Evolutionary history of teleost intron-containing and intron-less rhodopsin genes.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
23 07 2019
Historique:
received: 15 02 2019
accepted: 09 07 2019
entrez: 25 7 2019
pubmed: 25 7 2019
medline: 24 10 2020
Statut: epublish

Résumé

Recent progress in whole genome sequencing has revealed that animals have various kinds of opsin genes for photoreception. Among them, most opsin genes have introns in their coding regions. However, it has been known for a long time that teleost retinas express intron-less rhodopsin genes, which are presumed to have been formed by retroduplication from an ancestral intron-containing rhodopsin gene. In addition, teleosts have an intron-containing rhodopsin gene (exo-rhodopsin) exclusively for pineal photoreception. In this study, to unravel the evolutionary origin of the two teleost rhodopsin genes, we analyzed the rhodopsin genes of non-teleost fishes in the Actinopterygii. The phylogenetic analysis of full-length sequences of bichir, sturgeon and gar rhodopsins revealed that retroduplication of the rhodopsin gene occurred after branching of the bichir lineage. In addition, analysis of the tissue distribution and the molecular properties of bichir, sturgeon and gar rhodopsins showed that the abundant and exclusive expression of intron-containing rhodopsin in the pineal gland and the short lifetime of its meta II intermediate, which leads to optimization for pineal photoreception, were achieved after branching of the gar lineage. Based on these results, we propose a stepwise evolutionary model of teleost intron-containing and intron-less rhodopsin genes.

Identifiants

pubmed: 31337799
doi: 10.1038/s41598-019-47028-4
pii: 10.1038/s41598-019-47028-4
pmc: PMC6650399
doi:

Substances chimiques

Rhodopsin 9009-81-8

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

10653

Références

Mol Biol Evol. 2018 Jun 1;35(6):1547-1549
pubmed: 29722887
BMC Evol Biol. 2013 Nov 02;13:238
pubmed: 24180662
J Biol Chem. 2010 Mar 12;285(11):8114-21
pubmed: 20042594
Science. 2006 Mar 17;311(5767):1617-21
pubmed: 16543463
J Exp Zool B Mol Dev Evol. 2003 Jun 15;297(1):1-10
pubmed: 13677319
Sci Rep. 2017 Nov 14;7(1):15568
pubmed: 29138475
Proc Natl Acad Sci U S A. 1987 Dec;84(24):8874-8
pubmed: 2962193
PLoS One. 2012;7(6):e39003
pubmed: 22720013
FEBS Lett. 2002 Jun 5;520(1-3):97-101
pubmed: 12044878
Biochemistry. 1990 Jan 30;29(4):937-42
pubmed: 2111169
Vis Neurosci. 2011 Jul;28(4):325-35
pubmed: 21447259
Proc Natl Acad Sci U S A. 1999 Aug 31;96(18):10267-71
pubmed: 10468597
Bioinformatics. 2007 Nov 1;23(21):2947-8
pubmed: 17846036
Gene. 1991 Dec 15;108(2):193-9
pubmed: 1660837
J Neurosci. 2010 Sep 15;30(37):12495-507
pubmed: 20844144
Gene. 1995 Oct 27;164(2):273-7
pubmed: 7590342
Commun Biol. 2018 Oct 1;1:156
pubmed: 30302400
Brain Res Mol Brain Res. 1999 Nov 10;73(1-2):110-8
pubmed: 10581404
Nature. 1988 Jul 28;334(6180):348-50
pubmed: 3134619
Genome Biol. 2005;6(3):213
pubmed: 15774036
Proc Natl Acad Sci U S A. 2017 May 23;114(21):5437-5442
pubmed: 28484015
FEBS Lett. 2003 Nov 20;554(3):410-6
pubmed: 14623103
Philos Trans R Soc Lond B Biol Sci. 2009 Oct 12;364(1531):2881-95
pubmed: 19720651
Nature. 1994 Nov 3;372(6501):94-7
pubmed: 7969427
J Neurosci. 2000 Jan 15;20(2):600-5
pubmed: 10632589
Trends Genet. 1999 Feb;15(2):47-9
pubmed: 10098406
FEBS Lett. 2000 Feb 25;468(2-3):181-8
pubmed: 10692583
Cell Mol Life Sci. 2011 Nov;68(22):3713-23
pubmed: 21416149
Cell Tissue Res. 2002 Jul;309(1):57-71
pubmed: 12111537
Sci Rep. 2015 Jun 10;5:11081
pubmed: 26061742
J Exp Biol. 2017 Jan 15;220(Pt 2):294-303
pubmed: 27811293
Naturwissenschaften. 2006 Aug;93(8):379-85
pubmed: 16688437
J Exp Zool B Mol Dev Evol. 2016 Nov;326(7):403-421
pubmed: 27862951
Proc Biol Sci. 2012 Jan 7;279(1726):3-14
pubmed: 22012981
Biochemistry. 1999 Nov 9;38(45):14738-45
pubmed: 10555955
Biochemistry. 2013 Apr 30;52(17):3010-8
pubmed: 23570417
Comput Appl Biosci. 1992 Jun;8(3):275-82
pubmed: 1633570

Auteurs

Chihiro Fujiyabu (C)

Faculty of Science, Kyoto University, Kyoto, 606-8502, Japan.

Keita Sato (K)

Department of Cytology and Histology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, 700-8558, Japan.

Ni Made Laksmi Utari (NML)

Department of Cytology and Histology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, 700-8558, Japan.
Department of Ophthalmology, Faculty of Medicine, Udayana University, Bali, Indonesia.

Hideyo Ohuchi (H)

Department of Cytology and Histology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, 700-8558, Japan.

Yoshinori Shichida (Y)

Faculty of Science, Kyoto University, Kyoto, 606-8502, Japan.
Research Organization for Science and Technology, Ritsumeikan University, Shiga, 525-8577, Japan.
Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto, 606-8502, Japan.

Takahiro Yamashita (T)

Faculty of Science, Kyoto University, Kyoto, 606-8502, Japan. yamashita.takahiro.4z@kyoto-u.ac.jp.
Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto, 606-8502, Japan. yamashita.takahiro.4z@kyoto-u.ac.jp.

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