Evidence map›Paper›PMID 40695985›Full record

ArticleCommunications biology2025

Agxt2l-mediated glycerophospholipid metabolism in trophocytes explains Apis mellifera queen's higher oviposition over A. cerana.

Luxia Pan, Zilong Wang, Shiqing Zhong, Tianyu Xu, Weixuan Chen, Fuping Cheng, Zhijiang Zeng

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Luxia Pan *Honeybee Research Institute, Jiangxi Agricultural University, Nanchang, China.
Zilong Wang *Honeybee Research Institute, Jiangxi Agricultural University, Nanchang, China.ORCID http://orcid.org/0000-0002-9651-6129
Shiqing Zhong *Honeybee Research Institute, Jiangxi Agricultural University, Nanchang, China.
Tianyu XuHoneybee Research Institute, Jiangxi Agricultural University, Nanchang, China.
Weixuan ChenHoneybee Research Institute, Jiangxi Agricultural University, Nanchang, China.
Fuping ChengHoneybee Research Institute, Jiangxi Agricultural University, Nanchang, China.
Zhijiang ZengHoneybee Research Institute, Jiangxi Agricultural University, Nanchang, China. bees1965@sina.com.ORCID http://orcid.org/0000-0001-5778-4115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Apis mellifera and Apis cerana are two important honey bee species widely kept and studied. But their queens differ greatly in egg-laying capacity. To determine the mechanisms of this difference, we compare gene expression, chromatin accessibility and spatial localization of differential genes in the ovaries of the two species in virgin queens and laying queens using ATAC-seq, RNA-Seq, homologous gene alignment and spatial transcriptome. The results reconfirm that the egg-laying capability of A. mellifera queens is significantly higher than that of A. cerana queens. The chromatin accessibility and nutrient cells ratio of A. mellifera queens are higher than those of A. cerana queens. Further investigations reveal that agxt2l (LOC408817) is significantly over-expressed in the ovaries of A. mellifera queens compared to A. cerana queens and is crucial for ovary development. Moreover, agxt2l can increase the phospholipid content in ovarian nutrient cells through the glycerophospholipid metabolism pathway to promote embryo formation and is regulated by brc-z1 (LOC552255). These findings suggest that the brc-z1-agxt2l signal pathway causes increased egg-laying in the queens of A. mellifera compared to the queens of A. cerana by accelerating lipid synthesis due to heightened glycerophospholipid metabolism.

Indexed as

GlycerophospholipidsInsect ProteinsOvipositionAnimalsBeesFemaleOvaryGlycerophospholipidsInsect Proteins

Identifiers

PMID40695985
PMCPMC12284031

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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.