Widya Pintaka Bayu Putra, Hartati Hartati, Redi Aditama, Eko Handiwirawan, Endang Tri Margawati, Simon Elieser
{"title":"使用 BovineSNP50K BeadChip 对松巴翁戈尔牛(Bos indicus)进行同源性分析和基因组近交估计。","authors":"Widya Pintaka Bayu Putra, Hartati Hartati, Redi Aditama, Eko Handiwirawan, Endang Tri Margawati, Simon Elieser","doi":"10.14202/vetworld.2024.1914-1919","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aim: </strong>Runs of homozygosity (ROH) is a biocomputational technique for identifying homozygous regions in the genomics of livestock. This study aimed to determine the ROH in Sumba Ongole (SO) bulls (n = 48) using the BovineSNP50K BeadChip.</p><p><strong>Materials and methods: </strong>GenomeStudio 2.0 software was used to generate the BovineSNP50K BeadChip output. The ROH and ROH-based inbreeding coefficients (F<sub>ROH</sub>) were determined using the detect RUNS R v4.1.0 package. Using the following filtering criteria, PLINK v1.90 software was used to perform genotype quality control: (1) Individuals and single-nucleotide polymorphism (SNPs) had call rates >0.95; (2) more than 0.05 was the minor allele frequency; (3) the list contained only SNPs linked to autosomes; and (4) SNPs that strongly deviated (p < 1e-6) from Hardy-Weinberg equilibrium were removed. Subsequently, 25,252 autosomal SNP markers were included in the ROH and F<sub>ROH</sub> analyses.</p><p><strong>Results: </strong>In general, the number and length of ROH segments in pool animals were 149.77 ± 16.02 Mb and 486.13 ± 156.11 Mb, respectively. Furthermore, the ROH segments in the animals under study can be discriminated into two classes of 1-4 Mb (83.33%) and 4-8 Mb (16.67%). Subsequently, <i>Bos taurus</i> autosomes (BTA) 1, BTA6, and BTA14 had significant homozygous segments comprising 13 genes. Despite this, the average F<sub>ROH</sub> in pool animals was 0.20 ± 0.06.</p><p><strong>Conclusion: </strong>These findings indicate that a recent inbreeding event in SO cattle occurred many generations ago. Furthermore, the candidate genes identified from the ROH analysis indicate phenotypic attributes associated with environmental adaptation and economic traits.</p>","PeriodicalId":23587,"journal":{"name":"Veterinary World","volume":"17 8","pages":"1914-1919"},"PeriodicalIF":1.7000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11422642/pdf/","citationCount":"0","resultStr":"{\"title\":\"Runs of homozygosity analysis and genomic inbreeding estimation in Sumba Ongole cattle (<i>Bos indicus</i>) using a BovineSNP50K BeadChip.\",\"authors\":\"Widya Pintaka Bayu Putra, Hartati Hartati, Redi Aditama, Eko Handiwirawan, Endang Tri Margawati, Simon Elieser\",\"doi\":\"10.14202/vetworld.2024.1914-1919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aim: </strong>Runs of homozygosity (ROH) is a biocomputational technique for identifying homozygous regions in the genomics of livestock. This study aimed to determine the ROH in Sumba Ongole (SO) bulls (n = 48) using the BovineSNP50K BeadChip.</p><p><strong>Materials and methods: </strong>GenomeStudio 2.0 software was used to generate the BovineSNP50K BeadChip output. The ROH and ROH-based inbreeding coefficients (F<sub>ROH</sub>) were determined using the detect RUNS R v4.1.0 package. Using the following filtering criteria, PLINK v1.90 software was used to perform genotype quality control: (1) Individuals and single-nucleotide polymorphism (SNPs) had call rates >0.95; (2) more than 0.05 was the minor allele frequency; (3) the list contained only SNPs linked to autosomes; and (4) SNPs that strongly deviated (p < 1e-6) from Hardy-Weinberg equilibrium were removed. Subsequently, 25,252 autosomal SNP markers were included in the ROH and F<sub>ROH</sub> analyses.</p><p><strong>Results: </strong>In general, the number and length of ROH segments in pool animals were 149.77 ± 16.02 Mb and 486.13 ± 156.11 Mb, respectively. Furthermore, the ROH segments in the animals under study can be discriminated into two classes of 1-4 Mb (83.33%) and 4-8 Mb (16.67%). Subsequently, <i>Bos taurus</i> autosomes (BTA) 1, BTA6, and BTA14 had significant homozygous segments comprising 13 genes. Despite this, the average F<sub>ROH</sub> in pool animals was 0.20 ± 0.06.</p><p><strong>Conclusion: </strong>These findings indicate that a recent inbreeding event in SO cattle occurred many generations ago. Furthermore, the candidate genes identified from the ROH analysis indicate phenotypic attributes associated with environmental adaptation and economic traits.</p>\",\"PeriodicalId\":23587,\"journal\":{\"name\":\"Veterinary World\",\"volume\":\"17 8\",\"pages\":\"1914-1919\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11422642/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Veterinary World\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14202/vetworld.2024.1914-1919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Veterinary World","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14202/vetworld.2024.1914-1919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/27 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
Runs of homozygosity analysis and genomic inbreeding estimation in Sumba Ongole cattle (Bos indicus) using a BovineSNP50K BeadChip.
Background and aim: Runs of homozygosity (ROH) is a biocomputational technique for identifying homozygous regions in the genomics of livestock. This study aimed to determine the ROH in Sumba Ongole (SO) bulls (n = 48) using the BovineSNP50K BeadChip.
Materials and methods: GenomeStudio 2.0 software was used to generate the BovineSNP50K BeadChip output. The ROH and ROH-based inbreeding coefficients (FROH) were determined using the detect RUNS R v4.1.0 package. Using the following filtering criteria, PLINK v1.90 software was used to perform genotype quality control: (1) Individuals and single-nucleotide polymorphism (SNPs) had call rates >0.95; (2) more than 0.05 was the minor allele frequency; (3) the list contained only SNPs linked to autosomes; and (4) SNPs that strongly deviated (p < 1e-6) from Hardy-Weinberg equilibrium were removed. Subsequently, 25,252 autosomal SNP markers were included in the ROH and FROH analyses.
Results: In general, the number and length of ROH segments in pool animals were 149.77 ± 16.02 Mb and 486.13 ± 156.11 Mb, respectively. Furthermore, the ROH segments in the animals under study can be discriminated into two classes of 1-4 Mb (83.33%) and 4-8 Mb (16.67%). Subsequently, Bos taurus autosomes (BTA) 1, BTA6, and BTA14 had significant homozygous segments comprising 13 genes. Despite this, the average FROH in pool animals was 0.20 ± 0.06.
Conclusion: These findings indicate that a recent inbreeding event in SO cattle occurred many generations ago. Furthermore, the candidate genes identified from the ROH analysis indicate phenotypic attributes associated with environmental adaptation and economic traits.
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