TY - GEN A1 - Otto, Pascal A1 - Puchol-Royo, Roser A1 - Ortega-Legarreta, Asier A1 - Tanner, Kristie A1 - Tideman, Jeroen A1 - De Vries, Sjoerd-Jan A1 - Pascual, Javier A1 - Porcar, Manuel A1 - Latorre-Pérez, Adriel A1 - Abendroth, Christian T1 - Multivariate comparison of taxonomic, chemical and operational data from 80 different full-scale anaerobic digester-related systems T2 - Biotechnology for Biofuels and Bioproducts N2 - Background: The holistic characterization of different microbiomes in anaerobic digestion (AD) systems can contribute to a better understanding of these systems and provide starting points for bioengineering. The present study investigates the microbiome of 80 European full-scale AD systems. Operational, chemical and taxonomic data were thoroughly collected, analysed and correlated to identify the main drivers of AD processes. Results: The present study describes chemical and operational parameters for a broad spectrum of different AD systems. With this data, Spearman correlation and differential abundance analyses were applied to narrow down the role of the individual microorganisms detected. The authors succeeded in further limiting the number of microorganisms in the core microbiome for a broad range of AD systems. Based on 16S rRNA gene amplicon sequencing, MBA03, Proteiniphilum, a member of the family Dethiobacteraceae, the genus Caldicoprobacter and the methanogen Methanosarcina were the most prevalent and abundant organisms identified in all digesters analysed. High ratios for Methanoculleus are often described for agricultural co-digesters. Therefore, it is remarkable that Methanosarcina was surprisingly high in several digesters reaching ratios up to 47.2%. The various statistical analyses revealed that the microorganisms grouped according to different patterns. A purely taxonomic correlation enabled a distinction between an acetoclastic cluster and a hydrogenotrophic one. However, in the multivariate analysis with chemical parameters, the main clusters corresponded to hydrolytic and acidogenic microorganisms, with SAOB bacteria being particularly important in the second group. Including operational parameters resulted in digester-type specific grouping of microbes. Those with separate acidification stood out among the many reactor types due to their unexpected behaviour. Despite maximizing the organic loading rate in the hydrolytic pretreatments, these stages turned into extremely robust methane production units. Conclusions: From 80 different AD systems, one of the most holistic data sets is provided. A very distinct formation of microbial clusters was discovered, depending on whether taxonomic, chemical or operational parameters were combined. The microorganisms in the individual clusters were strongly dependent on the respective reference parameters. KW - anaerobic digestion, 16S rRNA gene amplicon sequencing, biogas plants Y1 - 2024 U6 - https://doi.org/10.1186/s13068-024-02525-1 VL - 17 SP - 1 EP - 17 ER - TY - GEN A1 - Vidal-Verdú, Àngela A1 - Torrent, Daniel A1 - Iglesias, Alba A1 - Latorre-Pérez, Adriel A1 - Abendroth, Christian A1 - Corbín-Agustí, Paola A1 - Peretó, Juli A1 - Porcar, Manuel T1 - The highly differentiated gut of Pachnoda marginata hosts sequential microbiomes: microbial ecology and potential applications T2 - npj Biofilms and Microbiomes N2 - Insect gut microbiomes play a crucial role in the insect development and are shaped, among other factors, by the specialized insect diet habits as well as the morphological structure of the gut. Rose chafers (Pachnoda spp.; Coleoptera: Scarabaeidae) have a highly differentiated gut characterized by a pronounced hindgut dilation which resembles a miniaturized rumen. Specifically, the species Pachnoda marginata has not been previously studied in detail in terms of microbial ecology. Here, we show a fine scale study of the highly compartmentalized gut of P. marginata by using amplicon and metagenomic sequencing to shed light on the bacterial, archaeal and fungal communities thriving in each section of the gut. We found a microbial gradient along the gut from aerobic (foregut) to strictly anaerobic communities (hindgut). In addition, we have characterized interesting biological activities and metabolic pathways of gut microbial communities related to cellulose degradation, methane production and sulfate reduction. Taken together, our results reveal the highly diverse microbial community and the potential of P. marginata gut as a source of industrially relevant microbial diversity. Y1 - 2024 U6 - https://doi.org/10.1038/s41522-024-00531-7 SN - 2055-5008 VL - 10 IS - 1 PB - Springer Science and Business Media LLC ER - TY - GEN A1 - Otto, Pascal A1 - Alipoursarbani, Mozhdeh A1 - Torrent, Daniel A1 - Latorre-Pérez, Adriel A1 - Paust, Thomas A1 - Albert, Alfred A1 - Abendroth, Christian T1 - Microbiome Characterization after Aerobic Digestate Reactivation of Anaerobically Digested Sewage Sludge T2 - Fermentation N2 - A demonstrator plant of a recently patented process for improved sludge degradation has been implemented on a municipal scale. In a 1500 m3 sewage sludge digester, an intermediary stage with aerobic sewage sludge reactivation was implemented. This oxic activation increased the biogas yield by up to 55% with a 25% reduction of the remaining fermentation residue volume. Furthermore, this process allowed an NH4-N removal of over 90%. Additionally, 16S rRNA gene amplicon high-throughput sequencing of the reactivated digestate showed a reduced number of methane-forming archaea compared to the main digester. Multiple ammonium-oxidizing bacteria were detected. This includes multiple genera belonging to the family Chitinophagaceae (the highest values reached 18.8% of the DNA sequences) as well as a small amount of the genus Candidatus nitrosoglobus (<0.3%). In summary, the process described here provides an economically viable method to eliminate nitrogen from sewage sludge while achieving higher biogas yields and fewer potential pathogens in the residuals. KW - anaerobic digestion KW - anaerobic microbiomes KW - aerobic sludge activation KW - 16S rRNA sequencing KW - water treatment Y1 - 2023 U6 - https://doi.org/10.3390/fermentation9050471 SN - 2311-5637 VL - 9 IS - 5 ER -