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Long-read 16S amplicon analyses and improved cultivation techniques as joined approach for the identification of viable bacterial populations in silage

dc.contributor.authorFlegler, Wanda Antonia
dc.contributor.authorBehrens, Freya
dc.contributor.authorSturmhöfel, Anne Theresa
dc.contributor.authorSonntag, Miriam
dc.contributor.authorSchmitt, Lisa
dc.contributor.authorRang, Kristin
dc.contributor.authorDeeken, Hauke Ferdinand
dc.contributor.authorSun, Yurui
dc.contributor.authorMaack, Gerd-Christian
dc.contributor.authorBüscher, Wolfgang
dc.contributor.authorBaer, Mareike
dc.contributor.authorLipski, André
dc.date.accessioned2025-11-13T10:51:44Z
dc.date.available2025-11-13T10:51:44Z
dc.date.issued14.06.2025
dc.identifier.urihttps://hdl.handle.net/20.500.11811/13676
dc.description.abstractAims: Lactic acid bacteria (LAB) are crucial for the quality and preservation of silage. Exploration and isolation of the key microbiome are important for improving fermentation processes. While cultivation-dependent methods enable the isolation of LAB, they often overlook organisms with challenging cultivation requirements. Next-generation sequencing provides cultivation-independent microbiome insights. In contrast to commonly used methods, long-read sequencing platforms like the Pacific Biosciences (PacBio) single-molecule real-time (SMRT) platform offer species-level resolution. This study aims to investigate the benefits of a combined cultivation-dependent and -independent approach for silage microbiome analyses.
Methods and results: The common isolation medium for LAB was supplemented with sterile pressed juice from plant material improving the cultivation conditions. PacBio amplicon sequencing provided an almost complete and cultivation-independent picture of the bacterial community. The use of mock communities and a live/dead discriminating treatment of the samples revealed that the analysis can be misleading if appropriate controls are not performed.
Conclusion: Growth of plant-associated microorganisms can be supported by a plant juice containing isolation medium, allowing isolation of the dominant LAB from silage. Microbial dynamics can be represented using long-read sequencing. However, the use of controls such as a live/dead discrimination and mock communities is essential for the reliability of the data.
en
dc.format.extent11
dc.language.isoeng
dc.rightsNamensnennung 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmicrobiome
dc.subjectamplicon sequencing
dc.subjectisolation
dc.subjectlactic acid bacteria
dc.subjectagriculture microbiology
dc.subject.ddc570 Biowissenschaften, Biologie
dc.subject.ddc610 Medizin, Gesundheit
dc.titleLong-read 16S amplicon analyses and improved cultivation techniques as joined approach for the identification of viable bacterial populations in silage
dc.typeWissenschaftlicher Artikel
dc.publisher.nameOxford University Press
dc.publisher.locationOxford
dc.rights.accessRightsopenAccess
dcterms.bibliographicCitation.volume2025, vol. 136
dcterms.bibliographicCitation.issueiss. 7, lxaf151
dcterms.bibliographicCitation.pagestart1
dcterms.bibliographicCitation.pageend11
dc.relation.doihttps://doi.org/10.1093/jambio/lxaf151
dcterms.bibliographicCitation.journaltitleJournal of applied microbiology
ulbbn.pubtypeZweitveröffentlichung
dc.versionpublishedVersion
ulbbn.sponsorship.oaUnifundOA-Förderung Universität Bonn


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