Evidence map›Paper›PMID 40199930›Full record

ArticleNature communications2025

Single-nucleus and spatial transcriptomics identify brain landscape of gene regulatory networks associated with behavioral maturation in honeybees.

Xiaohuan Mu, Zijing Zhang, Qun Liu, Jie Ma, Yating Qin, Haoyu Lang, Yingying Zhang, Nannan Zhang, Qunfei Guo, Pei Zhang and 24 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 citing papers in PubMed.

  1. Article
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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

34 authors.

Xiaohuan Mu *College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Zijing Zhang *College of Life Sciences, Hebei Normal University, Shijiazhuang, China.ORCID http://orcid.org/0000-0002-6446-5486
Qun LiuBGI Research-Qingdao, BGI, Qingdao, China.
Jie MaBGI Research-Qingdao, BGI, Qingdao, China.
Yating QinBGI Research-Qingdao, BGI, Qingdao, China.
Haoyu LangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0003-4983-4543
Yingying ZhangBGI Research-Qingdao, BGI, Qingdao, China.
Nannan ZhangBGI Research-Qingdao, BGI, Qingdao, China.
Qunfei GuoBGI Research-Shenzhen, Shenzhen, China.
Pei ZhangBGI Research-Shenzhen, Shenzhen, China.
Denghui LiBGI Research-Qingdao, BGI, Qingdao, China.
Ruihua ZhangBGI Research-Qingdao, BGI, Qingdao, China.
Qianyue JiBGI Research-Qingdao, BGI, Qingdao, China.
Aijun JiangBGI Research-Qingdao, BGI, Qingdao, China.
Yang WangBGI Research-Shenzhen, Shenzhen, China.
Shanshan PanBGI Research-Qingdao, BGI, Qingdao, China.
Xiawei LiuBGI Research-Qingdao, BGI, Qingdao, China.
Xuemei LiuBGI Research-Qingdao, BGI, Qingdao, China.
Jiahui SunBGI Research-Qingdao, BGI, Qingdao, China.
Yan LiuInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China.
Hao ChenInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China.
Li ZhengInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China.
Liang MengBGI Research-Qingdao, BGI, Qingdao, China.
Haorong LuBGI Research-Shenzhen, Shenzhen, China.ORCID http://orcid.org/0000-0003-0132-8166
He ZhangBGI Research-Shenzhen, Shenzhen, China.ORCID http://orcid.org/0000-0001-9294-1403
Yifan ZhaiInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan, China.
Qiye LiBGI Research-Shenzhen, Shenzhen, China.ORCID http://orcid.org/0000-0002-5993-0312
Junnian LiuBGI Research-Qingdao, BGI, Qingdao, China.
Huanming YangBGI Research-Shenzhen, Shenzhen, China.ORCID http://orcid.org/0000-0002-0858-3410
Jian WangBGI Research-Shenzhen, Shenzhen, China.
Xiaosong HuCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Xun XuBGI Research-Shenzhen, Shenzhen, China. xuxun@genomics.cn.ORCID http://orcid.org/0000-0002-5338-5173
Shanshan LiuBGI Research-Qingdao, BGI, Qingdao, China. liushanshan@genomics.cn.
Hao ZhengCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China. hao.zheng@cau.edu.cn.ORCID http://orcid.org/0000-0003-3313-1675

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32170495National Natural Science Foundation of China (National Science Foundation of China) Project 32300385
6 · The paper itself

Abstract

Animal behavior is linked to the gene regulatory network (GRN) coordinating gene expression in the brain. Eusocial honeybees, with their natural behavioral plasticity, provide an excellent model for exploring the connection between brain activity and behavior. Using single-nucleus RNA sequencing and spatial transcriptomics, we analyze the expression patterns of brain cells associated with the behavioral maturation from nursing to foraging. Integrating spatial and cellular data uncovered cell-type and spatial heterogeneity in GRN organization. Interestingly, the stripe regulon is explicitly activated in foragers' small Keyon cells, which are implicated in spatial learning and navigation. When worker age is controlled in artificial colonies, stripe and its key targets remained highly expressed in the KC regions of bees performing foraging tasks. These findings suggest that specific GRNs coordinate individual brain cell activity during behavioral transitions, shedding light on GRN-driven brain heterogeneity and its role in the division of labor of social life.

Indexed as

Behavior, AnimalBrainGene Regulatory NetworksTranscriptomeAnimalsBeesGene Expression ProfilingSingle-Cell Analysis

Identifiers

PMID40199930
PMCPMC11978848

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.