The role of extracellular DNA in the formation, architecture, stability, and treatment of bacterial biofilms.
Hannah PanlilioCharles V RicePublished in: Biotechnology and bioengineering (2021)
Advances in biotechnology to treat and cure human disease have markedly improved human health and the development of modern societies. However, substantial challenges remain to overcome innate biological factors that thwart the activity and efficacy of pharmaceutical therapeutics. Until recently, the importance of extracellular DNA (eDNA) in biofilms was overlooked. New data reveal its extensive role in biofilm formation, adhesion, and structural integrity. Different approaches to target eDNA as anti-biofilm therapies have been proposed, but eDNA and the corresponding biofilm barriers are still difficult to disrupt. Therefore, more creative approaches to eradicate biofilms are needed. The production of eDNA often originates with the genetic material of bacterial cells through cell lysis. However, genomic DNA and eDNA are not necessarily structurally or compositionally identical. Variations are noteworthy because they dictate important interactions within the biofilm. Interactions between eDNA and biofilm components may as well be exploited as alternative anti-biofilm strategies. In this review, we discuss recent developments in eDNA research, emphasizing potential ways to disrupt biofilms. This review also highlights proteins, exopolysaccharides, and other molecules interacting with eDNA that can serve as anti-biofilm therapeutic targets. Overall, the array of diverse interactions with eDNA is important in biofilm structure, architecture, and stability.
Keyphrases
- candida albicans
- biofilm formation
- pseudomonas aeruginosa
- staphylococcus aureus
- human health
- circulating tumor
- escherichia coli
- cystic fibrosis
- risk assessment
- single molecule
- single cell
- cell free
- induced apoptosis
- mesenchymal stem cells
- endothelial cells
- genome wide
- stem cells
- copy number
- high throughput
- gene expression
- cell cycle arrest
- cell therapy
- machine learning
- electronic health record
- pi k akt
- replacement therapy