Literature DB >> 34926823

Complete mitogenome of Gymnocorymbus ternetzi (Characiformes: Characidae: Gymnocorymbus) and phylogenetic implications.

Qunyin Zhu1, Site Luo2, Shang Pan1, Xiaohan Su1, Ziming Liu1, Jie Chen1.   

Abstract

Gymnocorymbus ternetzi belongs to the genus Gymnocorymbus in the family Characidae, and is mainly distributed in southern Brazil. Herein, we report the complete mitogenome of G. ternetzi using Illumina sequencing data. The mitogenome is 17,999 bp in length and contains 13 protein-coding genes, 22 transfer RNA genes, and 2 ribosomal RNA genes. Phylogenetic analysis of G. ternetzi and 18 related species within Characidae indicates that G. ternetzi clusters within the family Characidae. The data provide useful genetic information for future studies on the taxonomy, phylogeny, and evolution of Characidae species.
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Gymnocorymbus ternetz; mitochondrial genome; phylogenetic relationship

Year:  2021        PMID: 34926823      PMCID: PMC8676682          DOI: 10.1080/23802359.2021.2008844

Source DB:  PubMed          Journal:  Mitochondrial DNA B Resour        ISSN: 2380-2359            Impact factor:   0.658


Characidae is among the most diverse families of Characiformes and one of the largest clades of fish globally, with a complex taxonomic background (Benine et al. 2015). The black widow tetra Gymnocorymbus ternetzi (Boulenger, 1895), belonging to the genus Gymnocorymbus within the family Characidae, is a peaceful shoaling tropical freshwater fish distributed in the rivers of southern Brazil (Priestley et al., 2006). It is an omnivorous fish that feeds on plants, insects, and crustaceans (Polaz et al. 2017). Because of its attractive appearance, undemanding maintenance, and ease of breeding, G. ternetzi is a popular freshwater ornamental fish (Frankel 2004; Uma and Chandran 2008). The evolutionary genetics of G. ternetzi are unknown. In this study, we report the complete mitochondrial genome of this species. The data will be a valuable resource for further studies on evolutionary genetics, species delimitation, and phylogenetic studies on Gymnocorymbus. Samples were collected from Pudong New Area, Shanghai City, China (31°19′06.89″N, 121°67′90.75″E). The voucher specimen was deposited at the Lishui University (No. LSU-ZJ2021-03-01–LSU-ZJ2021-03-10 by Ziming Liu, liuziming@lsu.edu.cn). Genomic DNA was extracted using a TIANamp Genomic DNA Kit (TIANGEN, Beijing, China). The sequencing library was produced using the Illumina Truseq™ DNA Sample Preparation Kit (Illumina, San Diego, CA, USA) according to the manufacturer's recommendations. The prepared library was loaded on an Illumina Novaseq 6000 platform for paired-end 2 × 150 bp sequencing at Novogene (Beijing, China). Raw data were used to assemble the complete mitogenome genome using the GetOrganelle pipeline (Jin et al. 2020). Genome annotation was performed using Mitoz annotation module (Meng et al. 2019). The annotated genome sequence was deposited in GenBank under accession number MZ363625. The circular mitogenome of G. ternetzi is 17,999 bp in length, with 29.92% A, 28.41% T, 15.37% G, and 26.30% C. The greater A + T content (58.33%) than the G + C content (41.67%) indicated a slight A + T bias in G. ternetzi. Further, 37 genes were predicted, including 13 protein-coding genes, 22 transfer RNAs, and 2 ribosomal RNA genes. Phylogenetic analysis was performed using complete mitogenomes from 23 species of Paralichthys olivaceus and Cynoglossus semilaevis serving as outgroup taxa. The genomes were aligned with MAFFT v7.388 using default settings (Katoh and Standley 2013). Phylogenetic analysis was conducted based on maximum likelihood (ML) analyses implemented in IQ-TREE v2.1.2 with the GTR + F+R2 nucleotide substitution model selected by ModelFinder (Kalyaanamoorthy et al. 2017; Minh et al. 2020). Support for the inferred ML tree was inferred by bootstrapping with 1,000 replicates. The analysis showed that G. ternetzi was in a clade with Gephyrocharax atracaudatus (Figure 1).
Figure 1.

Maximum likelihood (ML) tree based on 19 mitogenome sequences of representative fish in Characidae as the ingroup and Paralichthys olivaceus and Cynoglossus semilaevis as the outgroup. Numbers on the nodes are bootstrap values based on 1,000 replicates. The G. ternetzi genome is marked in bold and red font.

Maximum likelihood (ML) tree based on 19 mitogenome sequences of representative fish in Characidae as the ingroup and Paralichthys olivaceus and Cynoglossus semilaevis as the outgroup. Numbers on the nodes are bootstrap values based on 1,000 replicates. The G. ternetzi genome is marked in bold and red font. This study provides important sequence information for species identification and phylogenetic relationships in the Characidae species.
  8 in total

1.  Growth rate and body condition in relation to group size in Black Widow Tetras (Gymnocorymbus ternetzi) and Common Goldfish (Carassius auratus).

Authors:  Steven M Priestley; Abigail E Stevenson; Lucille G Alexander
Journal:  J Nutr       Date:  2006-07       Impact factor: 4.798

2.  MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization.

Authors:  Guanliang Meng; Yiyuan Li; Chentao Yang; Shanlin Liu
Journal:  Nucleic Acids Res       Date:  2019-06-20       Impact factor: 16.971

3.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

4.  Inheritance of trunk banding in the tetra (Gymnocorymbus ternetzi Characidae).

Authors:  J S Frankel
Journal:  J Hered       Date:  2004 May-Jun       Impact factor: 2.645

5.  Taxonomic revision and molecular phylogeny of Gymnocorymbus Eigenmann, 1908 (Teleostei, Characiformes, Characidae).

Authors:  Ricardo C Benine; Bruno F Melo; Ricardo M C Castro; Claudio Oliveira
Journal:  Zootaxa       Date:  2015-05-07       Impact factor: 1.091

6.  ModelFinder: fast model selection for accurate phylogenetic estimates.

Authors:  Subha Kalyaanamoorthy; Bui Quang Minh; Thomas K F Wong; Arndt von Haeseler; Lars S Jermiin
Journal:  Nat Methods       Date:  2017-05-08       Impact factor: 28.547

7.  IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era.

Authors:  Bui Quang Minh; Heiko A Schmidt; Olga Chernomor; Dominik Schrempf; Michael D Woodhams; Arndt von Haeseler; Robert Lanfear
Journal:  Mol Biol Evol       Date:  2020-05-01       Impact factor: 16.240

8.  GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes.

Authors:  Jian-Jun Jin; Wen-Bin Yu; Jun-Bo Yang; Yu Song; Claude W dePamphilis; Ting-Shuang Yi; De-Zhu Li
Journal:  Genome Biol       Date:  2020-09-10       Impact factor: 13.583

  8 in total

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