Evidence map›Paper›PMID 34679854›Full record

ReviewAnimals : an open access journal from MDPI2021

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock.

Matilde Maria Passamonti, Elisa Somenzi, Mario Barbato, Giovanni Chillemi, Licia Colli, Stéphane Joost, Marco Milanesi, Riccardo Negrini, Monia Santini, Elia Vajana and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.7field-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

22 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
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  7. Local Climate Adaptation in Chinese Indigenous Pig Genomes.Animals : an open access journal from MDPI · 2025
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  8. Article
  9. Article
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  11. Climate resilience in goats: a comprehensive review of the genetic basis for adaptation to varied climatic conditions.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  12. Article
  13. Article
  14. Review
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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

12 authors at 4 institutions in 2 countries.

Matilde Maria PassamontiDepartment of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.
Elisa SomenziDepartment of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.
Mario BarbatoDepartment of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.ORCID 0000-0002-7203-1549
Giovanni ChillemiDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, Università Della Tuscia, Via S. Camillo de Lellis snc, 01100 Viterbo, Italy.ORCID 0000-0003-3901-6926
Licia ColliDepartment of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.
Stéphane JoostLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID 0000-0002-1184-7501
Marco MilanesiDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, Università Della Tuscia, Via S. Camillo de Lellis snc, 01100 Viterbo, Italy.ORCID 0000-0001-6244-7455
Riccardo NegriniDepartment of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.
Monia SantiniImpacts on Agriculture, Forests and Ecosystem Services (IAFES) Division, Fondazione Centro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC), Viale Trieste 127, 01100 Viterbo, Italy.ORCID 0000-0002-8041-8241
Elia VajanaLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
John Lewis WilliamsDepartment of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.ORCID 0000-0001-5188-7957
Paolo Ajmone-MarsanDepartment of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.ORCID 0000-0003-3165-4579
Università Cattolica del Sacro Cuore · ITÉcole Polytechnique Fédérale de Lausanne · CHUniversità degli Studi della Tuscia · ITCMCC Foundation - Euro-Mediterranean Center on Climate Change · IT

Funding

Connecting European Facility (CEF) Telecommunications INEA/CEF/ICT/A2018/1815462Connecting European Facility (CEF) Telecommunications INEA/CEF/ICT/A2020/2373580European Union's Horizon 2020 Partnership for Research and Innovation in the Mediterranean Area Programme (PRIMA 2012European Union's Horizon 2020 Research and Innovation Programme 677353Fondo Europeo Agricolo per lo Sviluppo Rurale (FEASR). Livestock Environment Opendata, 16.2 - PSRN 2014-2020Italian Ministry of Education, University and Research Project "Landscape 4.0 - food, wellbeing and environment"
6 · The paper itself

Abstract

Livestock radiated out from domestication centres to most regions of the world, gradually adapting to diverse environments, from very hot to sub-zero temperatures and from wet and humid conditions to deserts. The climate is changing; generally global temperature is increasing, although there are also more extreme cold periods, storms, and higher solar radiation. These changes impact livestock welfare and productivity. This review describes advances in the methodology for studying livestock genomes and the impact of the environment on animal production, giving examples of discoveries made. Sequencing livestock genomes has facilitated genome-wide association studies to localize genes controlling many traits, and population genetics has identified genomic regions under selection or introgressed from one breed into another to improve production or facilitate adaptation. Landscape genomics, which combines global positioning and genomics, has identified genomic features that enable animals to adapt to local environments. Combining the advances in genomics and methods for predicting changes in climate is generating an explosion of data which calls for innovations in the way big data sets are treated. Artificial intelligence and machine learning are now being used to study the interactions between the genome and the environment to identify historic effects on the genome and to model future scenarios.

Indexed as

adaptationclimate changelivestock

Identifiers

PMID34679854
PMCPMC8532622
OpenAlexW3204888849

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.