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持久自然 CO 干扰下底层生物群落的高分类多样性和微型化。

High taxonomic diversity and miniaturization in benthic communities under persistent natural CO disturbances.

机构信息

Departamento de Biología Animal, Edafología y Geología, Universidad de La Laguna, Canary Islands, Spain.

Department of Evolutionary Biology, Ecology and Environmental Sciences & Institut de Recerca de la Biodiversitat, University of Barcelona, Barcelona, Spain.

出版信息

Proc Biol Sci. 2023 Mar 29;290(1995):20222417. doi: 10.1098/rspb.2022.2417.

DOI:10.1098/rspb.2022.2417
PMID:36987638
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10050917/
Abstract

Metabarcoding techniques have revolutionized ecological research in recent years, facilitating the differentiation of cryptic species and revealing previously hidden diversity. In the current scenario of climate change and ocean acidification, biodiversity loss is one of the main threats to marine ecosystems. Here, we explored the effects of ocean acidification on marine benthic communities using DNA metabarcoding to assess the diversity of algae and metazoans. Specifically, we examined the natural pH gradient generated by the Fuencaliente CO vent system, located near La Palma Island (Canary Islands). High-resolution COI metabarcoding analyses revealed high levels of taxonomic diversity in an acidified natural area for the first time. This high number of species arises from the detection of small and cryptic species that were previously undetectable by other techniques. Such species are apparently tolerant to the acidification levels expected in future oceans. Hence and following our results, future subtropical communities are expected to keep high biodiversity values under an acidification scenario, although they will tend toward overall miniaturization due to the dominance of small algal and invertebrate species, leading to changes in ecosystem functions.

摘要

近年来,代谢条形码技术在生态研究领域引发了革命,有助于区分隐匿物种,并揭示先前隐藏的多样性。在当前气候变化和海洋酸化的背景下,生物多样性丧失是海洋生态系统面临的主要威胁之一。在这里,我们使用 DNA 代谢条形码技术研究海洋底栖生物群落对海洋酸化的影响,以评估藻类和后生动物的多样性。具体来说,我们研究了位于拉帕尔马岛(加那利群岛)附近的富恩卡连特 CO 喷口系统产生的自然 pH 梯度。高分辨率 COI 代谢条形码分析首次在酸化的自然区域中揭示了高水平的分类多样性。这些物种数量众多是由于检测到了以前其他技术无法检测到的小型和隐匿物种。这些物种显然能够耐受未来海洋中预期的酸化水平。因此,根据我们的研究结果,未来亚热带群落预计在酸化情景下仍能保持高生物多样性值,但由于小型藻类和无脊椎动物物种的主导地位,它们将趋向于整体小型化,从而导致生态系统功能发生变化。