Genome-wide diversity and structure variation among lablab [Lablab purpureus (L.) Sweet] accessions and their implication in a Forage breeding program

• Published in: Genetic resources and crop evolution Vol. 68; no. 7; pp. 2997 - 3010
• Main Authors: Sserumaga, Julius Pyton, Kayondo, Siraj Ismail, Kigozi, Abasi, Kiggundu, Muhammad, Namazzi, Clementine, Walusimbi, Kato, Bugeza, James, Molly, Allen, Mugerwa, Swidiq
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01-10-2021; Springer Nature B.V
• Subjects: Agriculture; Biomedical and Life Sciences; Chromosomes; Clustering; Gene banks; Gene sequencing; Genetic distance; Genetic diversity; Genomes; Lablab purpureus; Life Sciences; Markers; Phylogenetics; Phylogeny; Plant breeding; Plant Genetics and Genomics; Plant Physiology; Plant populations; Plant Sciences; Plant Systematics/Taxonomy/Biogeography; Population genetics; Population structure; Populations; Research Article; Single-nucleotide polymorphism; Structural analysis; Variance analysis; Genetic differentiation; Genetic diversity; SNP; SilicoDart; Plant genetic resources
• ISSN: 0925-9864; 1573-5109
• DOI: 10.1007/s10722-021-01171-y

Most orphan crops have not been fully sequenced, hence we rely on genome sequences of related species to align markers to different chromosomes. This hinders their utilisation in plant population improvement programs. Utilising the advances in the science of sequencing technologies, the population structure, relatedness, and genetic diversity among accessions can be assessed quickly for better exploitation in forage breeding programs. Using DArTseq technology, we studied the genetic and structural variation in 65
Lablab purpureus
(L.) Sweet conserved gene-bank accessions using 9320 DArTseq-based SNPs and 15,719 SilicoDart markers. These markers had a low discriminating ability with mean polymorphic information content (P.I.C.) of 0.14 with DArTseq-based SNPs and 0.13 with SilicoDart markers. However, the markers had a high mean call rate of 73% with DArTseq-based SNPs and 97% with SilicoDart markers. Analysis of molecular variance revealed a high within populations variance (99.4%), indicating a high gene exchange or low genetic differentiation (PhiPT = 0.0057) among the populations. Structure analysis showed three allelic pools in variable clusters of ΔK = 3 and 6. Phylogenetic tree of lablab accessions showed three main groups with variable membership coefficients. Most pairs of accessions (40.3%) had genetic distances between 0.10 and 0.15 for SilicoDart markers, while for DArTseq-based SNPs, (46.5%) had genetic distances between 0.20 and 0.25. Phylogenetic clustering and minimum spanning analysis divided the 65 accessions into three groups, irrespective of their origin. For the first time, this study produced high-density markers with good genom coverage. The utilisation of these accessions in a forage program will base on the information from molecular-based grouping. The outcomes uncovered the presence of noteworthy measure of variety in Uganda, CIAT and ILRI accessions, thus demonstrating an opportunity for further marker-trait-association studies.