Integrative proteomics and bioinformatic prediction enable a high-confidence apicoplast proteome in malaria parasites.

Integrative proteomics and bioinformatic prediction enable a high-confidence apicoplast proteome in malaria parasites.

Malaria parasites (Plasmodium spp.) and related apicomplexan pathogens contain a nonphotosynthetic plastid called the apicoplast. Derived from an unusual secondary eukaryote-eukaryote endosymbiosis, the apicoplast is a fascinating organelle whose function and biogenesis rely on a complex amalgamatio...

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Bibliographic Details
Main Authors: Michael J Boucher, Sreejoyee Ghosh, Lichao Zhang, Avantika Lal, Se Won Jang, An Ju, Shuying Zhang, Xinzi Wang, Stuart A Ralph, James Zou, Joshua E Elias, Ellen Yeh
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-09-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.2005895

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https://doi.org/10.1371/journal.pbio.2005895

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