Crosstalk and gene expression in microorganisms under metals stress.
Pooja SharmaAmbreen BanoAshok Kumar NaddaSwati SharmaSunita VarjaniSurendra Pratap SinghPublished in: Archives of microbiology (2022)
Contamination of the environment with heavy metals (HMs) has led to huge global environmental issues. Industrialization activities such as mining, manufacturing, and construction generate massive amounts of toxic waste, posing environmental risks. HMs soil pollution causes a variety of environmental issues and has a detrimental effect on both animals and plants. To remove HMs from the soil, traditional physico-chemical techniques such as immobilization, electro-remediation, stabilization, and chemical reduction are used. Moreover, the high energy, trained manpower, and hazardous chemicals required by these methods make them expensive and non-environmentally friendly. Bioremediation process, which involves microorganism-based and microorganism-associated-plant-based approaches, is an ecologically sound and cost-effective strategy for restoring HMs polluted soil. Microbes adjust their physiology to these conditions to live, which can involve significant variations in the expression of the genes. A set of genes are activated in response to toxic metals in microbes. They can also adapt by modifying their shape, fruiting bodies creating biofilms, filaments, or chemotactically migrating away from stress chemicals. Microbes including Bacillus sp., Pseudomonas sp., and Aspergillus sp. has been found to have high metals remediation and tolerance capacity of up to 98% whether isolated or in combination with plants like Helianthus annuus, Trifolium repens, and Vallisneria denseserrulata. Several of the regulatory systems that have been discovered are unique, but there is also a lot of "cross-talk" among networks. This review discusses the current state of knowledge regarding the microbial signaling responses, and the function of microbes in HMs stress resistance.
Keyphrases
- human health
- risk assessment
- heavy metals
- health risk
- health risk assessment
- gene expression
- plant growth
- climate change
- genome wide
- sewage sludge
- healthcare
- poor prognosis
- stress induced
- dna methylation
- microbial community
- life cycle
- transcription factor
- candida albicans
- genome wide identification
- cystic fibrosis
- high speed
- long non coding rna
- cell wall
- bioinformatics analysis
- pseudomonas aeruginosa
- escherichia coli
- body composition
- staphylococcus aureus