The rapid expansion of the aquaculture industry has intensified the discharge of nitrogen-rich wastewater, posing significant ecological risks. Biological treatment with HN-AD bacteria is sustainable, but most conventional strains lack long-term environmental resilience. The key bottleneck is identifying novel, robustly adaptable strains, especially spore-forming Gram-positive bacteria. Moreover, the non-canonical metabolic mechanisms that distinguish such strains remain largely unexplored. This study isolated a novel HN-AD strain, Paenibacillus glycanilyticus DQ-1, from aquaculture sludge and investigated its nitrogen removal performance and genomic metabolic pathways. Strain DQ-1 was isolated and identified through 16 S rRNA gene sequencing and morphological analysis. Its nitrogen removal efficiency was evaluated under aerobic conditions with different nitrogen sources, including ammonium nitrogen (NH₄+-N), nitrate nitrogen (NO₃−-N), total inorganic nitrogen (TIN) and hydroxylamine nitrogen (NH2OH-N). Whole-genome sequencing was conducted using the PacBio Sequel II platform to identify functional genes and reconstruct the nitrogen metabolic pathways. Strain DQ-1 achieved 93.26% NH₄⁺-N and 100% NO₃⁻-N removal within 36 h, with 95.92% TIN removal. Genomic analysis revealed a complete assimilatory nitrate reduction pathway (nasAB and nirBD). Notably, while the canonical hydroxylamine oxidoreductase gene (hao) is absent, the strain showed 74.67% NH2OH-N removal and harbors a putative ammonia monooxygenase gene (amo). These results suggest that DQ-1 employs a novel non-canonical pathway, distinct from known HN-AD models, for efficient nitrogen transformation. P. glycanilyticus DQ-1 differs from typical HN-AD bacteria in its spore-forming ability and a novel hao-independent pathway. This study provides the first comprehensive genomic insight into the nitrogen removal capacity of P. glycanilyticus, expanding the microbial resource pool for sustainable environmental remediation.
Shi et al. (Tue,) studied this question.
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