Abstract

Amongst fishes, zebrafish (Danio rerio) has gained popularity as a model system over most other species and while their value as a model is well documented, their usefulness is limited in certain fields of research such as behavior. By embracing other, less conventional experimental organisms, opportunities arise to gain broader insights into evolution and development, as well as studying behavioral aspects not available in current popular model systems. The anabantoid paradise fish (Macropodus opercularis), an “air-breather” species has a highly complex behavioral repertoire and has been the subject of many ethological investigations but lacks genomic resources. Here we report the reference genome assembly of M. opercularis using long-read sequences at 150-fold coverage. The final assembly consisted of 483,077,705 base pairs (~483 Mb) on 152 contigs. Within the assembled genome we identified and annotated 20,157 protein coding genes and assigned ~90% of them to orthogroups.

Details

Title
The reference genome of Macropodus opercularis (the paradise fish)
Author
Fodor, Erika 1 ; Okendo, Javan 2 ; Szabó, Nóra 1   VIAFID ORCID Logo  ; Szabó, Kata 1   VIAFID ORCID Logo  ; Czimer, Dávid 1 ; Tarján-Rácz, Anita 1 ; Szeverényi, Ildikó 3 ; Low, Bi Wei 4 ; Liew, Jia Huan 4 ; Koren, Sergey 5   VIAFID ORCID Logo  ; Rhie, Arang 5   VIAFID ORCID Logo  ; Orbán, László 3   VIAFID ORCID Logo  ; Miklósi, Ádám 6 ; Varga, Máté 1   VIAFID ORCID Logo  ; Burgess, Shawn M. 2   VIAFID ORCID Logo 

 ELTE Eötvös Loránd University, Department of Genetics, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276) 
 National Human Genome Research Institute, Translational and Functional Genomics Branch, Bethesda, USA (GRID:grid.280128.1) (ISNI:0000 0001 2233 9230) 
 Hungarian University of Agriculture and Life Sciences, Frontline Fish Genomics Research Group, Department of Applied Fish Biology, Institute of Aquaculture and Environmental Safety, Keszthely, Hungary (GRID:grid.129553.9) (ISNI:0000 0001 1015 7851) 
 Lingnan University, Science Unit, Hong Kong, China (GRID:grid.411382.d) (ISNI:0000 0004 1770 0716) 
 National Human Genome Research Institute, Computational and Statistical Genomics Branch, Bethesda, USA (GRID:grid.280128.1) (ISNI:0000 0001 2233 9230) 
 ELTE Eötvös Loránd University, Department of Ethology, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276) 
Pages
540
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3060075210
Copyright
© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.