Autor: |
Seyed Mohammad Ghoreishifar, Susanne Eriksson, Anna M. Johansson, Majid Khansefid, Sima Moghaddaszadeh-Ahrabi, Nahid Parna, Pourya Davoudi, Arash Javanmard |
Jazyk: |
German<br />English<br />French |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-15 (2020) |
Druh dokumentu: |
article |
ISSN: |
1297-9686 |
DOI: |
10.1186/s12711-020-00571-5 |
Popis: |
Abstract Background Thousands of years of natural and artificial selection have resulted in indigenous cattle breeds that are well-adapted to the environmental challenges of their local habitat and thereby are considered as valuable genetic resources. Understanding the genetic background of such adaptation processes can help us design effective breeding objectives to preserve local breeds and improve commercial cattle. To identify regions under putative selection, GGP HD 150 K single nucleotide polymorphism (SNP) arrays were used to genotype 106 individuals representing five Swedish breeds i.e. native to different regions and covering areas with a subarctic cold climate in the north and mountainous west, to those with a continental climate in the more densely populated south regions. Results Five statistics were incorporated within a framework, known as de-correlated composite of multiple signals (DCMS) to detect signatures of selection. The obtained p-values were adjusted for multiple testing (FDR |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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