Evidence map›Paper›PMID 41293485›Full record

ArticleVirus evolution2025

Emergence of the BA.2.87.1 lineage of SARS-CoV-2 in South Africa, a highly diverged BA.2-related lineage.

Dikeledi Kekana, Buhle Ntozini, Ryan Hisner, Mukhlid Yousif, Phindile Ntuli, Nkosenhle Ndlovu, Kerrigan McCarthy, Anele Mnguni, Boitshoko Mahlangu, Ayanda Nzimande and 13 more

Abstract read
In one paragraph

Article in Virus evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

23 authors.

Dikeledi KekanaCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.ORCID https://orcid.org/0000-0003-2295-2099
Buhle NtoziniCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.ORCID https://orcid.org/0009-0002-9951-4433
Ryan HisnerDepartment of Integrative Biomedical Sciences, Division of Computational Biology, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa.
Mukhlid YousifCentre for Vaccines and Immunology, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.
Phindile NtuliCentre for Vaccines and Immunology, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.
Nkosenhle NdlovuCentre for Vaccines and Immunology, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.
Kerrigan McCarthyCentre for Vaccines and Immunology, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.
Anele MnguniCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.
Boitshoko MahlanguCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.
Ayanda NzimandeCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.
Nadine StockCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.
Houriiyah TegallySchool for Data Science and Computational Thinking, Stellenbosch University, Centre for Vaccines and Immunology, 44 Banghoek Road, Stellenbosch, 7599, South Africa.ORCID https://orcid.org/0000-0002-7102-8540
Mary-Ann DavisWestern Cape Government Health and Wellness and School of Public Health, University of Cape Town, Robert Sobukwe Road, Bellville, Cape Town, 7535, South Africa.
Monika MoirSchool for Data Science and Computational Thinking, Stellenbosch University, Centre for Vaccines and Immunology, 44 Banghoek Road, Stellenbosch, 7599, South Africa.
Eduan WilkinsonSchool for Data Science and Computational Thinking, Stellenbosch University, Centre for Vaccines and Immunology, 44 Banghoek Road, Stellenbosch, 7599, South Africa.
Cheryl BaxterSchool for Data Science and Computational Thinking, Stellenbosch University, Centre for Vaccines and Immunology, 44 Banghoek Road, Stellenbosch, 7599, South Africa.
Jinal BhimanSAMRC Antibody Immunity Research Unit, School of Pathology, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.ORCID https://orcid.org/0000-0001-6354-4003
Cheryl CohenCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.ORCID https://orcid.org/0000-0003-0376-2302
Sibongile WalazaCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.ORCID https://orcid.org/0000-0001-7588-2480
Anne von GottbergCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.ORCID https://orcid.org/0000-0002-0243-7455
Tulio de OliveiraSchool for Data Science and Computational Thinking, Stellenbosch University, Centre for Vaccines and Immunology, 44 Banghoek Road, Stellenbosch, 7599, South Africa.ORCID https://orcid.org/0000-0002-3027-5254
Nicole WolterCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, 2192, South Africa.ORCID https://orcid.org/0000-0002-9526-0133
Darren MartinDepartment of Integrative Biomedical Sciences, Division of Computational Biology, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa.ORCID https://orcid.org/0000-0002-8785-0870

Funding

Southern African-Pittsburgh Public Health Genomic Epidemiology Training Program (SAPPHGenE)D43TW011255 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Lee H Harrison, Anne von Gottberg · 2019 to 2026
$1.7M
Bill & Melinda Gates Foundation INV-018978FIC NIH HHS D43 TW011255NCIRD CDC HHS H23 IP000930NCIRD CDC HHS U01 IP001048Wellcome Trust
6 · The paper itself

Abstract

The emergence of various SARS-CoV-2 lineages with adaptive mutations is of significant concern worldwide, especially when these mutations enhance the virus's ability to either evade immune responses or transmit more efficiently. Between September and December 2023, a highly diverged BA.2-related lineage, designated BA.2.87.1, was detected through diagnostic testing, syndromic surveillance, and wastewater surveillance in the Limpopo, Mpumalanga, Western Cape, Eastern Cape, and Gauteng provinces of South Africa. This lineage harbours 20 amino acid substitutions in Spike protein relative to baseline BA.2, including at antigenic sites of the receptor-binding domain (including N417T, K444N, V445G, L452M, N460K, K478T, N481K, and R493Q) and, most strikingly, large deletions of the N-terminal domain (NTD) residues 15-26 and 136-146. Such large NTD deletions have never been observed in circulating lineages but do sometimes occur in highly mutated sequences originating in chronic infections. Phylodynamic analysis supports the possibility that the BA.2.87.1 lineage originated in a chronic infection in that the nearest known ancestor of this lineage last circulated at least 18 months prior to its first detection. Although BA.2.87.1 had immune evasion and/or transmission potential, its detection was not associated with a surge of infections and it was displaced by the globally dominant BA.2.86 lineage, JN.1, in the last few weeks of 2023. Our findings further strengthen the case for genomic surveillance through clinical and wastewater surveillance systems. SARS-CoV-2 continues to circulate and evolve within the global population. Multiple divergent Omicron lineages such as BA.1, BA.2, BA.3, BA.4, and BA.5 that have emerged from the southern African region have had a major impact on the epidemiology of the virus worldwide. This is likely driven by the large population of immunocompromised individuals due to the high burden of HIV/AIDS and TB in the region that facilitates long-term chronic infections. This article provides insights into the emergence of the BA.2.87.1 lineage, which briefly circulated in South Africa. The lineage displayed a unique mutational profile, including major substitutions in the receptor-binding domain and N-terminal domain deletions. The study also highlights the critical role of syndromic and wastewater surveillance in monitoring the circulation and evolution of SARS-CoV-2.

Indexed as

BA.2.87.1omicronSARS-CoV-2South Africavariants of concernvirus evolutionwithin-host evolution

Identifiers

PMID41293485
PMCPMC12642706

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.