Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage

Rebecca R. Stanway(University of Bern), Ellen Bushell(Wellcome Sanger Institute), Anush Chiappino-Pepe(École Polytechnique Fédérale de Lausanne), Magali Roques(University of Bern), Theo Sanderson(Wellcome Sanger Institute), Blandine Franke‐Fayard(Leiden University Medical Center), Reto Caldelari(University of Bern), Murielle Golomingi(University of Bern), Mary Nyonda(University of Geneva), Vikash Pandey(École Polytechnique Fédérale de Lausanne), Frank Schwach(Wellcome Sanger Institute), Séverine Chevalley(Leiden University Medical Center), Jai Ramesar(Leiden University Medical Center), Tom Metcalf(Wellcome Sanger Institute), Colin Herd(Wellcome Sanger Institute), Paul‐Christian Burda(University of Bern), Julian C. Rayner(University of Cambridge), Dominique Soldati‐Favre(University of Geneva), Chris J. Janse(Leiden University Medical Center), Vassily Hatzimanikatis(École Polytechnique Fédérale de Lausanne), Oliver Billker(Wellcome Sanger Institute), Volker T. Heussler(University of Bern)
Cell
November 1, 2019
Cited by 151Open Access
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Abstract

Plasmodium gene functions in mosquito and liver stages remain poorly characterized due to limitations in the throughput of phenotyping at these stages. To fill this gap, we followed more than 1,300 barcoded P. berghei mutants through the life cycle. We discover 461 genes required for efficient parasite transmission to mosquitoes through the liver stage and back into the bloodstream of mice. We analyze the screen in the context of genomic, transcriptomic, and metabolomic data by building a thermodynamic model of P. berghei liver-stage metabolism, which shows a major reprogramming of parasite metabolism to achieve rapid growth in the liver. We identify seven metabolic subsystems that become essential at the liver stages compared with asexual blood stages: type II fatty acid synthesis and elongation (FAE), tricarboxylic acid, amino sugar, heme, lipoate, and shikimate metabolism. Selected predictions from the model are individually validated in single mutants to provide future targets for drug development.


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