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通过下一代测序鉴定差异表达基因中的新型单核苷酸多态性及其与印度瘤牛公牛角癌的关联。

Identification of novel SNPs in differentially expressed genes and its association with horn cancer of Bos indicus bullocks by next-generation sequencing.

作者信息

Koringa P G, Jakhesara S J, Rank D N, Joshi C G

机构信息

Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, India.

出版信息

3 Biotech. 2016 Jun;6(1):38. doi: 10.1007/s13205-015-0351-0. Epub 2016 Jan 27.

Abstract

The use of polymorphic markers like SNPs promises to provide comprehensive tool for analysing genome and identifying genomic regions that contribute to cancer phenotype. Horn cancer is the most common cancer among Bos indicus animals. Increased expression of some genes due to polymorphisms increases risk of HC incidence. We successfully amplified 91 SNPs located in 69 genes in 52 samples, each of HC and HN. Equimolar concentration of amplicons from 69 PCR products of each sample was pooled and subjected to sequencing using Ion Torrent PGM. Data obtained were analysed using DNASTAR software package and case control analysis using SAS software. We found SNP present in BPIFA1 gene of B. indicus shows association with event of HC which reflects its potential to be a genetic marker. Bioinformatic analysis to detect structural and functional impact nsSNP of BPIFA1 added another layer of confirmation to our result. We successfully identified SNP associated with HC as well as demonstrated efficient approach for limited number of SNP discovery and validation in targeted genomics regions in large number of samples combining PCR amplification and Ion Torrent PGM sequencing which suits small-scale laboratories with limited budget.

摘要

使用单核苷酸多态性(SNP)等多态性标记有望为分析基因组和识别导致癌症表型的基因组区域提供全面的工具。角癌是印度瘤牛中最常见的癌症。由于多态性导致某些基因表达增加会增加患角癌的风险。我们成功地在52个样本(每个样本分别为角癌和非角癌样本)中扩增了位于69个基因中的91个SNP。将每个样本69个PCR产物的等摩尔浓度扩增子混合,并使用Ion Torrent PGM进行测序。使用DNASTAR软件包对获得的数据进行分析,并使用SAS软件进行病例对照分析。我们发现印度瘤牛BPIFA1基因中的SNP与角癌事件相关,这反映了其作为遗传标记的潜力。检测BPIFA1的错义单核苷酸多态性(nsSNP)的结构和功能影响的生物信息学分析为我们的结果增添了另一层确认。我们成功鉴定了与角癌相关的SNP,并展示了一种有效的方法,即在大量样本的靶向基因组区域中结合PCR扩增和Ion Torrent PGM测序进行有限数量的SNP发现和验证,这适合预算有限的小规模实验室。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d66e/4729760/7a3bfe983ab4/13205_2015_351_Fig1_HTML.jpg

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