2024 : 12 : 27
Mohammad Hossein Moradi

Mohammad Hossein Moradi

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

Research

Title
Genome-wide scan for selective sweeps identifies novel loci associated with resistance to mastitis in German Holstein cattle
Type
JournalPaper
Keywords
German Holstein cattle, mastitis, selection signatures, XP-EHH statistic
Year
2022
Journal Journal of Animal Breeding and Genetics
DOI
Researchers bita abbasi ، Mohammad Hossein Moradi ، Tong Yin ، ghodratollah rahimi mianji ، Ardeshir Nejati Javaremi ، Sven König

Abstract

Domestication and selection significantly changed phenotypic and behavioral traits in modern domestic animals. In this study, to identify the genomic regions associated with mastitis, genomic data of German Holstein dairy cattle, were analyzed. The samples were genotyped using the Bovine 50K SNP chip. For each defined healthy and sick group, 133 samples from 13,276 genotyped dairy cows were selected based on mastitis random residual effects. Grouping was done to infer selection signatures based on XP-EHH statistic. The results revealed that for the top 0.01 percentile of the obtained XP-EHH values, five genomic regions on chromosomes 8, 11, 12, 14 and 26 of the control group, and four regions on chromosomes 3, 4 (2 regions) and 22 of the case group, have been under selection. Also, consideration of the top 0.1 percentile of the XP-EHH values, clarified 21 and 15 selective sweeps in the control and case group, respectively. This study identified some genomic regions containing potential candidate genes associated with resistance and susceptibility to mastitis, immune system and inflammation, milk traits, udder morphology and different types of cancers. In addition, these regions overlap with some quantitative trait loci (QTLs) linked to clinical mastitis, immunoglobulin levels, somatic cell score, udder traits, milk fat and protein, milk yield, milking speed and veterinary treatments. It is noteworthy that we found two regions in the healthy group (on chromosomes 12 and 14) with strong signals, which were not described previously. It is likely that future research could link these identified genomic regions to mastitis. The results of the current study contribute to the identification of causal mutations, genomic regions and genes affecting mastitis incidence in dairy cows.