Evidence map›Paper›PMID 42337578›Full record

ArticleJournal of nanobiotechnology2026

Metal-driven nanoassembly of hexahistidine-tagged melittin enables superior phytopathogen biofilm degradation with attenuated toxicity.

Xingcheng Zhou, Jie Hong, Li Yang, Satyabrata Nanda, Youbo Yu, You Wang, Krongthong Kamonsuangkasem, Ming Chang, Janaki Mohotti, Gefei Hao and 2 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 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
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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

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.

Xingcheng ZhouState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang, 550025, Guizhou, China.
Jie HongMedical College, Guizhou University, Guiyang, 550025, China.
Li YangCollege of Computer Science and Technology, Guizhou University, Guiyang, 550025, China.
Satyabrata NandaSchool of Biotechnology, Centurion University of Technology and Management, Bhubaneswar, 752050, India.
Youbo YuState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang, 550025, Guizhou, China.
You WangState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang, 550025, Guizhou, China.
Krongthong KamonsuangkasemSynchrotron Light Research Institute, 111 University Avenue, Muang District, Nakhon Ratchasima, 30000, Thailand.
Ming ChangCollege of Life Sciences, Key Laboratory of Soybean Disease and Pest Control (Ministry of Agriculture and Rural Affairs), Nanjing Agricultural University, Nanjing, 210095, China.
Janaki MohottiDepartment of Crop Science, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Gefei HaoState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang, 550025, Guizhou, China.
Peiyi WangState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang, 550025, Guizhou, China. pywang@gzu.edu.cn.
Libo ZhangState Key Laboratory of Green Pesticide, Center for Research and Development of Fine Chemicals of Guizhou University, Guiyang, 550025, Guizhou, China. lbzhang@gzu.edu.cn.ORCID https://orcid.org/0000-0003-1981-8614

Funding

National Key Research and Development Program of China 2024YFE0214300
6 · The paper itself

Abstract

Bacterial biofilms formed by phytopathogens confer formidable resistance to chemical pesticides, underscoring an urgent need for innovative antimicrobial solutions. Antimicrobial peptides (AMPs), exemplified by the potent bee venom derivative melittin, offer a promising alternative owing to their broad-spectrum activity and intrinsic biofilm-disrupting capacity. However, the agricultural application of melittin is severely hindered by rapid environmental degradation, susceptibility to enzymatic degradation, and non-selective cytotoxicity. Here, we report a metal-coordination-driven nanoassembly strategy to enhance the stability and efficacy of melittin. Engineering an N-terminal hexahistidine tag enabled a one-step assembly of melittin into uniform nanoparticles (NanoMel) via Zn²⁺ coordination. This nanoformulation improved the antibacterial potency, lowering the half-maximal effective concentration (EC₅₀) values against Xanthomonas oryzae pv. oryzae (Xoo), Xanthomonas oryzae pv. oryzicola (Xoc) to 3.795 µg/mL and 3.202 µg/mL, representing a 1.59- and 1.38-fold enhancement over its linear counterpart. Furthermore, NanoMel demonstrated superior biofilm eradication, degrading 86.9% of mature Xoo biofilms at 24 µg/mL, significantly outperforming the free peptide. In planta assays revealed that NanoMel provided 68.2% curative and 65.9% protective efficacy against rice bacterial leaf blight at 200 µg/mL, surpassing the commercial bactericide thiodiazole-copper 20% suspension concentrate (TC-20% SC). Furthermore, the nanoassemblies effectively attenuated the inherent toxicity of melittin, as evidenced by significantly improved safety profiles in the zebrafish model. Collectively, these findings establish the metal-coordination-driven nanoassembly as a platform for constructing effective and eco-friendly AMP-based bionanobactericides, demonstrating a potent and practical strategy for sustainable plant protection.

Indexed as

Anti-Bacterial AgentsBiofilmsHistidineMelittenNanoparticlesXanthomonasAnimalsMicrobial Sensitivity TestsOryzaZincAnti-Bacterial AgentsHistidineMelittenZincAntimicrobial peptideBiofilmMelittinMetalNano-assemblyNanobactericide

Identifiers

PMID42337578
PMCPMC13548590

What OpenQuestion holds

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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.