Evidence map›Paper›PMID 36263068›Full record

ArticlebioRxiv : the preprint server for biology2022

Rapid transmission and tight bottlenecks constrain the evolution of highly transmissible SARS-CoV-2 variants.

Emily E Bendall, Amy Callear, Amy Getz, Kendra Goforth, Drew Edwards, Arnold S Monto, Emily T Martin, Adam S Lauring

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Emily E BendallDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA.
Amy CallearDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Amy GetzDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Kendra GoforthDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Drew EdwardsDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Arnold S MontoDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Emily T MartinDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Adam S LauringDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA.
University of Michigan · US

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00015 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENSLEY, SCOTT · 2021 to 2025
$50.7M
Evolution and Transmission of Influenza Virus in Natural Human InfectionR01AI148371 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAURING, ADAM, MARTIN, EMILY TOTH · 2020 to 2024
$3.6M
NCIRD CDC HHS U01 IP001034NIAID NIH HHS 75N93021C00015NIAID NIH HHS R01 AI148371
6 · The paper itself

Abstract

Transmission bottlenecks limit the spread of novel mutations and reduce the efficiency of natural selection along a transmission chain. Many viruses exhibit tight bottlenecks, and studies of early SARS-CoV-2 lineages identified a bottleneck of 1-3 infectious virions. While increased force of infection, host receptor binding, or immune evasion may influence bottleneck size, the relationship between transmissibility and the transmission bottleneck is unclear. Here, we compare the transmission bottleneck of non-variant-of-concern (non-VOC) SARS-CoV-2 lineages to those of the Alpha, Delta, and Omicron variants. We sequenced viruses from 168 individuals in 65 multiply infected households in duplicate to high depth of coverage. In 110 specimens collected close to the time of transmission, within-host diversity was extremely low. At a 2% frequency threshold, 51% had no intrahost single nucleotide variants (iSNV), and 42% had 1-2 iSNV. In 64 possible transmission pairs with detectable iSNV, we identified a bottleneck of 1 infectious virion (95% CI 1-1) for Alpha, Delta, and Omicron lineages and 2 (95% CI 2-2) in non-VOC lineages. The latter was driven by a single iSNV shared in one non-VOC household. The tight transmission bottleneck in SARS-CoV-2 is due to low genetic diversity at the time of transmission, a relationship that may be more pronounced in rapidly transmissible variants. The tight bottlenecks identified here will limit the development of highly mutated VOC in typical transmission chains, adding to the evidence that selection over prolonged infections in immunocompromised patients may drive their evolution.

Identifiers

PMID36263068
PMCPMC9580385
OpenAlexW4306318359

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.