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Arreola-Vargas, J.

Publications and source records attributed to Arreola-Vargas, J..

2 recordsLinked to original sources

Aerobic GenX Defluorination by a Wastewater Cladosporium halotolerans Strain with a Genomically Expanded Haloacid Dehalogenase Repertoire

Per- and polyfluoroalkyl substances (PFAS) such as GenX (HFPO-DA) are aerobically recalcitrant contaminants for which biological treatment options remain scarce; the best-characterized microbial degraders require strictly anaerobic conditions and external cofactors. We isolated Cladosporium halotolerans strain CsHGX-1 from activated sludge at a municipal wastewater treatment plant using GenX as the sole carbon source. Whole-genome sequencing (32.4 Mb; 11,201 genes) revealed a PFAS-degradation gene repertoire substantially expanded relative to congeneric Cladosporium species, including 26 dehalogenases (four type-II haloacid dehalogenases, HADs), 141 cytochrome P450s, and 558 esterases/hydrolases. Under aerobic conditions with GenX (50 mg L-1) as the sole carbon source, strain CsHGX-1 removed 47.6 {+/-} 1.7% of GenX within 48 h, accompanied by fluoride release (0.079 {+/-} 0.018 mM) that was absent in abiotic controls, confirming genuine C-F bond cleavage. Time-resolved RNA sequencing (0, 6, 24, 48 h; n = 6 biological replicates) revealed a phase-structured transcriptional program: oxidative genes, including cytochrome P450s, peaked first (6 h; up to 25.4-fold), hydroxylation and reactive-oxygen-species-management genes peaked next (24 h; up to 33.5-fold), and the three type-II HAD genes peaked last (48 h; up to 50.9-fold), coincident with fluoride accumulation. A parallel resazurin metabolic assay over 5 days confirmed sustained catabolic activity in GenX-exposed cultures relative to controls (1.37-1.52-fold; p [≤] 0.003). These findings identify strain CsHGX-1 as, to our knowledge, the first Ascomycete fungus for which genomic and transcriptomic evidence links oxidative activation to haloacid-dehalogenase-mediated defluorination of an aerobically recalcitrant PFAS, extending the known diversity of fungal PFAS degraders beyond Basidiomycota white-rot taxa. IMPORTANCEGenX is a PFAS "replacement" chemical that the U.S. Environmental Protection Agency added to its list of hazardous constituents in 2024, yet no aerobic biological treatment exists for it: every well-characterized microbial degrader requires oxygen-free conditions and added cofactors. We show that a fungus recovered from ordinary wastewater sludge breaks down GenX while using oxygen, the same conditions already used in conventional treatment plants, with no nutrient or reductant supplementation. Genome sequencing showed why this strain is unusual: it carries far more dehalogenase and cytochrome P450 genes than its close relatives. Time-course RNA sequencing showed these genes switch on in a defined order, oxidation first, then carbon-fluorine bond cleavage, matching the appearance of free fluoride in the culture. This links genome content to a functional outcome in an Ascomycete fungus, suggesting aerobic fungal defluorinators may already be present, unrecognized, in engineered wastewater systems.

microbiology↗

Machine Learning-Guided Synthetic Microbial Communities Enable Functional and Sustainable Degradation of Persistent Environmental Pollutants

Persistent environmental pollutants demand the use of diverse microbial metabolic capabilities for effective degradation. While naturally occurring consortia or single strains often fall short in efficiency, synthetic microbial communities (SynComs) hold greater promise for enhanced degradation. To address this challenge, we developed GENIA (Genomically and Environmentally Networked Intelligent Assemblies), a genome-informed and machine learning-guided framework for the rational design of SynComs capable of multi-pollutant degradation under simulated environmental conditions. Using a microfluidic high-throughput cultivation platform, 2,155 bacterial strains were isolated from xenobiotic-enriched environments and screened for pollutant-specific growth. Whole-genome sequencing and functional annotation of 45 prioritized strains revealed metabolic traits associated with the potential degradation of challenging persistent environmental pollutants as proof of concept, i.e., lignin oxidation, atrazine dechlorination, and PFAS defluorination. These genomic profiles were encoded into spline-based graph representations and integrated within the GENIA pipeline, which combines graph neural networks, pathway complementarity modeling, and functional redundancy minimization to predict optimal community assemblies. The resulting nine-member community--comprising Pantoea dispersa, Atlantibacter hermannii, Pseudomonas fulva, Paenibacillus polymyxa, Bacillus cabrialesii, Micrococcus luteus, Bacillus pseudomycoides, Bacillus licheniformis, and Pseudomonas pergaminensis--was predicted to exhibit broad catabolic capacity and minimal intra-community competition. Kinetic experiments in minimal medium demonstrated simultaneous multi-pollutant degradation: lignin (91.6% removal by day 5), atrazine (91.4% removal by day 3), and PFOS (93.1% removal within seven days), representing a 2-4-fold improvement over existing approaches. GENIA establishes a scalable and generalizable framework that integrates systems-level genomics, phenotypic screening, and predictive modeling to engineer ecologically coherent microbial consortia with application to complex environmental bioremediation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/677392v1_ufig1.gif" ALT="Figure 1"> View larger version (66K): org.highwire.dtl.DTLVardef@1beee39org.highwire.dtl.DTLVardef@a0a1corg.highwire.dtl.DTLVardef@11ddc4aorg.highwire.dtl.DTLVardef@169ba57_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗