Evidence map›Paper›PMID 37386416›Full record

ArticleGenetics, selection, evolution : GSE2023

Genetic markers associated with bone composition in Rhode Island Red laying hens.

Moh Sallam, Peter W Wilson, Björn Andersson, Matthias Schmutz, Cristina Benavides, Nazaret Dominguez-Gasca, Estefania Sanchez-Rodriguez, Alejandro B Rodriguez-Navarro, Ian C Dunn, Dirk-Jan De Koning and 1 more

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Article in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Moh SallamSwedish University of Agricultural Sciences, 75651, Uppsala, Sweden. mohammed.abdallah.sallam@slu.se.ORCID https://orcid.org/0000-0002-4485-7626
Peter W WilsonRoslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, Scotland, UK.
Björn AnderssonLohmann Breeders, 27472, Cuxhaven, Germany.
Matthias SchmutzLohmann Breeders, 27472, Cuxhaven, Germany.
Cristina BenavidesDepartamento de Mineralogia y Petrologia, Universidad de Granada, 18002, Granada, Spain.
Nazaret Dominguez-GascaDepartamento de Mineralogia y Petrologia, Universidad de Granada, 18002, Granada, Spain.
Estefania Sanchez-RodriguezDepartamento de Mineralogia y Petrologia, Universidad de Granada, 18002, Granada, Spain.
Alejandro B Rodriguez-NavarroDepartamento de Mineralogia y Petrologia, Universidad de Granada, 18002, Granada, Spain.
Ian C DunnRoslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, Scotland, UK.
Dirk-Jan De KoningSwedish University of Agricultural Sciences, 75651, Uppsala, Sweden.
Martin JohnssonSwedish University of Agricultural Sciences, 75651, Uppsala, Sweden.

Funding

ERANET grant BBSRC BB/M028291/1Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria 291815Svenska Forskningsrådet Formas 2014-01840Svenska Forskningsrådet Formas 2016-01386Svenska Forskningsrådet Formas 2019-02116
6 · The paper itself

Abstract

backgroundBone damage has welfare and economic impacts on modern commercial poultry and is known as one of the major challenges in the poultry industry. Bone damage is particularly common in laying hens and is probably due to the physiological link between bone and the egg laying process. Previous studies identified and validated quantitative trait loci (QTL) for bone strength in White Leghorn laying hens based on several measurements, including bone composition measurements on the cortex and medulla of the tibia bone. In a previous pedigree-based analysis, bone composition measurements showed heritabilities ranging from 0.18 to 0.41 and moderate to strong genetic correlations with tibia strength and density. Bone composition was measured using infrared spectroscopy and thermogravimetry. The aim of this study was to combine these bone composition measurements with genotyping data via a genome-wide association study (GWAS) to investigate genetic markers that contribute to genetic variance in bone composition in Rhode Island Red laying hens. In addition, we investigated the genetic correlations between bone composition and bone strength.

resultsWe found novel genetic markers that are significantly associated with cortical lipid, cortical mineral scattering, medullary organic matter, and medullary mineralization. Composition of the bone organic matter showed more significant associations than bone mineral composition. We also found interesting overlaps between the GWAS results for tibia composition traits, particularly for cortical lipid and tibia strength. Bone composition measurements by infrared spectroscopy showed more significant associations than thermogravimetry measurements. Based on the results of infrared spectroscopy, cortical lipid showed the highest genetic correlations with tibia density, which was negative (- 0.20 ± 0.04), followed by cortical CO3/PO4 (0.18 ± 0.04). Based on the results of thermogravimetry, medullary organic matter% and mineral% showed the highest genetic correlations with tibia density (- 0.25 ± 0.04 and 0.25 ± 0.04, respectively).

conclusionsThis study detected novel genetic associations for bone composition traits, particularly those involving organic matter, that could be used as a basis for further molecular genetic investigations. Tibia cortical lipids displayed the strongest genetic associations of all the composition measurements, including a significantly high genetic correlation with tibia density and strength. Our results also highlighted that cortical lipid may be a key measurement for further avian bone studies.

Indexed as

ChickensGenome-Wide Association StudyAnimalsFemaleGenetic MarkersLipidsRhode IslandGenetic MarkersLipids

Identifiers

PMID37386416
PMCPMC10311847

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.