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A genome-wide scan for signatures of selection in Azeri and Khuzestani buffalo breeds

Overview of attention for article published in BMC Genomics, June 2018
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Title
A genome-wide scan for signatures of selection in Azeri and Khuzestani buffalo breeds
Published in
BMC Genomics, June 2018
DOI 10.1186/s12864-018-4759-x
Pubmed ID
Authors

Mahdi Mokhber, Mohammad Moradi-Shahrbabak, Mostafa Sadeghi, Hossein Moradi-Shahrbabak, Alessandra Stella, Ezequiel Nicolzzi, Javad Rahmaninia, John L. Williams

Abstract

Identification of genomic regions that have been targets of selection may shed light on the genetic history of livestock populations and help to identify variation controlling commercially important phenotypes. The Azeri and Kuzestani buffalos are the most common indigenous Iranian breeds which have been subjected to divergent selection and are well adapted to completely different regions. Examining the genetic structure of these populations may identify genomic regions associated with adaptation to the different environments and production goals. A set of 385 water buffalo samples from Azeri (N = 262) and Khuzestani (N = 123) breeds were genotyped using the Axiom® Buffalo Genotyping 90 K Array. The unbiased fixation index method (FST) was used to detect signatures of selection. In total, 13 regions with outlier FST values (0.1%) were identified. Annotation of these regions using the UMD3.1 Bos taurus Genome Assembly was performed to find putative candidate genes and QTLs within the selected regions. Putative candidate genes identified include FBXO9, NDFIP1, ACTR3, ARHGAP26, SERPINF2, BOLA-DRB3, BOLA-DQB, CLN8, and MYOM2. Candidate genes identified in regions potentially under selection were associated with physiological pathways including milk production, cytoskeleton organization, growth, metabolic function, apoptosis and domestication-related changes include immune and nervous system development. The QTL identified are involved in economically important traits in buffalo related to milk composition, udder structure, somatic cell count, meat quality, and carcass and body weight.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 25%
Student > Ph. D. Student 6 19%
Researcher 4 13%
Student > Bachelor 3 9%
Other 2 6%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 41%
Biochemistry, Genetics and Molecular Biology 5 16%
Veterinary Science and Veterinary Medicine 2 6%
Psychology 2 6%
Medicine and Dentistry 1 3%
Other 2 6%
Unknown 7 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 January 2021.
All research outputs
#14,161,872
of 18,430,950 outputs
Outputs from BMC Genomics
#6,694
of 9,584 outputs
Outputs of similar age
#199,346
of 285,629 outputs
Outputs of similar age from BMC Genomics
#9
of 14 outputs
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