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