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Record W1965130837 · doi:10.4161/mge.18611

Microsporidia

2011· article· en· W1965130837 on OpenAlexafffund
Mohammed Selman, Nicolas Corradi

Bibliographic record

VenueMobile Genetic Elements · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsUniversity of OttawaCanadian Institute for Advanced Research
FundersUniversity of OttawaNatural Sciences and Engineering Research Council of CanadaCanadian Institute for Advanced Research
KeywordsMicrosporidiaObligateBiologyHorizontal gene transferGenomeGeneIntracellular parasiteGeneticsPhylogeneticsPhylogenetic treePurine nucleoside phosphorylaseEvolutionary biologyEcologyMicrobiologyPurine

Abstract

fetched live from OpenAlex

Microsporidia are obligate intracellular parasites whose genomes have been shaped by an extreme lifestyle. Specifically, their obligate intracellular parasitism has resulted in the loss of many genes and biochemical pathways, but these reductive processes have been often offset by the acquisition of several genes by means of horizontal gene transfer (HGT). Until recently, these HGTs were all found to have derived from prokaryotic donors, but a recent study suggests that some species took advantage of this mechanism to acquire one gene from an animal, which they maintained in their genome for metabolic purposes. The gene encodes for a purine nucleoside phosphorylase, and shows a strong phylogenetic signal of arthropod origin. Here, we briefly review our current knowledge of HGTs discovered across microsporidian genomes and discuss the implications of the most recent findings in this research area for understanding the origin and evolution of this highly adapted group of intracellular parasites. A novel gene potentially transferred by means of HGT to one microsporidia is also reported.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.011

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 head0.015
GPT teacher head0.239
Teacher spread0.224 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations15
Published2011
Admission routes2
Has abstractyes

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