Evidence map›Paper›PMID 31884969›Full record

ArticleBMC biology2019

Multi-species annotation of transcriptome and chromatin structure in domesticated animals.

Sylvain Foissac, Sarah Djebali, Kylie Munyard, Nathalie Vialaneix, Andrea Rau, Kevin Muret, Diane Esquerré, Matthias Zytnicki, Thomas Derrien, Philippe Bardou and 26 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

91 citing papers in PubMed, 190 citations in OpenAlex.

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  11. Prediction of Enhancer RNAs in Chicken Genome.International journal of molecular sciences · 2025
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31 more citing papers are in PubMed but not listed here.

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

36 authors at 9 institutions in 3 countries.

Sylvain FoissacGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France. sylvain.foissac@inra.fr.ORCID http://orcid.org/0000-0002-2631-5356
Sarah DjebaliGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Kylie MunyardCurtin University, School of Pharmacy & Biomedical Sciences, CHIRI Biosciences, Perth, 24105, Australia.
Nathalie VialaneixMIAT, Université de Toulouse, INRA, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Andrea RauGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Kevin MuretPEGASE, Agrocampus-Ouest, INRA, Saint-Gilles Cedex, F-35590, France.
Diane EsquerréGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Matthias ZytnickiMIAT, Université de Toulouse, INRA, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Thomas DerrienUMR6290 IGDR, CNRS, Université Rennes 1, Rennes, France.
Philippe BardouGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Fany BlancGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Cédric CabauGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Elisa CrisciGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Sophie Dhorne-PolletGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Françoise DrouetUMR1282 ISP, INRA, Nouzilly, F-37380, France.
Thomas FarautGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Ignacio GonzalezMIAT, Université de Toulouse, INRA, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Adeline GoubilGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Sonia Lacroix-LamandéUMR1282 ISP, INRA, Nouzilly, F-37380, France.
Fabrice LaurentUMR1282 ISP, INRA, Nouzilly, F-37380, France.
Sylvain MartheyGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Maria Marti-MarimonGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Raphaelle Momal-LeisenringGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Florence MompartGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Pascale QuéréUMR1282 ISP, INRA, Nouzilly, F-37380, France.
David RobelinGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Magali San CristobalGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Gwenola Tosser-KloppGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Silvia Vincent-NaulleauIRCM, CEA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Stéphane FabreGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Marie-Hélène Pinard-Van der LaanGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Christophe KloppMIAT, Université de Toulouse, INRA, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Michèle Tixier-BoichardGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France.
Hervé AcloqueGenPhySE, Université de Toulouse, INRA, INPT, ENVT, Chemin de Borde Rouge, Castanet-Tolosan Cedex, F-31326, France.
Sandrine LagarriguePEGASE, Agrocampus-Ouest, INRA, Saint-Gilles Cedex, F-35590, France.
Elisabetta GiuffraGABI, AgroParisTech, INRA, Université Paris Saclay, Jouy-en-Josas, F-78350, France. elisabetta.giuffra@inra.fr.
École Nationale Vétérinaire de Toulouse · FRAgroParisTech · FRDépartement mathématiques, informatique, sciences de la donnée et technologies du numérique · FRPhysiologie de la Reproduction et des Comportements · FRInstitut Agro Rennes-Angers · FRCentre National de la Recherche Scientifique · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRCurtin University · AUNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComparative genomics studies are central in identifying the coding and non-coding elements associated with complex traits, and the functional annotation of genomes is a critical step to decipher the genotype-to-phenotype relationships in livestock animals. As part of the Functional Annotation of Animal Genomes (FAANG) action, the FR-AgENCODE project aimed to create reference functional maps of domesticated animals by profiling the landscape of transcription (RNA-seq), chromatin accessibility (ATAC-seq) and conformation (Hi-C) in species representing ruminants (cattle, goat), monogastrics (pig) and birds (chicken), using three target samples related to metabolism (liver) and immunity (CD4+ and CD8+ T cells).

resultsRNA-seq assays considerably extended the available catalog of annotated transcripts and identified differentially expressed genes with unknown function, including new syntenic lncRNAs. ATAC-seq highlighted an enrichment for transcription factor binding sites in differentially accessible regions of the chromatin. Comparative analyses revealed a core set of conserved regulatory regions across species. Topologically associating domains (TADs) and epigenetic A/B compartments annotated from Hi-C data were consistent with RNA-seq and ATAC-seq data. Multi-species comparisons showed that conserved TAD boundaries had stronger insulation properties than species-specific ones and that the genomic distribution of orthologous genes in A/B compartments was significantly conserved across species.

conclusionsWe report the first multi-species and multi-assay genome annotation results obtained by a FAANG project. Beyond the generation of reference annotations and the confirmation of previous findings on model animals, the integrative analysis of data from multiple assays and species sheds a new light on the multi-scale selective pressure shaping genome organization from birds to mammals. Overall, these results emphasize the value of FAANG for research on domesticated animals and reinforces the importance of future meta-analyses of the reference datasets being generated by this community on different species.

Indexed as

Molecular Sequence AnnotationTranscriptomeAnimalsAnimals, DomesticCattleChickensChromatinGoatsPhylogenySus scrofaChromatinATAC-seqFunctional annotationHi-CLivestockRNA-seq

Identifiers

PMID31884969
PMCPMC6936065
OpenAlexW2996978921

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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.