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Antigenic Variation

Immunology · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

Change in the surface antigen of a microorganism.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (885 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Change in the surface antigen of a microorganism. There are two different types. One is a phenomenon, especially associated with influenza viruses, where they undergo spontaneous variation both as slow antigenic drift and sudden emergence of new strains (antigenic shift). The second type is when certain parasites, especially trypanosomes, plasmodium, and borrelia, survive the immune response of the host by changing the surface coat (antigen switching). (From Herbert et al., The Dictionary of Immunology, 4th ed)

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Antigen Variation; Variation, Antigen; Antigenic Variability; Variability, Antigenic; Variation, Antigenic; Antigen Switching; Switching, Antigen; Antigenic Switching.

Where it fits in the MeSH classification

Broader topics
Genetic Variation; Immunogenetic Phenomena
Narrower topics
Antigenic Drift and Shift

Related concepts

  • Antigen
  • Influenza Viruses
  • Parasites
  • Plasmodium
  • Borrelia

Research landscape

PubMed indexes 3,559 records tagged with the MeSH heading “Antigenic Variation” (counts retrieved 2026-10-29). 414 of them (11.6%) were published from 2020 onward, and the busiest period so far is through 1999 with 1,356 records.

Reviews account for 693 records (19.5%) and meta-analyses for 3. Randomized controlled trials number 3 (0.1%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 1,356 records; 2000-2009: 942 records; 2010-2019: 847 records; 2020 onward: 414 records1,356through 19999422000-20098472010-20194142020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19991,356
2000-2009942
2010-2019847
2020 onward414
Share of records by publication typeReviews: 19.5 percent; Meta-analyses: 0.1 percent; Randomized controlled trials: 0.1 percentReviews19.5% (693)Meta-analyses0.1% (3)Randomized controlled trials0.1% (3)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 3,559 PubMed records
TypeRecordsShare
Reviews69319.5%
Meta-analyses30.1%
Randomized controlled trials30.1%

Method: PubMed query "Antigenic Variation"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in immunology

Immune responses are studied in model organisms, in cells from donors and in patients, and the same pathway can behave differently across these settings. Mouse immune systems differ from human ones in important ways, and blood measurements may not reflect what happens in tissues. Clinical conclusions about immune-mediated disease or immunotherapy come mainly from controlled trials and long-term cohorts. Check the species and tissue studied, whether markers were linked to outcomes patients notice, and the follow-up time.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection
Cao Y, Yisimayi A, Jian F, Song W, Xiao T, Wang L, et al.
2022Research article
Design not recorded in structured metadata
1,226cc by
PMID 35714668 · DOI · PMC9385493
Imprinted SARS-CoV-2 humoral immunity induces convergent Omicron RBD evolution
Cao Y, Jian F, Wang J, Yu Y, Song W, Yisimayi A, et al.
2023Research article
Design not recorded in structured metadata
842cc by
PMID 36535326 · DOI · PMC9931576
Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5
Wang Q, Guo Y, Iketani S, Nair MS, Li Z, Mohri H, et al.
2022Research article
Design not recorded in structured metadata
745cc by
PMID 35790190 · DOI · PMC9385487
DNA damage drives antigen diversification in Trypanosoma brucei
Smith JE, Wang KJ, Kennedy EM, Munday JC, Singer L, Hakim JMC, et al.
2026Research article
Design not recorded in structured metadata
3cc by
PMID 41951731 · DOI · PMC13233330

BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection [1]

Research article Cao Y, Yisimayi A, Jian F, Song W, Xiao T, Wang L, et al. · · 2022 · cited 1,226 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron sublineages BA.
Closing excerpt
1-derived vaccine boosters may not achieve broad-spectrum protection against new Omicron variants.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (303 words)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron sublineages BA.2.12.1, BA.4 and BA.5 exhibit higher transmissibility than the BA.2 lineage1. The receptor binding and immune-evasion capability of these recently emerged variants require immediate investigation. Here, coupled with structural comparisons of the spike proteins, we show that BA.2.12.1, BA.4 and BA.5 (BA.4 and BA.5 are hereafter referred collectively to as BA.4/BA.5) exhibit similar binding affinities to BA.2 for the angiotensin-converting enzyme 2 (ACE2) receptor. Of note, BA.2.12.1 and BA.4/BA.5 display increased evasion of neutralizing antibodies compared with BA.2 against plasma from triple-vaccinated individuals or from individuals who developed a BA.1 infection after vaccination. To delineate the underlying antibody-evasion mechanism, we determined the escape mutation profiles2, epitope distribution3 and Omicron-neutralization efficiency of 1,640 neutralizing antibodies directed against the receptor-binding domain of the viral spike protein, including 614 antibodies isolated from people who had recovered from BA.1 infection. BA.1 infection after vaccination predominantly recalls humoral immune memory directed against ancestral (hereafter referred to as wild-type (WT)) SARS-CoV-2 spike protein. The resulting elicited antibodies could neutralize both WT SARS-CoV-2 and BA.1 and are enriched on epitopes on spike that do not bind ACE2. However, most of these cross-reactive neutralizing antibodies are evaded by spike mutants L452Q, L452R and F486V. BA.1 infection can also induce new clones of BA.1-specific antibodies that potently neutralize BA.1. Nevertheless, these neutralizing antibodies are largely evaded by BA.2 and BA.4/BA.5 owing to D405N and F486V mutations, and react weakly to pre-Omicron variants, exhibiting narrow neutralization breadths. The therapeutic neutralizing antibodies bebtelovimab4 and cilgavimab5 can effectively neutralize BA.2.12.1 and BA.4/BA.5, whereas the S371F, D405N and R408S mutations undermine most broadly sarbecovirus-neutralizing antibodies. Together, our results indicate that Omicron may evolve mutations to evade the humoral immunity elicited by BA.1 infection, suggesting that BA.1-derived vaccine boosters may not achieve broad-spectrum protection against new Omicron variants.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35714668 · DOI · PMC9385493

Imprinted SARS-CoV-2 humoral immunity induces convergent Omicron RBD evolution [2]

Research article Cao Y, Jian F, Wang J, Yu Y, Song W, Yisimayi A, et al. · · 2023 · cited 842 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Continuous evolution of Omicron has led to a rapid and simultaneous emergence of numerous variants that display growth advantages over BA.
Closing excerpt
5 vaccine boosters may not efficiently prevent the infection of Omicron convergent variants.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (225 words)

Continuous evolution of Omicron has led to a rapid and simultaneous emergence of numerous variants that display growth advantages over BA.5 (ref. 1). Despite their divergent evolutionary courses, mutations on their receptor-binding domain (RBD) converge on several hotspots. The driving force and destination of such sudden convergent evolution and its effect on humoral immunity remain unclear. Here we demonstrate that these convergent mutations can cause evasion of neutralizing antibody drugs and convalescent plasma, including those from BA.5 breakthrough infection, while maintaining sufficient ACE2-binding capability. BQ.1.1.10 (BQ.1.1 + Y144del), BA.4.6.3, XBB and CH.1.1 are the most antibody-evasive strains tested. To delineate the origin of the convergent evolution, we determined the escape mutation profiles and neutralization activity of monoclonal antibodies isolated from individuals who had BA.2 and BA.5 breakthrough infections2,3. Owing to humoral immune imprinting, BA.2 and especially BA.5 breakthrough infection reduced the diversity of the neutralizing antibody binding sites and increased proportions of non-neutralizing antibody clones, which, in turn, focused humoral immune pressure and promoted convergent evolution in the RBD. Moreover, we show that the convergent RBD mutations could be accurately inferred by deep mutational scanning profiles4,5, and the evolution trends of BA.2.75 and BA.5 subvariants could be well foreseen through constructed convergent pseudovirus mutants. These results suggest that current herd immunity and BA.5 vaccine boosters may not efficiently prevent the infection of Omicron convergent variants.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36535326 · DOI · PMC9931576

Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5 [3]

Research article Wang Q, Guo Y, Iketani S, Nair MS, Li Z, Mohri H, et al. · · 2022 · cited 745 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
SARS-CoV-2 Omicron subvariants BA.
Closing excerpt
The Omicron lineage of SARS-CoV-2 continues to evolve, successively yielding subvariants that are not only more transmissible but also more evasive to antibodies.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (204 words)

SARS-CoV-2 Omicron subvariants BA.2.12.1 and BA.4/5 have surged notably to become dominant in the United States and South Africa, respectively1,2. These new subvariants carrying further mutations in their spike proteins raise concerns that they may further evade neutralizing antibodies, thereby further compromising the efficacy of COVID-19 vaccines and therapeutic monoclonals. We now report findings from a systematic antigenic analysis of these surging Omicron subvariants. BA.2.12.1 is only modestly (1.8-fold) more resistant to sera from vaccinated and boosted individuals than BA.2. However, BA.4/5 is substantially (4.2-fold) more resistant and thus more likely to lead to vaccine breakthrough infections. Mutation at spike residue L452 found in both BA.2.12.1 and BA.4/5 facilitates escape from some antibodies directed to the so-called class 2 and 3 regions of the receptor-binding domain3. The F486V mutation found in BA.4/5 facilitates escape from certain class 1 and 2 antibodies but compromises the spike affinity for the viral receptor. The R493Q reversion mutation, however, restores receptor affinity and consequently the fitness of BA.4/5. Among therapeutic antibodies authorized for clinical use, only bebtelovimab retains full potency against both BA.2.12.1 and BA.4/5. The Omicron lineage of SARS-CoV-2 continues to evolve, successively yielding subvariants that are not only more transmissible but also more evasive to antibodies.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35790190 · DOI · PMC9385487

DNA damage drives antigen diversification in Trypanosoma brucei [4]

Research article Smith JE, Wang KJ, Kennedy EM, Munday JC, Singer L, Hakim JMC, et al. · · 2026 · cited 3 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Antigenic variation, using large genomic repertoires of antigen-encoding genes, allows pathogens to evade host antibody.
Closing excerpt
Together, these results provide insight into the mechanisms of VSG diversification and an experimental framework for studying the evolution of antigen repertoires in pathogenic microorganisms.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (153 words)

Antigenic variation, using large genomic repertoires of antigen-encoding genes, allows pathogens to evade host antibody. Many pathogens, including the African trypanosome Trypanosoma brucei, extend their antigenic repertoire through genomic diversification. Although evidence suggests that T. brucei depends on the generation of new variant surface glycoprotein (VSG) genes to maintain a chronic infection1-4, a lack of experimentally tractable tools for studying this process has obscured its underlying mechanisms. Here we present a highly sensitive targeted sequencing approach for measuring VSG diversification. Using this method, we demonstrate that a Cas9-induced DNA double-strand break within the VSG coding sequence can induce RAD51- and BRCA2-dependent VSG recombination with patterns identical to those observed during infection. These newly generated VSGs are antigenically distinct from parental clones and thus capable of facilitating immune evasion. Together, these results provide insight into the mechanisms of VSG diversification and an experimental framework for studying the evolution of antigen repertoires in pathogenic microorganisms.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41951731 · DOI · PMC13233330

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Phase and antigenic variation in bacteria [5]
    van der Woude MW, Bäumler AJ · Clin Microbiol Rev · 2004 · cited 559 times (Europe PMC)
  • Research article Influenza vaccine: the challenge of antigenic drift [6]
    Carrat F, Flahault A · Vaccine · 2007 · cited 522 times (Europe PMC)
  • Research article Evolutionary and immunological implications of contemporary HIV-1 variation [7]
    Korber B, Gaschen B, Yusim K, Thakallapally R, Kesmir C, Detours V · Br Med Bull · 2001 · cited 381 times (Europe PMC)
  • Research article Scrub typhus: the geographic distribution of phenotypic and genotypic variants of Orientia tsutsugamushi [8]
    Kelly DJ, Fuerst PA, Ching WM, Richards AL · Clin Infect Dis · 2009 · cited 368 times (Europe PMC)
  • Research article Broadly neutralizing antibodies present new prospects to counter highly antigenically diverse viruses [9]
    Burton DR, Poignard P, Stanfield RL, Wilson IA · Science · 2012 · cited 362 times (Europe PMC)
  • Research article Heterogeneity of porcine reproductive and respiratory syndrome virus: implications for current vaccine efficacy and future vaccine development [10]
    Meng XJ · Vet Microbiol · 2000 · cited 310 times (Europe PMC)

References

  1. Cao Y, Yisimayi A, Jian F, Song W, Xiao T, Wang L, et al.. BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection. . 2022. PMID 35714668 · DOI · PMC9385493
  2. Cao Y, Jian F, Wang J, Yu Y, Song W, Yisimayi A, et al.. Imprinted SARS-CoV-2 humoral immunity induces convergent Omicron RBD evolution. . 2023. PMID 36535326 · DOI · PMC9931576
  3. Wang Q, Guo Y, Iketani S, Nair MS, Li Z, Mohri H, et al.. Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5. . 2022. PMID 35790190 · DOI · PMC9385487
  4. Smith JE, Wang KJ, Kennedy EM, Munday JC, Singer L, Hakim JMC, et al.. DNA damage drives antigen diversification in Trypanosoma brucei. . 2026. PMID 41951731 · DOI · PMC13233330
  5. van der Woude MW, Bäumler AJ. Phase and antigenic variation in bacteria. Clin Microbiol Rev. 2004. PMID 15258095 · DOI · PMC452554
  6. Carrat F, Flahault A. Influenza vaccine: the challenge of antigenic drift. Vaccine. 2007. PMID 17719149 · DOI
  7. Korber B, Gaschen B, Yusim K, Thakallapally R, Kesmir C, Detours V. Evolutionary and immunological implications of contemporary HIV-1 variation. Br Med Bull. 2001. PMID 11714622 · DOI
  8. Kelly DJ, Fuerst PA, Ching WM, Richards AL. Scrub typhus: the geographic distribution of phenotypic and genotypic variants of Orientia tsutsugamushi. Clin Infect Dis. 2009. PMID 19220144 · DOI
  9. Burton DR, Poignard P, Stanfield RL, Wilson IA. Broadly neutralizing antibodies present new prospects to counter highly antigenically diverse viruses. Science. 2012. PMID 22798606 · DOI · PMC3600854
  10. Meng XJ. Heterogeneity of porcine reproductive and respiratory syndrome virus: implications for current vaccine efficacy and future vaccine development. Vet Microbiol. 2000. PMID 10831854 · DOI · PMC7117501

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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Related research topics

  • Immunoglobulin Class SwitchingImmunology
  • Antibody SpecificityImmunology
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  • AnaphylaxisImmunology
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All 90 articles in Immunology →

At a glance

3,559
PubMed records on this heading
12%
published since 2020
693
review articles
3
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Immunoglobulin Class SwitchingImmunology
  • Antibody SpecificityImmunology
  • Antigen PresentationImmunology
  • AnaphylaxisImmunology
  • Cross-PrimingImmunology

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