Functional genome mining and taxono-genomics reveal eco-physiological traits and species distinctiveness of aromatic-degrading Pseudomonas bharatica sp. nov.
Balaram MohapatraSonam NainRakesh SharmaPrashant S PhalePublished in: Environmental microbiology reports (2022)
Assistive eco-physiological traits are necessary for microbes to adapt and colonize at polluted niches, enabling efficient clean-up. To demarcate species distinctiveness and eco-physiological traits of aromatic compounds metabolizing Pseudomonas sp. CSV86 T (earlier identified as Pseudomonas putida), an Indian isolate from a petrol station soil, comparative genome mining, taxono-genomic, and physiological analyses were performed. A 6.79 Mbp genome (62.72 G + C mol%) of CSV86 T encodes 6798 CDS and 238 unique genes. Naphthalene metabolism and Co-Zn-Cd resistance gene clusters were part of distinct genomic islands. Abundance of transporters (aromatics, organic acids, amino acids, and metals) and mobile elements (integrases, transposases, conjugative proteins) differentiated CSV86 T from its closest relatives. Enhanced siderophore production for Fe-uptake during aromatic metabolism, indole acetic acid production, and fusaric acid resistance wasvalidated by genomic attributes. Full-length 16S-rRNA phylogeny revealed Pseudomonas japonica WL T as a closest relative of CSV86 T . However, lower genomic indices (<97% gyrB-rpoB-rpoD homology, <90% ANI, <50% DNA-DNA relatedness) and taxonomic differences (assimilation of organic acids, amino acids, fatty acids composition) substantially differentiated CSV86 T from its closest relatives, indicating it to be a novel species as Pseudomonas bharatica. Preferential metabolism of aromatics with advantageous eco-physiological traits renders CSV86 T an ideal candidate for bioremediation and host for metabolic engineering.
Keyphrases
- genome wide
- copy number
- amino acid
- dna methylation
- biofilm formation
- plant growth
- single cell
- circulating tumor
- fatty acid
- single molecule
- gene expression
- cell free
- pseudomonas aeruginosa
- quantum dots
- antibiotic resistance genes
- genetic diversity
- candida albicans
- wastewater treatment
- transcription factor
- health risk assessment
- genome wide analysis