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Systematic in vitro evolution in Plasmodium falciparum reveals key determinants of drug resistance.

Authors :
Luth MR
Godinez-Macias KP
Chen D
Okombo J
Thathy V
Cheng X
Daggupati S
Davies H
Dhingra SK
Economy JM
Edgar RCS
Gomez-Lorenzo MG
Istvan ES
Jado JC
LaMonte GM
Melillo B
Mok S
Narwal SK
Ndiaye T
Ottilie S
Palomo Diaz S
Park H
Peña S
Rocamora F
Sakata-Kato T
Small-Saunders JL
Summers RL
Tumwebaze PK
Vanaerschot M
Xia G
Yeo T
You A
Gamo FJ
Goldberg DE
Lee MCS
McNamara CW
Ndiaye D
Rosenthal PJ
Schreiber SL
Serra G
De Siqueira-Neto JL
Skinner-Adams TS
Uhlemann AC
Kato N
Lukens AK
Wirth DF
Fidock DA
Winzeler EA
Source :
Science (New York, N.Y.) [Science] 2024 Nov 29; Vol. 386 (6725), pp. eadk9893. Date of Electronic Publication: 2024 Nov 29.
Publication Year :
2024

Abstract

Surveillance of drug resistance and the discovery of novel targets-key objectives in the fight against malaria-rely on identifying resistance-conferring mutations in Plasmodium parasites. Current approaches, while successful, require laborious experimentation or large sample sizes. To elucidate shared determinants of antimalarial resistance that can empower in silico inference, we examined the genomes of 724 Plasmodium falciparum clones, each selected in vitro for resistance to one of 118 compounds. We identified 1448 variants in 128 recurrently mutated genes, including drivers of antimalarial multidrug resistance. In contrast to naturally occurring variants, those selected in vitro are more likely to be missense or frameshift, involve bulky substitutions, and occur in conserved, ordered protein domains. Collectively, our dataset reveals mutation features that predict drug resistance in eukaryotic pathogens.

Details

Language :
English
ISSN :
1095-9203
Volume :
386
Issue :
6725
Database :
MEDLINE
Journal :
Science (New York, N.Y.)
Publication Type :
Academic Journal
Accession number :
39607932
Full Text :
https://doi.org/10.1126/science.adk9893