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Developmental programming of mitochondrial substrate metabolism in skeletal muscle of adult sheep by cortisol exposure before birth. J Dev Orig Health Dis 2023; 14:77-87. [PMID: 35822505 DOI: 10.1017/s204017442200040x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Prenatal glucocorticoid overexposure causes adult metabolic dysfunction in several species but its effects on adult mitochondrial function remain largely unknown. Using respirometry, this study examined mitochondrial substrate metabolism of fetal and adult ovine biceps femoris (BF) and semitendinosus (ST) muscles after cortisol infusion before birth. Physiological increases in fetal cortisol concentrations pre-term induced muscle- and substrate-specific changes in mitochondrial oxidative phosphorylation capacity in adulthood. These changes were accompanied by muscle-specific alterations in protein content, fibre composition and abundance of the mitochondrial electron transfer system (ETS) complexes. In adult ST, respiration using palmitoyl-carnitine and malate was increased after fetal cortisol treatment but not with other substrate combinations. There were also significant increases in protein content and reductions in the abundance of all four ETS complexes, but not ATP synthase, in the ST of adults receiving cortisol prenatally. In adult BF, intrauterine cortisol treatment had no effect on protein content, respiratory rates, ETS complex abundances or ATP synthase. Activity of citrate synthase, a marker of mitochondrial content, was unaffected by intrauterine treatment in both adult muscles. In the ST but not BF, respiratory rates using all substrate combinations were significantly lower in the adults than fetuses, predominantly in the saline-infused controls. The ontogenic and cortisol-induced changes in mitochondrial function were, therefore, more pronounced in the ST than BF muscle. Collectively, the results show that fetal cortisol overexposure programmes mitochondrial substrate metabolism in specific adult muscles with potential consequences for adult metabolism and energetics.
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Mohajeri K, Yadav R, D'haene E, Boone PM, Erdin S, Gao D, Moyses-Oliveira M, Bhavsar R, Currall BB, O'Keefe K, Burt ND, Lowther C, Lucente D, Salani M, Larson M, Redin C, Dudchenko O, Aiden EL, Menten B, Tai DJC, Gusella JF, Vergult S, Talkowski ME. Transcriptional and functional consequences of alterations to MEF2C and its topological organization in neuronal models. Am J Hum Genet 2022; 109:2049-2067. [PMID: 36283406 PMCID: PMC9674968 DOI: 10.1016/j.ajhg.2022.09.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 09/29/2022] [Indexed: 01/26/2023] Open
Abstract
Point mutations and structural variants that directly disrupt the coding sequence of MEF2C have been associated with a spectrum of neurodevelopmental disorders (NDDs). However, the impact of MEF2C haploinsufficiency on neurodevelopmental pathways and synaptic processes is not well understood, nor are the complex mechanisms that govern its regulation. To explore the functional changes associated with structural variants that alter MEF2C expression and/or regulation, we generated an allelic series of 204 isogenic human induced pluripotent stem cell (hiPSC)-derived neural stem cells and glutamatergic induced neurons. These neuronal models harbored CRISPR-engineered mutations that involved direct deletion of MEF2C or deletion of the boundary points for topologically associating domains (TADs) and chromatin loops encompassing MEF2C. Systematic profiling of mutation-specific alterations, contrasted to unedited controls that were exposed to the same guide RNAs for each edit, revealed that deletion of MEF2C caused differential expression of genes associated with neurodevelopmental pathways and synaptic function. We also discovered significant reduction in synaptic activity measured by multielectrode arrays (MEAs) in neuronal cells. By contrast, we observed robust buffering against MEF2C regulatory disruption following deletion of a distal 5q14.3 TAD and loop boundary, whereas homozygous loss of a proximal loop boundary resulted in down-regulation of MEF2C expression and reduced electrophysiological activity on MEA that was comparable to direct gene disruption. Collectively, these studies highlight the considerable functional impact of MEF2C deletion in neuronal cells and systematically characterize the complex interactions that challenge a priori predictions of regulatory consequences from structural variants that disrupt three-dimensional genome organization.
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Affiliation(s)
- Kiana Mohajeri
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Rachita Yadav
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Eva D'haene
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Philip M Boone
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Serkan Erdin
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dadi Gao
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Mariana Moyses-Oliveira
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Riya Bhavsar
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin B Currall
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kathryn O'Keefe
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nicholas D Burt
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Chelsea Lowther
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Diane Lucente
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Monica Salani
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mathew Larson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Claire Redin
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Center for Theoretical Biological Physics and Department of Computer Science, Rice University, Houston, TX, USA
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Center for Theoretical Biological Physics and Department of Computer Science, Rice University, Houston, TX, USA; UWA School of Agriculture and Environment, The University of Western Australia, Crawley, WA 6009, Australia; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech, Pudong, China
| | - Björn Menten
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Derek J C Tai
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - James F Gusella
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Sarah Vergult
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Michael E Talkowski
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA.
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Arora R, Siddaraju NK, Manjunatha SS, Sudarshan S, Fairoze MN, Kumar A, Chhabra P, Kaur M, Sreesujatha RM, Ahlawat S, Vijh RK. Muscle transcriptome provides the first insight into the dynamics of gene expression with progression of age in sheep. Sci Rep 2021; 11:22360. [PMID: 34785720 PMCID: PMC8595721 DOI: 10.1038/s41598-021-01848-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 11/02/2021] [Indexed: 01/13/2023] Open
Abstract
The dynamic synergy of genes and pathways in muscles in relation to age affects the muscle characteristics. Investigating the temporal changes in gene expression will help illustrate the molecular mechanisms underlying muscle development. Here we report the gene expression changes in skeletal muscles through successive age groups in Bandur, a meat type sheep of India. RNA sequencing data was generated from the longissimus thoracis muscles from four age groups, ranging from lamb to adult. Analysis of 20 highest expressed genes common across the groups revealed muscle protein, phosphorylation, acetylation, metal binding and transport as significant functions. Maximum differentiation was observed after 2.5–3 years on transition from lambs to adult. Transcriptional regulation by the TFAP2 transcription factors, IL-6 signaling and PI3K/AKT signaling pathways were enriched in younger animals. The gene-protein network demarcated key interactive genes involved in muscle development and proliferation that can be used as candidates for future research on improvement of muscle characteristics.
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Affiliation(s)
- Reena Arora
- Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, G T Road By-Pass, P O Box 129, Karnal, 132001, Haryana, India.
| | | | - S S Manjunatha
- Karnataka Veterinary Animal and Fisheries Sciences University, Bangalore, 560024, India
| | - S Sudarshan
- Karnataka Veterinary Animal and Fisheries Sciences University, Bangalore, 560024, India
| | | | - Ashish Kumar
- Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, G T Road By-Pass, P O Box 129, Karnal, 132001, Haryana, India
| | - Pooja Chhabra
- Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, G T Road By-Pass, P O Box 129, Karnal, 132001, Haryana, India
| | - Mandeep Kaur
- Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, G T Road By-Pass, P O Box 129, Karnal, 132001, Haryana, India
| | - R M Sreesujatha
- Karnataka Veterinary Animal and Fisheries Sciences University, Bangalore, 560024, India
| | - Sonika Ahlawat
- Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, G T Road By-Pass, P O Box 129, Karnal, 132001, Haryana, India
| | - Ramesh Kumar Vijh
- Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, G T Road By-Pass, P O Box 129, Karnal, 132001, Haryana, India
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Davies KL, Camm EJ, Smith DJ, Vaughan OR, Forhead AJ, Murray AJ, Fowden AL. Glucocorticoid maturation of mitochondrial respiratory capacity in skeletal muscle before birth. J Endocrinol 2021; 251:53-68. [PMID: 34321363 PMCID: PMC8428072 DOI: 10.1530/joe-21-0171] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 07/27/2021] [Indexed: 01/01/2023]
Abstract
In adults, glucocorticoids act to match the supply and demand for energy during physiological challenges, partly through actions on tissue mitochondrial oxidative phosphorylation (OXPHOS) capacity. However, little is known about the role of the natural prepartum rise in fetal glucocorticoid concentrations in preparing tissues for the increased postnatal energy demands. This study examined the effect of manipulating cortisol concentrations in fetal sheep during late gestation on mitochondrial OXPHOS capacity of two skeletal muscles with different postnatal locomotive functions. Mitochondrial content, biogenesis markers, respiratory rates and expression of proteins and genes involved in the electron transfer system (ETS) and OXPHOS efficiency were measured in the biceps femoris (BF) and superficial digital flexor (SDF) of fetuses either infused with cortisol before the prepartum rise or adrenalectomised to prevent this increment. Cortisol infusion increased mitochondrial content, biogenesis markers, substrate-specific respiration rates and abundance of ETS complex I and adenine nucleotide translocator (ANT1) in a muscle-specific manner that was more pronounced in the SDF than BF. Adrenalectomy reduced mitochondrial content and expression of PGC1α and ANT1 in both muscles, and ETS complex IV abundance in the SDF near term. Uncoupling protein gene expression was unaffected by cortisol manipulations in both muscles. Gene expression of the myosin heavy chain isoform, MHCIIx, was increased by cortisol infusion and reduced by adrenalectomy in the BF alone. These findings show that cortisol has a muscle-specific role in prepartum maturation of mitochondrial OXPHOS capacity with important implications for the health of neonates born pre-term or after intrauterine glucocorticoid overexposure.
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Affiliation(s)
- K L Davies
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - E J Camm
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, Australia
| | - D J Smith
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - O R Vaughan
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- Institute for Women’s Health, University College London, London, UK
| | - A J Forhead
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
| | - A J Murray
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - A L Fowden
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- Correspondence should be addressed to A L Fowden:
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Davies KL, Smith DJ, El-Bacha T, Stewart ME, Easwaran A, Wooding PFP, Forhead AJ, Murray AJ, Fowden AL, Camm EJ. Development of cerebral mitochondrial respiratory function is impaired by thyroid hormone deficiency before birth in a region-specific manner. FASEB J 2021; 35:e21591. [PMID: 33891344 DOI: 10.1096/fj.202100075r] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/13/2021] [Accepted: 03/26/2021] [Indexed: 12/20/2022]
Abstract
Thyroid hormones regulate adult metabolism partly through actions on mitochondrial oxidative phosphorylation (OXPHOS). They also affect neurological development of the brain, but their role in cerebral OXPHOS before birth remains largely unknown, despite the increase in cerebral energy demand during the neonatal period. Thus, this study examined prepartum development of cerebral OXPHOS in hypothyroid fetal sheep. Using respirometry, Complex I (CI), Complex II (CII), and combined CI&CII OXPHOS capacity were measured in the fetal cerebellum and cortex at 128 and 142 days of gestational age (dGA) after surgical thyroidectomy or sham operation at 105 dGA (term ~145 dGA). Mitochondrial electron transfer system (ETS) complexes, mRNA transcripts related to mitochondrial biogenesis and ATP production, and mitochondrial density were quantified using molecular techniques. Cerebral morphology was assessed by immunohistochemistry and stereology. In the cortex, hypothyroidism reduced CI-linked respiration and CI abundance at 128 dGA and 142 dGA, respectively, and caused upregulation of PGC1α (regulator of mitochondrial biogenesis) and thyroid hormone receptor β at 128 dGA and 142 dGA, respectively. In contrast, in the cerebellum, hypothyroidism reduced CI&II- and CII-linked respiration at 128 dGA, with no significant effect on the ETS complexes. In addition, cerebellar glucocorticoid hormone receptor and adenine nucleotide translocase (ANT1) were downregulated at 128 dGA and 142 dGA, respectively. These alterations in mitochondrial function were accompanied by reduced myelination. The findings demonstrate the importance of thyroid hormones in the prepartum maturation of cerebral mitochondria and have implications for the etiology and treatment of the neurodevelopmental abnormalities associated with human prematurity and congenital hypothyroidism.
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Affiliation(s)
- Katie L Davies
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Danielle J Smith
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Tatiana El-Bacha
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Max E Stewart
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Akshay Easwaran
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Peter F P Wooding
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Alison J Forhead
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.,Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
| | - Andrew J Murray
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Abigail L Fowden
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Emily J Camm
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
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Iñigo MR, Amorese AJ, Tarpey MD, Balestrieri NP, Jones KG, Patteson DJ, Jackson KC, Torres MJ, Lin CT, Smith CD, Heden TD, McMillin SL, Weyrauch LA, Stanley EC, Schmidt CA, Kilburg-Basnyat BB, Reece SW, Psaltis CE, Leinwand LA, Funai K, McClung JM, Gowdy KM, Witczak CA, Lowe DA, Neufer PD, Spangenburg EE. Estrogen receptor-α in female skeletal muscle is not required for regulation of muscle insulin sensitivity and mitochondrial regulation. Mol Metab 2020; 34:1-15. [PMID: 32180550 PMCID: PMC6994285 DOI: 10.1016/j.molmet.2019.12.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE Estrogen receptor-α (ERα) is a nuclear receptor family member thought to substantially contribute to the metabolic regulation of skeletal muscle. However, previous mouse models utilized to assess the necessity of ERα signaling in skeletal muscle were confounded by altered developmental programming and/or influenced by secondary effects, making it difficult to assign a causal role for ERα. The objective of this study was to determine the role of skeletal muscle ERα in regulating metabolism in the absence of confounding factors of development. METHODS A novel mouse model was developed allowing for induced deletion of ERα in adult female skeletal muscle (ERαKOism). ERαshRNA was also used to knockdown ERα (ERαKD) in human myotubes cultured from primary human skeletal muscle cells isolated from muscle biopsies from healthy and obese insulin-resistant women. RESULTS Twelve weeks of HFD exposure had no differential effects on body composition, VO2, VCO2, RER, energy expenditure, and activity counts across genotypes. Although ERαKOism mice exhibited greater glucose intolerance than wild-type (WT) mice after chronic HFD, ex vivo skeletal muscle glucose uptake was not impaired in the ERαKOism mice. Expression of pro-inflammatory genes was altered in the skeletal muscle of the ERαKOism, but the concentrations of these inflammatory markers in the systemic circulation were either lower or remained similar to the WT mice. Finally, skeletal muscle mitochondrial respiratory capacity, oxidative phosphorylation efficiency, and H2O2 emission potential was not affected in the ERαKOism mice. ERαKD in human skeletal muscle cells neither altered differentiation capacity nor caused severe deficits in mitochondrial respiratory capacity. CONCLUSIONS Collectively, these results suggest that ERα function is superfluous in protecting against HFD-induced skeletal muscle metabolic derangements after postnatal development is complete.
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Affiliation(s)
- Melissa R Iñigo
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA
| | - Adam J Amorese
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA
| | - Michael D Tarpey
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA
| | - Nicholas P Balestrieri
- East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA
| | - Keith G Jones
- East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA
| | - Daniel J Patteson
- East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA
| | - Kathryn C Jackson
- University of Maryland, School of Public Health, Department of Kinesiology, College Park, MD, USA
| | - Maria J Torres
- East Carolina University, Department of Kinesiology, Greenville, NC, USA
| | - Chien-Te Lin
- East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA
| | - Cody D Smith
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA
| | - Timothy D Heden
- East Carolina University, Department of Kinesiology, Greenville, NC, USA
| | - Shawna L McMillin
- East Carolina University, Department of Kinesiology, Greenville, NC, USA
| | - Luke A Weyrauch
- East Carolina University, Department of Kinesiology, Greenville, NC, USA
| | - Erin C Stanley
- East Carolina University, Department of Kinesiology, Greenville, NC, USA
| | - Cameron A Schmidt
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA
| | - Brita B Kilburg-Basnyat
- East Carolina University Brody School of Medicine, Department of Pharmacology and Toxicology, Greenville, NC, USA
| | - Sky W Reece
- East Carolina University Brody School of Medicine, Department of Pharmacology and Toxicology, Greenville, NC, USA
| | - Christine E Psaltis
- East Carolina University Brody School of Medicine, Department of Pharmacology and Toxicology, Greenville, NC, USA
| | - Leslie A Leinwand
- University of Colorado, Department of Molecular, Cellular, and Developmental Biology and BioFrontiers Institute, Boulder, CO, USA
| | - Katsuhiko Funai
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA; East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA; East Carolina University, Department of Kinesiology, Greenville, NC, USA
| | - Joseph M McClung
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA; East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA
| | - Kymberly M Gowdy
- East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA; East Carolina University Brody School of Medicine, Department of Pharmacology and Toxicology, Greenville, NC, USA
| | - Carol A Witczak
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA; East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA; East Carolina University, Department of Kinesiology, Greenville, NC, USA; East Carolina University, Department of Biochemistry and Molecular Biology, Greenville, NC, USA
| | - Dawn A Lowe
- University of Minnesota, Department of Rehabilitation Medicine, Division of Rehabilitation Science and Division of Physical Therapy, Minneapolis, MN, USA
| | - P Darrell Neufer
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA; East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA; East Carolina University, Department of Kinesiology, Greenville, NC, USA
| | - Espen E Spangenburg
- East Carolina University Brody School of Medicine, Department of Physiology, Greenville, NC, USA; East Carolina University, East Carolina Diabetes and Obesity Institute, Greenville, NC, USA; East Carolina University, Department of Kinesiology, Greenville, NC, USA.
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7
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Ma J, Ren C, Yang H, Zhao J, Wang F, Wan Y. The Expression Pattern of p32 in Sheep Muscle and Its Role in Differentiation, Cell Proliferation, and Apoptosis of Myoblasts. Int J Mol Sci 2019; 20:ijms20205161. [PMID: 31635221 PMCID: PMC6829534 DOI: 10.3390/ijms20205161] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 09/30/2019] [Indexed: 12/21/2022] Open
Abstract
The complement 1q binding protein C (C1QBP), also known as p32, is highly expressed in rapidly growing tissues and plays a crucial role in cell proliferation and apoptosis. However, there are no data interpreting its mechanisms in muscle development. To investigate the role of p32 in sheep muscle development, an 856 bp cDNA fragment of p32 containing an 837 bp coding sequence that encodes 278 amino acids was analyzed. We then revealed that the expression of p32 in the longissimus and quadricep muscles of fetal sheep was more significantly up-regulated than expression at other developmental stages. Furthermore, we found that the expression of p32 was increased during myoblasts differentiation in vitro. Additionally, the knockdown of p32 in sheep myoblasts effectively inhibited myoblast differentiation, proliferation, and promoted cell apoptosis in vitro. The interference of p32 also changed the energy metabolism from Oxidative Phosphorylation (OXPHOS) to glycolysis and activated AMP-activated protein kinase (AMPK) phosphorylation in sheep myoblasts in vitro. Taken together, our data suggest that p32 plays a vital role in the development of sheep muscle and provides a potential direction for future research on muscle development and some muscle diseases.
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Affiliation(s)
- Jianyu Ma
- Institute of Sheep and Goat Science; Nanjing Agricultural University, Nanjing 210095, China.
| | - Caifang Ren
- Institute of Sheep and Goat Science; Nanjing Agricultural University, Nanjing 210095, China.
| | - Hua Yang
- Institute of Sheep and Goat Science; Nanjing Agricultural University, Nanjing 210095, China.
| | - Jie Zhao
- Institute of Sheep and Goat Science; Nanjing Agricultural University, Nanjing 210095, China.
| | - Feng Wang
- Institute of Sheep and Goat Science; Nanjing Agricultural University, Nanjing 210095, China.
| | - Yongjie Wan
- Institute of Sheep and Goat Science; Nanjing Agricultural University, Nanjing 210095, China.
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8
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Kim Y, Yang DS, Katti P, Glancy B. Protein composition of the muscle mitochondrial reticulum during postnatal development. J Physiol 2019; 597:2707-2727. [PMID: 30919448 PMCID: PMC6826232 DOI: 10.1113/jp277579] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 03/11/2019] [Indexed: 01/24/2023] Open
Abstract
KEY POINTS Muscle mitochondrial networks changed from a longitudinal, fibre parallel orientation to a perpendicular configuration during postnatal development. Mitochondrial dynamics, mitophagy and calcium uptake proteins were abundant during early postnatal development. Mitochondrial biogenesis and oxidative phosphorylation proteins were upregulated throughout muscle development. Postnatal muscle mitochondrial network formation is accompanied by a change in protein expression profile from mitochondria designed for co-ordinated cellular assembly to mitochondria highly specialized for cellular energy metabolism. ABSTRACT Striated muscle mitochondria form connected networks capable of rapid cellular energy distribution. However, the mitochondrial reticulum is not formed at birth and the mechanisms driving network development remain unclear. In the present study, we aimed to establish the network formation timecourse and protein expression profile during postnatal development of the murine muscle mitochondrial reticulum. Two-photon microscopy was used to observe mitochondrial network orientation in tibialis anterior (TA) muscles of live mice at postnatal days (P) 1, 7, 14, 21 and 42, respectively. All muscle fibres maintained a longitudinal, fibre parallel mitochondrial network orientation early in development (P1-7). Mixed networks were most common at P14 but, by P21, almost all fibres had developed the perpendicular mitochondrial orientation observed in mature, glycolytic fibres. Tandem mass tag proteomics were then applied to examine changes in 6869 protein abundances in developing TA muscles. Mitochondrial proteins increased by 32% from P1 to P42. In addition, both nuclear- and mitochondrial-DNA encoded oxidative phosphorylation (OxPhos) components were increased during development, whereas OxPhos assembly factors decreased. Although mitochondrial dynamics and mitophagy were induced at P1-7, mitochondrial biogenesis was enhanced after P14. Moreover, calcium signalling proteins and the mitochondrial calcium uniporter had the highest expression early in postnatal development. In conclusion, mitochondrial networks transform from a fibre parallel to perpendicular orientation during the second and third weeks after birth in murine glycolytic skeletal muscle. This structural transition is accompanied by a change in protein expression profile from mitochondria designed for co-ordinated cellular assembly to mitochondria highly specialized for cellular energy metabolism.
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Affiliation(s)
- Yuho Kim
- National Heart, Lung, and Blood Institute National Institutes of HealthBethesdaMDUSA
| | - Daniel S. Yang
- National Heart, Lung, and Blood Institute National Institutes of HealthBethesdaMDUSA
| | - Prasanna Katti
- National Heart, Lung, and Blood Institute National Institutes of HealthBethesdaMDUSA
| | - Brian Glancy
- National Heart, Lung, and Blood Institute National Institutes of HealthBethesdaMDUSA
- National Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institutes of HealthBethesdaMDUSA
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9
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Bartlett TE, Müller S, Diaz A. Single-cell Co-expression Subnetwork Analysis. Sci Rep 2017; 7:15066. [PMID: 29118406 PMCID: PMC5678118 DOI: 10.1038/s41598-017-15525-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 10/27/2017] [Indexed: 11/09/2022] Open
Abstract
Single-cell transcriptomic data have rapidly become very popular in genomic science. Genomic science also has a long history of using network models to understand the way in which genes work together to carry out specific biological functions. However, working with single-cell data presents major challenges, such as zero inflation and technical noise. These challenges require methods to be specifically adapted to the context of single-cell data. Recently, much effort has been made to develop the theory behind statistical network models. This has lead to many new models being proposed, and has provided a thorough understanding of the properties of existing models. However, a large amount of this work assumes binary-valued relationships between network nodes, whereas genomic network analysis is traditionally based on continuous-valued correlations between genes. In this paper, we assess several established methods for genomic network analysis, we compare ways that these methods can be adapted to the single-cell context, and we use mixture-models to infer binary-valued relationships based on gene-gene correlations. Based on these binary relationships, we find that excellent results can be achieved by using subnetwork analysis methodology popular amongst network statisticians. This methodology thereby allows detection of functional subnetwork modules within these single-cell genomic networks.
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Affiliation(s)
| | - Sören Müller
- Department of Neurological Surgery, University of California, San Francisco, USA
| | - Aaron Diaz
- Department of Neurological Surgery, University of California, San Francisco, USA
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10
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Seron-Ferre M, Torres-Farfan C, Valenzuela FJ, Castillo-Galan S, Rojas A, Mendez N, Reynolds H, Valenzuela GJ, Llanos AJ. Deciphering the Function of the Blunt Circadian Rhythm of Melatonin in the Newborn Lamb: Impact on Adrenal and Heart. Endocrinology 2017; 158:2895-2905. [PMID: 28911179 DOI: 10.1210/en.2017-00254] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Accepted: 07/17/2017] [Indexed: 11/19/2022]
Abstract
Neonatal lambs, as with human and other neonates, have low arrhythmic endogenous levels of melatonin for several weeks until they start their own pineal rhythm of melatonin production at approximately 2 weeks of life. During pregnancy, daily rhythmic transfer of maternal melatonin to the fetus has important physiological roles in sheep, nonhuman primates, and rats. This melatonin rhythm provides a circadian signal and also participates in adjusting the physiology of several organs in preparation for extrauterine life. We propose that the ensuing absence of a melatonin rhythm plays a role in neonatal adaptation. To test this hypothesis, we studied the effects of imposing a high-amplitude melatonin rhythm in the newborn lamb on (1) clock time-related changes in cortisol and plasma variables and (2) clock time-related changes of gene expression of clock genes and selected functional genes in the adrenal gland and heart. We treated newborn lambs with a daily oral dose of melatonin (0.25 mg/kg) from birth to 5 days of age, recreating a high-amplitude melatonin rhythm. This treatment suppressed clock time-related changes of plasma adrenocorticotropic hormone, cortisol, clock gene expression, and functional genes in the newborn adrenal gland. In the heart, it decreased heart/body weight ratio, increased expression of Anp and Bnp, and resulted in different heart gene expression from control newborns. The interference of this postnatal melatonin treatment with the normal postnatal pattern of adrenocortical function and heart development support a physiological role for the window of flat postnatal melatonin levels during the neonatal transition.
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Affiliation(s)
- Maria Seron-Ferre
- Laboratorio de Cronobiología, Universidad de Chile, Santiago 16038, Chile
- Programa de Fisiopatología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 16038, Chile
| | - Claudia Torres-Farfan
- Laboratorio de Cronobiología del Desarrollo, Facultad de Medicina, Universidad Austral de Chile, Valdivia 7500922, Chile
| | - Francisco J Valenzuela
- Laboratorio de Cronobiología, Universidad de Chile, Santiago 16038, Chile
- Programa de Fisiopatología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 16038, Chile
| | - Sebastian Castillo-Galan
- Laboratorio de Cronobiología, Universidad de Chile, Santiago 16038, Chile
- Programa de Fisiopatología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 16038, Chile
| | - Auristela Rojas
- Laboratorio de Cronobiología, Universidad de Chile, Santiago 16038, Chile
- Programa de Fisiopatología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 16038, Chile
| | - Natalia Mendez
- Laboratorio de Cronobiología del Desarrollo, Facultad de Medicina, Universidad Austral de Chile, Valdivia 7500922, Chile
| | - Henry Reynolds
- Laboratorio de Cronobiología, Universidad de Chile, Santiago 16038, Chile
- Programa de Fisiopatología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 16038, Chile
| | - Guillermo J Valenzuela
- Department of Women's Health, Arrowhead Regional Medical Center, San Bernardino, California 92324
| | - Anibal J Llanos
- Programa de Fisiopatología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 16038, Chile
- International Center for Andean Studies, Universidad de Chile, Santiago 16038, Chile
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11
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Yao Y, Voillet V, Jegou M, SanCristobal M, Dou S, Romé V, Lippi Y, Billon Y, Père MC, Boudry G, Gress L, Iannucelli N, Mormède P, Quesnel H, Canario L, Liaubet L, Le Huërou-Luron I. Comparing the intestinal transcriptome of Meishan and Large White piglets during late fetal development reveals genes involved in glucose and lipid metabolism and immunity as valuable clues of intestinal maturity. BMC Genomics 2017; 18:647. [PMID: 28830381 PMCID: PMC5568345 DOI: 10.1186/s12864-017-4001-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Accepted: 08/01/2017] [Indexed: 11/21/2022] Open
Abstract
Background Maturity of intestinal functions is critical for neonatal health and survival, but comprehensive description of mechanisms underlying intestinal maturation that occur during late gestation still remain poorly characterized. The aim of this study was to investigate biological processes specifically involved in intestinal maturation by comparing fetal jejunal transcriptomes of two representative porcine breeds (Large White, LW; Meishan, MS) with contrasting neonatal vitality and maturity, at two key time points during late gestation (gestational days 90 and 110). MS and LW sows inseminated with mixed semen (from breed LW and MS) gave birth to both purebred and crossbred fetuses. We hypothesized that part of the differences in neonatal maturity between the two breeds results from distinct developmental profiles of the fetal intestine during late gestation. Reciprocal crossed fetuses were used to analyze the effect of parental genome. Transcriptomic data and 23 phenotypic variables known to be associated with maturity trait were integrated using multivariate analysis with expectation of identifying relevant genes-phenotypic variable relationships involved in intestinal maturation. Results A moderate maternal genotype effect, but no paternal genotype effect, was observed on offspring intestinal maturation. Four hundred and four differentially expressed probes, corresponding to 274 differentially expressed genes (DEGs), more specifically involved in the maturation process were further studied. In day 110-MS fetuses, Ingenuity® functional enrichment analysis revealed that 46% of DEGs were involved in glucose and lipid metabolism, cell proliferation, vasculogenesis and hormone synthesis compared to day 90-MS fetuses. Expression of genes involved in immune pathways including phagocytosis, inflammation and defense processes was changed in day 110-LW compared to day 90-LW fetuses (corresponding to 13% of DEGs). The transcriptional regulator PPARGC1A was predicted to be an important regulator of differentially expressed genes in MS. Fetal blood fructose level, intestinal lactase activity and villous height were the best predicted phenotypic variables with probes mostly involved in lipid metabolism, carbohydrate metabolism and cellular movement biological pathways. Conclusions Collectively, our findings indicate that the neonatal maturity of pig intestine may rely on functional development of glucose and lipid metabolisms, immune phagocyte differentiation and inflammatory pathways. This process may partially be governed by PPARGC1A. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-4001-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ying Yao
- Nutrition Metabolisms and Cancer (NuMeCan), INRA, INSERM, Université de Rennes 1, UBL, Rennes, Saint-Gilles, France.,Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Valentin Voillet
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - Maeva Jegou
- Nutrition Metabolisms and Cancer (NuMeCan), INRA, INSERM, Université de Rennes 1, UBL, Rennes, Saint-Gilles, France
| | - Magali SanCristobal
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - Samir Dou
- PEGASE, INRA, Agrocampus Ouest, Saint-Gilles, France
| | - Véronique Romé
- Nutrition Metabolisms and Cancer (NuMeCan), INRA, INSERM, Université de Rennes 1, UBL, Rennes, Saint-Gilles, France
| | - Yannick Lippi
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS, Toulouse, France
| | | | | | - Gaëlle Boudry
- Nutrition Metabolisms and Cancer (NuMeCan), INRA, INSERM, Université de Rennes 1, UBL, Rennes, Saint-Gilles, France
| | - Laure Gress
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - Nathalie Iannucelli
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - Pierre Mormède
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | | | - Laurianne Canario
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - Laurence Liaubet
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - Isabelle Le Huërou-Luron
- Nutrition Metabolisms and Cancer (NuMeCan), INRA, INSERM, Université de Rennes 1, UBL, Rennes, Saint-Gilles, France.
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12
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Ghazanfar S, Vuocolo T, Morrison JL, Nicholas LM, McMillen IC, Yang JYH, Buckley MJ, Tellam RL. Gene expression allelic imbalance in ovine brown adipose tissue impacts energy homeostasis. PLoS One 2017; 12:e0180378. [PMID: 28665992 PMCID: PMC5493397 DOI: 10.1371/journal.pone.0180378] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 06/14/2017] [Indexed: 12/22/2022] Open
Abstract
Heritable trait variation within a population of organisms is largely governed by DNA variations that impact gene transcription and protein function. Identifying genetic variants that affect complex functional traits is a primary aim of population genetics studies, especially in the context of human disease and agricultural production traits. The identification of alleles directly altering mRNA expression and thereby biological function is challenging due to difficulty in isolating direct effects of cis-acting genetic variations from indirect trans-acting genetic effects. Allele specific gene expression or allelic imbalance in gene expression (AI) occurring at heterozygous loci provides an opportunity to identify genes directly impacted by cis-acting genetic variants as indirect trans-acting effects equally impact the expression of both alleles. However, the identification of genes showing AI in the context of the expression of all genes remains a challenge due to a variety of technical and statistical issues. The current study focuses on the discovery of genes showing AI using single nucleotide polymorphisms as allelic reporters. By developing a computational and statistical process that addressed multiple analytical challenges, we ranked 5,809 genes for evidence of AI using RNA-Seq data derived from brown adipose tissue samples from a cohort of late gestation fetal lambs and then identified a conservative subgroup of 1,293 genes. Thus, AI was extensive, representing approximately 25% of the tested genes. Genes associated with AI were enriched for multiple Gene Ontology (GO) terms relating to lipid metabolism, mitochondrial function and the extracellular matrix. These functions suggest that cis-acting genetic variations causing AI in the population are preferentially impacting genes involved in energy homeostasis and tissue remodelling. These functions may contribute to production traits likely to be under genetic selection in the population.
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Affiliation(s)
- Shila Ghazanfar
- Data61, CSIRO, North Ryde, NSW, Australia
- School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, Australia
- * E-mail: (SG); (RLT)
| | - Tony Vuocolo
- CSIRO Agriculture, Queensland Biosciences Precinct, St Lucia, QLD, Australia
| | - Janna L. Morrison
- Early Origins of Adult Health Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, The University of South Australia, Adelaide, SA, Australia
| | - Lisa M. Nicholas
- Early Origins of Adult Health Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, The University of South Australia, Adelaide, SA, Australia
| | - Isabella C. McMillen
- Early Origins of Adult Health Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, The University of South Australia, Adelaide, SA, Australia
| | - Jean Y. H. Yang
- School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, Australia
| | | | - Ross L. Tellam
- CSIRO Agriculture, Queensland Biosciences Precinct, St Lucia, QLD, Australia
- * E-mail: (SG); (RLT)
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13
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Wang YH, Zhang CL, Plath M, Fang XT, Lan XY, Zhou Y, Chen H. Global transcriptional profiling of longissimus thoracis muscle tissue in fetal and juvenile domestic goat using RNA sequencing. Anim Genet 2015; 46:655-65. [PMID: 26364974 DOI: 10.1111/age.12338] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2015] [Indexed: 01/05/2023]
Abstract
Domestic goats are important meat production animals; however, data from transcriptional profiling of skeletal muscle tissue in goat have thus far been scarce. We used comparative transcriptional profiling based on RNA sequencing of longissimus thoracis muscle tissue obtained from fetal goat muscle tissue (27 512 850 clean cDNA reads) and 6-month-old goat muscle tissue (27 582 908 reads) to identify genes that are differentially expressed, novel transcript units and alternative splicing events. Gene annotation revealed that 15 960 and 14 981 genes were expressed in the fetal and juvenile libraries respectively. We detected 6432 differentially expressed genes and, when considering GO terms, found 34, 27 and 55 terms to be significantly enriched in molecular function, cellular component and biological process categories respectively. Pathway analysis revealed that larger numbers of differentially expressed genes were enriched in fetal myogenesis or cell proliferation and differentiation-related pathways (such as Wnt), genes involved in the cell cycle and the Notch signaling pathway, and most of the differentially expressed genes involved in these pathways were downregulated in the juvenile goat library. These genes may be involved in various regulation mechanisms during muscle tissue differentiation between the two development stages examined herein. The identified novel transcript units, including both non-coding and coding RNA, as well as alternative splicing events increase the level of complexity of regulation mechanisms during muscle tissue formation and differentiation. Our study provides a comparative transcriptome analysis on goat muscle tissue, which will provide a valuable genomic resource for future studies investigating the molecular basis of skeletal muscle development.
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Affiliation(s)
- Y H Wang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China.,Institute of Cellular and Molecular Biology, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, China
| | - C L Zhang
- Institute of Cellular and Molecular Biology, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, China
| | - M Plath
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China
| | - X T Fang
- Institute of Cellular and Molecular Biology, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, China
| | - X Y Lan
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China
| | - Y Zhou
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China
| | - H Chen
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China
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14
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Xu L, Zhao F, Ren H, Li L, Lu J, Liu J, Zhang S, Liu GE, Song J, Zhang L, Wei C, Du L. Co-expression analysis of fetal weight-related genes in ovine skeletal muscle during mid and late fetal development stages. Int J Biol Sci 2014; 10:1039-50. [PMID: 25285036 PMCID: PMC4183924 DOI: 10.7150/ijbs.9737] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2014] [Accepted: 08/16/2014] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Muscle development and lipid metabolism play important roles during fetal development stages. The commercial Texel sheep are more muscular than the indigenous Ujumqin sheep. RESULTS We performed serial transcriptomics assays and systems biology analyses to investigate the dynamics of gene expression changes associated with fetal longissimus muscles during different fetal stages in two sheep breeds. Totally, we identified 1472 differentially expressed genes during various fetal stages using time-series expression analysis. A systems biology approach, weighted gene co-expression network analysis (WGCNA), was used to detect modules of correlated genes among these 1472 genes. Dramatically different gene modules were identified in four merged datasets, corresponding to the mid fetal stage in Texel and Ujumqin sheep, the late fetal stage in Texel and Ujumqin sheep, respectively. We further detected gene modules significantly correlated with fetal weight, and constructed networks and pathways using genes with high significances. In these gene modules, we identified genes like TADA3, LMNB1, TGF-β3, EEF1A2, FGFR1, MYOZ1, and FBP2 correlated with fetal weight. CONCLUSION Our study revealed the complex network characteristics involved in muscle development and lipid metabolism during fetal development stages. Diverse patterns of the network connections observed between breeds and fetal stages could involve some hub genes, which play central roles in fetal development, correlating with fetal weight. Our findings could provide potential valuable biomarkers for selection of body weight-related traits in sheep and other livestock.
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Affiliation(s)
- Lingyang Xu
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China; ; 4. Animal Genomics and Improvement Laboratory, U.S. Department of Agriculture-Agricultural Research Services, Beltsville, Maryland 20705, USA; ; 5. Department of Animal and Avian Sciences, University of Maryland, College Park, Maryland 20742, USA
| | - Fuping Zhao
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Hangxing Ren
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China; ; 2. Chongqing Academy of Animal Sciences, Chongqing, 402460, China
| | - Li Li
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China; ; 3. College of Animal Science and Technology, Sichuan Agricultural University, Ya'an, Sichuan, 625014, China
| | - Jian Lu
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Jiasen Liu
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Shifang Zhang
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - George E Liu
- 4. Animal Genomics and Improvement Laboratory, U.S. Department of Agriculture-Agricultural Research Services, Beltsville, Maryland 20705, USA
| | - Jiuzhou Song
- 5. Department of Animal and Avian Sciences, University of Maryland, College Park, Maryland 20742, USA
| | - Li Zhang
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Caihong Wei
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Lixin Du
- 1. National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
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15
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Wei C, Li L, Su H, Xu L, Lu J, Zhang L, Liu W, Ren H, Du L. Identification of the crucial molecular events during the large-scale myoblast fusion in sheep. Physiol Genomics 2014; 46:429-40. [DOI: 10.1152/physiolgenomics.00184.2013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
It is well known that in sheep most myofibers are formed before birth; however, the crucial myogenic stage and the cellular and molecular mechanisms underpinning phenotypic variation of fetal muscle development remain to be ascertained. We used histological, microarray, and quantitative real-time PCR (qPCR) methods to examine the developmental characteristics of fetal muscle at 70, 85, 100, 120, and 135 days of gestation in sheep. We show that day 100 is an important checkpoint for change in muscle transcriptome and histomorphology in fetal sheep and that the period of 85–100 days is the vital developmental stage for large-scale myoblast fusion. Furthermore, we identified the cis-regulatory motifs for E2F1 or MEF2A in a list of decreasingly or increasingly expressed genes between 85 and 100 days, respectively. Further analysis demonstrated that the mRNA and phosphorylated protein levels of E2F1 and MEF2A significantly declined with myogenic progression in vivo and in vitro. qRT-PCR analysis indicated that PI3K and FST, as targets of E2F1, may be involved in myoblast differentiation and fusion and that downregulation of MEF2A contributes to transition of myofiber types by differential regulation of the target genes involved at the stage of 85–100 days. We clarify for the first time the timing of myofiber proliferation and development during gestation in sheep, which would be beneficial to meat sheep production. Our findings present a repertoire of gene expression in muscle during large-scale myoblast fusion at transcriptome-wide level, which contributes to elucidate the regulatory network of myogenic differentiation.
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Affiliation(s)
- Caihong Wei
- National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Li Li
- National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Animal Science and Technology, Sichuan Agricultural University, Ya'an, Sichuan, China; and
| | - Hongwei Su
- College of Animal Science and Technology, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Lingyang Xu
- National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jian Lu
- National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Li Zhang
- National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenzhong Liu
- College of Animal Science and Technology, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Hangxing Ren
- National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- Chongqing Academy of Animal Sciences, Rongchang, Chongqing, China
| | - Lixin Du
- National Center for Molecular Genetics and Breeding of Animal, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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16
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Byrne K, McWilliam S, Vuocolo T, Gondro C, Cockett NE, Tellam RL. Genomic architecture of histone 3 lysine 27 trimethylation during late ovine skeletal muscle development. Anim Genet 2014; 45:427-38. [PMID: 24673416 PMCID: PMC4286725 DOI: 10.1111/age.12145] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/05/2014] [Indexed: 12/21/2022]
Abstract
The ruminant developmental transition from late foetus to lamb is associated with marked changes in skeletal muscle structure and function that reflect programming for new physiological demands following birth. To determine whether epigenetic changes are involved in this transition, we investigated the genomic architecture of the chromatin modification, histone 3 lysine 27 trimethylation (H3K27me3), which typically regulates early life developmental processes; however, its role in later life processes is unclear. Chromatin immunoprecipitation coupled with next‐generation sequencing was used to map H3K27me3 nucleosomes in ovine longissimus lumborum skeletal muscle at 100 days of gestation and 12 weeks post‐partum. In both states, H3K27me3 modification was associated with genes, transcription start sites and CpG islands and with transcriptional silencing. The H3K27me3 peaks consisted of two major categories, promoter specific and regional, with the latter the dominant feature. Genes encoding homeobox transcription factors regulating early life development and genes involved in neural functions, particularly gated ion channels, were strongly modified by H3K27me3. Gene promoters differentially modified by H3K27me3 in the foetus and lamb were enriched for gated ion channels, which may reflect changes in neuromuscular function. However, most modified genes showed no changes, indicating that H3K27me3 does not have a large role in late muscle maturation. Notably, promyogenic transcription factors were strongly modified with H3K27me3 but showed no differences between the late gestation foetus and lamb, likely reflecting their lack of involvement in the myofibre fusion process occurring in this transition. H3K27me3 is a major architectural feature of the epigenetic landscape of ruminant skeletal muscle, and it comments on gene transcription and gene function in the context of late skeletal muscle development.
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Affiliation(s)
- K Byrne
- CSIRO Animal, Food and Health Sciences, Queensland Bioscience Precinct, 306 Carmody Rd, St Lucia, QLD, 4067, Australia
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Analysis of differential gene expression and novel transcript units of ovine muscle transcriptomes. PLoS One 2014; 9:e89817. [PMID: 24587058 PMCID: PMC3935930 DOI: 10.1371/journal.pone.0089817] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Accepted: 01/27/2014] [Indexed: 12/01/2022] Open
Abstract
In this study, we characterized differentially expressed genes (DEGs) between the muscle transcriptomes of Small-tailed Han sheep and Dorper sheep and predicted novel transcript units using high-throughput RNA sequencing technology. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that 1,300 DEGs were involved in cellular processes, metabolic pathways, and the actin cytoskeleton pathway. Importantly, we identified 34 DEGs related to muscle cell development and differentiation. Additionally, we were able to optimize the gene structure and predict the untranslated regions (UTRs) for some of the DEGs. Among the 123,678 novel predicted transcript units (TUs), 15,015 units were predicted protein sequences. The reliability of the sequencing data was verified through qRT-PCR analysis of 12 genes. These results will provide useful information for functional genetic research in the future.
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Zhang C, Wang G, Wang J, Ji Z, Liu Z, Pi X, Chen C. Characterization and comparative analyses of muscle transcriptomes in Dorper and small-tailed Han sheep using RNA-Seq technique. PLoS One 2013; 8:e72686. [PMID: 24023632 PMCID: PMC3758325 DOI: 10.1371/journal.pone.0072686] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2013] [Accepted: 07/17/2013] [Indexed: 02/02/2023] Open
Abstract
The sheep is an important domestic animal and model for many types of medically relevant research. An investigation of gene expression in ovine muscle would significantly advance our understanding of muscle growth. RNA-seq is a recently developed analytical approach for transcriptome profiling via high-throughput sequencing. Although RNA-seq has been recently applied to a wide variety of organisms, few RNA-seq studies have been conducted in livestock, particularly in sheep. In this study, two cDNA libraries were constructed from the biceps brachii of one Small-tailed Han sheep (SH) and one Dorper sheep (DP). The Illumina high-throughput sequencing technique and bioinformatics were used to determine transcript abundances and characteristics. For the SH and DP libraries, we obtained a total of 50,264,608 and 52,794,216 high quality reads, respectively. Approximately two-thirds of the reads could be mapped to the sheep genome. In addition, 40,481 and 38,851 potential coding single nucleotide polymorphisms (cSNPs) were observed, respectively, of which a total of 59,139 cSNP coordinates were different between the two samples. Up to 5,116 and 5,265 respective reference genes had undergone 13,827 and 15,684 alternative splicing events. A total of 6,989 reference genes were extended at the 5’, 3’ or both ends, and 123,678 novel transcript units were found. A total of 1,300 significantly differentially expressed genes were identified between the two libraries. These results suggest that there are many differences in the muscle transcriptomes between these two animals. This study addresses a preliminary analysis and offers a foundation for future genomic research in the sheep.
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Affiliation(s)
- Chunlan Zhang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, Shandong Province, China
| | - Guizhi Wang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, Shandong Province, China
| | - Jianmin Wang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, Shandong Province, China
- * E-mail:
| | - Zhibin Ji
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, Shandong Province, China
| | - Zhaohuan Liu
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, Shandong Province, China
| | - Xiushuang Pi
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, Shandong Province, China
| | - Cunxian Chen
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, Shandong Province, China
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Hudson NJ, Lyons RE, Reverter A, Greenwood PL, Dalrymple BP. Inferring the in vivo cellular program of developing bovine skeletal muscle from expression data. Gene Expr Patterns 2013; 13:109-25. [PMID: 23419240 DOI: 10.1016/j.gep.2013.02.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2012] [Revised: 02/04/2013] [Accepted: 02/06/2013] [Indexed: 12/01/2022]
Abstract
We outline an in vivo cellular program of bovine longissimus muscle development inferred from expression data from 60 days post conception to 3months postnatal. Analytic challenges included changes in cellular composition, ambiguous 'diagnostic' markers of cell type and contrasts between cattle human and mouse myogenesis. Nevertheless, the expression profiles of the myosin isoforms support slow and fast muscle fibres emanating from primary and secondary myogenesis respectively, while expression of the prenatal myosin subunits is down regulated prior to birth. Of the canonical pro-myogenic transcription factors (TF), MYF6 and MYF5 are negatively co-expressed, with MYF6 displaying higher expression in the post-natal samples and MYF5, MYOG, HES6 and PAX7 displaying higher expression in early development. A set of TFs (SIX1, EYA2 and DACH2) considered important in undifferentiated murine cells were equally abundant in differentiated bovine cells. An examination of mammalian regulators of fibre composition, muscle mass and muscle metabolism, underscored the roles of PPARGC1A, TGFβ signalling and the NHR4 Nuclear Hormone Receptors on bovine muscle development. Enriched among the most variably expressed genes from the entire data set were molecules regulating mitochondrial metabolism of carbohydrate (PDK4), fat (UCP3), protein (AGXT2L1) and high energy phosphate (CKMT2). The dramatic increase in the expression of these transcripts, which may enable the peri-natal transition to metabolic independence critical for new-born herbivores, provides surprising evidence for substantial developmental remodelling of muscle mitochondria and reflects changes in nutrient availability. Overall, despite differences in size, metabolism and physiology, the muscle structural subunit expression program appears very similar in ruminants, rodents and humans.
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Affiliation(s)
- Nicholas J Hudson
- Computational and Systems Biology Group, CSIRO Food Futures and CSIRO Animal, Food and Health Sciences, 306 Carmody Road, St. Lucia, QLD 4072, Australia.
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Xiang R, Ghanipoor-Samami M, Johns WH, Eindorf T, Rutley DL, Kruk ZA, Fitzsimmons CJ, Thomsen DA, Roberts CT, Burns BM, Anderson GI, Greenwood PL, Hiendleder S. Maternal and paternal genomes differentially affect myofibre characteristics and muscle weights of bovine fetuses at midgestation. PLoS One 2013; 8:e53402. [PMID: 23341941 PMCID: PMC3544898 DOI: 10.1371/journal.pone.0053402] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2012] [Accepted: 11/30/2012] [Indexed: 12/19/2022] Open
Abstract
Postnatal myofibre characteristics and muscle mass are largely determined during fetal development and may be significantly affected by epigenetic parent-of-origin effects. However, data on such effects in prenatal muscle development that could help understand unexplained variation in postnatal muscle traits are lacking. In a bovine model we studied effects of distinct maternal and paternal genomes, fetal sex, and non-genetic maternal effects on fetal myofibre characteristics and muscle mass. Data from 73 fetuses (Day153, 54% term) of four genetic groups with purebred and reciprocal cross Angus and Brahman genetics were analyzed using general linear models. Parental genomes explained the greatest proportion of variation in myofibre size of Musculus semitendinosus (80–96%) and in absolute and relative weights of M. supraspinatus, M. longissimus dorsi, M. quadriceps femoris and M. semimembranosus (82–89% and 56–93%, respectively). Paternal genome in interaction with maternal genome (P<0.05) explained most genetic variation in cross sectional area (CSA) of fast myotubes (68%), while maternal genome alone explained most genetic variation in CSA of fast myofibres (93%, P<0.01). Furthermore, maternal genome independently (M. semimembranosus, 88%, P<0.0001) or in combination (M. supraspinatus, 82%; M. longissimus dorsi, 93%; M. quadriceps femoris, 86%) with nested maternal weight effect (5–6%, P<0.05), was the predominant source of variation for absolute muscle weights. Effects of paternal genome on muscle mass decreased from thoracic to pelvic limb and accounted for all (M. supraspinatus, 97%, P<0.0001) or most (M. longissimus dorsi, 69%, P<0.0001; M. quadriceps femoris, 54%, P<0.001) genetic variation in relative weights. An interaction between maternal and paternal genomes (P<0.01) and effects of maternal weight (P<0.05) on expression of H19, a master regulator of an imprinted gene network, and negative correlations between H19 expression and fetal muscle mass (P<0.001), suggested imprinted genes and miRNA interference as mechanisms for differential effects of maternal and paternal genomes on fetal muscle.
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Affiliation(s)
- Ruidong Xiang
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
- Robinson Institute, The University of Adelaide, South Australia, Australia
| | - Mani Ghanipoor-Samami
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
- Robinson Institute, The University of Adelaide, South Australia, Australia
| | - William H. Johns
- NSW Department of Primary Industries, Beef Industry Centre, Trevenna Rd, University of New England, Armidale, New South Wales, Australia
| | - Tanja Eindorf
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
| | - David L. Rutley
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
| | - Zbigniew A. Kruk
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
| | - Carolyn J. Fitzsimmons
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
| | - Dana A. Thomsen
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
- Robinson Institute, The University of Adelaide, South Australia, Australia
| | - Claire T. Roberts
- Robinson Institute, The University of Adelaide, South Australia, Australia
- School of Paediatrics and Reproductive Health, The University of Adelaide, South Australia, Australia
| | - Brian M. Burns
- The University of Queensland, Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, Rockhampton, Queensland, Australia
| | - Gail I. Anderson
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
| | - Paul L. Greenwood
- NSW Department of Primary Industries, Beef Industry Centre, Trevenna Rd, University of New England, Armidale, New South Wales, Australia
| | - Stefan Hiendleder
- J.S. Davies Non-Mendelian Genetics Group, School of Animal and Veterinary Sciences, Roseworthy Campus, The University of Adelaide, South Australia, Australia
- Robinson Institute, The University of Adelaide, South Australia, Australia
- * E-mail:
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Sun W, Hudson NJ, Reverter A, Waardenberg AJ, Tellam RL, Vuocolo T, Byrne K, Dalrymple BP. An Always Correlated gene expression landscape for ovine skeletal muscle, lessons learnt from comparison with an "equivalent" bovine landscape. BMC Res Notes 2012; 5:632. [PMID: 23148653 PMCID: PMC3543716 DOI: 10.1186/1756-0500-5-632] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2012] [Accepted: 11/07/2012] [Indexed: 11/21/2022] Open
Abstract
Background We have recently described a method for the construction of an informative gene expression correlation landscape for a single tissue, longissimus muscle (LM) of cattle, using a small number (less than a hundred) of diverse samples. Does this approach facilitate interspecies comparison of networks? Findings Using gene expression datasets from LM samples from a single postnatal time point for high and low muscling sheep, and from a developmental time course (prenatal to postnatal) for normal sheep and sheep exhibiting the Callipyge muscling phenotype gene expression correlations were calculated across subsets of the data comparable to the bovine analysis. An “Always Correlated” gene expression landscape was constructed by integrating the correlations from the subsets of data and was compared to the equivalent landscape for bovine LM muscle. Whilst at the high level apparently equivalent modules were identified in the two species, at the detailed level overlap between genes in the equivalent modules was limited and generally not significant. Indeed, only 395 genes and 18 edges were in common between the two landscapes. Conclusions Since it is unlikely that the equivalent muscles of two closely related species are as different as this analysis suggests, within tissue gene expression correlations appear to be very sensitive to the samples chosen for their construction, compounded by the different platforms used. Thus users need to be very cautious in interpretation of the differences. In future experiments, attention will be required to ensure equivalent experimental designs and use cross-species gene expression platform to enable the identification of true differences between different species.
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Affiliation(s)
- Wei Sun
- Animal Science and Technology College, Yangzhou University, Yangzhou 225009, China
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23
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Tellam RL, Cockett NE, Vuocolo T, Bidwell CA. Genes contributing to genetic variation of muscling in sheep. Front Genet 2012; 3:164. [PMID: 22952470 PMCID: PMC3429854 DOI: 10.3389/fgene.2012.00164] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2012] [Accepted: 08/10/2012] [Indexed: 12/24/2022] Open
Abstract
Selective breeding programs aiming to increase the productivity and profitability of the sheep meat industry use elite, progeny tested sires. The broad genetic traits of primary interest in the progeny of these sires include skeletal muscle yield, fat content, eating quality, and reproductive efficiency. Natural mutations in sheep that enhance muscling have been identified, while a number of genome scans have identified and confirmed quantitative trait loci (QTL) for skeletal muscle traits. The detailed phenotypic characteristics of sheep carrying these mutations or QTL affecting skeletal muscle show a number of common biological themes, particularly changes in developmental growth trajectories, alterations of whole animal morphology, and a shift toward fast twitch glycolytic fibers. The genetic, developmental, and biochemical mechanisms underpinning the actions of some of these genetic variants are described. This review critically assesses this research area, identifies gaps in knowledge, and highlights mechanistic linkages between genetic polymorphisms and skeletal muscle phenotypic changes. This knowledge may aid the discovery of new causal genetic variants and in some cases lead to the development of biochemical and immunological strategies aimed at enhancing skeletal muscle.
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Affiliation(s)
- Ross L Tellam
- Division of Animal, Food and Health Sciences, Commonwealth Scientific and Industrial Research Organisation St Lucia, QLD, Australia
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24
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Kogelman LJA, Byrne K, Vuocolo T, Watson-Haigh NS, Kadarmideen HN, Kijas JW, Oddy HV, Gardner GE, Gondro C, Tellam RL. Genetic architecture of gene expression in ovine skeletal muscle. BMC Genomics 2011; 12:607. [PMID: 22171619 PMCID: PMC3265547 DOI: 10.1186/1471-2164-12-607] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2011] [Accepted: 12/15/2011] [Indexed: 01/15/2023] Open
Abstract
Background In livestock populations the genetic contribution to muscling is intensively monitored in the progeny of industry sires and used as a tool in selective breeding programs. The genes and pathways conferring this genetic merit are largely undefined. Genetic variation within a population has potential, amongst other mechanisms, to alter gene expression via cis- or trans-acting mechanisms in a manner that impacts the functional activities of specific pathways that contribute to muscling traits. By integrating sire-based genetic merit information for a muscling trait with progeny-based gene expression data we directly tested the hypothesis that there is genetic structure in the gene expression program in ovine skeletal muscle. Results The genetic performance of six sires for a well defined muscling trait, longissimus lumborum muscle depth, was measured using extensive progeny testing and expressed as an Estimated Breeding Value by comparison with contemporary sires. Microarray gene expression data were obtained for longissimus lumborum samples taken from forty progeny of the six sires (4-8 progeny/sire). Initial unsupervised hierarchical clustering analysis revealed strong genetic architecture to the gene expression data, which also discriminated the sire-based Estimated Breeding Value for the trait. An integrated systems biology approach was then used to identify the major functional pathways contributing to the genetics of enhanced muscling by using both Estimated Breeding Value weighted gene co-expression network analysis and a differential gene co-expression network analysis. The modules of genes revealed by these analyses were enriched for a number of functional terms summarised as muscle sarcomere organisation and development, protein catabolism (proteosome), RNA processing, mitochondrial function and transcriptional regulation. Conclusions This study has revealed strong genetic structure in the gene expression program within ovine longissimus lumborum muscle. The balance between muscle protein synthesis, at the levels of both transcription and translation control, and protein catabolism mediated by regulated proteolysis is likely to be the primary determinant of the genetic merit for the muscling trait in this sheep population. There is also evidence that high genetic merit for muscling is associated with a fibre type shift toward fast glycolytic fibres. This study provides insight into mechanisms, presumably subject to strong artificial selection, that underpin enhanced muscling in sheep populations.
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Affiliation(s)
- Lisette J A Kogelman
- CSIRO Livestock Industries, ATSIP, PMB CSIRO Aitkenvale, Townsville, QLD 4814, Australia
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