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Record W4391003992 · doi:10.1016/j.meegid.2024.105557

Molecular epidemiology and phylogeny of the emerging zoonotic virus Rocahepevirus: A global genetic analysis

2024· article· en· W4391003992 on OpenAlexaboutno aff
Han Wu, Lu Zhou, Fengge Wang, Zixiang Chen, Yihan Lu

Bibliographic record

VenueInfection Genetics and Evolution · 2024
Typearticle
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsBiologyPhylogeneticsMolecular epidemiologyEvolutionary biologyMolecular phylogeneticsVirologyZoologyComputational biologyGeneticsGenotypeGene

Abstract

fetched live from OpenAlex

Human infections with Rocahepevirus ratti genotype C1 (HEV-C1) in Hong Kong of China, Canada, Spain, and France have drawn worldwide concern towards Rocahepevirus. This study conducted a global genetic analysis of Rocahepevirus, aiming to furnish comprehensive molecular insights and promote further research. We retrieved 817 Rocahepevirus sequences from the GenBank database through October 31, 2023, categorizing them according to research, sample collection area and date, genotype, host, and sequence length. Subsequently, we conducted descriptive epidemiological, phylogenetic evolutionary, and protein polymorphism (in length and identity) analyses on these sequences. Rocahepevirus genomes were identified across twenty-eight countries, predominantly in Asia (71.73%, 586/817) and Europe (26.44%, 216/817). The HEV-C1 dominates Rocahepevirus (77.2%, 631/817), while newly discovered Rocahepevirus genotypes (C3/C4/C5 and other unclassified genotypes) were primarily identified in Europe (25/120) and China (91/120). Muridae animals (72.5%, 592/817) serve as the primary hosts for Rocahepevirus, with other hosts encompassing species from the families Soricidae, Hominidae, Mustelidae, and Cricetidae. Additionally, Rocahepevirus genomes (C1 genotype) were identified in sewage samples recently. The phylogenetic evolution of Rocahepevirus exhibits considerable variation. Specifically, HEV-C1 can be classified into at least six genetic groups (G1 to G6), with human HEV-C1 distributed across multiple evolutionary clades. The overall ORF1 and ORF2 amino acid sequence lengths were significantly different (P < 0.001) across Rocahepevirus genotypes. HEV-C1/C2/C3 and HEV-C4/C5 displayed substantial differences in amino acid sequence identity (58.4%-59.6%). The identification of Rocahepevirus genomes has expanded across numerous countries, particularly in European and Asian countries, coinciding with an expanding host range and emergence of new genotypes. The evolutionary path of Rocahepevirus is intricate, where the HEV-C1 dominates globally and internally forms multiple evolutionary groups (G1 to G6), exhibiting diverse genetic variation within human HEV-C1. Significant differences exist in the protein polymorphism (in length and identity) across Rocahepevirus genotypes. Given Rocahepevirus's shift from an animal virus to a zoonotic pathogen, worldwide cooperation in monitoring Rocahepevirus genomes is vital.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.314
Teacher spread0.292 · 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

Citations16
Published2024
Admission routes1
Has abstractyes

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