Evidence map›Paper›PMID 40790246›Full record

ArticleJournal of animal science and biotechnology2025

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Lizhi Tan, Xinyu Cai, Yuan Kong, Zexuan Liu, Zilong Wen, Lina Bu, Yuzhan Wang, Xiaojun Liu, Zhiwu Zhang, Jianlin Han and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of animal science and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

12 authors.

Lizhi TanState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Xinyu CaiState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Yuan KongState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Zexuan LiuState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Zilong WenState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Lina BuState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
Yuzhan WangCollege of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Xiaojun LiuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
Zhiwu ZhangDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, USA.
Jianlin HanYazhouwan National Laboratory, Sanya, 572024, China.
Dandan WangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China. wdd13938406174@163.com.
Yiqiang ZhaoState Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China. yiqiangz@cau.edu.cn.ORCID http://orcid.org/0000-0002-0076-3476

Funding

National Key Research and Development Program of China 2021YFD1200803National Key Research and Development Program of China 2022YFF1000204
6 · The paper itself

Abstract

backgroundCompared to many other vertebrates, chickens have a high reproductive efficiency in terms of egg production. The classic traits for evaluating egg-laying performance include age at first egg, egg number, clutch size, laying rate, etc. These egg-laying traits were not specifically designed to characterize egg production efficiency and stability. By considering the stage-specific variations in the egg production curve, this study aims to investigate the genetic mechanisms that directly influence the efficiency of egg production at each stage of the laying cycle.

resultsUsing whole-genome sequencing data, we perform comprehensive genome-wide association study for 39 traits that focus on egg production efficiency and stability in the Gushi chicken. We showed that the haplotype-based approach is more effective for genetic mapping and capturing polygenic architecture. By combining the signals of Singleton Density Score (SDS), which is a population-genetic statistic designed to detect recent selection by leveraging the distribution of singletons, and association analyses, multiple egg-laying traits related to egg production efficiency were found to have experienced polygenic selection. Consistently, functional analysis of associated genes demonstrates that egg production efficiency benefits from multiple physiological functions. Furthermore, our results identified the CNNM2 gene, known for its role in magnesium homeostasis, plays a dual role in egg production variance, promoting variability during the up-stage while reducing it during the sustained-stage to optimize egg production efficiency.

conclusionsCollectively, our multiple genome analyses reveal a complex genetic mechanism underlying more efficient and stable egg production, and establish chicken genetics as a model for studying reproductive efficiency across species.

Indexed as

Egg production efficiencyGenome-wide association studyPolygenic architecturePolygenic selection

Identifiers

PMID40790246
PMCPMC12337387

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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.