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Zewodu A, Mohammed W, Shiferaw E. Analysis of genetic diversity and population structure of some Ethiopian barley (Hordeum vulgare L.) accessions using SSR markers. PLoS One 2024; 19:e0305945. [PMID: 38917122 PMCID: PMC11198791 DOI: 10.1371/journal.pone.0305945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 06/08/2024] [Indexed: 06/27/2024] Open
Abstract
Understanding the genetic diversity of existing genetic resources at the DNA level is an effective approach for germplasm conservation and utilization in breeding programs. However, the patterns of genetic diversity and population structure remain poorly characterized, making germplasm conservation and breeding efforts difficult to succeed. Thus, this study is aimed to evaluate the genetic diversity and population structure of 49 barley accessions collected from different geographic origins in Ethiopia. Twelve SSR markers were used to analyze all accessions and a total of 61 alleles were found, with a mean of 5.08 alleles per locus. The analysis pointed out the existence of moderate to high values of polymorphic information content ranging from 0.39 to 0.91 and the mean Shannon diversity index(I) was 1.25, indicating that they were highly informative markers. The highest Euclidean distance (1.32) was computed between accession 9950 and two accessions (247011 and 9949), while the lowest Euclidean distance (0.00) was estimated between accessions 243191 and 243192. The result of molecular variance analysis revealed that the highest variation was found among accessions (47) relative to within accessions (44) and among geographic origins (9). Cluster analysis grouped the 49 barley accessions into three major clusters regardless of their geographic origin which could be due to the presence of considerable gene flow (2.72). The result of the STRUCTURE analysis was consistent with neighbor-joining clustering and principal coordinate analysis. Generally, this study concluded that the variation among accessions was more important than the difference in geographical regions to develop an appropriate conservation strategy and for parental selection to use in breeding programs. This information will be helpful for barley conservation and breeding, and it may speed up the development of new competing barley varieties.
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Affiliation(s)
- Alemayehu Zewodu
- Department of Crop and Horticulture Biodiversity Research, Ethiopian Biodiversity Institute, Addis Ababa, Ethiopia
| | - Wassu Mohammed
- Department of Plant Science, Haramaya University, Haramaya, Ethiopia
| | - Eleni Shiferaw
- Department of Crop and Horticulture Biodiversity Research, Ethiopian Biodiversity Institute, Addis Ababa, Ethiopia
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Maanju S, Jasrotia P, Yadav SS, Kashyap PL, Kumar S, Jat MK, Lal C, Sharma P, Singh G, Singh GP. Deciphering the genetic diversity and population structure of wild barley germplasm against corn leaf aphid, Rhopalosiphum maidis (Fitch). Sci Rep 2023; 13:17313. [PMID: 37828115 PMCID: PMC10570286 DOI: 10.1038/s41598-023-42717-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/14/2023] [Indexed: 10/14/2023] Open
Abstract
Corn-leaf aphid (CLA-Rhopalosiphum maidis) is a major insect pest of barley (Hordeum vulgare) causing yield loss upto 30% under severe infestation. Keeping in view of the availability of very few sources of CLA resistance in barley, the present investigation was framed to assess the genetic diversity and population structure of 43 wild barley (H. vulgare subsp. spontaneum) genotypes using eight microsatellite markers against R. maidis. Three statistical methods viz. multivariate-hierarchical clustering, Bayesian clustering and PCoA, unanimously grouped genotypes into three subpopulations (K = 3) with 25.58% (SubPop1-Red), 39.53% (SubPop2-Green) and 34.88% (SubPop3-Blue) genotypes including admixtures. Based on Q ≥ 66.66%, 37.20% genotypes formed a superficial "Mixed/Admixture" subpopulation. All polymorphic SSR markers generated 36 alleles, averaging to 4.5 alleles/locus (2-7 range). The PIC and H were highest in MS31 and lowest in MS28, with averages of 0.66 and 0.71. MAF and mean genetic diversity were 0.16 and 89.28%, respectively. All these parameters indicated the presence of predominant genetic diversity and population structure amongst the studied genotypes. Based on AII, only 6 genotypes were found to be R. maidis resistant. SubPop3 had 91.66% (11) of the resistant or moderately resistant genotypes. SubPop3 also had the most pure genotypes (11), the least aphid infestation (8.78), and the highest GS (0.88), indicating its suitability for future R. maidis resistance breeding initiatives.
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Affiliation(s)
- Sunny Maanju
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
- CCS Haryana Agricultural University, Hisar, Haryana, 125004, India
| | - Poonam Jasrotia
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
| | | | - Prem Lal Kashyap
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - Sudheer Kumar
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - Manoj Kumar Jat
- CCS Haryana Agricultural University, Hisar, Haryana, 125004, India
| | - Chuni Lal
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - Preeti Sharma
- CCS Haryana Agricultural University, Hisar, Haryana, 125004, India
| | - Gyanendra Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
| | - Gyanendra Pratap Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110012, India
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Genetic diversity, population structure and relationship of Ethiopian barley (Hordeum vulgare L.) landraces as revealed by SSR markers. J Genet 2022. [DOI: 10.1007/s12041-021-01346-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Kashiani P, Saleh G, Panandam JM, Abdullah NAP, Selamat A. Demarcation of informative chromosomes in tropical sweet corn inbred lines using microsatellite DNA markers. Genet Mol Biol 2012; 35:614-21. [PMID: 23055801 PMCID: PMC3459412 DOI: 10.1590/s1415-47572012000400012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2012] [Accepted: 04/09/2012] [Indexed: 11/25/2022] Open
Abstract
A study of genetic variation among 10 pairs of chromosomes extracted from 13 tropical sweet corn inbred lines, using 99 microsatellite markers, revealed a wide range of genetic diversity. Allelic richness and the number of effective alleles per chromosome ranged from 2.78 to 4.33 and 1.96 to 3.47, respectively, with respective mean values of 3.62 and 2.73. According to the Shannon’s information index (I) and Nei’s gene diversity coefficient (Nei), Chromosome 10 was the most informative chromosome (I = 1.311 and Nei = 0.703), while Chromosome 2 possessed the least (I = 0.762 and Nei = 0.456). Based on linkage disequilibrium (LD) measurements for loci less than 50 cM apart on the same chromosome, all loci on Chromosomes 1, 6 and 7 were in equilibrium. Even so, there was a high proportion of genetic variation in Chromosomes 4, 5, 8, 9 and 10, thereby revealing their appropriateness for use in the genetic diversity investigations among tropical sweet corn lines. Chromosome 4, with the highest number of loci in linkage disequilibrium, was considered the best for marker-phenotype association and QTL mapping, followed by Chromosomes 5, 8, 9 and 10.
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Affiliation(s)
- Pedram Kashiani
- Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia, Selangor, Malaysia
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