Evidence map›Paper›PMID 41872554›Full record

ArticleApplied microbiology and biotechnology2026

Development of a double-monoclonal antibody sandwich ELISA for the detection of Citrus tristeza virus.

Pengxiang Shang, Yani Chen, Liang Yao, Yanan Jiang, Jinlian Zhang, Chunhua Yang, Changyu Li, Yihao Kang, Yijie Xue, Yizhen Ruan and 4 more

Abstract readEvaluation Study
In one paragraph

Article in Applied microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

14 authors.

Pengxiang ShangState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Yani ChenState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Liang YaoState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Yanan JiangState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Jinlian ZhangMicrobiology Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
Chunhua YangAgricultural College of Guangxi University, Nanning, 530004, China.
Changyu LiAgricultural College of Guangxi University, Nanning, 530004, China.
Yihao KangState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Yijie XueState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Yizhen RuanState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Moyu WangState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Ningshao XiaState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China.
Longfa XuState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China. longfaxu@xmu.edu.cn.
Tong ChengState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Life Sciences, School of Public Health, Xiamen University, Xiamen, 361102, China. tcheng@xmu.edu.cn.

Funding

cooperative projects with Xiamen University KJ2024804BFundamental Research Funds for the Central Universities 20720250004
6 · The paper itself

Abstract

Citrus tristeza virus (CTV) poses a severe and economically significant threat to global citrus production. While serological detection offers a valuable tool, existing immunoassays often lack sufficient sensitivity and specificity, and the precise epitope information recognized by antibodies remains inadequately characterized. In this study, we developed an efficient double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) for CTV detection. Purified CTV particles were used to generate monoclonal antibodies (mAbs) in mice. Among six obtained hybridoma lines, mAbs 10A2 and 10D9 exhibited high titers (up to 3.28 × 10⁷ by indirect ELISA; HRP-conjugated 10D9 reached 1.64 × 10⁷ by direct ELISA). Epitope mapping revealed that both mAbs specifically target linear epitopes (aa 1-15 and aa 166-180) within the major coat protein (CP), corresponding to two surface-exposed loop regions, with high conservation confirmed by phylogenetic analysis. For the DAS-ELISA, mAb 10A2 was selected as the capture antibody, and HRP-10D9 was used as the detection antibody. This antibody combination demonstrated high efficiency and specificity for CP, achieving a detection limit of 15.63 ng/mL for recombinant CP. Field surveys in major citrus-growing regions of China (Guangxi, Jiangxi, Zhejiang) using this DAS-ELISA showed positive detection rates of 40.95%, 52.71%, and 27.5%, respectively, exhibiting strong correlativity with reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) (Kappa = 0.938). The developed mAbs and the sensitive, specific DAS-ELISA provide a powerful tool for CTV surveillance and hold significant promise for both agricultural production and research. KEY POINTS: Two monoclonal antibodies were generated using high-quality CTV particles, which target complementary epitopes on the major coat protein. A double-monoclonal antibody sandwich ELISA was developed based on two antibodies, which target complementary epitopes in the outer loop regions of the viral particle. A large-scale epidemiological survey conducted in citrus groves confirmed the method's effectiveness in identifying CTV-infected citrus.

Indexed as

Antibodies, MonoclonalAntibodies, ViralCitrusClosterovirusPlant DiseasesAnimalsEnzyme-Linked Immunosorbent AssayEpitope MappingMiceMice, Inbred BALB CSensitivity and SpecificityAntibodies, MonoclonalAntibodies, ViralCitrus tristeza virusDouble-monoclonal antibody sandwich·ELISAMonoclonal antibodyRT-qPCR

Identifiers

PMID41872554
PMCPMC13197252

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LicenceCC BY-NC-ND
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Registered trials

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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.