The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
On the possibility of yet a third kinetochore system in the protist phylum Euglenozoa
Open accessPublished version of a preprint
Abstract
Transmission of genetic material from one generation to the next is a fundamental feature of all living cells. In eukaryotes, a macromolecular complex called the kinetochore plays crucial roles during chromosome segregation by linking chromosomes to spindle microtubules. Little is known about this process in evolutionarily diverse protists. Within the supergroup Discoba, Euglenozoa forms a speciose group of unicellular flagellates—kinetoplastids, euglenids, and diplonemids. Kinetoplastids have an unconventional kinetochore system, while euglenids have subunits that are conserved among most eukaryotes. For diplonemids, a group of extremely diverse and abundant marine flagellates, it remains unclear what kind of kinetochores are present. Here, we employed deep homology detection protocols using profile-versus-profile Hidden Markov Model searches and AlphaFold-based structural comparisons to detect homologies that might have been previously missed. Interestingly, we still could not detect orthologs for most of the kinetoplastid or canonical kinetochore subunits with few exceptions including a putative centromere-specific histone H3 variant (cenH3/CENP-A), the spindle checkpoint protein Mad2, the chromosomal passenger complex members Aurora and INCENP, and broadly conserved proteins like CLK kinase and the meiotic synaptonemal complex proteins SYCP2/3 that also function at kinetoplastid kinetochores. We examined the localization of five candidate kinetochore-associated proteins in the model diplonemid, Paradiplonema papillatum. Pp CENP-A shows discrete dots in the nucleus, implying that it is likely a kinetochore component. Pp Mad2, Pp CLK KKT10/19 , Pp SYCP2L1 KKT17/18 , and Pp INCENP reside in the nucleus, but no clear kinetochore localization was observed. Altogether, these results point to the possibility that diplonemids evolved a hitherto unknown type of kinetochore system. IMPORTANCE: A macromolecular assembly called the kinetochore is essential for the segregation of genetic material during eukaryotic cell division. Therefore, characterization of kinetochores across species is essential for understanding the mechanisms involved in this key process across the eukaryotic tree of life. In particular, little is known about kinetochores in divergent protists such as Euglenozoa, a group of unicellular flagellates that includes kinetoplastids, euglenids, and diplonemids, the latter being a highly diverse and abundant component of marine plankton. While kinetoplastids have an unconventional kinetochore system and euglenids have a canonical one similar to traditional model eukaryotes, preliminary searches detected neither unconventional nor canonical kinetochore components in diplonemids. Here, we employed state-of-the-art deep homology detection protocols but still could not detect orthologs for the bulk of kinetoplastid-specific nor canonical kinetochore proteins in diplonemids except for a putative centromere-specific histone H3 variant. Our results suggest that diplonemids evolved kinetochores that do not resemble previously known ones.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A. J., Bambrick, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07487-w · Cited by 15,861
OrthoFinder: phylogenetic orthology inference for comparative genomics
Emms, D. M., & Kelly, S. (2019) · Genome Biology · doi:10.1186/s13059-019-1832-y · Cited by 7,676
Fast and accurate protein structure search with Foldseek
van Kempen, M., Kim, S. S., Tumescheit, C., Mirdita, M., Lee, J., Gilchrist, C. L. M., Söding, J., & Steinegger, M. (2022) · doi:10.1101/2022.02.07.479398 · Cited by 2,598
Fast and accurate protein structure search with Foldseek
van Kempen, M., Kim, S. S., Tumescheit, C., Mirdita, M., Lee, J., Gilchrist, C. L. M., Söding, J., & Steinegger, M. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01773-0 · Cited by 2,596
Flagged first, then by citations
Research works printed but not linked: 101
- 10.1007/s12064-013-0184-5 · DOI
- 10.1515/bmc-2020-0001 · DOI
- 10.1101/cshperspect.a023218 · DOI
- 10.1038/s41580-023-00593-z · DOI
- 10.1016/j.cub.2019.07.031 · DOI
- 10.1007/978-3-319-58592-5_5 · DOI
- 10.1073/pnas.1821945116 · DOI
- 10.3390/biology6010005 · DOI
- 10.1146/annurev-genet-072820-034559 · DOI
- 10.1186/gb-2006-7-3-r23 · DOI
- 10.15252/embr.201744102 · DOI
- 10.1016/j.cub.2020.02.021 · DOI
- 10.1016/j.ceb.2021.12.007 · DOI
- 10.7554/eLife.03676 · DOI
- 10.1016/j.cub.2019.09.024 · DOI
- 10.1016/j.cub.2019.12.014 · DOI
- 10.1038/s41467-021-26077-2 · DOI
- 10.1242/jcs.245753 · DOI
- 10.1083/jcb.202111084 · DOI
- 10.1126/science.1112642 · DOI
- 10.1098/rsob.130023 · DOI
- 10.1016/j.cell.2014.01.049 · DOI
- 10.1098/rsob.150206 · DOI
- 10.1083/jcb.201608043 · DOI
- 10.1098/rsob.190236 · DOI
- 10.3389/fcimb.2021.641174 · DOI
- 10.1093/nar/gkp851 · DOI
- 10.1016/j.cub.2015.11.055 · DOI
- 10.1186/s12915-020-0754-1 · DOI
- 10.1038/s41598-021-82369-z · DOI
- 10.1098/rsob.210049 · DOI
- 10.1016/j.ejop.2016.09.003 · DOI
- 10.1098/rsob.200407 · DOI
- 10.1016/j.ympev.2021.107088 · DOI
- 10.1126/science.1261605 · DOI
- 10.1016/j.cub.2016.09.031 · DOI
- 10.1016/j.protis.2022.125868 · DOI
- 10.1111/1462-2920.15190 · DOI
- 10.1128/mbio.01921-23 · DOI
- 10.1101/2024.01.07.573240 · DOI
- 10.1111/1462-2920.14041 · DOI
- 10.1038/s41592-020-0796-x · DOI
- 10.1111/1462-2920.15130 · DOI
- 10.1098/rsob.220364 · DOI
- 10.1093/nar/gkad422 · DOI
- 10.1186/s12915-023-01563-9 · DOI
- 10.1186/s12915-021-01186-y · DOI
- 10.1007/978-1-4939-8736-8_13 · DOI
- 10.1093/bioinformatics/btt661 · DOI
- 10.1091/mbc.E13-12-0750 · DOI
- 10.1098/rsob.240025 · DOI · Paper page
- 10.1101/2020.01.27.920793 · DOI
- 10.1073/pnas.1420657112 · DOI
- 10.1016/j.celrep.2023.112668 · DOI
- 10.1093/gbe/evad017 · DOI
- 10.1016/j.tree.2019.08.008 · DOI · Paper page
- 10.1038/ncb2347 · DOI
- 10.1042/BST20130200 · DOI
- 10.1038/nsb996 · DOI
- 10.1016/s1097-2765(01)00435-x · DOI
- 10.1016/s0968-0004(98)01257-2 · DOI
- 10.1038/nrm3474 · DOI
- 10.1371/journal.pone.0002354 · DOI
- 10.7554/eLife.93522 · DOI
- 10.1016/s0960-9822(00)00673-4 · DOI
- 10.1016/j.molcel.2005.03.031 · DOI
- 10.1073/pnas.2200108119 · DOI
- 10.1146/annurev-genet-061323-044915 · DOI
- 10.1242/jcs.240978 · DOI
- 10.1146/annurev.arplant.50.1.97 · DOI
- 10.3390/ijms22116047 · DOI
- 10.15252/embr.201744216 · DOI
- 10.1038/s42003-022-04280-1 · DOI
- 10.1111/j.1550-7408.1973.tb00895.x · DOI
- 10.1016/S0932-4739(11)80003-9 · DOI
- 10.1242/jcs.01515 · DOI
- 10.1038/s41586-018-0281-1 · DOI
- 10.1080/19491034.2024.2310452 · DOI
- 10.1186/s12915-019-0626-8 · DOI
- 10.3389/fmicb.2021.658721 · DOI
- 10.1016/j.pt.2023.08.004 · DOI
- 10.1093/nar/gkz1215 · DOI
- 10.1038/s41598-017-14286-z · DOI
- 10.1093/gbe/evac099 · DOI
- 10.1038/nprot.2013.084 · DOI · Paper page
- 10.1093/bioinformatics/btq003 · DOI
- 10.1371/journal.pone.0259871 · DOI
- 10.1038/nbt.3988 · DOI · Paper page
- 10.24072/pcjournal.173 · DOI
- 10.1038/s41592-022-01488-1 · DOI · Paper page
- 10.1093/bioinformatics/14.9.755 · DOI · Paper page
- 10.1093/molbev/mst010 · DOI · Paper page
- 10.1186/s12859-019-3019-7 · DOI · Paper page
- 10.1101/gr.1239303 · DOI · Paper page
- 10.1038/s42003-023-05501-x · DOI · Paper page
- 10.1093/molbev/msaa015 · DOI · Paper page
- 10.1038/nmeth.4285 · DOI · Paper page
- 10.1021/pr700658q · DOI
- 10.1038/nbt.1511 · DOI · Paper page
- 10.1007/978-1-4939-7493-1_7 · DOI
- 10.1093/nar/gkab1038 · DOI · Paper page
Metadata
- Authors
- Benz, C., Raas, M. W. D., Tripathi, P., Faktorová, D., Tromer, E. C., Akiyoshi, B., & Lukeš, J.
- Affiliations
- Czech Academy of Sciences (CZ)
- Utrecht University (NL)
- University of Groningen (NL)
- Wellcome Centre for Cell Biology (GB)
- Corresponding author
- Tromer, Eelco C.
- Akiyoshi, Bungo
- Lukeš, Julius
- ORCID
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2024-12-11
- Volume
- 15
- Issue
- 12
- Pages
- e0293624-e0293624
- ISSN
- 2150-7511 (ISSN-L)
- PMC
- PMC11633173
- OpenAlex
- W4403888985
- Cited by
- 18
- References
- 5
- Citations by year
- 2026: 7 · 2025: 11
- FWCI
- 4.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Funders
- Wellcome Trust (227243/Z/23/Z, 203149)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Veni.202.223, 202.223, VI.Veni.202.223)
- Akademie Věd České Republiky (23-06479X)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Microtubule and mitosis dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Protist diversity and phylogeny
- Keywords
- kinetochore, Euglenozoa, diplonemids, kinetoplastids, Euglenophyta, chromosome segregation, centromere, Mad2, chromosomal passenger complex, SYCP2, INCENP
- MeSH terms
- Phylogeny, Protozoan Proteins, Kinetochores, Chromosome Segregation, Euglenozoa
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review