Genetic Identification of Individuals and Populations

Koljonen, Marja‐Liisa; King, Timothy L.; Nielsen, Einar Eg

doi:10.1002/9780470995846.ch9

Cited by 9 publications

(7 citation statements)

References 66 publications

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“…Of these rivers, samples are included in the baseline from all except one minor river. Another potential source of bias is that the populations sampled for the baseline may not, in terms of allele frequencies, be representative of the catchments from which they are taken (Koljonen et al 2007). This includes both temporal stability of allele frequencies and accounting for the presence of different genetic groupings within catchments.…”

Section: Discussionmentioning

confidence: 99%

Investigating patterns of straying and mixed stock exploitation of sea trout, Salmo trutta, in rivers sharing an estuary in south‐west England

King

Hillman

Elsmere

et al. 2016

Fisheries Management Eco

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Fisheries Management and EcologyFor effective management, information on the stock composition of a fishery is essential. 5Here, we highlight the utility of a resident trout microsatellite baseline to determine the 6 origins of sea trout entering the Rivers Tamar, Tavy and Lynher in southwest England -all 7 share a common estuary and have major runs of sea trout. There is a high degree of 8 geographical structuring of the genetic variation in the baseline rivers. Testing with simulated 9 and real datasets showed fish can be assigned to reporting group with a high degree of 10 accuracy. Mixed stock analysis of over 1000 sea trout showed that fish entering the Tamar 11 and Tavy constituted mixed stocks. Significantly, in the Tamar, non-natal origin sea trout are 12 restricted to the lower catchment. As well as providing insight into sea trout behaviour, this 13 study also has important implications for the management of recreational rod-and-line 14 The perceived wisdom is that anadromous species such as salmon and trout, after spending 22 time feeding at sea, return to their natal river to spawn. This homing fidelity can lead to 23 reduced gene flow between rivers and gives rise to the strong genetic structure found in many 24 salmonid species (Dionne et al. 2008; Lohmann et al. 2008). 25 26 However, straying is known to occur and is thought to be an important evolutionary feature of 27 salmonids, playing an adaptive role over both short and long time scales. Straying is 28 especially important in colonization, re-colonization and range expansion (Quinn 1984; 29 Tallman 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 Rivers' and as such is subject to intensive monitoring programmes in order to develop an 74 understanding of salmonid stock and fishery processes, and to improve the wider management 75 of sea trout and salmon. The Tamar monitoring programme includes extensive juvenile 76 electrofishing surveys, the trapping and tagging of smolts during their spring migration and 77 the trapping of returning adults in a trap immediately below a fish pass adjacent to a weir at 78 the tidal limit of the river (Gunnislake). Harris (2006) has provided a detailed description of 79 the rod-caught sea trout stock within the River Tamar. Tamar sea trout typically smolt after 80 two years in the river. The majority of the rod catch represents fish that returned to the river in 81 the same year that they smolted (known variously as school peal, finnock or whitling). Of the 82 repeat spawning fish, some were found to have spawned up to four times, however, the 83 majority had only a single spawning mark (Harris 2006). There is also temporal variation in 84 the composition of the sea trout run -multiple spawning fish enter the river early in the year, 85 while finnock start to return in July. 86 87 to increase sample size, fry were collected from some ...

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Section: Discussionmentioning

confidence: 99%

Investigating patterns of straying and mixed stock exploitation of sea trout, Salmo trutta, in rivers sharing an estuary in south‐west England

King

Hillman

Elsmere

et al. 2016

Fisheries Management Eco

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“…2001; Manel et al. 2005) and mixed stock analysis (MSA) (Pella & Masuda 2001; Koljonen et al. 2007), both of which are becoming widely applied in marine fishes (Waples et al.…”

Section: Global and Local Implications Of Marine Fish Population Genomentioning

confidence: 99%

“…Otolith growth is closely linked to fish growth, allowing seasonal growth to be identified in the otolith in a pattern similar to tree rings. to 'genetic stock identification' (GSI) methods based on 'individual assignment' (IA) (Hansen et al 2001;Manel et al 2005) and mixed stock analysis (MSA) (Pella & Masuda 2001;Koljonen et al 2007), both of which are becoming widely applied in marine fishes (Waples et al 2008), genomics is also expected to vastly improve the statistical power to distinguish among populations. The ability to assign individual fish and ⁄ or the proportion of a (fisheries) sample to population of origin depends critically on the number of genetic markers used and the level of genetic differentiation among populations (Manel et al 2005).…”

Section: Management and Conservationmentioning

confidence: 99%

Population genomics of marine fishes: identifying adaptive variation in space and time

Nielsen

Hemmer‐Hansen

Larsen³

et al. 2009

Molecular Ecology

286

304

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Studies of adaptive evolution have experienced a recent revival in population genetics of natural populations and there is currently much focus on identifying genomic signatures of selection in space and time. Insights into local adaptation, adaptive response to global change and evolutionary consequences of selective harvesting can be generated through population genomics studies, allowing the separation of the effects invoked by neutral processes (drift-migration) from those due to selection. Such knowledge is important not only for improving our basic understanding of natural as well as human-induced evolutionary processes, but also for predicting future trajectories of biodiversity and for setting conservation priorities. Marine fishes possess a number of features rendering them well suited for providing general insights into adaptive genomic evolution in natural populations. These include well-described population structures, substantial and rapidly developing genomic resources and abundant archived samples enabling temporal studies. Furthermore, superior possibilities for conducting large-scale experiments under controlled conditions, due to the economic resources provided by the large and growing aquaculture industry, hold great promise for utilizing recent technological developments. Here, we review achievements in marine fish genomics to date and highlight potential avenues for future research, which will provide both general insights into evolution in high gene flow species, as well as specific knowledge which can lead to improved management of marine organisms.

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“…'The most reliable Se values for reference rocks have been obtained by radiochemical neutron activation analysis (1)(2)(3). Other techniques which were employed include fluorimetry ( 4 ) , spectrophotometry after separation by distillation ( 5 ) , generation of selenium hydri.de with determination by atomic absorption spectrophotometry (AAS), flameless AAS or differential pulse cathodic stripping voltametry after decomposition in an oxygen flow or by melting in a static system (6). Obvjously the direct selenium hydride technique as reported by Hermann (7) is not free from interferences when applied to matrices as complex as geological samples with sub-ppm concentration of selenium ( 8 ) .…”

Section: B U R S Depending On Amount Of Sample T O Be V O L a T I L Imentioning

confidence: 99%

“…The available methods have the drawbacks of either requiring sophisticated and expensive equipment, needing much sample ( 5 ) , and/or being extremely time consuming. Furthermore, the risk of contamination or loss of the element to be determined is rather large with all methods involving wet chemistry.…”

Section: B U R S Depending On Amount Of Sample T O Be V O L a T I L Imentioning

confidence: 99%

Determination of Selenium in Geochemical Reference Samples Using Flameless Atomic Absorption Spectrometry

Erzinger

Puchelt

1980

Geostandards Newsletter

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Sixteen international and six inter‐laboratory geochemical reference samples have been analysed for their selenium content. No previous Sedata are available for thirteen of them. Selenium has been separated from silicate matrix by volatilization and was determined with flameless atomic absorption spectrometry. An outline of the procedure is given. The limit of detection is 10 ng Se per 1 g of sample. Time required for one full analysis is 1.2 to 2.5 hours depending on amount of sample to be volatilized.

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Genetic Identification of Individuals and Populations

Cited by 9 publications

References 66 publications

Investigating patterns of straying and mixed stock exploitation of sea trout, Salmo trutta, in rivers sharing an estuary in south‐west England

Investigating patterns of straying and mixed stock exploitation of sea trout, Salmo trutta, in rivers sharing an estuary in south‐west England

Population genomics of marine fishes: identifying adaptive variation in space and time

Determination of Selenium in Geochemical Reference Samples Using Flameless Atomic Absorption Spectrometry

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