An analysis of genetic stock identification on a small geographical scale using microsatellite markers, and its application in the management of a mixed-stock fishery for Atlantic salmon Salmo salar in Ireland

2013 ◽  
Vol 82 (6) ◽  
pp. 2080-2094 ◽  
Author(s):  
D. Ensing ◽  
W. W. Crozier ◽  
P. Boylan ◽  
N. O'Maoiléidigh ◽  
P. McGinnity
Keyword(s):  
Atlantic Salmon ◽  
Microsatellite Markers ◽  
Salmo Salar ◽  
Stock Identification ◽  
Genetic Stock ◽  
Atlantic Salmon Salmo Salar ◽  
Genetic Stock Identification ◽  
Geographical Scale ◽  
Mixed Stock

Comprehensive microsatellite baseline for genetic stock identification of Atlantic salmon (Salmo salar L.) in northernmost Europe

2017 ◽  
Vol 74 (8) ◽  
pp. 2159-2169 ◽  
Author(s):  
Mikhail Ozerov ◽  
Juha-Pekka Vähä ◽  
Vidar Wennevik ◽  
Eero Niemelä ◽  
Martin-A. Svenning ◽  
...  
Keyword(s):  
Atlantic Salmon ◽  
Salmo Salar ◽  
Stock Identification ◽  
Genetic Stock ◽  
Atlantic Salmon Salmo Salar ◽  
Genetic Stock Identification

Distinguishing between resident and migrating Atlantic salmon (Salmo salar) stocks by genetic stock composition analysis

1995 ◽  
Vol 52 (4) ◽  
pp. 665-674 ◽  
Author(s):  
Marja-Liisa Koljonen
Keyword(s):  
Atlantic Salmon ◽  
Salmo Salar ◽  
Composition Analysis ◽  
The Baltic Sea ◽  
Genetic Stock ◽  
Atlantic Salmon Salmo Salar ◽  
Genetic Stock Identification ◽  
The Baltic ◽  
Catch Composition ◽  
Mixed Stock

The possibility of using the genetic stock identification (GSI) method to distinguish between individual Atlantic salmon (Salmo salar) stocks and stock groups in Finnish catches was studied. In the Baltic Sea, the Atlantic salmon is a target of a mixed-stock fishery, and information about stock composition would be valuable for the management of the species. The salmon catches on the Finnish west coast consist of two seasonally variable components: a group of northern stocks migrating through the area to the Baltic main basin and the resident Neva salmon. The migratory component includes two endangered wild stocks (Tornionjoki and Simojoki). The allele frequency differences at four polymorphic loci among the stocks allowed reliable catch composition estimates to be made of the migratory and resident components; one stock (Oulujoki) from the northern group could also be identified with reasonable accuracy. Northern migrating stocks accounted for over half the catches at the time of this study. The estimate of natural (nonhatchery) stocks was very low (3% in total).

scholarly journals Genetic stock identification of Atlantic salmon (Salmo salar) populations in the southern part of the European range

BMC Genetics ◽  
2010 ◽  
Vol 11 (1) ◽  
pp. 31 ◽  
Author(s):  
Andrew M Griffiths ◽  
Gonzalo Machado-Schiaffino ◽  
Eileen Dillane ◽  
Jamie Coughlan ◽  
Jose L Horreo ◽  
...  
Keyword(s):  
Atlantic Salmon ◽  
Salmo Salar ◽  
Stock Identification ◽  
Genetic Stock ◽  
Atlantic Salmon Salmo Salar ◽  
Genetic Stock Identification

scholarly journals A microsatellite baseline for genetic stock identification of European Atlantic salmon (Salmo salar L.)

2017 ◽  
Vol 75 (2) ◽  
pp. 662-674 ◽  
Author(s):  
John Gilbey ◽  
Jamie Coughlan ◽  
Vidar Wennevik ◽  
Paulo Prodöhl ◽  
Jamie R Stevens ◽  
...  
Keyword(s):  
Atlantic Salmon ◽  
Salmo Salar ◽  
Life Stage ◽  
Stock Identification ◽  
Genetic Stock ◽  
Data Set ◽  
Atlantic Salmon Salmo Salar ◽  
North East ◽  
The North ◽  
Russian River

Abstract Atlantic salmon (Salmo salar L.) populations from different river origins mix in the North Atlantic during the marine life stage. To facilitate marine stock identification, we developed a genetic baseline covering the European component of the species’ range excluding the Baltic Sea, from the Russian River Megra in the north-east, the Icelandic Ellidaar in the west, and the Spanish Ulla in the south, spanning 3737 km North to South and 2717 km East to West. The baseline encompasses data for 14 microsatellites for 26 822 individual fish from 13 countries, 282 rivers, and 467 sampling sites. A hierarchy of regional genetic assignment units was defined using a combination of distance-based and Bayesian clustering. At the top level, three assignment units were identified comprising northern, southern, and Icelandic regions. A second assignment level was also defined, comprising eighteen and twenty-nine regional units for accurate individual assignment and mixed stock estimates respectively. The baseline provides the most comprehensive geographical coverage for an Atlantic salmon genetic data-set, and a unique resource for the conservation and management of the species in Europe. It is freely available to researchers to facilitate identification of the natal origin of European salmon.

scholarly journals Coastal migration patterns of the four largest Barents Sea Atlantic salmon stocks inferred using genetic stock identification methods

2019 ◽  
Vol 76 (6) ◽  
pp. 1379-1389 ◽  
Author(s):  
Martin-A Svenning ◽  
Morten Falkegård ◽  
Eero Niemelä ◽  
Juha-Pekka Vähä ◽  
Vidar Wennevik ◽  
...  
Keyword(s):  
Atlantic Salmon ◽  
Barents Sea ◽  
Catch Per Unit Effort ◽  
Genetic Stock ◽  
Migration Patterns ◽  
The North ◽  
Genetic Stock Identification ◽  
Temporal And Spatial ◽  
Catch Composition ◽  
Mixed Stock

Abstract Combining detailed temporal and spatial catch data, including catch per unit effort, with a high-resolution microsatellite genetic baseline facilitated the development of stock-specific coastal migration models for the four largest Atlantic salmon (Salmo salar) populations, Målselv, Alta, Tana and Kola rivers, contributing to the Barents Sea mixed-stock fishery. Målselv salmon displayed a restricted coastal movement with 85% of the fish captured within 20 km of their natal river. Kola salmon also demonstrated limited coastal movements in Norwegian waters, with most (> 90%) caught in eastern Finnmark. Multi-sea-winter (MSW) Alta salmon were caught west of Alta fjord across a broader stretch of coast while one-sea-winter (1SW) fish migrated more extensively along the coast prior to river entry. Tana salmon, however, were detected over a broad expanse (600 km) of the North-Norwegian coast. For all populations MSW salmon dominating catches earlier in the season (May–June) while 1SW fish were more common from July to August. This study provides an example of how traditional catch and effort information may be combined with genetic methods to obtain insights into spatial and temporal changes in Atlantic salmon catch composition and their associated migration patterns in a mixed-stock coastal fishery.

Application of Genetic Stock Identification and Parentage‐Based Tagging in a Mixed‐Stock Recreational Chinook Salmon Fishery

2020 ◽  
Author(s):  
Alexander J. Jensen ◽  
Carl B. Schreck ◽  
Jon E. Hess ◽  
Sandra Bohn ◽  
Kathleen G. O’Malley ◽  
...  
Keyword(s):  
Chinook Salmon ◽  
Stock Identification ◽  
Genetic Stock ◽  
Genetic Stock Identification ◽  
Mixed Stock ◽  
Salmon Fishery

scholarly journals Genetic stock identification of Atlantic salmon and its evaluation in a large population complex

2017 ◽  
Vol 74 (3) ◽  
pp. 327-338 ◽  
Author(s):  
Juha-Pekka Vähä ◽  
Jaakko Erkinaro ◽  
Morten Falkegård ◽  
Panu Orell ◽  
Eero Niemelä
Keyword(s):  
Atlantic Salmon ◽  
Large Population ◽  
Identification Accuracy ◽  
Lower Sensitivity ◽  
Stock Identification ◽  
Genetic Structuring ◽  
Genetic Stock ◽  
Factors Affecting ◽  
Genetic Stock Identification ◽  
Genetic Structure And Diversity

Addressing biocomplexity in fisheries management is a challenge requiring an ability to differentiate among distinct populations contributing to fisheries. We produced extensive genetic baseline data involving 36 sampling locations and 33 microsatellite markers, which allowed characterization of the genetic structure and diversity in a large Atlantic salmon (Salmo salar) population complex of the River Teno system, northernmost Europe. Altogether, we identified 28 hierarchically structured and genetically distinct population segments (global FST = 0.065) corresponding exceptionally well with their geographical locations. An assessment of factors affecting the stock identification accuracy indicated that the identification success is largely defined by the interaction of genetic divergence and the baseline sample sizes. The choice between the two statistical methods tested for performance in genetic stock identification, ONCOR and cBAYES, was not critical, albeit the latter demonstrated slightly higher identification accuracy and lower sensitivity to population composition of the mixture sample. The strong genetic structuring among populations together with a powerful marker system allowed for accurate stock identification of individuals and enabled assessment of stock compositions contributing to mixed-stock fisheries.

Morphometric and meristic variability among North American Atlantic salmon (Salmo salar)

1988 ◽  
Vol 66 (2) ◽  
pp. 310-317 ◽  
Author(s):  
Ross R. Claytor ◽  
Hugh R. MacCrimmon
Keyword(s):  
New York ◽  
Atlantic Salmon ◽  
Malate Dehydrogenase ◽  
Salmo Salar ◽  
New York State ◽  
Stock Identification ◽  
Identification Problems ◽  
Morphometric Characters ◽  
Atlantic Salmon Salmo Salar ◽  
Meristic Variation

To investigate the morphometric and meristic variation of Atlantic salmon (Salmo salar) in North America, juveniles from 16 anadromous and 5 nonanadromous populations were collected from an area extending from Labrador to New York state. The findings from the analysis of these characters were supplemented by an examination of malate dehydrogenase variation on a subset of specimens from selected populations. Newfoundland – Labrador and Gaspé – Maritime populations were found to belong to distinct regional stocks. This conclusion was supported by the accuracy of the morphometric discriminant function and a discontinuity in Mdh-3,4(100) allele frequencies. The lack of a clinal relationship between morphometric characters, latitude, longitude, and number of degree-days above 7 °C also suggested a pattern of distinct regional stocks. Considerable overlap among populations was found for meristic characteristics, and these were considered unsuitable for stock identification purposes. While no somatic differences were found between anadromous and nonanadromous populations, there were significant differences in Mdh-3,4(100) frequencies. The congruence of morphometric and malate dehydrogenase characteristics in delineating regional stocks emphasizes the importance of a multiple character approach in solving stock identification problems.

Atlantic Salmon (Salmo salar) Stocks and Management Implications in the Canadian Atlantic Provinces and New England, USA

1981 ◽  
Vol 38 (12) ◽  
pp. 1612-1625 ◽  
Author(s):  
Richard L. Saunders
Keyword(s):  
Atlantic Salmon ◽  
New England ◽  
Salmo Salar ◽  
Environmental Influence ◽  
Function Analysis ◽  
Significant Degree ◽  
Growth Patterns ◽  
Point Of View ◽  
Atlantic Salmon Salmo Salar ◽  
Mixed Stock

This paper discusses the diversity of Atlantic salmon (Salmo salar) expressed as anatomical, physiological, and behavioral differences among stocks in the Atlantic Provinces of Canada and New England, USA. Evidence is reviewed for environmental and genetic influence on a number of stock-specific traits. Unique qualities of particular stocks are described. The loss of salmon from much of its former range is documented and discussed in relation to stock characteristics important in rehabilitation efforts. The mixed stock fisheries in Greenland and Newfoundland are considered from the point of view of interception. It is concluded that identification and management of specific stocks in the Greenland fishery are impracticable at present but that identification of North American components, using discriminant function analysis of scale growth patterns and smolt tagging, should be continued. In Newfoundland knowledge gained from tagging studies allows a significant degree of management of stocks from mainland Canada together with those from Newfoundland and Labrador. Since it is impracticable now to manage the fisheries off Greenland and Newfoundland and off the major Canadian Maritimes salmon-producing rivers—the Miramichi, Restigouche, and Saint John—in strict recognition of stocks, it is suggested that it may be possible to characterize an assemblage of like stocks from given areas and to identify and manage for these in large mixed-stock fisheries. Possible impacts of hatchery plantings are discussed in relation to prospects of success and effects on native stocks. It is concluded that we have the biological basis for evaluating likelihood of success and degree of danger to native stocks from extensive plantings of hatchery-reared juvenile salmon and that such evaluation should be conducted when embarking on projects involving use of hatchery-reared fish as part of a major salmon enhancement program in Atlantic Canada.Key words: genetics, environmental influence, rehabilitation, enhancement, interception, hatcheries, aquaculture

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