Coevolutionary Governance of Antibiotic and Pesticide Resistance.

Development of new biocides has dominated human responses to evolution of antibiotic and pesticide resistance. Increasing and uniform biocide use, the spread of resistance genes, and the lack of new classes of compounds indicate the importance of navigating toward more sustainable coevolutionary dynamics between human culture and species that evolve resistance. To inform this challenge, we introduce the concept of coevolutionary governance and propose three priorities for its implementation: (i) new norms and mental models for lowering use, (ii) diversifying practices to reduce directional selection, and (iii) investment in collective action institutions to govern connectivity.

Ciprofloxacin selects for RNA polymerase mutations with pleiotropic antibiotic resistance effects.

Objectives: Resistance to the fluoroquinolone drug ciprofloxacin is commonly linked to mutations that alter the drug target or increase drug efflux via the major AcrAB-TolC transporter. Very little is known about other mutations that might also reduce susceptibility to ciprofloxacin. We discovered that an Escherichia coli strain experimentally evolved for resistance to ciprofloxacin had acquired a mutation in rpoB, the gene coding for the β-subunit of RNA polymerase.

Target Product Profile for a Diagnostic Assay to Differentiate between Bacterial and Non-Bacterial Infections and Reduce Antimicrobial Overuse in Resource-Limited Settings: An Expert Consensus.

Acute fever is one of the most common presenting symptoms globally. In order to reduce the empiric use of antimicrobial drugs and improve outcomes, it is essential to improve diagnostic capabilities. In the absence of microbiology facilities in low-income settings, an assay to distinguish bacterial from non-bacterial causes would be a critical first step.

Antimicrobial resistance-a threat to the world's sustainable development.

This commentary examines how specific sustainable development goals (SDGs) are affected by antimicrobial resistance and suggests how the issue can be better integrated into international policy processes. Moving beyond the importance of effective antibiotics for the treatment of acute infections and health care generally, we discuss how antimicrobial resistance also impacts on environmental, social, and economic targets in the SDG framework. The paper stresses the need for greater international collaboration and accountability distribution, and suggests steps towards a broader engagement of countries and United Nations agencies to foster global intersectoral action on antimicrobial resistance.

International cooperation to improve access to and sustain effectiveness of antimicrobials.

Securing access to effective antimicrobials is one of the greatest challenges today. Until now, efforts to address this issue have been isolated and uncoordinated, with little focus on sustainable and international solutions. Global collective action is necessary to improve access to life-saving antimicrobials, conserving them, and ensuring continued innovation.

A general method for rapid determination of antibiotic susceptibility and species in bacterial infections.

To ensure correct antibiotic treatment and reduce the unnecessary use of antibiotics, there is an urgent need for new rapid methods for species identification and determination of antibiotic susceptibility in infectious pathogenic bacteria. We have developed a general method for the rapid identification of the bacterial species causing an infection and the determination of their antibiotic susceptibility profiles. An initial short cultivation step in the absence and presence of different antibiotics was combined with sensitive species-specific padlock probe detection of the bacterial target DNA to allow a determination of growth (i.

Overcoming scientific and structural bottlenecks in antibacterial discovery and development.

Antibiotic resistance is becoming an increasing threat, with too few novel antibiotics coming to market to replace those lost due to resistance development. Efforts by the pharmaceutical industry to screen for and design novel antibacterials have not been successful, with several companies minimizing or closing down their antibacterial research units, leading to a loss of skills and know-how. At the same time, antibiotic innovation in academia is not filling the void due to misaligned incentive structures and lack of vital knowledge of drug discovery.

Compensatory mutations in agrC partly restore fitness in vitro to peptide deformylase inhibitor-resistant Staphylococcus aureus.

Objectives: To determine how the fitness cost of deformylase inhibitor resistance conferred by fmt mutations can be genetically compensated.

Methods: Resistant mutants were isolated and characterized with regard to their growth rates in vitro and in neutropenic mice, MIC and DNA sequence. Faster-growing compensated mutants were isolated by serial passage in culture medium, and for a subset of the resistant and compensated mutants whole-genome sequencing was performed.

Colorimetric nucleic acid testing assay for RNA virus detection based on circle-to-circle amplification of padlock probes.

We developed a molecular diagnostic method for detection of RNA virus based on padlock probes and colorimetric readout. The feasibility of our approach was demonstrated by using detection of Crimean-Congo hemorrhagic fever (CCHF) virus as a model. Compared with conventional PCR-based methods, our approach does not require advanced equipment, involves easier assay design, and has a sensitivity of 10(3) viral copies/ml.

Activation of initiation factor 2 by ligands and mutations for rapid docking of ribosomal subunits.

We previously identified mutations in the GTPase initiation factor 2 (IF2), located outside its tRNA-binding domain, compensating strongly (A-type) or weakly (B-type) for initiator tRNA formylation deficiency. We show here that rapid docking of 30S with 50S subunits in initiation of translation depends on switching 30S subunit-bound IF2 from its inactive to active form. Activation of wild-type IF2 requires GTP and formylated initiator tRNA (fMet-tRNA(i)).

Error-prone initiation factor 2 mutations reduce the fitness cost of antibiotic resistance.

Mutations in the fmt gene (encoding formyl methionine transferase) that eliminate formylation of initiator tRNA (Met-tRNA(i)) confer resistance to the novel antibiotic class of peptide deformylase inhibitors (PDFIs) while concomitantly reducing bacterial fitness. Here we show in Salmonella typhimurium that novel mutations in initiation factor 2 (IF2) located outside the initiator tRNA binding domain can partly restore fitness of fmt mutants without loss of antibiotic resistance. Analysis of initiation of protein synthesis in vitro showed that with non-formylated Met-tRNA(i) IF2 mutants initiated much faster than wild-type IF2, whereas with formylated fMet-tRNA(i) the initiation rates were similar.

Reducing the fitness cost of antibiotic resistance by amplification of initiator tRNA genes.

Deformylase inhibitors belong to a novel antibiotic class that targets peptide deformylase, a bacterial enzyme that removes the formyl group from N-terminal methionine in nascent polypeptides. Using the bacterium Salmonella enterica, we isolated mutants with resistance toward the peptide deformylase inhibitor actinonin. Resistance mutations were identified in two genes that are required for the formylation of methionyl (Met) initiator tRNA (tRNAi)(fMet): the fmt gene encoding the enzyme methionyl-tRNA formyltransferase and the folD gene encoding the bifunctional enzyme methylenetetrahydrofolate-dehydrogenase and -cyclohydrolase.

Supervised identification of allergen-representative peptides for in silico detection of potentially allergenic proteins.

Motivation: Identification of potentially allergenic proteins is needed for the safety assessment of genetically modified foods, certain pharmaceuticals and various other products on the consumer market. Current methods in bioinformatic allergology exploit common features among allergens for the detection of amino acid sequences of potentially allergenic proteins. Features for identification still unexplored include the motifs occurring commonly in allergens, but rarely in ordinary proteins.

Prediction of food protein allergenicity: a bioinformatic learning systems approach.

Food hypersensitivity is constantly increasing in Western societies with a prevalence of about 1-2% in Europe and in the USA. Among children, the incidence is even higher. Because of the introduction of foods derived from genetically modified crops on the marketplace, the scientific community, regulatory bodies and international associations have intensified discussions on risk assessment procedures to identify potential food allergenicity of the newly introduced proteins.