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Genome-wide selection
components analysis in a fish
with male pregnancy
Sarah P. Flanagan, PhD
@sarahpf19
Selection requires a genetic basis
Understanding Evolution. 2016. University of California Museum of Paleontology. 22 August 2008 <http://evolution.berkeley.edu/>
Selection leaves a signature on the
genome
Hohenlohe et al. 2010, Int J Plant Sci
Hard
Sweep
Linked to
Sweep
Neutral NeutralBalancing
selection
Soft
Sweep
Genomic signatures of selection
Sexual Selection Viability Selection
What type of selection?
©Michael L. Baird
©Jebulon
©Tim Cronin
©Matt Kieffer
Modified from
Christiansen & Frydenberg 1973, Theor. Pop. Biol.
compare
allele
frequencies
Selection components analysis (SCA)
Two SCA approaches
Pairwise FST comparisons
• Successfully detects strong
selection, even when the
trait has environmental
component
• Sample sizes should be large
(>250 individuals) and many
loci (across multiple
chromosomes) should be
sampled
Maximum likelihoods
• Sequential testing of models
allows model comparisons
• Original approach has been
modified to incorporate
sequencing error
– Identified genome-wide
viability selection in Mimulus
guttatus
Flanagan & Jones 2015, Ecol. Evol.Monnahan et al 2015, Evolution
Christiansen & Frydenberg 1973, Theor. Pop. Biol.
Syngnathus scovelli are ideal for SCA
Dad: CT
Embryo: TT
Mom: T
Photo credits: Sarah Flanagan
Sexual selection favors band area or
band number, primarily during mate
choice
Flanagan et al. 2014, JEB
Poor swimmers, rely on camouflage
Photo credit: Sarah Flanagan
Photo credit: Sarah Flanagan ©Michael L. Baird
Adult
Females
Pregnant
Males
Non-
Pregnant
Males
Adults
Embryos
Viability
Selection
Sexual
Selection
57 159 8
130
225
Selection components analysis in
pipefish
Group 1 Group 2 Type of
selection
Mode of Comparison
Parent-offspring combination
(Inferred pipefish female allele)
Adult females
(collected from the field)
Sexual selection FST
Adults (males and females) Adult females Sexual selection Likelihood Ratio Test
Adult Males Adult Females Sex-biased
viability
FST,
Likelihood Ratio Test
The approach: ddRAD-seq with
reference genome
RAD-sequencing
Photo credits: Sarah Flanagan
Reference genome: Small et al. 2016 Genome Biology
34086 SNPs
48126 SNPs
Flanagan & Jones 2017, Evolution
18 loci shared between these two
55 sig. SNPs
(47 RAD loci)
611 sig. SNPs
(473 RAD loci)
Flanagan & Jones 2017, Evolution
15 Shared Male-Female Viability SNPs
Nuclear transport factor 2-like
Provirus ancestral envelope polyprotein, partial
55 sig. SNPs
Flanagan & Jones 2017, Evolution
Only few loci overlapped, but GO
categories were mostly shared
• Both sexual and viability selection are
genome-wide
– Different genomic regions but not different
functions
• FST and likelihood approaches have similar
results
SCA reveals genome-wide patterns of
sexual selection
Genome-wide selection components
analysis can provide more detailed
understanding of selection
Acknowledgements
Adam Jones
John Kelly
Jones lab
Questions?
Gulf pipefish genome:
William Cresko
Susie Bassham
Clay Small

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Flanagan Evolution2017 talk

  • 1. Genome-wide selection components analysis in a fish with male pregnancy Sarah P. Flanagan, PhD @sarahpf19
  • 2. Selection requires a genetic basis Understanding Evolution. 2016. University of California Museum of Paleontology. 22 August 2008 <http://evolution.berkeley.edu/>
  • 3. Selection leaves a signature on the genome Hohenlohe et al. 2010, Int J Plant Sci Hard Sweep Linked to Sweep Neutral NeutralBalancing selection Soft Sweep Genomic signatures of selection
  • 4. Sexual Selection Viability Selection What type of selection? ©Michael L. Baird ©Jebulon ©Tim Cronin ©Matt Kieffer
  • 5. Modified from Christiansen & Frydenberg 1973, Theor. Pop. Biol. compare allele frequencies Selection components analysis (SCA)
  • 6. Two SCA approaches Pairwise FST comparisons • Successfully detects strong selection, even when the trait has environmental component • Sample sizes should be large (>250 individuals) and many loci (across multiple chromosomes) should be sampled Maximum likelihoods • Sequential testing of models allows model comparisons • Original approach has been modified to incorporate sequencing error – Identified genome-wide viability selection in Mimulus guttatus Flanagan & Jones 2015, Ecol. Evol.Monnahan et al 2015, Evolution Christiansen & Frydenberg 1973, Theor. Pop. Biol.
  • 7. Syngnathus scovelli are ideal for SCA Dad: CT Embryo: TT Mom: T Photo credits: Sarah Flanagan
  • 8. Sexual selection favors band area or band number, primarily during mate choice Flanagan et al. 2014, JEB
  • 9. Poor swimmers, rely on camouflage Photo credit: Sarah Flanagan Photo credit: Sarah Flanagan ©Michael L. Baird
  • 10. Adult Females Pregnant Males Non- Pregnant Males Adults Embryos Viability Selection Sexual Selection 57 159 8 130 225 Selection components analysis in pipefish Group 1 Group 2 Type of selection Mode of Comparison Parent-offspring combination (Inferred pipefish female allele) Adult females (collected from the field) Sexual selection FST Adults (males and females) Adult females Sexual selection Likelihood Ratio Test Adult Males Adult Females Sex-biased viability FST, Likelihood Ratio Test
  • 11. The approach: ddRAD-seq with reference genome RAD-sequencing Photo credits: Sarah Flanagan Reference genome: Small et al. 2016 Genome Biology
  • 12. 34086 SNPs 48126 SNPs Flanagan & Jones 2017, Evolution 18 loci shared between these two 55 sig. SNPs (47 RAD loci) 611 sig. SNPs (473 RAD loci)
  • 13. Flanagan & Jones 2017, Evolution 15 Shared Male-Female Viability SNPs Nuclear transport factor 2-like Provirus ancestral envelope polyprotein, partial 55 sig. SNPs
  • 14. Flanagan & Jones 2017, Evolution Only few loci overlapped, but GO categories were mostly shared
  • 15. • Both sexual and viability selection are genome-wide – Different genomic regions but not different functions • FST and likelihood approaches have similar results SCA reveals genome-wide patterns of sexual selection Genome-wide selection components analysis can provide more detailed understanding of selection
  • 16. Acknowledgements Adam Jones John Kelly Jones lab Questions? Gulf pipefish genome: William Cresko Susie Bassham Clay Small

Notes de l'éditeur

  1. I = hard selective sweep Ii = region linked to hard sweep Iii=neutral Iv = balancing selection V = neutral Vi = soft sweep