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宏条形码分析中的观察偏差

Observation Bias in Metabarcoding.

作者信息

Shaffer Megan R, Andruszkiewicz Allan Elizabeth, Van Cise Amy M, Parsons Kim M, Shelton Andrew Olaf, Kelly Ryan P

机构信息

School of Marine and Environmental Affairs, University of Washington, Seattle, Washington, USA.

Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.

出版信息

Mol Ecol Resour. 2025 Oct;25(7):e14119. doi: 10.1111/1755-0998.14119. Epub 2025 May 15.

Abstract

DNA metabarcoding is subject to observation bias associated with PCR and sequencing, which can result in observed read proportions differing from actual species proportions in the DNA extract. Here, we amplify and sequence a mock community of known composition containing marine fishes and cetaceans using four different primer sets and a variety of PCR conditions. We first compare metabarcoding observations to two different sets of expected species proportions based on total genomic DNA and on target mitochondrial template DNA. We find that calibrating observed read proportions based on template DNA concentration is most appropriate as it isolates PCR amplification bias; calibration with total genomic DNA results in bias that can be attributed to both PCR amplification bias and differing ratios of template to total genomic DNA. We then model the remaining amplification bias and find that approximately 60% can be explained by inherent species-specific DNA characteristics. These include primer-template mismatches, amplicon fragment length, and GC content, which vary somewhat across Taq polymerases. Finally, we investigate how different PCR protocols influence community composition regardless of expected proportions and find that changing protocols most strongly influence the amplification of templates with primer mismatches. Our findings suggest that using primer-template pairs without mismatches and targeting a narrow taxonomic group can yield more repeatable and accurate estimates of species' true, underlying DNA template proportions. These findings identify key factors that should be considered when designing studies that aim to apply metabarcoding data quantitatively.

摘要

DNA 宏条形码技术容易受到与聚合酶链式反应(PCR)和测序相关的观察偏差影响,这可能导致观察到的读数比例与 DNA 提取物中实际物种比例不同。在此,我们使用四种不同的引物组和多种 PCR 条件,对一个已知组成的包含海洋鱼类和鲸类的模拟群落进行扩增和测序。我们首先将宏条形码观察结果与基于总基因组 DNA 和目标线粒体模板 DNA 的两组不同预期物种比例进行比较。我们发现,基于模板 DNA 浓度校准观察到的读数比例最为合适,因为它可以分离出 PCR 扩增偏差;用总基因组 DNA 进行校准会导致偏差,这种偏差可归因于 PCR 扩增偏差以及模板与总基因组 DNA 的不同比例。然后,我们对剩余的扩增偏差进行建模,发现大约 60%可以由物种特有的固有 DNA 特征来解释。这些特征包括引物 - 模板错配、扩增子片段长度和 GC 含量,不同的 Taq 聚合酶在这些方面会有所不同。最后,我们研究了不同的 PCR 方案如何影响群落组成,而不考虑预期比例,发现改变方案对具有引物错配的模板扩增影响最大。我们的研究结果表明,使用无错配的引物 - 模板对并针对狭窄的分类群可以对物种真实的潜在 DNA 模板比例进行更可重复和准确的估计。这些发现确定了在设计旨在定量应用宏条形码数据的研究时应考虑的关键因素。

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