Evidence map›Paper›PMID 36970680›Full record

ArticleFrontiers in microbiology2023

Variation in synonymous evolutionary rates in the SARS-CoV-2 genome.

Qianru Sun, Jinfeng Zeng, Kang Tang, Haoyu Long, Chi Zhang, Jie Zhang, Jing Tang, Yuting Xin, Jialu Zheng, Litao Sun and 2 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Qianru SunSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Jinfeng ZengSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Kang TangSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Haoyu LongSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Chi ZhangSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Jie ZhangSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Jing TangSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Yuting XinSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Jialu ZhengSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Litao SunSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Siyang LiuSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Xiangjun DuSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Coronavirus disease 2019 is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Influential variants and mutants of this virus continue to emerge, and more effective virus-related information is urgently required for identifying and predicting new mutants. According to earlier reports, synonymous substitutions were considered phenotypically silent; thus, such mutations were frequently ignored in studies of viral mutations because they did not directly cause amino acid changes. However, recent studies have shown that synonymous substitutions are not completely silent, and their patterns and potential functional correlations should thus be delineated for better control of the pandemic. Methods: In this study, we estimated the synonymous evolutionary rate (SER) across the SARS-CoV-2 genome and used it to infer the relationship between the viral RNA and host protein. We also assessed the patterns of characteristic mutations found in different viral lineages. Results: We found that the SER varies across the genome and that the variation is primarily influenced by codon-related factors. Moreover, the conserved motifs identified based on the SER were found to be related to host RNA transport and regulation. Importantly, the majority of the existing fixed-characteristic mutations for five important virus lineages (Alpha, Beta, Gamma, Delta, and Omicron) were significantly enriched in partially constrained regions. Discussion: Taken together, our results provide unique information on the evolutionary and functional dynamics of SARS-CoV-2 based on synonymous mutations and offer potentially useful information for better control of the SARS-CoV-2 pandemic.

Indexed as

binding motifcodon usagedominant variantsSARS-CoV-2synonymous evolutionary rate

Identifiers

PMID36970680
PMCPMC10034387
OpenAlexW4323665241

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read14
identifiers read1
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.