Evidence map›Paper›PMID 24684698›Full record

ArticleBMC evolutionary biology2014

Molecular pedigree reconstruction and estimation of evolutionary parameters in a wild Atlantic salmon river system with incomplete sampling: a power analysis.

Tutku Aykanat, Susan E Johnston, Deirdre Cotter, Thomas F Cross, Russell Poole, Paulo A Prodőhl, Thomas Reed, Ger Rogan, Philip McGinnity, Craig R Primmer

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Article in BMC evolutionary biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  11. First genealogy for a wild marine fish population reveals multigenerational philopatry.Proceedings of the National Academy of Sciences of the United States of America · 2016
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Tutku AykanatDivision of Genetics and Physiology, Department of Biology, University of Turku, Turku, Finland. tutayk@utu.fi.
Susan E Johnston
Deirdre Cotter
Thomas F Cross
Russell Poole
Paulo A Prodőhl
Thomas Reed
Ger Rogan
Philip McGinnity
Craig R Primmer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPedigree reconstruction using genetic analysis provides a useful means to estimate fundamental population biology parameters relating to population demography, trait heritability and individual fitness when combined with other sources of data. However, there remain limitations to pedigree reconstruction in wild populations, particularly in systems where parent-offspring relationships cannot be directly observed, there is incomplete sampling of individuals, or molecular parentage inference relies on low quality DNA from archived material. While much can still be inferred from incomplete or sparse pedigrees, it is crucial to evaluate the quality and power of available genetic information a priori to testing specific biological hypotheses. Here, we used microsatellite markers to reconstruct a multi-generation pedigree of wild Atlantic salmon (Salmo salar L.) using archived scale samples collected with a total trapping system within a river over a 10 year period. Using a simulation-based approach, we determined the optimal microsatellite marker number for accurate parentage assignment, and evaluated the power of the resulting partial pedigree to investigate important evolutionary and quantitative genetic characteristics of salmon in the system.

resultsWe show that at least 20 microsatellites (ave. 12 alleles/locus) are required to maximise parentage assignment and to improve the power to estimate reproductive success and heritability in this study system. We also show that 1.5 fold differences can be detected between groups simulated to have differing reproductive success, and that it is possible to detect moderate heritability values for continuous traits (h2 ~ 0.40) with more than 80% power when using 28 moderately to highly polymorphic markers.

conclusionThe methodologies and work flow described provide a robust approach for evaluating archived samples for pedigree-based research, even where only a proportion of the total population is sampled. The results demonstrate the feasibility of pedigree-based studies to address challenging ecological and evolutionary questions in free-living populations, where genealogies can be traced only using molecular tools, and that significant increases in pedigree assignment power can be achieved by using higher numbers of markers.

Indexed as

Microsatellite RepeatsPedigreeAllelesAnimalsBiological EvolutionComputer SimulationFemaleMaleRiversSalmo salar

Identifiers

PMID24684698
PMCPMC4021076

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.