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Developing Microsatellite Loci for Alligator Gar and Their Usefulness in Other Gar Species. Greg Moyer U.S. Fish and Wildlife Service - Warm Springs, GA Brian Kreiser University of Southern Mississippi OR Where Are You From ? & Who’s Your Daddy A Brief Introduction Moyer & Colleagues Kreiser & Colleagues Brian Sloss – USGS Kevin Feldheim - The Field Museum Josh Rousey – Valdosta State Wilfredo Matamoros - USM Justin Sipiorski - SIU Jake Schaefer - USM Samples in Hand MS Gulf Coast Fishing Rodeo (2002+) - Dennis Riecke (MDWFP) St. Catherine Creek NWR - Ricky Campbell (UWFWS) Vicksburg - Jan Hoover (Army Corp) Oklahoma - Kerry Graves (USFWS) Louisiana - Allyse Ferrara (Nichols State U.) Texas - Mark Malfa (bowfishing guide) Choctawhatchee - Frank Parauka (USFWS) Other gar species (spotted, longnose, shortnose, Florida) Overview 1. Background on conservation genetics, molecular tools and microsatellites 2. Summary of work to date 3. Future directions - your input Conservation Genetics Fields of - Ecology, Population Genetics & Systematics Tools of - Molecular Biology & Mathematical Modeling Overlapping Questions What is genetic variation and why is it important? • All the variation due to differences in alleles and genes in an individual, population, or species • Raw material for adaptive evolutionary change – Genetic diversity is required for populations to evolve in response to environmental changes1 – Heterozygosity levels are linked directly to reduced population fitness via inbreeding depression2 1McNeely et al. 1990; 2Reed and Frankam 2003 What is genetic variation and why is it important? • Conservation plans – maintain self sustaining populations – . . . long-term viable populations • What does viability and self-sustaining actually mean? • A viable population must be large enough to maintain sufficient genetic variation for adaptation to environmental changes The Molecular Markers Species Boundaries Mitochondrial DNA Population Structure Microsatellites Within Populations Screening for Genetic Variation Microsatellite gel run Not Really That Complicated Kreiser Lab Not the Kreiser Lab Why Mitochondria? “Powerhouse of the cell”; with its own genome Small, circular genome High mutation rate Variation for population studies Clonal Maternal inheritance Microsatellites - DNA Fingerprinting Many loci in genome Highly polymorphic Microsatellites - DNA Fingerprinting Example: - (CA) repeat - 6 alleles #8 Genotype = 144 bp / 156 bp - six repeat units difference #2 Genotype = 148 bp / 146 bp - one repeat unit difference #5 Genotype = same Microsatellites - DNA Fingerprinting Multilocus genotype = the DNA fingerprint Individual #2 #5 #8 Locus 1 148/146 148/146 144/156 Locus 2 160/156 158/156 160/158 Locus 3 220/212 218/210 224/220 Locus 4 138/130 140/136 142/132 Microsatellite Marker Development • Collaborative effort among agencies, universities and laboratories • Goal – Develop a suite of 12-16 markers for estimating population genetic parameters Microsatellites - Isolating Loci DNA Extraction Sequence Clones Enrichment (GCC) (AT) (GATA) Clone Select Loci Bearing Clones Microsatellites - Isolating Loci Atsp 84 - primer design TATTCCAAGGTGCAGCTGTAAGAATGCCATACAAACAAACAAACAAACAAACAAAC AAACAAACAAACAAACAAACAACTCACTCTTCTGAGCTAAAATTCTGTGCTGTCTGTT TTGGGTGAAAACTAGGGAGTTTGCAGAACTCTTTGAGAGTTTTTTTAAGGTGCACATAA AAACTTCATCAGGATCTGAAACACCGTCACTGTGCTGGCTTCCCATTAACCAATATCTG TTTCCTC Atsp 159 4 alleles 16 alleles Atsp 12 1 allele Results • Moyer lab (lots of work and nothing to show for it!) – Two libraries constructed (enriched for di and tri repeats) – 24 primers sets developed and optimized – 14 of 24 loci -- successful and consistent amplification of alligator gar DNA – Limited variation • 5 loci limited to 1 allele • 7 loci had 2 alleles • 2 loci had 3 alleles – Cross species amplification with L. osseus, oculatus, platostomus, tropicus, and platyrhincus • Similar results Results Kreiser lab - Alligator gar 19 individuals - MS Gulf Coast fishing rodeo 30 loci tested 14 - not resolved 16 - amplified 5 - monomorphic (one allele) 11 - polymorphic (no deviation from HWE or LD) Loci Testing Locus # Alleles Ho He Atsp 7 4 0.263 0.238 Atsp 35 3 0.750 0.627 Atsp 40 4 0.684 0.620 Atsp 54 4 0.316 0.614 Atsp 57 2 0.053 0.051 Atsp 66 4 0.842 0.658 Atsp 84 16 0.947 0.898 Atsp 95 3 0.444 0.545 Atsp 122 3 0.389 0.329 Atsp 159 4 0.526 0.597 Atsp 341 3 0.688 0.506 Average 4.5 0.537 0.517 Loci Testing Other gar L. oculatus (n=14) & L. osseus (n=13) - Pascagoula 30 loci tested 12-13 - not resolved 7-8 - amplified 2-4 - monomorphic 4-5 - polymorphic (no deviation from HWE or LD) Loci Testing # Alleles # Alleles L. oculatus L. osseus Atsp 12* 3 2 Atsp 40 1 3 Atsp 54 1 1 Atsp 57 6 7 Atsp 66 13 10 Atsp 95 8 8 Atsp 324* 1 NR Atsp 339* 1 1 Locus Where do we go from here? Restoration Goals • Ecological – Supplement existing populations – Establish new populations – Ecological functions • Genetic – Maintain/restore adaptive diversity and evolutionary processes to promote population persistence. • Adaptive genetic variation within populations • Genetic structure among populations • Historical – Restore the past? – Ensure the future? Strategies for ecological restoration • Wait and see • Restore habitat – Goal is simply to enhance natural recruitment – No intended or unintentional genetic impact • Hatchery-based enhancement – Goal is to increase numbers – No intentional genetic impacts – Unintentional impacts depending on the source of brood stock, how it’s managed, and the natural genetic structure • Genetic Rehabilitation – Goal is to “improve” the genetics of populations • Manipulate gene flow • Selectively bred or genetically engineered brood stock Conservation Genetics & Hatchery Propagation • Best choice is local brood stock • Non local – Risk – outbreeding depression (relative fitness of hybrids and back crosses < natural population) – Does genetic similarity = adaptive similarity? – Can have high gene flow but local adaptation • Recommendation – Avoid non-local brood stock – Test for adaptive vs. neutral genetic variation Conservation Genetics & Hatchery Propagation • Local brood stock – Genetic diversity • Hatchery ≈ natural • Risk: inbreeding depression – Lower relative fitness of hatchery stock • Recommendation – Genetic baseline data – Large number of unrelated founders – number depends on generation time of organism – Spawn unrelated – Avoid spawning brood stock more than once – Use brood held in captivity < 1 generation1 – Equalize parent contributions – Rearing conditions • Hatchery ≈ natural • Risk: artificial selection – Lower relative fitness of hatchery stock • Recommendation – Equalize parent contributions 1Araki et al. 2007 Science Questions/Suggestions?