Evidence map›Paper›PMID 40037845›Full record

ArticleGenomics, proteomics & bioinformatics2025

A Developmental Gene Expression Atlas Reveals Novel Biological Basis of Complex Phenotypes in Sheep.

Bingru Zhao, Hanpeng Luo, Xuefeng Fu, Guoming Zhang, Emily L Clark, Feng Wang, Brian Paul Dalrymple, V Hutton Oddy, Philip E Vercoe, Cuiling Wu and 6 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Spatial Modularity of Innate Immune Networks Across Bactrian Camel Tissues.Animals : an open access journal from MDPI · 2025
    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

16 authors.

Bingru ZhaoJiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0009-0004-0140-8654
Hanpeng LuoDepartment of Immunology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.ORCID 0000-0001-6211-3834
Xuefeng FuKey Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool-sheep Cashmere-goat (XJYS1105), Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi 830011, China.ORCID 0000-0001-6308-1109
Guoming ZhangJiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-4729-518X
Emily L ClarkThe Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom.ORCID 0000-0002-9550-7407
Feng WangJiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-4965-836X
Brian Paul DalrympleCSIRO Agriculture, St Lucia, QLD 4067, Australia.ORCID 0000-0003-3891-5233
V Hutton OddyNSW Department of Primary Industries, Livestock Industries Centre, University of New England, Armidale, NSW 2351, Australia.ORCID 0000-0003-1783-1049
Philip E VercoeSchool of Agriculture and Environment and Institute of Agriculture, The University of Western Australia, Perth, WA 6009, Australia.ORCID 0000-0002-3061-1908
Cuiling WuKey Laboratory of Special Environment Biodiversity Application and Regulation in Xinjiang / International Center for the Collaborative Management of Cross-border Pest in Central Asia College of Life Sciences, School of Life Sciences, Xinjiang Normal University, Urumqi 830053, China.ORCID 0000-0001-5863-5744
George E LiuAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD 20705, USA.ORCID 0000-0003-0192-6705
Cong-Jun LiAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD 20705, USA.ORCID 0000-0003-1389-9820
Ruidong XiangFaculty of Veterinary & Agricultural Science, The University of Melbourne, Parkville, VIC 3052, Australia.ORCID 0000-0002-1584-7605
Kechuan TianInstitue of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250032, China.ORCID 0000-0002-4964-0629
Yanli ZhangJiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-7901-7774
Lingzhao FangCenter for Quantitative Genetics and Genomics (QGG), Aarhus University, 8000 Aarhus, Denmark.ORCID 0000-0003-1103-3679

Funding

BBSRC BBS/E/D/10002070 AND BB/X010945/1
6 · The paper itself

Abstract

Sheep (Ovis aries) represent one of the most important livestock species for global animal protein and wool production. However, little is known about the genetic and biological basis of ovine phenotypes, particularly those with high economic value and environmental impact. Here, by integrating 1413 RNA sequencing (RNA-seq) samples from 51 distinct tissues across 14 developmental time points, representing early-prenatal, late-prenatal, neonatal, lamb, juvenile, adult, and elderly stages, we constructed a high-resolution Developmental Gene Expression Atlas (dGEA) in sheep. We observed dynamic patterns of gene expression and regulatory networks across tissues and developmental stages. Leveraging this resource to interpret genetic associations for 48 monogenic and 12 complex traits in sheep, we found that genes upregulated at prenatal developmental stages played more important roles in shaping these phenotypes than those upregulated at postnatal stages. For instance, genetic associations of crimp number, mean staple length (MSL), and individual birthweight were significantly enriched in the prenatal rather than postnatal skin and immune tissues. By comprehensively integrating genome-wide association study (GWAS) fine-mapping results with the sheep dGEA, we identified several candidate genes for complex traits in sheep, such as SOX9 for MSL, GNRHR for litter size at birth, and PRKDC for live weight. These results provide novel insights into the developmental and molecular architecture of ovine phenotypes. The dGEA (https://sheepdgea.njau.edu.cn/) will serve as an invaluable resource for sheep developmental biology, genetics, genomics, and selective breeding.

Indexed as

Gene Expression Regulation, DevelopmentalTranscriptomeAnimalsFemaleGene Regulatory NetworksGenome-Wide Association StudyPhenotypeSheepComplex traitDevelopmental biologyGene Expression AtlasGenome-wide association studySheep

Identifiers

PMID40037845
PMCPMC12228968

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LicenceCC BY
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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.