The Methods of Digging for "Gold" within the Salt: Characterization of Halophilic Prokaryotes and Identification of Their Valuable Biological Products Using Sequencing and Genome Mining Tools.
Jakub LachPaulina JęczDominik StrapagielAgnieszka Matera-WitkiewiczPaweł StączekPublished in: Genes (2021)
Halophiles, the salt-loving organisms, have been investigated for at least a hundred years. They are found in all three domains of life, namely Archaea, Bacteria, and Eukarya, and occur in saline and hypersaline environments worldwide. They are already a valuable source of various biomolecules for biotechnological, pharmaceutical, cosmetological and industrial applications. In the present era of multidrug-resistant bacteria, cancer expansion, and extreme environmental pollution, the demand for new, effective compounds is higher and more urgent than ever before. Thus, the unique metabolism of halophilic microorganisms, their low nutritional requirements and their ability to adapt to harsh conditions (high salinity, high pressure and UV radiation, low oxygen concentration, hydrophobic conditions, extreme temperatures and pH, toxic compounds and heavy metals) make them promising candidates as a fruitful source of bioactive compounds. The main aim of this review is to highlight the nucleic acid sequencing experimental strategies used in halophile studies in concert with the presentation of recent examples of bioproducts and functions discovered in silico in the halophile's genomes. We point out methodological gaps and solutions based on in silico methods that are helpful in the identification of valuable bioproducts synthesized by halophiles. We also show the potential of an increasing number of publicly available genomic and metagenomic data for halophilic organisms that can be analysed to identify such new bioproducts and their producers.
Keyphrases
- heavy metals
- nucleic acid
- multidrug resistant
- gram negative
- risk assessment
- human health
- health risk assessment
- molecular docking
- single cell
- climate change
- health risk
- papillary thyroid
- sewage sludge
- bioinformatics analysis
- squamous cell
- drug resistant
- microbial community
- aqueous solution
- big data
- acinetobacter baumannii
- squamous cell carcinoma
- molecular dynamics simulations
- artificial intelligence
- antibiotic resistance genes
- wastewater treatment
- radiation therapy
- data analysis
- gene expression
- high resolution
- drinking water
- life cycle
- radiation induced