Back to Search
Start Over
A quantitative genetic analysis of life-history traits and lifetime reproductive success in reintroduced Chinook salmon
- Source :
- Conservation Genetics. 20:781-799
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Reintroductions are widely implemented as a means of reestablishing wild populations and genetic parentage methods can be used in concert with these efforts to monitor and evaluate efficacy. In addition to understanding demographic outcomes, reconstructed pedigrees, when combined with phenotypic data, can provide insight into the adaptive potential of reintroduced individuals. Here, we examined the heritability and evolvability of life-history traits and lifetime reproductive success in two threatened Chinook salmon populations undergoing reintroduction to historical habitats above dams in Oregon, USA, using previously-developed multigenerational genetic pedigrees. All of the examined life-history traits: length-at-maturity, age-at-maturity, and arrival timing to the spawning grounds, and lifetime reproductive success exhibited significant narrow-sense heritabilities and evolvabilities. There was also a detectable influence of parental effects (i.e., paternal or maternal effects) on life-history trait variation, suggesting that in addition to genetic effects, nongenetic inheritance mechanisms are influencing life-history diversity in the populations. Additionally, our analyses revealed evidence of natural selection on the date of reintroduction, although the form and intensity of selection differed between the two populations; the forms of selection also point to the potential for phenotype-environment mismatch under some conditions. Overall, our results suggest that these threatened Chinook salmon populations exhibit significant adaptive potential, a factor that should be important to the longer-term success of recovery efforts.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Reproductive success
Inheritance (genetic algorithm)
Maternal effect
Biology
Heritability
010603 evolutionary biology
01 natural sciences
Life history theory
Evolvability
03 medical and health sciences
030104 developmental biology
Evolutionary biology
Threatened species
Genetics
Ecology, Evolution, Behavior and Systematics
Selection (genetic algorithm)
Subjects
Details
- ISSN :
- 15729737 and 15660621
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Conservation Genetics
- Accession number :
- edsair.doi...........ed73a3e018f34dbaf4df48185dec5d47
- Full Text :
- https://doi.org/10.1007/s10592-019-01174-4