Evidence map›Paper›PMID 38470148›Full record

ArticleApplied and environmental microbiology2024

Queen bee gut microbiota extends honeybee lifespan by inhibiting insulin signaling.

Hongfang Wang, Wenfeng Chen, Li Lei, Wei Zhang, Zhenguo Liu, Ying Wang, Baohua Xu

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Iron-deplete diet enhancesbioRxiv : the preprint server for biology · 2025
    Article
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

7 authors at 1 institution in 1 country.

Hongfang WangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong, China.ORCID 0000-0001-8143-211X
Wenfeng ChenCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong, China.
Li LeiCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong, China.
Wei ZhangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong, China.
Zhenguo LiuCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong, China.
Ying WangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong, China.
Baohua XuCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong, China.
Shandong Agricultural University · CN

Funding

MOST | National Natural Science Foundation of China (NSFC) 32102607the earmarked fund for the China Agricultral Research System CARS-44the Natural Science Foundation of Shandong Province ZR2020QC191
6 · The paper itself

Abstract

Queen and worker bees are natural models for aging research, as their lifespans vary considerably independent of genetic variation. Investigating the reasons why queens live longer than workers is of great significance for research on the universal processes of aging in animals. The gut microbiome has received attention as a vital regulator of host health, while its precise role in honeybee aging needs further investigation. The effects and mechanisms behind the relationship between gut microbiota and worker lifespan were measured by transplanting queen bee gut bacteria (QG) and worker bee gut bacteria (WG) into microbiota-free (MF) workers. The transplantation of QG to MF bees significantly extended the workers' lifespans compared with MF and WG bees. Untargeted metabolomics identified 49 lifespan-related differential metabolites, and Kyoto Encyclopedia of Genes and Genomes analysis of these revealed three lifespan-related metabolic pathways: insulin/insulin-like growth factor signaling, immune, and ketone body metabolism pathways. Further verification showed that QG inhibited the expression of insulin-like peptides (ILPs), and the expression of ILPs was lower in natural queens than in natural workers. QG transplantation also stimulated the expression of antioxidant genes and lowered oxidative damage products in natural queen bees. However, gut microbiota transplantation failed to mimic the immune properties and ketone body metabolism profiles of natural queens and workers. Concisely, QG could increase the antioxidant capacity to extend lifespan by inhibiting insulin signaling. These findings may help determine the mechanisms behind queen longevity and provide further insights into the role of gut symbionts. IMPORTANCE: Queen and worker bees share the same genetic background but have vastly different lifespans. The gut microbiome regulates host health, suggesting that differences in lifespan between queen and worker bees could be related to gut bacteria. Herein, we used an innovative method to transplant gut microbiota from adult queen or worker bees to microbiota-free bees. The transplantation of queen gut microbiota to microbiota-free bees extended their lifespan. Insulin/insulin-like growth factor signaling, a highly conserved metabolic pathway related to lifespan, displayed identical expression profiles in natural queen bees and microbiota-free bees transplanted with queen microbiota. This finding significantly expands our understanding of the relationships between intestinal bacteria, host health, and the biology of aging.

Indexed as

Gastrointestinal MicrobiomeLongevityAnimalsAntioxidantsBeesInsulinKetonesAntioxidantsInsulinKetonesantioxidantsinsulin/insulin-like growth factor signalinglifespanmicrobiotaqueen beesworker bees

Identifiers

PMID38470148
PMCPMC11022582
OpenAlexW4392893007

What OpenQuestion holds

Textmetadata
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.