![]() ![]() The present study focused on the cloning, expression, and characterization of L-asparaginase of marine Pseudomonas aeruginosa HR03 isolated from fish intestine. 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. 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. īackground: Pulicat Lake is one of India’s most valuable ecosystems. This web exploration and data retrieval system will help investigators in their everyday activities without the need to reinvent protocols and allows them to use the novel and modified data searching capabilities provided by GeneBank and other servers without requiring a MEGA3. In the MEGA web browser, once investigators have generated the list of desired sequences, they click on ‘ ADD TO ALIGNMENT’ whereupon MEGA parses the sequences automatically and sends them to the Alignment Explorer (AE) (Figure 2). The MEGA browser therefore can be used as a general-purpose web browser. Because the MEGA3 web-browsing facility is a wrapper around the full-function HTML browser in the Microsoft Windows operating system, it works even if a commercial browser is not installed on the computer. Researchers can use it in the same way as the commercial web browsers, such as Internet Explorer or Netscape Navigator. To streamline this process, MEGA now includes an integrated web-browsing facility ( Figure 1). Usually at this point, investigators begin the mundane, frustrating task of cutting and pasting the sequences from the web-browsers or saving them to files and then processing them for sequence alignment. From this set, researchers may select all or some of the sequences based on specific criteria, for example, taxonomic sampling of chosen species and/or sequence matching score. 13–15 In both cases, a set of sequences is found and displayed on the computer screen. Homologous sequences usually are searched in the BLAST procedure by using either a gene name (or other attributes such as the GenBank accession numbers) or a query sequence. routinely obtain gene sequences from databanks 11,12 using a web browser. ![]()
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