Role of PIP39 in oxidative stress response appears conserved in kinetoplastids.

Kinetoplastids, a group of flagellated protists that are often insect intestinal parasites, encounter various sources of oxidative stress. Such stressors include reactive oxygen species, both internally produced within the protist, and induced externally by host immune responses. This investigation focuses on the role of a highly conserved aspartate-based protein phosphatase, PTP-Interacting protein (PIP39) in managing oxidative stress. In addition to its well accepted role in a Trypanosoma brucei life stage transition, there is evidence of PIP39 participation in the T. brucei oxidative stress response. To examine whether this latter PIP39 role may exist more broadly, we aimed to elucidate PIP39's contribution to redox homeostasis in the monoxenous parasite Leptomonas seymouri. Utilizing CRISPR-Cas9-mediated elimination of PIP39 in conjunction with oxidative stress assays, we demonstrate that PIP39 is required for cellular tolerance to oxidative stress in L. seymouri, positing it as a putative regulatory node for adaptive stress responses. We propose that future analysis of L. seymouri PIP39 enzymatic activity, regulation, and potential localization to a specialized organelle termed a glycosome will contribute to a deeper understanding of the molecular mechanisms by which protozoan parasites adapt to oxidative environments. Our study also demonstrates success at using gene editing tools developed for Leishmania for the related L. seymouri.

A Global Analysis of Enzyme Compartmentalization to Glycosomes.

In kinetoplastids, the first seven steps of glycolysis are compartmentalized into a glycosome along with parts of other metabolic pathways. This organelle shares a common ancestor with the better-understood eukaryotic peroxisome. Much of our understanding of the emergence, evolution, and maintenance of glycosomes is limited to explorations of the dixenous parasites, including the enzymatic contents of the organelle. Our objective was to determine the extent that we could leverage existing studies in model kinetoplastids to determine the composition of glycosomes in species lacking evidence of experimental localization. These include diverse monoxenous species and dixenous species with very different hosts. For many of these, genome or transcriptome sequences are available. Our approach initiated with a meta-analysis of existing studies to generate a subset of enzymes with highest evidence of glycosome localization. From this dataset we extracted the best possible glycosome signal peptide identification scheme for in silico identification of glycosomal proteins from any kinetoplastid species. Validation suggested that a high glycosome localization score from our algorithm would be indicative of a glycosomal protein. We found that while metabolic pathways were consistently represented across kinetoplastids, individual proteins within those pathways may not universally exhibit evidence of glycosome localization.