Water research · 2026
Resolving metabolic interdependencies during chlorobenzene dechlorination in a Dehalobacter-containing community.
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Scott William T, Jácome Luz A Puentes, Nijsse Bart, Wang Jinsong, Stouten Gerben R, Koehorst Jasper J, Smidt Hauke, Edwards Elizabeth A, Schaap Peter J, Kleerebezem Robbert
Аннотация
Chlorinated benzenes are persistent groundwater contaminants whose anaerobic transformation can depend on organohalide-respiring microorganisms embedded within metabolically interconnected communities. Here, we asked which microorganisms and metabolic functions characterize a Dehalobacter-containing dechlorinating community, and whether bioinformatics and genome-resolved metabolic modeling could identify candidate interactions supporting organohalide respiration. To address these questions, we integrated dechlorination data from related Dehalobacter-containing enrichment lineages with genome-resolved metagenomics and constraint-based modeling. Transformation of 1,2,4-trichlorobenzene (TCB) to dichlorobenzenes and monochlorobenzene (MCB) was observed in one enrichment lineage, whereas MCB transformation to benzene was observed in a related lineage; in the latter, benzene increased from 0 to 62.3μmol bottle-1 as MCB decreased from 88.3 to 22.0μmol bottle-1 over 120 days. These experiments comprised one observation unit per lineage rather than independent biological reactor replicates and therefore do not establish continuous TCB-to-benzene conversion within a single culture. Genome-resolved reconstruction identified two Dehalobacter populations among 12 community members selected for metabolic modeling. Following structural, phenotypic, and thermodynamic quality control, pairwise random flux sampling predicted a metabolically differentiated exchange network: Methanobacterium consumed H2 in all 11 pairwise models (median model-normalized flux, 22.36 mmol gDW-1 h-1), whereas Methanothrix consumed acetate in all 11 (10.16 mmol gDW-1 h-1) and released CH4 (9.51 mmol gDW-1 h-1), distinguishing hydrogenotrophic and acetoclastic methanogenic functions. Model-guided community reduction across 39 sensitivity scenarios produced objective-minimal candidate communities in 34 scenarios, predominantly bicultures with condition-dependent recruitment of a third member. A Dehalobacter member occurred in every candidate community and Methanothrix recurred across all evaluated scenarios, defining a compact model-predicted Dehalobacter-methanogen backbone rather than demonstrating biological indispensability. Together, these results distinguish observed dechlorination from genome-inferred metabolic potential and model-predicted interactions, providing experimentally testable hypotheses for metabolic dependencies that could inform more predictable anaerobic bioremediation strategies.