Frühe Larissa, Dully Verena, Forster Dominik, Keeley Nigel B, Laroche Olivier, Pochon Xavier, Robinson Shawn, Wilding Thomas A, Stoeck Thorsten
Ecology Group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.
Biosecurity, Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand.
Front Microbiol. 2021 Apr 29;12:637811. doi: 10.3389/fmicb.2021.637811. eCollection 2021.
The analysis of benthic bacterial community structure has emerged as a powerful alternative to traditional microscopy-based taxonomic approaches to monitor aquaculture disturbance in coastal environments. However, local bacterial diversity and community composition vary with season, biogeographic region, hydrology, sediment texture, and aquafarm-specific parameters. Therefore, without an understanding of the inherent variation contained within community complexes, bacterial diversity surveys conducted at individual farms, countries, or specific seasons may not be able to infer global universal pictures of bacterial community diversity and composition at different degrees of aquaculture disturbance. We have analyzed environmental DNA (eDNA) metabarcodes (V3-V4 region of the hypervariable SSU rRNA gene) of 138 samples of different farms located in different major salmon-producing countries. For these samples, we identified universal bacterial core taxa that indicate high, moderate, and low aquaculture impact, regardless of sampling season, sampled country, seafloor substrate type, or local farming and environmental conditions. We also discuss bacterial taxon groups that are specific for individual local conditions. We then link the metabolic properties of the identified bacterial taxon groups to benthic processes, which provides a better understanding of universal benthic ecosystem function(ing) of coastal aquaculture sites. Our results may further guide the continuing development of a practical and generic bacterial eDNA-based environmental monitoring approach.
对底栖细菌群落结构的分析已成为一种强大的替代方法,可替代传统的基于显微镜的分类方法,用于监测沿海环境中的水产养殖干扰。然而,当地细菌的多样性和群落组成会随季节、生物地理区域、水文、沉积物质地以及水产养殖场特定参数而变化。因此,如果不了解群落复合体中固有的变异,在单个养殖场、国家或特定季节进行的细菌多样性调查可能无法推断出在不同程度水产养殖干扰下细菌群落多样性和组成的全球通用情况。我们分析了位于不同主要三文鱼生产国的不同养殖场的138个样本的环境DNA(eDNA)元条形码(高变SSU rRNA基因的V3 - V4区域)。对于这些样本,我们确定了指示高、中、低水产养殖影响的通用细菌核心分类群,而不考虑采样季节、采样国家、海底基质类型或当地养殖和环境条件。我们还讨论了针对个别当地条件的细菌分类群。然后,我们将已确定的细菌分类群的代谢特性与底栖过程联系起来,这有助于更好地理解沿海水产养殖场所的通用底栖生态系统功能。我们的结果可能会进一步指导基于细菌eDNA的实用通用环境监测方法的持续发展。