Evidence map›Paper›PMID 42019471›Full record

ArticlePoultry science2026

Multi-Stage transcriptomic dissection identifies key molecular determinants of chicken follicular development.

Ying Bai, Hongtai Li, Xiaoyu Ji, Wei Wang, Tianjiao Shao, Qin Chu, Rui Yuan, Yuxuan Wang, Lei Liu

Abstract read
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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

9 authors.

Ying BaiSchool of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.
Hongtai LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Xiaoyu JiSchool of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.
Wei WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.
Tianjiao ShaoSchool of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.
Qin ChuInstitute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Rui YuanSchool of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.
Yuxuan WangSchool of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China.
Lei LiuYazhouwan National Laboratory, Sanya, 572024, China. Electronic address: liulei@yzwlab.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Follicular development in the chicken ovary is a critical biological process that influences egg-laying performance and directly impacts poultry production efficiency. However, elucidating the dynamic regulatory networks involving key genes and transcription factors (TFs) during follicular development remains a major challenge. In this study, we performed a comprehensive transcriptomic analysis across six follicular stages - small white follicles, large white follicles, small yellow follicles, and three hierarchical follicles - in high and low egg-laying hens. We identified a set of essential genes and pathways closely associated with egg-laying performance, including steroid hormone biosynthesis (e.g., CYP19A1, HSD3B1) and steroid biosynthesis (e.g., CEL, DHCR24, FDFT1), which play central roles in lipid metabolism, amino acid biosynthesis, and signal transduction. Pearson correlation analysis further enabled the construction of stage-specific TF regulatory networks, highlighting pivotal TFs such as FOXO1 and HOXA10 in follicular development. Additionally, two key genes - FABP3 and ENSGALG00000054605 were identified as significantly associated with reproductive traits, showing negative correlations with egg-laying rate and age at first egg, respectively. Their differential expression trends between high and low egg-laying hens suggest potential roles in regulating laying performance and sexual maturity. Importantly, based on transcriptome predictions, we conducted functional validation of BMPR1B, a core receptor in the TGF-beta signaling pathway identified as a major regulatory hub during follicle hierarchy formation. In vitro experiments demonstrated that BMPR1B promotes granulosa-cell proliferation, confirming its essential role in follicle maturation. Collectively, this study provides new insights into the molecular regulation of chicken follicular development by integrating multi-stage transcriptomics with functional validation. The findings offer valuable molecular markers - including BMPR1B, FABP3, and ENSGALG00000054605 and potential targets for genetic improvement in poultry breeding, while also contributing to broader understanding of vertebrate reproductive biology.

Indexed as

Avian ProteinsChickensOvarian FollicleTranscriptomeAnimalsFemaleGene Expression ProfilingAvian ProteinsChickenEgg-laying rateFollicular developmentTranscription factorTranscriptome

Identifiers

PMID42019471
PMCPMC13122815

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LicenceCC BY-NC-ND
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Registered trials

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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.