Trace and Environmental DNA (TrEnD) Laboratory, Department of Environment and Agriculture, Curtin University, Perth, WA, 6102, Australia.
Centre for Marine Ecosystems Research, School of Science, Edith Cowan University, Perth, WA, 6027, Australia.
Sci Rep. 2017 Sep 25;7(1):12240. doi: 10.1038/s41598-017-12501-5.
Effective marine management requires comprehensive data on the status of marine biodiversity. However, efficient methods that can document biodiversity in our oceans are currently lacking. Environmental DNA (eDNA) sourced from seawater offers a new avenue for investigating the biota in marine ecosystems. Here, we investigated the potential of eDNA to inform on the breadth of biodiversity present in a tropical marine environment. Directly sequencing eDNA from seawater using a shotgun approach resulted in only 0.34% of 22.3 million reads assigning to eukaryotes, highlighting the inefficiency of this method for assessing eukaryotic diversity. In contrast, using 'tree of life' (ToL) metabarcoding and 20-fold fewer sequencing reads, we could detect 287 families across the major divisions of eukaryotes. Our data also show that the best performing 'universal' PCR assay recovered only 44% of the eukaryotes identified across all assays, highlighting the need for multiple metabarcoding assays to catalogue biodiversity. Lastly, focusing on the fish genus Lethrinus, we recovered intra- and inter-specific haplotypes from seawater samples, illustrating that eDNA can be used to explore diversity beyond taxon identifications. Given the sensitivity and low cost of eDNA metabarcoding we advocate this approach be rapidly integrated into biomonitoring programs.
有效的海洋管理需要全面了解海洋生物多样性的状况。然而,目前缺乏能够记录海洋生物多样性的有效方法。从海水中提取的环境 DNA(eDNA)为研究海洋生态系统中的生物群提供了新的途径。在这里,我们研究了 eDNA 用于了解热带海洋环境中存在的生物多样性广度的潜力。直接使用鸟枪法从海水中测序 eDNA 仅产生 0.34%的 2230 万条读长分配给真核生物,突出了这种方法评估真核生物多样性的效率低下。相比之下,使用“生命之树”(ToL)代谢组学和 20 倍少的测序读长,我们可以检测到真核生物主要分类的 287 个科。我们的数据还表明,性能最佳的“通用”PCR 检测仅回收了所有检测中鉴定出的真核生物的 44%,突出了需要多种代谢组学检测来编目生物多样性。最后,我们专注于鱼属 Lethrinus,从海水样本中回收了种内和种间的单倍型,说明 eDNA 可用于探索超越分类鉴定的多样性。鉴于 eDNA 代谢组学的敏感性和低成本,我们主张将这种方法迅速纳入生物监测计划。