Evidence map›Paper›PMID 32664855›Full record

ArticleGenetics, selection, evolution : GSE2020

The genetic heritage of Alpine local cattle breeds using genomic SNP data.

Gabriele Senczuk, Salvatore Mastrangelo, Elena Ciani, Luca Battaglini, Filippo Cendron, Roberta Ciampolini, Paola Crepaldi, Roberto Mantovani, Graziella Bongioni, Giulio Pagnacco and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
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  5. Climate Change and Livestock Welfare in the Alps: A Comprehensive Review.Animals : an open access journal from MDPI · 2025
    Review
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  16. Chinese Domestic Ducks Evolved from Mallard Duck (Animals : an open access journal from MDPI · 2023
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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

14 authors at 9 institutions in 1 country.

Gabriele SenczukDipartimento di Agricoltura, Ambiente e Alimenti, University of Molise, 86100, Campobasso, Italy.
Salvatore MastrangeloDipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, 90128, Palermo, Italy. salvatore.mastrangelo@unipa.it.ORCID http://orcid.org/0000-0001-6511-1981
Elena CianiDipartimento di Bioscienze Biotecnologie e Biofarmaceutica, University of Bari, 70124, Bari, Italy.
Luca BattagliniDipartimento di Scienze Agrarie Forestali e Alimentari, University of Torino, 10095, Grugliasco, Italy.
Filippo CendronDipartimento di Agronomia Animali Alimenti Risorse naturali e Ambiente, University of Padova, 35020, Legnaro, Italy.
Roberta CiampoliniDipartimento di Scienze Veterinarie, University of Pisa, 56100, Pisa, Italy.
Paola CrepaldiDipartimento di Scienze Agrarie ed Ambientali - Produzione, Territorio, Agroenergia, University of Milano, 20133, Milan, Italy.
Roberto MantovaniDipartimento di Agronomia Animali Alimenti Risorse naturali e Ambiente, University of Padova, 35020, Legnaro, Italy.
Graziella BongioniIstituto Sperimentale Italiano Lazzaro Spallanzani, Loc. La Quercia, 26027, Rivolta d'Adda, CR, Italy.
Giulio PagnaccoIstituto di Biologia e Biotecnologia Agraria (IBBA), CNR, 20133, Milan, Italy.
Baldassare PortolanoDipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, 90128, Palermo, Italy.
Attilio RossoniItalian Brown Cattle Breeders' Association, Loc. Ferlina 204, 37012, Bussolengo, VR, Italy.
Fabio PillaDipartimento di Agricoltura, Ambiente e Alimenti, University of Molise, 86100, Campobasso, Italy.
Martino CassandroDipartimento di Agronomia Animali Alimenti Risorse naturali e Ambiente, University of Padova, 35020, Legnaro, Italy.
University of Padua · ITUniversity of Molise · ITUniversity of Palermo · ITIstituto di Biologia e Biotecnologia Agraria · ITIstituto Sperimentale Italiano Lazzaro Spallanzani · ITUniversity of Bari Aldo Moro · ITUniversity of Milan · ITUniversity of Pisa · ITUniversity of Turin · IT

Funding

Latteco project, sottomisura 10.2 of the PSRN-Biodiversity 2014-2020 DOR1980972/19
6 · The paper itself

Abstract

backgroundAssessment of genetic diversity and population structure provides important control metrics to avoid genetic erosion, inbreeding depression and crossbreeding between exotic and locally-adapted cattle breeds since these events can have deleterious consequences and eventually lead to extinction. Historically, the Alpine Arc represents an important pocket of cattle biodiversity with a large number of autochthonous breeds that provide a fundamental source of income for the entire regional economy. By using genotype data from medium-density single nucleotide polymorphism (SNP) arrays, we performed a genome-wide comparative study of 23 cattle populations from the Alpine Arc and three cosmopolitan breeds.

resultsAfter filtering, we obtained a final genotyping dataset consisting of 30,176 SNPs for 711 individuals. The local breeds showed high or intermediate values of genetic diversity compared to the highly selected cosmopolitan breeds. Patterns of genetic differentiation, multidimensional scaling, admixture analysis and the constructed phylogenetic tree showed convergence, which indicates the presence of gene flow among the breeds according to both geographic origin and historical background. Among the most differentiated breeds, we identified the modern Brown cattle. In spite of admixture events, several local breeds have preserved distinctive characteristics, which is probably due to differences in genetic origin and geographic location.

conclusionsThis study represents one of the most comprehensive genome-wide analysis of the Alpine cattle breeds to date. Using such a large dataset that includes the majority of the local breeds found in this region, allowed us to expand knowledge on the evaluation and status of Alpine cattle biodiversity. Our results indicate that although many of the analyzed local breeds are listed as endangered, they still harbor a large amount of genetic diversity, even when compared to some cosmopolitan breeds. This finding, together with the reconstruction of the phylogeny and the relationships between these Alpine Arc cattle breeds, provide crucial insights not only into the improvement of genetic stocks but also into the implementation of future conservation strategies.

Indexed as

PhylogenyPolymorphism, Single NucleotideAnimalsCattleEvolution, MolecularGenotype

Identifiers

PMID32664855
PMCPMC7362560
OpenAlexW3043517620

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.