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Mitochondrial DNA Part B
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Volume 5, 2020 - Issue 3
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Mitogenome Announcement

The complete mitochondrial genome of the Picasso clownfish: genomic comparisons and phylogenetic inference among Amphiprioninae

Li-bin Hea Center for prevention and control of marine biological diseases, Fisheries Research Institute of Fujian, Xiamen, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4626-6843View further author information
ORCID Icon,
Shui-qing Wua Center for prevention and control of marine biological diseases, Fisheries Research Institute of Fujian, Xiamen, ChinaView further author information
,
Hui-yu Luob Marine Biological Genetics and Breeding Research Center, Fisheries Research Institute of Fujian, Xiamen, ChinaView further author information
&
Le-yun Zhengb Marine Biological Genetics and Breeding Research Center, Fisheries Research Institute of Fujian, Xiamen, ChinaView further author information
Pages 2990-2991 | Received 24 Jun 2020, Accepted 29 Jun 2020, Published online: 27 Jul 2020

Figures & data

Figure 1. Phylogenetic trees derived from neighbour-joining (NJ) and Bayesian inference (BI) analyses based on nucleotide sequences of 13 mitochondrial protein-coding genes and 2 ribosomal RNA genes. Tree topologies produced by BI and NJ analyses were equivalent. Bayesian posterior probability (bottom) and bootstrap support values for NJ analyses (top) are shown in order on the nodes. Chaetodon auripes was selected as an outgroup species.

Figure 1. Phylogenetic trees derived from neighbour-joining (NJ) and Bayesian inference (BI) analyses based on nucleotide sequences of 13 mitochondrial protein-coding genes and 2 ribosomal RNA genes. Tree topologies produced by BI and NJ analyses were equivalent. Bayesian posterior probability (bottom) and bootstrap support values for NJ analyses (top) are shown in order on the nodes. Chaetodon auripes was selected as an outgroup species.

Data availability statement

The data that support the findings of this study are openly available in GenBank database at https://submit.ncbi.nlm.nih.gov/subs/sra/SUB3297187/overview, reference number [SRR6363367].

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