Abstract:
The obstacle to optimal utilization of biogas technology is poor understanding of biogas
microbiomes diversities over a wide geographical coverage. We performed random shotgun
sequencing on twelve environmental samples. Randomized complete block design was uti-
lized to assign the twelve treatments to four blocks, within eastern and central regions of
Kenya. We obtained 42 million paired-end reads that were annotated against sixteen refer-
ence databases using two ENVO ontologies, prior to β-diversity studies. We identified 37
phyla, 65 classes and 132 orders. Bacteria dominated and comprised 28 phyla, 42 classes
and 92 orders, conveying substrate’s versatility in the treatments. Though, Fungi and
Archaea comprised 5 phyla, the Fungi were richer; suggesting the importance of hydrolysis
and fermentation in biogas production. High β-diversity within the taxa was largely linked to
communities’ metabolic capabilities. Clostridiales and Bacteroidales, the most prevalent
guilds, metabolize organic macromolecules. The identified Cytophagales, Alteromonadales,
Flavobacteriales, Fusobacteriales, Deferribacterales, Elusimicrobiales, Chlamydiales,
Synergistales to mention but few, also catabolize macromolecules into smaller substrates to
conserve energy. Furthermore, δ-Proteobacteria, Gloeobacteria and Clostridia affiliates
syntrophically regulate PH2 and reduce metal to provide reducing equivalents. Methanomi-
crobiales and other Methanomicrobia species were the most prevalence Archaea, convert-
ing formate, CO2(g), acetate and methylated substrates into CH4(g). Thermococci,
Thermoplasmata and Thermoprotei were among the sulfur and other metal reducing
Archaea that contributed to redox balancing and other metabolism within treatments.
Eukaryotes, mainly fungi were the least abundant guild, comprising largely Ascomycota and
Basidiomycota species. Chytridiomycetes, Blastocladiomycetes and Mortierellomycetes
were among the rare species, suggesting their metabolic and substrates limitations. Gener-
ally, we observed that environmental and treatment perturbations influenced communities’
abundance, β-diversity and reactor performance largely through stochastic effect. Understanding diversity of biogas microbiomes over wide environmental variables and its’
productivity provided insights into better management strategies that ameliorate biochemi-
cal limitations to effective biogas production.