Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO).

Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided an important resource for studying gene function, especially within model organisms. Unprecedented expansion of the scientific literature and validation of the predicted proteins have increased both data value and the challenges of keeping pace. Capturing literature-based functional annotations is limited by the ability of biocurators to handle the massive and rapidly growing scientific literature. Within the community-oriented wiki framework for GO annotation called the Gene Ontology Normal Usage Tracking System (GONUTS), we describe an approach to expand biocuration through crowdsourcing with undergraduates. This multiplies the number of high-quality annotations in international databases, enriches our coverage of the literature on normal gene function, and pushes the field in new directions. From an intercollegiate competition judged by experienced biocurators, Community Assessment of Community Annotation with Ontologies (CACAO), we have contributed nearly 5,000 literature-based annotations. Many of those annotations are to organisms not currently well-represented within GO. Over a 10-year history, our community contributors have spurred changes to the ontology not traditionally covered by professional biocurators. The CACAO principle of relying on community members to participate in and shape the future of biocuration in GO is a powerful and scalable model used to promote the scientific enterprise. It also provides undergraduate students with a unique and enriching introduction to critical reading of primary literature and acquisition of marketable skills

Physiology of Escherichia coli at high osmolarity and its use in industrial ethanol production

Biofuels are becoming increasingly important in the light of climate change, increasing energy demands and higher fuel prices. Their production must be carefully balanced against the production of foods and use of fresh water, both of which are consumed by crop based biofuels such as corn ethanol. One proposed solution is to instead use waste materials such as plant matter including wood offcuts and plant trimmings. This waste can be turned into syngas (a mix of CO and H₂) and converted to ethanol using microorganisms. Production of ethanol using microorganisms however, is complicated as the ethanol produced by the cells becomes toxic at higher concentrations, inhibiting their growth and further production. The usual method of keeping the toxicity down to allow further production is to continuously distil ethanol off at low concentrations and consequently, a high cost. Since the mechanisms of ethanol damage to microbes are similar to those that occur during osmotic challenge: damage to the membrane, cytoplasmic dehydration, and protein unfolding, I hypothesized that we can use knowledge of osmoregulatory mechanisms to increase the resistance of cells to ethanol damage and decrease distillation costs. While working under this hypothesis I had to address some of the challenges one faces when understanding the physiology and growth of microbes, and for the purpose I have developed a number of useful techniques; a method for calibrating optical densities to cell number, a neural network for identifying cells and determining their concentrations via microscope imaging and a simple particle diffusion simulation for correcting errors due to confinement of particles within cells. In addition, I have produced a simplified model of industrial production to help evaluate economic impacts that changes to the growth of microbes and the plant process may have. To study any useful links between osmolarity and ethanol resistance, I chose to use Escherichia coli as the model organism due to the large amount of data available on its osmoregulatory mechanisms. It has been long known that when bacteria do grow at high but not lethal osmolarity, they grow at a reduced rate which, even if it increases the ethanol resistance, may have a detrimental effect on the desired production rates. So therefore, in addition to testing the ethanol tolerance of the bacteria under different osmotic conditions, and as a second focus of this project, I have tried to understand why the reduction in growth rates occurs, with the hope of mitigating this effect. This will offer a better understanding of osmotic growth and provide useful insights for industrial bio-production. To this end, I have tried to discern some of the possible reasons for this slower growth by measuring various cell physiological parameters such as batch-culture yield, cytoplasmic diffusion and proteome allocation using my newly developed techniques. I have found a reduction in the cell yield with increasing osmolarity of 50% with an increase of 1Osm of osmotic agent, a slight decrease in cytoplasmic diffusion and a slight decrease in RNA content at high osmolarity. I have also proposed a coarse-grained model of proteome partitioning to help integrate these results and explain growth at high osmolarity. It is still to be determined if, as a whole, the changes observed explain fully the reduction in growth. When it comes to ethanol resistance, and contrary to my hypothesis, I found that increasing the osmolarity of the medium with sucrose or NaCl reduced the ethanol resistance. However, I found that the proW gene provides significant ethanol resistance, indicating glycine betaine, or another substrate for this transporter, is highly useful as a protectant. And this transporter is a potential candidate for overexpression. A reduction in growth temperature also provides significant solvent tolerance at the expense of a reduction in growth rate and hence production.Restricted Acces

Uropathogenic Escherichia coli Modulates Immune Responses and Its Curli Fimbriae Interact with the Antimicrobial Peptide LL-37

Bacterial growth in multicellular communities, or biofilms, offers many potential advantages over single-cell growth, including resistance to antimicrobial factors. Here we describe the interaction between the biofilm-promoting components curli fimbriae and cellulose of uropathogenic E. coli and the endogenous antimicrobial defense in the urinary tract. We also demonstrate the impact of this interplay on the pathogenesis of urinary tract infections. Our results suggest that curli and cellulose exhibit differential and complementary functions. Both of these biofilm components were expressed by a high proportion of clinical E. coli isolates. Curli promoted adherence to epithelial cells and resistance against the human antimicrobial peptide LL-37, but also increased the induction of the proinflammatory cytokine IL-8. Cellulose production, on the other hand, reduced immune induction and hence delayed bacterial elimination from the kidneys. Interestingly, LL-37 inhibited curli formation by preventing the polymerization of the major curli subunit, CsgA. Thus, even relatively low concentrations of LL-37 inhibited curli-mediated biofilm formation in vitro. Taken together, our data demonstrate that biofilm components are involved in the pathogenesis of urinary tract infections by E. coli and can be a target of local immune defense mechanisms

Protein Translation and Cell Death: The Role of Rare tRNAs in Biofilm Formation and in Activating Dormant Phage Killer Genes

We discovered previously that the small Escherichia coli proteins Hha (hemolysin expression modulating protein) and the adjacent, poorly-characterized YbaJ are important for biofilm formation; however, their roles have been nebulous. Biofilms are intricate communities in which cell signaling often converts single cells into primitive tissues. Here we show that Hha decreases biofilm formation dramatically by repressing the transcription of rare codon tRNAs which serves to inhibit fimbriae production and by repressing to some extent transcription of fimbrial genes fimA and ihfA. In vivo binding studies show Hha binds to the rare codon tRNAs argU, ileX, ileY, and proL and to two prophage clusters D1P12 and CP4-57. Real-time PCR corroborated that Hha represses argU and proL, and Hha type I fimbriae repression is abolished by the addition of extra copies of argU, ileY, and proL. The repression of transcription of rare codon tRNAs by Hha also leads to cell lysis and biofilm dispersal due to activation of prophage lytic genes rzpD, yfjZ, appY, and alpA and due to induction of ClpP/ClpX proteases which activate toxins by degrading antitoxins. YbaJ serves to mediate the toxicity of Hha. Hence, we have identified that a single protein (Hha) can control biofilm formation by limiting fimbriae production as well as by controlling cell death. The mechanism used by Hha is the control of translation via the availability of rare codon tRNAs which reduces fimbriae production and activates prophage lytic genes. Therefore, Hha acts as a toxin in conjunction with co-transcribed YbaJ (TomB) that attenuates Hha toxicity

We're in this Together: Sensation of the Host Cell Environment by Endosymbiotic Bacteria

Bacteria inhabit diverse environments, including the inside of eukaryotic cells. While a bacterial invader may initially act as a parasite or pathogen, a subsequent mutualistic relationship can emerge in which the endosymbiotic bacteria and their host share metabolites. While the environment of the host cell provides improved stability when compared to an extracellular environment, the endosymbiont population must still cope with changing conditions, including variable nutrient concentrations, the host cell cycle, host developmental programs, and host genetic variation. Furthermore, the eukaryotic host can deploy mechanisms actively preventing a bacterial return to a pathogenic state. Many endosymbionts are likely to use two-component systems (TCSs) to sense their surroundings, and expanded genomic studies of endosymbionts should reveal how TCSs may promote bacterial integration with a host cell. We suggest that studying TCS maintenance or loss may be informative about the evolutionary pathway taken toward endosymbiosis, or even toward endosymbiont-to-organelle conversion.Peer reviewe