期刊
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS
卷 167, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.dsr.2020.103427
关键词
Porifera; Population genetics; Single-nucleotide polymorphisms (SNPs); Amplicon sequencing; Lagrangian modelling; Ocean sensing
类别
资金
- European Union's Horizon 2020 research and innovation program [679849]
- cooperative program 'RACE-Regional Atlantic Circulation and Global Change' (BMBF) [03F0824C]
This study analysed the population genetics of deep-sea sponge clades and assessed their host microbiomes by 16S rRNA gene sequencing. It found overall genetic uniformity in the sponge clades, but subtle genetic differences between them on small spatial scales. The Lagrangian model suggested strong larval retention in the study area with varying inter-annual connectivity via currents.
Connectivity is a fundamental process driving the persistence of marine populations and their adaptation potential in response to environmental change. In this study, we analysed the population genetics of two morphologically highly similar deep-sea sponge clades (Phakellia hirondellei and the 'Topsentia-and-Petromica' clade, (hereafter referred to as 'TaP clade')) at three locations in the Cantabrian Sea and simultaneously assessed the corresponding host microbiome by 16S rRNA gene sequencing. A virtual particle tracking approach (Lagrangian modelling) was applied to assess oceanographic connectivity in the study area. We observed overall genetic uniformity for both sponge clades. Notably, subtle genetic differences were observed for sponges of the TaP clade and also their microbiomes between a canyon and bank location, < 100 km apart and with the same depth range. The Lagrangian model output suggests a strong retention of larvae in the study area with variable inter-annual connectivity via currents between the three sampling regions. We conclude that geologic features (canyons) and the prevailing ocean currents may dictate sponge holobiont connectivity and that differentiation can emerge even on small spatial scales.
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