Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/43793
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dc.contributor.authorNguyen, Thu Haen
dc.contributor.authorTang, Fiona H Men
dc.contributor.authorMaggi, Federicoen
dc.date.accessioned2022-02-23T03:23:13Z-
dc.date.available2022-02-23T03:23:13Z-
dc.date.issued2017-10-
dc.identifier.citationJournal of Geophysical Research: Earth Surface, 122(10), p. 1794-1807en
dc.identifier.issn2169-9011en
dc.identifier.issn2169-9003en
dc.identifier.urihttps://hdl.handle.net/1959.11/43793-
dc.description.abstract<p>Microbial processes can make substantial differences to the way in which particles settle in aquatic environments. A novel method (OMCEC, optical measurement of cell colonization) is introduced to systematically map the biological spatial distribution over individual suspended sediment aggregates settling through a water column. OMCEC was used to investigate (1) whether a carbon source concentration has an impact on cell colonization, (2) how cells colonize minerals, and (3) if a correlation between colonization patterns and aggregate geometry exists. Incubations of <i>Saccharomyces cerevisiae</i> and stained montmorillonite at four sucrose concentrations were tested in a settling column equipped with a full-color microparticle image velocimetry system. The acquired high-resolution images were processed to map the cell distribution on aggregates based on emission spectra separation. The likelihood of cells colonizing minerals increased with increasing sucrose concentration. Colonization patterns were classified into (i) scattered, (ii) well touched, and (iii) poorly touched, with the second being predominant. Cell clusters in well-touched patterns were found to have lower capacity dimension than those in other patterns, while the capacity dimension of the corresponding aggregates was relatively high. A strong correlation of colonization patterns with aggregate biomass fraction and properties suggests dynamic colonization mechanisms from cell attachment to minerals, to joining of isolated cell clusters, and finally cell growth over the entire aggregate. This paper introduces a widely applicable method for analyses of microbial-affected sediment dynamics and highlights the microbial control on aggregate geometry, which can improve the prediction of large-scale morphodynamics processes.</p>en
dc.languageenen
dc.publisherWiley-Blackwell Publishing, Incen
dc.relation.ispartofJournal of Geophysical Research: Earth Surfaceen
dc.titleOptical Measurement of Cell Colonization Patterns on Individual Suspended Sediment Aggregatesen
dc.typeJournal Articleen
dc.identifier.doi10.1002/2017JF004263en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameThu Haen
local.contributor.firstnameFiona H Men
local.contributor.firstnameFedericoen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailftang2@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage1794en
local.format.endpage1807en
local.identifier.scopusid85031406671en
local.peerreviewedYesen
local.identifier.volume122en
local.identifier.issue10en
local.access.fulltextYesen
local.contributor.lastnameNguyenen
local.contributor.lastnameTangen
local.contributor.lastnameMaggien
dc.identifier.staffune-id:ftang2en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/43793en
local.date.onlineversion2017-10-13-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleOptical Measurement of Cell Colonization Patterns on Individual Suspended Sediment Aggregatesen
local.relation.fundingsourcenoteThis project was supported by the Civil Engineering Research and Development Scheme 2015 (CERDS) of University of Sydney.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorNguyen, Thu Haen
local.search.authorTang, Fiona H Men
local.search.authorMaggi, Federicoen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/022dad09-9c5e-4275-90cb-250803947eb5en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2017en
local.year.published2017en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/022dad09-9c5e-4275-90cb-250803947eb5en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/022dad09-9c5e-4275-90cb-250803947eb5en
local.subject.for2020410402 Environmental assessment and monitoringen
local.subject.seo2020180301 Assessment and management of freshwater ecosystemsen
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School of Environmental and Rural Science
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