Evidence map›Paper›PMID 41802807›Full record

ArticleJournal of microbiology (Seoul, Korea)2026

Exploration of genes and identification of evolutionary evidence in adeno-associated viruses.

Chanhee Lee, Jihong Min, Somin Lim, Anyeseu Park, Seokjin Kwak, Soyeon Hwang, Sooyeon Park, Yong-Suk Jang, Se-Yeoun Cha, Sung-Gook Cho and 1 more

Abstract read
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2026. 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

11 authors.

Chanhee LeeLaboratory of Viromics and Evolution, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Jihong MinLaboratory of Viromics and Evolution, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Somin LimLaboratory of Viromics and Evolution, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Anyeseu ParkLaboratory of Viromics and Evolution, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Seokjin KwakLaboratory of Viromics and Evolution, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Soyeon HwangLaboratory of Viromics and Evolution, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Sooyeon ParkLaboratory of Viromics and Evolution, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.
Yong-Suk JangDepartment of Molecular Biology, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Se-Yeoun ChaCollege of Veterinary Medicine and Center for Avian Disease, Jeonbuk National University, Iksan 54596, Republic of Korea.
Sung-Gook ChoDepartment of Biotechnology, Korea National University of Transportation, Jeungpyeong 27909, Republic of Korea.
Jeong Yoon LeeLaboratory of Viromics and Evolution, Korea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Republic of Korea.

Funding

MICT RS-2025-25424144National Research Foundation of Korea
6 · The paper itself

Abstract

Adeno-associated virus (AAV) commonly infects humans and non-human primates, generally inducing mild or even asymptomatic outcomes. AAVs have been shaped and diversified by evolutionary pressures, resulting in the identification of 13 serotypes thus far. Each serotype of AAV exhibits distinct tissue tropisms, targeting various organs, including the lung, central nervous system (CNS), liver, and skeletal muscle, thereby establishing AAVs as widely utilized vectors for therapeutic gene delivery. Bioinformatics analysis of specific viruses enables the inference of evolutionary patterns and offers valuable insights for predicting the emergence of novel viruses. While DNA sequence-based analysis has effectively facilitated the observation of mutation patterns accumulating within specific genes, it often provides limited insight into the actual impact of these mutations on proteins, the fundamental functional units. Utilizing proteotyping, an amino acid sequence-based comparative analysis, we identified hypervariable regions (HVR) within the AAV Cap gene and revealed concentrated evolutionary pressures in serotypes 4, 5, 11, and 12. Furthermore, we found that AAV-5 proteins exhibited considerable amino acid sequence divergence compared to those of other serotypes. Despite divergence, all AAV-5 proteins maintained a noticeable structural similarity to their counterparts in other serotypes. Our findings provide sequence-based insights into the evolutionary processes of AAV, facilitating the efficient identification of novel viruses.

Indexed as

DependovirusEvolution, MolecularAmino Acid SequenceAnimalsCapsid ProteinsComputational BiologyHumansPhylogenySerogroupCapsid Proteinsadeno-associated viruscap geneproteotypingrep genevirus evolution

Identifiers

PMID41802807
PMCPMC13577106

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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.