Department of Biology, Facultad de Ciencias, Universidad Autónoma de Madrid, Calle Darwin 2, Cantoblanco, 28049, Madrid, Spain.
Department of Life Sciences, Natural History Museum, Cromwell Road, South Kensington, London, SW7 5BD, UK.
Commun Biol. 2024 Aug 19;7(1):1015. doi: 10.1038/s42003-024-06695-4.
The deep-sea remains the biggest challenge to biodiversity exploration, and anthropogenic disturbances extend well into this realm, calling for urgent management strategies. One of the most diverse, productive, and vulnerable ecosystems in the deep sea are sponge grounds. Currently, environmental DNA (eDNA) metabarcoding is revolutionising the field of biodiversity monitoring, yet complex deep-sea benthic ecosystems remain challenging to assess even with these novel technologies. Here, we evaluate the effectiveness of whole-community metabarcoding to characterise metazoan diversity in sponge grounds across the North Atlantic by leveraging the natural eDNA sampling properties of deep-sea sponges themselves. We sampled 97 sponge tissues from four species across four North-Atlantic biogeographic regions in the deep sea and screened them using the universal COI barcode region. We recovered unprecedented levels of taxonomic diversity per unit effort, especially across the phyla Chordata, Cnidaria, Echinodermata and Porifera, with at least 406 metazoan species found in our study area. These assemblages identify strong spatial patterns in relation to both latitude and depth, and detect emblematic species currently employed as indicators for these vulnerable habitats. The remarkable performance of this approach in different species of sponges, in different biogeographic regions and across the whole animal kingdom, illustrates the vast potential of natural samplers as high-resolution biomonitoring solutions for highly diverse and vulnerable deep-sea ecosystems.
深海仍然是生物多样性探索的最大挑战,人为干扰也延伸到了这一领域,因此需要紧急的管理策略。深海中的海绵场是最多样化、生产力最高和最脆弱的生态系统之一。目前,环境 DNA(eDNA)宏条形码技术正在彻底改变生物多样性监测领域,但即使使用这些新技术,复杂的深海海底生态系统仍然难以评估。在这里,我们通过利用深海海绵自身的天然 eDNA 采样特性,评估了基于整个群落的宏条形码技术在整个北大西洋海绵场中描述后生动物多样性的有效性。我们从深海中的四个北大西洋生物地理区域的四个物种中采集了 97 个海绵组织,并使用通用的 COI 条形码区域对其进行了筛选。我们以单位努力为单位,恢复了前所未有的分类多样性水平,尤其是在脊索动物门、刺胞动物门、棘皮动物门和多孔动物门中,在我们的研究区域中发现了至少 406 种后生动物物种。这些组合与纬度和深度都存在强烈的空间模式,并检测到了目前被用作这些脆弱栖息地指标的标志性物种。这种方法在不同的海绵物种、不同的生物地理区域和整个动物王国中都表现出了显著的性能,说明了天然采样器作为高度多样化和脆弱的深海生态系统的高分辨率生物监测解决方案的巨大潜力。