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Applications of Genetics to Conservation Biology

Applications of Genetics to Conservation Biology. -Molecular Taxonomy -Population Genetics and Gene Flow -Relatedness (Kinship, Paternity, Individual ID). How can genetics minimize extinction?. Understanding species biology Relatedness (kinship, paternity, individual ID)

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Applications of Genetics to Conservation Biology

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  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 Taxonomy:Molecules versus Morphology • Cryptic species (sibling species) • Morphological variation without genetic variation

  6. Molecular Taxonomy:Conservation 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 Flow:Conservation 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 ID:Conservation 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 Flow:Puma (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 Application:Madagascar 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 (n=3), 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

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