Evidence map›Paper›PMID 25888052›Full record

ArticleBMC genomics2015

Annotation of the goat genome using next generation sequencing of microRNA expressed by the lactating mammary gland: comparison of three approaches.

Lenha Mobuchon, Sylvain Marthey, Mekki Boussaha, Sandrine Le Guillou, Christine Leroux, Fabienne Le Provost

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Genome-Wide Association Studies of Somatic Cell Count in the Assaf Breed.Animals : an open access journal from MDPI · 2021
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  11. RumimiR: a detailed microRNA database focused on ruminant species.Database : the journal of biological databases and curation · 2019
    Article
  12. Article
  13. Article
  14. Article
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  18. Review
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.

Lenha MobuchonINRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France. Lenha.mobuchon@clermont.inra.fr.
Sylvain MartheyINRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France. Sylvain.marthey@jouy.inra.fr.
Mekki BoussahaINRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France. Mekki.boussaha@jouy.inra.fr.
Sandrine Le GuillouINRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France. Sandrine.leguillou@jouy.inra.fr.
Christine LerouxINRA, UMR1213 Herbivores, F-63122, Saint Genès Champanelle, France. Christine.leroux@clermont.inra.fr.
Fabienne Le ProvostINRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France. Fabienne.LeProvost@jouy.inra.fr.
Génétique Animale et Biologie Intégrative · FRUnité Mixte de Recherche sur les Herbivores · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNA) are small endogenous non-coding RNA involved in the post-transcriptional regulation of specific mRNA targets. The first whole goat genome sequence became available in 2013, with few annotations. Our goal was to establish a list of the miRNA expressed in the mammary gland of lactating goats, thus enabling implementation of the goat miRNA repertoire and considerably enriching annotation of the goat genome.

resultsHere, we performed high throughput RNA sequencing on 10 lactating goat mammary glands. The bioinformatic detection of miRNA was carried out using miRDeep2 software. Three different methods were used to predict, quantify and annotate the sequenced reads. The first was a de novo approach based on the prediction of miRNA from the goat genome only. The second approach used bovine miRNA as an external reference whereas the last one used recently available goat miRNA. The three methods enabled the prediction and annotation of hundreds of miRNA, more than 95% were commonly identified. Using bovine miRNA, 1,178 distinct miRNA were detected, together with the annotation of 88 miRNA for which corresponding precursors could not be retrieved in the goat genome, and which were not detected using the de novo approach or with the use of goat miRNA. Each chromosomal coordinate of the precursors determined here were generated and depicted on a reference localisation map. Forty six goat miRNA clusters were also reported. The study revealed 263 precursors located in goat protein-coding genes, amongst which the location of 43 precursors was conserved between human, mouse and bovine, revealing potential new gene regulations in the goat mammary gland. Using the publicly available cattle QTL database, and cow precursors conserved in the goat and expressed in lactating mammary gland, 114 precursors were located within known QTL regions for milk production and composition.

conclusionsThe results reported here represent the first major identification study on miRNA expressed in the goat mammary gland at peak lactation. The elements generated by this study will now be used as references to decipher the regulation of miRNA expression in the goat mammary gland and to clarify their involvement in the lactation process.

Indexed as

GenomeAnimalsCattleCluster AnalysisComputational BiologyFemaleGoatsHigh-Throughput Nucleotide SequencingHumansLactationMammary Glands, AnimalMiceMicroRNAsQuantitative Trait LociSequence Analysis, RNAMicroRNAs

Identifiers

PMID25888052
PMCPMC4430871
OpenAlexW2147136735

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.