Issue |
Aquat. Living Resour.
Volume 30, 2017
|
|
---|---|---|
Article Number | 33 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/alr/2017033 | |
Published online | 08 September 2017 |
Research Article
Stock discrimination of Sperata aor from river Ganga using microsatellite markers: implications for conservation and management
Section of Fishery Science and Aquaculture, Department of Zoology, Aligarh Muslim University,
Aligarh
202 002, India
* Corresponding author: khanmafzal@yahoo.com
Handling Editor: Carlos Saavedra
Received:
20
May
2017
Accepted:
1
August
2017
High genetic variation is an important requirement for long term survival of wild populations through adaptations to changing environmental conditions. High levels of variability and the potential to isolate large number of loci make microsatellites the marker of choice to study intraspecific genetic variation in fish. Seventy Sperata aor samples each from four sites along the river Ganga were successfully cross amplified at six loci. All the selected loci were highly polymorphic showing a slight heterozygosity excess. The mean observed and expected heterozygosities across all investigated populations were 0.971 and 0.913, respectively. FST statistics, Bayesian model-based clustering analysis and analysis of molecular variance (AMOVA) revealed three different genetic stocks of S. aor (Narora–Kanpur, Varanasi and Bhagalpur), showing moderate genetic differentiation among them (total FST = 0.069). Genetic differentiation was significantly correlated with the distance among stocks. The populations of S. aor are currently stable in the river Ganga as evident from high levels of genetic variability and no inbreeding. However, a precautionary approach to fishery management and conservation of S. aor should be undertaken at priority in view of the anthropogenic as well as natural threats to the fishes of river Ganga.
Key words: Cross-species amplification / Genetic variability / River Ganga / Sperata aor / Stock discrimination
© EDP Sciences 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.