Literature DB >> 28455310

Exercise-induced modification of the skeletal muscle transcriptome in Arabian horses.

Katarzyna Ropka-Molik1, Monika Stefaniuk-Szmukier2, Kacper Z Ukowski3, Katarzyna Piórkowska4, Monika Bugno-Poniewierska4.   

Abstract

It has been found that Arabian and Thoroughbred horses differ in muscle fiber structure and thus in physiological changes occurring in muscles during exercise. The aim of the present study was to identify the global gene expression modifications that occur in skeletal muscle following a training regime to prepare for flat racing. Whole transcriptomes of muscle (gluteus medius) were compared between three time points of tissue collection: T0 (untrained horses), T1 (horses after intense gallop phase), and T2 (horses at the end of racing season), 23 samples in total. The numerous groups of exercise-regulated differentially expressed genes (DEGs) were related to muscle cell structure and signaling and included insulin-like growth factor 1 receptor (IGF1R), insulin receptor (INSR), transforming growth factor beta receptors 1 and 2 (TGFBR1, TGFBR2), vascular endothelial growth factor B (VEGFB); epidermal growth factor (EGF), hepatocyte growth factor (HGF), and vascular endothelial growth factor D (FIGF). In Arabian horses, exercise modified the expression of genes belonging to the PPAR signaling pathway (e.g., PPARA, PPARD, and PLIN2), calcium signaling pathway, and pathways associated with metabolic processes (e.g., oxidative phosphorylation, fatty acid metabolism, glycolysis/gluconeogenesis, and citrate cycle). According to detected gene expression modifications, our results suggested that in Arabian horses, exercise switches energy generation toward fatty acid utilization and enhances glycogen transport and calcium signaling. The use of the RNA-Seq approach in analyzing the skeletal muscle transcriptome allowed for the proposal of a panel of new candidate genes potentially related to body homeostasis maintenance and racing performance in Arabian horses.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  Arabian horse; RNA-Seq; exercise adaptation; genetic markers; muscle tissue; training

Mesh:

Substances:

Year:  2017        PMID: 28455310     DOI: 10.1152/physiolgenomics.00130.2016

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


  9 in total

1.  A genome-wide scan for diversifying selection signatures in selected horse breeds.

Authors:  Artur Gurgul; Igor Jasielczuk; Ewelina Semik-Gurgul; Klaudia Pawlina-Tyszko; Monika Stefaniuk-Szmukier; Tomasz Szmatoła; Grażyna Polak; Iwona Tomczyk-Wrona; Monika Bugno-Poniewierska
Journal:  PLoS One       Date:  2019-01-30       Impact factor: 3.240

2.  The use of the SLC16A1 gene as a potential marker to predict race performance in Arabian horses.

Authors:  Katarzyna Ropka-Molik; Monika Stefaniuk-Szmukier; Tomasz Szmatoła; Katarzyna Piórkowska; Monika Bugno-Poniewierska
Journal:  BMC Genet       Date:  2019-09-11       Impact factor: 2.797

3.  The Blood and Muscle Expression Pattern of the Equine TCAP Gene during the Race Track Training of Arabian Horses.

Authors:  Monika Stefaniuk-Szmukier; Tomasz Szmatoła; Joanna Łątka; Bogusława Długosz; Katarzyna Ropka-Molik
Journal:  Animals (Basel)       Date:  2019-08-18       Impact factor: 2.752

Review 4.  The Genetics of Racing Performance in Arabian Horses.

Authors:  K Ropka-Molik; M Stefaniuk-Szmukier; A D Musiał; B D Velie
Journal:  Int J Genomics       Date:  2019-09-02       Impact factor: 2.326

5.  Cardiac ion channel expression in the equine model - In-silico prediction utilising RNA sequencing data from mixed tissue samples.

Authors:  Antoine Premont; Khalil Saadeh; Charlotte Edling; Rebecca Lewis; Celia M Marr; Kamalan Jeevaratnam
Journal:  Physiol Rep       Date:  2022-07

6.  Discovery of exercise-related genes and pathway analysis based on comparative genomes of Mongolian originated Abaga and Wushen horse.

Authors:  Jing Pan; Chimge Purev; Hongwei Zhao; Zhipeng Zhang; Feng Wang; Nashun Wendoule; Guichun Qi; Yongbin Liu; Huanmin Zhou
Journal:  Open Life Sci       Date:  2022-09-26       Impact factor: 1.311

7.  Molecular characterization of the apoptosis-related SH3RF1 and SH3RF2 genes and their association with exercise performance in Arabian horses.

Authors:  K Ropka-Molik; M Stefaniuk-Szmukier; K Piórkowska; T Szmatoła; M Bugno-Poniewierska
Journal:  BMC Vet Res       Date:  2018-08-14       Impact factor: 2.741

8.  Proteome and transcriptome profiling of equine myofibrillar myopathy identifies diminished peroxiredoxin 6 and altered cysteine metabolic pathways.

Authors:  Stephanie J Valberg; Sudeep Perumbakkam; Erica C McKenzie; Carrie J Finno
Journal:  Physiol Genomics       Date:  2018-10-05       Impact factor: 3.107

9.  Gene Expression Profile in Similar Tissues Using Transcriptome Sequencing Data of Whole-Body Horse Skeletal Muscle.

Authors:  Ho-Yeon Lee; Jae-Yoon Kim; Kyoung Hyoun Kim; Seongmun Jeong; Youngbum Cho; Namshin Kim
Journal:  Genes (Basel)       Date:  2020-11-17       Impact factor: 4.096

  9 in total

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