Gebru Equar Gebremichael, YemaneTsehaye Bayratsion, Fetien Abay Abera, Yemane G. Egziabher, Desta Berhe Sbhatu, Kassahun Tesfaye, Tilahun Mekonnen, Genet Atsbeha
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Primer UBC-880 (where UBC is University of British Columbia) produced the most bands (1298), while UBC-841 generated the highest number of polymorphic bands (421), indicating its effectiveness in detecting genetic diversity. Genetic analysis showed that 84% of variation occurred within populations, with only 16% between them, suggesting greater diversity among individuals of the same population. Factors like gene flow, mutation, and natural selection may contribute to this internal variability. The highest Nei's genetic distance (0.468) was observed between populations SET and R, suggesting strong differentiation, while the lowest (0.06) was between NW and SET, indicating close genetic similarity. Principal coordinate analysis (PCoA) revealed that the ST population was distributed across all three clusters, reflecting genetic similarities with other populations. Four genetically distinct clusters were identified using UPGMA clustering. South Tigray showed the greatest genetic variability. Despite its unique traits and historical importance, the genetic variability of <i>P. sativum</i> var. <i>abyssinicum</i> remains underexplored. This study provides essential insights for breeding and conservation, supporting the use of ISSR markers to guide genetic improvement and preservation strategies.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 3","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70151","citationCount":"0","resultStr":"{\"title\":\"Genetic diversity and population structure analysis of Pisum sativum var. abyssinicum genotypes from Northern Ethiopia using ISSR markers\",\"authors\":\"Gebru Equar Gebremichael, YemaneTsehaye Bayratsion, Fetien Abay Abera, Yemane G. 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引用次数: 0
摘要
Pisum sativum var. abyssinicum是全球重要的豆科作物,其遗传多样性对作物改良、农业可持续发展和生物多样性保护至关重要。利用ISSR (inter simple sequence repeat,简单序列重复)技术,研究了来自埃塞俄比亚北部的P. sativum var. abyssinicum基因型的遗传变异和群体结构。利用12条ISSR引物对5个地理种群的120个基因型进行了分析。可评分条带范围为443 ~ 1298个,平均每个引物有815.75个条带。引物UBC-880 (UBC代表不列颠哥伦比亚大学)产生的条带最多(1298条),而引物UBC-841产生的多态性条带最多(421条),表明其在检测遗传多样性方面的有效性。遗传分析表明,84%的变异发生在种群内,只有16%的变异发生在种群之间,这表明同一种群的个体之间存在更大的多样性。基因流动、突变和自然选择等因素可能导致这种内部变异。群体间Nei’s遗传距离最高,为0.468,表明群体间分化程度较强;群体间Nei’s遗传距离最低,为0.06,表明群体间遗传相似性较近。主坐标分析(PCoA)显示,ST居群分布在所有三个聚类中,反映了与其他居群的遗传相似性。使用UPGMA聚类鉴定了四个遗传上不同的聚类。南提格雷表现出最大的遗传变异。尽管具有独特的性状和重要的历史意义,但阿比西尼亚葡萄品种的遗传变异性仍未得到充分的研究。该研究为育种和保护提供了重要的见解,支持利用ISSR标记指导遗传改良和保护策略。
Genetic diversity and population structure analysis of Pisum sativum var. abyssinicum genotypes from Northern Ethiopia using ISSR markers
Pisum sativum var. abyssinicum is a globally important legume crop, and its genetic diversity is vital for crop improvement, sustainable agriculture, and biodiversity conservation. This study investigated the genetic variability and population structure of P. sativum var. abyssinicum genotypes from Northern Ethiopia using inter simple sequence repeat (ISSR) markers. A total of 120 genotypes from five geographically based populations were analyzed using 12 ISSR primers. Scorable bands ranged from 443 to 1298, with an average of 815.75 per primer. Primer UBC-880 (where UBC is University of British Columbia) produced the most bands (1298), while UBC-841 generated the highest number of polymorphic bands (421), indicating its effectiveness in detecting genetic diversity. Genetic analysis showed that 84% of variation occurred within populations, with only 16% between them, suggesting greater diversity among individuals of the same population. Factors like gene flow, mutation, and natural selection may contribute to this internal variability. The highest Nei's genetic distance (0.468) was observed between populations SET and R, suggesting strong differentiation, while the lowest (0.06) was between NW and SET, indicating close genetic similarity. Principal coordinate analysis (PCoA) revealed that the ST population was distributed across all three clusters, reflecting genetic similarities with other populations. Four genetically distinct clusters were identified using UPGMA clustering. South Tigray showed the greatest genetic variability. Despite its unique traits and historical importance, the genetic variability of P. sativum var. abyssinicum remains underexplored. This study provides essential insights for breeding and conservation, supporting the use of ISSR markers to guide genetic improvement and preservation strategies.