Universal nomenclature for oxytocin-vasotocin ligand and receptor families.


Journal

Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462

Informations de publication

Date de publication:
04 2021
Historique:
received: 16 10 2019
accepted: 29 05 2020
entrez: 29 4 2021
pubmed: 30 4 2021
medline: 11 1 2022
Statut: ppublish

Résumé

Oxytocin (OXT; hereafter OT) and arginine vasopressin or vasotocin (AVP or VT; hereafter VT) are neurotransmitter ligands that function through specific receptors to control diverse functions

Identifiants

pubmed: 33911268
doi: 10.1038/s41586-020-03040-7
pii: 10.1038/s41586-020-03040-7
pmc: PMC8081664
doi:

Substances chimiques

Ligands 0
Receptors, Oxytocin 0
Receptors, Vasopressin 0
vasotocin receptor 0
Oxytocin 50-56-6
Vasotocin W6S6URY8OF

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

747-755

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Références

Knobloch, H. S. & Grinevich, V. Evolution of oxytocin pathways in the brain of vertebrates. Front. Behav. Neurosci. 8, 31 (2014).
pubmed: 24592219 pmcid: 3924577 doi: 10.3389/fnbeh.2014.00031
Meyer-Lindenberg, A., Domes, G., Kirsch, P. & Heinrichs, M. Oxytocin and vasopressin in the human brain: social neuropeptides for translational medicine. Nat. Rev. Neurosci. 12, 524–538 (2011).
pubmed: 21852800 doi: 10.1038/nrn3044
Rhie, A. et al. Towards complete and error-free genome assemblies of all vertebrate species. Nature https://doi.org/10.1038/s41586-021-03451-0 (2021).
Jebb, D. et al. Six reference-quality bat genomes reveal evolution of bat adaptations. Nature 583, 578–584 (2020).
pubmed: 32699395 pmcid: 8075899 doi: 10.1038/s41586-020-2486-3
Hoyle, C. H. Neuropeptide families and their receptors: evolutionary perspectives. Brain Res. 848, 1–25 (1999).
pubmed: 10612694 doi: 10.1016/S0006-8993(99)01975-7
Acher, R. & Chauvet, J. Structure, processing and evolution of the neurohypophysial hormone–neurophysin precursors. Biochimie 70, 1197–1207 (1988).
pubmed: 3147712 doi: 10.1016/0300-9084(88)90185-X
Ocampo Daza, D., Lewicka, M. & Larhammar, D. The oxytocin/vasopressin receptor family has at least five members in the gnathostome lineage, inclucing two distinct V2 subtypes. Gen. Comp. Endocrinol. 175, 135–143 (2012).
pubmed: 22057000 doi: 10.1016/j.ygcen.2011.10.011
Yamaguchi, Y. et al. The fifth neurohypophysial hormone receptor is structurally related to the V2-type receptor but functionally similar to V1-type receptors. Gen. Comp. Endocrinol. 178, 519–528 (2012).
pubmed: 22809669 doi: 10.1016/j.ygcen.2012.07.008
Lagman, D. et al. The vertebrate ancestral repertoire of visual opsins, transducin alpha subunits and oxytocin/vasopressin receptors was established by duplication of their shared genomic region in the two rounds of early vertebrate genome duplications. BMC Evol. Biol. 13, 238 (2013).
pubmed: 24180662 pmcid: 3826523 doi: 10.1186/1471-2148-13-238
Mayasich, S. A. & Clarke, B. L. The emergence of the vasopressin and oxytocin hormone receptor gene family lineage: clues from the characterization of vasotocin receptors in the sea lamprey (Petromyzon marinus). Gen. Comp. Endocrinol. 226, 88–101 (2016).
pubmed: 26764211 doi: 10.1016/j.ygcen.2016.01.001
Jaillon, O. et al. Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype. Nature 431, 946–957 (2004).
pubmed: 15496914 doi: 10.1038/nature03025
Hubley, R. et al. The Dfam database of repetitive DNA families. Nucleic Acids Res. 44, D81–D89 (2016).
pubmed: 26612867 doi: 10.1093/nar/gkv1272
Gwee, P. C., Tay, B. H., Brenner, S. & Venkatesh, B. Characterization of the neurohypophysial hormone gene loci in elephant shark and the Japanese lamprey: origin of the vertebrate neurohypophysial hormone genes. BMC Evol. Biol. 9, 47 (2009).
pubmed: 19243634 pmcid: 2656470 doi: 10.1186/1471-2148-9-47
Smith, J. J. et al. The sea lamprey germline genome provides insights into programmed genome rearrangement and vertebrate evolution. Nat. Genet. 50, 270–277 (2018).
pubmed: 29358652 pmcid: 5805609 doi: 10.1038/s41588-017-0036-1
Kawada, T., Sekiguchi, T., Itoh, Y., Ogasawara, M. & Satake, H. Characterization of a novel vasopressin/oxytocin superfamily peptide and its receptor from an ascidian, Ciona intestinalis. Peptides 29, 1672–1678 (2008).
pubmed: 18586058 doi: 10.1016/j.peptides.2008.05.030
Garrison, J. L. et al. Oxytocin/vasopressin-related peptides have an ancient role in reproductive behavior. Science 338, 540–543 (2012).
pubmed: 23112335 pmcid: 3597094 doi: 10.1126/science.1226201
Liutkeviciute, Z., Koehbach, J., Eder, T., Gil-Mansilla, E. & Gruber, C. W. Global map of oxytocin/vasopressin-like neuropeptide signalling in insects. Sci. Rep. 6, 39177 (2016).
pubmed: 27958372 pmcid: 5153645 doi: 10.1038/srep39177
Roch, G. J., Tello, J. A. & Sherwood, N. M. At the transition from invertebrates to vertebrates, a novel GnRH-like peptide emerges in amphioxus. Mol. Biol. Evo. 31, 765–778 (2013).
doi: 10.1093/molbev/mst269
Wicker, T. et al. A unified classification system for eukaryotic transposable elements. Nat. Rev. Genet. 8, 973–982 (2007).
pubmed: 17984973 doi: 10.1038/nrg2165
Rayko, E., Jabbari, K. & Bernardi, G. The evolution of introns in human duplicated genes. Gene 365, 41–47 (2006).
pubmed: 16356663 doi: 10.1016/j.gene.2005.09.038
Lovell, P. V. et al. Conserved syntenic clusters of protein coding genes are missing in birds. Genome Biol. 15, 565 (2014).
pubmed: 25518852 pmcid: 4290089 doi: 10.1186/s13059-014-0565-1
Lyons, E. & Freeling, M. How to usefully compare homologous plant genes and chromosomes as DNA sequences. Plant J. 53, 661–673 (2008).
pubmed: 18269575 doi: 10.1111/j.1365-313X.2007.03326.x
Nakatani, Y., Takeda, H., Kohara, Y. & Morishita, S. Reconstruction of the vertebrate ancestral genome reveals dynamic genome reorganization in early vertebrates. Genome Res. 17, 1254–1265 (2007).
pubmed: 17652425 pmcid: 1950894 doi: 10.1101/gr.6316407
Nakatani, Y. & McLysaght, A. Genomes as documents of evolutionary history: a probabilistic macrosynteny model for the reconstruction of ancestral genomes. Bioinformatics 33, i369–i378 (2017).
pubmed: 28881993 pmcid: 5870716 doi: 10.1093/bioinformatics/btx259
Smith, J. J. et al. Sequencing of the sea lamprey (Petromyzon marinus) genome provides insights into vertebrate evolution. Nat. Genet. 45, 415–421, e1–e2 (2013).
pubmed: 23435085 pmcid: 3709584 doi: 10.1038/ng.2568
Uno, Y. et al. Inference of the protokaryotypes of amniotes and tetrapods and the evolutionary processes of microchromosomes from comparative gene mapping. PLoS ONE 7, e53027 (2012).
pubmed: 23300852 pmcid: 3534110 doi: 10.1371/journal.pone.0053027
Putnam, N. H. et al. The amphioxus genome and the evolution of the chordate karyotype. Nature 453, 1064–1071 (2008).
pubmed: 18563158 doi: 10.1038/nature06967
Yun, S. et al. Prevertebrate local gene duplication facilitated expansion of the neuropeptide GPCR superfamily. Mol. Biol. Evol. 32, 2803–2817 (2015).
pubmed: 26337547 doi: 10.1093/molbev/msv179
Zhang, H. et al. Lampreys, the jawless vertebrates, contain only two ParaHox gene clusters. Proc. Natl Acad. Sci. USA 114, 9146–9151 (2017).
pubmed: 28784804 pmcid: 5576799 doi: 10.1073/pnas.1704457114
Song, Z. & Albers, H. E. Cross-talk among oxytocin and arginine-vasopressin receptors: relevance for basic and clinical studies of the brain and periphery. Front. Neuroendocrinol. 51, 14–24 (2018).
pubmed: 29054552 doi: 10.1016/j.yfrne.2017.10.004
Kumar, S. & Hedges, S. B. A molecular timescale for vertebrate evolution. Nature 392, 917–920 (1998).
pubmed: 9582070 doi: 10.1038/31927
Buechi, H. B. & Bridgham, J. T. Evolution of specificity in cartilaginous fish glycoprotein hormones and receptors. Gen. Comp. Endocrinol. 246, 309–320 (2017).
pubmed: 28062301 doi: 10.1016/j.ygcen.2017.01.007
Venkatesh, B. et al. Elephant shark genome provides unique insights into gnathostome evolution. Nature 505, 174–179 (2014).
pubmed: 24402279 pmcid: 3964593 doi: 10.1038/nature12826
Smith, J. J. & Keinath, M. C. The sea lamprey meiotic map improves resolution of ancient vertebrate genome duplications. Genome Res. 25, 1081–1090 (2015).
pubmed: 26048246 pmcid: 4509993 doi: 10.1101/gr.184135.114
Miyashita, T. et al. Hagfish from the Cretaceous Tethys Sea and a reconciliation of the morphological–molecular conflict in early vertebrate phylogeny. Proc. Natl Acad. Sci. USA 116, 2146–2151 (2019).
pubmed: 30670644 pmcid: 6369785 doi: 10.1073/pnas.1814794116
Green, R. E. et al. Three crocodilian genomes reveal ancestral patterns of evolution among archosaurs. Science, 346, 1254449 (2014).
pubmed: 25504731 pmcid: 4386873 doi: 10.1126/science.1254449
Heimberg, A. M., Cowper-Sal Lari, R., Sémon, M., Donoghue, P. C. J. & Peterson, K. J. microRNAs reveal the interrelationships of hagfish, lampreys, and gnathostomes and the nature of the ancestral vertebrate. Proc. Natl Acad. Sci. USA 107, 19379–19383 (2010).
pubmed: 20959416 pmcid: 2984222 doi: 10.1073/pnas.1010350107
Kent, W. J. BLAT—the BLAST-like alignment tool. Genome Res. 12, 656–664 (2002).
pubmed: 11932250 pmcid: 187518
Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990).
pubmed: 2231712 doi: 10.1016/S0022-2836(05)80360-2
Haug-Baltzell, A., Stephens, S. A., Davey, S., Scheidegger, C. E. & Lyons, E. SynMap2 and SynMap3D: web-based whole-genome synteny browsers. Bioinformatics 33, 2197–2198 (2017).
pubmed: 28334338 doi: 10.1093/bioinformatics/btx144
Zerbino, D. R. et al. Ensembl 2018. Nucleic Acids Res. 46, D754–D761 (2018).
pubmed: 29155950 doi: 10.1093/nar/gkx1098
Morgenstern, B., Prohaska, S. J., Pöhler, D. & Stadler, P. F. Multiple sequence alignment with user-defined anchor points. Algorithms Mol. Biol. 1, 6 (2006).
pubmed: 16722533 pmcid: 1481597 doi: 10.1186/1748-7188-1-6
Xu, G., Guo, C., Shan, H. & Kong, H. Divergence of duplicate genes in exon–intron structure. Proc. Natl Acad. Sci. USA 109, 1187–1192 (2012).
pubmed: 22232673 pmcid: 3268293 doi: 10.1073/pnas.1109047109
Kiezun, A. et al. miRviewer: a multispecies microRNA homologous viewer. BMC Res. Notes 5, 92 (2012).
pubmed: 22330228 pmcid: 3292992 doi: 10.1186/1756-0500-5-92
Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014).
pubmed: 24451623 pmcid: 3998144 doi: 10.1093/bioinformatics/btu033
Yachdav, G. et al. MSAViewer: interactive JavaScript visualization of multiple sequence alignments. Bioinformatics 32, 3501–3503 (2016).
pubmed: 27412096 pmcid: 5181560 doi: 10.1093/bioinformatics/btw474
Gimpl, G. & Fahrenholz, F. The oxytocin receptor system: structure, function, and regulation. Physiol. Rev. 81, 629–683 (2001).
pubmed: 11274341 doi: 10.1152/physrev.2001.81.2.629

Auteurs

Constantina Theofanopoulou (C)

Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA. ktheofanop@rockefeller.edu.
Section of General Linguistics, University of Barcelona, Barcelona, Spain. ktheofanop@rockefeller.edu.
University of Barcelona Institute for Complex Systems, Barcelona, Spain. ktheofanop@rockefeller.edu.

Gregory Gedman (G)

Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA.

James A Cahill (JA)

Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA.

Cedric Boeckx (C)

Section of General Linguistics, University of Barcelona, Barcelona, Spain.
University of Barcelona Institute for Complex Systems, Barcelona, Spain.
ICREA, Barcelona, Spain.

Erich D Jarvis (ED)

Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA. ejarvis@rockefeller.edu.
Howard Hughes Medical Institute, Chevy Chase, MD, USA. ejarvis@rockefeller.edu.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing
Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice

Classifications MeSH