Evidence map›Paper›PMID 33353955›Full record

ArticleScientific reports2020

Phylogenetic supertree reveals detailed evolution of SARS-CoV-2.

Tingting Li, Dongxia Liu, Yadi Yang, Jiali Guo, Yujie Feng, Xinmo Zhang, Shilong Cheng, Jie Feng

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  9. Review
  10. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    Review
  11. Article
  12. Review
  13. Review
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  20. A contemporary review on the important role ofInformatics in medicine unlocked · 2022
    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

8 authors.

Tingting LiInstitute of Immunology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China.
Dongxia LiuInstitute of Pathology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China.
Yadi YangInstitute of Immunology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China.
Jiali GuoThe Second Clinical Medical School, Lanzhou University, Lanzhou, 730000, China.
Yujie FengThe Second Clinical Medical School, Lanzhou University, Lanzhou, 730000, China.
Xinmo ZhangThe Second Clinical Medical School, Lanzhou University, Lanzhou, 730000, China.
Shilong ChengThe First Clinical Medical School, Lanzhou University, Lanzhou, 730000, China.
Jie FengInstitute of Pathology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China. jfeng@lzu.edu.cn.

Funding

National Natural Science Foundation of China 81902099
6 · The paper itself

Abstract

Corona Virus Disease 2019 (COVID-19) caused by the emerged coronavirus SARS-CoV-2 is spreading globally. The origin of SARS-Cov-2 and its evolutionary relationship is still ambiguous. Several reports attempted to figure out this critical issue by genome-based phylogenetic analysis, yet limited progress was obtained, principally owing to the disability of these methods to reasonably integrate phylogenetic information from all genes of SARS-CoV-2. Supertree method based on multiple trees can produce the overall reasonable phylogenetic tree. However, the supertree method has been barely used for phylogenetic analysis of viruses. Here we applied the matrix representation with parsimony (MRP) pseudo-sequence supertree analysis to study the origin and evolution of SARS-CoV-2. Compared with other phylogenetic analysis methods, the supertree method showed more resolution power for phylogenetic analysis of coronaviruses. In particular, the MRP pseudo-sequence supertree analysis firmly disputes bat coronavirus RaTG13 be the last common ancestor of SARS-CoV-2, which was implied by other phylogenetic tree analysis based on viral genome sequences. Furthermore, the discovery of evolution and mutation in SARS-CoV-2 was achieved by MRP pseudo-sequence supertree analysis. Taken together, the MRP pseudo-sequence supertree provided more information on the SARS-CoV-2 evolution inference relative to the normal phylogenetic tree based on full-length genomic sequences.

Indexed as

Mutation RatePhylogenyAmino Acid SequenceAnimalsChiropteraCOVID-19Genome, ViralMiddle East Respiratory Syndrome CoronavirusSARS-CoV-2Severe Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirus

Identifiers

PMID33353955
PMCPMC7755913

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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.