Merging genotyping-by-sequencing data from two ex situ collections provides insights on the pea evolutionary history. Issue 1 (19th January 2022)

• Record Type: Journal Article
• Authors: Pavan, Stefano; Delvento, Chiara; Nazzicari, Nelson; Ferrari, Barbara; D'Agostino, Nunzio; Taranto, Francesca; Lotti, Concetta; Ricciardi, Luigi; Annicchiarico, Paolo
• Is Part Of: Horticulture research. Volume 9:Issue 1(2022)
• Publication Date: 2022-01-19
• Subjects: Horticulture -- Research -- Periodicals; 635.072
• DOI: 10.1093/hr/uhab062
• Languages: English
• ISSNs: 2052-7276

Abstract

Abstract: Pea ( Pisum sativum L. subsp. sativum ) is one of the oldest domesticated species and a widely cultivated legume. In this study, we combined next generation sequencing (NGS) data referring to two genotyping-by-sequencing (GBS) libraries, each one prepared from a different Pisum germplasm collection. The selection of single nucleotide polymorphism (SNP) loci called in both germplasm collections caused some loss of information; however, this did not prevent the obtainment of one of the largest datasets ever used to explore pea biodiversity, consisting of 652 accessions and 22 127 markers. The analysis of population structure reflected genetic variation based on geographic patterns and allowed the definition of a model for the expansion of pea cultivation from the domestication centre to other regions of the world. In genetically distinct populations, the average decay of linkage disequilibrium (LD) ranged from a few bases to hundreds of kilobases, thus indicating different evolutionary histories leading to their diversification. Genome-wide scans resulted in the identification of putative selective sweeps associated with domestication and breeding, including genes known to regulate shoot branching, cotyledon colour and resistance to lodging, and the correct mapping of two Mendelian genes. In addition to providing information of major interest for fundamental and applied research on pea, our work describes the first successful example of integration of different GBS datasets generated from ex situ collections – a process of potential interest for a variety of purposes, including conservation genetics, genome-wide association studies, and breeding.