Evidence map›Paper›PMID 42617268›Full record

ArticlePoultry science2026

DNA methylation profiling of the granulosa layer reveals epigenetic features of excessive hierarchical follicle development in chickens.

Zihan Xu, Yanyue Pan, Ranran Zhu, Yuxiang Jiang, Ziyi Lian, Bingjie Zhang, Haonan Tang, Wanyi Xiong, Xiuping Wang, Jiankui Wang and 1 more

Abstract read
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zihan XuBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China.
Yanyue PanBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China.
Ranran ZhuBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China; Hainan Sanya Institute, Sanya 572024, China.
Yuxiang JiangBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China; Hainan Sanya Institute, Sanya 572024, China.
Ziyi LianBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China; Hainan Sanya Institute, Sanya 572024, China.
Bingjie ZhangBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China.
Haonan TangBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China.
Wanyi XiongBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China; Hainan Sanya Institute, Sanya 572024, China.
Xiuping WangBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China; Hainan (Tan Niu) Wenchang Chicken Co., LTD, Haikou 570100, China.
Jiankui WangBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China.
Xuemei DengBeijing Key Laboratory for Animal Genetic Improvement & Key Laboratory of Animal Genetics, Breeding and Reproduction (livestock), Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China. Electronic address: deng@cau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The excessive hierarchical follicles (EHF) trait is a form of ovarian dysfunction in poultry, characterized by an accumulation of hierarchical follicles; however, the developmental dynamics and epigenetic mechanisms underlying this trait remain incompletely understood. In this study, ultrasonography was applied to monitor follicle development dynamics in chickens. Furthermore, whole-genome bisulfite sequencing was performed to identify DNA methylation alterations in the granulosa layer relevant to the EHF trait. During the early laying period, the EHF trait exhibited a fluctuating downward trend and was associated with impaired egg production. DNA methylation occurred predominantly in the CG context and displayed a pattern of promoter hypomethylation and genebody hypermethylation. In EHF chickens, more pronounced hypomethylation was detected in CpG islands, promoters, 5'UTRs, and exons in the small yellow follicle granulosa layer (SYG). Several genes overlapping promoter-related differentially methylated regions were significantly enriched in pathways such as Wnt signaling, Calcium signaling, and Focal adhesion. Among these genes, AKT1, PIK3CA, FZD2, CAMK2A, and RYR2 exhibited significant promoter hypomethylation together with increased mRNA expression. In summary, this study suggests that region-specific promoter hypomethylation in SYG may contribute to EHF development. These findings enhance understanding of the epigenetic regulation of the EHF trait and may support efforts in laying management.

Indexed as

ChickenDNA methylationEHFGranulosa layer

Identifiers

PMID42617268
PMCPMC13521220

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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.