Evidence map›Paper›PMID 37260377›Full record

ArticleMicrobiology spectrum2023

SARS-CoV-2 Co-Infections and Recombinations Identified by Long-Read Single-Molecule Real-Time Sequencing.

Pauline Trémeaux, Justine Latour, Noémie Ranger, Vénicia Ferrer, Agnès Harter, Romain Carcenac, Pauline Boyer, Sofia Demmou, Florence Nicot, Stéphanie Raymond and 1 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Hidden Markov models detect recombination and ancestry of SARS-CoV-2.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Pauline TrémeauxVirology Laboratory, Toulouse University Hospital, Toulouse, France.ORCID 0000-0001-8783-9885
Justine LatourVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Noémie RangerVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Vénicia FerrerVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Agnès HarterVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Romain CarcenacVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Pauline BoyerVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Sofia DemmouVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Florence NicotVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Stéphanie RaymondVirology Laboratory, Toulouse University Hospital, Toulouse, France.
Jacques IzopetVirology Laboratory, Toulouse University Hospital, Toulouse, France.ORCID 0000-0002-8462-3234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-infection with at least 2 strains of virus is the prerequisite for recombination, one of the means of genetic diversification. Little is known about the prevalence of these events in SARS-CoV-2, partly because it is difficult to detect them. We used long-read PacBio single-molecule real-time (SMRT) sequencing technology to sequence whole genomes and targeted regions for haplotyping. We identified 17 co-infections with SARS-CoV-2 strains belonging to different clades in 6829 samples sequenced between January and October, 2022 (prevalence 0.25%). There were 3 Delta/Omicron co-infections and 14 Omicron/Omicron co-infections (4 cases of 21K/21L, 1 case of 21L/22A, 2 cases of 21L/22B, 4 cases of 22A/22B, 2 cases of 22B/22C and 1 case of 22B/22E). Four of these patients (24%) also harbored recombinant minor haplotypes, including one with a recombinant virus that was selected in the viral quasispecies over the course of his chronic infection. While co-infections remain rare among SARS-CoV-2-infected individuals, long-read SMRT sequencing is a useful tool for detecting them as well as recombinant events, providing the basis for assessing their clinical impact, and a precise indicator of epidemic evolution.

Indexed as

CoinfectionCOVID-19HumansPandemicsRecombination, GeneticSARS-CoV-2co-infectiongenomic surveillancelong-read sequencingquasispeciesrecombinationSARS-CoV-2

Identifiers

PMID37260377
PMCPMC10434069

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.