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Metaproteogenomic insights beyond bacterial response to naphthalene exposure and bio-stimulation
Authors:María-Eugenia Guazzaroni  Florian-Alexander Herbst  Iván Lores  Javier Tamames  Ana Isabel Peláez  Nieves López-Cortés  María Alcaide  Mercedes V Del Pozo  José María Vieites  Martin von Bergen  José Luis R Gallego  Rafael Bargiela  Arantxa López-López  Dietmar H Pieper  Ramón Rosselló-Móra  Jesús Sánchez  Jana Seifert  Manuel Ferrer
Abstract:Microbial metabolism in aromatic-contaminated environments has important ecological implications, and obtaining a complete understanding of this process remains a relevant goal. To understand the roles of biodiversity and aromatic-mediated genetic and metabolic rearrangements, we conducted ‘OMIC'' investigations in an anthropogenically influenced and polyaromatic hydrocarbon (PAH)-contaminated soil with (Nbs) or without (N) bio-stimulation with calcium ammonia nitrate, NH4NO3 and KH2PO4 and the commercial surfactant Iveysol, plus two naphthalene-enriched communities derived from both soils (CN2 and CN1, respectively). Using a metagenomic approach, a total of 52, 53, 14 and 12 distinct species (according to operational phylogenetic units (OPU) in our work equivalent to taxonomic species) were identified in the N, Nbs, CN1 and CN2 communities, respectively. Approximately 10 out of 95 distinct species and 238 out of 3293 clusters of orthologous groups (COGs) protein families identified were clearly stimulated under the assayed conditions, whereas only two species and 1465 COGs conformed to the common set in all of the mesocosms. Results indicated distinct biodegradation capabilities for the utilisation of potential growth-supporting aromatics, which results in bio-stimulated communities being extremely fit to naphthalene utilisation and non-stimulated communities exhibiting a greater metabolic window than previously predicted. On the basis of comparing protein expression profiles and metagenome data sets, inter-alia interactions among members were hypothesised. The utilisation of curated databases is discussed and used for first time to reconstruct ‘presumptive'' degradation networks for complex microbial communities.
Keywords:biodiversity   bio-stimulation   label-free protein quantification   metagenomics   metaproteomics   polyaromatic hydrocarbon
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