Literature DB >> 31730853

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

Rebecca R Stanway1, Ellen Bushell2, Anush Chiappino-Pepe3, Magali Roques1, Theo Sanderson4, Blandine Franke-Fayard5, Reto Caldelari1, Murielle Golomingi1, Mary Nyonda6, Vikash Pandey7, Frank Schwach4, Séverine Chevalley5, Jai Ramesar5, Tom Metcalf4, Colin Herd4, Paul-Christian Burda8, Julian C Rayner9, Dominique Soldati-Favre6, Chris J Janse5, Vassily Hatzimanikatis3, Oliver Billker10, Volker T Heussler11.   

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.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Plasmodium berghei; Plasmodium liver stage; amino sugar biosynthesis; fatty acid biosynthesis; fatty acid elongation; genome-scale knockout screen; genome-scale metabolic model; malaria; metabolic model; metabolic network

Mesh:

Substances:

Year:  2019        PMID: 31730853      PMCID: PMC6904910          DOI: 10.1016/j.cell.2019.10.030

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  94 in total

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