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Fig. 2 in Mitophylogeny of Pangasiid Catfishes and its Taxonomic Implications for Pangasiidae and the Suborder Siluroidei.

Fig. 2. PhyML-phylogeny of the order Siluriformes, including 32 catfish families (117 sequences) of three suborders, Siluroidei, Loricarioidei, and Diplomystoidei based on the complete concatenated nucleotide sequences of all 13 mitochondrial protein coding genes (about 11,408 bp in length) (Table S2). Two sequences of Gonorynchiformes were used as an outgroup. The alignment was performed by MAFFT (Katoh and Standley 2013), curated by BMGE v1.12 (Criscuolo and Gribaldo 2010), the tree was reconstructed in PhyML 3.3 (Guindon et al. 2010) using a maximum likelihood method and 1000 bootstrap resamplings, and the output Newick tree was extracted and visualized using FigTree v1.4.4 (Rambaut 2018). The nodal bootstrap support values (shown at each node) were interpreted from the concurrently constructed tree using the above MAFFT-BMGE alignment by MEGA X (Kumar et al. 2018). The basal nodes of the three suborders (Diplomystoidei, Loricarioidei, and Siluroidei) as well as the two major "Big Asia" and "Big Africa" groups (background highlighted) are shown by arrows. The Pangasius mekongensis, Pangasianodon hypophthalmus, and Pangasius krempfi sequences in this study are indicated by stars and with the associated families' background highlighted. The taxa were presented with their full names. The abbreviations of the isolates are given in brackets, including the geographical origin or voucher records of each sequenced specimen (where available), which were retrieved from the previous studies (Saitoh et al. 2003; Nakatani et al. 2011; Kappas et al. 2016; Zhang et al. 2021; Schedel et al. 2022). The country of origin or geographical regions where the sample was reported are given in full name, if available. Accession numbers are given at the end of each sequence label. The scale bar represents the number of substitutions per site.

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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