Evidence map›Paper›PMID 33633776›Full record

ArticleFrontiers in genetics2021

Gene Banks as Reservoirs to Detect Recent Selection: The Example of the Asturiana de los Valles Bovine Breed.

Simon Boitard, Cyriel Paris, Natalia Sevane, Bertrand Servin, Kenza Bazi-Kabbaj, Susana Dunner

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Unravelling Heterozygosity-Rich Regions in the Holstein Genome.Animals : an open access journal from MDPI · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
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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

6 authors.

Simon BoitardGenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, Castanet-Tolosan, France.
Cyriel ParisGenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, Castanet-Tolosan, France.
Natalia SevaneDpto. Animal Production, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.
Bertrand ServinGenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, Castanet-Tolosan, France.
Kenza Bazi-KabbajGABI, INRAE, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Susana DunnerDpto. Animal Production, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene banks, framed within the efforts for conserving animal genetic resources to ensure the adaptability of livestock production systems to population growth, income, and climate change challenges, have emerged as invaluable resources for biodiversity and scientific research. Allele frequency trajectories over the few last generations contain rich information about the selection history of populations, which cannot be obtained from classical selection scan approaches based on present time data only. Here we apply a new statistical approach taking advantage of genomic time series and a state of the art statistic (nSL) based on present time data to disentangle both old and recent signatures of selection in the Asturiana de los Valles cattle breed. This local Spanish originally multipurpose breed native to Asturias has been selected for beef production over the last few generations. With the use of SNP chip and whole-genome sequencing (WGS) data, we detect candidate regions under selection reflecting the effort of breeders to produce economically valuable beef individuals, e.g., by improving carcass and meat traits with genes such as

Indexed as

cattlegene banksnSLselection signaturestime series

Identifiers

PMID33633776
PMCPMC7901938

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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.