Detection of Catecholamines Produced in Planktonic P. aeruginosa and S. aureus Treated with Adult Bovine Serum

Bacterial biofilms play a critical role in inducing and sustaining chronic wounds that are serious health threats. Bacterial biofilms can also be found on medical prosthetics and implants that sustain infections in patients and cause life threatening situations. Bacteria self-produce these sticky extracellular substances termed a biofilm which help them to adhere to each other forming a community of microorganisms. One of the major issues is that biofilms have antimicrobial characteristics and provide protection from the immune system; biofilms are found in over 80% of human bacterial infections. Formation of a bacterial biofilm occurs when an individual (planktonic) bacterial cell attaches to a surface such as collagen exposed in a wound. The planktonic bacterial cell then converts into a biofilm phenotype which allows it to grow and divide on the surface thereby forming layers of microcolonies. After maturation, which is characterized by the production of an extracellular matrix, cells detach from the biofilm and disperse to re-enter the planktonic mode and repeat the biofilm cycle. Under conditions of stress, namely injury or disease, the human body releases adrenaline-like hormones called catecholamines such as epinephrine (adrenaline) and norepinephrine (noradrenaline). Many studies have indicated a close relationship between the presence of catecholamine hormones in a human host and the growth, formation, and virulence of bacterial biofilms. Furthermore, studies from Dr. Isseroff’s dermatology lab at UC Davis confirm that the presence of these catecholamines at dermal wound sites impair the healing process by generating a cellular response through activation of beta-adrenergic receptors. However, few species of bacterial biofilms have been shown to produce catecholamines independently, and none have been shown to produce epinephrine. We examined two species of bacteria commonly found in chronic wounds, Pseudomonas aeruginosa(Gram negative) and Staphylococcus aureus (Gram positive), to determine whether they can produce catecholamines in eukaryotic cell growth conditions. We examined the supernatants of the media after the bacteria were cultured with 0% and 10% concentrations of Adult Bovine Serum (ABS) and then detected for the presence of catecholamines by High Pressure Liquid Chromatography Electrochemical Detection (HPLC-ED)

A single sulfatase is required to access colonic mucin by a gut bacterium

International audienceHumans have co-evolved with a dense community of microbial symbionts that inhabit the lower intestine. In the colon, secreted mucus creates a barrier that separates these microorganisms from the intestinal epithelium1. Some gut bacteria are able to utilize mucin glycoproteins, the main mucus component, as a nutrient source. However, it remains unclear which bacterial enzymes initiate degradation of the complex O-glycans found in mucins. In the distal colon, these glycans are heavily sulfated, but specific sulfatases that are active on colonic mucins have not been identified. Here we show that sulfatases are essential to the utilization of distal colonic mucin O-glycans by the human gut symbiont Bacteroides thetaiotaomicron. We characterized the activity of 12 different sulfatases produced by this species, showing that they are collectively active on all known sulfate linkages in O-glycans. Crystal structures of three enzymes provide mechanistic insight into the molecular basis of substrate specificity. Unexpectedly, we found that a single sulfatase is essential for utilization of sulfated O-glycans in vitro and also has a major role in vivo. Our results provide insight into the mechanisms of mucin degradation by a prominent group of gut bacteria, an important process for both normal microbial gut colonization2 and diseases such as inflammatory bowel diseas

A global metagenomic map of urban microbiomes and antimicrobial resistance

We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.Funding: the Tri-I Program in Computational Biology and Medicine (CBM) funded by NIH grant 1T32GM083937; GitHub; Philip Blood and the Extreme Science and Engineering Discovery Environment (XSEDE), supported by NSF grant number ACI-1548562 and NSF award number ACI-1445606; NASA (NNX14AH50G, NNX17AB26G), the NIH (R01AI151059, R25EB020393, R21AI129851, R35GM138152, U01DA053941); STARR Foundation (I13- 0052); LLS (MCL7001-18, LLS 9238-16, LLS-MCL7001-18); the NSF (1840275); the Bill and Melinda Gates Foundation (OPP1151054); the Alfred P. Sloan Foundation (G-2015-13964); Swiss National Science Foundation grant number 407540_167331; NIH award number UL1TR000457; the US Department of Energy Joint Genome Institute under contract number DE-AC02-05CH11231; the National Energy Research Scientific Computing Center, supported by the Office of Science of the US Department of Energy; Stockholm Health Authority grant SLL 20160933; the Institut Pasteur Korea; an NRF Korea grant (NRF-2014K1A4A7A01074645, 2017M3A9G6068246); the CONICYT Fondecyt Iniciación grants 11140666 and 11160905; Keio University Funds for Individual Research; funds from the Yamagata prefectural government and the city of Tsuruoka; JSPS KAKENHI grant number 20K10436; the bilateral AT-UA collaboration fund (WTZ:UA 02/2019; Ministry of Education and Science of Ukraine, UA:M/84-2019, M/126-2020); Kyiv Academic Univeristy; Ministry of Education and Science of Ukraine project numbers 0118U100290 and 0120U101734; Centro de Excelencia Severo Ochoa 2013–2017; the CERCA Programme / Generalitat de Catalunya; the CRG-Novartis-Africa mobility program 2016; research funds from National Cheng Kung University and the Ministry of Science and Technology; Taiwan (MOST grant number 106-2321-B-006-016); we thank all the volunteers who made sampling NYC possible, Minciencias (project no. 639677758300), CNPq (EDN - 309973/2015-5), the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science – MOE, ECNU, the Research Grants Council of Hong Kong through project 11215017, National Key RD Project of China (2018YFE0201603), and Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) (L.S.