Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] in Ethiopia as revealed by microsatellite markers
Ethiopia is the center of origin of sorghum (Sorghum bicolor L.). Understanding of the genetic diversity of the species is fundamental to design appropriate conservation and management strategies. The present study addressed the genetic diversity of sorghum accessions collected from major growing re...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2022-12-01
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Series: | Acta Agriculturae Scandinavica. Section B, Soil and Plant Science |
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Online Access: | http://dx.doi.org/10.1080/09064710.2022.2117078 |
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author | Bethlehem Nemera Mulugeta Kebede Muluken Enyew Tileye Feyissa |
author_facet | Bethlehem Nemera Mulugeta Kebede Muluken Enyew Tileye Feyissa |
author_sort | Bethlehem Nemera |
collection | DOAJ |
description | Ethiopia is the center of origin of sorghum (Sorghum bicolor L.). Understanding of the genetic diversity of the species is fundamental to design appropriate conservation and management strategies. The present study addressed the genetic diversity of sorghum accessions collected from major growing regions of Ethiopia. Eighty sorghum accessions representing five populations namely Amhara, Dire Dawa, Oromia, Southern Nations, Nationalities and Peoples (SNNP) and Tigray were analyzed with 11 simple sequence repeat (SSR) markers. Analysis of molecular variance (AMOVA) was conducted to evaluate genetic variation within and among populations. The unweighted neighbour-joining-based cluster analysis, principal components of analysis (PCoA) and structure analysis were done to elucidate clustering of populations. The polymorphic information contents (PIC) ranges from 0.50 to 0.86. A high within-populations genetic diversity was confirmed with gene diversity values ranging from 0.51 to 0.77. AMOVA revealed 93.26% of the total genetic variation within populations and 6.74% among populations. Cluster analyses did not show clear grouping of accessions according to their geographical origins, confirming gene flow (Nm = 6.65) among populations. In conclusion, the SSR markers used were polymorphic and highly informative Oromia and Amhara populations displayed genetic diversity greater than mean value of 0.67 suggesting possible target populations for breeding and conservation. |
first_indexed | 2024-03-12T00:28:14Z |
format | Article |
id | doaj.art-7d1f9870bb3f431697772411c167d5f6 |
institution | Directory Open Access Journal |
issn | 0906-4710 1651-1913 |
language | English |
last_indexed | 2024-03-12T00:28:14Z |
publishDate | 2022-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Acta Agriculturae Scandinavica. Section B, Soil and Plant Science |
spelling | doaj.art-7d1f9870bb3f431697772411c167d5f62023-09-15T10:26:28ZengTaylor & Francis GroupActa Agriculturae Scandinavica. Section B, Soil and Plant Science0906-47101651-19132022-12-0172187388410.1080/09064710.2022.21170782117078Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] in Ethiopia as revealed by microsatellite markersBethlehem Nemera0Mulugeta Kebede1Muluken Enyew2Tileye Feyissa3Adama Science and Technology UniversityAddis Ababa UniversityAddis Ababa UniversityAddis Ababa UniversityEthiopia is the center of origin of sorghum (Sorghum bicolor L.). Understanding of the genetic diversity of the species is fundamental to design appropriate conservation and management strategies. The present study addressed the genetic diversity of sorghum accessions collected from major growing regions of Ethiopia. Eighty sorghum accessions representing five populations namely Amhara, Dire Dawa, Oromia, Southern Nations, Nationalities and Peoples (SNNP) and Tigray were analyzed with 11 simple sequence repeat (SSR) markers. Analysis of molecular variance (AMOVA) was conducted to evaluate genetic variation within and among populations. The unweighted neighbour-joining-based cluster analysis, principal components of analysis (PCoA) and structure analysis were done to elucidate clustering of populations. The polymorphic information contents (PIC) ranges from 0.50 to 0.86. A high within-populations genetic diversity was confirmed with gene diversity values ranging from 0.51 to 0.77. AMOVA revealed 93.26% of the total genetic variation within populations and 6.74% among populations. Cluster analyses did not show clear grouping of accessions according to their geographical origins, confirming gene flow (Nm = 6.65) among populations. In conclusion, the SSR markers used were polymorphic and highly informative Oromia and Amhara populations displayed genetic diversity greater than mean value of 0.67 suggesting possible target populations for breeding and conservation.http://dx.doi.org/10.1080/09064710.2022.2117078amovafstgene flowpopgenepopulation admixture |
spellingShingle | Bethlehem Nemera Mulugeta Kebede Muluken Enyew Tileye Feyissa Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] in Ethiopia as revealed by microsatellite markers Acta Agriculturae Scandinavica. Section B, Soil and Plant Science amova fst gene flow popgene population admixture |
title | Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] in Ethiopia as revealed by microsatellite markers |
title_full | Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] in Ethiopia as revealed by microsatellite markers |
title_fullStr | Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] in Ethiopia as revealed by microsatellite markers |
title_full_unstemmed | Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] in Ethiopia as revealed by microsatellite markers |
title_short | Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] in Ethiopia as revealed by microsatellite markers |
title_sort | genetic diversity and population structure of sorghum sorghum bicolor l moench in ethiopia as revealed by microsatellite markers |
topic | amova fst gene flow popgene population admixture |
url | http://dx.doi.org/10.1080/09064710.2022.2117078 |
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