Applications of Genetics to Conservation Biology

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Applications of Genetics to Conservation Biology Molecular Taxonomy Populations, Gene Flow, Phylogeography Relatedness - Kinship, Paternity, Individual ID

Conservation Biology Population biology Physiology Island biogeography Hazard evaluation Veterinary medicine Environmental monitoring Social science Natural Resources Policy Management Genetics Conservation Genetics Evolution (M,M,S,D) Systematics (Taxonomy) Small populations Population structure Inbreeding/Outbreeding Hybridization Genetic diversity Genetic management Reintroduction Species biology Forensics

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 (phylogeography) Define management units Identify populations of concern

How can genetics minimize extinction? (continued) Detect and minimize inbreeding and loss of genetic diversity Detect and minimize hybridization Non-intrusive (non-invasive) sampling Identify best population for reintroduction Forensics

Molecular Taxonomy Using molecules (ie. DNA based techniques) for systematic study or to define taxonomic units (species, subspecies, ESUs and MUs)

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

Molecular Taxonomy: Conservation Relevance Unrecognized species may go extinct Incorrect species recognition Non-optimal partition of management resources Problems with hybridization Incorrect subspecies or population recognition Not optimal partition of management resources Problems with introgression

Populations, Gene Flow, Phylogeography -Compare genetic traits among populations -Resolve substructure among populations -Infer movement patterns among individuals -Infer historical events for species

Population, Gene Flow, Phylogeography: 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

Relatedness (Kinship, Paternity and Individual ID) Application of molecular genetic techniques, using hypervariable, repetitive DNA (ie. microsatellites, minisatellites) to questions of kinship, paternity or individual ID

Kinship, Paternity, Individual ID: Infer relatedness among individuals First order, second order, 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

Kinship, Paternity, Individual ID: Conservation Relevance Knowledge to aid management Family structure Reproductive strategy Behavior Dispersal Inbreeding Forensics/law enforcement

Important Techniques: Phylogenetic Analysis Resolve evolutionary relationships (species, subspecies, populations, individuals) Tool used to determine Evolutionarily Significant Units (ESUs) Also resolves Management Units (MUs)

Phylogenetic tree with ESUs and MUs MU ESU - 1 ESU - 2

Phylogenetic Analysis: Phylogeography Combines phylogeny with geographical locations of populations Three likely outcomes for geographical populations Equally different branches of tree Shallow structure Monophyletic group

Phylogenetic Analysis: Phylogeography Equally Divergent Shallow and Monophyletic

Important Techniques: Non-Invasive Sampling Samples are collected without disturbing the individual (includes scat, hair, feather etc.)

Non-Invasive Sampling Allows sampling without disturbance to individual Rare or hard to capture species Examples (hair, scat, feathers, saliva/cheek swab, regurgitated pellets, dried blood, biopsy dart, museum tissues

Non-Invasive Sampling: Applications Species ID Individual ID Sex Determination (Sex Ratio) Gene Flow Previously described applications for genetics in conservation biology

Non-Invasive Sampling: Pros and Cons Allow studies that are not possible by other methods Error/failure rates associated with having very minimal amount of DNA Use fresh tissues when possible to avoid potential errors

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

Subspecies Taxonomy, Phylogeography, Gene Flow: Puma (cougar, mountain lion)

32 Puma subspecies, as of the early 1900s

Objectives Does current population differentiation reflect Trinomial descriptions? Physical or ecological barriers? Isolation by distance? Are current levels of genetic variation the same within each population? Does population structure and genetic variation reflect Historic migrations? Historic dispersals? Historic bottlenecks?

Modern and museum puma samples collected, total of 315

Molecular Methods Used Mitochondrial gene sequencing 16SrRNA NADH-5 ATPase8 Nuclear microsatellite length determination 10 domestic cat microsatellite loci

Mitochondrial DNA Haplotypes (in a geographical cline)

-Ancestral haplotypes -2 historical radiations -NA is most recently founded population

Microsatellite Alleles at FCA008

-Geographic clustering of individuals ~Six groups identified 2 distance methods agree

-Subspecies associate into same 6 groups -Statistical support from bootstrap values -2 distance methods agree

-6 groups identified using microsatellites -mtdna haplotypes overlayed onto map, supports 6 groups -Location of 2 ancestral haplotypes

Wright s Fst Estimates and Slatkin s Migration Estimates

Major restrictions to gene flow: -Amazon River -Rio Parana -Rio Negro -Andes?

Fossil Record versus Molecular Divergence Estimates Oldest fossils in North and South America date to 0.2-0.3 Mya From mtdna mutation rate of 1.15%/My, divergence for extant puma lineages is 390,000 years ago From mutation rate of 5 x 10-9 /yr for microsatellite flanking regions, pumas are less than 230,000 years old

Historical Inferences Extant pumas originated in Brazillian Highlands (ancestral haplotypes) Fossil record suggests dispersal to NA soon after the common origin in Brazil 2 historical radiation events occurred

-Ancestor to puma crosses land-bridge ~2-3 Mya -Puma origin in Brazillian Highlands ~300,000 ya

2 Major historical radiations -One locally distributed -One broad ranging

Puma Bottlenecks Subspecies-level North America low overall genetic variation Population-level Florida monomorphic at 8/10 microsatellite loci Olympic Peninsula and Vancouver Island, monomorphic at 5/10 microsatellite loci

Puma Conclusions Pumas originated in Brazil approximately 300,000 years ago 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

Conservation Implications -Maintain habitat connectivity within 6 large groups -Management should consider effects of bottlenecked populations -Eastern cougar, Florida panther and Yuma puma management take into account revised subspecies

Paternity Application: Madagascar Fish-Eagle Ruth Tingay, PhD candidate U of Nottingham,

Antsalova wetland region of western Madagascar

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

DNA Fingerprinting Alleles at 4 nests (6 representative bands out of 34)

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

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