Evidence map›Paper›PMID 30449276›Full record

ArticleGenetics, selection, evolution : GSE2018

Signatures of selection and environmental adaptation across the goat genome post-domestication.

Francesca Bertolini, Bertrand Servin, Andrea Talenti, Estelle Rochat, Eui Soo Kim, Claire Oget, Isabelle Palhière, Alessandra Crisà, Gennaro Catillo, Roberto Steri and 15 more

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing 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

101 citing papers in PubMed.

  1. Deciphering genetic diversity and selection footprints in Rathi cattle through ddRAD-based genome-wide analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  2. Article
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  4. Mapping genomic adaptation to environmental heterogeneity in Indian native goat populations through landscape genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  5. Article
  6. Article
  7. Signature of Selection Analysis Reveals Candidate Genes Related to Climate Adaptation and Production Traits in Lao Native Goats.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  8. Review
  9. Review
  10. Genomic insights into the recent evolution and biodiversity of Italian sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
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  13. Review
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41 more citing papers are in PubMed but not listed here.

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

25 authors.

Francesca BertoliniDepartment of Animal Science, Iowa State University, Ames, IA, 50011, USA. fbert@iastate.edu.ORCID http://orcid.org/0000-0003-4181-3895
Bertrand ServinGenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326, Castanet Tolosan, France.
Andrea TalentiDipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy.
Estelle RochatLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
Eui Soo KimRecombinetics Inc, St Paul, 55104, MN, USA.
Claire OgetGenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326, Castanet Tolosan, France.
Isabelle PalhièreGenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326, Castanet Tolosan, France.
Alessandra CrisàConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA) - Research Centre for Animal Production and Acquaculture, 00015, Monterotondo, Roma, Italy.
Gennaro CatilloConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA) - Research Centre for Animal Production and Acquaculture, 00015, Monterotondo, Roma, Italy.
Roberto SteriConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA) - Research Centre for Animal Production and Acquaculture, 00015, Monterotondo, Roma, Italy.
Marcel AmillsCentre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonoma de Barcelona, Bellaterra, 08193, Barcelona, Spain.
Licia ColliDIANA Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, 29100, Piacenza, Italy.
Gabriele MarrasFondazione Parco Tecnologico Padano (PTP), 26900, Lodi, Italy.
Marco MilanesiDIANA Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, 29100, Piacenza, Italy.
Ezequiel NicolazziFondazione Parco Tecnologico Padano (PTP), 26900, Lodi, Italy.
Benjamin D RosenAnimal Genomics and Improvement Laboratory, ARS USDA, Beltsville, MD, 20705, USA.
Curtis P Van TassellAnimal Genomics and Improvement Laboratory, ARS USDA, Beltsville, MD, 20705, USA.
Bernt GuldbrandtsenCenter for Quantitative Genetics and Genomics, Aarhus University, 8830, Tjele, Denmark.
Tad S SonstegardRecombinetics Inc, St Paul, 55104, MN, USA.
Gwenola Tosser-KloppGenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326, Castanet Tolosan, France.
Alessandra StellaBioDNA Centro di Ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del S. Cuore, 29100, Piacenza, Italy.
Max F RothschildDepartment of Animal Science, Iowa State University, Ames, IA, 50011, USA.
Stéphane JoostLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
Paola CrepaldiDipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy.
AdaptMap consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince goat was domesticated 10,000 years ago, many factors have contributed to the differentiation of goat breeds and these are classified mainly into two types: (i) adaptation to different breeding systems and/or purposes and (ii) adaptation to different environments. As a result, approximately 600 goat breeds have developed worldwide; they differ considerably from one another in terms of phenotypic characteristics and are adapted to a wide range of climatic conditions. In this work, we analyzed the AdaptMap goat dataset, which is composed of data from more than 3000 animals collected worldwide and genotyped with the CaprineSNP50 BeadChip. These animals were partitioned into groups based on geographical area, production uses, available records on solid coat color and environmental variables including the sampling geographical coordinates, to investigate the role of natural and/or artificial selection in shaping the genome of goat breeds.

resultsSeveral signatures of selection on different chromosomal regions were detected across the different breeds, sub-geographical clusters, phenotypic and climatic groups. These regions contain genes that are involved in important biological processes, such as milk-, meat- or fiber-related production, coat color, glucose pathway, oxidative stress response, size, and circadian clock differences. Our results confirm previous findings in other species on adaptation to extreme environments and human purposes and provide new genes that could explain some of the differences between goat breeds according to their geographical distribution and adaptation to different environments.

conclusionsThese analyses of signatures of selection provide a comprehensive first picture of the global domestication process and adaptation of goat breeds and highlight possible genes that may have contributed to the differentiation of this species worldwide.

Indexed as

AcclimatizationDomesticationSelection, GeneticAnimalsBreedingGenetic VariationGenomeGenotypeGoatsPhenotypePolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID30449276
PMCPMC6240954

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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.