Quantitative trait locus mapping identifies a locus linked to striatal dopamine and points to collagen IV alpha-6 chain as a novel regulator of striatal axonal branching in mice.


Journal

Genes, brain, and behavior
ISSN: 1601-183X
Titre abrégé: Genes Brain Behav
Pays: England
ID NLM: 101129617

Informations de publication

Date de publication:
11 2021
Historique:
revised: 09 08 2021
received: 09 04 2021
accepted: 25 08 2021
pubmed: 29 8 2021
medline: 11 3 2022
entrez: 28 8 2021
Statut: ppublish

Résumé

Dopaminergic neurons (DA neurons) are controlled by multiple factors, many involved in neurological disease. Parkinson's disease motor symptoms are caused by the demise of nigral DA neurons, leading to loss of striatal dopamine (DA). Here, we measured DA concentration in the dorsal striatum of 32 members of Collaborative Cross (CC) family and their eight founder strains. Striatal DA varied greatly in founders, and differences were highly heritable in the inbred CC progeny. We identified a locus, containing 164 genes, linked to DA concentration in the dorsal striatum on chromosome X. We used RNAseq profiling of the ventral midbrain of two founders with substantial difference in striatal DA-C56BL/6 J and A/J-to highlight potential protein-coding candidates modulating this trait. Among the five differentially expressed genes within the locus, we found that the gene coding for the collagen IV alpha 6 chain (Col4a6) was expressed nine times less in A/J than in C57BL/6J. Using single cell RNA-seq data from developing human midbrain, we found that COL4A6 is highly expressed in radial glia-like cells and neuronal progenitors, indicating a role in neuronal development. Collagen IV alpha-6 chain (COL4A6) controls axogenesis in simple model organisms. Consistent with these findings, A/J mice had less striatal axonal branching than C57BL/6J mice. We tentatively conclude that DA concentration and axonal branching in dorsal striatum are modulated by COL4A6, possibly during development. Our study shows that genetic mapping based on an easily measured Central Nervous System (CNS) trait, using the CC population, combined with follow-up observations, can parse heritability of such a trait, and nominate novel functions for commonly expressed proteins.

Identifiants

pubmed: 34453370
doi: 10.1111/gbb.12769
doi:

Substances chimiques

Col4a6 protein, mouse 0
Collagen Type IV 0
Dopamine VTD58H1Z2X

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e12769

Informations de copyright

© 2021 The Authors. Genes, Brain and Behavior published by International Behavioural and Neural Genetics Society and John Wiley & Sons Ltd.

Références

Hassan A, Benarroch EE. Heterogeneity of the midbrain dopamine system: implications for Parkinson disease. Neurology. 2015;85:1795-1805.
Vogt Weisenhorn DM, Giesert F, Wurst W. Diversity matters - heterogeneity of dopaminergic neurons in the ventral mesencephalon and its relation to Parkinson's disease. J Neurochem. 2016;139(suppl 1):8-26.
Del Rey NL-G, Quiroga-Varela A, Garbayo E, et al. Advances in Parkinson's disease: 200 years later. Front Neuroanat. 2018;12:113.
Gilgun-Sherki Y, Djaldetti R, Melamed E, Offen D. Polymorphism in candidate genes: implications for the risk and treatment of idiopathic Parkinson's disease. Pharmacogenomics J. 2004;4:291-306.
Jankovic J, McDermott M, Carter J, et al. Variable expression of Parkinson's disease: a base-line analysis of the DATATOP cohort. Parkinson Study Group Neurol. 1990;40:1529-1534. https://doi.org/10.1212/WNL.40.10.1529
van Rooden SM, Colas F, Martínez-Martín P, et al. Clinical subtypes of Parkinson's disease. Mov Disord. 2011;26:51-58.
Kalinderi K, Fidani L, Katsarou Z, Bostantjopoulou S. Pharmacological treatment and the prospect of pharmacogenetics in Parkinson's disease. Int J Clin Pract. 2011;65:1289-1294.
Kaplan N, Vituri A, Korczyn AD, et al. Sequence variants in SLC6A3, DRD2, and BDNF genes and time to levodopa-induced dyskinesias in Parkinson's disease. J Mol Neurosci. 2014;53:183-188.
Klafke R, Wurst W, Prakash N. Genetic control of rodent midbrain dopaminergic neuron development in the light of human disease. Pharmacopsychiatry. 2008;41(suppl 1):S44-S50.
Nadeau JH, Auwerx J. The virtuous cycle of human genetics and mouse models in drug discovery. Nat Rev Drug Discov. 2019;18:255-272.
Baker H, Joh TH, Reis DJ. Genetic control of number of midbrain dopaminergic neurons in inbred strains of mice: relationship to size and neuronal density of the striatum. Proc Natl Acad Sci U S A. 1980;77:4369-4373.
Cabib S, Puglisi-Allegra S, Ventura R. The contribution of comparative studies in inbred strains of mice to the understanding of the hyperactive phenotype. Behav Brain Res. 2002;130:103-109.
Vadasz C, Sziraki I, Sasvari M, et al. Analysis of the mesotelencephalic dopamine system by quantitative-trait locus introgression. Neurochem Res. 1998;23:1337-1354.
Vadász C, Sziráki I, Murthy LR, et al. Genetic determination of mesencephalic tyrosine hydroxylase activity in the mouse. J Neurogenet. 1987;4:241-252.
Zaborszky L, Vadasz C. The midbrain dopaminergic system: anatomy and genetic variation in dopamine neuron number of inbred mouse strains. Behav Genet. 2001;31:47-59.
Brooks SP, Pask T, Jones L, Dunnett SB. Behavioural profiles of inbred mouse strains used as transgenic backgrounds. I: motor tests. Genes Brain Behav. 2004;3:206-215.
Hamre K, Tharp R, Poon K, Xiong X, Smeyne RJ. Differential strain susceptibility following 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) administration acts in an autosomal dominant fashion: quantitative analysis in seven strains of Mus musculus. Brain Res. 1999;828:91-103.
Ingram DK, London ED, Reynolds MA, Waller SB, Goodrick CL. Differential effects of age on motor performance in two mouse strains. Neurobiol Aging. 1981;2:221-227.
de Jong S, Fuller TF, Janson E, et al. Gene expression profiling in C57BL/6J and a/J mouse inbred strains reveals gene networks specific for brain regions independent of genetic background. BMC Genomics. 2010;11:20.
Peters LL, Robledo RF, Bult CJ, Churchill GA, Paigen BJ, Svenson KL. The mouse as a model for human biology: a resource guide for complex trait analysis. Nat Rev Genet. 2007;8:58-69.
Churchill GA, Airey DC, Allayee H, et al. The collaborative cross, a community resource for the genetic analysis of complex traits. Nat Genet. 2004;36:1133-1137.
La Manno G, Gyllborg D, Codeluppi S, et al. Molecular diversity of midbrain development in mouse, human, and stem cells. Cell. 2016;167:566-580.e19.
Mirre C, Le Parco Y, Knibiehler B. Collagen IV is present in the developing CNS during drosophila neurogenesis. J Neurosci Res. 1992;31:146-155.
Takeuchi M, Yamaguchi S, Yonemura S, et al. Type IV collagen controls the Axogenesis of cerebellar granule cells by regulating basement membrane integrity in zebrafish. PLoS Genet. 2015;11:e1005587.
Gui Y, Thomas MH, Garcia P, et al. Pituitary tumor transforming gene 1 orchestrates gene regulatory variation in mouse ventral midbrain during aging. Front Genet. 2020;11:566734.
Karunakaran S, Diwakar L, Saeed U, et al. Activation of apoptosis signal regulating kinase 1 (ASK1) and translocation of death-associated protein, Daxx, in substantia nigra pars compacta in a mouse model of Parkinson's disease: protection by alpha-lipoic acid. FASEB J. 2007;21:2226-2236.
Sarsani VK, Raghupathy N, Fiddes IT, et al. The genome of C57BL/6J “eve”, the mother of the laboratory mouse genome reference strain. G3 (Bethesda). 2019;9:1795-1805.
Jaeger C, Glaab E, Michelucci A, et al. The mouse brain metabolome: region-specific signatures and response to excitotoxic neuronal injury. Am J Pathol. 2015;185:1699-1712.
Jäger C, Hiller K, Buttini M. Metabolic profiling and quantification of neurotransmitters in mouse brain by gas chromatography-mass spectrometry. Curr Protoc Mouse Biol. 2016;6:333-342.
Schindelin J, Arganda-Carreras I, Frise E, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9:676-682.
Masliah E, Rockenstein E, Veinbergs I, et al. Dopaminergic loss and inclusion body formation in alpha-synuclein mice: implications for neurodegenerative disorders. Science. 2000;287:1265-1269.
Ashrafi A, Garcia P, Kollmus H, et al. Absence of regulator of G-protein signaling 4 does not protect against dopamine neuron dysfunction and injury in the mouse 6-hydroxydopamine lesion model of Parkinson's disease. Neurobiol Aging. 2017;58:30-33.
Schöndorf DC, Aureli M, McAllister FE, et al. iPSC-derived neurons from GBA1-associated Parkinson's disease patients show autophagic defects and impaired calcium homeostasis. Nat Commun. 2014;5:4028.
Reinhardt P, Glatza M, Hemmer K, et al. Derivation and expansion using only small molecules of human neural progenitors for neurodegenerative disease modeling. PLoS ONE. 2013;8:e59252.
Mulligan MK, Mozhui K, Prins P, Williams RW. GeneNetwork: a toolbox for systems genetics. Methods Mol Biol. 2017;1488:75-120.
Sittig LJ, Carbonetto P, Engel KA, Krauss KS, Palmer AA. Integration of genome-wide association and extant brain expression QTL identifies candidate genes influencing prepulse inhibition in inbred F1 mice. Genes Brain Behav. 2016;15(2):260-270.
Gonzales NM, Palmer AA. Fine-mapping QTLs in advanced intercross lines and other outbred populations. Mamm Genome. 2014;25:271-292.
Gonzales NM, Seo J, Hernandez Cordero AI, et al. Genome wide association analysis in a mouse advanced intercross line. Nat Commun. 2018;9:5162.
Parker CC, Gopalakrishnan S, Carbonetto P, et al. Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice. Nat Genet. 2016;48:919-926.
Zhou X, Stephens M. Genome-wide efficient mixed-model analysis for association studies. Nat Genet. 2012;44:821-824.
Ashbrook DG, Arends D, Prins P, et al. A platform for experimental precision medicine: the extended BXD mouse family. Cell Syst. 2021;12:235-247. e9.s.
Belknap JK. Effect of within-strain sample size on QTL detection and mapping using recombinant inbred mouse strains. Behav Genet. 1998;28:29-38.
Philip VM, Sokoloff G, Ackert-Bicknell CL, et al. Genetic analysis in the collaborative cross breeding population. Genome Res. 2011;21:1223-1238.
Schoenrock SA, Oreper D, Farrington J, et al. Perinatal nutrition interacts with genetic background to alter behavior in a parent-of-origin-dependent manner in adult collaborative cross mice. Genes Brain Behav. 2018;17:e12438.
Schoenrock SA, Kumar P, Gómez-A A, et al. Characterization of genetically complex collaborative cross mouse strains that model divergent locomotor activating and reinforcing properties of cocaine. Psychopharmacology (Berl). 2020;237:979-996.
Gepshtein S, Li X, Snider J, Plank M, Lee D, Poizner H. Dopamine function and the efficiency of human movement. J Cogn Neurosci. 2014;26:645-657.
Lein ES, Hawrylycz MJ, Ao N, et al. Genome-wide atlas of gene expression in the adult mouse brain. Nature. 2007;445:168-176.
Ma Y, Hof PR, Grant SC, et al. A three-dimensional digital atlas database of the adult C57BL/6J mouse brain by magnetic resonance microscopy. Neuroscience. 2005;135:1203-1215.
Hegmann JP, Possidente B. Estimating genetic correlations from inbred strains. Behav Genet. 1981;11:103-114.
Kollmus H, Fuchs H, Lengger C, et al. A comprehensive and comparative phenotypic analysis of the collaborative founder strains identifies new and known phenotypes. Mamm Genome. 2020;31:30-48.
Maurano MT, Humbert R, Rynes E, et al. Systematic localization of common disease-associated variation in regulatory DNA. Science. 2012;337:1190-1195.
Gelse K, Pöschl E, Aigner T. Collagens-structure, function, and biosynthesis. Adv Drug Deliv Rev. 2003;55:1531-1546. https://doi.org/10.1016/j.addr.2003.08.002
Ricard-Blum S. The collagen family. Cold Spring Harb Perspect Biol. 2011;3:a004978.
Mao M, Alavi MV, Labelle-Dumais C, Gould DB. Type IV Collagens and Basement Membrane Diseases: Cell Biology and Pathogenic Mechanisms. Curr Top Membr. 2015;76:61-116. https://doi.org/10.1016/bs.ctm.2015.09.002
Carbonetto S, Gruver MM, Turner DC. Nerve fiber growth in culture on fibronectin, collagen, and glycosaminoglycan substrates. J Neurosci. 1983;11:2324-2335.
Ferri ALM, Cavallaro M, Braida D, et al. Sox2 deficiency causes neurodegeneration and impaired neurogenesis in the adult mouse brain. Development. 2004;131:3805-3819.
Berezovsky AD, Poisson LM, Cherba D, et al. Sox2 promotes malignancy in glioblastoma by regulating plasticity and astrocytic differentiation. Neoplasia. 2014;16:193-206. 206.e19-25.
Fang X, Yoon J-G, Li L, et al. The SOX2 response program in glioblastoma multiforme: an integrated ChIP-seq, expression microarray, and microRNA analysis. BMC Genomics. 2011;12:11.
Surmeier DJ. Determinants of dopaminergic neuron loss in Parkinson's disease. FEBS J. 2018;285:3657-3668.
Keele GR, Crouse WL, Kelada SNP, Valdar W. Determinants of QTL mapping power in the realized collaborative cross. G3 (Bethesda). 2019;9:1707-1727.
Chesler EJ. Out of the bottleneck: the diversity outcross and collaborative cross mouse populations in behavioral genetics research. Mamm Genome. 2014;25:3-11.
Saul MC, Philip VM, Reinholdt LG, Chesler EJ. High-diversity mouse populations for complex traits. Trends Genet. 2019;35:501-514.
Vecino E, Kwok JCF. The extracellular matrix in the nervous system: the good and the bad aspects. In: Travascio F, ed. Composition and Function of the Extracellular Matrix in the Human Body. IntechOpen Limited, London: InTech; 2016.
Rutka JT, Apodaca G, Stern R, Rosenblum M. The extracellular matrix of the central and peripheral nervous systems: structure and function. J Neurosurg. 1988;69:155-170.
Chen P, Cescon M, Bonaldo P. The role of collagens in peripheral nerve myelination and function. Mol Neurobiol. 2015;52:216-225.
Lein PJ, Higgins D, Turner DC, Flier LA, Terranova VP. The NC1 domain of type IV collagen promotes axonal growth in sympathetic neurons through interaction with the alpha 1 beta 1 integrin. J Cell Biol. 1991;113:417-428.
Rost S, Bach E, Neuner C, et al. Novel form of X-linked nonsyndromic hearing loss with cochlear malformation caused by a mutation in the type IV collagen gene COL4A6. Eur J Hum Genet. 2014;22:208-215.
Liesi P, Kauppila T. Induction of type IV collagen and other basement-membrane-associated proteins after spinal cord injury of the adult rat may participate in formation of the glial scar. Exp Neurol. 2002;173:31-45.
Li X, Dai J. Bridging the gap with functional collagen scaffolds: tuning endogenous neural stem cells for severe spinal cord injury repair. Biomater Sci. 2018;6:265-271.
Kordower JH, Olanow CW, Dodiya HB, et al. Disease duration and the integrity of the nigrostriatal system in Parkinson's disease. Brain. 2013;136:2419-2431.

Auteurs

Mélanie H Thomas (MH)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.
Luxembourg Centre of Neuropathology (LCNP), Luxembourg.

Yujuan Gui (Y)

Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.

Pierre Garcia (P)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.
Luxembourg Centre of Neuropathology (LCNP), Luxembourg.
National Center of Pathology (NCP), Laboratoire National de Santé (LNS), Dudelange, Luxembourg.

Mona Karout (M)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.

Borja Gomez Ramos (B)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.
Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.

Christian Jaeger (C)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.

Alessandro Michelucci (A)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.
Neuro-Immunology Group, Department of Oncology (DONC), Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg.

Anthoula Gaigneaux (A)

Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.

Heike Kollmus (H)

Department of Infection Genetics, Helmholtz Centre for Infection Research, Braunschweig, Germany.

Arthur Centeno (A)

Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA.

Klaus Schughart (K)

Department of Infection Genetics, Helmholtz Centre for Infection Research, Braunschweig, Germany.
University of Veterinary Medicine Hannover, Hannover, Germany.
Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee, USA.

Rudi Balling (R)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.

Michel Mittelbronn (M)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.
Luxembourg Centre of Neuropathology (LCNP), Luxembourg.
Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.
National Center of Pathology (NCP), Laboratoire National de Santé (LNS), Dudelange, Luxembourg.
Neuro-Immunology Group, Department of Oncology (DONC), Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg.

Joseph H Nadeau (JH)

Pacific Northwest Research Institute, Seattle, Washington, USA.
Maine Medical Center Research Institute, Scarborough, Maine, USA.

Thomas Sauter (T)

Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.

Robert W Williams (RW)

Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA.

Lasse Sinkkonen (L)

Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.

Manuel Buttini (M)

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.
Luxembourg Centre of Neuropathology (LCNP), Luxembourg.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH