Evidence map›Paper›PMID 40169632›Full record

ArticleScientific data2025

Pig and quail CpG methylation datasets from short and long read sequencing technologies.

Paul Terzian, Céline Vandecasteele, Joanna Lledo, Rémy-Félix Serre, Jules Sabban, Claire Kuchly, Frédérique Pitel, Sophie Leroux, Julie Demars, Nathalie Iannuccelli and 7 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Paul Terzian *Université Fédérale de Toulouse, INRAE, BioinfOmics, GenoToul Bioinformatics facility, 31326, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0002-7092-3906
Céline Vandecasteele *INRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, Castanet-Tolosan, France. celine.vandecasteele@inrae.fr.ORCID http://orcid.org/0000-0002-5262-0709
Joanna LledoINRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0001-7239-2259
Rémy-Félix SerreINRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, Castanet-Tolosan, France.
Jules SabbanINRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0001-6780-5362
Claire KuchlyINRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0001-8994-550X
Frédérique PitelGenPhySE, Université Fédérale de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0002-1477-7633
Sophie LerouxGenPhySE, Université Fédérale de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0003-2840-5109
Julie DemarsGenPhySE, Université Fédérale de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0003-2451-0059
Nathalie IannuccelliGenPhySE, Université Fédérale de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0002-7822-3250
Katia FèveGenPhySE, Université Fédérale de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.
Michèle BonnetGenPhySE, Université Fédérale de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.
Christine GaspinUniversité Fédérale de Toulouse, INRAE, BioinfOmics, GenoToul Bioinformatics facility, 31326, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0003-0304-5186
Denis MilanINRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0002-8062-5072
Carole IampietroINRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0002-8148-4785
Christophe KloppUniversité Fédérale de Toulouse, INRAE, BioinfOmics, GenoToul Bioinformatics facility, 31326, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0001-7126-5477
Cécile DonnadieuINRAE, US 1426, GeT-PlaGe, Genotoul, France Génomique, Université Fédérale de Toulouse, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0002-5164-3095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CpG methylation, a key epigenetic mark involved in gene regulation, development, and other biological processes, is commonly analyzed using Whole-Genome Bisulfite Sequencing (WGBS). However, bisulfite treatment causes significant DNA degradation. Enzymatic Methyl-seq (EM-seq) offers a short-read alternative that preserves DNA integrity but requires conversion steps, limiting its compatibility with downstream analyses. Third-generation sequencing technologies, such as Oxford Nanopore Technologies (ONT) and PacBio, enable direct detection of DNA modifications without altering the DNA, providing simultaneous genome and epigenome information. This work presents a comprehensive dataset combining long- and short-read sequencing data, including ONT, PacBio, Enzymatic Methyl-seq, and WGBS, for two agronomically relevant species: pig (Sus scrofa) and quail (Coturnix japonica). Data quality evaluation reveals high nucleotide quality scores for PacBio and short reads, robust alignment rates for long reads, and inter-method correlations in CpG methylation calling ranging from 0.76 to 0.99. This dataset is a valuable resource for training methylation callers and represents the first combined methylation dataset for these species, providing an essential benchmark for assessing emerging sequencing technologies.

Indexed as

CpG IslandsDNA MethylationQuailSus scrofaAnimalsHigh-Throughput Nucleotide SequencingSequence Analysis, DNASwine

Identifiers

PMID40169632
PMCPMC11961558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.