In one paragraphArticle in Molecular biology and evolution, 2025. 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Ting ZhangState Key Laboratory of Genetic Evolution & Animal Models, Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.ORCID 0000-0001-9650-6089 Ren-Rong TianState Key Laboratory of Genetic Evolution & Animal Models, Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.ORCID 0000-0003-0364-7216 Fengyi LiState Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.ORCID 0009-0009-1976-8099 Xiaolu TangState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-7737-5092 Wenbin HeState Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.ORCID 0009-0004-8680-0996 Zhen-Ping HaoState Key Laboratory of Genetic Evolution & Animal Models, Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.ORCID 0009-0005-7394-3848 Lin ZhuoState Key Laboratory of Genetic Evolution & Animal Models, Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.ORCID 0009-0004-7073-5763 Jian LuState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-4409-1667 Xuemei LuState Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.ORCID 0000-0001-6044-6002 Yong-Tang ZhengState Key Laboratory of Genetic Evolution & Animal Models, Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.ORCID 0000-0001-5469-0324 Funding
Key Scientific and Technological Program of China 2021YFC2300900Key Scientific and Technological Program of China 2021YFC2301300Key Scientific and Technological Program of China 2022YFC2303700Key Scientific and Technological Program of Yunnan 202303AC100026National Natural Science Foundation of China 32200137National Natural Science Foundation of China 82151214Yunnan Fundamental Research Projects 202301AT070311
6 · The paper itselfAbstract
The ongoing pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has highlighted the virus's remarkable ability to evolve and adapt in diverse hosts. Despite the observation of recurrent mutations and convergent evolution in the viral genome, the mechanisms driving these processes remain poorly understood, particularly in the context of diverse host environments and limited genomic surveillance. We established a rigorously controlled in vitro cellular system within a Biosafety Level 3 Laboratory, ensuring strict adherence to biosafety protocols while passaging the virus in seven cell lines derived from four tissues across five mammalian species. High-throughput sequencing revealed consistent positive selection on the Spike (S) protein, highlighting its adaptability in the absence of adaptive immune responses or therapeutic pressures. Type I interferons (IFN-I) and APOBEC-mediated editing may emerge as key modulators of viral evolution. Notably, IFN-I activation is inversely correlated with the accumulation of S protein mutations (E484D, P812R/L, L1186R). Our findings uncover host-specific selective forces in shaping SARS-CoV-2 evolution and highlight the need for systematic approaches to mitigate viral transmission and emerging variants.
Indexed as
COVID-19Evolution, MolecularSARS-CoV-2Spike Glycoprotein, CoronavirusAnimalsCell LineGenome, ViralHumansInterferon Type IMutationSelection, GeneticInterferon Type ISpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2convergent evolutionhost-specific selective pressuresmultihost experimental systemSARS-CoV-2spike protein
Identifiers
PMID41147188
PMCPMC12619125
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