Literature DB >> 23964023

Genetic and genomic analyses of musculoskeletal differences between BEH and BEL strains.

Arimantas Lionikas1, Audrius Kilikevicius, Lutz Bünger, Caroline Meharg, Andrew M Carroll, Aivaras Ratkevicius, Tomas Venckunas, David A Blizard.   

Abstract

Berlin high (BEH) and Berlin low (BEL) strains selected for divergent growth differ threefold in body weight. We aimed at examining muscle mass, which is a major contributor to body weight, by exploring morphological characteristics of the soleus muscle (fiber number and cross sectional area; CSA), by analyzing the transcriptome of the gastrocnemius and by initiating quantitative trait locus (QTL) mapping. BEH muscles were four to eight times larger than those of BEL. In substrain BEH+/+, mutant myostatin was replaced with a wild-type allele; however, BEH+/+muscles still were two to four times larger compared with BEL. BEH soleus muscle fibers were two times more numerous (P < 0.0001) and CSA was two times larger (P < 0.0001) compared with BEL. In addition, soleus femoral attachment anomaly (SFAA) was observed in all BEL mice. One significant (Chr 1) and four suggestive (Chr 3, 4, 6, and 9) muscle weight QTLs were mapped in a 21-day-old F2 intercross (n = 296) between BEH and BEL strains. The frequency of SFAA incidence in the F2 and in the backcross to BEL strain (BCL) suggested the presence of more than one causative gene. Two suggestive SFAA QTLs were mapped in BCL; however, their peak markers were not associated with the phenotype in F2. RNA-Seq analysis revealed 2,148 differentially expressed (P < 0.1) genes and 45,673 single nucleotide polymorphisms and >2,000 indels between BEH+/+ and BEL males. In conclusion, contrasting muscle traits and genomic and gene expression differences between BEH and BEL strains provide a promising model for the search for genes involved in muscle growth and musculoskeletal morphogenesis.

Entities:  

Keywords:  QTL mapping; skeletal muscle; transcriptome

Mesh:

Year:  2013        PMID: 23964023      PMCID: PMC3798766          DOI: 10.1152/physiolgenomics.00109.2013

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  37 in total

1.  Genetic architecture of fast- and slow-twitch skeletal muscle weight in 200-day-old mice of the C57BL/6J and DBA/2J lineage.

Authors:  A Lionikas; D A Blizard; D J Vandenbergh; M G Glover; J T Stout; G P Vogler; G E McClearn; L Larsson
Journal:  Physiol Genomics       Date:  2003-12-16       Impact factor: 3.107

2.  Changes in rodent muscle fibre types during post-natal growth, undernutrition and exercise.

Authors:  G Goldspink; P S Ward
Journal:  J Physiol       Date:  1979-11       Impact factor: 5.182

3.  Three "myosin adenosine triphosphatase" systems: the nature of their pH lability and sulfhydryl dependence.

Authors:  M H Brooke; K K Kaiser
Journal:  J Histochem Cytochem       Date:  1970-09       Impact factor: 2.479

4.  The effect of varying postnatal growth rate on skeletal muscle fiber number in the mouse.

Authors:  B F Timson
Journal:  Growth       Date:  1982

5.  Lack of myostatin results in excessive muscle growth but impaired force generation.

Authors:  Helge Amthor; Raymond Macharia; Roberto Navarrete; Markus Schuelke; Susan C Brown; Anthony Otto; Thomas Voit; Francesco Muntoni; Gerta Vrbóva; Terence Partridge; Peter Zammit; Lutz Bunger; Ketan Patel
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-31       Impact factor: 11.205

6.  Dynamics of muscle fibre growth during postnatal mouse development.

Authors:  Robert B White; Anne-Sophie Biérinx; Viola F Gnocchi; Peter S Zammit
Journal:  BMC Dev Biol       Date:  2010-02-22       Impact factor: 1.978

7.  Quantitative analysis of neonatal skeletal muscle functional improvement in the mouse.

Authors:  David S Gokhin; Samuel R Ward; Shannon N Bremner; Richard L Lieber
Journal:  J Exp Biol       Date:  2008-03       Impact factor: 3.312

8.  Anomaly of anatomical origin of soleus muscle: a mouse model.

Authors:  Arimantas Lionikas; Marcus G Glover; Fushun Yu; Lars Larsson; George P Vogler; Gerald E McClearn; David A Blizard
Journal:  Anat Sci Int       Date:  2006-03       Impact factor: 1.741

9.  Genomic imprinting and genetic effects on muscle traits in mice.

Authors:  Stefan Kärst; Ali R Vahdati; Gudrun A Brockmann; Reinmar Hager
Journal:  BMC Genomics       Date:  2012-08-20       Impact factor: 3.969

10.  TopHat: discovering splice junctions with RNA-Seq.

Authors:  Cole Trapnell; Lior Pachter; Steven L Salzberg
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

View more
  3 in total

1.  Discovery and refinement of muscle weight QTLs in B6 × D2 advanced intercross mice.

Authors:  P Carbonetto; R Cheng; J P Gyekis; C C Parker; D A Blizard; A A Palmer; A Lionikas
Journal:  Physiol Genomics       Date:  2014-06-24       Impact factor: 3.107

2.  Baseline Muscle Mass Is a Poor Predictor of Functional Overload-Induced Gain in the Mouse Model.

Authors:  Audrius Kilikevicius; Lutz Bunger; Arimantas Lionikas
Journal:  Front Physiol       Date:  2016-11-15       Impact factor: 4.566

3.  Myostatin dysfunction does not protect from fasting-induced loss of muscle mass in mice.

Authors:  Andrej Fokin; Petras Minderis; Tomas Venckunas; Arimantas Lionikas; Mindaugas Kvedaras; Aivaras Ratkevicius
Journal:  J Musculoskelet Neuronal Interact       Date:  2019-09-01       Impact factor: 2.041

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.