Deep‐sea sponge derived environmental DNA analysis reveals demersal fish biodiversity of a remote Arctic ecosystem

Deep‐sea sponge derived environmental DNA analysis reveals demersal fish biodiversity of a remote Arctic ecosystem
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深海海绵衍生的环境 DNA 分析揭示了偏远北极生态系统的底层鱼类生物多样性

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发表时间:
2023
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影响因子:
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通讯作者:
M. Sweet
M. Sweet
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作者:
O. B. Brodnicke;H. K. Meyer;K. Busch;J. Xavier;S. Knudsen;P. Møller;U. Hentschel;M. Sweet

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深海广阔、偏远,而且大部分尚未开发。然而,环境 DNA (eDNA) 调查方法的进步可能有助于勘探工作,例如使用海绵作为天然 eDNA 过滤器来研究鱼类生物多样性。在这项研究中,我们分析了 116 个海绵组织样本的 eDNA,并将其与 18 个水 eDNA 样本和在北极海山获得的目视调查进行了比较。通过各种调查方法,我们发现大约 30% 的物种被认为栖息在该地区,并且仅通过海绵衍生的 eDNA 就检测到了 11 种鱼类。其中包括具有重要商业价值的鱼类,例如格陵兰大比目鱼和大西洋鲭鱼。海绵样品中的鱼类 eDNA 检测差异很大。微生物活性较低的海绵(例如 Hexactinellida 类海绵)的检出率最高。不同的调查方法还发现了替代的鱼类群落,突出显示视觉调查和海绵 eDNA 样本之间只有一个物种重叠。因此,我们得出的结论是,海绵 eDNA 可以成为调查深海底层鱼类群落的有用工具,并且它与视觉调查协同作用,改善整体生物多样性评估。诸如此类的数据集可以形成有关整个海山鱼类生物多样性的综合基线,进而可以为进行此类调查的区域的海洋管理和保护实践提供信息。
The deep‐sea is vast, remote, and largely underexplored. However, methodological advances in environmental DNA (eDNA) surveys could aid in the exploration efforts, such as using sponges as natural eDNA filters for studying fish biodiversity. In this study, we analyzed the eDNA from 116 sponge tissue samples and compared these to 18 water eDNA samples and visual surveys obtained on an Arctic seamount. Across survey methods, we revealed approximately 30% of the species presumed to inhabit this area and 11 fish species were detected via sponge derived eDNA alone. These included commercially important fish such as the Greenland halibut and Atlantic mackerel. Fish eDNA detection was highly variable across sponge samples. Highest detection rates were found in sponges with low microbial activity such as those from the class Hexactinellida. The different survey methods also detected alternate fish communities, highlighted by only one species overlap between the visual surveys and the sponge eDNA samples. Therefore, we conclude that sponge eDNA can be a useful tool for surveying deep‐sea demersal fish communities and it synergises with visual surveys improving overall biodiversity assessments. Datasets such as this can form comprehensive baselines on fish biodiversity across seamounts, which in turn can inform marine management and conservation practices in the regions where such surveys are undertaken.
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