| dc.contributor.author | Ambachew, D. |
| dc.contributor.author | Londono, J.M. |
| dc.contributor.author | Castillo, N.R. |
| dc.contributor.author | Asfaw, A. |
| dc.contributor.author | Blair, M.W. |
| dc.date.accessioned | 2024-09-30T15:15:59Z |
| dc.date.available | 2024-09-30T15:15:59Z |
| dc.date.issued | 2024-05-08 |
| dc.identifier.citation | Ambachew, D., Londoño, J.M., Castillo, N.R., Asfaw, A. & Blair, M.W. (2024). Genetic diversity, linkage disequilibrium, and population structure in a common bean reference collection. Agronomy, 14(5): 985, 1-12. |
| dc.identifier.issn | 2073-4395 |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/8563 |
| dc.description.abstract | An in-depth understanding of the extent and pattern of genetic diversity and population structure in crop populations is of paramount importance for any crop improvement program to efficiently promote the translation of genetic diversity into genetic gain. A reference collection of 150 common bean genotypes selected from the International Center for Tropical Agriculture’s global core collection was evaluated using single-nucleotide polymorphism (SNP) markers to quantify the amount of genetic diversity, linkage disequilibrium, and population structure. The cultivars and landraces of the collection were diverse and originated from 14 countries, and wild accessions were used as controls for each gene pool. The collection was genotyped using an SNP array, generating a total of 5398 locus calls distributed across the entire bean genome. The SNP data quality was checked, and two datasets were generated. The first dataset (Dataset_1) comprised a set of 5108 SNPs and 150 genotypes after filtering for 10% missing alleles and an MAF < 0.05. The second dataset (Dataset_2) comprised a set of 2300 SNPs that remained after removing any null-allele SNPs and LD pruning for a criterion of r2 < 0.2. Dataset_1 was used for a principal coordinate analysis (PCoA), phylogenetic relationship determination, an analysis of molecular variance (AMOVA), and a discriminant analysis of principal components. Dataset_2 was used for a population structure analysis using STRUCTURE software and is proposed for a genome-wide association study (GWAS). The population structure analysis split the reference collection into two subpopulations according to an Andean or Mesoamerican gene pool. The Mesoamerican populations displayed higher genetic differentiation and tended to split into more groups that were somewhat aligned with common bean races. Andean beans were characterized by a larger average LD but lower LD percentage, a small average genetic distance between members of the population, and a higher major allele frequency, which suggested narrower genetic diversity compared to the Mesoamerican gene pool. In conclusion, the results indicated the presence of high genetic diversity, which is useful for a GWAS. However, the presence of significant linkage disequilibrium requires that genetic distance be considered as a co-factor for any further genetic studies. Overall, the molecular variation observed in the genotypes shows that this reference collection is valuable as a genebank-derived diversity panel which is useful for marker trait association studies. |
| dc.description.sponsorship | Evans Allen Fund of the National Institute of Food and Agriculture |
| dc.description.sponsorship | Bill & Melinda Gates Foundation |
| dc.format.extent | 1-12 |
| dc.language.iso | en |
| dc.subject | Common Beans |
| dc.subject | Grain Legumes |
| dc.subject | Genetic Diversity |
| dc.subject | Dna |
| dc.title | Genetic diversity, linkage disequilibrium, and population structure in a common bean reference collection |
| dc.type | Journal Article |
| cg.contributor.crp | Grain Legumes |
| cg.contributor.affiliation | Tennessee State University |
| cg.contributor.affiliation | Universidad de Quindío |
| cg.contributor.affiliation | Universidad del Valle |
| cg.contributor.affiliation | International Institute of Tropical Agriculture |
| cg.coverage.region | ACP |
| cg.coverage.region | South America |
| cg.coverage.country | Colombia |
| cg.coverage.hub | Headquarters and Western Africa Hub |
| cg.researchtheme | Biotech and Plant Breeding |
| cg.identifier.bibtexciteid | AMBACHEW:2024 |
| cg.isijournal | ISI Journal |
| cg.authorship.types | CGIAR and developing country institute |
| cg.iitasubject | Agronomy |
| cg.iitasubject | Food Security |
| cg.iitasubject | Genetic Improvement |
| cg.iitasubject | Grain Legumes |
| cg.iitasubject | Plant Breeding |
| cg.iitasubject | Plant Production |
| cg.journal | Agronomy |
| cg.notes | Open Access Journal |
| cg.accessibilitystatus | Open Access |
| cg.reviewstatus | Peer Review |
| cg.usagerightslicense | Creative Commons Attribution 4.0 (CC BY 0.0) |
| cg.targetaudience | Scientists |
| cg.identifier.doi | https://doi.org/10.3390/agronomy14050985 |
| cg.iitaauthor.identifier | Asrat Asfaw: 0000-0002-4859-0631 |
| cg.futureupdate.required | No |
| cg.identifier.issue | 5: 985 |
| cg.identifier.volume | 14 |
