1 / 41

Gene Flow between Hatchery and Wild Fish

Explore fitness effects of gene flow between natural spawn and hatchery spawn fish populations. Analyze equilibrium trait values and genetic divergence in hatchery management. Discover optimal fitness in different environments.

marissaj
Download Presentation

Gene Flow between Hatchery and Wild Fish

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Gene Flow between Hatchery and Wild Fish Don Campton U.S. Fish and Wildlife Service Abernathy Fish Technology Center Longview, WA

  2. ? Natural spawn Hatchery spawn ? Problem: Fitness effects of gene flow

  3. Fisheries 30(6): 11-23 (June, 2005)

  4. pNOB 1.0 - pNOB 1.0 - pHOS pHOS Natural spawn Hatchery spawn Gene Flow Proportions pNOB = proportion of hatchery broodstock composed of natural-origin adults pHOS = proportion of naturally-spawning fish composed of hatchery-origin adults

  5. Ford, M. 2002. Cons. Biol. 16:815-825.

  6. Fitness Optima in Two Environments Hatchery Optimum (θH) Natural Optimum (θW) Hatchery environment Natural environment Fitness Trait phenotypic values (e.g., spawn date) 

  7. Fitness Optima in Two Environments Hatchery Optimum (θH) Natural Optimum (θW) Hatchery environment Natural environment Fitness Z (pop. mean)

  8. θH θW Hatchery environment Natural environment Fitness pNOB pHOS Zeq(equil. mean phenotype) Population Mean (Z) in Two Environments

  9. Natural selection vs. phenotype (Ford 2002) θ= optimum phenotype;1/ω = intensity of selection θW – θH = intensity of domestication θH θW Hatchery environment Fitness Natural environment ωH ωW θW – θH -1.0 0.0 Trait phenotypic values (Z)

  10. Equilibrium trait values: Balance between gene flow and natural selection qc = pNOB qw = pHOS After Ford (2002)

  11. Natural Hatchery Hatchery Natural Broodstock Management:Genetic Integration vs. Segregation Integrated Segregated Goal: One population, Minimize genetic divergence Goal: Two populations, Allow genetic divergence Natural-origin fish in broodstock Hatchery fish only in broodstock One gene pool Two gene pools

  12. Hatchery Natural Problem: Hatchery-to-wild gene flow Hatchery Natural Natural Spawning Segregated Genetic Risk Demographic Benefit? Integrated

  13. Figure 1. Equilbrium mean values of a hypothetical trait among hatchery-origin fish ( zh(eq) ) as a function of the proportion of the broodstock (adult spawners) derived each year from natural-origin fish (pNOB): (a) θh= -1.0σ; (b) θh= -3.0σ. In these examples, no hatchery fish spawn naturally (pHOS = 0) and gene flow is strictly one-way from the natural environment to the hatchery environment. Three intensities of selection: strong selection (ωw = ωh = 2.0σ), moderate selection (ωw = ωh = 6.0σ), and weak selection (ωw = ωh = 10.0σ). When hatchery-origin fish are prevented from spawning naturally, only minor to moderate levels of one-way gene flow are necessary to prevent genetic divergence of a hatchery population due to domestication selection in the hatchery environment. Figure 2. Equilbrium mean values of a hypothetical trait ( z(eq) ) among hatchery and natural-origin fish as a function of the proportion of a hatchery broodstock (adult spawners) derived each year from natural-origin fish (pNOB): (a) θh= -1.0σ; (b) θh= -3.0σ. If pHOS = 0, then zw(eq) for natural-origin fish = θw = 0.0, and the equilibrium trait values (zh) are shown for hatchery-origin fish only. When hatchery-origin fish spawn naturally (pHOS > 0), substantially greater levels of gene flow from the natural environment to the hatchery environment are needed to reduce the genetic effects of domestication selection in the hatchery environment. The mean equilibrium trait values for hatchery and natural-origin fish are virtually identical in an integrated population with two-way gene flow. The mean trait value for the integrated population as a whole will be exactly halfway between the optimum values in the two environments (z(eq) = (θw + θc)/2 ) when pNOB = pHOS and the genetic effective number of breeders in the two environments are equal. When pNOB > pHOS, then the mean value of the population will be closer to the optimum value in the natural environment than the optimum in the hatchery environment. These examples assume moderate selection intensity (ωw = ωc = 6.0σ). pHOS = 0.0 pHOS = 0.0 Figure 1. Equilibrium trait value (Wild)Wild optimum (θW) = 0.0 Hatchery optimum (θH) = -1.0 Segregated hatchery: 1-way gene flow hatcherywild pNOB = 0.0 (no wild fish in broodstock) 5% (prop.hatchery fish in wild) Figure 2. pHOS = 0.1 ω = 6.0 (mod. sel.) Figure 4.

  14. Equilibrium trait value (Hatchery)Wild optimum (θW) = 0.0 Hatchery optimum (θH) = -1.0 Integrated:1-way gene flow wild  hatchery pHOS = 0 (hatchery fish do not spawn in wild) 10% (prop.wild fish in broodstock)

  15. Equilibrium trait value (wild and hatchery)Wild optimum (θW) = 0.0 Hatchery optimum (θH) = -1.0 Integrated:2-way gene flow: wild  hatchery pHOS=0.1 pHOS=0.3 (wild fish in broodstock)

  16. Equilibrium trait value (wild and hatchery)Wild optimum (θW) = 0.0 Hatchery optimum (θH) = -1.0 Integrated:2-way gene flow: wild  hatchery pHOS=0.1 pHOS=0.3 pNOB = pHOS (wild fish in broodstock)

  17. Proportional Natural Influence (PNI)* (0 <PNI< 1.0) PNI = 1  ZW= wild optimum (goal) PNI = 0  ZW= hatchery optimum (high genetic risk) *from Craig Busack, Wash. Dept. Fish & Wildlife

  18. Controlling gene flow to achieve goals PNI = pNOB / (pNOB + pHOS) = proportional natural influence = mean fitness of integrated population relative to natural population. = % time genes spend in natural environment.

  19. HSRG guidelines for hatchery programs • Integrated broodstocks (pNOB > 0): • pNOB > 0.1 (at a minimum) • pNOB > pHOS (PNI > 0.5) • For biologically significant populations: • pNOB > 2 • pHOS (PNI > 0.67) • Segregated broodstocks (pNOB = 0): • pHOS < 0.05

  20. All-H Analyzer (AHA) Spreadsheet Too • Ford’s (2002) Genetic fitness model • Beverton-Holt spawner-recruitment functions • Population dynamic effects of hatchery, harvest, hydropower, and habitat. Fitness Phenotypic value

  21. All-H Analyzer (AHA) Spreadsheet Model (Habitat, Hydropower, Harvest, Hatchery) Combines Ford (2002) fitness model with Beverton-Holt spawner-recruit (R/S) model

  22. AHA output: Predicted return of adult recruits Pink= Hatchery-origin adult recruits Green= Natural-origin adult recruits

  23. AHA Model Example: Eagle Creek NFH coho salmon (Clackamas River, OR)

  24. AHA Model Example: Eagle Creek NFH coho salmon Clackamas River, Oregon Option 4 Option 3 25% Habitat Increase Integrated Hatchery 200K smolts pNOB=30% pHOS=16% PNI=0.65 25% Habitat Increase Segregated. Hatchery 200K smolts pNOB=0 pHOS=33% Option 2 25% Habitat Increase No Hatchery Current Option 1 pNOB=0 pHOS=81% No Hatchery

  25. “Supplementation”Desired Natural Spawning by Hatchery-Origin Fish(Two situations where pHOS > pNOB may be desired) • Basic question: Can the natural population sustain itself under current conditions? • YES, but abundance is substantially below desire levels. • Use supplementation temporarily (3 generations?) to increase natural population size (“jump-start”). • Assumes causes of decline have been rectified. • NO. Population is on an extinction trajectory. • Use hatchery as a “life support” system. • pHOS >> 0 provides a natural-spawning component of a hatchery-maintained population (pNOB > 0 in long-run).

  26. Conclusion: Hatchery Management “We’ve come a long way, baby!”

  27. Acknowledgements Hatchery Scientific Review Group (HSRG) U.S. Fish and Wildlife Service Hatchery Review Team • Lars Mobrand, Chair, HSRG (Developer of AHA) • Mike Ford, National Marine Fisheries Service (Fitness model) • Craig Busack, Washington Dept. of Fish and Wildlife (Sensitivity testing of model) USFWS Hatchery Review:www.fws.gov/Pacific/fisheries/hatcheryreview HSRG Hatchery Reform:www.hatcheryreform.us

  28. Capacity = asymotote Productivity = slope at origin Beverton-Holt R/S curve

  29. What is “Hatchery Reform”? Hatchery Reform is applying the same scientific principles to managing hatchery fish that we use for managing wild fish. • Maximize stock viabilities in the environments on which fish depend. • Conserve indigenous gene pools and support sustainable fisheries. • Predict and understand the biological consequences of • management decisions.

  30. Beverton-Holt R/S curve Capacity = asymotote

  31. Beverton-Holt R/S curve Productivity = slope at origin

  32. Chronology for Pacific Salmon • 1872: 1st salmon hatchery, • McCloud River, California • 1877: 1st salmon hatchery on Columbia • River; Clackamas River, Oregon • 1900-1975: Development of hatchery • system in Wash., Oregon, Calif. • 1990-1999: ESA listings of Pacific salmon • 2000: Western Washington Hatchery Reform Project (HSRG formed) • 2005: Expansion of hatchery reform • initiative to Columbia River (USFWS)

  33. Northwest Indian Fisheries Commission Western Washington Hatchery Reform Congressional Hatchery Science Advisory Team www.hatcheryreform.org

  34. Hatchery Natural Segregated Hatchery Broodstocks • Creates hatchery-adapted population distinct from natural population. • Hatchery fish may pose genetic and ecological risks to natural populations. • Appropriate where: 1) Low probability of hatchery fish spawning naturally; 2) Spawning habitat no longer exists (e.g., mitigation for a dam); 3) Smolt release/adult recollection facilities are physically separated from natural spawning areas Segregated Two populations

  35. Natural Hatchery • Artificially increases the demographic abundance of a natural population. • Requires a self-sustaining natural population to provide broodstock. • Appropriate for programs with conservation goals and where risks of natural spawning by hatchery fish need to be minimized. • Natural selection in wild drives mean fitness of hatchery origin fish. Integrated Hatchery Broodstocks Integrated One population

  36. Gene flow vs. genetic drift (1-m)2 FST = —————————— 2Ne - (2Ne-1) (1-m)2 0 < FST< 1.0 Ne = effective population size m = migration (gene flow) proportion (Wright 1940)

  37. Natural-origin proportion (M) of broodstock per generation to overcome random genetic drift

  38. No. of natural-origin fish in broodstock per generation to overcome random genetic drift

  39. Original report to Congress THE REFORM OF SALMON AND STEELHEAD HATCHERIES IN PUGET SOUND AND COASTAL WASHINGTON TO RECOVER NATURAL STOCKS WHILE PROVIDING FISHERIES Gorton Science Advisory Team May 7, 1999 GOALS: Goals of hatchery reform are to conserve indigenous genetic resources, assist with the recovery of naturally spawning populations, provide for sustainable fisheries, conduct scientific research, and improve the quality and cost-effectiveness of hatchery programs.

  40. National Fish Hatcheries being reviewed Mid-Columbia Lower Columbia Lower Snake Warm Springs NFH

More Related