Connelley, T. | bioRxiv Science

bioRxiv2018

Selective sweep and phylogenetic models for the emergence and spread of pyrimethamine resistance mutations in Plasmodium vivax

Pyrimethamine resistance is a major concern for the control of human haemoprotozoa, especially Plasmodium species. Currently, there is little understanding of how pyrimethamine resistance developed in Plasmodium vivax in the natural field conditions. Here, we present first time the evidence of positive selection pressure on a dihydrofolate reductase locus and its consequences on the emergence and the spread of pyrimethamine resistance in P. vivax in the Punjab province of Pakistan. First, we examined the pyrimethamine resistance locus in 38 P. vivax populations to look for evidence of positive selection pressure in human patients. The S58R (AGA)/S117N (AAC) double mutation was most common, being detected in 10/38 populations. Single mutation S117N (AAC), I173L (CTT) and S58R (AGA) SNPs were detected in 8/38, 2/38 and 1/38 populations, respectively. The F57L/I (TTA/ATA) and T61M (ATG) SNPs were not detected in any population examined. Although both soft and hard selective sweeps have occurred with striking differences between populations, there was a predominance of hard sweeps. A single resistance haplotype was present at high frequency in 9/14 populations, providing a strong evidence for the single emergence of these mutations. In contrast, 5/14 populations carried multiple resistance haplotypes at high frequencies, providing an evidence of the emergence of resistance by recurrent mutations, characteristics of soft selective sweeps. Our phylogenetic relationship analysis suggests that S58R (AGA)/S117N (AAC) and S117N (AAC) mutations arose multiple times from a single origin and spread to multiple different cities in the Punjab province through gene flow. Interestingly, the I173L (CTT) mutation was present on a single haplotype, suggesting that it arises rarely and has not spread between cities. Our work shows the need for responsible use of exiting and new antimicrobial drugs and their combinations, control the movement of infected patients and mosquito vector control strategies.

evolutionary biology↗

bioRxiv2017

Improved prediction of Bovine Leucocyte Antigens (BoLA) presented ligands by use of MS eluted ligands and in-vitro binding data; impact for the identification T cell epitopes

Peptide binding to MHC class I molecules is the single most selective step in antigen presentation and the strongest single correlate to peptide cellular immunogenicity. The cost of experimentally characterizing the rules of peptide presentation for a given MHC-I molecule is extensive, and predictors of peptide-MHC interactions constitute an attractive alternative.\n\nRecently, an increasing amount of MHC presented peptides identified by mass spectrometry (MS ligands) has been published. Handling and interpretation of MS ligand data is in general challenging due to the poly-specificity nature of the data. We here outline a general pipeline for dealing with this challenge, and accurately annotate ligands to the relevant MHC-I molecule they were eluted from by use of GibbsClustering and binding motif information inferred from in-silico models. We illustrate the approach here in the context of MHCI molecules (BoLA) of cattle. Next, we demonstrate how such annotated BoLA MS ligand data can readily be integrated with in-vitro binding affinity data in a prediction model with very high and unprecedented performance for identification of BoLA-I restricted T cell epitopes.\n\nThe approach has here been applied to the BoLA-I system, but the pipeline is readily applicable to MHC systems in other species.

immunology↗