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Relative extended haplotype homozygosity signals across breeds reveal dairy and beef specific signatures of selection

Overview of attention for article published in Genetics Selection Evolution, April 2015
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Title
Relative extended haplotype homozygosity signals across breeds reveal dairy and beef specific signatures of selection
Published in
Genetics Selection Evolution, April 2015
DOI 10.1186/s12711-015-0113-9
Pubmed ID
Authors

Lorenzo Bomba, Ezequiel L Nicolazzi, Marco Milanesi, Riccardo Negrini, Giordano Mancini, Filippo Biscarini, Alessandra Stella, Alessio Valentini, Paolo Ajmone-Marsan

Abstract

A number of methods are available to scan a genome for selection signatures by evaluating patterns of diversity within and between breeds. Among these, "extended haplotype homozygosity" (EHH) is a reliable approach to detect genome regions under recent selective pressure. The objective of this study was to use this approach to identify regions that are under recent positive selection and shared by the most representative Italian dairy and beef cattle breeds. A total of 3220 animals from Italian Holstein (2179), Italian Brown (775), Simmental (493), Marchigiana (485) and Piedmontese (379) breeds were genotyped with the Illumina BovineSNP50 BeadChip v.1. After standard quality control procedures, genotypes were phased and core haplotypes were identified. The decay of linkage disequilibrium (LD) for each core haplotype was assessed by measuring the EHH. Since accurate estimates of local recombination rates were not available, relative EHH (rEHH) was calculated for each core haplotype. Genomic regions that carry frequent core haplotypes and with significant rEHH values were considered as candidates for recent positive selection. Candidate regions were aligned across to identify signals shared by dairy or beef cattle breeds. Overall, 82 and 87 common regions were detected among dairy and beef cattle breeds, respectively. Bioinformatic analysis identified 244 and 232 genes in these common genomic regions. Gene annotation and pathway analysis showed that these genes are involved in molecular functions that are biologically related to milk or meat production. Our results suggest that a multi-breed approach can lead to the identification of genomic signatures in breeds of cattle that are selected for the same production goal and thus to the localisation of genomic regions of interest in dairy and beef production.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Researcher 13 17%
Student > Master 13 17%
Student > Doctoral Student 4 5%
Student > Postgraduate 3 4%
Other 7 9%
Unknown 17 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 47%
Biochemistry, Genetics and Molecular Biology 12 15%
Veterinary Science and Veterinary Medicine 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Nursing and Health Professions 1 1%
Other 1 1%
Unknown 22 28%
Attention Score in Context

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 08 April 2015.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Genetics Selection Evolution
#550
of 822 outputs
Outputs of similar age
#169,866
of 278,627 outputs
Outputs of similar age from Genetics Selection Evolution
#15
of 26 outputs
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So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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