IN SILICO STRUCTURING OF SUBSTRATE-DRIVEN MICROBIOMES FOR BIOENERGY OPTIMIZATION IN ANAEROBIC DIGESTERS
DOI:
https://doi.org/10.20873/vol13n3pibic202529Palavras-chave:
digestão anaeróbia, metagenômica, bioinformática, microbioma, bioenergiaResumo
The valorization of agro-industrial residues for bioenergy production is a crucial strategy for the circular economy in hubs such as the Brazilian Cerrado. This study performed an in silico meta-analysis of 564 16S rRNA amplicon sequencing samples from 16 studies to decipher the relationship between biomass type and the functional structure of the microbiome in anaerobic digesters, aiming to support the design of optimized systems. Using a robust bioinformatics pipeline, it was demonstrated that substrate type is the main selective factor of the microbial community, with PERMANOVA confirming significant structuring across all beta diversity metrics (p = 0.001), particularly via phylogenetic metrics (weighted UniFrac pseudo-F = 10.14). Distinct taxonomic signatures were revealed across substrate categories: Hydrothermae dominated algal biomass digesters (11.94%), MBA03 prevailed in lignocellulosic substrates (14.28%), Thermovirga characterized vinasse systems (8.95%), and Methanosarcina reached exceptional abundance in food waste (21.76%), compared to a global mean of 4.95%. Despite this high specialization, the fraction of unclassified sequences reached 26.96% globally, pointing to a still largely unresolved microbial diversity in these ecosystems. It is concluded that this computational prospecting provides a predictive roadmap for the engineering of microbial consortia, enabling a transition toward targeted biodigester management. The study provides essential knowledge for the rational design of biodigesters and accelerates the development of sustainable bioenergy solutions for the region.
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