Suppr超能文献

重新审视PCR复制和测序深度对环境DNA宏条形码生物多样性指标的影响。

Revisiting the effect of PCR replication and sequencing depth on biodiversity metrics in environmental DNA metabarcoding.

作者信息

Shirazi Sabrina, Meyer Rachel S, Shapiro Beth

机构信息

Department of Ecology and Evolutionary Biology University of California Santa Cruz Santa Cruz California USA.

Howard Hughes Medical Institute University of California Santa Cruz Santa Cruz California USA.

出版信息

Ecol Evol. 2021 Oct 22;11(22):15766-15779. doi: 10.1002/ece3.8239. eCollection 2021 Nov.

Abstract

Environmental DNA (eDNA) metabarcoding is an increasingly popular tool for measuring and cataloguing biodiversity. Because the environments and substrates in which DNA is preserved differ considerably, eDNA research often requires bespoke approaches to generating eDNA data. Here, we explore how two experimental choices in eDNA study design-the number of PCR replicates and the depth of sequencing of PCR replicates-influence the composition and consistency of taxa recovered from eDNA extracts. We perform 24 PCR replicates from each of six soil samples using two of the most common metabarcodes for Fungi and Viridiplantae (ITS1 and ITS2), and sequence each replicate to an average depth of ~84,000 reads. We find that PCR replicates are broadly consistent in composition and relative abundance of dominant taxa, but that low abundance taxa are often unique to one or a few PCR replicates. Taxa observed in one out of 24 PCR replicates make up 21-29% of the total taxa detected. We also observe that sequencing depth or rarefaction influences alpha diversity and beta diversity estimates. Read sampling depth influences local contribution to beta diversity, placement in ordinations, and beta dispersion in ordinations. Our results suggest that, because common taxa drive some alpha diversity estimates, few PCR replicates and low read sampling depths may be sufficient for many biological applications of eDNA metabarcoding. However, because rare taxa are recovered stochastically, eDNA metabarcoding may never fully recover the true amplifiable alpha diversity in an eDNA extract. Rare taxa drive PCR replicate outliers of alpha and beta diversity and lead to dispersion differences at different read sampling depths. We conclude that researchers should consider the complexity and unevenness of a community when choosing analytical approaches, read sampling depths, and filtering thresholds to arrive at stable estimates.

摘要

环境DNA(eDNA)宏条形码分析是一种用于测量和编目生物多样性的日益流行的工具。由于保存DNA的环境和底物差异很大,eDNA研究通常需要定制方法来生成eDNA数据。在这里,我们探讨了eDNA研究设计中的两个实验选择——PCR重复次数和PCR重复序列的测序深度——如何影响从eDNA提取物中回收的分类群的组成和一致性。我们使用针对真菌和绿色植物最常用的两种宏条形码(ITS1和ITS2),对六个土壤样本中的每一个进行24次PCR重复,并将每个重复序列测序至平均深度约84,000条读数。我们发现,PCR重复在优势分类群的组成和相对丰度方面大致一致,但低丰度分类群通常是一个或几个PCR重复所特有的。在24个PCR重复中的一个中观察到的分类群占检测到的总分类群的21%-29%。我们还观察到测序深度或稀疏化会影响α多样性和β多样性估计。读数采样深度会影响局部对β多样性的贡献、在排序中的位置以及排序中的β离散度。我们的结果表明,由于常见分类群驱动了一些α多样性估计,对于eDNA宏条形码分析的许多生物学应用来说,较少的PCR重复和低读数采样深度可能就足够了。然而,由于稀有分类群是随机回收的,eDNA宏条形码分析可能永远无法完全恢复eDNA提取物中真正可扩增的α多样性。稀有分类群驱动了α和β多样性的PCR重复异常值,并导致不同读数采样深度下的离散度差异。我们得出结论,研究人员在选择分析方法、读数采样深度和过滤阈值以获得稳定估计时,应考虑群落的复杂性和不均匀性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46ef/8601883/b25bf1d1531c/ECE3-11-15766-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验