Evidence map›Paper›PMID 26239391›Full record

ArticleGenetics, selection, evolution : GSE2015

Genetic diversity of Italian goat breeds assessed with a medium-density SNP chip.

Letizia Nicoloso, Lorenzo Bomba, Licia Colli, Riccardo Negrini, Marco Milanesi, Raffaele Mazza, Tiziana Sechi, Stefano Frattini, Andrea Talenti, Beatrice Coizet and 12 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
8.2field-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

52 citing papers in PubMed, 112 citations in OpenAlex.

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  20. A near complete genome for goat genetic and genomic research.Genetics, selection, evolution : GSE · 2021
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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

22 authors at 8 institutions in 1 country.

Letizia NicolosoDIVET, Università degli Studi di Milano, via Celoria 10, 20133, Milan, Italy. letizia.nicoloso@unimi.it.
Lorenzo BombaIstituto di Zootecnica, Università Cattolica del Sacro Cuore, via Emilia Parmense, 84, 29122, Piacenza, Italy. lorenzo.bomba@unicatt.it.
Licia ColliIstituto di Zootecnica, Università Cattolica del Sacro Cuore, via Emilia Parmense, 84, 29122, Piacenza, Italy. licia.colli@unicatt.it.
Riccardo NegriniIstituto di Zootecnica, Università Cattolica del Sacro Cuore, via Emilia Parmense, 84, 29122, Piacenza, Italy. riccardo.negrini@unicatt.it.
Marco MilanesiIstituto di Zootecnica, Università Cattolica del Sacro Cuore, via Emilia Parmense, 84, 29122, Piacenza, Italy. marco.milanesi@unicatt.it.
Raffaele MazzaLaboratorio Genetica e Servizi (LGS) - Associazione Italiana Allevatori (AIA), via Bergamo, 292, 26100, Cremona, Italy. mazza.r@aia.it.
Tiziana SechiAgris Sardegna, Unità di Ricerca di Genetica e Biotecnologie, Sassari, Italy. tsechi@agrisricerca.it.
Stefano FrattiniDIVET, Università degli Studi di Milano, via Celoria 10, 20133, Milan, Italy. stefano.frattini@unimi.it.
Andrea TalentiDIVET, Università degli Studi di Milano, via Celoria 10, 20133, Milan, Italy. andrea.talenti@unimi.it.
Beatrice CoizetDIVET, Università degli Studi di Milano, via Celoria 10, 20133, Milan, Italy. beatrice.coizet@unimi.it.
Stefania ChessaCNR - IBBA, UOS di Lodi, via Einstein, Località Cascina Codazza, 26900, Lodi, Italy. chessa@ibba.cnr.it.
Donata MarlettaDipartimento di Agricoltura, Alimentazione e Ambiente Di3A, Università degli Studi di Catania, via Valdisavoia 5, 95123, Catania, Italy. d.marletta@unict.it.
Mariasilvia D'AndreaDipartimento Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, via Francesco De Sanctis s.n.c., 86100, Campobasso, Italy. dandrea@unimol.it.
Salvatore BordonaroDipartimento di Agricoltura, Alimentazione e Ambiente Di3A, Università degli Studi di Catania, via Valdisavoia 5, 95123, Catania, Italy. s.bordonaro@unict.it.
Grazyna PtakDipartimento Scienze Biomediche Comparate, Università di Teramo, Piazza Aldo Moro 45, Teramo, Italy. gptak@unite.it.
Antonello CartaAgris Sardegna, Unità di Ricerca di Genetica e Biotecnologie, Sassari, Italy. acarta@agrisricerca.it.
Giulio PagnaccoDIVET, Università degli Studi di Milano, via Celoria 10, 20133, Milan, Italy. giulio.pagnacco@unimi.it.
Alessio ValentiniDipartimento per l'Innovazione nei sistemi Biologici, Agroalimentari e Forestali, Università della Tuscia, via de Lellis, 01100, Viterbo, Italy. alessio@unitus.it.
Fabio PillaDipartimento Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, via Francesco De Sanctis s.n.c., 86100, Campobasso, Italy. pilla@unimol.it.
Paolo Ajmone-MarsanIstituto di Zootecnica, Università Cattolica del Sacro Cuore, via Emilia Parmense, 84, 29122, Piacenza, Italy. paolo.ajmone@unicatt.it.
Paola CrepaldiDIVET, Università degli Studi di Milano, via Celoria 10, 20133, Milan, Italy. paola.crepaldi@unimi.it.
Italian Goat Consortium
University of Milan · ITUniversità Cattolica del Sacro Cuore · ITSardegna Agricoltura · ITUniversity of Catania · ITUniversity of Molise · ITAssociazione Regionale Allevatori della Lombardia · ITUniversità degli Studi della Tuscia · ITUniversity of Teramo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong the European countries, Italy counts the largest number of local goat breeds. Thanks to the recent availability of a medium-density SNP (single nucleotide polymorphism) chip for goat, the genetic diversity of Italian goat populations was characterized by genotyping samples from 14 Italian goat breeds that originate from different geographical areas with more than 50 000 SNPs evenly distributed on the genome.

resultsAnalysis of the genotyping data revealed high levels of genetic polymorphism and an underlying North-south geographic pattern of genetic diversity that was highlighted by both the first dimension of the multi-dimensional scaling plot and the Neighbour network reconstruction. We observed a moderate and weak population structure in Northern and Central-Southern breeds, respectively, with pairwise FST values between breeds ranging from 0.013 to 0.164 and 7.49 % of the total variance assigned to the between-breed level. Only 2.11 % of the variance explained the clustering of breeds into geographical groups (Northern, Central and Southern Italy and Islands).

conclusionsOur results indicate that the present-day genetic diversity of Italian goat populations was shaped by the combined effects of drift, presence or lack of gene flow and, to some extent, by the consequences of traditional management systems and recent demographic history. Our findings may constitute the starting point for the development of marker-assisted approaches, to better address future breeding and management policies in a species that is particularly relevant for the medium- and long-term sustainability of marginal regions.

Indexed as

Polymorphism, Single NucleotideAnimalsGene FlowGenetic DriftGenotypeGoatsInbreedingItalyPhylogeography

Identifiers

PMID26239391
PMCPMC4523021
OpenAlexW2132417050

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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.