Post on 31-Dec-2015
transcript
Managed Breeding for Conservation:Sustainability of Ex Situ Populations
Kevin Zippel - CBSG/WAZA
Amphibian Program Officer
Materials produced by:
R. Andrew Odum, CuratorDepartment of HerpetologyToledo Zoological Society
Why do we maintain records?
Records are kept…
• To manage a collection• To manage multiple collections in
coordination (population management)
• To learn about the animals in our charges (Do Science)
Records are kept…
To communicate
Records are kept as part of our responsibilities
for the animals in our charges
Data for Collection Management
• Identifiers• Sex• Parentage • Where are they• Who are they with• What they did while they were here• Husbandry• Medical
Data for population management
• Genetic – parentage
• Demographic – Sex
– Location
– Immigration
– Emigration
– Births
– Deaths
• Genetic Data
• Demographic Data
Records for Population Management
Genetic data is most
important!No!
Demographic data is most important!
You guys sound like a bunch of
treefrogs! They are both
important!
Minimal Data Set
• How Obtained (demographic)
• Arrival Data (demographic)
• Sex (demographic)
• Birth Date (demographic)
• Parents (genetic)
Minimal Data Set
• Death date (demographic)
• Departure data (demographic)
• Specimen Identification (acc. #, pit tag, photograph, etc.)
Why do we cooperatively manage populations?
• For preservation of genetic diversity (GD) for the future (The Ark)
• For future reintroduction
• To efficiently utilize captive resources
Preserve Gene Diversity
Maintain a specific amount of Gene Diversity (GD) for a specific amount of
time
e.g. 90% for 100 years
THE ARK
SPARKS
PM-2000
Managed vs. Unmanaged
Arabian oryx• N = 13 in 1965• 10 founders • N = 416 in 1995• Stable• 92% gene diversity• Ne/N = 0.30• Mean Inbreeding=0.07
Markhor• N = 35 in 1965• 11 founders• N = 81 in 1995• Unstable• 86% gene diversity• Ne/N = 0.07• Mean Inbreeding=0.19
All populations fluctuate:stable populations fluctuate little.
100 @ 10% 100 @ 50%x 0.90 = 90 x 0.50 = 50
x 1.10 = 99 x 1.50 = 75
x 0.90 = 89 x 0.50 = 38
x 1.10 = 98 x 1.50 = 56
x 0.90 = 88 x 0.50 = 28
x 1.10 = 97 x 1.50 = 42
Good years don’t cancel bad years
0 2 4 6 8 10 12 14 16 18 20
Year
0
10
20
30
40
50
60
70
80
90
100
Po
pu
lati
on
Siz
e10% Annual Fluctuation
0
10
20
30
40
50
60
70
80
90
100
Projection of dolphin population: Initial N = 100; K = 200
Projection of dolphin population: Initial N = 10; K = 20
Carrying Capacity (N)Founders
Expansion Phase
Maintenance Phase
N
Tim
e
• Nt = Nt‑1 + (B – D) + (I – E)
Factors that effect N from one census to the next
Tomorrow Today
Loss of Gene Diversity by Drift
The problem with small populations
AB CD
AD BD
AD
DB
Unrelated Animals
Allele C is lost
Loss of gene diversity due to drift
1000500
250
100
5010
Generation
% G
ene
Div
ersi
ty
N0
20
40
60
80
100
0 20 40 60 80 100
Inbreeding
• Mating between relatives
• Reduces gene diversity (GD)
• Greatly increases probability of expressing deleterious alleles
• Reversible
I love my cousin
Inbreeding
1 2
3 4
5 6
Unrelated Animals
Non-inbred offspring
Inbred offspring
Inbreeding Depression
Inbreeding Depression Expressed by XX
Following deleterious allele X through a pedigree
AB CX
AX BX
XB XX
A
B
XX
XXX
B
Unrelated Animals
Non-inbred offspring
Inbred offspring
X is a rare deleterious allele
Inbreeding reduces fitnessLook What I Made Now!
Inbred vs. Non-Inbred Crested Wood Partridges at MN Zoo
• 8% reduction in egg volume
• 10% reduction in egg weight
• 20% reduction in hatch rate
• 51% reduction in 30 day survival
• Inbred birds have 41% more medical notes than do their non-inbred counterparts!
Inbreeding is Reversible
If an inbred animal is bred with an unrelated animal, the resulting
offspring are not inbred
Outbreeding
OutbreedingUnrelated Animals
Non-inbred offspring
Inbred #5 & #6
Unrelated Female
Non-Inbred Offspring
1 2
3 4
5 6 7
8
8 is not inbred, but GD is lost
The Bad vs. The Good
• Small populations• Few breeders• Isolationist, possessive
management• Little or no genetic
management• Poor records
• Larger populations• More breeders• Cooperative
management• Careful genetic
management• Good records
Population Management Goals
• Maintain 90% gene diversity for 100 years
• Defined target population size– Founders vs. offspring
• Stable numbers– Stable age distribution
• Avoid inbreeding, drift
• Maximize Ne/N
How is managed breeding achieved?
• data collected
• compiled at institution - ARKS IV
• compiled internationally - ISIS (future = ZIMS)
• polished by studbook keeper - SPARKS
• management recommendations - PM2000
• population modeling - VORTEX
Data to collect
• Provenance
• Genetic – Parentage
• Demographic – Gender– Birth/capture date– Immigration– Emigration– Births/Breeding behavior/Development– Deaths
Studbooks
• 300 Population Management Plans (PMPs)– Designated Population Manager keeps studbook
and makes management recommendations
• 90 Species Survival Plans (SSPs)– Species Coordinator & Management Group
• elected committee, outside advisors
– Established genetic goals for 50-100 years– Participation required of AZA member zoos– Field Conservation integral to program
1. Quantify InbreedingThe Inbreeding Coefficient (F)
F = probability that homologous alleles at a random locus are
“identical by descent”
How to Make Breeding Recommendations?
Inbreeding CoefficientF=0
F= 0
F = 0.25
AB CX
AX BX
XB XX
Inbreeding Coefficients of a Simple Pedigree
2. Select breeding pairs using the principle of inbreeding coefficient to
determine relatedness
Kinship
How to Make Breeding Recommendations?
How related are we?Kinship
Kinship Coefficients of a Simple Pedigree
1 2
3 4
5 6
H H
F=0
F= 0
F = 0.25
F = 0.375
k= 0 between #1 and #2
k= 0.25 between #3 and #4
k= 0.375 between #5 and #6
Hypothetical cross of #5 & #6
3. Calculate Mean Kinship:
the average of all the kinships of an animal to the rest of the population
How to Make Breeding Recommendations?
MK of PedigreeALL ANIMALS LIVING
MK=0.225
MK=0.3375
MK=0.3875
1 2
3 4
5 6 7
8
#7 is the most important animal
MK=0.4125
MK=0.05
MK=0.2275
Mean Kinship
• Determines Best Pairings
• Determines Animals to Surplus
Incomplete data
• May remove animals from analysis process
• May create errors in analysis
• May prevent analysis
Incorrect data
• May create significant errors in analysis
• Usually hurts captive population
The Future: Applying Our Knowledge
• Cooperation among institutions• Larger populations, backup• More breeders• Careful genetic management• Population planning• Group management• Good records
Population Management is Balanced on Good Records
Husbandry
Demography Genetics
GOOD RECORDS