Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107518
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dc.contributor.authorSantillan, Ezequielen
dc.contributor.authorSeshan, Harien
dc.contributor.authorConstancias, Florentinen
dc.contributor.authorWuertz, Stefanen
dc.date.accessioned2019-10-31T06:40:20Zen
dc.date.accessioned2019-12-06T22:33:03Z-
dc.date.available2019-10-31T06:40:20Zen
dc.date.available2019-12-06T22:33:03Z-
dc.date.issued2019en
dc.identifier.citationSantillan, E., Seshan, H., Constancias, F., & Wuertz, S. (2019). Trait‐based life‐history strategies explain succession scenario for complex bacterial communities under varying disturbance. Environmental Microbiology, 21(10), 3751-3764. doi:10.1111/1462-2920.14725en
dc.identifier.issn1462-2912en
dc.identifier.urihttps://hdl.handle.net/10356/107518-
dc.identifier.urihttp://hdl.handle.net/10220/50305en
dc.description.abstractTrait‐based approaches are increasingly gaining importance in community ecology, as a way of finding general rules for the mechanisms driving changes in community structure and function under the influence of perturbations. Frameworks for life‐history strategies have been successfully applied to describe changes in plant and animal communities upon disturbance. To evaluate their applicability to complex bacterial communities, we operated replicated wastewater treatment bioreactors for 35 days and subjected them to eight different disturbance frequencies of a toxic pollutant (3‐chloroaniline), starting with a mixed inoculum from a full‐scale treatment plant. Relevant ecosystem functions were tracked and microbial communities assessed through metagenomics and 16S rRNA gene sequencing. Combining a series of ordination, statistical and network analysis methods, we associated different life‐history strategies with microbial communities across the disturbance range. These strategies were evaluated using tradeoffs in community function and genotypic potential, and changes in bacterial genus composition. We further compared our findings with other ecological studies and adopted a semi‐quantitative competitors, stress‐tolerants, ruderals (CSR) classification. The framework reduces complex data sets of microbial traits, functions and taxa into ecologically meaningful components to help understand the system response to disturbance and hence represents a promising tool for managing microbial communities.en
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en
dc.description.sponsorshipMOE (Min. of Education, S’pore)en
dc.language.isoenen
dc.relation.ispartofseriesEnvironmental Microbiologyen
dc.rights© 2019 Society for Applied Microbiology and John Wiley & Sons Ltd. All rights reserved.en
dc.subjectTrait-baseden
dc.subjectBacterial Communitiesen
dc.subjectScience::Biological sciencesen
dc.titleTrait‐based life‐history strategies explain succession scenario for complex bacterial communities under varying disturbanceen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Civil and Environmental Engineeringen
dc.contributor.researchSingapore Centre for Environmental Life Sciences and Engineeringen
dc.identifier.doi10.1111/1462-2920.14725en
item.fulltextNo Fulltext-
item.grantfulltextnone-
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