Duhamet Agnès, Albouy Camille, Marques Virginie, Manel Stephanie, Mouillot David
MARBEC Univ Montpellier, CNRS, IRD, Ifremer Montpellier France.
CEFE Univ Montpellier, CNRS, EPHE-PSL University, IRD Montpellier France.
Ecol Evol. 2023 Jan 18;13(1):e9672. doi: 10.1002/ece3.9672. eCollection 2023 Jan.
The bathymetric and geographical distribution of marine species represent a key information in biodiversity conservation. Yet, deep-sea ecosystems are among the least explored on Earth and are increasingly impacted by human activities. Environmental DNA (eDNA) metabarcoding has emerged as a promising method to study fish biodiversity but applications to the deep-sea are still scarce. A major limitation in the application of eDNA metabarcoding is the incompleteness of species sequences available in public genetic databases which reduces the extent of detected species. This incompleteness by depth is still unknown. Here, we built the global bathymetric and geographical distribution of 10,826 actinopterygian and 960 chondrichthyan fish species. We assessed their genetic coverage by depth and by ocean for three main metabarcoding markers used in the literature: teleo and MiFish-U/E. We also estimated the number of primer mismatches per species amplified by in silico polymerase chain reaction which influence the probability of species detection. Actinopterygians show a stronger decrease in species richness with depth than Chondrichthyans. These richness gradients are accompanied by a continuous species turnover between depths. Fish species coverage with the MiFish-U/E markers is higher than with teleo while threatened species are more sequenced than the others. "Deep-endemic" species, those not ascending to the shallow depth layer, are less sequenced than not threatened species. The number of primer mismatches is not higher for deep-sea species than for shallower ones. eDNA metabarcoding is promising for species detection in the deep-sea to better account for the 3-dimensional structure of the ocean in marine biodiversity monitoring and conservation. However, we argue that sequencing efforts on "deep-endemic" species are needed.
海洋物种的测深和地理分布是生物多样性保护中的关键信息。然而,深海生态系统是地球上探索最少的区域之一,且正日益受到人类活动的影响。环境DNA(eDNA)宏条形码技术已成为研究鱼类生物多样性的一种有前景的方法,但在深海中的应用仍然很少。eDNA宏条形码技术应用的一个主要限制是公共遗传数据库中可用物种序列的不完整性,这降低了检测到的物种范围。这种按深度划分的不完整性仍然未知。在这里,我们构建了10826种辐鳍鱼类和960种软骨鱼类的全球测深和地理分布。我们通过深度和海洋评估了文献中使用的三种主要宏条形码标记(teleo和MiFish-U/E)的遗传覆盖率。我们还通过计算机模拟聚合酶链反应估计了每个物种的引物错配数,这会影响物种检测的概率。辐鳍鱼类的物种丰富度随深度的下降比软骨鱼类更强烈。这些丰富度梯度伴随着不同深度之间持续的物种更替。使用MiFish-U/E标记的鱼类物种覆盖率高于teleo,而受威胁物种的测序数量比其他物种更多。“深度特有”物种,即那些不上升到浅深度层的物种,其测序数量比未受威胁物种少。深海物种的引物错配数并不比浅海物种更高。eDNA宏条形码技术在深海物种检测方面很有前景,以便在海洋生物多样性监测和保护中更好地考虑海洋的三维结构。然而,我们认为需要对“深度特有”物种进行测序。