NDLI: Population Structure and Stock Identification of Steelhead Trout (Oncorhynchus mykiss) in British Columbia and the Columbia River Based on Microsatellite Variation

Content Provider	Springer Nature Link
Author	Beacham, Terry D. Le, Khai D. Candy, John R.
Copyright Year	2004
Abstract	Variation at 13 microsatellite loci was surveyed from ∼3 800 steelhead trout, Oncorhynchus mykiss, from 51 populations in British Columbia, Washington, and the Columbia River drainage. Mean FST over all 13 loci and 51 populations was 0.066. Regional structuring of populations was apparent, with Thompson River, upper Fraser River, and Columbia River populations forming distinct groups. In the Nass River, winter-run populations were distinct from the summer-run populations. Significant differences in allele frequencies were observed among regional stock groups at all loci. Analysis of variance components indicated that 5.7% of the total observed variation was distributed among 11 regions, and 2.3% of the variation was among populations within regions. Analysis of simulated mixed-stock samples suggested that variation at the microsatellite loci provided relatively accurate and precise estimates of stock composition for fishery management applications, and this was confirmed by application to actual fishery samples of known origin. Within the Fraser River drainage, individual steelhead trout can be identified to one of the three regions of origin with an accuracy of 94–97%. Microsatellites provided an effective way to determine population structure, and provided reliable estimates of stock composition in mixed-stock fisheries.
Starting Page	95
Ending Page	109
Page Count	15
File Format	PDF
ISSN	03781909
Journal	Environmental Biology of Fishes
Volume Number	69
Issue Number	1-4
e-ISSN	15735133
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hydrobiology Zoology Animal Systematics/Taxonomy/Biogeography Environment Nature Conservation
Content Type	Text
Resource Type	Article
Subject	Aquatic Science Ecology, Evolution, Behavior and Systematics

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