Applications of Genetics to Conservation Biology - PowerPoint PPT Presentation

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Applications of Genetics to Conservation Biology

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Applications of Genetics to Conservation Biology-Molecular Taxonomy-Population Genetics and Gene Flow-Relatedness (Kinship, Paternity, Individual ID) – PowerPoint PPT presentation

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Title: Applications of Genetics to Conservation Biology


1
Applications of Genetics to Conservation Biology
  • -Molecular Taxonomy
  • -Population Genetics and Gene Flow
  • -Relatedness (Kinship, Paternity, Individual ID)

2
How can genetics minimize extinction?
  • Understanding species biology
  • Relatedness (kinship, paternity, individual ID)
  • Gene flow (migration, dispersal, movement
    patterns)
  • Molecular Systematics
  • Resolve taxonomic uncertainty
  • Resolve population structure
  • Define management units
  • Identify populations of conservation concern

3
How can genetics minimize extinction?(continued)
  • Detect and minimize inbreeding and loss of
    genetic diversity
  • Detect and minimize hybridization
  • Identify best population for reintroduction

4
Molecular Taxonomy
  • -Using molecules
  • (ie. DNA based techniques such as mitochondrial
    DNA or nuclear DNA)
  • to define taxonomic units
  • (species, subspecies, ESUs and MUs)

5
Molecular TaxonomyMolecules versus Morphology
  • Cryptic species (sibling species)
  • Morphological variation without genetic variation

6
Molecular TaxonomyConservation Relevance
  • Unrecognized species may go extinct
  • Incorrect species recognition
  • Non-optimal use of management resources
  • Problems with hybridization
  • Incorrect subspecies or population recognition
  • Non-optimal use of management resources
  • Problems with introgression

7
Population Genetics and Gene Flow
  • -Compare genetic traits among populations
  • -Resolve substructure among populations
  • -Infer movement patterns among individuals
  • -Infer historical events for species

8
Population Genetics and Gene FlowConservation
Relevance
  • Determine units for management
  • Heterozygosity estimates
  • Population bottlenecks
  • Hardy-Weinberg assumptions (mutation, migration,
    selection, drift, inbreeding)
  • PVA (Population Viability Assessment)
  • MVP (Minimum Viable Population Size)
  • Effective population size
  • Number of breeding individuals

9
Relatedness (Kinship, Paternity and Individual ID)
  • -Application of molecular genetic techniques
  • (using hypervariable, repetitive DNA such as DNA
    fingerprinting and microsatellites)
  • to questions of kinship, paternity,
  • or individual ID

10
Kinship, Paternity, Individual ID
  • Infer relatedness among individuals
  • First order (siblings), second order (cousins),
    etc.
  • Infer paternity (maternity)
  • Reproductive success (male, female)
  • Interpret reproductive strategies
  • Monogamy, harem, female choice, etc.
  • Interpret behaviors
  • Dispersal (male, female), care giving, others
  • Individual ID
  • Populations size estimates
  • Forensics

11
Kinship, Paternity, Individual IDConservation
Relevance
  • Knowledge to aid management
  • Family structure
  • Reproductive strategy
  • Behavior
  • Dispersal
  • Inbreeding
  • Forensics/law enforcement

12
Examples
  • Taxonomy, Population Subdivision, Gene Flow
  • Puma (cougar, mountain lion)
  • Kinship and Paternity
  • Madagascar Fish-Eagle

13
Subspecies Taxonomy and Gene FlowPuma (cougar,
mountain lion)
14
32 Puma subspecies, as of the early 1900s
15
Objectives
  • Does current population differentiation reflect
  • Subspecies descriptions?
  • Physical or ecological barriers?
  • Geographic distance?
  • Are current levels of genetic variation the same
    within each population?
  • Does population structure and genetic variation
    reflect
  • Historic migrations, dispersals, and/or
    bottlenecks?

16
Molecular Methods Used
  • Mitochondrial gene sequencing
  • 3 genes
  • Nuclear microsatellite length determination
  • 10 domestic cat microsatellite markers

17
Mitochondrial DNA Haplotypes(in a geographical
cline)
18
Microsatellite Alleles at FCA008
19
-Geographic clustering of individuals Six
groups identified 2 distance methods agree
20
Major restrictions to gene flow -Amazon
River -Rio Parana -Rio Negro -Andes?
21
Fossil Record versus Molecular Divergence
Estimates
  • Oldest fossils in North and South America are
    250,000 years old
  • From mtDNA markers, puma are 390,000 years old
  • From microsatellite markers, pumas are 230,000
    years old

22
Historical Inferences
  • Extant pumas originated in Brazillian Highlands
    (ancestral haplotypes)
  • Dispersal to NA soon after the common origin in
    Brazil
  • 2 historical radiation (movement) events

23
-Ancestor to puma crosses land-bridge 2-3
Mya -Puma origin in Brazillian Highlands
300,000 ya
24
2 Major historical radiations -One locally
distributed -One broad ranging
25
Puma Bottlenecks
  • Subspecies-level
  • North America low overall genetic variation
  • Population-level
  • Florida has no variation at 8/10 microsatellites
  • Olympic Peninsula and Vancouver Island, no
    variation at 5/10 microsatellites

26
Conclusions
  • Possible extirpation and recolonization in North
    America (Pleistocene age?)
  • Molecular data does not support 32 subdivisions,
    instead 6 groups
  • Pumas are fairly panmictic within 6 groups

27
Conservation Implications
  • Maintain habitat connectivity within 6 large
    groups
  • Management should consider effects of
    bottlenecked populations
  • Endangered populations (Eastern cougar, Florida
    panther and Yuma puma) should be managed using
    revised subspecies

28
Paternity ApplicationMadagascar Fish-Eagle
Ruth Tingay, PhD candidate U of Nottingham,
29
Antsalova wetland region of western Madagascar
30
Background and Methods
  • Endangered eagle in Madagascar
  • 2-3 males, and one female, attend each nest
    (cooperative breeding)
  • Dominance hierarchy among males at nest
  • Multi-locus DNA fingerprinting used to infer
    potential fathers, and estimate adult relatedness
    among and between nests

31
DNA Fingerprinting Alleles at 4 nests (6
representative bands out of 34)
32
Conclusions
  • At all nests with young (n3), subordinate males
    fathered all offspring
  • Dominant males have higher energy investment
  • Dominant male may be first-order relative to
    adult female
  • One dominant male may have full-sib within nest

33
Conservation Implications
  • Preliminary results, more samples needed
  • Advantageous to raise young of full-sib
  • Conservation management may consider
  • Adult relatedness in area
  • Number of males that successfully breed

34
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