Genetic diversity, disease resistance, and environmental adaptation of Arachis duranensis L.: New insights from landscape genomics

• Published in: PloS one Vol. 19; no. 4; p. e0299992
• Main Authors: Massa, Alicia N, Sobolev, Victor S, Faustinelli, Paola C, Tallury, Shyamalrau P, Stalker, H Thomas, Lamb, Marshall C, Arias, Renee S
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 16.04.2024; Public Library of Science (PLoS)
• Subjects: Analysis; Arachis - genetics; Biological diversity; Biology and Life Sciences; Disease Resistance - genetics; Diseases and pests; Droughts; Environmental aspects; Genetic aspects; Genome, Plant; Genomics; Growth; Peanuts; Plant Breeding; Polymorphism, Single Nucleotide; Research and Analysis Methods; Single nucleotide polymorphisms; United States; United States
• DOI: 10.1371/journal.pone.0299992
• ISSN: 1932-6203

The genetic diversity that exists in natural populations of Arachis duranensis, the wild diploid donor of the A subgenome of cultivated tetraploid peanut, has the potential to improve crop adaptability, resilience to major pests and diseases, and drought tolerance. Despite its potential value for peanut improvement, limited research has been focused on the association between allelic variation, environmental factors, and response to early (ELS) and late leaf spot (LLS) diseases. The present study implemented a landscape genomics approach to gain a better understanding of the genetic variability of A. duranensis represented in the ex-situ peanut germplasm collection maintained at the U.S. Department of Agriculture, which spans the entire geographic range of the species in its center of origin in South America. A set of 2810 single nucleotide polymorphism (SNP) markers allowed a high-resolution genome-wide characterization of natural populations. The analysis of population structure showed a complex pattern of genetic diversity with five putative groups. The incorporation of bioclimatic variables for genotype-environment associations, using the latent factor mixed model (LFMM2) method, provided insights into the genomic signatures of environmental adaptation, and led to the identification of SNP loci whose allele frequencies were correlated with elevation, temperature, and precipitation-related variables (q < 0.05). The LFMM2 analysis for ELS and LLS detected candidate SNPs and genomic regions on chromosomes A02, A03, A04, A06, and A08. These findings highlight the importance of the application of landscape genomics in ex situ collections of peanut and other crop wild relatives to effectively identify favorable alleles and germplasm for incorporation into breeding programs. We report new sources of A. duranensis germplasm harboring adaptive allelic variation, which have the potential to be utilized in introgression breeding for a single or multiple environmental factors, as well as for resistance to leaf spot diseases.