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Mendeley readers
Attention Score in Context
| Title |
Detection of quantitative trait loci for mineral content of Nelore longissimus dorsi muscle
|
|---|---|
| Published in |
Genetics Selection Evolution, March 2015
|
| DOI | 10.1186/s12711-014-0083-3 |
| Pubmed ID | |
| Authors |
Polyana C Tizioto, Jeremy F Taylor, Jared E Decker, Caio F Gromboni, Mauricio A Mudadu, Robert D Schnabel, Luiz L Coutinho, Gerson B Mourão, Priscila SN Oliveira, Marcela M Souza, James M Reecy, Renata T Nassu, Flavia A Bressani, Patricia Tholon, Tad S Sonstegard, Mauricio M Alencar, Rymer R Tullio, Ana RA Nogueira, Luciana CA Regitano |
| Abstract |
Beef cattle require dietary minerals for optimal health, production and reproduction. Concentrations of minerals in tissues are at least partly genetically determined. Mapping genomic regions that affect the mineral content of bovine longissimus dorsi muscle can contribute to the identification of genes that control mineral balance, transportation, absorption and excretion and that could be associated to metabolic disorders. We applied a genome-wide association strategy and genotyped 373 Nelore steers from 34 half-sib families with the Illumina BovineHD BeadChip. Genome-wide association analysis was performed for mineral content of longissimus dorsi muscle using a Bayesian approach implemented in the GenSel software. Muscle mineral content in Bos indicus cattle was moderately heritable, with estimates ranging from 0.29 to 0.36. Our results suggest that variation in mineral content is influenced by numerous small-effect QTL (quantitative trait loci) but a large-effect QTL that explained 6.5% of the additive genetic variance in iron content was detected at 72 Mb on bovine chromosome 12. Most of the candidate genes present in the QTL regions for mineral content were involved in signal transduction, signaling pathways via integral (also called intrinsic) membrane proteins, transcription regulation or metal ion binding. This study identified QTL and candidate genes that affect the mineral content of skeletal muscle. Our findings provide the first step towards understanding the molecular basis of mineral balance in bovine muscle and can also serve as a basis for the study of mineral balance in other organisms. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 18% |
| Student > Master | 7 | 16% |
| Researcher | 6 | 13% |
| Professor > Associate Professor | 4 | 9% |
| Other | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 36% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 15 | 33% |
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 17 April 2015.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Genetics Selection Evolution
#550
of 822 outputs
Outputs of similar age
#166,200
of 274,513 outputs
Outputs of similar age from Genetics Selection Evolution
#10
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.