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Record W4296149849 · doi:10.1101/2022.09.14.508015

Transcriptional patterns of sexual dimorphism and in host developmental programs in the model parasitic nematode <i>Heligmosomoides bakeri</i>

2022· preprint· en· W4296149849 on OpenAlexaff
Stephen M. J. Pollo, Aralia Leon‐Coria, Hongrui Liu, Davide Cruces Gonzalez, Constance A. M. Finney, James D. Wasmuth

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiologyHeligmosomoides polygyrusSexual dimorphismTranscriptomeGeneParasite hostingGene expressionHelminthsEvolutionary biologyGeneticsZoology

Abstract

fetched live from OpenAlex

Abstract Heligmosomoides bakeri (often mistaken for Heligmosomoides polygyrus ) is a promising model for parasitic nematodes with the key advantage of being amenable to study and manipulation within a controlled laboratory environment. While draft genome sequences are available for this worm, which allow for comparative genomic analyses between nematodes, there is a notable lack of information on its gene expression. Here, we have generated biologically replicated RNA-seq datasets from samples taken throughout the parasitic life of H. bakeri . We find extensive transcriptional sexual dimorphism throughout the fourth larval and adult stages of this parasite and identify alternative splicing, glycosylation, and ubiquitination as particularly important processes for establishing and/or maintaining sex-specific gene expression in this species. Further, we find sex-linked differences in transcription related to aging and oxidative and osmotic stress responses. Additionally, we observe a starvation-like signature among transcripts whose expression is consistently up-regulated in males, which may reflect a higher energy expenditure by male worms. We detect evidence of increased importance for anaerobic respiration among the adult worms, which coincides with the parasite’s migration into the physiologically hypoxic environment of the intestinal lumen. Further, we hypothesize that oxygen concentration may be an important driver of the worms encysting in the intestinal mucosa as larvae, which not only fully exposes the worms to their host’s immune system, but also shapes many of the interactions between the host and parasite. We find stage- and sex-specific variation in the expression of immunomodulatory genes and in anthelmintic targets. In addition to generating new hypotheses for follow-up experiments into the worm’s behaviour, physiology, and metabolism, our datasets enable future more in-depth comparisons between nematodes to better define the utility of H. bakeri as a model for parasitic nematodes in general. Author Summary Parasitic nematodes (roundworms) that infect humans and livestock are a major health and economic burden but are challenging to study in a laboratory environment because of their required hosts. One strategy to get around this difficulty is to first study a rodent model to guide targeted experiments in the more difficult study system. Heligmosomoides bakeri is closely related to the nematode parasites of humans and livestock and naturally parasitizes mice. We have generated information on the expression of all the genes in this worm throughout the stages of its life when it is parasitic. This information allows us to examine how different the male and female worms are at the molecular level. We also describe major developmental events that occur in the worm, which extend our understanding of the interactions between this parasite and its host. We analyse the expression of genes known to be involved in interfering with host immune responses and others known to be targeted by drugs designed to kill worms. This new information will allow for better comparisons among nematodes to assess how well this rodent model system works for studying parasitic nematodes in general.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.258
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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