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环境 DNA 引物在微生物和恢复生态学中的应用。

An Environmental DNA Primer for Microbial and Restoration Ecology.

机构信息

Department of Biology, St. Francis College, Brooklyn, NY, USA.

Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY, 10024, USA.

出版信息

Microb Ecol. 2023 Apr;85(3):796-808. doi: 10.1007/s00248-022-02168-5. Epub 2023 Feb 3.

DOI:10.1007/s00248-022-02168-5
PMID:36735064
Abstract

Environmental DNA (eDNA) sequencing-DNA collected from the environment from living cells or shed DNA-was first developed for working with microbes and has greatly benefitted microbial ecologists for decades since. These tools have only become increasingly powerful with the advent of metabarcoding and metagenomics. Most new studies that examine diverse assemblages of bacteria, archaea, protists, fungi, and viruses lean heavily into eDNA using these newer technologies, as the necessary sequencing technology and bioinformatic tools have become increasingly affordable and user friendly. However, eDNA methods are rapidly evolving, and sometimes it can feel overwhelming to simply keep up with the basics. In this review, we provide a starting point for microbial ecologists who are new to DNA-based methods by detailing the eDNA methods that are most pertinent, including study design, sample collection and storage, selecting the right sequencing technology, lab protocols, equipment, and a few bioinformatic tools. Furthermore, we focus on how eDNA work can benefit restoration and what modifications are needed when working in this subfield.

摘要

环境 DNA(eDNA)测序——从环境中采集的来自活细胞或脱落 DNA 的 DNA——最初是为研究微生物而开发的,自那时以来,几十年来一直使微生物生态学家受益匪浅。随着代谢组学和宏基因组学的出现,这些工具的功能变得越来越强大。大多数研究不同细菌、古菌、原生生物、真菌和病毒组合的新研究都大量使用 eDNA 这些新技术,因为必要的测序技术和生物信息学工具变得越来越便宜和用户友好。然而,eDNA 方法正在迅速发展,有时仅仅跟上基础知识就会让人感到不知所措。在这篇综述中,我们通过详细介绍最相关的 eDNA 方法,为刚开始使用基于 DNA 的方法的微生物生态学家提供了一个起点,包括研究设计、样本采集和存储、选择合适的测序技术、实验室方案、设备以及一些生物信息学工具。此外,我们还重点介绍了 eDNA 工作如何有益于恢复,以及在该子领域工作时需要进行哪些修改。

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本文引用的文献

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Comparison Between Full-Length 16S rRNA Metabarcoding and Whole Metagenome Sequencing Suggests the Use of Either Is Suitable for Large-Scale Microbiome Studies.全长16S rRNA基因条形码测序与全宏基因组测序的比较表明,二者均可用于大规模微生物组研究。
Foodborne Pathog Dis. 2022 Jul;19(7):495-504. doi: 10.1089/fpd.2022.0027.
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To compare the performance of prokaryotic taxonomy classifiers using curated 16S full-length rRNA sequences.比较使用经过整理的 16S 全长 rRNA 序列的原核分类器的性能。
Comput Biol Med. 2022 Jun;145:105416. doi: 10.1016/j.compbiomed.2022.105416. Epub 2022 Mar 17.
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Standardized Comparison of Different DNA Sequencing Platforms.
不同DNA测序平台的标准化比较
Clin Chem. 2022 Jul 3;68(7):872-876. doi: 10.1093/clinchem/hvac023.
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Bioscience. 2021 Dec 7;72(1):5-12. doi: 10.1093/biosci/biab120. eCollection 2022 Jan.
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Curr Biol. 2022 Feb 7;32(3):701-707.e5. doi: 10.1016/j.cub.2021.12.014. Epub 2022 Jan 6.
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Diversity and ecology of protists revealed by metabarcoding.通过宏条形码技术揭示的原生生物多样性与生态学。
Curr Biol. 2021 Oct 11;31(19):R1267-R1280. doi: 10.1016/j.cub.2021.07.066.
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Enhanced Recovery of Microbial Genes and Genomes From a Marine Water Column Using Long-Read Metagenomics.利用长读长宏基因组学从海水柱中增强微生物基因和基因组的回收
Front Microbiol. 2021 Aug 27;12:708782. doi: 10.3389/fmicb.2021.708782. eCollection 2021.
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Rewilding with invertebrates and microbes to restore ecosystems: Present trends and future directions.利用无脊椎动物和微生物进行生态修复以恢复生态系统:当前趋势与未来方向。
Ecol Evol. 2021 May 2;11(12):7187-7200. doi: 10.1002/ece3.7597. eCollection 2021 Jun.