K.L. and S.B. share equal first co-authorship.
Parallel changes of taxonomic interaction networks in lacustrine bacterial communities induced by a polymetallic perturbation
Article first published online: 18 FEB 2013
© 2013 The Authors. Evolutionary Applications published by Blackwell Publishing Ltd.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Volume 6, Issue 4, pages 643–659, June 2013
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How to Cite
Laplante, K., Sébastien, B. and Derome, N. (2013), Parallel changes of taxonomic interaction networks in lacustrine bacterial communities induced by a polymetallic perturbation. Evolutionary Applications, 6: 643–659. doi: 10.1111/eva.12050
- Issue published online: 21 MAY 2013
- Article first published online: 18 FEB 2013
- Manuscript Accepted: 3 JAN 2013
- Manuscript Revised: 10 DEC 2012
- Manuscript Received: 22 JUN 2012
- National Sciences and Engineering Council of Canada
- Collaborative Research and Training Experience Program
- bacterial communities;
- ecosystem services;
- next generation sequencing;
- polymetallic gradient contamination;
- taxonomical networks
Heavy metals released by anthropogenic activities such as mining trigger profound changes to bacterial communities. In this study we used 16S SSU rRNA gene high-throughput sequencing to characterize the impact of a polymetallic perturbation and other environmental parameters on taxonomic networks within five lacustrine bacterial communities from sites located near Rouyn-Noranda, Quebec, Canada. The results showed that community equilibrium was disturbed in terms of both diversity and structure. Moreover, heavy metals, especially cadmium combined with water acidity, induced parallel changes among sites via the selection of resistant OTUs (Operational Taxonomic Unit) and taxonomic dominance perturbations favoring the Alphaproteobacteria. Furthermore, under a similar selective pressure, covariation trends between phyla revealed conservation and parallelism within interphylum interactions. Our study sheds light on the importance of analyzing communities not only from a phylogenetic perspective but also including a quantitative approach to provide significant insights into the evolutionary forces that shape the dynamic of the taxonomic interaction networks in bacterial communities.