Molecular Markers and Their Optimization: Addressing the Problems of Nonhomology Using Decapod COI Gene

Deepak Jose, M. Harikrishnan
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引用次数: 1

Abstract

Advancements in DNA sequencing and computational technologies influenced almost all areas of biological sciences. DNA barcoding technology employed for generating nucleotide sequences (DNA barcodes) from standard gene region(s) is capable of resolving the complexities caused due to morphological characters. Thus, they complement taxonomy, population analysis, and phylogenetic and evolutionary studies. DNA barcodes are also utilized for species identification from eggs, larvae, and commercial products. Sequence similarity search using Basic Local Alignment Search Tool (BLAST) is the most reliable and widely used strategy for characterizing newly generated sequences. Similarity searches identify “homologous” gene sequence(s) for query sequence(s) by statistical calculations and provide identity scores. However, DNA barcoding relies on diverse DNA regions which differ considerably among taxa. Even, region-specific variations within barcode sequences from a single gene leading to “nonhomology” have been reported. This causes complications in specimen identification, population analysis, phylogeny, evolution, and allied studies. Hence, the selection of appropriate barcode region(s) homologous to organism of interest is inevitable. Such complications could be avoided using standardized barcode regions sequenced using optimized primers. This chapter discusses about the potential problems encountered due to the unknown/unintentional/intentional use of nonhomologous barcode regions and the need for primer optimization.
分子标记及其优化:解决十足COI基因的非同源性问题
DNA测序和计算技术的进步几乎影响了生物科学的所有领域。DNA条形码技术用于从标准基因区域生成核苷酸序列(DNA条形码),能够解决由形态特征引起的复杂性。因此,它们补充了分类学、种群分析、系统发育和进化研究。DNA条形码也用于从卵、幼虫和商业产品中识别物种。基于BLAST (Basic Local Alignment search Tool)的序列相似性搜索是最可靠、应用最广泛的序列特征识别策略。相似性搜索通过统计计算确定查询序列的“同源”基因序列,并提供身份分数。然而,DNA条形码依赖于不同的DNA区域,这些区域在不同的分类群中差异很大。甚至,在条形码序列的区域特异性变异从单一基因导致“非同源性”已被报道。这导致标本鉴定、种群分析、系统发育、进化和相关研究的复杂性。因此,选择合适的与目标生物同源的条形码区域是不可避免的。使用优化的引物对标准化的条形码区域进行测序,可以避免这种并发症。本章讨论了由于未知/无意/有意使用非同源条形码区域而遇到的潜在问题以及引物优化的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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