Evidence map›Paper›PMID 38302894›Full record

ArticleBMC genomics2024

Metabolomics and transcriptomics of embryonic livers reveal hypoxia adaptation of Tibetan chickens.

Mingming Xue, Runjie Yu, Lixian Yang, Fuyin Xie, Meiying Fang, Qiguo Tang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2024. 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
0.9field-weighted citation impact, top 28% of its field
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, 4 citations in OpenAlex.

  1. Article
  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

6 authors at 2 institutions in 1 country.

Mingming XueDepartment of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Laboratory of Animal Genetics and Breeding, Beijing key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, 100193, Beijing, China.
Runjie YuDepartment of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Laboratory of Animal Genetics and Breeding, Beijing key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, 100193, Beijing, China.
Lixian YangDepartment of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Laboratory of Animal Genetics and Breeding, Beijing key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, 100193, Beijing, China.
Fuyin XieDepartment of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Laboratory of Animal Genetics and Breeding, Beijing key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, 100193, Beijing, China.
Meiying FangDepartment of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Laboratory of Animal Genetics and Breeding, Beijing key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, 100193, Beijing, China.
Qiguo TangDevelopment Center of Science and Technology, MARA, 100176, Beijing, China. qgtango@163.com.
China Agricultural University · CNChina Rural Technology Development Center · CN

Funding

National Key Research and Development Program of China No. 2021YFD1200803National Natural Science Foundation of China for Youth Science Fund No. 32202661National System for Layer Production Technology Grant CARS-41
6 · The paper itself

Abstract

backgroundExploring the hypoxia adaptation mechanism of Tibetan chicken is of great significance for revealing the survival law of Tibetan chicken and plateau animal husbandry production. To investigate the hypoxia adaptation of Tibetan chickens (TBCs), an integrative metabolomic-transcriptomic analysis of the liver on day 18 of embryonic development was performed. Dwarf laying chickens (DLCs), a lowland breed, were used as a control.

resultsA total of 1,908 metabolites were identified in both TBCs and DLCs. Energy metabolism and amino acid metabolism related differentially regulated metabolites (DRMs) were significantly enriched under hypoxia. Important metabolic pathways including the TCA cycle and arginine and proline metabolism were screened; PCK1, SUCLA2, and CPS1 were found to be altered under hypoxic conditions. In addition, integrated analysis suggested potential differences in mitochondrial function, which may play a crucial role in the study of chicken oxygen adaptation.

conclusionsThese results suggest that hypoxia changed the gene expression and metabolic patterns of embryonic liver of TBCs compared to DLCs. Our study provides a basis for uncovering the molecular regulation mechanisms of hypoxia adaptation in TBCs with the potential application of hypoxia adaptation research for other animals living on the Qinghai-Tibet plateau, and may even contribute to the study of diseases caused by hypoxia.

Indexed as

ChickensHypoxiaAdaptation, PhysiologicalAltitudeAnimalsGene Expression ProfilingLiverTibetEmbryonic liverHypoxiaMetabolomicsTibetan chickensTranscriptomics

Identifiers

PMID38302894
PMCPMC10832288
OpenAlexW4391438339

What OpenQuestion holds

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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.