The evolutionary origins of the lysosome-related organelle sorting machinery reveal fundamental homology in post-endosome trafficking pathways
More, K. J.; Dacks, J. B.; Manna, P. T.
Show abstract
The major organelles and pathways of the endomembrane system were in place by the time of the last eukaryotic common ancestor (LECA) ([~]1.5 billion years ago) and their acquisition were defining milestones during the process of eukaryogenesis itself. Comparative cell biology and evolutionary analyses show multiple instances of homology in the protein machinery controlling distinct inter-organelle trafficking routes. Resolving these homologous relationships allows us to explore processes underlying the emergence of new cellular compartments, infer ancestral states pre-dating LECA, and can even provide insight into the process of eukaryogenesis itself. Here we undertake a molecular evolutionary analysis, including providing a transcriptome of the jakobid flagellate Reclinomonas americana, exploring the origins of the machinery responsible for the biogenesis of lysosome-related organelles, the so-called Biogenesis of Lysosome-related Organelle Complexes (BLOCs 1,2, and 3). This pathway has been studied only in animals and is not considered a feature of the basic eukaryotic cell plan. We show that this machinery, and by inference the corresponding sorting pathway, was likely in place prior to the divergence of eukaryotes and is found in a much more diverse array of eukaryotes than is currently assumed. As such, this sorting pathway is likely an underappreciated facet of broader eukaryotic cellular function. Moreover, we resolve multiple points of ancient homology between all three BLOCs and other post-endosomal retrograde trafficking machinery (BORC, CCZ1/MON1, and a newly identified relationship with HOPS/CORVET) offering a mechanistic and evolutionary unification of these trafficking pathways. Overall, this study provides a comprehensive account of the rise of the LRO biogenesis machinery from prokaryotic origins to current eukaryotic diversity, Asgard archaea to animals, integrating it into the larger mechanistic framework describing endomembrane evolution.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A putative origin of insect chemosensory receptors in the last common eukaryotic ancestor 96%
- G protein-coupled receptor diversity and evolution in the closest living relatives of Metazoa 95%
- Structural screens identify candidate human homologs of insect chemoreceptors and cryptic Drosophila gustatory receptor-like proteins 94%
Similar papers in this journal
- Increased sampling and intra-complex homologies favor vertical over horizontal inheritance of the Dam1 complex 96%
- A eukaryote-wide perspective on the diversity and evolution of the ARF GTPase protein family 96%
- Matreex: compact and interactive visualisation for scalable studies of large gene families 94%
Similar papers in this journal
- Label-free proteomic comparison reveals ciliary and non- ciliary phenotypes of IFT-A mutants 93%
- Cryo-electron tomography of eel sperm flagella reveals a molecular "minimum system" for motile cilia 93%
- Proteomic analysis of microtubule inner proteins (MIPs) in Rib72 null Tetrahymena cells reveals functional MIPs 93%
Similar papers in this journal
- Reduced mitochondria provide an essential function for the cytosolic methionine cycle 95%
- An internally controlled system to study microtubule network diversification links tubulin evolution to the use of distinct microtubule regulators 93%
- Structure of the ciliary tip central pair reveals the unique role of the microtubule-seam binding protein SPEF1 93%
Similar papers in this journal
- Molecular phylogeny of the SELMA translocation machinery recounts the evolution of complex photosynthetic eukaryotes. 96%
- A comprehensive phylogenetic analysis of the serpin superfamily 95%
- The ancestral shape of the access proton path of mitochondrial ATP synthases revealed by a split subunit-a 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.