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Cerebellum (London, England)2016; 16(2); 462-472; doi: 10.1007/s12311-016-0823-8

Defining Trends in Global Gene Expression in Arabian Horses with Cerebellar Abiotrophy.

Abstract: Equine cerebellar abiotrophy (CA) is a hereditary neurodegenerative disease that affects the Purkinje neurons of the cerebellum and causes ataxia in Arabian foals. Signs of CA are typically first recognized either at birth to any time up to 6 months of age. CA is inherited as an autosomal recessive trait and is associated with a single nucleotide polymorphism (SNP) on equine chromosome 2 (13074277G>A), located in the fourth exon of TOE1 and in proximity to MUTYH on the antisense strand. We hypothesize that unraveling the functional consequences of the CA SNP using RNA-seq will elucidate the molecular pathways underlying the CA phenotype. RNA-seq (100 bp PE strand-specific) was performed in cerebellar tissue from four CA-affected and five age-matched unaffected horses. Three pipelines for differential gene expression (DE) analysis were used (Tophat2/Cuffdiff2, Kallisto/EdgeR, and Kallisto/Sleuth) with 151 significant DE genes identified by all three pipelines in CA-affected horses. TOE1 (Log2(foldchange) = 0.92, p = 0.66) and MUTYH (Log2(foldchange) = 1.13, p = 0.66) were not differentially expressed. Among the major pathways that were differentially expressed, genes associated with calcium homeostasis and specifically expressed in Purkinje neurons, CALB1 (Log2(foldchange) = -1.7, p < 0.01) and CA8 (Log2(foldchange) = -0.97, p < 0.01), were significantly down-regulated, confirming loss of Purkinje neurons. There was also a significant up-regulation of markers for microglial phagocytosis, TYROBP (Log2(foldchange) = 1.99, p < 0.01) and TREM2 (Log2(foldchange) = 2.02, p < 0.01). These findings reaffirm a loss of Purkinje neurons in CA-affected horses along with a potential secondary loss of granular neurons and activation of microglial cells.
Publication Date: 2016-10-07 PubMed ID: 27709457PubMed Central: PMC5336519DOI: 10.1007/s12311-016-0823-8Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This study focuses on understanding the genetic cause of cerebellar abiotrophy (CA), a degenerative neurological disease in Arabian horses, by examining genes on chromosome 2 and their functions using RNA-seq technology.

Overview of Cerebellar Abiotrophy

  • Equine cerebellar abiotrophy (CA) is a genetic disease that primarily affects Arabian horses. This hereditary disorder leads to the degeneration of a type of neuron called the Purkinje neurons located in the cerebellum, causing a lack of coordinated movements (ataxia) in foals. The symptoms are usually identifiable at birth or within six months.
  • CA is an autosomal recessive disease, meaning both parents must carry a copy of the mutated gene to pass it on to their offspring. Previous studies have linked CA to a mutation (single nucleotide polymorphism, SNP), on the horse’s second chromosome.

Aim of the Research and Methodology

  • The goal of the research was to investigate the genetic basis of CA with a focus on the functional consequences of the identified SNP using RNA sequencing (RNA-seq).
  • The researchers performed RNA-seq on cerebellar tissue samples from four horses affected by CA and five unaffected horses. Three separate data analysis pipelines were utilized to identify differential gene expression.

Key Findings

  • 151 genes were identified with significantly different expression levels in the CA-affected horses across all three data analysis pipelines.
  • The researchers found that the genes TOE1 and MUTYH associated with the SNP were not differentially expressed.
  • Significant downregulation was found in CALB1 and CA8, both genes associated with calcium homeostasis and specifically expressed in Purkinje neurons. This supports the observation of Purkinje neuron loss in CA.
  • Markers for microglial phagocytosis (a function of the brain’s immune cells), TYROBP and TREM2, were significantly upregulated, suggesting increased activation of microglial cells and potentially a secondary loss of other neuron types.

Implications

  • The outcomes of this research provide more detailed insight into the molecular pathways involved in CA. While the mutation-associated genes TOE1 and MUTYH were not differentially expressed, the data revealed other genes and biological processes critical to the disease.
  • The differential expression of genes related to Purkinje neurons’ function and the activation of microglial cells suggest a complex pathology for CA that involves not only a loss of specific neuron types but also other processes such as immune response.

Cite This Article

APA
Scott EY, Penedo MCT, Murray JD, Finno CJ. (2016). Defining Trends in Global Gene Expression in Arabian Horses with Cerebellar Abiotrophy. Cerebellum, 16(2), 462-472. https://doi.org/10.1007/s12311-016-0823-8

Publication

ISSN: 1473-4230
NlmUniqueID: 101089443
Country: United States
Language: English
Volume: 16
Issue: 2
Pages: 462-472

Researcher Affiliations

Scott, E Y
  • Department of Animal Science, University of California, Davis, USA.
Penedo, M C T
  • Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, USA.
  • Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, USA.
Murray, J D
  • Department of Animal Science, University of California, Davis, USA. JDMurray@ucdavis.edu.
  • Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, USA. JDMurray@ucdavis.edu.
Finno, C J
  • Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, USA. cjfinno@ucdavis.edu.

MeSH Terms

  • Animals
  • Cerebellum / growth & development
  • Cerebellum / metabolism
  • Cluster Analysis
  • DNA Glycosylases / genetics
  • DNA Glycosylases / metabolism
  • Female
  • Gene Expression
  • Heredodegenerative Disorders, Nervous System / genetics
  • Heredodegenerative Disorders, Nervous System / metabolism
  • Heredodegenerative Disorders, Nervous System / veterinary
  • Horse Diseases / genetics
  • Horse Diseases / metabolism
  • Horses
  • Male
  • Polymerase Chain Reaction
  • Polymorphism, Single Nucleotide
  • Transcriptome
  • Unsupervised Machine Learning

Grant Funding

  • K01 OD015134 / NIH HHS
  • L40 TR001136 / NCATS NIH HHS

Conflict of Interest Statement

Conflict of Interest. The authors declare that they have no conflict of interest.

References

This article includes 56 references
  1. de Lahunta A. Abiotrophy in domestic animals: a review.. Can J Vet Res 1990;54(1):65–76.
    pmc: PMC1255608pubmed: 2407332
  2. Koehler JW, Newcomer BW, Holland M, Caldwell JM. A Novel Inherited Cerebellar Abiotrophy in a Cohort of Related Goats.. J Comp Pathol 2015;153(2–3):135–9.
    pubmed: 26184806
  3. Sato J, Yamada N, Kobayashi R, Tsuchitani M, Kobayashi Y. Morphometric analysis of progressive changes in hereditary cerebellar cortical degenerative disease (abiotrophy) in rabbits caused by abnormal synaptogenesis.. J Toxicol Pathol 2015;28(2):73–8.
    pmc: PMC4444505pubmed: 26028816
  4. Shearman JR, Cook RW, McCowan C, Fletcher JL, Taylor RM, Wilton AN. Mapping cerebellar abiotrophy in Australian Kelpies.. Anim Genet 2011;42(6):675–8.
    pubmed: 22035013
  5. DeBowes RM, Leipold HW, Turner-Beatty M. Cerebellar abiotrophy.. Vet Clin North Am Equine Pract 1987;3(2):345–52.
    pubmed: 3497695
  6. Blanco A, Moyano R, Vivo J, Flores-Acuna R, Molina A, Blanco C. Purkinje cell apoptosis in arabian horses with cerebellar abiotrophy.. J Vet Med A Physiol Pathol Clin Med 2006;53(6):286–7.
    pubmed: 16901270
  7. Cavalleri JM, Metzger J, Hellige M, Lampe V, Stuckenschneider K, Tipold A. Morphometric magnetic resonance imaging and genetic testing in cerebellar abiotrophy in Arabian horses.. BMC Vet Res 2013;9:105.
    pmc: PMC3671216pubmed: 23702154
  8. Palmer AC, Blakemore WF, Cook WR, Platt H, Whitwell KE. Cerebellar hypoplasia and degeneration in the young Arab horse: clinical and neuropathological features.. Vet Rec 1973;93(3):62–6.
    pubmed: 4748678
  9. Brault LS, Cooper CA, Famula TR, Murray JD, Penedo MC. Mapping of equine cerebellar abiotrophy to ECA2 and identification of a potential causative mutation affecting expression of MUTYH.. Genomics 2011;97(2):121–9.
    pubmed: 21126570
  10. Brault LS, Famula TR, Penedo MC. Inheritance of cerebellar abiotrophy in Arabians.. Am J Vet Res 2011;72(7):940–4.
    pubmed: 21728855
  11. Wagner E, Clement SL, Lykke-Andersen J. An unconventional human Ccr4-Caf1 deadenylase complex in nuclear cajal bodies.. Mol Cell Biol 2007;27(5):1686–95.
    pmc: PMC1820451pubmed: 17178830
  12. Zheng D, Ezzeddine N, Chen CY, Zhu W, He X, Shyu AB. Deadenylation is prerequisite for P-body formation and mRNA decay in mammalian cells.. J Cell Biol 2008;182(1):89–101.
    pmc: PMC2447901pubmed: 18625844
  13. Machyna M, Heyn P, Neugebauer KM. Cajal bodies: where form meets function.. Wiley Interdiscip Rev RNA 2013;4(1):17–34.
    pubmed: 23042601
  14. Parker R, Sheth U. P bodies and the control of mRNA translation and degradation.. Mol Cell 2007;25(5):635–46.
    pubmed: 17349952
  15. Cougot N, Bhattacharyya SN, Tapia-Arancibia L, Bordonne R, Filipowicz W, Bertrand E. Dendrites of mammalian neurons contain specialized P-body-like structures that respond to neuronal activation.. J Neurosci 2008;28(51):13793–804.
    pmc: PMC6671906pubmed: 19091970
  16. Baltanas FC, Casafont I, Weruaga E, Alonso JR, Berciano MT, Lafarga M. Nucleolar disruption and cajal body disassembly are nuclear hallmarks of DNA damage-induced neurodegeneration in purkinje cells.. Brain Pathol 2011;21(4):374–88.
    pmc: PMC8094285pubmed: 21054627
  17. Oka S, Ohno M, Tsuchimoto D, Sakumi K, Furuichi M, Nakabeppu Y. Two distinct pathways of cell death triggered by oxidative damage to nuclear and mitochondrial DNAs.. EMBO J 2008;27(2):421–32.
    pmc: PMC2234344pubmed: 18188152
  18. Lee HM, Hu Z, Ma H, Greeley GH Jr, Wang C, Englander EW. Developmental changes in expression and subcellular localization of the DNA repair glycosylase, MYH, in the rat brain.. J Neurochem 2004;88(2):394–400.
    pubmed: 14690527
  19. Sheng Z, Oka S, Tsuchimoto D, Abolhassani N, Nomaru H, Sakumi K. 8-Oxoguanine causes neurodegeneration during MUTYH-mediated DNA base excision repair.. J Clin Invest 2012;122(12):4344–61.
    pmc: PMC3533558pubmed: 23143307
  20. Plotz G, Casper M, Raedle J, Hinrichsen I, Heckel V, Brieger A. MUTYH gene expression and alternative splicing in controls and polyposis patients.. Hum Mutat 2012;33(7):1067–74.
    pubmed: 22473953
  21. Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis.. BMC Bioinformatics 2008;9:559.
    pmc: PMC2631488pubmed: 19114008
  22. Wu D, Lim E, Vaillant F, Asselin-Labat ML, Visvader JE, Smyth GK. ROAST: rotation gene set tests for complex microarray experiments.. Bioinformatics 2010;26(17):2176–82.
    pmc: PMC2922896pubmed: 20610611
  23. Okazaki Y, Furuno M, Kasukawa T, Adachi J, Bono H, Kondo S. Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.. Nature 2002;420(6915):563–73.
    pubmed: 12466851
  24. Joshi NAJNF. Sickle: A sliding-window, adaptive, quality-based trimming tool for FastQ files.. 2011 [cited (Version 1.33)].
  25. Kim D, Pertea G, Trapnell C, Pimentel H, Kelley R, Salzberg SL. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.. Genome Biol 2013;14(4):R36.
    pmc: PMC4053844pubmed: 23618408
  26. Bray N, Pimentel H, Melsted P, Pachter Lior. Near-optimal RNA-Seq quantification.. 2015 arXiv:1505.02710.
    pubmed: 27043002
  27. Trapnell C, Hendrickson DG, Sauvageau M, Goff L, Rinn JL, Pachter L. Differential analysis of gene regulation at transcript resolution with RNA-seq.. Nat Biotechnol 2013;31(1):46–53.
    pmc: PMC3869392pubmed: 23222703
  28. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.. Bioinformatics 2010;26(1):139–40.
    pmc: PMC2796818pubmed: 19910308
  29. Team RDC. R: A language and environment for statistical computing.. Vienna, Austria: R Foundation for Statistcal Computing; 2010.
  30. Kuhn A, Kumar A, Beilina A, Dillman A, Cookson MR, Singleton AB. Cell population-specific expression analysis of human cerebellum.. BMC Genomics 2012;13:610.
    pmc: PMC3561119pubmed: 23145530
  31. Kirsch L, Liscovitch N, Chechik G. Localizing genes to cerebellar layers by classifying ISH images.. PLoS Comput Biol 2012;8(12):e1002790.
    pmc: PMC3527225pubmed: 23284274
  32. Bettencourt C, Ryten M, Forabosco P, Schorge S, Hersheson J, Hardy J. Insights from cerebellar transcriptomic analysis into the pathogenesis of ataxia.. JAMA Neurol 2014;71(7):831–9.
    pmc: PMC4469030pubmed: 24862029
  33. Mi H, Poudel S, Muruganujan A, Casagrande JT, Thomas PD. PANTHER version 10: expanded protein families and functions, and analysis tools.. Nucleic Acids Res 2016;44(D1):D336–42.
    pmc: PMC4702852pubmed: 26578592
  34. Mi H, Muruganujan A, Casagrande JT, Thomas PD. Large-scale gene function analysis with the PANTHER classification system.. Nat Protoc 2013;8(8):1551–66.
    pmc: PMC6519453pubmed: 23868073
  35. D’Souza CA, Chopra V, Varhol R, Xie YY, Bohacec S, Zhao Y. Identification of a set of genes showing regionally enriched expression in the mouse brain.. BMC Neurosci 2008;9:66.
    pmc: PMC2483290pubmed: 18625066
  36. Shen EH, Overly CC, Jones AR. The Allen Human Brain Atlas: comprehensive gene expression mapping of the human brain.. Trends Neurosci 2012;35(12):711–4.
    pubmed: 23041053
  37. Biolatti C, Gianella P, Capucchio MT, Borrelli A, D’Angelo A. Late onset and rapid progression of cerebellar abiotrophy in a domestic shorthair cat.. J Small Anim Pract 2010;51(2):123–6.
    pubmed: 20136999
  38. Forman OP, De Risio L, Matiasek K, Platt S, Mellersh C. Spinocerebellar ataxia in the Italian Spinone dog is associated with an intronic GAA repeat expansion in ITPR1.. Mamm Genome 2015;26(1–2):108–17.
    pmc: PMC4305091pubmed: 25354648
  39. Sato J, Sasaki S, Yamada N, Tsuchitani M. Hereditary cerebellar degenerative disease (cerebellar cortical abiotrophy) in rabbits.. Vet Pathol 2012;49(4):621–8.
    pubmed: 21646443
  40. Whittington RJ, Morton AG, Kennedy DJ. Cerebellar abiotrophy in crossbred cattle.. Aust Vet J 1989;66(1):12–5.
    pubmed: 2930387
  41. Forabosco P, Ramasamy A, Trabzuni D, Walker R, Smith C, Bras J. Insights into TREM2 biology by network analysis of human brain gene expression data.. Neurobiol Aging 2013;34(12):2699–714.
    pmc: PMC3988951pubmed: 23855984
  42. Block ML, Hong JS. Microglia and inflammation-mediated neurodegeneration: multiple triggers with a common mechanism.. Prog Neurobiol 2005;76(2):77–98.
    pubmed: 16081203
  43. Cvetanovic M, Ingram M, Orr H, Opal P. Early activation of microglia and astrocytes in mouse models of spinocerebellar ataxia type 1.. Neuroscience 2015;289:289–99.
    pmc: PMC4344857pubmed: 25595967
  44. Guillot-Sestier MV, Doty KR, Gate D, Rodriguez J Jr, Leung BP, Rezai-Zadeh K. Il10 deficiency rebalances innate immunity to mitigate Alzheimer-like pathology.. Neuron 2015;85(3):534–48.
    pmc: PMC4352138pubmed: 25619654
  45. FLE, Tirolo C, Testa N, Caniglia S, Morale MC, Marchetti B. Glia as a turning point in the therapeutic strategy of Parkinson’s disease.. CNS Neurol Disord Drug Targets 2010;9(3):349–72.
    pubmed: 20438439
  46. Sultan M, Amstislavskiy V, Risch T, Schuette M, Dokel S, Ralser M. Influence of RNA extraction methods and library selection schemes on RNA-seq data.. BMC Genomics 2014;15:675.
    pmc: PMC4148917pubmed: 25113896
  47. Papadimitriou D, Le Verche V, Jacquier A, Ikiz B, Przedborski S, Re DB. Inflammation in ALS and SMA: sorting out the good from the evil.. Neurobiol Dis 2010;37(3):493–502.
    pmc: PMC2823924pubmed: 19833209
  48. Kaya N, Aldhalaan H, Al-Younes B, Colak D, Shuaib T, Al-Mohaileb F. Phenotypical spectrum of cerebellar ataxia associated with a novel mutation in the CA8 gene, encoding carbonic anhydrase (CA) VIII.. Am J Med Genet B Neuropsychiatr Genet 2011;156B(7):826–34.
    pubmed: 21812104
  49. Hirota J, Ando H, Hamada K, Mikoshiba K. Carbonic anhydrase-related protein is a novel binding protein for inositol 1,4,5-trisphosphate receptor type 1.. Biochem J 2003;372(Pt 2):435–41.
    pmc: PMC1223404pubmed: 12611586
  50. Okubo Y, Suzuki J, Kanemaru K, Nakamura N, Shibata T, Iino M. Visualization of Ca2+ Filling Mechanisms upon Synaptic Inputs in the Endoplasmic Reticulum of Cerebellar Purkinje Cells.. J Neurosci 2015;35(48):15837–46.
    pmc: PMC6605451pubmed: 26631466
  51. Paxinos G, Science E. The Rat Nervous System.. 4. Burlington: Elsevier Science; 2014. Cerebellum and Cerebellar Connections; p. 1053.
  52. Anderson WA, Flumerfelt BA. Long-term effects of parallel fiber loss in the cerebellar cortex of the adult and weanling rat.. Brain Res 1986;383(1–2):245–61.
    pubmed: 3768691
  53. Neuman T, Keen A, Zuber MX, Kristjansson GI, Gruss P, Nornes HO. Neuronal expression of regulatory helix-loop-helix factor Id2 gene in mouse.. Dev Biol 1993;160(1):186–95.
    pubmed: 8224536
  54. Sullivan JM, Havrda MC, Kettenbach AN, Paolella BR, Zhang Z, Gerber SA. Phosphorylation Regulates Id2 Degradation and Mediates the Proliferation of Neural Precursor Cells.. Stem Cells 2016;34(5):1321–31.
    pmc: PMC5024556pubmed: 26756672
  55. Cho DH, Hong YM, Lee HJ, Woo HN, Pyo JO, Mak TW. Induced inhibition of ischemic/hypoxic injury by APIP, a novel Apaf-1-interacting protein.. J Biol Chem 2004;279(38):39942–50.
    pubmed: 15262985
  56. Ko DC, Gamazon ER, Shukla KP, Pfuetzner RA, Whittington D, Holden TD. Functional genetic screen of human diversity reveals that a methionine salvage enzyme regulates inflammatory cell death.. Proc Natl Acad Sci U S A 2012;109(35):E2343–52.
    pmc: PMC3435171pubmed: 22837397

Citations

This article has been cited 5 times.
  1. Giron C, Hélie P, Parent J, Boutin M, St-Jean G. Clinical, imaging and histopathological characterization of a series of three cats with cerebellar cortical degeneration. BMC Vet Res 2024 Jun 19;20(1):263.
    doi: 10.1186/s12917-024-04127-3pubmed: 38890680google scholar: lookup
  2. Scott EY, Woolard KD, Finno CJ, Murray JD. Cerebellar Abiotrophy Across Domestic Species. Cerebellum 2018 Jun;17(3):372-379.
    doi: 10.1007/s12311-017-0914-1pubmed: 29294214google scholar: lookup
  3. Aleman M, Finno CJ, Weich K, Penedo MCT. Investigation of Known Genetic Mutations of Arabian Horses in Egyptian Arabian Foals with Juvenile Idiopathic Epilepsy. J Vet Intern Med 2018 Jan;32(1):465-468.
    doi: 10.1111/jvim.14873pubmed: 29171123google scholar: lookup
  4. Scott EY, Woolard KD, Finno CJ, Penedo MCT, Murray JD. Variation in MUTYH expression in Arabian horses with Cerebellar Abiotrophy. Brain Res 2018 Jan 1;1678:330-336.
  5. Mansour TA, Scott EY, Finno CJ, Bellone RR, Mienaltowski MJ, Penedo MC, Ross PJ, Valberg SJ, Murray JD, Brown CT. Tissue resolved, gene structure refined equine transcriptome. BMC Genomics 2017 Jan 20;18(1):103.
    doi: 10.1186/s12864-016-3451-2pubmed: 28107812google scholar: lookup