Genetic Diversity and Population Structure of Selected Ethiopian Indigenous Cattle Breeds Using Microsatellite Markers.

IF 1.4 4区生物学 Q4 GENETICS & HEREDITY

Genetics research Pub Date : 2023-01-14 eCollection Date: 2023-01-01 DOI:10.1155/2023/1106755

Shelema Kelbessa Bora, Tesfaye Sisay Tessema, Gebrerufael Girmay

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Abstract

Background: In Ethiopia, livestock contributes 45% of agricultural GDP. Despite the economic role played by the sector, there have been little efforts to genetically improve the indigenous cattle. Morphological characterization of selected Ethiopian indigenous cattle has been made for (Bonga, Jimma, and Kerayu) cattle types. But, the selected indigenous cattle were not characterized at molecular level (genetic diversity information). Hence, this work was initiated to detect and determine the genetic diversity and population structure of selected Ethiopian indigenous cattle ecotypes using microsatellite markers.

Results: Different alleles were identified (131) and thirty-three of these alleles were unique to specific ecotypes. All loci used were informative with PIC values ranging from 0.5 (TGLA126) to 0.84 (ETH10) with a mean of 0.70 per locus. The Shannon information index ranged from (I = 1.02) ILST006 to (I = 1.63) ETH10 with an average of 1.28 revealing there is genetic diversity. Moreover, analysis of molecular variance (AMOVA) revealed 84% genetic variation within a population and 13% variation among populations. The value of F-statistics (Fst) (0.129 = 13%) indicated that there was moderate genetic differentiation among ecotypes. The (UPGMA) revealed, Bonga and Jimma clustered together while Kerayu cattle were relatively distinct, Principal coordinates analysis (PCOA) and structure analysis grouped the individual into different clusters confirming the presence of ecotype admixture due to geographical origins and uncontrolled mating.

Conclusion: In general, this study has successfully characterized the genetic diversity and population structure of Bonga, Jimma, and Kerayu cattle ecotypes using high polymorphic/informative microsatellite markers. According to this study, Kerayu cattle have high AR and PA when compared to Bonga and Jimma cattle populations. So, the Kerayu population is more diverse than others and it is the hotspot for genetic diversity study. The generated information is very relevant for breeder and genetic conservation.

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利用微卫星标记研究埃塞俄比亚本土牛种的遗传多样性和种群结构。

背景：在埃塞俄比亚，畜牧业占农业国内生产总值的 45%。尽管畜牧业发挥着重要的经济作用，但埃塞俄比亚却很少对本土牛进行基因改良。已对选定的埃塞俄比亚本地牛（邦加牛、吉马牛和凯拉尤牛）类型进行了形态特征描述。但是，所选土牛并没有在分子水平（遗传多样性信息）上进行特征描述。因此，启动了这项工作，利用微卫星标记检测和确定所选埃塞俄比亚土牛生态型的遗传多样性和种群结构：结果：确定了不同的等位基因（131 个），其中 33 个等位基因为特定生态型所独有。所有使用的位点都具有信息量，PIC 值从 0.5（TGLA126）到 0.84（ETH10）不等，每个位点的平均值为 0.70。香农信息指数范围从（I = 1.02）ILST006 到（I = 1.63）ETH10，平均为 1.28，表明存在遗传多样性。此外，分子方差分析（AMOVA）显示，种群内的遗传变异率为 84%，种群间的遗传变异率为 13%。F 统计量（Fst）值（0.129 = 13%）表明，生态型之间存在中度遗传差异。主坐标分析（PCOA）和结构分析将个体分为不同的群，证实了由于地理起源和非控制交配造成的生态型混杂：总之，这项研究利用高多态性/信息量大的微卫星标记，成功地描述了邦加牛、吉马牛和凯拉尤牛生态型的遗传多样性和种群结构。根据这项研究，与 Bonga 和 Jimma 牛群相比，Kerayu 牛群具有较高的 AR 和 PA。因此，Kerayu 牛群比其他牛群更具多样性，是遗传多样性研究的热点。所生成的信息对育种和基因保护非常有意义。

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来源期刊

Genetics research 生物-遗传学

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.