Evidence map›Paper›PMID 35467366›Full record

ArticleMicrobiology spectrum2022

Distinct Potentially Adaptive Accumulation of Truncation Mutations in Salmonella enterica serovar Typhi and Salmonella enterica serovar Paratyphi A.

Stephy Mol Robinson, Vyshakh Rajachandran, Suchismita Majumdar, Satabdi Saha, Sneha Das, Sujay Chattopadhyay

Abstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. Review
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

6 authors.

Stephy Mol Robinson *Centre for Health Science and Technology, JIS Institute of Advanced Studies and Research Kolkata, JIS University, Kolkata, West Bengal, India.
Vyshakh Rajachandran *Centre for Health Science and Technology, JIS Institute of Advanced Studies and Research Kolkata, JIS University, Kolkata, West Bengal, India.
Suchismita MajumdarCentre for Health Science and Technology, JIS Institute of Advanced Studies and Research Kolkata, JIS University, Kolkata, West Bengal, India.
Satabdi SahaCentre for Health Science and Technology, JIS Institute of Advanced Studies and Research Kolkata, JIS University, Kolkata, West Bengal, India.
Sneha DasCentre for Health Science and Technology, JIS Institute of Advanced Studies and Research Kolkata, JIS University, Kolkata, West Bengal, India.
Sujay ChattopadhyayCentre for Health Science and Technology, JIS Institute of Advanced Studies and Research Kolkata, JIS University, Kolkata, West Bengal, India.ORCID 0000-0003-1785-2683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene inactivation through the accumulation of truncation (or premature stop codon) mutations is a common mode of evolution in bacteria. It is frequently believed to result from reductive evolutionary processes allowing purging of superfluous traits. However, several works have demonstrated that, similar to the occurrences of inactivating nonsynonymous (i.e., amino acid replacement) mutations under positive selection pressures, truncation mutations can also be adaptive where specific traits deleterious in particular environmental conditions need to be inactivated for survival. Here, we performed a comparative analysis of genome-wide accumulation of truncation mutations in Salmonella enterica serovar Typhi and Salmonella enterica serovar Paratyphi A. Considering the known convergent evolutionary trajectories in these two serovars, we expected a strong overlap of truncated genes in

Indexed as

Salmonella paratyphi ASalmonella typhiAmino AcidsMutationSerogroupAmino Acidsadaptive evolutionconvergent mutationpremature stop codonSalmonella Paratyphi ASalmonella Typhitruncation mutation

Identifiers

PMID35467366
PMCPMC9241588

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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.