Genetic status of indigenous poultry (red jungle fowl) from India.

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.

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.