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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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. |
format | Online Article Text |
id | pubmed-9928066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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