Flow cytometry community fingerprinting and amplicon sequencing for the assessment of landfill leachate cellulolytic bioaugmentation
| Autor: | Frank Delvigne, Philippe Thonart, Bernard Taminiau, Gaël Dumont, Phidias Dzaomuho, Jonathan Baert, Georges Daube, Carine Nezer, Romain Kinet, Yves Brostaux, Frédéric Nguyen |
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| Rok vydání: | 2016 |
| Předmět: |
DNA
Bacterial 0301 basic medicine Bioaugmentation Environmental Engineering 030106 microbiology Bioengineering Biology Cell technology Flow cytometry 03 medical and health sciences Bioreactors medicine Leachate Cellulose Waste Management and Disposal medicine.diagnostic_test Renewable Energy Sustainability and the Environment business.industry Gene Amplification Sequence Analysis DNA General Medicine Flow Cytometry DNA Fingerprinting Biotechnology 030104 developmental biology 16s rrna gene sequencing Amplicon sequencing Community Fingerprinting business Cytometry Water Pollutants Chemical Environmental Monitoring |
| Zdroj: | Bioresource Technology. 214:450-459 |
| ISSN: | 0960-8524 |
| Popis: | Flow cytometry (FCM) is a high throughput single cell technology that is actually becoming widely used for studying phenotypic and genotypic diversity among microbial communities. This technology is considered in this work for the assessment of a bioaugmentation treatment in order to enhance cellulolytic potential of landfill leachate. The experimental results reveal the relevant increase of leachate cellulolytic potential due to bioaugmentation. Cytometric monitoring of microbial dynamics along these assays is then realized. The flow FP package is used to establish microbial samples fingerprint from initial 2D cytometry histograms. This procedure allows highlighting microbial communities' variation along the assays. Cytometric and 16S rRNA gene sequencing fingerprinting methods are then compared. The two approaches give same evidence about microbial dynamics throughout digestion assay. There are however a lack of significant correlation between cytometric and amplicon sequencing fingerprint at genus or species level. Same phenotypical profiles of microbiota during assays matched to several 16S rRNA gene sequencing ones. Flow cytometry fingerprinting can thus be considered as a promising routine on-site method suitable for the detection of stability/variation/disturbance of complex microbial communities involved in bioprocesses. |
| Databáze: | OpenAIRE |
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