Genetic determinants for intramuscular fat content and water-holding capacity in mice selected for high muscle mass

Kärst, Stefan; Cheng, Riyan; Schmitt, Armin O.; Yang, Hyuna; Villena, Fernando Pardo Manuel de; Palmer, Abraham A.; Brockmann, Gudrun A.

doi:10.1007/s00335-011-9342-6

Cited by 31 publications

(20 citation statements)

References 63 publications

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“…The most significant SNP in this region was an intronic SNP within PDE1A. The PDE1A gene is involved in a pathway related to myofibroblast formation in smooth muscle in humans [55] while previous genome-wide studies in mice have identified the PPP1R1C gene as a possible candidate gene for muscle mass [56]. Overall, the allele frequencies of the favorable alleles in this 1-Mb region were similar in all five breeds, which support a breed-specific association with DHQ, DIT, TW, and WOW in LM rather than an imputation error.…”

Section: Other Candidate Genesmentioning

confidence: 98%

Genomic regions associated with muscularity in beef cattle differ in five contrasting cattle breeds

et al. 2020

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Background: Linear type traits, which reflect the muscular characteristics of an animal, could provide insight into how, in some cases, morphologically very different animals can yield the same carcass weight. Such variability may contribute to differences in the overall value of the carcass since primal cuts vary greatly in price; such variability may also hinder successful genome-based association studies. Therefore, the objective of our study was to identify genomic regions that are associated with five muscularity linear type traits and to determine if these significant regions are common across five different breeds. Analyses were carried out using linear mixed models on imputed whole-genome sequence data in each of the five breeds, separately. Then, the results of the within-breed analyses were used to conduct an across-breed meta-analysis per trait. Results:We identified many quantitative trait loci (QTL) that are located across the whole genome and associated with each trait in each breed. The only commonality among the breeds and traits was a large-effect pleiotropic QTL on BTA2 that contained the MSTN gene, which was associated with all traits in the Charolais and Limousin breeds. Other plausible candidate genes were identified for muscularity traits including PDE1A, PPP1R1C and multiple collagen and HOXD genes. In addition, associated (gene ontology) GO terms and KEGG pathways tended to differ between breeds and between traits especially in the numerically smaller populations of Angus, Hereford, and Simmental breeds. Most of the SNPs that were associated with any of the traits were intergenic or intronic SNPs located within regulatory regions of the genome. Conclusions:The commonality between the Charolais and Limousin breeds indicates that the genetic architecture of the muscularity traits may be similar in these breeds due to their similar origins. Conversely, there were vast differences in the QTL associated with muscularity in Angus, Hereford, and Simmental. Knowledge of these differences in genetic architecture between breeds is useful to develop accurate genomic prediction equations that can operate effectively across breeds. Overall, the associated QTL differed according to trait, which suggests that breeding for a morphologically different (e.g. longer and wider versus shorter and smaller) more efficient animal may become possible in the future. © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article' s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article'

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Section: Other Candidate Genesmentioning

confidence: 98%

Genomic regions associated with muscularity in beef cattle differ in five contrasting cattle breeds

et al. 2020

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“…The selection history of BMM has been described previously [28]. We used the BMMI806 and BMMI816 lines, which are hyper-muscular but do not carry the Mstn Cmptdl1Abc mutation.…”

Section: Methodsmentioning

confidence: 99%

Genomic imprinting and genetic effects on muscle traits in mice

et al. 2012

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BackgroundGenomic imprinting refers to parent-of-origin dependent gene expression caused by differential DNA methylation of the paternally and maternally derived alleles. Imprinting is increasingly recognized as an important source of variation in complex traits, however, its role in explaining variation in muscle and physiological traits, especially those of commercial value, is largely unknown compared with genetic effects.ResultsWe investigated both genetic and genomic imprinting effects on key muscle traits in mice from the Berlin Muscle Mouse population, a key model system to study muscle traits. Using a genome scan, we first identified loci with either imprinting or genetic effects on phenotypic variation. Next, we established the proportion of phenotypic variation explained by additive, dominance and imprinted QTL and characterized the patterns of effects. In total, we identified nine QTL, two of which show large imprinting effects on glycogen content and potential, and body weight. Surprisingly, all imprinting patterns were of the bipolar type, in which the two heterozygotes are different from each other but the homozygotes are not. Most QTL had pleiotropic effects and explained up to 40% of phenotypic variance, with individual imprinted loci accounting for 4-5% of variation alone.ConclusionSurprisingly, variation in glycogen content and potential was only modulated by imprinting effects. Further, in contrast to general assumptions, our results show that genomic imprinting can impact physiological traits measured at adult stages and that the expression does not have to follow the patterns of paternal or maternal expression commonly ascribed to imprinting effects.

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“…Genome scans have identified a large number of QTL affecting these traits in pigs. Accordingly, genes, which encode key enzymes or key regulators in lipid and energy metabolism located within relevant QTL regions, are logical choices in the candidate gene analysis for these traits (Chadt et al 2008;Lin 2009;Kärst et al 2011).…”

Section: Intramuscular Fat (Imf)mentioning

confidence: 99%

Influence of Glycolysis Process on the Formation of Meat Quality Parameters

Woźniak¹,

Korpal²,

Terman³

2017

Folia Pomer. Univ. Technol. Stetin., Agric., Aliment., Pisc., Z

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Streszczenie. Postępujący rozwój technologii produkcji mięsa wieprzowego musi uwzględniać zmieniające się upodobania konsumentów, którzy obecnie przykładają ogromną wagę do jakości surowca. Jakość mięsa nie jest prosta do zdefiniowania, charakteryzuje ją wiele parametrów fizykochemicznych i sensorycznych. Cechą mającą pozytywny wpływ na te parametry jest zawartość tłuszczu śródmięśniowego (IMF). Zawartość IMF wpływa na metabolizm glukozy, a tym samym jest nierozerwalnie związana ze szlakiem glikolitycznym. Pierwszy etap glikolizy katalizowany jest przez enzym heksokinazę, która uczestniczy w nieodwracalnej reakcji fosforylacji glukozy. Jedną z izoform heksokinazy, występującą m.in. w mięśniach szkieletowych oraz tkance mięśniowej, jest heksokinaza 2 (HK2). Ze względu na rolę HK2, jako wiodącego enzymu glikolitycznego w tkankach wrażliwych na insulinę, polimorfizmy genu kodującego to białko mogą mieć wpływ na jego funkcjonowanie. W związku z tym gen HK2 został wybrany jako gen kandydat dla cech jakości wieprzowiny.

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Genetic determinants for intramuscular fat content and water-holding capacity in mice selected for high muscle mass

Cited by 31 publications

References 63 publications

Genomic regions associated with muscularity in beef cattle differ in five contrasting cattle breeds

Genomic regions associated with muscularity in beef cattle differ in five contrasting cattle breeds

Genomic imprinting and genetic effects on muscle traits in mice

Influence of Glycolysis Process on the Formation of Meat Quality Parameters

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