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Community successional patterns and inter-kingdom interactions during granular biofilm development

dc.contributor.authorDe Celis Rodríguez, Miguel
dc.contributor.authorModin, Oskar
dc.contributor.authorArregui García-Rovés, Lucía
dc.contributor.authorPersson, Frank
dc.contributor.authorSantos de la Sen, Antonio
dc.contributor.authorBelda Aguilar, Ignacio
dc.contributor.authorWilén, Britt Marie
dc.contributor.authorLiébana, Raquel
dc.date.accessioned2024-11-05T16:03:28Z
dc.date.available2024-11-05T16:03:28Z
dc.date.issued2024-10
dc.description.abstractAerobic granular sludge is a compact and efficient biofilm process used for wastewater treatment which has received much attention and is currently being implemented worldwide. The microbial associations and their ecological implications occurring during granule development, especially those involving inter-kingdom interactions, are poorly understood. In this work, we monitored the prokaryote and eukaryote community composition and structure during the granulation of activated sludge for 343 days in a sequencing batch reactor (SBR) and investigated the influence of abiotic and biotic factors on the granule development. Sludge granulation was accomplished with low-wash-out dynamics at long settling times, allowing for the microbial communities to adapt to the SBR environmental conditions. The sludge granulation and associated changes in microbial community structure could be divided into three stages: floccular, intermediate, and granular. The eukaryotic and prokaryotic communities showed parallel successional dynamics, with three main sub-communities identified for each kingdom, dominating in each stage of sludge granulation. Although inter-kingdom interactions were shown to affect community succession during the whole experiment, during granule development random factors like the availability of settlement sites or drift acquired increasing importance. The prokaryotic community was more affected by deterministic factors, including reactor conditions, while the eukaryotic community was to a larger extent shaped by biotic interactions (including inter-kingdom interactions) and stochasticity.
dc.description.agreementContracts 245-2013-627 and 2018-01423
dc.description.agreementBES-2017-080024
dc.description.agreementFEMS-GO-2021-032
dc.description.departmentDepto. de Genética, Fisiología y Microbiología
dc.description.facultyFac. de Ciencias Biológicas
dc.description.refereedTRUE
dc.description.sponsorshipSwedish Research Council for Environment, Agricultural Science and Spatial Planning
dc.description.sponsorshipMinisterio de Economía, Comercio y Empresa (España)
dc.description.statuspub
dc.identifier.citationDe Celis M, Modin O, Arregui L, Persson F, Santos A, Belda I, Wilén B-M, Liébana R. Community successional patterns and inter-kingdom interactions during granular biofilm development. Npj Biofilms Microbiomes 2024;10:109. https://doi.org/10.1038/s41522-024-00581-x.
dc.identifier.doi10.1038/s41522-024-00581-x
dc.identifier.essn2055-5008
dc.identifier.officialurlhttps://doi.org/10.1038/s41522-024-00581-x
dc.identifier.relatedurlhttps://www.nature.com/articles/s41522-024-00581-x#rightslink
dc.identifier.urihttps://hdl.handle.net/20.500.14352/110026
dc.journal.titlenpj Biofilms and Microbiomes
dc.language.isoeng
dc.page.final12
dc.page.initial1
dc.publisherSpringer Nature
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//CTM2016-76491-P/ES
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu576.85
dc.subject.cdu628.354
dc.subject.ucmMicrobiología (Biología)
dc.subject.ucmBiotecnología
dc.subject.unesco2414 Microbiología
dc.subject.unesco3308.10 Tecnología de Aguas Residuales
dc.titleCommunity successional patterns and inter-kingdom interactions during granular biofilm development
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number10
dspace.entity.typePublication
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relation.isAuthorOfPublication6da0734a-6233-4213-bb81-2e3a6c41b089
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relation.isAuthorOfPublication.latestForDiscovery2b5f69d3-37dd-493b-ac51-fd2137f913c4

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