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Genome-wide genetic diversity and population structure of Garcinia kola (Heckel) in Benin using DArT-Seq technology

Garcinia kola (Heckel) is a versatile tree indigenous to West and Central Africa. All parts of the tree have value in traditional medicine. Natural populations of the species have declined over the years due to overexploitation. Assessment of genetic diversity and population structure of G. kola is...

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Autores principales: Dadjo, Colombe, Nyende, Aggrey B., Yao, Nasser, Kiplangat, Ngeno, Assogbadjo, Achille E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511007/
https://www.ncbi.nlm.nih.gov/pubmed/32966312
http://dx.doi.org/10.1371/journal.pone.0238984
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author Dadjo, Colombe
Nyende, Aggrey B.
Yao, Nasser
Kiplangat, Ngeno
Assogbadjo, Achille E.
author_facet Dadjo, Colombe
Nyende, Aggrey B.
Yao, Nasser
Kiplangat, Ngeno
Assogbadjo, Achille E.
author_sort Dadjo, Colombe
collection PubMed
description Garcinia kola (Heckel) is a versatile tree indigenous to West and Central Africa. All parts of the tree have value in traditional medicine. Natural populations of the species have declined over the years due to overexploitation. Assessment of genetic diversity and population structure of G. kola is important for its management and conservation. The present study investigates the genetic diversity and population structure of G. kola populations in Benin using ultra-high-throughput diversity array technology (DArT) single nucleotide polymorphism (SNP) markers. From the 102 accessions sampled, two were excluded from the final dataset owing to poor genotyping coverage. A total of 43,736 SNPs were reported, of which 12,585 were used for analyses after screening with quality control parameters including Minor allele frequency (≥ 0.05), call rate (≥ 80%), reproducibility (≥ 95%), and polymorphic information content (≥ 1%). Analysis revealed low genetic diversity with expected heterozygosity per population ranging from 0.196 to 0.228. Pairwise F-statistics (F(ST)) revealed low levels of genetic differentiation between populations while an Analysis of molecular variance (AMOVA) indicated that the majority of variation (97.86%) was within populations. Population structure analysis through clustering and discriminant analysis on principal component revealed two admixed clusters, implying little genetic structure. However, the model-based maximum likelihood in Admixture indicated only one genetic cluster. The present study indicated low genetic diversity of G. kola, and interventions are needed to be tailored towards its conservation.
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spelling pubmed-75110072020-10-01 Genome-wide genetic diversity and population structure of Garcinia kola (Heckel) in Benin using DArT-Seq technology Dadjo, Colombe Nyende, Aggrey B. Yao, Nasser Kiplangat, Ngeno Assogbadjo, Achille E. PLoS One Research Article Garcinia kola (Heckel) is a versatile tree indigenous to West and Central Africa. All parts of the tree have value in traditional medicine. Natural populations of the species have declined over the years due to overexploitation. Assessment of genetic diversity and population structure of G. kola is important for its management and conservation. The present study investigates the genetic diversity and population structure of G. kola populations in Benin using ultra-high-throughput diversity array technology (DArT) single nucleotide polymorphism (SNP) markers. From the 102 accessions sampled, two were excluded from the final dataset owing to poor genotyping coverage. A total of 43,736 SNPs were reported, of which 12,585 were used for analyses after screening with quality control parameters including Minor allele frequency (≥ 0.05), call rate (≥ 80%), reproducibility (≥ 95%), and polymorphic information content (≥ 1%). Analysis revealed low genetic diversity with expected heterozygosity per population ranging from 0.196 to 0.228. Pairwise F-statistics (F(ST)) revealed low levels of genetic differentiation between populations while an Analysis of molecular variance (AMOVA) indicated that the majority of variation (97.86%) was within populations. Population structure analysis through clustering and discriminant analysis on principal component revealed two admixed clusters, implying little genetic structure. However, the model-based maximum likelihood in Admixture indicated only one genetic cluster. The present study indicated low genetic diversity of G. kola, and interventions are needed to be tailored towards its conservation. Public Library of Science 2020-09-23 /pmc/articles/PMC7511007/ /pubmed/32966312 http://dx.doi.org/10.1371/journal.pone.0238984 Text en © 2020 Dadjo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Dadjo, Colombe
Nyende, Aggrey B.
Yao, Nasser
Kiplangat, Ngeno
Assogbadjo, Achille E.
Genome-wide genetic diversity and population structure of Garcinia kola (Heckel) in Benin using DArT-Seq technology
title Genome-wide genetic diversity and population structure of Garcinia kola (Heckel) in Benin using DArT-Seq technology
title_full Genome-wide genetic diversity and population structure of Garcinia kola (Heckel) in Benin using DArT-Seq technology
title_fullStr Genome-wide genetic diversity and population structure of Garcinia kola (Heckel) in Benin using DArT-Seq technology
title_full_unstemmed Genome-wide genetic diversity and population structure of Garcinia kola (Heckel) in Benin using DArT-Seq technology
title_short Genome-wide genetic diversity and population structure of Garcinia kola (Heckel) in Benin using DArT-Seq technology
title_sort genome-wide genetic diversity and population structure of garcinia kola (heckel) in benin using dart-seq technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511007/
https://www.ncbi.nlm.nih.gov/pubmed/32966312
http://dx.doi.org/10.1371/journal.pone.0238984
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