Analysis of microsatellite DNA resolves genetic structure and diversity of chinook salmon (Oncorhynchus tshawytscha) in California's Central Valley

2000 ◽  
Vol 57 (5) ◽  
pp. 915-927 ◽  
Author(s):  
Michael A. Banks ◽  
Vanessa K. Rashbrook ◽  
Marco J. Calavetta ◽  
Cheryl A. Dean ◽  
Dennis Hedgecock
2000 ◽  
Vol 57 (5) ◽  
pp. 915-927 ◽  
Author(s):  
Michael A Banks ◽  
Vanessa K Rashbrook ◽  
Marco J Calavetta ◽  
Cheryl A Dean ◽  
Dennis Hedgecock

We use 10 microsatellite DNA markers to assess genetic diversity within and among the four runs (winter, spring, fall, and late fall) of chinook salmon (Oncorhynchus tshawytscha) in California's Central Valley. Forty-one population samples are studied, comprising naturally spawning and hatchery stocks collected from 1991 through 1997. Maximum likelihood methods are used to correct for kinship in juvenile samples and run admixture in adult samples. Through simulation, we determine the relationship between sample size and number of alleles observed at polymorphic microsatellite markers. Most samples have random-mating equilibrium proportions of single and multilocus genotypes. Temporal and spatial genetic heterogeneity is minimal among samples within subpopulations. An FST of 0.082 among subpopulations, however, indicates substantial divergence among runs. Thus, with the exception of our discovery of two distinct lineages of spring run, genetic structure accords with the diverse chinook life histories seen in the Central Valley and provides a means for discrimination of protected populations.


1987 ◽  
Vol 44 (6) ◽  
pp. 1213-1220 ◽  
Author(s):  
Robert G. Kope

A separable virtual population analysis model is developed for Pacific salmon which utilizes aged catch and spawning escapement data. This model is applied to marked chinook salmon, Oncorhynchus tshawytscha, from California's Central Valley hatcheries using weighted least squares criteria for goodness of fit. Structural inadequacies of the model apparently produce discrepancies between predicted values and observed data that are of about the same magnitude as the observational errors in estimating the recoveries of marked fish. Some of the inadequacy of the model may be due to environmentally induced variability in population parameters, but for the marked fish used in this analysis, some of the variability is probably due to year-to-year variability in hatchery practices. From this analysis it appears that although nominal fishing effort has been relatively stable or even declining in recent years, fishing mortality has been increasing with the exception of 1983 and 1984.


2016 ◽  
Vol 6 (21) ◽  
pp. 7706-7716 ◽  
Author(s):  
Mariah H. Meek ◽  
Melinda R. Baerwald ◽  
Molly R. Stephens ◽  
Alisha Goodbla ◽  
Michael R. Miller ◽  
...  

2014 ◽  
Vol 34 (6) ◽  
pp. 1259-1269 ◽  
Author(s):  
Joseph E. Merz ◽  
Thomas M. Garrison ◽  
Paul S. Bergman ◽  
Scott Blankenship ◽  
John Carlos Garza

2010 ◽  
Vol 18 (1) ◽  
pp. 61-71 ◽  
Author(s):  
S. C. ZEUG ◽  
L. K. ALBERTSON ◽  
H. LENIHAN ◽  
J. HARDY ◽  
B. CARDINALE

Ecology ◽  
2014 ◽  
Vol 95 (5) ◽  
pp. 1431-1431 ◽  
Author(s):  
Mariah H. Meek ◽  
Molly R. Stephens ◽  
Antonia K. Wong ◽  
Katharine M. Tomalty ◽  
Bernie May ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document