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Ornamental fishes are traded with multiple names from various parts around the world, including North East India. Most are collected from the wild, due to lack of species-specific culture or breeding, and therefore, such unmanaged collection of the wild and endemic species could lead to severe threats to biodiversity. Despite many regulatory policies, trade of threatened species, including the IUCN listed species have been largely uncontrolled, due to species identification problems arising from the utilization of multiple trade names. So, the development of species-specific DNA marker is indispensable where DNA Barcoding is proved to be helpful in species identification. Here, we investigated, through DNA Barcoding and morphological assessment, the identification of 128 ornamental fish specimens exported from NE India from different exporters. The generated sequences were subjected to similarity match in BOLD-IDS as well as BLASTN, and analysed using MEGA5.2 for species identification through Neighbour-Joining (NJ) clustering, and K2P distance based approach. The analysis revealed straightforward identification of 84 specimens into 35 species, while 44 specimens were difficult to distinguish based on CO1 barcode alone. However, these cases were resolved through morphology, NJ and distanced based method and found to be belonging to 16 species. Among the 51 identified species, 14 species represented multiple trade names; 17 species belonged to threatened category. Species-level identification through DNA Barcoding along with traditional morphotaxonomy reflects its efficacy in regulating ornamental fish trade and therefore, appeals for their conservation in nature. The use of trade names rather than the zoological name created the passage for trafficking of the threatened species and demands immediate attention for sustaining wildlife conservation. [ABSTRACT FROM AUTHOR]

The global biodiversity of domesticated red jungle fowl (Gallus gallus) is gradually eroding by replacement with commercial poultry breeds and results loss of valuable genetic and physical traits like resistance to disease, extreme environment, etc. posing a threat to the poultry genetic resources. Very fewer reports exist on Indian poultry diversity, especially native chicken of India. Therefore, species identification and inventorying of the poultry genetic resource is indispensable. Thus, the present study aimed to characterize indigenous chicken from bio-diversity hotspot of Sunderban and Northeast India using DNA sequence based barcoding approach. A total of 15 CO1 (Cytochrome c Oxidase-I) DNA barcode of different indigenous chicken were newly sequenced along with 6 previously published sequences from our laboratory and compared with the available data of distinctive genera of Phasianidae as per the standard protocol and are identified as Gallus gallus. About 98.96% of the Phasianid birds were successfully delimitated into the respective species except for 12 congeneric pairs whose minimum interspecific K2P (Kimura 2-parameter) distance overlaps with the maximum intraspecific distance (3.9%). The least genetic divergence is observed between G. gallus and G. varius (0.013%) and highest between G. gallus and G. lafayettei (0.059%). The NJ tree showed a cohesive clustering of indigenous chicken with G. gallus and distinct with respect to all the different species under study, thereby revealing their taxonomic position except for few G. sonneratti that showed mixed clustering with G. gallus. This may be due to the genetic introgression between the species. Nevertheless, the study for the first time provided the molecular identification tag of indigenous poultry from biodiversity hotspot of East and Northeast India and will remain as a potential guide to recognize inimitable and valuable poultry genetic resources for future needs. Unlabelled Image • CO1 barcode as molecular tag for rapid diagnosis of Poultry from India. • A 650 bp barcode fragment for delineation Phasianid species. • DNA barcodes as guide to recognize valuable poultry genetic resources. • It is simple, field based application to identify the poultry bio-resources. [ABSTRACT FROM AUTHOR]