References of "Calusinska, Magdalena"
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See detailA year of monitoring 20 mesophilic full-scale bioreactors reveals the existence of stable but different core microbiomes in bio-waste and wastewater anaerobic digestion systems.
Calusinska, Magdalena; Goux, Xavier; Fossepre, Marie et al

in Biotechnology for biofuels (2018), 11

Background: Anaerobic digestion (AD) is a microbe-driven process of biomass decomposition to CH4 and CO2. In addition to renewable and cost-effective energy production, AD has emerged in the European ... [more ▼]

Background: Anaerobic digestion (AD) is a microbe-driven process of biomass decomposition to CH4 and CO2. In addition to renewable and cost-effective energy production, AD has emerged in the European Union as an environmentally friendly model of bio-waste valorisation and nutrient recycling. Nevertheless, due to the high diversity of uncharacterised microbes, a typical AD microbiome is still considered as "dark matter". Results: Using the high-throughput sequencing of small rRNA gene, and a monthly monitoring of the physicochemical parameters for 20 different mesophilic full-scale bioreactors over 1 year, we generated a detailed view of AD microbial ecology towards a better understanding of factors that influence and shape these communities. By studying the broadly distributed OTUs present in over 80% of analysed samples, we identified putatively important core bacteria and archaea to the AD process that accounted for over 70% of the whole microbial community relative abundances. AD reactors localised at the wastewater treatment plants were shown to operate with distinct core microbiomes than the agricultural and bio-waste treating biogas units. We also showed that both the core microbiomes were composed of low (with average community abundance </= 1%) and highly abundant microbial populations; the vast majority of which remains yet uncharacterised, e.g. abundant candidate Cloacimonetes. Using non-metric multidimensional scaling, we observed microorganisms grouping into clusters that well reflected the origin of the samples, e.g. wastewater versus agricultural and bio-waste treating biogas units. The calculated diversity patterns differed markedly between the different community clusters, mainly due to the presence of highly diverse and dynamic transient species. Core microbial communities appeared relatively stable over the monitoring period. Conclusions: In this study, we characterised microbial communities in different AD systems that were monitored over a 1-year period. Evidences were shown to support the concept of a core community driving the AD process, whereas the vast majority of dominant microorganisms remain yet to be characterised. [less ▲]

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See detailICoVeR - an interactive visualization tool for verification and refinement of metagenomic bins.
Broeksema, Bertjan; Calusinska, Magdalena; McGee, Fintan et al

in BMC bioinformatics (2017), 18(1), 233

BACKGROUND: Recent advances in high-throughput sequencing allow for much deeper exploitation of natural and engineered microbial communities, and to unravel so-called "microbial dark matter" (microbes ... [more ▼]

BACKGROUND: Recent advances in high-throughput sequencing allow for much deeper exploitation of natural and engineered microbial communities, and to unravel so-called "microbial dark matter" (microbes that until now have evaded cultivation). Metagenomic analyses result in a large number of genomic fragments (contigs) that need to be grouped (binned) in order to reconstruct draft microbial genomes. While several contig binning algorithms have been developed in the past 2 years, they often lack consensus. Furthermore, these software tools typically lack a provision for the visualization of data and bin characteristics. RESULTS: We present ICoVeR, the Interactive Contig-bin Verification and Refinement tool, which allows the visualization of genome bins. More specifically, ICoVeR allows curation of bin assignments based on multiple binning algorithms. Its visualization window is composed of two connected and interactive main views, including a parallel coordinates view and a dimensionality reduction plot. To demonstrate ICoVeR's utility, we used it to refine disparate genome bins automatically generated using MetaBAT, CONCOCT and MyCC for an anaerobic digestion metagenomic (AD microbiome) dataset. Out of 31 refined genome bins, 23 were characterized with higher completeness and lower contamination in comparison to their respective, automatically generated, genome bins. Additionally, to benchmark ICoVeR against a previously validated dataset, we used Sharon's dataset representing an infant gut metagenome. CONCLUSIONS: ICoVeR is an open source software package that allows curation of disparate genome bins generated with automatic binning algorithms. It is freely available under the GPLv3 license at https://git.list.lu/eScience/ICoVeR . The data management and analytical functions of ICoVeR are implemented in R, therefore the software can be easily installed on any system for which R is available. Installation and usage guide together with the example files ready to be visualized are also provided via the project wiki. ICoVeR running instance preloaded with AD microbiome and Sharon's datasets can be accessed via the website. [less ▲]

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See detailA 16S rRNA gene Illumina–based barcoded assay design for high throughput characterisation of microbial communities from anaerobic digesters
Calusinska, Magdalena; Goux, Xavier; Muller, Emilie UL et al

Poster (2014)

High throughput sequencing of 16S/18S rRNA gene is becoming an indispensable tool to explore microbial community ecology. To date, most of the studies using next generation amplicon sequencing of ... [more ▼]

High throughput sequencing of 16S/18S rRNA gene is becoming an indispensable tool to explore microbial community ecology. To date, most of the studies using next generation amplicon sequencing of microorganisms involved in the anaerobic digestion process (AD) are based on the 454 pyrosequencing. However, the cost per read obtained with the Illumina technology is currently less than 1/100 of that for the 454 pyrosequencing, thus enabling throughout sequencing and larger number of samples to be analysed per study (e.g. given the current Miseq output, around 100 000 reads per sample can be expected for a pool of 96 libraries). Moreover, the Illumina technology is less biased by the GC content of the template and currently allows for a relatively long sequence read of 600 bp (2 x 300bp). This consideration is particularly important, since longer sequences permit for more accurate assignment to a taxonomic group. Here, we designed and optimized an Illumina–based 16S rRNA amplicon approach for a high throughput characterization of microbial communities from different AD. [less ▲]

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