Columbia Basin Fish and Wildlife Program Columbia Basin Fish and Wildlife Program
SOW Report
Contract 76914 REL 2: 2003-054-00 EXP REPRO OF STEELHEAD IN HOOD RIV
Project Number:
Title:
Evaluate the Relative Reproductive Success of Hatchery-Origin and Wild-Origin Steelhead Spawning Naturally in the Hood River
Stage:
Closed
Area:
Province Subbasin %
Basinwide - 100.00%
Contract Number:
76914 REL 2
Contract Title:
2003-054-00 EXP REPRO OF STEELHEAD IN HOOD RIV
Contract Continuation:
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77259: 2003-054-00 EXP REPRO OF STEELHEAD IN HOOD RIV
  • 76914 REL 4: 2003-054-00 EXP REPRO OF STEELHEAD IN HOOD RIVER
Contract Status:
Closed
Contract Description:
PROJECT COORDINATION AND PARTNERSHIPS
The genetics work has been, and continues to be, carried out by Michael Blouin at Oregon State University.  This project was originally coordinated with the Hood River steelhead hatchery and research program, funded by Bonneville Power Administration and administered and implemented by the Oregon Department of Fish and Wildlife and the Warm Springs Tribes (project numbers 198805307, 198805308, 198805304 and 198805303).  These projects included operation and maintenance of the Oak Springs and Parkdale hatchery facilities, and operation and maintenance of the fish collection and handling facility at Powerdale Dam, as well as database management and data analysis on the part of ODFW.   The work continues in cooperation with ODFW biologists, both in continued analysis of the samples that were originally collected at Powerdale Dam and in ongoing experiments conducted mainly at the Oregon Hatchery Research Center (OHRC), an ODFW facility run in partnership with Oregon State University

LOCATION OF PROJECT
Steelhead samples were collected at the former Powerdale Dam, Hood River, under supervision of Rod French, ODFW, who also coordinated aging of scale samples.  All laboratory work and genetics data analysis continues to be conducted in the laboratory of Michael Blouin at Oregon State University.  We continue to use those pedigreed samples from the Hood River in ongoing studies on the genetics of domestication.  We also conduct experimental work at the OHRC using coastal stocks of steelhead to test hypotheses about adaptation to captivity that were generated by the Hood River data.  

BACKGROUND AND RESULTS TO DATE FROM THE HOOD RIVER
The Hood River supports two populations of steelhead, a summer run and a winter run.  They spawned only above the Powerdale Dam, which is a complete barrier to all salmonids.  From 1991 to 2010 every adult passed above the dam was measured, cataloged and sampled for scales or fin snip.  Therefore, we have a DNA sample from every adult steelhead that went over the dam to potentially spawn in the Hood River from 1991 to 2010, when the dam was removed.  Similar numbers of hatchery and wild fish were passed above the dam during the last decade.  During the 1990's "old" domesticated hatchery stocks of each run (multiple generations in the hatchery, out-of-basin origin) were phased out, and conservation hatchery programs were started for the purpose of supplementing the two wild populations (using wild broodstock; hereafter F1 hatchery fish).  The winter-run F1s were started in 1991, and the summer-run F1s were started in 1997.  In a supplementation program such as this, wild-born broodstock are used as parents in the hatchery in an attempt to circumvent the low fitness induced by multiple generations of selection in the hatchery.  This 19 years of samples gave us the ability to estimate, via microsatellite-based pedigree analysis, the relative total reproductive success (adult to adult production) of hatchery (H) and wild (W) fish for two populations (summer and winter), over multiple brood years.  We now have an almost 4-generation pedigree that is complete for all anadromous fish (note, however, that we are missing samples from resident fish that apparently are the parents of many steelhead).  We compared the relative success of two "old" hatchery stocks vs. wild fish (the winter run “Big Creek” stock and the summer run “Skamania” stock), and showed they have much lower total fitness than wild fish when both breed in the wild (Araki et al., 2007a).  In that paper we also concluded that the winter-run F1 were not significantly different from wild fish, based on 3 run years of data.  But in a subsequent analysis based on six run years of data the difference was significant, with the F1 winter run fish averaging about 85% the fitness of wild fish (Araki et al., 2007d).  

One problem with interpreting an observed difference in fitness between fish raised in a hatchery and fish raised in the wild is that the difference can have a genetic and/or environmental basis (because the H fish experienced a very different environment during the juvenile phase).  However, in Araki et al. (2007d) we were able to compare the first generation fish with second-generation hatchery fish raised in the same hatchery.  These data suggest that the second generation fish have ~55% the reproductive fitness of the first generation fish (Araki et al., 2007d).  Because both types of fish experienced identical environments, the difference between them must be genetically based.  This result also suggests that the decline in fitness that results from additional generations of selection in the hatchery can occur very quickly.  

Thus, we have demonstrated a genetically-based effect of hatchery culture that reduces fitness in the wild and that accumulates with each generation of hatchery culture.  Nevertheless, even if captive-bred individuals are genetically different and produce fewer offspring than wild individuals, adding them to a wild population can still give a demographic boost without substantial harm to a wild population that is below carrying capacity if (1) the genetic effects do not persist into the next generation (i.e., natural selection purges the offspring generation of their deleterious alleles before they reproduce), and (2) enough captive-bred individuals are added each generation to make up for their lower productivity.   If the first condition is not true, however, genetic effects will accumulate over time, potentially leading to a downward spiral in the absolute fitness of the supplemented wild population.  Thus, one key question is whether the wild-born descendents of captive-bred fish are less reproductively successful than the descendents of wild fish. In Araki et al. (2009) we analyzed the fitness of wild-born fish as a function of their parentage.  We found that wild-born offspring of two first-generation hatchery fish averaged 37% the fitness of the offspring of wild fish, while offspring of hatchery-by-wild crosses averaged 87% (Araki et al., 2009).  These results suggest that the hatchery genetic load is not purged from the wild-born population after a full generation of natural selection in the wild.  

We subsequently showed that F1 winter-run  hatchery fish make better broodstock than do wild fish (in terms of number of returning adult hatchery offspring produced)(Christie et al., 2012a), while at the same time performing worse in the wild.  We also showed an interesting tradeoff in which wild broodstock that successfully produced many returning adult hatchery offspring, produced offspring that performed poorly in the wild and vice versa (Christie et al., 2012a).  These two pieces of information strongly suggest that strong domestication selection was acting in the hatchery to make fish rapidly adapt to hatchery conditions. Interestingly, a similar pattern has now been observed in Chinook, so the result does not appear to be limited to steelhead (Ford et al., 2012).  

To summarize the pedigree-based work to date on the Hood River, we have shown: (1) the older, multi-generation, summer and winter hatchery stocks from the Hood River had very low fitness relative to wild fish (10-30%).  This result is consistent with results of many other studies on old stocks (Berejikian and Ford, 2004; Araki et al., 2008). (2) first generation winter run fish have significantly lower fitness than wild fish (about 85%), second generation fish do even worse, and the effect is genetically based. (3) The genetic effects of hatchery culture identified for the winter-run stock persist into the first wild-born generation, with the fitness of wild-born fish depending on whether their parents were both wild, both hatchery or one of each.  Again, the common environment experienced by these three types of wild fish suggests a genetic effect.  Finally, the data in Christie et al. (2012a) strongly suggest that the above effects (loss of fitness in the wild) result from rapid adaptation to the hatchery, rather than some generalized genomic deterioration.

In addition to the three foci of our research, we have addressed related questions that are relevant to hatchery uncertainties research.  These topics include the effects of hatchery and resident fish on the effective size of the Hood River steelhead population (Araki et al., 2007b; Christie et al., 2012b) and methodological work on methods for fitness estimation (Araki and Blouin, 2005; Christie et al., 2011) and for estimation of effective size (Araki et al., 2007c).  We also tested whether residualized hatchery fish are a significant route of gene flow from the hatchery into the wild steelhead population – they aren’t (Christie et al., 2011).   However, that work did illustrate how important the resident, wild fish are to the genetic integrity of the anadromous, steelhead population. In other work, we developed new pedigree analysis methods (e.g. SOLOMON software; Christie et al., 2013a), and extended our analyses of the consequences of small effective population size in the hatchery broodstock (Christie et al., 2013b).  In that last publication we show that inbreeding between related hatchery fish on the spawning grounds cannot explain their low fitness relative to wild fish.   Other, recent work includes:  a review paper on the fitness of early-generation hatchery fish from published studies available to date for which data on the reproductive success of F1 or integrated stock hatchery fish has been evaluated in their stream of origin (Christie et al., 2014); a study on why Hood River wild steelhead have a female-biased sex ratio while hatchery steelhead have a 50:50 sex ratio (Thompson et al., 2014); a transcriptome for steelhead that others can use for RNAseq (gene expression) studies on O. mykiss (Fox et al., 2014); and an analysis of environmental factors that may influence body size at release in hatchery Hood River steelhead (Thompson et al., 2016).  In that paper we showed that spawn date can have a significant effect, presumably owing to the fact that the earliest clutches are cooled to slow their development until all the families can be ponded at the same time.  Most recently, we used our steelhead pedigree to study the fitness consequences of variation in life history traits, including single vs. repeat-spawners (itero- vs. semelparity), and age at return (Christie et al., 2018).  We showed that repeat spawners have double the lifetime reproductive success of single spawners, but that they invest less in their first spawning than do single spawners.  Thus, the life history polymorphism is likely maintained by differential allocation of energy to initial spawning vs. ocean survival as kelts (spawned fish that return to sea).   More remarkably, we found evidence that variation in age at return among females is maintained by negative frequency dependent selection.  We plan to continue to use the Hood River pedigree and associated DNA samples to continue to study the genetics of adaptation to hatcheries, and the basic biology of steelhead.
  A full bibliography of our work resulting from BPA funding through 2016 can be found in Project Attachments (file: “Bibliography to 2016”).   Most of those plus subsequent papers are available as pdfs in Project Documents on cbfish.org.

CURRENT AND FUTURE WORK
As described above, there now exists substantial evidence that even early-generation hatchery salmonids have lower  fitness than wild fish in the wild, and strong evidence from steelhead that the effect is genetic and owing to adaptation to captivity.  So we believe that now the most important research question is to figure out how to modify hatchery culture conditions to reduce the rate of adaptation to captivity.  

Because size at release is positively correlated with survival at sea, one plausible hypothesis to explain rapid domestication in hatcheries is that hatcheries select for physiological or behavioral traits that promote fast growth in captivity (this might be especially true for steelhead, which are raised to smolting in one year versus the normal two years that they take in the wild).   If those favored traits are maladaptive in the wild, then that could explain why hatchery fish quickly evolve to have lower reproductive success than natural-origin fish in the wild environment.  Support for this hypothesis comes from scale-aging and pedigree data that show the average size at smolting of steelhead that survived to return as adults to the Hood River was much larger than the average size of all smolts from the same cohort at release (Thompson et al., 2018).  Therefore, in our experimental work we have been using growth rate as our measure of performance in the hatchery.

The two main questions we aim to answer are: (1) what traits are under selection in the hatchery? And (2) what hatchery conditions cause strong selection on those traits?  Answering these questions would then tell us how one might modify hatchery culture conditions to reduce the selection pressures that cause such rapid domestication.  This would allow managers to produce hatchery fish that are more like wild fish and thus pose less genetic risk to wild populations.  We are taking three main approaches to answer these questions.

(1) The first approach has been to vary environmental conditions in the hatchery that we suspect might exacerbate selection.  Then we test whether the modified conditions produce fish that show less variation among families in performance in the hatchery than do the standard conditions.  Under standard conditions we see large variance among families in size at release, which means large opportunity for selection.  If we can find environmental conditions that reduce that variance, then there would be less selection among families, and a slower rate of adaptation to the hatchery.  This experimental work has been going on at the Oregon Hatchery Research Center (originally funded by BPA, but now with matching funding from the ODFW), and now at OSU’s Aquatic Animal Health Lab.  Environmental conditions we have been studying include crowding levels (density), feed type and feeding methods, and environmental complexity (including flowing water in circular tanks).  To date we have rejected the hypothesis that increased crowding in the hatchery increases the opportunity for domestication selection (Thompson and Blouin, 2015).  Tests of the other environmental conditions are ongoing.  

(2) The second approach has been to test candidate behavioral and physiological traits that might be under selection.  To date we have shown that fast growing families tend to be more dominant than slow growing families (Thompson and Blouin, 2016), and are currently testing whether other measures of boldness and activity correlate with family growth rate.  This is the focus of our FY 2019 SOW.

(3) In a third approach to figure out what traits are under selection, we have used genome-scan methods to try to identify genes that have responded to selection in hatcheries.  In Christie et al., (2016) we compared the genome-wide patterns of gene expression offspring of HxH, HxW, WxH and WxW crosses raised in a common environment.  We found many differentially-expressed genes between HxH and WxW fish, and showed that the difference was not a maternal effect.   Genes involved in wound healing, immunity and metabolism were over-represented in the set of differentially expressed genes, suggesting that selection in hatcheries may favor fish with enhanced scope for growth and/or ability to repair damage from aggressive interactions.  We recently did a genome-wide association analysis (GWAS) on H and W steelhead from the Hood River, the Wenatchee River (Ford et al., 2016) and Little Sheep Creek (Berntson et al., 2011).  We found no genomic regions that were significantly associated with having been through a hatchery in any dataset, although the Omy5 chromosomal inversion was a weak outlier in the Hood River (unpub. data).  The Omy5 inversion is interesting, as the polymorphism is associated with variation in growth rate and residency/anadromy (Miller et al., 2012; Pearse et al., 2014).  So this result warrants further exploration.  Nevertheless, the lack of obvious, major-effect loci suggests that whatever genetic variation is under selection is probably polygenic in origin, owing to many genes of small effect rather than one or a few of large effect.  This is not a surprising result, but it was important to ask the question.  Finally, we have done gene expression analysis (RNAseq) on siblings of the families whose growth rate we quantified in the lab.  We found no individual genes that significantly predict growth, but the power of such tests is low.  We are now attempting to determine if any gene expression networks (correlated expression patterns among many genes) show any obvious trends, and if those networks mirror what is observed in comparisons between offspring of HxH versus WxW parents.  

REFERENCES CITED
Araki, H. and M.S. Blouin. 2005. Unbiased estimation of relative reproductive success of different groups: evaluation and correction of bias caused by parentage assignment errors. Molecular Ecology, 13:4907-4110.

Araki, H., W.R. Ardren, E. Olsen, B. Cooper and M.S. Blouin. 2007a. Reproductive success of captive-bred steelhead trout in the wild: evaluation of three hatchery programs in the Hood River. Conservation Biology 21:181-190.

Araki, H., R.S. Waples, W.R. Ardren, B. Cooper and M.S. Blouin. 2007b. Effective population size of steelhead trout: influence of variance in reproductive success, hatchery programs, and genetic compensation between life-history forms. Molecular Ecology 16:953-966

Araki, H., R.S. Waples and M.S. Blouin. 2007c. A potential bias in the temporal method for estimating Ne in admixed populations under natural selection. Molecular Ecology 16: 2261–2271

Araki, H., B. Cooper and M.S. Blouin. 2007d. Genetic effects of captive breeding cause a rapid, cumulative fitness decline in the wild. Science 318: 100-103.

Araki, H., B. Berejikian, M. Ford, and M.S. Blouin. 2008 Fitness of hatchery-reared salmonids in the wild. Evolutionary Applications 1:342-355.

Araki, H., B. Cooper and M.S. Blouin. 2009. Carry-over effect of captive breeding reduces reproductive fitness of wild-born descendents n the wild. Biology Letters doi: 10.1098/rsbl.2009.0315

Berejikian, B. A., and M. J. Ford. 2004. Review of the Relative Fitness of Hatchery and Natural Salmon. U.S. Dept. Commer., NOAA Tech. Memo. NMFS-NWFSC-61. 28 p. Northwest Fisheries Science Center, Seattle, WA.

Berntson, E. A., R.W. Carmichael, M. W. Flesher, E. J. Ward, and P. Moran. 2011. Diminished reproductive success of steelhead from a hatchery supplementation program (Little Sheep Creek, Imnaha Basin, Oregon). Transactions of the American Fisheries Society 140: 685–698.

Blouin, M.S. V. Thuillier, B. Cooper, V. Amarasinghe, L. Cluzel, H. Araki and C. Grunau. 2010. No evidence for large differences in genomic methylation between wild and hatchery steelhead trout (Oncorhynchus mykiss). Canadian Journal of Fisheries and Aquatic Sciences. 67: 217-224.

Christie, M., M. Ford and M.S. Blouin. 2014.  On the reproductive success of early-generation hatchery fish in the wild.  Evolutionary Applications, 7:883-896.

Christie, M. R., M. L. Marine, R. A. French, and M. S. Blouin. 2012a. Genetic adaptation to captivity can occur in a single generation. Proc Natl Acad Sci U S A 109:238-242.

Christie MR, RA French, ML Marine and MS. Blouin. 2012b Effective size of a wild salmonid population is greatly reduced by hatchery supplementation.  Heredity, 109, 254–260

Christie MR, RA French, ML Marine and MS. Blouin. 2012c Effective size of a wild salmonid population is greatly reduced by hatchery supplementation.  Heredity, 109, 254–260

Christie MR, RA French, ML Marine and MS. Blouin. 2013a. Does inbreeding cause the reduced fitness of captive-born individuals in the wild? J. Heredity, doi: 10.1093/jhered/est076

Christie MR, Tennessen JA, Blouin MS 2013b. Bayesian parentage analysis with systematic accountability of genotyping error, missing data, and false matching. Bioinformatics 10.1093/bioinformatics/btt039

Christie, M.R., M.L. Marine and M.S. Blouin. 2011. Who are the missing parents? Grandparentage analysis identifies multiple sources of gene flow into a wild population. Molecular Ecology, 20, 1263–1276

Christie, MR, ML Marine, SE Fox, RA French and MS Blouin. 2015. A single generation of domestication heritably alters expression at hundreds of genes.  Nature Communications doi:10.1038/ncomms10676

Christie MR, McNickle GG, French RA, and Blouin MS. 2018. Life history variation is maintained by fitness trade-offs and negative frequency-dependent selection. Proceedings of the National Academy of Sciences.  https://doi.org/10.1073/pnas.1801779115

Ford,  M., A. Murdoch, and S. Howard. 2012. Early male maturity explains a negative correlation in reproductive success between hatchery spawned
salmon and their naturally spawning progeny. Conservation Letters. DOI: 10.1111/j.1755-263X.2012.00261.x

Ford MJ, Murdoch AR, Hughes MS, Seamons TR, and LaHood ES. 2016. Broodstock History Strongly Influences Natural Spawning Success in Hatchery Steelhead (Oncorhynchus mykiss). PLoS ONE 11(10).

Miller MR, Brunelli JP, Wheeler PA, Liu S, Rexroad CE, Palti Y, Doe CQ, and Thorgaard GH. 2012. A conserved haplotype controls parallel adaptation in geographically distant salmonid populations. Molecular Ecology 21(2):237-249.

Pearse DE, Miller MR, Abadía-Cardoso A, and Garza JC. 2014. Rapid parallel evolution of standing variation in a single, complex, genomic region is associated with life history in steelhead/rainbow trout. Proceedings of the Royal Society B: Biological Sciences 281(1783).

Thompson, NF and MS Blouin 2015. The effects of high rearing density on the potential for domestication selection in hatchery culture of steelhead (Oncorhynchus mykiss).  Canadian Journal of Fisheries and Aquatic Sciences.  72:1-6.

Thompson NF, Blouin MS. 2016. Family dominance level measured during the fry stage weakly influences family length at smolting in hatchery reared steelhead (Oncorhynchus mykiss). Transactions of the American Fisheries Society 145: 1282-1289.

Thompson, NF, M Christie, M. Marine, L. Curtis and M.S. Blouin.  2016 Spawn date explains variation in growth rate among families of hatchery reared Hood River steelhead (Oncorhynchus mykiss). Environmental Biology of fishes 99:581-591.  

Thompson NF, Clemens BJ, Ketchum LL, Simpson PC, Reagan RE, and Blouin MS. 2018. Family influence on length at release and size-biased survival post release in hatchery-reared steelhead: A mechanism to explain how genetic adaptation to captivity occurs. Aquaculture 491:135-146.


Account Type(s):
Expense
Contract Start Date:
11/01/2018
Contract End Date:
10/31/2019
Current Contract Value:
$301,526
Expenditures:
$301,526

* Expenditures data includes accruals and are based on data through 31-Mar-2024.

BPA CO:
BPA COR:
Env. Compliance Lead:
Contract Contractor:
Work Order Task(s):
Contract Type:
Release
Pricing Method:
Cost Reimbursement (CNF)
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Full Name Organization Write Permission Contact Role Email Work Phone
Michael Blouin Oregon State University Yes Contract Manager blouinm@science.oregonstate.edu (541) 737-2362
Elisabeth Bowers Bonneville Power Administration No Env. Compliance Lead ekbowers@bpa.gov (503) 230-5184
Sandy Cobb Oregon State University No Administrative Contact sandy.cobb@oregonstate.edu (541) 737-9585
Lisa Dexter Bonneville Power Administration Yes Contracting Officer lldexter@bpa.gov (503) 230-3893
Desmond Gelman Bonneville Power Administration No CO Assistant dxgelman@bpa.gov (503) 230-4960
Maureen Kavanagh Bonneville Power Administration Yes COR makavanagh@bpa.gov (503) 230-4272
Peter Lofy Bonneville Power Administration Yes F&W Approver ptlofy@bpa.gov (503) 230-4193
Virginia Weis Oregon State University No Supervisor weisv@science.oregonstate.edu (541) 737-3705


Viewing of Work Statement Elements

Deliverable Title WSE Sort Letter, Number, Title Start End Complete
Complies with NEPA B: 165. Categorical Exclusion 10/31/2019 12/31/2018
All administrative tasks shall be fulfilled on time and with quality products. C: 119. Project/Contract Administration 10/31/2019 10/31/2019
microsatellite genotyping D: 157. Genetics lab work - prep for microsatellite genotyping of steelhead 10/31/2019 10/31/2019
sort growth rate fish into families E: 162. Microsatellite genotyping of steelhead 10/31/2019 08/31/2019
Quantify behavior of each family F: 157. Behavior assays 10/31/2019 10/31/2019
Quantify behavior of each family G: 162. Behavior assays analysis 10/31/2019 10/31/2019
set up growth rate tanks H: 157. Set up growth rate experiment 10/31/2019 10/31/2019
Successfully set up growth rate experiments I: 162. Analysis of growth rate data 10/31/2019 10/31/2019
Completed Annual Report J: 132. Submit Progress Report for the period January 1, 2018 to December 31, 2018 04/01/2019 03/11/2019

Viewing of Implementation Metrics
Viewing of Environmental Metrics Customize

Primary Focal Species Work Statement Elements
Steelhead (Oncorhynchus mykiss) - All Populations
  • 3 instances of WE 157 Collect/Generate/Validate Field and Lab Data
  • 2 instances of WE 162 Analyze/Interpret Data
Steelhead (O. mykiss) - Lower Columbia River DPS (Threatened)
  • 1 instance of WE 162 Analyze/Interpret Data

Sort WE ID WE Title NEPA NOAA USFWS NHPA Has Provisions Inadvertent Discovery Completed
A 185 Periodic Status Reports for BPA 11/01/2018
B 165 Categorical Exclusion 11/01/2018
C 119 Project/Contract Administration 11/01/2018
D 157 Genetics lab work - prep for microsatellite genotyping of steelhead
E 162 Microsatellite genotyping of steelhead 11/01/2018
F 157 Behavior assays
G 162 Behavior assays analysis 11/01/2018
H 157 Set up growth rate experiment
I 162 Analysis of growth rate data 11/01/2018
J 132 Submit Progress Report for the period January 1, 2018 to December 31, 2018 11/01/2018