Evidence map›Paper›PMID 34040003›Full record

ArticleScientific reports2021

The climatic and genetic heritage of Italian goat breeds with genomic SNP data.

Matteo Cortellari, Mario Barbato, Andrea Talenti, Arianna Bionda, Antonello Carta, Roberta Ciampolini, Elena Ciani, Alessandra Crisà, Stefano Frattini, Emiliano Lasagna and 13 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  3. Genomic insights into the recent evolution and biodiversity of Italian sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  12. Phenotypic and Genomic Characterization of theAnimals : an open access journal from MDPI · 2023
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  18. Analysis of the Association of Two SNPs in the Promoter Regions of theAnimals : an open access journal from MDPI · 2022
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  19. Article
  20. Genetic Differentiation among Livestock Breeds-Values for FAnimals : an open access journal from MDPI · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Matteo Cortellari *Dipartimento di Scienze Agrarie e Ambientali - Produzione, Territorio, Agroenergia, Università degli Studi di Milano, Via Celoria 2, 20133, Milan, Italy.ORCID http://orcid.org/0000-0002-5161-0648
Mario Barbato *Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti and BioDNA Centro di ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122, Piacenza, Italy.
Andrea TalentiDipartimento di Scienze Agrarie e Ambientali - Produzione, Territorio, Agroenergia, Università degli Studi di Milano, Via Celoria 2, 20133, Milan, Italy. andrea.talenti@ed.ac.uk.
Arianna BiondaDipartimento di Scienze Agrarie e Ambientali - Produzione, Territorio, Agroenergia, Università degli Studi di Milano, Via Celoria 2, 20133, Milan, Italy.
Antonello CartaUnità di Ricerca di Genetica e Biotecnologie, Agris Sardegna, 07100, Sassari, Italy.
Roberta CiampoliniDipartimento di Scienze Veterinarie, Università di Pisa, Viale delle Piagge 2, 56124, Pisa, Italy.
Elena CianiDipartimento di Bioscienze Biotecnologie e Biofarmaceutica, Università degli Studi di Bari, Via Orabona 4, 70126, Bari, Italy.
Alessandra CrisàConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA) - Research Centre for Animal Production and Acquaculture, 00015, Monterotondo, Rome, Italy.
Stefano FrattiniDipartimento di Scienze Agrarie e Ambientali - Produzione, Territorio, Agroenergia, Università degli Studi di Milano, Via Celoria 2, 20133, Milan, Italy.
Emiliano LasagnaDepartment of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy.
Donata MarlettaDepartment of Agriculture, Food and Environment, University of Catania, Via Valdisavoia 5, 95123, Catania, Italy.
Salvatore MastrangeloDipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, 90128, Palermo, Italy.
Alessio NegroDipartimento di Scienze Agrarie e Ambientali - Produzione, Territorio, Agroenergia, Università degli Studi di Milano, Via Celoria 2, 20133, Milan, Italy.
Ettore RandiDepartment of Chemistry and Bioscience, Faculty of Engineering and Science, University of Aalborg, Aalborg, Denmark.
Francesca M SartiDepartment of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy.
Stefano SartoreDipartimento di Scienze Veterinarie, Università degli Studi di Torino, largo Braccini 2, 10095, Grugliasco, Italy.
Dominga SogliaDipartimento di Scienze Veterinarie, Università degli Studi di Torino, largo Braccini 2, 10095, Grugliasco, Italy.
Luigi LiottaDipartimento di Scienze Veterinarie, University of Messina, Messina, Italy.
Alessandra StellaInstitute of Biology and Biotechnology in Agriculture, National Research Council (CNR), Milan, Italy.
Paolo Ajmone-MarsanDipartimento di Scienze Animali, della Nutrizione e degli Alimenti and BioDNA Centro di ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122, Piacenza, Italy.
Fabio PillaDipartimento Agricoltura, Ambiente e Alimenti Universitá degli Studi del Molise, 86100, Campobasso, Italy.
Licia ColliDipartimento di Scienze Animali, della Nutrizione e degli Alimenti and BioDNA Centro di ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122, Piacenza, Italy.
Paola CrepaldiDipartimento di Scienze Agrarie e Ambientali - Produzione, Territorio, Agroenergia, Università degli Studi di Milano, Via Celoria 2, 20133, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Local adaptation of animals to the environment can abruptly become a burden when faced with rapid climatic changes such as those foreseen for the Italian peninsula over the next 70 years. Our study investigates the genetic structure of the Italian goat populations and links it with the environment and how genetics might evolve over the next 50 years. We used one of the largest national datasets including > 1000 goats from 33 populations across the Italian peninsula collected by the Italian Goat Consortium and genotyped with over 50 k markers. Our results showed that Italian goats can be discriminated in three groups reflective of the Italian geography and its geo-political situation preceding the country unification around two centuries ago. We leveraged the remarkable genetic and geographical diversity of the Italian goat populations and performed landscape genomics analysis to disentangle the relationship between genotype and environment, finding 64 SNPs intercepting genomic regions linked to growth, circadian rhythm, fertility, and inflammatory response. Lastly, we calculated the hypothetical future genotypic frequencies of the most relevant SNPs identified through landscape genomics to evaluate their long-term effect on the genetic structure of the Italian goat populations. Our results provide an insight into the past and the future of the Italian local goat populations, helping the institutions in defining new conservation strategy plans that could preserve their diversity and their link to local realities challenged by climate change.

Indexed as

GoatsPolymorphism, Single NucleotideAnimalsBreedingClimateClimate ChangeGenetics, PopulationGenetic VariationGenomeGenomicsGenotypeItaly

Identifiers

PMID34040003
PMCPMC8154919

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