Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, 6102, Australia.
Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, 2109, Australia.
Conserv Biol. 2019 Feb;33(1):196-205. doi: 10.1111/cobi.13183. Epub 2018 Sep 12.
Monitoring communities of fish is important for the management and sustainability of fisheries and marine ecosystems. Baited remote underwater video systems (BRUVs) are among the most effective nondestructive techniques for sampling bony fishes and elasmobranchs (sharks, rays, and skates). However, BRUVs sample visually conspicuous biota; hence, some taxa are undersampled or not recorded at all. We compared the diversity of fishes characterized using BRUVs with diversity detected via environmental DNA (eDNA) metabarcoding. We sampled seawater and captured BRUVs imagery at 48 locales that included reef and seagrass beds inside and outside a marine reserve (Jurien Bay in Western Australia). Eighty-two fish genera from 13 orders were detected, and the community of fishes described using eDNA and BRUVs combined yielded >30% more generic richness than when either method was used alone. Rather than detecting a homogenous genetic signature, the eDNA assemblages mirrored the BRUVs' spatial explicitness; differentiation of taxa between seagrass and reef was clear despite the relatively small geographical scale of the study site (∼35 km ). Taxa that were not sampled by one approach, due to limitations and biases intrinsic to the method, were often detected with the other. Therefore, using BRUVs and eDNA in concert provides a more holistic view of vertebrate marine communities across habitats. Both methods are noninvasive, which enhances their potential for widespread implementation in the surveillance of marine ecosystems.
监测鱼类群落对于渔业和海洋生态系统的管理和可持续性非常重要。投饵式水下遥控视频系统(BRUVs)是最有效的非破坏性技术之一,可用于采样硬骨鱼类和软骨鱼类(鲨鱼、鳐鱼和魟鱼)。然而,BRUVs 仅能采样到视觉上明显的生物群;因此,一些分类群被低估或根本没有记录。我们比较了使用 BRUVs 特征描述的鱼类多样性与通过环境 DNA(eDNA)宏条形码检测到的多样性。我们在 48 个地点采集了海水并拍摄了 BRUVs 图像,这些地点包括海洋保护区内和外部的珊瑚礁和海草床(西澳大利亚的杰里恩湾)。从 13 个目中检测到 82 个鱼类属,使用 eDNA 和 BRUVs 组合描述的鱼类群落的通用丰富度比单独使用任何一种方法时增加了>30%。eDNA 组合并没有检测到均匀的遗传特征,而是反映了 BRUVs 的空间明确性;尽管研究地点的地理规模相对较小(约 35 公里),但海草床和珊瑚礁之间的分类群分化很明显。由于方法本身的限制和偏差,一种方法无法采样的分类群通常可以通过另一种方法检测到。因此,BRUVs 和 eDNA 的联合使用可以更全面地了解不同生境下的海洋脊椎动物群落。这两种方法都是非侵入性的,这提高了它们在海洋生态系统监测中的广泛应用潜力。