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SilicoDArT and SNP markers for genetic diversity and population structure analysis of Trema orientalis; a fodder species

Establishing the genetic diversity and population structure of a species can guide the selection of appropriate conservation and sustainable utilization strategies. Next-generation sequencing (NGS) approaches are increasingly being used to generate multi-locus data for genetic structure determinatio...

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Autores principales: Nantongo, Judith Ssali, Odoi, Juventine Boaz, Agaba, Hillary, Gwali, Samson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394841/
https://www.ncbi.nlm.nih.gov/pubmed/35994436
http://dx.doi.org/10.1371/journal.pone.0267464
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author Nantongo, Judith Ssali
Odoi, Juventine Boaz
Agaba, Hillary
Gwali, Samson
author_facet Nantongo, Judith Ssali
Odoi, Juventine Boaz
Agaba, Hillary
Gwali, Samson
author_sort Nantongo, Judith Ssali
collection PubMed
description Establishing the genetic diversity and population structure of a species can guide the selection of appropriate conservation and sustainable utilization strategies. Next-generation sequencing (NGS) approaches are increasingly being used to generate multi-locus data for genetic structure determination. This study presents the genetic structure of a fodder species -Trema orientalis based on two genome-wide high-throughput diversity array technology (DArT) markers; silicoDArT and single nucleotide polymorphisms (SNPs). Genotyping of 119 individuals generated 40,650 silicoDArT and 4767 SNP markers. Both marker types had a high average scoring reproducibility (>99%). Genetic relationships explored by principal coordinates analysis (PCoA) showed that the first principal coordinate axis explained most of the variation in both the SilicoDArT (34.2%) and SNP (89.6%) marker data. The average polymorphic information content did not highly differ between silicoDArT (0.22) and SNPs (0.17) suggesting minimal differences in informativeness in the two groups of markers. The, mean observed (H(o)) and expected (H(e)) heterozygosity were low and differed between the silicoDArT and SNPs respectively, estimated at H(o) = 0.08 and H(e) = 0.05 for silicoDArT and H(o) = 0.23 and H(e) = 0.19 for SNPs. The population of T. orientalis was moderately differentiated (F(ST)  =  0.20–0.53) and formed 2 distinct clusters based on maximum likelihood and principal coordinates analysis. Analysis of molecular variance revealed that clusters contributed more to the variation (46.3–60.8%) than individuals (32.9–31.2%). Overall, the results suggest a high relatedness of the individuals sampled and a threatened genetic potential of T. orientalis in the wild. Therefore, genetic management activities such as ex-situ germplasm management are required for the sustainability of the species. Ex-situ conservation efforts should involve core collection of individuals from different populations to capture efficient diversity. This study demonstrates the importance of silicoDArT and SNP makers in population structure and genetic diversity analysis of Trema orientalis, useful for future genome wide studies in the species.
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spelling pubmed-93948412022-08-23 SilicoDArT and SNP markers for genetic diversity and population structure analysis of Trema orientalis; a fodder species Nantongo, Judith Ssali Odoi, Juventine Boaz Agaba, Hillary Gwali, Samson PLoS One Research Article Establishing the genetic diversity and population structure of a species can guide the selection of appropriate conservation and sustainable utilization strategies. Next-generation sequencing (NGS) approaches are increasingly being used to generate multi-locus data for genetic structure determination. This study presents the genetic structure of a fodder species -Trema orientalis based on two genome-wide high-throughput diversity array technology (DArT) markers; silicoDArT and single nucleotide polymorphisms (SNPs). Genotyping of 119 individuals generated 40,650 silicoDArT and 4767 SNP markers. Both marker types had a high average scoring reproducibility (>99%). Genetic relationships explored by principal coordinates analysis (PCoA) showed that the first principal coordinate axis explained most of the variation in both the SilicoDArT (34.2%) and SNP (89.6%) marker data. The average polymorphic information content did not highly differ between silicoDArT (0.22) and SNPs (0.17) suggesting minimal differences in informativeness in the two groups of markers. The, mean observed (H(o)) and expected (H(e)) heterozygosity were low and differed between the silicoDArT and SNPs respectively, estimated at H(o) = 0.08 and H(e) = 0.05 for silicoDArT and H(o) = 0.23 and H(e) = 0.19 for SNPs. The population of T. orientalis was moderately differentiated (F(ST)  =  0.20–0.53) and formed 2 distinct clusters based on maximum likelihood and principal coordinates analysis. Analysis of molecular variance revealed that clusters contributed more to the variation (46.3–60.8%) than individuals (32.9–31.2%). Overall, the results suggest a high relatedness of the individuals sampled and a threatened genetic potential of T. orientalis in the wild. Therefore, genetic management activities such as ex-situ germplasm management are required for the sustainability of the species. Ex-situ conservation efforts should involve core collection of individuals from different populations to capture efficient diversity. This study demonstrates the importance of silicoDArT and SNP makers in population structure and genetic diversity analysis of Trema orientalis, useful for future genome wide studies in the species. Public Library of Science 2022-08-22 /pmc/articles/PMC9394841/ /pubmed/35994436 http://dx.doi.org/10.1371/journal.pone.0267464 Text en © 2022 Nantongo 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
Nantongo, Judith Ssali
Odoi, Juventine Boaz
Agaba, Hillary
Gwali, Samson
SilicoDArT and SNP markers for genetic diversity and population structure analysis of Trema orientalis; a fodder species
title SilicoDArT and SNP markers for genetic diversity and population structure analysis of Trema orientalis; a fodder species
title_full SilicoDArT and SNP markers for genetic diversity and population structure analysis of Trema orientalis; a fodder species
title_fullStr SilicoDArT and SNP markers for genetic diversity and population structure analysis of Trema orientalis; a fodder species
title_full_unstemmed SilicoDArT and SNP markers for genetic diversity and population structure analysis of Trema orientalis; a fodder species
title_short SilicoDArT and SNP markers for genetic diversity and population structure analysis of Trema orientalis; a fodder species
title_sort silicodart and snp markers for genetic diversity and population structure analysis of trema orientalis; a fodder species
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394841/
https://www.ncbi.nlm.nih.gov/pubmed/35994436
http://dx.doi.org/10.1371/journal.pone.0267464
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