Evidence map›Paper›PMID 26497311›Full record

ArticleBMC genomics2015

Genome-wide DNA methylome variation in two genetically distinct chicken lines using MethylC-seq.

Jinxiu Li, Rujiao Li, Ying Wang, Xiaoxiang Hu, Yiqiang Zhao, Li Li, Chungang Feng, Xiaorong Gu, Fang Liang, Susan J Lamont and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 58 citations in OpenAlex.

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  5. DNA methylation in poultry: a review.Journal of animal science and biotechnology · 2023
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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

13 authors at 5 institutions in 2 countries.

Jinxiu LiThe State Key Laboratory for Agro-biotechnology, China Agricultural University, Beijing, 100193, China.
Rujiao LiCore Genomic Facility, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Ying WangDepartment of Animal Science, University of California, Davis, CA, 95616, USA.
Xiaoxiang HuThe State Key Laboratory for Agro-biotechnology, China Agricultural University, Beijing, 100193, China.
Yiqiang ZhaoThe State Key Laboratory for Agro-biotechnology, China Agricultural University, Beijing, 100193, China.
Li LiThe State Key Laboratory for Agro-biotechnology, China Agricultural University, Beijing, 100193, China.
Chungang FengThe State Key Laboratory for Agro-biotechnology, China Agricultural University, Beijing, 100193, China.
Xiaorong GuThe State Key Laboratory for Agro-biotechnology, China Agricultural University, Beijing, 100193, China.
Fang LiangCore Genomic Facility, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Susan J LamontDepartment of Animal Science, Iowa State University, Ames, IA, 50011, USA.
Songnian HuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Huaijun ZhouDepartment of Animal Science, University of California, Davis, CA, 95616, USA. hzhou@ucdavis.edu.
Ning LiThe State Key Laboratory for Agro-biotechnology, China Agricultural University, Beijing, 100193, China. ninglcau@cau.edu.cn.
China Agricultural University · CNBeijing Institute of Genomics · CNUniversity of California, Davis · USChinese Academy of Sciences · CNIowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA cytosine methylation is an important epigenetic modification that has significant effects on a variety of biological processes in animals. Avian species hold a crucial position in evolutionary history. In this study, we used whole-genome bisulfite sequencing (MethylC-seq) to generate single base methylation profiles of lungs in two genetically distinct and highly inbred chicken lines (Fayoumi and Leghorn) that differ in genetic resistance to multiple pathogens, and we explored the potential regulatory role of DNA methylation associated with immune response differences between the two chicken lines.

methodsThe MethylC-seq was used to generate single base DNA methylation profiles of Fayoumi and Leghorn birds. In addition, transcriptome profiling using RNA-seq from the same chickens and tissues were obtained to interrogate how DNA methylation regulates gene transcription on a genome-wide scale.

resultsThe general DNA methylation pattern across different regions of genes was conserved compared to other species except for hyper-methylation of repeat elements, which was not observed in chicken. The methylation level of miRNA and pseudogene promoters was high, which indicates that silencing of these genes may be partially due to promoter hyper-methylation. Interestingly, the promoter regions of more recently evolved genes tended to be more highly methylated, whereas the gene body regions of evolutionarily conserved genes were more highly methylated than those of more recently evolved genes. Immune-related GO (Gene Ontology) terms were significantly enriched from genes within the differentially methylated regions (DMR) between Fayoumi and Leghorn, which implicates DNA methylation as one of the regulatory mechanisms modulating immune response differences between these lines.

conclusionsThis study establishes a single-base resolution DNA methylation profile of chicken lung and suggests a regulatory role of DNA methylation in controlling gene expression and maintaining genome transcription stability. Furthermore, profiling the DNA methylomes of two genetic lines that differ in disease resistance provides a unique opportunity to investigate the potential role of DNA methylation in host disease resistance. Our study provides a foundation for future studies on epigenetic modulation of host immune response to pathogens in chickens.

Indexed as

DNA MethylationEpigenesis, GeneticEpigenomicsTranscriptomeAnimalsBase CompositionChickensComputational BiologyCpG IslandsEvolution, MolecularGene Expression ProfilingGene Expression RegulationGenomeGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingLung

Identifiers

PMID26497311
PMCPMC4619007
OpenAlexW1856671372

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.