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Genome instability drives epistatic adaptation in the human pathogen Leishmania

Giovanni Bussotti, Laura Piel, Pascale Pescher, Malgorzata A. Domagalska, K. Shanmugha Rajan, Smadar Cohen-Chalamish, Tirza Doniger, Disha Gajanan Hiregange, Peter J. Myler, Ron Unger, Shulamit Michaeli, Gerald F. Spath

Research output: Contribution to journalArticlepeer-review

Abstract

How genome instability is harnessed for fitness gain despite its potential deleterious effects is largely elusive. An ideal system to address this important open question is provided by the protozoan pathogen Leishmania, which exploits frequent variations in chromosome and gene copy number to regulate expression levels. Using ecological genomics and experimental evolution approaches, we provide evidence that Leishmania adaptation relies on epistatic interactions between functionally associated gene copy number variations in pathways driving fitness gain in a given environment. We further uncover posttranscriptional regulation as a key mechanism that compensates for deleterious gene dosage effects and provides phenotypic robustness to genetically heterogenous parasite populations. Finally, we correlate dynamic variations in small nucleolar RNA (snoRNA) gene dosage with changes in ribosomal RNA 20-O-methylation and pseudouridylation, suggesting translational control as an additional layer of parasite adaptation. Leishmania genome instability is thus harnessed for fitness gain by genome-dependent variations in gene expression and genome-independent compensatory mechanisms. This allows for polyclonal adaptation and maintenance of genetic heterogeneity despite strong selective pressure. The epistatic adaptation described here needs to be considered in Leishmania epidemiology and biomarker discovery and may be relevant to other fast-evolving eukaryotic cells that exploit genome instability for adaptation, such as fungal pathogens or cancer.

Original languageEnglish
Article numbere2113744118
Number of pages8
JournalProceedings of the National Academy of Sciences of the United States of America
Volume118
Issue number51
DOIs
StatePublished - 21 Dec 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Epistatic interactions
  • Evolutionary adaptation
  • Fitness gain
  • Genome instability
  • Posttranscriptional regulation

All Science Journal Classification (ASJC) codes

  • General

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