| Literature DB >> 33193180 |
Abstract
Successful inter-kingdom relationships are based upon a dynamic balance between defense and cooperation. A certain degree of competition is necessary to guarantee life spread and development. On the other hand, cooperation is a powerful tool to ensure a long lasting adaptation to changing environmental conditions and to support evolution to a higher level of complexity. Bacteria can interact with their (true or potential) parasites (i.e., phages) and with their multicellular hosts. In these model interactions, bacteria learnt how to cope with their inner and outer host, transforming dangerous signals into opportunities and modulating responses in order to achieve an agreement that is beneficial for the overall participants, thus giving rise to a more complex "organism" or ecosystem. In this review, particular attention will be addressed to underline the minimal energy expenditure required for these successful interactions [e.g., moonlighting proteins, post-translational modifications (PTMs), and multitasking signals] and the systemic vision of these processes and ways of life in which the system proves to be more than the sum of the single components. Using an inside-out perspective, I will examine the possibility of multilevel interactions, in which viruses help bacteria to cope with the animal host and bacteria support the human immune system to counteract viral infection in a circular vision. In this sophisticated network, bacteria represent the precious link that insures system stability with relative low energy expenditure.Entities:
Keywords: MVs (membrane vesicles); PTMs (post-translational modifications); evolution; moonlight proteins; multitasking signals; partnership agreement; phage–bacteria–human host; viral-like particles
Year: 2020 PMID: 33193180 PMCID: PMC7606975 DOI: 10.3389/fmicb.2020.573759
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Multitasking bacterial-derived compounds and their different roles in bacteria and host.
| SCFA | Catabolism end-products | Histone deacetylase inhibitors Control of tight-junction proteins Anti-inflammatory action (increased IL-10, TGF-β, and annexin A1) | |
| EPS | Osmoprotectants Biofilm polymeric matrix | Inhibit the growth of Caco-2 colon cancer cells Decrease the production of TNF-α and increase the IL-10 production Innate and adaptive immune responses | |
| Amino acid derivatives Histamine, serotonin, and nor-epinephrine 3-oxo-C12 homoserine lactone GABA | Alkalinization and energy gain QS autoinducers | Control enteric neurotransmission Modulate pro- and anti-inflammatory cytokine ratio Modulation of neuro-muscular junctions and blood pressure | |
| Peptides | QS, bacteriocins | Alter cytokine profiles of both monocytes and dendritic cells | |
| Moonlight proteins | Glycolisis, TCA, and stress chaperones (GroEL and DnaK) | Tissue adhesion Dendritic cell maturation Enhance secretion of IL-8 in human macrophages Induce apoptosis in gastric cells |
FIGURE 1Proteome complexity is the result of transcriptional (e.g. alternative promoters), post-transcriptional (e.g. RNA editing and splicing) and post-translational events. Post-translational events include a large panel of reversible or irreversible chemical modifications that may affect structure, function and cellular location of proteins.
FIGURE 2The maltoporin facilitating maltose uptake is a phage receptor.
FIGURE 3Bacterial structures showing similarities with phages: protein shell microcompartments and the phage head. Microcompartments are used for isolating metabolic pathways generating toxic compounds such as 3-hydroxypropionaldehyde (on the left: illustration originally printed in The Scientist by Thom Graves; on the right: from Lundin et al., 2020).
FIGURE 4Bacterial structures showing similarities with phages: T6SS and the phage tail. T6SS is used to translocate completely folded proteins across inner and outer membrane of the secreting bacterium and across other bacteria’s or eukaryotic host membranes (from Records, 2011).
FIGURE 5Russian doll model for the multilevel relationships phage–bacteria–human host.