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Genetic diversity and population structure of Uganda’s yam (Dioscorea spp.) genetic resource based on DArTseq

Assessing the genetic diversity of yam germplasm from different geographical origins for cultivation and breeding purposes is an essential step for crop genetic resource conservation and genetic improvement, especially where the crop faces minimal attention. This study aimed to classify the populati...

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Autores principales: Amponsah Adjei, Emmanuel, Esuma, Williams, Alicai, Titus, Bhattacharjee, Ranjana, Dramadri, Isaac Onziga, Edema, Richard, Chamba, Emmanuel Boache, Odong, Thomas Lapaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928066/
https://www.ncbi.nlm.nih.gov/pubmed/36787288
http://dx.doi.org/10.1371/journal.pone.0277537
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author Amponsah Adjei, Emmanuel
Esuma, Williams
Alicai, Titus
Bhattacharjee, Ranjana
Dramadri, Isaac Onziga
Edema, Richard
Chamba, Emmanuel Boache
Odong, Thomas Lapaka
author_facet Amponsah Adjei, Emmanuel
Esuma, Williams
Alicai, Titus
Bhattacharjee, Ranjana
Dramadri, Isaac Onziga
Edema, Richard
Chamba, Emmanuel Boache
Odong, Thomas Lapaka
author_sort Amponsah Adjei, Emmanuel
collection PubMed
description Assessing the genetic diversity of yam germplasm from different geographical origins for cultivation and breeding purposes is an essential step for crop genetic resource conservation and genetic improvement, especially where the crop faces minimal attention. This study aimed to classify the population structure, and assess the extent of genetic diversity in 207 Dioscorea rotundata genotypes sourced from three different geographical origins. A total of 4,957 (16.2%) single nucleotide polymorphism markers were used to assess genetic diversity. The SNP markers were informative, with polymorphic information content ranging from 0.238 to 0.288 and a mean of 0.260 across all the genotypes. The observed and expected heterozygosity was 0.12 and 0.23, respectively while the minor allele frequency ranged from 0.093 to 0.124 with a mean of 0.109. The principal coordinate analysis, model-based structure and discriminant analysis of principal components, and the Euclidean distance matrix method grouped 207 yam genotypes into three main clusters. Genotypes from West Africa (Ghana and Nigeria) had significant similarities with those from Uganda. Analysis of molecular variance revealed that within-population variation across three different geographical origins accounted for 93% of the observed variation. This study, therefore, showed that yam improvement in Uganda is possible, and the outcome will constitute a foundation for the genetic improvement of yams in Uganda.
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spelling pubmed-99280662023-02-15 Genetic diversity and population structure of Uganda’s yam (Dioscorea spp.) genetic resource based on DArTseq Amponsah Adjei, Emmanuel Esuma, Williams Alicai, Titus Bhattacharjee, Ranjana Dramadri, Isaac Onziga Edema, Richard Chamba, Emmanuel Boache Odong, Thomas Lapaka PLoS One Research Article Assessing the genetic diversity of yam germplasm from different geographical origins for cultivation and breeding purposes is an essential step for crop genetic resource conservation and genetic improvement, especially where the crop faces minimal attention. This study aimed to classify the population structure, and assess the extent of genetic diversity in 207 Dioscorea rotundata genotypes sourced from three different geographical origins. A total of 4,957 (16.2%) single nucleotide polymorphism markers were used to assess genetic diversity. The SNP markers were informative, with polymorphic information content ranging from 0.238 to 0.288 and a mean of 0.260 across all the genotypes. The observed and expected heterozygosity was 0.12 and 0.23, respectively while the minor allele frequency ranged from 0.093 to 0.124 with a mean of 0.109. The principal coordinate analysis, model-based structure and discriminant analysis of principal components, and the Euclidean distance matrix method grouped 207 yam genotypes into three main clusters. Genotypes from West Africa (Ghana and Nigeria) had significant similarities with those from Uganda. Analysis of molecular variance revealed that within-population variation across three different geographical origins accounted for 93% of the observed variation. This study, therefore, showed that yam improvement in Uganda is possible, and the outcome will constitute a foundation for the genetic improvement of yams in Uganda. Public Library of Science 2023-02-14 /pmc/articles/PMC9928066/ /pubmed/36787288 http://dx.doi.org/10.1371/journal.pone.0277537 Text en © 2023 Amponsah Adjei et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Amponsah Adjei, Emmanuel
Esuma, Williams
Alicai, Titus
Bhattacharjee, Ranjana
Dramadri, Isaac Onziga
Edema, Richard
Chamba, Emmanuel Boache
Odong, Thomas Lapaka
Genetic diversity and population structure of Uganda’s yam (Dioscorea spp.) genetic resource based on DArTseq
title Genetic diversity and population structure of Uganda’s yam (Dioscorea spp.) genetic resource based on DArTseq
title_full Genetic diversity and population structure of Uganda’s yam (Dioscorea spp.) genetic resource based on DArTseq
title_fullStr Genetic diversity and population structure of Uganda’s yam (Dioscorea spp.) genetic resource based on DArTseq
title_full_unstemmed Genetic diversity and population structure of Uganda’s yam (Dioscorea spp.) genetic resource based on DArTseq
title_short Genetic diversity and population structure of Uganda’s yam (Dioscorea spp.) genetic resource based on DArTseq
title_sort genetic diversity and population structure of uganda’s yam (dioscorea spp.) genetic resource based on dartseq
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928066/
https://www.ncbi.nlm.nih.gov/pubmed/36787288
http://dx.doi.org/10.1371/journal.pone.0277537
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