The genes of the sulphoquinovose catabolism in Escherichia coli are also associated with a previously unknown pathway of lactose degradation

Phylogeny and structural modeling of the transcription factor CsqR (YihW) from Escherichia coli

CsqR (YihW) is a local transcription factor that controls expression of yih genes involved in degradation of sulfoquinovose in Escherichia coli. We recently showed that expression of the respective gene cassette might be regulated by lactose. Here, we explore the phylogenetic and functional traits of CsqR. Phylogenetic analysis revealed that CsqR had a conserved Met25. Western blot demonstrated that CsqR was synthesized in the bacterial cell as two protein forms, 28.5 (CsqR-l) and 26 kDa (CsqR-s), the latter corresponding to start of translation at Met25. CsqR-s was dramatically activated during growth with sulfoquinovose as a sole carbon source, and displaced CsqR-l in the stationary phase during growth on rich medium. Molecular dynamic simulations revealed two possible states of the CsqR-s structure, with the interdomain linker being represented by either a disordered loop or an ɑ-helix. This helix allowed the hinge-like motion of the N-terminal domain resulting in a switch of CsqR-s between two conformational states, "open" and "compact". We then modeled the interaction of both CsqR forms with putative effectors sulfoquinovose, sulforhamnose, sulfoquinovosyl glycerol, and lactose, and revealed that they all preferred the same pocket in CsqR-l, while in CsqR-s there were two possible options dependent on the linker structure.

Intracellular glycogen accumulation by human gut commensals as a niche adaptation trait

The human gut microbiota is a key contributor to host metabolism and physiology, thereby impacting in various ways on host health. This complex microbial community has developed many metabolic strategies to colonize, persist and survive in the gastrointestinal environment. In this regard, intracellular glycogen accumulation has been associated with important physiological functions in several bacterial species, including gut commensals. However, the role of glycogen storage in shaping the composition and functionality of the gut microbiota offers a novel perspective in gut microbiome research. Here, we review what is known about the enzymatic machinery and regulation of glycogen metabolism in selected enteric bacteria, while we also discuss its potential impact on colonization and adaptation to the gastrointestinal tract. Furthermore, we survey the presence of such glycogen biosynthesis pathways in gut metagenomic data to highlight the relevance of this metabolic trait in enhancing survival in the highly competitive and dynamic gut ecosystem.

Macrolides mediate transcriptional activation of the msr(E)-mph(E) operon through histone-like nucleoid-structuring protein (HNS) and cAMP receptor protein (CRP)

OBJECTIVES

The msr(E)-mph(E) operon exists widely in diverse species of bacteria and msr(E) and mph(E) genes confer high resistance to macrolides. We aimed to explore whether macrolides regulate the transcription of the operon.

METHODS

Antibiotic resistance genes in clinical isolates of Klebsiella pneumoniae were analysed by WGS. The transcription of the msr(E)-mph(E) operon was investigated by quantitative PCR. Construction of enhanced green fluorescent protein (eGFP) reporter plasmids, gene knockout and complementation experiments were used to further explore the induction mechanism of macrolides for the operon. Sequence analysis was finally used to investigate whether the operon exists widely in diverse species of bacteria.

RESULTS

We originally found that the treatment of a pandrug-resistant isolate of K. pneumoniae (KP1517) with macrolides obviously up-regulated the msr(E)-mph(E) operon, which was further confirmed in another nine clinical isolates of K. pneumoniae. The induction mechanism of macrolides for the operon was partly elucidated. Macrolides could activate the operon promoter, and the J10/J35 regions (J10: 5'-AGTTATCAT-3'; J35: 5'-TTGTCT-3') of the promoter were determined. Histone-like nucleoid-structuring protein (HNS) and cAMP receptor protein (CRP) were involved in the erythromycin-mediated activation of the operon promoter. The 476 strains of bacteria carrying the msr(E)-mph(E) operon currently in the NCBI database are mainly Acinetobacter baumannii (158; 33%), K. pneumoniae (95; 20%), Escherichia coli (26; 5%) and Proteus mirabilis (25; 5%). They were mainly isolated from human clinical samples (287; 60%) and had a wide geographical distribution.

CONCLUSIONS

Macrolides could activate transcription of the msr(E)-mph(E) operon through HNS and CRP in K. pneumoniae and E. coli, and this might occur in diverse species of bacteria.

Unraveling the functions of uncharacterized transcription factors in Escherichia coli using ChIP-exo

Bacteria regulate gene expression to adapt to changing environments through transcriptional regulatory networks (TRNs). Although extensively studied, no TRN is fully characterized since the identity and activity of all the transcriptional regulators comprising a TRN are not known. Here, we experimentally evaluate 40 uncharacterized proteins in Escherichia coli K-12 MG1655, which were computationally predicted to be transcription factors (TFs). First, we used a multiplexed chromatin immunoprecipitation method combined with lambda exonuclease digestion (multiplexed ChIP-exo) assay to characterize binding sites for these candidate TFs; 34 of them were found to be DNA-binding proteins. We then compared the relative location between binding sites and RNA polymerase (RNAP). We found 48% (283/588) overlap between the TFs and RNAP. Finally, we used these data to infer potential functions for 10 of the 34 TFs with validated DNA binding sites and consensus binding motifs. Taken together, this study: (i) significantly expands the number of confirmed TFs to 276, close to the estimated total of about 280 TFs; (ii) provides putative functions for the newly discovered TFs and (iii) confirms the functions of four representative TFs through mutant phenotypes.

Route of exposure influences pesticide body burden and the hepatic metabolome in post-metamorphic leopard frogs

Pesticides are being applied at a greater extent than in the past. Once pesticides enter the ecosystem, many environmental factors can influence their residence time. These interactions can result in processes such as translocation, environmental degradation, and metabolic activation facilitating exposure to target and non-target species. Most anurans start off their life cycle in aquatic environments and then transition into terrestrial habitats. Their time in the aquatic environment is generally short; however, many important developmental stages occur during this tenure. Post-metamorphosis, most species spend many years on land but migrate back to the aquatic environment for breeding. Due to the importance of both the aquatic and terrestrial environments to the life stages of amphibians, we investigated how the route of exposure (i.e., uptake from contaminated soils vs. uptake from contaminated surface water) influences pesticide bioavailability and body burden for four pesticides (bifenthrin (BIF), chlorpyrifos (CPF), glyphosate (GLY), and trifloxystrobin (TFS)) as well as the impact on the hepatic metabolome of adult leopard frogs (Gosner stage 46 with 60-90 days post-metamorphosis). Body burden concentrations for amphibians exposed in water were significantly higher (ANOVA p < 0.0001) compared to amphibians exposed to contaminated soil across all pesticides studied. Out of 80 metabolites that were putatively identified, the majority expressed a higher abundance in amphibians that were exposed in pesticide contaminated water compared to soil. Ultimately, this research will help fill regulatory data gaps, aid in the creation of more accurate amphibian dermal uptake models and inform continued ecological risk assessment efforts.

A GMMA-CPS-Based Vaccine for Non-Typhoidal Salmonella

Non-typhoidal Salmonella are a major cause of gastroenteritis worldwide, as well as causing bloodstream infections in sub-Saharan Africa with a high fatality rate. No vaccine is currently available for human use. Current vaccine development strategies are focused on capsular polysaccharides (CPS) present on the surface of non-typhoidal Salmonella. This study aimed to boost the amount of CPS purified from S. Typhimurium for immunization trials. Random mutagenesis with Tn10 transposon increased the production of CPS colanic acid, by 10-fold compared to wildtype. Immunization with colanic acid or colanic acid conjugated to truncated glycoprotein D or inactivated diphtheria toxin did not induce a protective immune response in mice. However, immunization with Generalized Modules for Membrane Antigens (GMMAs) isolated from colanic acid overproducing isolates reduced Salmonella colonization in mice. Our results support the development of a GMMA-CPS-based vaccine against non-typhoidal Salmonella.

Regulatory role of CsqR (YihW) in transcription of the genes for catabolism of the anionic sugar sulfoquinovose (SQ) in Escherichia coli K-12

The binding sites of YihW, an uncharacterized DeoR-family transcription factor (TF) of Escherichia coli K-12, were identified using Genomic SELEX screening at two closely located sites, one inside the spacer between the bidirectional transcription units comprising the yihUTS operon and the yihV gene, and another one upstream of the yihW gene itself. Recently the YihUTS and YihV proteins were identified as catalysing the catabolism of sulfoquinovose (SQ), a hydrolysis product of sulfoquinovosyl diacylglycerol (SQDG) derived from plants and other photosynthetic organisms. Gel shift assay in vitro and reporter assay in vivo indicated that YihW functions as a repressor for all three transcription units. De-repression of the yih operons was found to be under the control of SQ as inducer, but not of lactose, glucose or galactose. Furthermore, a mode of its cooperative DNA binding was suggested for YihW by atomic force microscopy. Hence, as a regulator of the catabolism of SQ, we renamed YihW as CsqR.