Evidence map›Paper›PMID 37210527›Full record

ArticleNature communications2023

Engineered symbiotic bacteria interfering Nosema redox system inhibit microsporidia parasitism in honeybees.

Haoyu Lang, Hao Wang, Haoqing Wang, Zhaopeng Zhong, Xianbing Xie, Wenhao Zhang, Jun Guo, Liang Meng, Xiaosong Hu, Xue Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
14.8field-weighted citation impact, top 1% of its field
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Insects · 2026
    Review
  7. Review
  8. Article
  9. Serpin 4/5 ofMicroorganisms · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Host Specificity ofInsects · 2025
    Article
  18. Article
  19. Liposome-based RNAi delivery in honeybee for inhibiting parasiteSynthetic and systems biotechnology · 2024
    Article
  20. Review
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 at 3 institutions in 1 country.

Haoyu LangCollege of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China.ORCID 0000-0003-4983-4543
Hao WangCollege of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China.
Haoqing WangCollege of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China.
Zhaopeng ZhongCollege of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China.
Xianbing XieDepartment of Laboratory Animal Science, Nanchang University, 330006, Nanchang, China.
Wenhao ZhangFaculty of Agriculture and Food, Kunming University of Science and Technology, 650031, Kunming, China.
Jun GuoFaculty of Life Science and Technology, Kunming University of Science and Technology, 650031, Kunming, China.
Liang MengBGI-Qingdao, BGI-Shenzhen, 266555, Qingdao, China.
Xiaosong HuCollege of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China.
Xue ZhangCollege of Plant Protection, China Agricultural University, 100083, Beijing, China.ORCID 0000-0003-0940-037X
Hao ZhengCollege of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China. hao.zheng@cau.edu.cn.ORCID 0000-0003-3313-1675
China Agricultural University · CNKunming University of Science and Technology · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nosema ceranae is an intracellular parasite invading the midgut of honeybees, which causes serious nosemosis implicated in honeybee colony losses worldwide. The core gut microbiota is involved in protecting against parasitism, and the genetically engineering of the native gut symbionts provides a novel and efficient way to fight pathogens. Here, using laboratory-generated bees mono-associated with gut members, we find that Snodgrassella alvi inhibit microsporidia proliferation, potentially via the stimulation of host oxidant-mediated immune response. Accordingly, N. ceranae employs the thioredoxin and glutathione systems to defend against oxidative stress and maintain a balanced redox equilibrium, which is essential for the infection process. We knock down the gene expression using nanoparticle-mediated RNA interference, which targets the γ-glutamyl-cysteine synthetase and thioredoxin reductase genes of microsporidia. It significantly reduces the spore load, confirming the importance of the antioxidant mechanism for the intracellular invasion of the N. ceranae parasite. Finally, we genetically modify the symbiotic S. alvi to deliver dsRNA corresponding to the genes involved in the redox system of the microsporidia. The engineered S. alvi induces RNA interference and represses parasite gene expression, thereby inhibits the parasitism significantly. Specifically, N. ceranae is most suppressed by the recombinant strain corresponding to the glutathione synthetase or by a mixture of bacteria expressing variable dsRNA. Our findings extend our previous understanding of the protection of gut symbionts against N. ceranae and provide a symbiont-mediated RNAi system for inhibiting microsporidia infection in honeybees.

Indexed as

Gastrointestinal MicrobiomeNosemaAnimalsBacteriaBeesOxidation-ReductionRNA Interference

Identifiers

PMID37210527
PMCPMC10199888
OpenAlexW4377137544

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.