↓ Skip to main content

Quantitative Trait Locus and Genetical Genomics Analysis Identifies Putatively Causal Genes for Fecundity and Brooding in the Chicken

Overview of attention for article published in G3: Genes, Genomes, Genetics, February 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Quantitative Trait Locus and Genetical Genomics Analysis Identifies Putatively Causal Genes for Fecundity and Brooding in the Chicken
Published in
G3: Genes, Genomes, Genetics, February 2016
DOI 10.1534/g3.115.024299
Pubmed ID
Authors

Martin Johnsson, Kenneth B. Jonsson, Leif Andersson, Per Jensen, Dominic Wright

Abstract

Life history traits such as fecundity are important to evolution, because they make up components of lifetime fitness. Due to their polygenic architectures, they are difficult to investigate with genetic mapping. Therefore, little is known about their molecular basis. One possible way towards finding the underlying genes is to map intermediary molecular phenotypes, such as gene expression traits. We set out to map candidate quantitative trait genes for egg fecundity in the chicken by combining quantitative trait locus mapping in an advanced intercross of wild by domestic chickens with expression quantitative trait locus mapping in the same birds. We measured individual egg fecundity in 232 intercross chickens in two consecutive trials, the second one aimed at measuring brooding. We find 12 loci for different aspects of egg fecundity. We then combine the genomic confidence intervals of these loci with expression quantitative trait loci from bone and hypothalamus in the same intercross. Overlaps between egg loci and expression loci, and trait-gene expression correlations identify 29 candidates from bone and five from hypothalamus. The candidate quantitative trait genes include fibroblast growth factor 1 and mitochondrial ribosomal proteins L42 and L32. In summary, we find putative quantitative trait genes for egg traits in the chicken that have may have been affected by regulatory variants under chicken domestication. These represent, to the best of our knowledge, some of the first candidate genes identified by genome-wide mapping for life history traits in an avian species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Student > Bachelor 5 15%
Researcher 5 15%
Student > Ph. D. Student 4 12%
Student > Doctoral Student 3 9%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 47%
Biochemistry, Genetics and Molecular Biology 10 29%
Veterinary Science and Veterinary Medicine 2 6%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 December 2015.
All research outputs
#13,101,117
of 22,834,308 outputs
Outputs from G3: Genes, Genomes, Genetics
#1,778
of 3,154 outputs
Outputs of similar age
#184,401
of 397,392 outputs
Outputs of similar age from G3: Genes, Genomes, Genetics
#55
of 71 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.