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Mohammad Hossein Moradi

Mohammad Hossein Moradi

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0001-5877-0866
Education: PhD.
ScopusId: 7004477102
Faculty: Agriculture and Environment
Address: Arak University
Phone:

Research

Title
Detecting selection signatures in three Iranian sheep breeds
Type
JournalPaper
Keywords
candidate regions, FST, selective sweeps, XP-EHH
Year
2019
Journal Animal Genetics
DOI
Researchers Zeinab Manzari ، H Mehrabani Yeganeh ، Ardeshir Nejati Javaremi ، Mohammad Hossein Moradi ، Mohsen Gholizadeh

Abstract

The objective of genome mapping is to achieve valuable insight into the connection between gene variants (genotype) and observed traits (phenotype). Part of that objective is to understand the selective forces that have operated on a population. Finding links between genotype–phenotype changes makes it possible to identify selective sweeps by patterns of genetic variation and linkage disequilibrium. Based on Illumina 50KSNP chip data, two approaches, XP-EHH (cross-population extend haplotype homozygosity) and FST (fixation index), were carried out in this research to identify selective sweeps in the genome of three Iranian local sheep breeds: Baluchi (n = 86), Lori-Bakhtiari (n = 45) and Zel (n = 45). Using both methods, 93 candidate genomic regions were identified as harboring putative selective sweeps. Bioinformatics analysis of the genomic regions showed that signatures of selection related to multiple candidate genes, such as HOXB9, HOXB13, ACAN, NPR2, TRIL, AOX1, CSF2, GHR, TNS2, SPAG8, HINT2, ALS2, AAAS, RARG, SYCP2, CAV1, PPP1R3D, PLA2G7, TTLL7 and C20orf10, that play a role in skeletal system and tail, sugar and energy metabolisms, growth, reproduction, immune and nervous system traits. Our findings indicated diverse genomic selection during the domestication of Iranian sheep breeds.