic regions associated with BFB seedling resistance, this study observed moderate to high predictive abilities across genomic prediction models.</p>","PeriodicalId":20063,"journal":{"name":"Plant disease","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant disease","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1094/PDIS-12-24-2665-RE","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Acidovorax citrulli infects seedlings, adult plants and fruits, causing bacterial fruit blotch (BFB) in watermelon. Host resistance would provide an effective and economical management option for BFB but there are currently no resistant watermelon cultivars. Several resistant accessions were previously identified in the USDA Citrullus amarus collection. Identifying the genetic basis of this resistance would allow the development of BFB-resistant cultivars through introgression from this crop wild relative. Genome-wide association studies (GWAS) are an excellent tool for dissecting the genetic architecture of a trait. The USDA Citrullus amarus collection (N=127 accessions) was genotyped with whole genome resequencing, resulting in 2,126,759 SNP markers, then phenotyped for BFB-resistance and used for GWAS of seedling resistance to A. citrulli. Four models were used for GWAS in R with the GAPIT package. MLM and MLMM analysis did not identify any significant marker associations. FarmCPU identified three quantitative trait nucleotides (QTN) on chromosomes 2, 4, and 8. BLINK identified only one significant QTN on chromosome 8. The three significant QTNs explained 65.1% of the phenotypic variance using a linear regression model. Putative candidate genes within the linkage disequilibrium blocks of significant SNPs code proteins relevant to biotic resistance, such as Patellin-6, macrophage migration inhibitory factor homolog, PRA1 family protein and trichome birefringence-like family proteins. The predictive ability of six genomic prediction models for A. citrulli seedling resistance ranged from 0.45 to 0.75. Along with identifying genomic regions associated with BFB seedling resistance, this study observed moderate to high predictive abilities across genomic prediction models.
期刊介绍:
Plant Disease is the leading international journal for rapid reporting of research on new, emerging, and established plant diseases. The journal publishes papers that describe basic and applied research focusing on practical aspects of disease diagnosis, development, and management.