Forensic Characterization, Genomic Variability and Ancestry Analysis of Six Populations from Odisha Using mtDNA SNPs and Autosomal STRs.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jaison Jeevan Sequeira, Muktikanta Panda, Shivani Dixit, Ramkishan Kumawat, Mohammed S Mustak, Awdhesh Narayan Sharma, Gyaneshwer Chaubey, Pankaj Shrivastava
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引用次数: 0

Abstract

Located on India's eastern coast, Odisha is known for its diverse tribes and castes. In the early days of genome sequencing technology, researchers primarily studied the Austroasiatic communities inhabiting this region to reconstruct the ancient origins and dispersal of this broad linguistic group. However, current research has shifted towards identifying population and individual-specific genome variation for forensic applications. This study aims to analyze the forensic efficiency and ancestry of six populations from Odisha. We assessed the SF mtDNA-SNP60™ PCR Amplification Kit by comparing it with PowerPlex® Fusion 6C System, a widely used autosomal STR (aSTR) kit, in an Indian cohort. Although the mtDNA SNP kit showed low discriminating power for individuals of a diverse population, it could identify deep lineage divergence. Also, we utilized mitochondrial and autosomal variation information to analyze the ancestry of six endogamous ethnic groups in Odisha. We observe two extremities-populations with higher West Asian affinity and those with East Asian affinity. This observation is in congruence with the existing information of their tribal and non-tribal affiliation. When compared with neighbouring populations from Central and Eastern India, multivariate analysis showed that the Brahmins clustered separately or with the Gopala, Kaibarta appeared as an intermediate, Pana and Kandha clustered with the Gonds, and Savara with the Munda tribes. Our findings indicate significant deep lineage stratification in the ethnic populations of Odisha and a gene flow from West and East Asia. The artefacts of unique deep lineage in such a diverse population will help in improving forensic identification. In addition, we conclude that the SF mtDNA-SNP60 PCR Amplification Kit may be used only as a supplementary tool for forensic analysis.

Abstract Image

利用 mtDNA SNPs 和常染色体 STRs 对奥迪沙邦的六个人群进行法医特征描述、基因组变异性和祖先分析。
奥迪沙位于印度东部沿海,以其多样化的部落和种姓而闻名。在基因组测序技术发展初期,研究人员主要研究居住在这一地区的奥斯特罗西亚语族群,以重建这一广泛语言群体的古老起源和散布情况。不过,目前的研究已转向为法医应用鉴定特定人群和个体的基因组变异。本研究旨在分析奥迪沙邦六个人群的法医效率和祖先。我们将 SF mtDNA-SNP60™ PCR 扩增试剂盒与在印度队列中广泛使用的常染色体 STR(aSTR)试剂盒 PowerPlex® Fusion 6C System 进行了比较,从而对 SF mtDNA-SNP60™ PCR 扩增试剂盒进行了评估。虽然 mtDNA SNP 试剂盒对不同人群个体的鉴别力较低,但它可以识别深层的血统分化。此外,我们还利用线粒体和常染色体变异信息分析了奥迪沙邦六个内婚族群的祖先。我们观察到两个极端--西亚亲缘关系较高的人群和东亚亲缘关系较高的人群。这一观察结果与现有的部落和非部落隶属信息相吻合。在与印度中部和东部的邻近人群进行比较时,多元分析显示,婆罗门单独或与戈帕拉人聚居在一起,凯巴塔人处于中间地位,帕纳和坎达与贡德人聚居在一起,萨瓦拉与蒙达部落聚居在一起。我们的研究结果表明,在奥迪沙的民族人群中存在着明显的深层世系分层,以及来自西亚和东亚的基因流。在这样一个多样化的人群中,独特的深层世系文物将有助于改进法医鉴定。此外,我们还得出结论,SF mtDNA-SNP60 PCR 扩增试剂盒只能作为法医分析的辅助工具。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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