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New insights into the spatial genetic structure of the Indian riverine buffalo populations
- Source :
- Livestock Science. 216:227-232
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Several programmes for the genetic improvement and conservation Indian buffalo breeds have been implemented by various agencies since 1970. These programmes may have shaped the present genetic diversity and thereby the evolutionary potential of buffalo populations across India. In this study, we attempted to provide an insight into the contemporary genetic structure of buffaloes by simultaneously analyzing the genetic and geospatial data. A battery of 100 microsatellite markers was genotyped across 1055 buffalo samples representing different geographical regions of the country. Bayesian and multivariate approaches were used for analyses. Although the clustering results from the different approaches were not convergent, these methods were able to identify sub-structuring within the UP buffalo population. In our study BAPS was able to distinguish most of the buffalo breeds with better spatial distribution. The genetic structuring detected in our study is mainly characterised by isolation by distance and also reflects the effect of improvement programmes. Our analysis suggested genetic connectivity of Murrah and Nili-Ravi with several buffalo breeds, as they have been used for breed improvement. The information may be useful in identifying ecologically distinct or connected populations for future improvement and conservation programmes.
- Subjects :
- 0106 biological sciences
0301 basic medicine
education.field_of_study
Multivariate statistics
Genetic diversity
Geospatial analysis
General Veterinary
animal diseases
Population
Biology
computer.software_genre
010603 evolutionary biology
01 natural sciences
Breed
03 medical and health sciences
030104 developmental biology
Evolutionary biology
parasitic diseases
Genetic structure
Microsatellite
Animal Science and Zoology
education
computer
Isolation by distance
Subjects
Details
- ISSN :
- 18711413
- Volume :
- 216
- Database :
- OpenAIRE
- Journal :
- Livestock Science
- Accession number :
- edsair.doi...........3a415640b944138ed458e701f1109c25
- Full Text :
- https://doi.org/10.1016/j.livsci.2018.09.003