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"study-abstract": "Microbial communities have an indigenous and strong potential to acclimatize to different substrates. Anaerobic bioreactors can be used for not only treating several waste streams, but also converting them into valuable products including energy. The resulting product of anaerobic reduction of the organic matter is biogas, whose high content in methane provides it a high energetic potential. Among the different sources of organic matter that can be converted into energy are the microalgae. These microorganisms are a promising renewable source as a biofuel as their culture has a low environmental footprint. The main bottleneck for their use in full scale biogas-producing systems is their disruption, as their cell wall bodies are often hard to hydrolyze. This study focuses on the analysis of different anaerobic bioreactors treating microalgae biomass. Microbial analysis of the communities involved in this process provides valuable information about relevant microorganisms that enhance the microalgae disruption. Several phylotypes have been revealed in this study after taxonomic assignment of the open reference clusters found after 16S rRNA gene amplicon sequencing analysis.",
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"study-abstract": "The microbial community responsible for the biogas-producing anaerobic digestion (AD) process used to recover energy from waste is poorly characterised and likely contains many organisms not required for gas generation. Metagenomics approaches offer insights into AD communities that could potentially be exploited to improve the conversion of biomass to biogas, but distinguishing between the biological and technical variability of samples from different sources makes generalisation of results challenging. To determine how different DNA extraction methodologies and sequencing approaches influence the perceived microbiome, we analysed technical replicates of 16S rRNA amplicons and whole shotgun metagenomes from different AD systems. Here we show that diversity measurements of the microbiome in AD samples were strongly influenced by extraction regimes and analysis methodology. 16S rRNA amplification resulted in over- and under-estimation of several taxonomic phyla compared to a PCR-free metagenomics approach. Samples extracted using mechanical methods displayed significantly lower diversity and fewer observed phylotypes than samples extracted by chemical and thermal lysis, which produced higher molecular weight DNA and showed the greatest diversity in community profiles. Our results highlight that the most commonly used extraction and analysis protocols provide a skewed view of the diversity and species richness of the AD microbiome which is likely to extent to other samples. We suggest that methodological differences could be a significant source of variability among AD, and other, metagenomics studies.",
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"last-update": "2017-03-16T09:03:51",
"secondary-accession": "ERP008939",
"centre-name": "ULM UNIVERSITY",
"public-release-date": null,
"study-abstract": "Numerous observations indicate a high flexibility of microbial communities in different biogas reactors during anaerobic digestion. Here we describe our findings regarding the functional redundancy and similarity of involved microorganisms in four continuously-stirred tank lab-scale biogas reactors (CSTRs, 39 ?C, 12 L volume) supplied with different mixtures of sugar beet silage (SBS) and maize silage (MS) resulting in similar biogas yields in all reactors. CSTRs were set-up with inoculum from a full-scale biogas plant, fed with mixtures of MS and SBS in the ratios of 1:0 (CF1), 6:1 (CF2), 3:1 (CF3), 1:3 (CF4) with equal organic loading rates (OLR 1.25 kg VS m-3 d-1) and operated for 140 d. The compositions of bacterial and archaeal communities degrading the different substrate mixtures were analyzed by 454 amplicon sequencing approach based on 16S rRNA genes. Both bacterial and archaeal communities shifted with increasing amounts of SBS. As the compositional shifts within the microbial communities did not influence the respective biogas production, similar process dynamics indicate functional redundant archaeal and functional similar bacterial communities in each individual CSTR.",
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"last-update": "2017-01-16T10:19:32",
"secondary-accession": "ERP014444",
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"study-abstract": "Towards the core microbiome for a thermophilic biogas plant applying metagenome and metatranscriptome analyses complemented by cultivation and characterization if isolates for major functional groups.",
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