PreprintCited by 32Parasitic Infections and DiagnosticsNematode management and characterization studiesEntomopathogenic Microorganisms in Pest Control

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Genomic and phenotypic evolution of nematode-infecting microsporidia

Open access
Wadi, Lina, El Jarkass, Hala Tamim, Tran, Tuan D., Islah, Nizar, Luallen, Robert J., Reinke, Aaron W.·2022·PLoS Pathogens

Preprint — published as 10.1371/journal.ppat.1011510 · Paper page

Abstract

Microsporidia are a large phylum of intracellular parasites that can infect most types of animals. Species in the Nematocida genus can infect nematodes including Caenorhabditis elegans , which has become an important model to study mechanisms of microsporidia infection. To understand the genomic properties and evolution of nematode-infecting microsporidia, we sequenced the genomes of nine species of microsporidia, including two genera, Enteropsectra and Pancytospora, without any previously sequenced genomes. Core cellular processes, including metabolic pathways, are mostly conserved across genera of nematode-infecting microsporidia. Each species encodes unique proteins belonging to large gene families that are likely used to interact with host cells. Most strikingly, we observed one such family, NemLGF1, is present in both Nematocida and Pancytospora species, suggesting horizontal gene transfer between species from different genera. To understand how Nematocida phenotypic traits evolved, we measured the host range, tissue specificity, spore size, and polar tube length of several species in the genus. Our phylogenetic analysis shows that Nematocida is composed of two groups of species with distinct traits and that species with longer polar tubes infect multiple tissues. Together, our work details both genomic and trait evolution between related microsporidia species and provides a useful resource for further understanding microsporidia evolution and infection mechanisms. Author Summary: Microsporidia are microbial parasites that can infect many animals. Nematodes have become a useful system to study microsporidia as these animals are commonly infected by microsporidia and these infections can be easily studied in a laboratory environment. To better understand how microsporidia evolve and change their properties as they infect different hosts, we sequenced the genomes of nine microsporidia species which infect nematodes. We found that metabolic pathways were mostly conserved between different clades of these species. Surprisingly, we found a family of proteins predicted to facilitate host interactions that is present in two distinct genera, suggesting that these genes were transferred between microsporidia species. We also determined the hosts and tissues that these microsporidia can infect as well as morphological properties of the microsporidia. We show that these properties are quite variable in related microsporidia species. Our results provide insight into the evolution of microsporidia and also provide a resource for studying microsporidia infections in nematodes.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2022.08.28.505597

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Flagged first, then by citations

Research works printed but not linked: 78

  1. 10.1016/B978-0-12-407706-5.00004-6 · DOI
  2. 10.1038/35106579 · DOI
  3. 10.1371/journal.ppat.1008276 · DOI
  4. 10.1186/1741-7007-10-47 · DOI
  5. 10.1101/gr.142802.112 · DOI
  6. 10.1016/j.cub.2021.01.074 · DOI
  7. 10.1007/978-3-030-93306-7_8 · DOI
  8. 10.7554/eLife.29594 · DOI
  9. 10.1073/pnas.1410442111 · DOI
  10. 10.1093/gbe/evt184 · DOI
  11. 10.1038/s41564-019-0514-6 · DOI
  12. 10.1371/journal.pbio.3000958 · DOI
  13. 10.1038/s41467-022-28281-0 · DOI
  14. 10.1038/ncomms8121 · DOI
  15. 10.1111/1462-2920.13734 · DOI
  16. 10.1007/978-3-030-93306-7_4 · DOI
  17. Murareanu BM , Sukhdeo R , Qu R , Jiang J , Reinke AW , Weiss LM . Generation of a Microsporidia Species Attribute Database and Analysis of the Extensive Ecological and Phenotypic Diversity of Microsporidia. mBio. 2021. pp. e01490–21. · DOI
  18. 10.1371/journal.ppat.1005724 · DOI
  19. 10.1371/journal.ppat.1006093 · DOI
  20. 10.1371/journal.pbio.0060309 · DOI
  21. 10.1038/ncomms14023 · DOI
  22. 10.1126/sciadv.abf3114 · DOI
  23. 10.7554/eLife.72458 · DOI
  24. 10.1371/journal.ppat.1004200 · DOI
  25. 10.1073/pnas.1400696111 · DOI
  26. 10.1038/s41467-022-33400-y · DOI
  27. 10.1007/978-3-030-93306-7_5 · DOI
  28. 10.1111/cmi.13247 · DOI
  29. 10.1371/journal.pone.0279103 · DOI
  30. 10.1101/2022.06.20.496912 · DOI
  31. 10.1186/s13059-019-1832-y · DOI · Paper page
  32. 10.14411/fp.2005.017 · DOI
  33. 10.1016/j.pt.2022.05.007 · DOI
  34. 10.1371/journal.ppat.1007668 · DOI
  35. 10.1016/j.meegid.2018.08.011 · DOI
  36. 10.1007/s00294-006-0114-x · DOI
  37. 10.1038/s41592-022-01488-1 · DOI · Paper page
  38. 10.1002/prot.22458 · DOI
  39. 10.1371/journal.pgen.1003676 · DOI
  40. 10.3791/63636 · DOI
  41. 10.1128/microbiolspec.FUNK-0018-2016 · DOI
  42. 10.2307/1542078 · DOI
  43. 10.1093/bioadv/vbab030 · DOI
  44. 10.1093/gbe/evac053 · DOI
  45. 10.1093/bioinformatics/bti204 · DOI
  46. 10.1016/j.tig.2020.08.006 · DOI
  47. 2020, A new method of metabarcoding Microsporidia and their hosts reveals high levels of microsporidian infections in mosquitoes (Culicidae), Molecular Ecology Resources, 20, 1486, 10.1111/1755-0998.13205 · DOI
  48. 10.1371/journal.ppat.1005283 · DOI
  49. 10.7717/peerj.5658 · DOI
  50. Paldi N , Glick E , Oliva M , Zilberberg Y , Aubin L , Pettis J , et al. Effective Gene Silencing in a Microsporidian Parasite Associated with Honeybee (Apis mellifera) Colony Declines. Applied and Environmental Microbiology. 2010. pp. 5960–5964. · DOI
  51. 10.1089/nat.2016.0613 · DOI
  52. 10.1002/arch.21734 · DOI
  53. 10.1186/s13071-021-04595-8 · DOI
  54. 10.1111/jeu.12410 · DOI
  55. 10.1016/S1046-2023(03)00050-1 · DOI
  56. 10.1895/wormbook.1.115.2 · DOI
  57. Martin M . Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal. 2011. p. 3. · DOI · Paper page
  58. 10.1093/bioinformatics/btu170 · DOI · Paper page
  59. 10.1038/nmeth.1923 · DOI · Paper page
  60. 10.1101/gr.089532.108 · DOI
  61. 10.12688/f1000research.12232.1 · DOI
  62. 10.1093/nar/gkw294 · DOI
  63. 10.1093/nar/gkn201 · DOI
  64. 10.1186/1471-2105-11-119 · DOI
  65. 10.1371/journal.pcbi.1002195 · DOI · Paper page
  66. 10.1093/nar/gkv1344 · DOI · Paper page
  67. 10.1038/nmeth.1701 · DOI · Paper page
  68. 10.1006/jmbi.2000.4315 · DOI · Paper page
  69. 10.1016/j.jmb.2015.11.006 · DOI
  70. 10.1016/j.cub.2013.06.057 · DOI
  71. 10.1093/bioinformatics/btv351 · DOI · Paper page
  72. 10.1093/nar/gky1100 · DOI · Paper page
  73. 10.1101/gr.1224503 · DOI · Paper page
  74. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment | Nature Methods. [cited 12 Aug 2022]. Available: https://www.nature.com/articles/nmeth.1818
  75. Using Dali for Protein Structure Comparison - PubMed. [cited 12 Aug 2022]. Available: https://pubmed.ncbi.nlm.nih.gov/32006276/
  76. 10.1093/nar/gkh340 · DOI · Paper page
  77. 10.1038/nmeth.2019 · DOI · Paper page
  78. 10.1038/nmeth.2089 · DOI · Paper page

Metadata

Authors
Wadi, L., El Jarkass, H. T., Tran, T. D., Islah, N., Luallen, R. J., & Reinke, A. W.
Affiliations
  • University of Toronto (CA)
  • San Diego State University (US)
Corresponding author
Reinke, Aaron W.
Venue
PLoS Pathogens
Publisher
openRxiv
Published
2022-08-28
Volume
19
Issue
7
Pages
e1011510-e1011510
ISSN
1553-7366 (ISSN-L)
OpenAlex
W4384924210
Cited by
32
References
1
Citations by year
2026: 13 · 2025: 4 · 2024: 10 · 2023: 3 · 2022: 2
FWCI
7.01
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • PLoS Pathogens (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Science Foundation (P40 OD010440, CAREER, 2143718)
  • Alfred P. Sloan Foundation (FG-2019-12040)
  • University of Toronto
  • National Institutes of Health (OD010440, P40OD010440)
  • Canadian Institutes of Health Research (FG2019-12040, P40 OD010440, 400784)
  • Division of Integrative Organismal Systems
Topics
  • Life Sciences › Immunology and Microbiology › Parasitology › Parasitic Infections and Diagnostics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Nematode management and characterization studies
  • Life Sciences › Agricultural and Biological Sciences › Insect Science › Entomopathogenic Microorganisms in Pest Control
Keywords
microsporidia, genome evolution, phenotypic evolution, host range, tissue specificity, spore size, host-parasite interactions, Caenorhabditis elegans, phylogenetic analysis
MeSH terms
Animals, Nematoda, Phylogeny, Microsporidia, Caenorhabditis elegans, Genomics

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