Evidence map›Paper›PMID 38007600›Full record

ArticleScientific reports2023

Genetic diversity and historical demography of underutilised goat breeds in North-Western Europe.

Arianna Manunza, Johanna Ramirez-Diaz, Paolo Cozzi, Barbara Lazzari, Gwenola Tosser-Klopp, Bertrand Servin, Anna M Johansson, Lise Grøva, Peer Berg, Dag Inge Våge and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

11 authors at 6 institutions in 4 countries.

Arianna ManunzaInstitute of Agricultural Biology and Biotechnology, National Research Council, via Edoardo Bassini, 15, 20133, Milan, Italy. arianna.manunza@ibba.cnr.it.
Johanna Ramirez-DiazInstitute of Agricultural Biology and Biotechnology, National Research Council, via Edoardo Bassini, 15, 20133, Milan, Italy.
Paolo CozziInstitute of Agricultural Biology and Biotechnology, National Research Council, via Edoardo Bassini, 15, 20133, Milan, Italy.
Barbara LazzariInstitute of Agricultural Biology and Biotechnology, National Research Council, via Edoardo Bassini, 15, 20133, Milan, Italy.
Gwenola Tosser-KloppGenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.
Bertrand ServinGenPhySE, Université de Toulouse, INRAE, ENVT, 31326, Castanet-Tolosan, France.
Anna M JohanssonDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Box 7023, 75007, Uppsala, Sweden.
Lise GrøvaNorwegian Institute of Bioeconomy Research, Gunnars vei 6, NO-6630, Tingvoll, Norway.
Peer BergFaculty of Biosciences, NMBU, Norwegian University of Life Sciences, P.O. Box 5003, N-1432, ÅS, Norway.
Dag Inge VågeFaculty of Biosciences, NMBU, Norwegian University of Life Sciences, P.O. Box 5003, N-1432, ÅS, Norway.
Alessandra StellaInstitute of Agricultural Biology and Biotechnology, National Research Council, via Edoardo Bassini, 15, 20133, Milan, Italy.
Deleted InstitutionInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRNational Research Council · ITNorwegian University of Life Sciences · NONorwegian Institute of Bioeconomy Research · NOSwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, several studies aimed at dissecting the genetic architecture of local small ruminant breeds to discover which variations are involved in the process of adaptation to environmental conditions, a topic that has acquired priority due to climate change. Considering that traditional breeds are a reservoir of such important genetic variation, improving the current knowledge about their genetic diversity and origin is the first step forward in designing sound conservation guidelines. The genetic composition of North-Western European archetypical goat breeds is still poorly exploited. In this study we aimed to fill this gap investigating goat breeds across Ireland and Scandinavia, including also some other potential continental sources of introgression. The PCA and Admixture analyses suggest a well-defined cluster that includes Norwegian and Swedish breeds, while the crossbred Danish landrace is far apart, and there appears to be a close relationship between the Irish and Saanen goats. In addition, both graph representation of historical relationships among populations and f4-ratio statistics suggest a certain degree of gene flow between the Norse and Atlantic landraces. Furthermore, we identify signs of ancient admixture events of Scandinavian origin in the Irish and in the Icelandic goats. The time when these migrations, and consequently the introgression, of Scandinavian-like alleles occurred, can be traced back to the Viking colonisation of these two isles during the Viking Age (793-1066 CE). The demographic analysis indicates a complicated history of these traditional breeds with signatures of bottleneck, inbreeding and crossbreeding with the improved breeds. Despite these recent demographic changes and the historical genetic background shaped by centuries of human-mediated gene flow, most of them maintained their genetic identity, becoming an irreplaceable genetic resource as well as a cultural heritage.

Indexed as

Genetics, PopulationGenetic VariationAnimalsDemographyEuropeGoatsHumansPolymorphism, Single Nucleotide

Identifiers

PMID38007600
PMCPMC10676416
OpenAlexW4388998403

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.