Evolutionary Profile for (Host and Viral) MLKL Indicates Its Activities as a Battlefront for Extensive Counteradaptation.
Suzette N PalmerSruthi ChappidiChelsea PinkhamDustin C HancksPublished in: Molecular biology and evolution (2022)
Pathogen infection triggers host innate defenses which may result in the activation of regulated cell death (RCD) pathways such as apoptosis. Given a vital role in immunity, apoptotic effectors are often counteracted by pathogen-encoded antagonists. Mounting evidence indicates that programmed necrosis, which is mediated by the RIPK3/MLKL axis and termed necroptosis, evolved as a countermeasure to pathogen-mediated inhibition of apoptosis. Yet, it is unclear whether components of this emerging RCD pathway display signatures associated with pathogen conflict that are rare in combination but common to key host defense factors, namely, rapid evolution, viral homolog (virolog), and cytokine induction. We leveraged evolutionary sequence analysis that examines rates of amino acid replacement, which revealed: 1) strong and recurrent signatures of positive selection for primate and bat RIPK3 and MLKL, and 2) elevated rates of amino acid substitution on multiple RIPK3/MLKL surfaces suggestive of past antagonism with multiple, distinct pathogen-encoded inhibitors. Furthermore, our phylogenomics analysis across poxvirus genomes illuminated volatile patterns of evolution for a recently described MLKL viral homolog. Specifically, poxviral MLKLs have undergone numerous gene replacements mediated by duplication and deletion events. In addition, MLKL protein expression is stimulated by interferons in human and mouse cells. Thus, MLKL displays all three hallmarks of pivotal immune factors of which only a handful of factors like OAS1 exhibit. These data support the hypothesis that over evolutionary time MLKL functions-which may include execution of necroptosis-have served as a major determinant of infection outcomes despite gene loss in some host genomes.
Keyphrases
- cell death
- cell cycle arrest
- genome wide
- amino acid
- candida albicans
- sars cov
- oxidative stress
- endoplasmic reticulum stress
- immune response
- induced apoptosis
- dna methylation
- machine learning
- metabolic syndrome
- type diabetes
- pi k akt
- adipose tissue
- escherichia coli
- genome wide identification
- deep learning
- big data
- sensitive detection
- genome wide analysis