AI Article Synopsis
- Flow cytometry (FCM) is a valuable technique for analyzing microbial diversity and has been applied to assess the effectiveness of bioaugmentation in enhancing the cellulolytic potential of landfill leachate.
- Experimental results show a notable increase in cellulolytic capabilities after bioaugmentation, and FCM is used to monitor changes in microbial dynamics during the process.
- While both cytometric analysis and 16S rRNA gene sequencing provide insights into microbial community dynamics, they do not always correlate at the genus or species level, suggesting FCM could be a reliable, on-site method for monitoring microbial community stability in bioprocesses.
Article Abstract
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.
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| http://dx.doi.org/10.1016/j.biortech.2016.04.131 | DOI Listing |
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