Robust discrimination between closely related species of salmon based on DNA fragments.

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS Analytical and Bioanalytical Chemistry Pub Date : 2025-01-18 DOI:10.1007/s00216-024-05724-9
Debra Ellisor, Mary Gregg, Angela Folz, Antonio Possolo
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Abstract

Closely related species of Salmonidae, including Pacific and Atlantic salmon, can be distinguished from one another based on nucleotide sequences from the cytochrome c oxidase sub-unit 1 mitochondrial gene (COI), using ensembles of fragments aligned to genetic barcodes that serve as digital proxies for the relevant species. This is accomplished by exploiting both the nucleotide sequences and their quality scores recorded in a FASTQ file obtained via Next Generation (NextGen) Sequencing of mitochondrial DNA extracted from Coho salmon caught with hook and line in the Gulf of Alaska. The alignment is done using MUSCLE (Muscle 5.2) (Edgar in Nat Commun 13:6968, 2022), applied to multiple versions of each fragment perturbed according to the nucleobase identification error probabilities underlying the quality scores. The Damerau-Levenshtein distance was used to determine the genetic barcode of the candidate species that is closest to each aligned, perturbed fragment. The "votes" that the sampled fragments cast for the different candidate species are then pooled and converted into identification probabilities, using weights determined by the entropy of the fragment-specific identification probability distributions. This novel approach to quantify the uncertainty associated with measurements made using NextGen Sequencing can be applied to discriminate closely related species, hence to value-assignment for reference materials supporting determinations of the authenticity of seafood, for example, NIST Reference Materials 8256 and 8257 (Coho salmon) (Ellisor et al., 2021).

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基于DNA片段的密切相关的鲑鱼物种之间的强大区分。
密切相关的鲑鱼科物种,包括太平洋和大西洋鲑鱼,可以根据细胞色素c氧化酶亚基1线粒体基因(COI)的核苷酸序列,使用与遗传条形码相一致的片段集合作为相关物种的数字代理来区分彼此。这是通过利用从阿拉斯加湾用钩和线捕获的Coho鲑鱼中提取的线粒体DNA的下一代(NextGen)测序获得的FASTQ文件中记录的核苷酸序列和质量分数来完成的。比对使用MUSCLE (MUSCLE 5.2) (Edgar in Nat common 13:6968, 2022)完成,应用于每个片段的多个版本,根据质量分数下的核碱基识别错误概率进行扰动。Damerau-Levenshtein距离用于确定与每个对齐的扰动片段最接近的候选物种的遗传条形码。然后将采样片段投给不同候选物种的“选票”汇总并转换为识别概率,使用由片段特定识别概率分布的熵确定的权重。这种量化与NextGen测序测量相关的不确定性的新方法可用于区分密切相关的物种,从而用于支持海产品真实性测定的参考物质的值分配,例如NIST参考物质8256和8257 (Coho salmon) (Ellisor等人,2021)。
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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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