Abstract

Small ruminants are suited to a wide variety of habitats and thus represent promising study models for identifying genes underlying adaptations. Here, we considered local Mediterranean breeds of goats (n = 17) and sheep (n = 25) from Italy, France and Spain. Based on historical archives, we selected the breeds potentially most linked to a territory and defined their original cradle (i.e., the geographical area in which the breed has emerged), including transhumant pastoral areas. We then used the programs PCAdapt and LFMM to identify signatures of artificial and environmental selection. Considering cradles instead of current GPS coordinates resulted in a greater number of signatures identified by the LFMM analysis. The results, combined with a systematic literature review, revealed a set of genes with potentially key adaptive roles in relation to the gradient of aridity and altitude. Some of these genes have been previously implicated in lipid metabolism (SUCLG2, BMP2), hypoxia stress/lung function (BMPR2), seasonal patterns (SOX2, DPH6) or neuronal function (TRPC4, TRPC6). Selection signatures involving the PCDH9 and KLH1 genes, as well as NBEA/NBEAL1, were identified in both species and thus could play an important adaptive role.

Details

Title
Local adaptations of Mediterranean sheep and goats through an integrative approach
Author
Serranito Bruno 1 ; Cavalazzi Marco 2 ; Vidal, Pablo 3 ; Taurisson-Mouret Dominique 4 ; Ciani, Elena 5 ; Bal, Marie 2 ; Rouvellac Eric 2 ; Servin Bertrand 6 ; Moreno-Romieux, Carole 6 ; Tosser-Klopp Gwenola 6 ; Hall, Stephen J, G 7 ; Lenstra, Johannes A 8 ; Pompanon François 9 ; Benjelloun Badr 10 ; Da Silva Anne 11 

 Univ. Limoges, INRA, EA7500, USC1061 GAMAA, Limoges, France (GRID:grid.9966.0) (ISNI:0000 0001 2165 4861); Museum National d’Histoire Naturelle (MNHN), CRESCO, Dinard, France (GRID:grid.410350.3) (ISNI:0000 0001 2174 9334) 
 Univ. Limoges, GEOLAB, UMR 6042, Limoges, France (GRID:grid.9966.0) (ISNI:0000 0001 2165 4861) 
 Universidad Catolica de Valencia, Valencia, Spain (GRID:grid.440831.a) (ISNI:0000 0004 1804 6963) 
 Univ. Limoges, GEOLAB, UMR 6042, Limoges, France (GRID:grid.9966.0) (ISNI:0000 0001 2165 4861); Université de Montpellier, CNRS, UMR 5815, Dynamiques du droit, Montpellier, France (GRID:grid.121334.6) (ISNI:0000 0001 2097 0141) 
 University of Bari, Department of Biosciences, Biotechnologies and Biopharmaceutics, Bari, Italy (GRID:grid.7644.1) (ISNI:0000 0001 0120 3326) 
 Université de Toulouse, GenPhySE, INRAE, ENVT, Castanet-Tolosan, France (GRID:grid.508721.9) 
 Estonian University of Life Sciences, Tartu, Estonia (GRID:grid.16697.3f) (ISNI:0000 0001 0671 1127) 
 Utrecht University, Faculty of Veterinary Medicine, Utrecht, The Netherlands (GRID:grid.5477.1) (ISNI:0000000120346234) 
 Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Grenoble, France (GRID:grid.462909.0) (ISNI:0000 0004 0609 8934) 
10  Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Grenoble, France (GRID:grid.462909.0) (ISNI:0000 0004 0609 8934); National Institute of Agronomic Research (INRA), Regional Centre of Agronomic Research, Beni-Mellal, Morocco (GRID:grid.462909.0) 
11  Univ. Limoges, INRA, EA7500, USC1061 GAMAA, Limoges, France (GRID:grid.9966.0) (ISNI:0000 0001 2165 4861) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2590782114
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.