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Franco, V.

Publications and source records attributed to Franco, V..

3 recordsLinked to original sources

A genome-wide cytotoxicity screen of Cluster F1 mycobacteriophage Girr reveals novel inhibitors of Mycobacterium smegmatis growth

Over the past decade, thousands of bacteriophage genomes have been sequenced and annotated. A striking observation from this work is that known structural features and functions cannot be assigned for >65% of the encoded proteins. One approach to begin experimentally elucidating the function of these uncharacterized gene products is genome-wide screening to identify phage genes that confer phenotypes of interest like inhibition of host growth. This study describes the results of a screen evaluating the effects of overexpressing each gene encoded by the temperate Cluster F1 mycobacteriophage Girr on the growth of the host bacterium Mycobacterium smegmatis. Overexpression of 29 of the 102 Girr genes ([~]28% of the genome) resulted in mild to severe cytotoxicity. Of the 29 toxic genes described, 12 have no known function (NKF) and are predominately small proteins of <125 amino acids. Overexpression of the majority of these 12 cytotoxic NKF proteins resulted in moderate to severe growth reduction and represent novel antimicrobial products. The remaining 17 toxic genes have predicted functions, encoding products involved in phage structure, DNA replication/modification, DNA binding/gene regulation, or other enzymatic activity. Comparison of this dataset with prior genome-wide cytotoxicity screens of mycobacteriophages Waterfoul and Hammy reveals some common functional themes, though several of the predicted Girr functions associated with cytotoxicity in our report, including genes involved in lysogeny, have not been described previously. This study, completed as part of the HHMI-supported SEA-GENES project, highlights the power of parallel, genome-wide overexpression screens to identify novel interactions between phages and their hosts.

microbiology↗

Generation of a mutator parasite to drive resistome discovery in Plasmodium falciparum

In vitro evolution of drug resistance is a powerful approach for identifying antimalarial targets, however key obstacles to eliciting resistance are the parasite inoculum size and mutation rate. Here we sought to increase parasite genetic diversity to potentiate resistance selections by editing catalytic residues of Plasmodium falciparum DNA polymerase {delta}. Mutation accumulation assays revealed a [~]5-8 fold elevation in the mutation rate, with an increase of 13-28 fold in drug-pressured lines. When challenged with KAE609, high-level resistance was obtained more rapidly and at lower inoculum than wild-type parasites. Selections were also successful with an "irresistible" compound, MMV665794 that failed to yield resistance with other strains. Mutations in a previously uncharacterized gene, PF3D7_1359900, which we term quinoxaline resistance protein (QRP1), were validated as causal for resistance to MMV665794 and an analog, MMV007224. The increased genetic repertoire available to this "mutator" parasite can be leveraged to drive P. falciparum resistome discovery.

microbiology↗

Mapping The Malaria Parasite Drug-Able Genome Using In Vitro Evolution And Chemogenomics

Chemogenetic characterization through in vitro evolution combined with whole genome analysis is a powerful tool to discover novel antimalarial drug targets and identify drug resistance genes. Our comprehensive genome analysis of 262 Plasmodium falciparum parasites treated with 37 diverse compounds reveals how the parasite evolves to evade the action of small molecule growth inhibitors. This detailed data set revealed 159 gene amplifications and 148 nonsynonymous changes in 83 genes which developed during resistance acquisition. Using a new algorithm, we show that gene amplifications contribute to 1/3 of drug resistance acquisition events. In addition to confirming known multidrug resistance mechanisms, we discovered novel multidrug resistance genes. Furthermore, we identified promising new drug target-inhibitor pairs to advance the malaria elimination campaign, including: thymidylate synthase and a benzoquinazolinone, farnesyltransferase and a pyrimidinedione, and a dipeptidylpeptidase and an arylurea. This deep exploration of the P. falciparum resistome and drug-able genome will guide future drug discovery and structural biology efforts, while also advancing our understanding of resistance mechanisms of the deadliest malaria parasite.\n\nOne Sentence SummaryWhole genome sequencing reveals how Plasmodium falciparum evolves resistance to diverse compounds and identifies new antimalarial drug targets.

genomics↗