Glutamate Enhances Osmoadaptation of Anammox Bacteria under High Salinity: Genomic Analysis and Experimental Evidence.
Muhammad NaufalJer-Horng WuYung-Hsien ShaoPublished in: Environmental science & technology (2022)
An osmoprotectant that alleviates the bacterial osmotic stress can improve the bioreactor treatment of saline wastewater. However, proposed candidates are expensive, and osmoprotectants of anammox bacteria and their ecophysiological roles are not fully understood. In this study, a comparative analysis of 34 high-quality public metagenome-assembled genomes from anammox bacteria revealed two distinct groups of osmoadaptation. Candidatus Scalindua and Kuenenia share a close phylogenomic relation and osmoadaptation gene profile and have pathways for glutamate transport and metabolisms for enhanced osmoadaptation. The batch assay results demonstrated that the reduced Ca . Kuenenia activity in saline conditions was substantially alleviated with the addition and subsequent synergistic effects of potassium and glutamate. The operational test of two reactors demonstrated that the reduced anammox performance under brine conditions rapidly recovered by 35.7-43.1% as a result of glutamate treatment. The Ca . Kuenenia 16S rRNA and hydrazine gene expressions were upregulated significantly ( p < 0.05), and the abundance increased by approximately 19.9%, with a decrease in dominant heterotrophs. These data demonstrated the effectiveness of glutamate in alleviating the osmotic stress of Ca . Kuenenia. This study provides genomic insight into group-specific osmoadaptation of anammox bacteria and can facilitate the precision management of anammox reactors under high salinity.
Keyphrases
- wastewater treatment
- antibiotic resistance genes
- copy number
- randomized controlled trial
- microbial community
- genome wide
- anaerobic digestion
- emergency department
- high throughput
- gene expression
- dna methylation
- mouse model
- mental health
- drug delivery
- single cell
- machine learning
- protein kinase
- transcription factor
- deep learning
- artificial intelligence