Parallel changes of taxonomic interaction networks in lacustrine bacterial communities induced by a polymetallic perturbation

Authors

  • Karine Laplante,

    1. Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
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    • K.L. and S.B. share equal first co-authorship.
  • Boutin Sébastien,

    1. Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
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    • K.L. and S.B. share equal first co-authorship.
  • Nicolas Derome

    Corresponding author
    • Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
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Correspondence

Nicolas Derome, Université Laval, 1030 Avenue de la Médecine – Québec, QC, G1V 0A6, Canada.

Tel.: +1 418 656 7726;

fax: +1 418 656 2043;

e-mail: nicolas.derome@bio.ulaval.ca

Abstract

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.

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