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Pan‐regional marine benthic cryptobiome biodiversity patterns revealed by metabarcoding Autonomous Reef Monitoring Structures
Pearman, J.K.; Chust, G.; Aylagas, E.; Villarino, E.; Watson, J.R.; Chenuil, A.; Borja, A.; Cahill, A.E.; Carugati, L.; Danovaro, R.; David, R.; Irigoien, X.; Mendibil, I.; Moncheva, S.; Rodríguez-Ezpeleta, N.; Uyarra, M.C.; Carvalho, S. (2020). Pan‐regional marine benthic cryptobiome biodiversity patterns revealed by metabarcoding Autonomous Reef Monitoring Structures. Mol. Ecol. 29(24): 4882-4897. https://dx.doi.org/10.1111/mec.15692
In: Molecular Ecology. Blackwell: Oxford. ISSN 0962-1083; e-ISSN 1365-294X
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| Auteurs | | Top |
- Pearman, J.K.
- Chust, G.
- Aylagas, E.
- Villarino, E.
- Watson, J.R.
- Chenuil, A.
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- Borja, A.
- Cahill, A.E.
- Carugati, L.
- Danovaro, R.
- David, R.
- Irigoien, X.
|
- Mendibil, I.
- Moncheva, S.
- Rodríguez-Ezpeleta, N.
- Uyarra, M.C.
- Carvalho, S.
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| Abstract |
Autonomous Reef Monitoring Structures (ARMS) have been applied worldwide to characterize the critical yet frequently overlooked biodiversity patterns of marine benthic organisms. In order to disentangle the relevance of environmental factors in benthic patterns, here, through standardized metabarcoding protocols, we analyse sessile and mobile (<2 mm) organisms collected using ARMS deployed across six regions with different environmental conditions (3 sites × 3 replicates per region): Baltic, Western Mediterranean, Adriatic, Black and Red Seas, and the Bay of Biscay. A total of 27,473 Amplicon Sequence Variants (ASVs) were observed ranging from 1,404 in the Black Sea to 9,958 in the Red Sea. No ASVs were shared among all regions. The highest number of shared ASVs was between the Western Mediterranean and the Adriatic Sea (116) and Bay of Biscay (115). Relatively high numbers of ASVs (103), mostly associated with the genus Amphibalanus, were also shared between the lower salinity seas (Baltic and Black Seas). We found that compositional differences in spatial patterns of rocky-shore benthos are determined slightly more by dispersal limitation than environmental filtering. Dispersal limitation was similar between sessile and mobile groups, while the sessile group had a larger environmental niche breadth than the mobile group. Further, our study can provide a foundation for future evaluations of biodiversity patterns in the cryptobiome, which can contribute up to 70% of the local biodiversity. |
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