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Comparative mitochondrial genomics analysis of selected species of Schizothoracinae sub family to explore the differences at mitochondrial DNA level.

Authors :
Iyyappan S
Rather MA
Ahmad I
Ahmad I
Source :
Computational biology and chemistry [Comput Biol Chem] 2024 Oct; Vol. 112, pp. 108165. Date of Electronic Publication: 2024 Jul 26.
Publication Year :
2024

Abstract

A comprehensive analysis of the whole mitochondrial genomes of the Schizothoracinae subfamily of the family Cyprinidae has been revealed for the first time. The species analyzed include Schizothorax niger, Schizothorax esocinus, Schizothorax labiatus and Schizothorax plagoistomus. The total mitochondrial DNA (mtDNA) length was determined to be 16585 bp, 16583 bp, 16582 bp and 16576 bp, respectively with 13 protein-coding genes, 2 rRNA genes, 22 tRNA genes and 2 non-coding area genes. The combined mean base compositions of the four species were as follows: A: 29.91 % T: 25.47 % G: 17.65 % C 27.01 %. The range of the GC content is 45-44 %, respectively. All protein coding genes (PCGs) commenced with the typical ATG codon, except for the cytochrome c oxidase subunit 1 (COX1) gene with GTG. The analysis of vital amino acid biosynthesis genes (COX1, ATPase 6, ATPase 8) in four different species revealed no significant differences. All 13 PCGs had Ka/Ks ratios that were all lesser than one, demonstrating purifying selection on those molecules. These tRNA genes were predicted to fold into the typical cloverleaf secondary structures with normal base pairing and ranged in size from 66 to 75 nucleotides. Additionally, the phylogenetic tree analysis revealed that S. esocinus species that was most alike to S. labiatus. This study provides critical data for phylogenetic analysis of the Schizothoracinae subfamily, which will help to resolve taxonomic difficulties and identify evolutionary links. Detailed mtDNA data are an invaluable resource for studying genetic diversity, population structure, and gene flow. Understanding genetic makeup can help inform conservation plans, identify unique populations, and track genetic variation to ensure effective preservation.<br />Competing Interests: Declaration of Competing Interest The authors declare that there is no conflict of interest to disclose.<br /> (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1476-928X
Volume :
112
Database :
MEDLINE
Journal :
Computational biology and chemistry
Publication Type :
Academic Journal
Accession number :
39106606
Full Text :
https://doi.org/10.1016/j.compbiolchem.2024.108165