scholarly journals Genetic variation and population structure of Italian native sheep breeds undergoing in situ conservation1

2009 ◽  
Vol 87 (12) ◽  
pp. 3837-3844 ◽  
Author(s):  
C. Dalvit ◽  
M. De Marchi ◽  
E. Zanetti ◽  
M. Cassandro
1990 ◽  
Vol 21 (1) ◽  
pp. 87-92 ◽  
Author(s):  
M. ZANOTTI CASATI ◽  
G. C. GANDINI ◽  
P. LEONE

Genes ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 494
Author(s):  
Adam Abied ◽  
Alnoor Bagadi ◽  
Farhad Bordbar ◽  
Yabin Pu ◽  
Serafino M.A. Augustino ◽  
...  

Through long term natural and artificial selection, domestic sheep (Ovis aries) have become adapted to a diverse range of agro-ecological environments and display multiple phenotypic traits. Characterization of diversity and selection signature is essential for genetic improvement, understanding of environmental adaptation, as well as utilization and conservation of sheep genetic resources. Here, we aimed to assess genomic diversity, population structure, and genomic selection among five Chinese native sheep breeds using 600K high density SNP genotypes. A total of 96 animals of the five breeds were selected from different geographical locations with extremely dry or humid conditions. We found a high proportion of informative SNPs, ranging from 93.3% in Yabuyi to 95.5% in Wadi, Hu, and Hetian sheep. The average pairwise population differentiation (FST) between the breeds was 0.048%, ranging from 0.022% to 0.054%, indicating their low to moderate differentiation. PCA, ADMIXTURE, and phylogenetic tree analyses revealed a clustering pattern of the five Chinese sheep breeds according to their geographical distribution, tail type, coat color, body size, and breeding history. The genomic regions under putative selection identified by FST and XP-EHH approaches frequently overlapped across the breeds, and spanned genes associated with adaptation to extremely dry or humid environments, innate and adaptive immune responses, and growth, wool, milk, and reproduction traits. The present study offers novel insight into genomic adaptation to dry and humid climates in sheep among other domestic animals and provides a valuable resource for further investigation. Moreover, it contributes useful information to sustainable utilization and conservation of sheep genetic resources.


2019 ◽  
Vol 4 (1) ◽  
pp. 47
Author(s):  
Zeleke Tesema ◽  
Abiy Shenkute

Conservation of native animal genetic resource is vital to maintain genetic diversity sustainably and to cope with the future challenging climate change. Thus, the aim of this paper was to review the experience of sheep conservation practice in Turkey and future prospects in Ethiopia. In turkey, fifteen sheep types are extinct and other native sheep population decreased by 47% due to an unplanned crossbreeding program. For these reasons, sheep genetic resource ex-situ in vivo conservation project started in 1995 with three sheep breeds. The animal breeding law regarding registration of new breed and conservation of animal genetic resources was enacted in 2001 in Turkey. In-situ conservation subsidies of sheep breeds near to extinction have been continued since 2005. Following these events, in vitro conservation of germplasm of 13 sheep breeds have been initiated in 2007 and two gene banks have been established and thereby sperm, embryo, cell, and DNA of from each sheep breed conserved in the gene bank. Although they were successful in both in-situ and ex-situ conservations with some limitations, in-situ conserved sheep breeds had better productivity than ex-situ in vivo conserved sheep in Turkey. In the case of Ethiopia, in-situ conservation will be compatible with the existing infrastructure. Through balancing the genetic gain and inbreeding level, it is possible to integrate the existing community-based genetic improvement programs (with in breed selection) with sustainable in-situ conservation of native sheep genetic resources in Ethiopia.


2011 ◽  
Vol 96 (2-3) ◽  
pp. 111-119 ◽  
Author(s):  
Emiliano Lasagna ◽  
Matteo Bianchi ◽  
Simone Ceccobelli ◽  
Vincenzo Landi ◽  
Amparo Martínez Martínez ◽  
...  

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