ArticleJournal of molecular evolution2013
Accessible mutational trajectories for the evolution of pyrimethamine resistance in the malaria parasite Plasmodium vivax.
Article in Journal of molecular evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 26 citations in OpenAlex.
- Deconstructing empirical fitness seascapes across scales of granularity.G3 (Bethesda, Md.) · 2026Article
- Contrasting evolutionary trajectories of pyrimethamine resistance in human and zoonotic malaria parasites.Malaria journal · 2026Article
- Deconstructing empirical fitness seascapes across scales of granularity.bioRxiv : the preprint server for biology · 2026Article
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- Unbiased inference of the fitness landscape ruggedness from imprecise fitness estimates.Evolution; international journal of organic evolution · 2021Article
- Evolutionary constraints in fitness landscapes.Heredity · 2018Article
- The Influence of Higher-Order Epistasis on Biological Fitness Landscape Topography.Journal of statistical physics · 2018Article
- A New Take on John Maynard Smith's Concept of Protein Space for Understanding Molecular Evolution.PLoS computational biology · 2016Article
- How mutational epistasis impairs predictability in protein evolution and design.Protein science : a publication of the Protein Society · 2016Article
- Combinatorial Genetic Modeling of pfcrt-Mediated Drug Resistance Evolution in Plasmodium falciparum.Molecular biology and evolution · 2016Article
- Epistasis and the Structure of Fitness Landscapes: Are Experimental Fitness Landscapes Compatible with Fisher's Geometric Model?Genetics · 2016Article
- Biophysical principles predict fitness landscapes of drug resistance.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- A pivot mutation impedes reverse evolution across an adaptive landscape for drug resistance in Plasmodium vivax.Malaria journal · 2016Article
- Adaptive Landscape by Environment Interactions Dictate Evolutionary Dynamics in Models of Drug Resistance.PLoS computational biology · 2016Article
- What can we learn from fitness landscapes?Current opinion in microbiology · 2014Review
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4 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Antifolate antimalarials, such as pyrimethamine, have experienced a dramatic reduction in therapeutic efficacy as resistance has evolved in multiple malaria species. We present evidence from one such species, Plasmodium vivax, which has experienced sustained selection for pyrimethamine resistance at the dihydrofolate reductase (DHFR) locus since the 1970s. Using a transgenic Saccharomyces cerevisiae model expressing the P. vivax DHFR enzyme, we assayed growth rate and resistance of all 16 combinations of four DHFR amino acid substitutions. These substitutions were selected based on their known association with drug resistance, both in natural isolates and in laboratory settings, in the related malaria species P. falciparum. We observed a strong correlation between the resistance phenotypes for these 16 P. vivax alleles and previously observed resistance data for P. falciparum, which was surprising since nucleotide diversity levels and common polymorphic variants of DHFR differ between the two species. Similar results were observed when we expressed the P. vivax alleles in a transgenic bacterial system. This suggests common constraints on enzyme evolution in the orthologous DHFR proteins. The interplay of negative trade-offs between the evolution of novel resistance and compromised endogenous function varies at different drug dosages, and so too do the major trajectories for DHFR evolution. In simulations, it is only at very high drug dosages that the most resistant quadruple mutant DHFR allele is favored by selection. This is in agreement with common polymorphic DHFR data in P. vivax, from which this quadruple mutant is missing. We propose that clinical dosages of pyrimethamine may have historically been too low to select for the most resistant allele, or that the fitness cost of the most resistant allele was untenable without a compensatory mutation elsewhere in the genome.
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