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1
Environmental DNA metabarcoding reveals and unpacks a biodiversity conservation paradox in Mediterranean marine reserves.环境DNA宏条形码技术揭示并剖析了地中海海洋保护区生物多样性保护中的一个悖论。
Proc Biol Sci. 2021 Apr 28;288(1949):20210112. doi: 10.1098/rspb.2021.0112.
2
Bioinformatic pipelines combining denoising and clustering tools allow for more comprehensive prokaryotic and eukaryotic metabarcoding.生物信息学管道结合去噪和聚类工具,可实现更全面的原核生物和真核生物代谢组学分析。
Mol Ecol Resour. 2021 Aug;21(6):1904-1921. doi: 10.1111/1755-0998.13398. Epub 2021 Apr 27.
3
Trait similarity in reef fish faunas across the world's oceans.世界海洋中珊瑚鱼区系的性状相似性。
Proc Natl Acad Sci U S A. 2021 Mar 23;118(12). doi: 10.1073/pnas.2012318118.
4
Integrating eDNA metabarcoding and simultaneous underwater visual surveys to describe complex fish communities in a marine biodiversity hotspot.利用 eDNA 宏条形码和同步水下视觉调查来描述海洋生物多样性热点地区复杂的鱼类群落。
Mol Ecol Resour. 2021 Jul;21(5):1558-1574. doi: 10.1111/1755-0998.13375. Epub 2021 Mar 31.
5
Planktivores as trophic drivers of global coral reef fish diversity patterns.食浮游生物动物作为全球珊瑚礁鱼类多样性格局的营养驱动因素。
Proc Natl Acad Sci U S A. 2021 Mar 2;118(9). doi: 10.1073/pnas.2019404118.
6
Environmental DNA effectively captures functional diversity of coastal fish communities.环境 DNA 有效地捕获了沿海鱼类群落的功能多样性。
Mol Ecol. 2021 Jul;30(13):3127-3139. doi: 10.1111/mec.15661. Epub 2020 Oct 20.
7
Marine water environmental DNA metabarcoding provides a comprehensive fish diversity assessment and reveals spatial patterns in a large oceanic area.海水环境DNA宏条形码技术提供了全面的鱼类多样性评估,并揭示了一个大洋区域的空间格局。
Ecol Evol. 2020 Jun 23;10(14):7560-7584. doi: 10.1002/ece3.6482. eCollection 2020 Jul.
8
Accumulation curves of environmental DNA sequences predict coastal fish diversity in the coral triangle.环境 DNA 序列的积累曲线可预测珊瑚三角区沿海鱼类多样性。
Proc Biol Sci. 2020 Jul 8;287(1930):20200248. doi: 10.1098/rspb.2020.0248.
9
Trophic innovations fuel reef fish diversification.营养创新推动珊瑚礁鱼类多样化。
Nat Commun. 2020 May 29;11(1):2669. doi: 10.1038/s41467-020-16498-w.
10
Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap.环境基因组学驱动的生态系统监测:当前策略综述及实施路线图。
Mol Ecol. 2021 Jul;30(13):2937-2958. doi: 10.1111/mec.15472. Epub 2020 Jun 18.

通过宏条形码技术的视角研究珊瑚礁鱼类生物多样性的跨洋格局和过程。

Cross-ocean patterns and processes in fish biodiversity on coral reefs through the lens of eDNA metabarcoding.

机构信息

CEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.

ENTROPIE, Institut de Recherche pour le Développement (IRD), Univ. Réunion, UNC, CNRS, Q1 IFREMER, Nouméa, New Caledonia, France.

出版信息

Proc Biol Sci. 2022 Apr 27;289(1973):20220162. doi: 10.1098/rspb.2022.0162. Epub 2022 Apr 20.

DOI:10.1098/rspb.2022.0162
PMID:35440210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9019517/
Abstract

Increasing speed and magnitude of global change threaten the world's biodiversity and particularly coral reef fishes. A better understanding of large-scale patterns and processes on coral reefs is essential to prevent fish biodiversity decline but it requires new monitoring approaches. Here, we use environmental DNA metabarcoding to reconstruct well-known patterns of fish biodiversity on coral reefs and uncover hidden patterns on these highly diverse and threatened ecosystems. We analysed 226 environmental DNA (eDNA) seawater samples from 100 stations in five tropical regions (Caribbean, Central and Southwest Pacific, Coral Triangle and Western Indian Ocean) and compared those to 2047 underwater visual censuses from the Reef Life Survey in 1224 stations. Environmental DNA reveals a higher (16%) fish biodiversity, with 2650 taxa, and 25% more families than underwater visual surveys. By identifying more pelagic, reef-associated and crypto-benthic species, eDNA offers a fresh view on assembly rules across spatial scales. Nevertheless, the reef life survey identified more species than eDNA in 47 shared families, which can be due to incomplete sequence assignment, possibly combined with incomplete detection in the environment, for some species. Combining eDNA metabarcoding and extensive visual census offers novel insights on the spatial organization of the richest marine ecosystems.

摘要

全球变化的速度和规模不断加快和加大,威胁着世界生物多样性,尤其是珊瑚礁鱼类。为了防止鱼类生物多样性下降,必须深入了解珊瑚礁上的大规模格局和过程,但这需要新的监测方法。在这里,我们使用环境 DNA 宏条形码技术来重建珊瑚礁鱼类生物多样性的知名模式,并揭示这些高度多样化和受威胁的生态系统中的隐藏模式。我们分析了来自五个热带地区(加勒比海、中西南太平洋、珊瑚三角区和西印度洋)的 100 个站位的 226 个环境 DNA (eDNA) 海水样本,并将这些样本与 1224 个站位的 Reef Life Survey 的 2047 个水下视觉普查数据进行了比较。环境 DNA 揭示了更高的(16%)鱼类生物多样性,有 2650 个分类单元和 25%更多的科,比水下视觉调查更多。通过确定更多的浮游生物、珊瑚礁相关和隐生底栖物种,eDNA 提供了关于跨空间尺度组装规则的新视角。然而,在 47 个共享科中,eDNA 识别出的物种比水下视觉调查少,这可能是由于某些物种的序列分配不完全,可能与环境中不完全检测有关。结合 eDNA 宏条形码技术和广泛的视觉普查,可以为最丰富的海洋生态系统的空间组织提供新的见解。