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Dataset Information

Detection of candidate genes affecting milk production traits in sheep using whole-genome sequencing analysis.


ABSTRACT:

Background

Artificial and natural selection for important economic traits and genetic adaptation of the populations to specific environments have led to the changes on the sheep genome. Recent advances in genome sequencing methods have made it possible to use comparative genomics tools to identify genes under selection for traits of economic interest in domestic animals.

Objectives

In this study, we compared the genomes of Assaf and Awassi sheep breeds with those of the Cambridge, Romanov and British du cher sheep breeds to explore positive selection signatures for milk traits using nucleotide diversity (Pi) and FST statistical methods.

Methods

Genome sequences from fourteen sheep with a mean sequence depth of 9.32X per sample were analysed, and a total of 23 million

SUBMITTER: Rezvannejad E 

PROVIDER: S-EPMC9122411 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature