It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 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)
2 Univ. Limoges, GEOLAB, UMR 6042, Limoges, France (GRID:grid.9966.0) (ISNI:0000 0001 2165 4861)
3 Universidad Catolica de Valencia, Valencia, Spain (GRID:grid.440831.a) (ISNI:0000 0004 1804 6963)
4 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)
5 University of Bari, Department of Biosciences, Biotechnologies and Biopharmaceutics, Bari, Italy (GRID:grid.7644.1) (ISNI:0000 0001 0120 3326)
6 Université de Toulouse, GenPhySE, INRAE, ENVT, Castanet-Tolosan, France (GRID:grid.508721.9)
7 Estonian University of Life Sciences, Tartu, Estonia (GRID:grid.16697.3f) (ISNI:0000 0001 0671 1127)
8 Utrecht University, Faculty of Veterinary Medicine, Utrecht, The Netherlands (GRID:grid.5477.1) (ISNI:0000000120346234)
9 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)