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      Beyond the Big Five: Investigating Myostatin Structure, Polymorphism and Expression in Camelus dromedarius

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          Abstract

          Myostatin, a negative regulator of skeletal muscle mass in animals, has been shown to play a role in determining muscular hypertrophy in several livestock species, and a high degree of polymorphism has been previously reported for this gene in humans and cattle. In this study, we provide a characterization of the myostatin gene in the dromedary ( Camelus dromedarius) at the genomic, transcript and protein level. The gene was found to share high structural and sequence similarity with other mammals, notably Old World camelids. 3D modeling highlighted several non-conservative SNP variants compared to the bovine, as well as putative functional variants involved in the stability of the myostatin dimer. NGS data for nine dromedaries from various countries revealed 66 novel SNPs, all of them falling either upstream or downstream the coding region. The analysis also confirmed the presence of three previously described SNPs in intron 1, predicted here to alter both splicing and transcription factor binding sites (TFBS), thus possibly impacting myostatin processing and/or regulation. Several putative TFBS were identified in the myostatin upstream region, some of them belonging to the myogenic regulatory factor family. Patterns of SNP distribution across countries, as suggested by Bayesian clustering of the nine dromedaries using the 69 SNPs, pointed to weak geographic differentiation, in line with known recurrent gene flow at ancient trading centers along caravan routes. Myostatin expression was investigated in a set of 8 skeletal muscles, both at transcript and protein level, via Digital Droplet PCR and Western Blotting, respectively. No significant differences were observed at the transcript level, while, at the protein level, the only significant differences concerned the promyostatin dimer (75 kDa), in four pair-wise comparisons, all involving the tensor fasciae latae muscle. Beside the mentioned band at 75 kDa, additional bands were observed at around 40 and 25 kDa, corresponding to the promyostatin monomer and the active C-terminal myostatin dimer, respectively. Their weaker intensity suggests that the unprocessed myostatin dimers could act as important reservoirs of slowly available myostatin forms. Under this assumption, the sequential cleavage steps may contribute additional layers of control within an already complex regulatory framework.

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          NF-kappaB-induced loss of MyoD messenger RNA: possible role in muscle decay and cachexia.

          MyoD regulates skeletal muscle differentiation (SMD) and is essential for repair of damaged tissue. The transcription factor nuclear factor kappa B (NF-kappaB) is activated by the cytokine tumor necrosis factor (TNF), a mediator of skeletal muscle wasting in cachexia. Here, the role of NF-kappaB in cytokine-induced muscle degeneration was explored. In differentiating C2C12 myocytes, TNF-induced activation of NF-kappaB inhibited SMD by suppressing MyoD mRNA at the posttranscriptional level. In contrast, in differentiated myotubes, TNF plus interferon-gamma (IFN-gamma) signaling was required for NF-kappaB-dependent down-regulation of MyoD and dysfunction of skeletal myofibers. MyoD mRNA was also down-regulated by TNF and IFN-gamma expression in mouse muscle in vivo. These data elucidate a possible mechanism that may underlie the skeletal muscle decay in cachexia.
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            Deep intronic mutations and human disease.

            Next-generation sequencing has revolutionized clinical diagnostic testing. Yet, for a substantial proportion of patients, sequence information restricted to exons and exon-intron boundaries fails to identify the genetic cause of the disease. Here we review evidence from mRNA analysis and entire genomic sequencing indicating that pathogenic mutations can occur deep within the introns of over 75 disease-associated genes. Deleterious DNA variants located more than 100 base pairs away from exon-intron junctions most commonly lead to pseudo-exon inclusion due to activation of non-canonical splice sites or changes in splicing regulatory elements. Additionally, deep intronic mutations can disrupt transcription regulatory motifs and non-coding RNA genes. This review aims to highlight the importance of studying variation in deep intronic sequence as a cause of monogenic disorders as well as hereditary cancer syndromes.
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              MyoD is required for myogenic stem cell function in adult skeletal muscle.

              To investigate the function of MyoD in adult skeletal muscle, we interbred MyoD mutant mice with mdx mice, a model for Duchenne and Becker muscular dystrophy. Mice lacking both MyoD and dystrophin displayed a marked increase in severity of myopathy leading to premature death, suggesting a role for MyoD in muscle regeneration. Examination of MyoD mutant muscle revealed elevated numbers of myogenic cells; however, myoblasts derived from these cells displayed normal differentiation potential in vitro. Following injury, MyoD mutant muscle was severely deficient in regenerative ability, and we observed a striking reduction in the in vivo proliferation of myogenic cells during regeneration. Therefore, we propose that the failure of MyoD-deficient muscle to regenerate efficiently is not caused by a reduction in numbers of satellite cells, the stem cells of adult skeletal muscle, but results from an increased propensity for stem-cell self-renewal rather than progression through the myogenic program.
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                Author and article information

                Contributors
                Journal
                Front Genet
                Front Genet
                Front. Genet.
                Frontiers in Genetics
                Frontiers Media S.A.
                1664-8021
                07 June 2019
                2019
                : 10
                : 502
                Affiliations
                [1] 1Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari “Aldo Moro” , Bari, Italy
                [2] 2Research Institute of Wildlife Ecology, Vetmeduni , Vienna, Austria
                [3] 3Department of Biology, Duke University , Durham, NC, United States
                [4] 4CIRAD, UMR SELMET , Montpellier, France
                [5] 5Département Sciences du Vivant, Université de Limoges , Limoges, France
                Author notes

                Edited by: Edward Hollox, University of Leicester, United Kingdom

                Reviewed by: Kieran G. Meade, Teagasc, The Irish Agriculture and Food Development Authority, Ireland; René Massimiliano Marsano, University of Bari Aldo Moro, Italy

                *Correspondence: Lorenzo Guerra, lorenzo.guerra1@ 123456uniba.it

                This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Genetics

                Article
                10.3389/fgene.2019.00502
                6566074
                865a7504-808c-4831-aeb9-85887d4e3135
                Copyright © 2019 Favia, Fitak, Guerra, Pierri, Faye, Oulmouden, Burger and Ciani.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 30 January 2019
                : 07 May 2019
                Page count
                Figures: 5, Tables: 2, Equations: 0, References: 103, Pages: 17, Words: 0
                Categories
                Genetics
                Original Research

                Genetics
                camelus dromedarius,myostatin,skeletal muscle,single nucleotide polymorphisms,next generation sequencing,digital droplet pcr,western blot,3d protein comparative modeling

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