Microsatellite DNA Population Structure and Stock Identification of Steelhead Trout (Oncorhynchus mykiss) in the Nass and Skeena Rivers in Northern British Columbia

Abstract

Population structure and the application to genetic stock identification for steelhead (Oncorhynchus mykiss) in the Nass and Skeena Rivers in northern British Columbia was examined using microsatellite markers. Variation at 8 microsatellite loci (Oki200, Omy77, Ots1, Ots3, Ssa85, Ots100, Ots103, and Ots108) was surveyed for approximately 930 steelhead from 7 populations in the Skeena River drainage and 850 steelhead from 10 populations in the Nass River drainage, as well as 1550 steelhead from test fisheries near the mouth of each river. Differentiation among populations within rivers accounted for about 1.9 times the variation observed among years within populations, with differences between drainages less than variation among populations within drainages. In the Nass River, winter-run populations formed a distinct group from the summer-run populations. Winter-run populations were not assessed in the Skeena River watershed. Simulated mixed-stock samples suggested that variation at the 8 microsatellite loci surveyed should provide relatively accurate and precise estimates of stock composition for fishery management applications within drainages. In the Skeena River drainage in 1998, Babine River (27%) and Bulkley drainage populations (31%) comprised the main components of the returns. For the Nass River in 1998 steelhead returning to Bell-Irving River were estimated to have comprised 39% of the fish sampled in the test fishery, with another 27% of the returns estimated to be derived from Cranberry River. The survey of microsatellite variation did not reveal enough differentiation between Nass River and Skeena River populations to be applied confidently in estimation of stock composition in marine fisheries at this time.

Stock structure analysis of Megalaspis cordyla (Linnaeus, 1758) along the Indian coast based on truss network analysis

“…Determination of the population structure of exploited species is an essential component in the successful management of fisheries. Information on the stock structure of a species is useful for applications ranging from determining appropriate conservation units to estimating the stock composition in mixed-stock fisheries (Beacham et al, 2000). Carangid fishes are well suited for developing strategies for sustainable fisheries because of their natural pattern of variation, which is characterised by a "steady situation", meaning that they do not exhibit large variations in their catches from year to year (Caddy and Gulland, 1983;Bas, 1995).…”

Development of 12 polymorphic microsatellite markers in Coilia ectenes Jordan and Seale, 1905 (Clupeiformes: Engraulidae) and cross-species amplification in Coilia mystus Linnaeus, 1758

“…Number of alleles (Na), and observed (Ho) and expected (He) heterozygosities are shown for two populations from theYangtze River. All of the C. ectenes individuals successfully amplified and were scored Loci that deviated significantly from HWE application of microsatellites in fishery science is increasing e.g., in salmonids (Beacham et al 2000;Olsen et al 2000), rockfish (Sekino et al 2001, redfish (Roques et al 1999), eel (Wirth and Bernatchez 2001), grass carp (Liu et al 2009), Mnemiopsis leidyi (Reusch et al 2010), and broad whitefish (Harris and Taylor 2010). Because of the commercial importance of C. ectenes in China, it has been over-exploited and its natural abundance has severely declined in the last decades.…”

Development of Pedigree Classification Using Microsatellite and Mitochondrial Markers for Giant Grouper Broodstock (Epinephelus lanceolatus) Management in Taiwan

“…Microsatellite DNA is commonly used as a genetic identification tool due to its high polymorphism, co-dominant features and neutral mutation [12,13]. Microsatellite markers can reveal the genetic inheritance of an individual within a population [14,15], given that there is a low probability of different and non-related individuals exhibiting the same microsatellite pattern [16]. Besides, the use of the mitochondrial D-loop has been proposed as a genetic marker as well; this segment of the mitochondrion, a maternally inherited genetic material, exhibits high variability and can be used to identify sibling relationship within a population [17].…”