↓ Skip to main content

Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL

Overview of attention for article published in BMC Genomics, April 2018
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
18 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
Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL
Published in
BMC Genomics, April 2018
DOI 10.1186/s12864-018-4690-1
Pubmed ID
Authors

Elisabeth Le Bihan-Duval, Christelle Hennequet-Antier, Cécile Berri, Stéphane A. Beauclercq, Marie Christine Bourin, Maryse Boulay, Olivier Demeure, Simon Boitard

Abstract

The understanding of the biological determinism of meat ultimate pH, which is strongly related to muscle glycogen content, is a key point for the control of muscle integrity and meat quality in poultry. In the present study, we took advantage of a unique model of two broiler lines divergently selected for the ultimate pH of the pectoralis major muscle (PM-pHu) in order to decipher the genetic control of this trait. Two complementary approaches were used: detection of selection signatures generated during the first five generations and genome-wide association study for PM-pHu and Sartorius muscle pHu (SART-pHu) at the sixth generation of selection. Sixty-three genomic regions showed significant signatures of positive selection. Out of the 10 most significant regions (detected by HapFLK or FLK method with a p-value below 1e-6), 4 were detected as soon as the first generation (G1) and were recovered at each of the four following ones (G2-G5). Another four corresponded to a later onset of selection as they were detected only at G5. In total, 33 SNPs, located in 24 QTL regions, were significantly associated with PM-pHu. For SART-pHu, we detected 18 SNPs located in 10 different regions. These results confirmed a polygenic determinism for these traits and highlighted two major QTL: one for PM-pHu on GGA1 (with a Bayes Factor (BF) of 300) and one for SART-pHu on GGA4 (with a BF of 257). Although selection signatures were enriched in QTL for PM-pHu, several QTL with strong effect haven't yet responded to selection, suggesting that the divergence between lines might be further increased. A few regions of major interest with significant selection signatures and/or strong association with PM-pHu or SART-pHu were evidenced for the first time in chicken. Their gene content suggests several candidates associated with diseases of glycogen storage in humans. The impact of these candidate genes on meat quality and muscle integrity should be further investigated in chicken.

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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Student > Master 4 22%
Researcher 3 17%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 56%
Biochemistry, Genetics and Molecular Biology 4 22%
Veterinary Science and Veterinary Medicine 1 6%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 1 6%

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 27 April 2018.
All research outputs
#10,266,663
of 12,861,409 outputs
Outputs from BMC Genomics
#5,851
of 7,557 outputs
Outputs of similar age
#203,702
of 270,039 outputs
Outputs of similar age from BMC Genomics
#12
of 21 outputs
Altmetric has tracked 12,861,409 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,557 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% 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 270,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.