Environmental proteomics as a useful methodology for early-stage detection of stress in anammox engineered systems

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Químicaes_ES
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorGuzmán-Fierro, Víctor
dc.contributor.authorDiéguez-Seoane, Alberto
dc.contributor.authorRoeckel, Marlene
dc.contributor.authorLema Rodicio, Juan Manuel
dc.contributor.authorTrueba Santiso, Alba María
dc.date.accessioned2024-03-13T12:50:07Z
dc.date.available2024-03-13T12:50:07Z
dc.date.issued2024
dc.description.abstractAnammox bacteria are widely applied worldwide for denitrification of urban wastewater. Differently, their application in the case of industrial effluents has been more limited. Those frequently present high loads of contaminants, demanding an individual evaluation of their treatability by anammox technologies. Bioreactors setting up and recovery after contaminants-derived perturbations are slow. Also, toxicity is frequently not acute but cumulative, which causes negative macroscopic effects to appear only after medium or long-term operations. All these particularities lead to relevant economic and time losses. We hypothesized that contaminants cause changes at anammox proteome level before perturbations in the engineered systems are detectable by macroscopic analyses. In this study, we explored the usefulness of short-batch tests combined with environmental proteomics for the early detection of those changes. Copper was used as a model of stressor contaminant, and anammox granules were exposed to increasing copper concentrations including previously reported IC50 values. The proteomic results revealed that specific anammox proteins involved in stress response (bacterioferritin, universal stress protein, or superoxide dismutase) were overexpressed in as short a time as 28 h at the higher copper concentrations. Consequently, EPS production was also increased, as indicated by the alginate export family protein, polysaccharide biosynthesis protein, and sulfotransferase increased expression. The described workflow can be applied to detect early-stage stress biomarkers of the negative effect of other metals, organics, or even changes in physical-chemical parameters such as pH or temperature on anammox-engineered systems. On an industrial level, it can be of great value for decision-making, especially before dealing with new effluents on facilities, deriving important economic and time savings.es_ES
dc.description.peerreviewedSIes_ES
dc.description.sponsorshipMarlene Roeckel and Víctor Guzmán-Fierro were supported by Agencia Nacional de Investigación y Desarrollo [1200583 (FONDECYT) and 2018-21180541]. Juan M. Lema Rodicio and Alba Trueba-Santiso belong to the Galician Competitive Research Group (GRC) ED431C-2021/37. Alba Trueba-Santiso acknowledges a Juan de la Cierva-Formación postdoctoral Grant (FJC2019-041664-I).es_ES
dc.identifier.citationScience of The Total Environment Volume 912, 20 February 2024, 169349es_ES
dc.identifier.doi10.1016/j.scitotenv.2023.169349
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10347/33167
dc.journal.titleScience of The Total Environment
dc.language.isoenges_ES
dc.page.initial169349
dc.rights© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC licensees_ES
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAnammox processes_ES
dc.subjectIndustrial effluentses_ES
dc.subjectNitrogen removales_ES
dc.subjectProteomicses_ES
dc.subjectStress-monitoringes_ES
dc.subjectWastewater treatabilityes_ES
dc.titleEnvironmental proteomics as a useful methodology for early-stage detection of stress in anammox engineered systemses_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dc.volume.number912
dspace.entity.typePublication
relation.isAuthorOfPublication9fbac3ef-9f34-48d3-ad2a-afc25f286f08
relation.isAuthorOfPublicationc388e401-0501-47be-bab5-a0ba98eb09b4
relation.isAuthorOfPublication.latestForDiscovery9fbac3ef-9f34-48d3-ad2a-afc25f286f08

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