Degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic data

Biostimulation with different nitrogen sources is often regarded as a strategy of choice in combating oil spills in marine environments. Such environments are typically depleted in nitrogen, therefore limiting the balanced microbial utilization of carbon-rich petroleum constituents. It is fundamenta...

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Main Authors: Rafael eBargiela, Christoph eGertler, Mirko eMagagnini, Francesca eMapelli, Jianwei eChen, Daniele eDaffonchio, Peter eGolyshin, Manuel eFerrer
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-11-01
Series:Frontiers in Microbiology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fmicb.2015.01270/full
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spelling doaj-4433addc067b468e963162cb8679e72a2020-11-24T22:59:32ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2015-11-01610.3389/fmicb.2015.01270159938Degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic dataRafael eBargiela0Christoph eGertler1Mirko eMagagnini2Francesca eMapelli3Jianwei eChen4Daniele eDaffonchio5Daniele eDaffonchio6Peter eGolyshin7Manuel eFerrer8CSIC - Institute of CatalysisBangor UniversityEcoTechSystems S.r.l.University of MilanBGI Genomics Co., Ltd.University of MilanKing Abdullah University of Science and TechnologyBangor UniversityCSIC - Institute of CatalysisBiostimulation with different nitrogen sources is often regarded as a strategy of choice in combating oil spills in marine environments. Such environments are typically depleted in nitrogen, therefore limiting the balanced microbial utilization of carbon-rich petroleum constituents. It is fundamental, yet only scarcely accounted for, to analyse the catabolic consequences of application of biostimulants. Here, we examined such alterations in enrichment microcosms using sediments from chronically crude oil-contaminated marine sediment at Ancona harbor (Italy) amended with natural fertilizer, uric acid (UA), or ammonium (AMM). We applied the web-based AromaDeg resource using as query Illumina HiSeq meta-sequences (UA: 27,893 open reading frames; AMM: 32,180) to identify potential catabolic differences. A total of 45 (for UA) and 65 (AMM) gene sequences encoding key catabolic enzymes matched AromaDeg, and their participation in aromatic degradation reactions could be unambiguously suggested. Genomic signatures for the degradation of aromatics such as 2-chlorobenzoate, indole-3-acetate, biphenyl, gentisate, quinoline and phenanthrene were common for both microcosms. However, those for the degradation of orcinol, ibuprofen, phenylpropionate, homoprotocatechuate and benzene (in UA) and 4-aminobenzene-sulfonate, p-cumate, dibenzofuran and phthalate (in AMM), were selectively enriched. Experimental validation was conducted and good agreement with predictions was observed. This suggests certain discrepancies in action of these biostimulants on the genomic content of the initial microbial community for the catabolism of petroleum constituents or aromatics pollutants. In both cases, the emerging microbial communities were phylogenetically highly similar and were composed by very same proteobacterial families. However, examination of taxonomic assignments further revealed different catabolic pathway organization at the organismal level, which should be considered for designing oil spill mitigation strategies in the sea.http://journal.frontiersin.org/Journal/10.3389/fmicb.2015.01270/fullMediterranean SeaMetagenomicsUric AcidammoniumEnrichmentbiostimulation
collection DOAJ
language English
format Article
sources DOAJ
author Rafael eBargiela
Christoph eGertler
Mirko eMagagnini
Francesca eMapelli
Jianwei eChen
Daniele eDaffonchio
Daniele eDaffonchio
Peter eGolyshin
Manuel eFerrer
spellingShingle Rafael eBargiela
Christoph eGertler
Mirko eMagagnini
Francesca eMapelli
Jianwei eChen
Daniele eDaffonchio
Daniele eDaffonchio
Peter eGolyshin
Manuel eFerrer
Degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic data
Frontiers in Microbiology
Mediterranean Sea
Metagenomics
Uric Acid
ammonium
Enrichment
biostimulation
author_facet Rafael eBargiela
Christoph eGertler
Mirko eMagagnini
Francesca eMapelli
Jianwei eChen
Daniele eDaffonchio
Daniele eDaffonchio
Peter eGolyshin
Manuel eFerrer
author_sort Rafael eBargiela
title Degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic data
title_short Degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic data
title_full Degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic data
title_fullStr Degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic data
title_full_unstemmed Degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic data
title_sort degradation network reconstruction in uric acid and ammonium amendments in oil-degrading marine microcosms guided by metagenomic data
publisher Frontiers Media S.A.
series Frontiers in Microbiology
issn 1664-302X
publishDate 2015-11-01
description Biostimulation with different nitrogen sources is often regarded as a strategy of choice in combating oil spills in marine environments. Such environments are typically depleted in nitrogen, therefore limiting the balanced microbial utilization of carbon-rich petroleum constituents. It is fundamental, yet only scarcely accounted for, to analyse the catabolic consequences of application of biostimulants. Here, we examined such alterations in enrichment microcosms using sediments from chronically crude oil-contaminated marine sediment at Ancona harbor (Italy) amended with natural fertilizer, uric acid (UA), or ammonium (AMM). We applied the web-based AromaDeg resource using as query Illumina HiSeq meta-sequences (UA: 27,893 open reading frames; AMM: 32,180) to identify potential catabolic differences. A total of 45 (for UA) and 65 (AMM) gene sequences encoding key catabolic enzymes matched AromaDeg, and their participation in aromatic degradation reactions could be unambiguously suggested. Genomic signatures for the degradation of aromatics such as 2-chlorobenzoate, indole-3-acetate, biphenyl, gentisate, quinoline and phenanthrene were common for both microcosms. However, those for the degradation of orcinol, ibuprofen, phenylpropionate, homoprotocatechuate and benzene (in UA) and 4-aminobenzene-sulfonate, p-cumate, dibenzofuran and phthalate (in AMM), were selectively enriched. Experimental validation was conducted and good agreement with predictions was observed. This suggests certain discrepancies in action of these biostimulants on the genomic content of the initial microbial community for the catabolism of petroleum constituents or aromatics pollutants. In both cases, the emerging microbial communities were phylogenetically highly similar and were composed by very same proteobacterial families. However, examination of taxonomic assignments further revealed different catabolic pathway organization at the organismal level, which should be considered for designing oil spill mitigation strategies in the sea.
topic Mediterranean Sea
Metagenomics
Uric Acid
ammonium
Enrichment
biostimulation
url http://journal.frontiersin.org/Journal/10.3389/fmicb.2015.01270/full
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