Evidence map›Paper›PMID 41332825›Full record

ArticlemedRxiv : the preprint server for health sciences2025

A highly divergent cryptic SARS-CoV-2 lineage exhibits strong receptor binding and immune evasion.

Ziqi Feng, Qi Wen Teo, Barikisu A Ibrahim, Wenkan Liu, Ding Zhang, Kevin J Mao, Evan K Shao, Devon A Gregory, Ian A Wilson, Marc C Johnson and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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 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.

No citing paper in PubMed yet.

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.

Ziqi FengDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0001-5046-9788
Qi Wen TeoDepartment of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0001-6749-9684
Barikisu A IbrahimDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.
Wenkan LiuDepartment of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA.ORCID 0009-0002-1702-3148
Ding ZhangDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0009-0001-1057-0256
Kevin J MaoDepartment of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Evan K ShaoDepartment of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Devon A GregoryDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.
Ian A WilsonDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0002-6469-2419
Marc C JohnsonDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.ORCID 0000-0002-6431-7133
Meng YuanDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0001-9754-4503
Nicholas C WuDepartment of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0002-9078-6697

Funding

A Synchrotron Radiation Structural Biology ResourcesP30GM133894 · NIGMS · STANFORD UNIVERSITY · PI Ritimukta Sarangi · 2020 to 2026
$43.3M
High-throughput identification of antibody features for sequence-based epitope predictionDP2AT011966 · NCCIH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WU, NICHOLAS C. · 2021 to 2024
$2.4M
Biophysical constraints of influenza neuraminidase evolutionR01AI165475 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WU, NICHOLAS C. · 2022 to 2025
$2.0M
Novel B cell epitope discovery against human coronavirusesR01AI190286 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI IAN A WILSON · 2025 to 2026
$1.8M
Gates Foundation INV-004923NCCIH NIH HHS DP2 AT011966NIAID NIH HHS R01 AI165475NIAID NIH HHS R01 AI190286NIGMS NIH HHS P30 GM133894
6 · The paper itself

Abstract

SARS-CoV-2 genomic surveillance in wastewater enables the identification of cryptic lineages, often with numerous mutations not observed in circulating variants. Here, we discovered a unique cryptic SARS-CoV-2 lineage (designated NJ) from New Jersey wastewater that carries many rare mutations and exhibits the highest binding affinity to the hACE2 receptor among all tested SARS-CoV-2 variant RBDs, including the latest Omicron lineages. Moreover, NJ shows extensive evasion against all five major classes of neutralizing antibodies to SARS-CoV-2. Deep mutational scanning further demonstrates the involvement of epistasis in the evolution of the NJ-RBD. Crystal structures of NJ-RBD in complex with hACE2 and with a broadly neutralizing antibody CC25.4 reveal key amino acid substitutions that affect receptor binding, antibody evasion, and explain its unique molecular characteristics. Overall, these findings not only elucidate the structural and functional features of a cryptic SARS-CoV-2 lineage, but also provide insights into potential future evolution of SARS-CoV-2.

Identifiers

PMID41332825
PMCPMC12668080

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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.