Genomic Analysis of Heavy Metal-Resistant Genes in Wastewater Treatment Plants

Adetunji, Charles Oluwaseun; Inobeme, Abel; Singh, Kshitij RB; Bodunrinde, Ruth Ebunoluwa; Mathew, John Tsado; Olaniyan, Olugbemi T.; Abimbola, Ogundolie Frank; Singh, Jay; Nayak, Vanya; Singh, R. P.

doi:10.1201/9781003354147-8

Cited by 2 publications

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“…Studying the whole genome sequence (WGS) is an incredibly valuable approach to assessing genetic potential of a bacterium to combat metal assault and corroborate with the phenotypic and physiological data. WGS analysis pinpoints speci c genes that may play different role in developing resistance to toxic metals, metalloids, and antibiotics and helps understand adapting to different environments (Adetunji et al 2022). Comparative WGS analyses enable valuable insights into the evolutionary dynamics of bacteria, enhancing our understanding of microbial interactions in diverse ecosystems.…”

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confidence: 99%

Pseudomonas aeruginosa strain CD3 implements cadmium resistance through multimodal systems and its regulatory networking

Chatterjee,

Barman,

Barman

et al. 2024

Preprint

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Cadmium, a toxic heavy metal, poses a significant global concern. Out of 26 cadmium-resistant bacteria isolated from Malda, West Bengal, India, 10 exhibited significant resistance to cadmium. The study hypothesized that the net availability of metal salt molecules in a dissolved state would determine the tolerance limit of a given bacterium towards a particular heavy metal. Experiments were conducted using a modified medium that supported maximum bioavailability of cadmium, and strain CD3 was selected for studying the growth and induction of cadmium resistance. The resistance levels of CD3 cells increased with increasing initial cell numbers. Biofilm formation increased at lower concentrations of CdCl2.H2O but decreased as concentrations exceeded 0.75 mM. Atomic-absorption-spectrophotometry data confirmed that the efflux pump played a critical role in cadmium resistance at higher concentrations. Using whole-genome-based phylogenetic tools, strain CD3 was found to be the closest relative to Pseudomonas aeruginosa DSM50071T among the type strains of Pseudomonas spp., highlighting its unique evolutionary path. The STRING database was used to uncover an intricate web of protein-protein interactions. Hence, bioinformatic analyses revealed a complex network of regulations, with BfmR playing a crucial role in the functions of CzcR and CzcS, essential for biofilm formation and receptor signalling pathways.

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confidence: 99%