commerson, found primarily in the Pacific and Indian Oceans. The results also revealed two allopatric putative species in S.
guttatus species group is discussed in relation to the ecological diversity of the region which facilitates larval recruitment and niche specialization. Our analysis suggests that vertebral counts must be coupled with other features to identify the species/lineages in the nominal S. Widespread in the Indo-Pacific, this species contains two major molecular operational taxonomic units (MOTUs) with a divergence threshold of over 2% between them. guttatus is resurrected here from the synonymy of the latter as Scomberomorus leopardus (Shaw, 1803). guttatus which exhibits >10% genetic divergence from S.
Scomberomorus guttatus (Bloch and Schneider, 1801) in the sensu stricto, is redeemed from its type locality based on genetic data and preliminary morphomeristic investigations and has a restricted distribution in the Bay of Bengal. guttatus previously believed to have an Indo-Pacific distribution. Interestingly, all species delimitation analyses have recovered another highly cryptic species in the nominal S. guttatus predicated on variable vertebral counts. Our aim was also to verify the hypothesis of geographical races in S. We used single and multilocus data (eight mitochondrial and three nuclear genes) to infer phylogenetic relationships, species delimitation, and the resurrection of a time-calibrated phylogenetic tree. Here, novel genetic data are provided that reconfigure species boundaries from the region.
The species diversity of Scomberomorus in the northern Indian Ocean has not been studied at the molecular level, often leading to misidentifications. regalis, which contains the new world taxa. The sole molecular systematic study of this genus concerned the species group S. The genus Scomberomorus, with 18 nominal species, sustains a significant heterogeneous fishery throughout its range. This study proves the use of mtDNA genes sequence-based approach is a support tool along with traditional taxonomy for identifying fish species at a faster pace. Partial sequences of both the genes provided sufficient phylogenetic information to distinguish the four Nemipterus species indicating the usefulness of mtDNA-based approach in species identification. A data set of 198 mtCOI sequences was obtained from published resources and used to screen character-based molecular diagnostic keys for species in silico. Using the BLOG 2.0 software, species-specific diagnostic nucleotides were identified for the selected group of species. Character-based identification approaches that categorize specimens to species using classification rules that compactly identify species in terms of key diagnostic nucleotides in selected gene sequences. The Partial sequences of COI and 16S rRNA of mitochondrial genes were analyzed for species identification and phylogenetic relationship of Nemipterus species (Nemipterus japonicus, Nemipterus peronii, Nemipterus bipunctatus, Nemipterus bathybius). In this study, we focused on the marine fishes of Family Nemipteridae, one of the commercially important group distributed within the Coromandel Coast. The character-based molecular diagnostic keys for fishes were also developed in-silico from the data set comprising 393 mitochondrial 16S rRNA sequences including the sequences generated in the present study and other published resources.ĭNA barcoding, primarily focusing on cytochrome c oxidase subunit I (COI) gene has been appraised as an effective tool for species identification. The current study’s findings show that the 16S rRNA barcodes facilitated successful fish species identification and also provided phylogenetic information to differentiate the fishes. Result: DNA barcodes were generated from twenty-nine species of fish representing seven orders, 26 genera and 21 families in this study. For each species, the LOGic (BLOG 2.0) DNA Barcode analysis method was used to identify different positions of key diagnostic nucleotides in a given set. Methods: In addition to morphological identification, the species were identified using various approaches, such as Neighbour-joining (NJ), Maximum Likelihood (ML) trees and the Character-based method. This will be a powerful tool to obtain a significant amount of accurate information quickly and conveniently and could be used for forensic applications and the conservation of fish in Indian waters. Molecular signatures and character-based keys could be used for faster identification. Correct species identification is essential for the conservation and management of finite resources. Background: Pulicat Lake is one of India’s most valuable ecosystems.
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