inferring shared demographic changes from genomic data
play

Inferring shared demographic changes from genomic data Jamie R. - PowerPoint PPT Presentation

Inferring shared demographic changes from genomic data Jamie R. Oaks Department of Biological Sciences & Museum of Natural History, Auburn University June 3, 2018 Shared demographic changes Jamie Oaks phyletica.org 1/14 1


  1. Inferring shared demographic changes from genomic data Jamie R. Oaks Department of Biological Sciences & Museum of Natural History, Auburn University June 3, 2018 Shared demographic changes Jamie Oaks – phyletica.org 1/14

  2. τ 1 ◮ Recent interest in testing shared demographic changes ◮ Several nice ABC approaches 1 , 2 , 3 ◮ It’s a tricky inference problem 1 Y. L. Chan et al. (2014). Molecular Biology and Evolution 31: 2501–2515 2 A. T. Xue et al. (2015). Molecular Ecology 24: 6223–6240 3 X. A. T. et al. (2017). Molecular Ecology Resources 17: e212–e224 Shared demographic changes Jamie Oaks – phyletica.org 2/14

  3. Shared demographic changes Jamie Oaks – phyletica.org 3/14

  4. Given genomic data, can we infer the correct model and the timing of the demographic events? Shared demographic changes Jamie Oaks – phyletica.org 3/14

  5. Ecoevolity : E stimating evo lutionary coevality ◮ Simulate datasets with 500k characters ◮ Use Bayesian model averaging with full likelihood 1 , 2 ◮ No model misspecification ◮ Time of change ∼ Exponential(mean = 0.01) 1 J. R. Oaks (2018). bioRxiv 2 D. Bryant et al. (2012). Molecular Biology and Evolution 29: 1917–1932 Shared demographic changes Jamie Oaks – phyletica.org 4/14

  6. Gamma (10, mean = 0.5) Gamma (10, mean = 1.0) Gamma (10, mean = 2.0) 2.5 1.25 0.6 2.0 1.00 Density 0.4 1.5 0.75 1.0 0.50 0.2 0.5 0.25 0.0 0.00 0.0 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4 Relative size of ancestral population Ecoevolity : E stimating evo lutionary coevality ◮ Simulate datasets with 500k characters ◮ Use Bayesian model averaging with full likelihood 1 , 2 ◮ No model misspecification ◮ Time of change ∼ Exponential(mean = 0.01) 1 J. R. Oaks (2018). bioRxiv 2 D. Bryant et al. (2012). Molecular Biology and Evolution 29: 1917–1932 Shared demographic changes Jamie Oaks – phyletica.org 4/14

  7. Gamma (10, mean = 0.5) Gamma (10, mean = 1.0) Gamma (10, mean = 2.0) 2.5 1.25 0.6 2.0 1.00 Density 0.4 1.5 0.75 1.0 0.50 0.2 0.5 0.25 0.0 0.00 0.0 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4 Relative size of ancestral population Shared demographic changes Jamie Oaks – phyletica.org 5/14

  8. Gamma (10, mean = 0.5) Gamma (10, mean = 1.0) Gamma (10, mean = 2.0) 2.5 1.25 0.6 2.0 1.00 Density 0.4 1.5 0.75 1.0 0.50 0.2 0.5 0.25 0.0 0.00 0.0 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4 Relative size of ancestral population t ) 0.06 Estimated event time ( ˆ p ( t ∈ CI ) = 0.942 p ( t ∈ CI ) = 0.953 p ( t ∈ CI ) = 0.937 0.06 0.06 0.05 0.05 0.04 0.04 0.04 0.03 0.03 0.02 0.02 0.02 0.01 0.01 0.00 0.00 0.00 0.00 0.02 0.04 0.06 0.00 0.02 0.04 0.06 0.00 0.02 0.04 0.06 True event time ( t ) Shared demographic changes Jamie Oaks – phyletica.org 6/14

  9. Gamma (10, mean = 0.5) Gamma (10, mean = 1.0) Gamma (10, mean = 2.0) 2.5 1.25 0.6 2.0 1.00 Density 0.4 1.5 0.75 1.0 0.50 0.2 0.5 0.25 0.0 0.00 0.0 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4 Relative size of ancestral population k ) p (ˆ � p (ˆ � p (ˆ � k = k ) = 0.566 p ( k | D ) = 0.480 k = k ) = 0.512 p ( k | D ) = 0.458 k = k ) = 0.472 p ( k | D ) = 0.446 Estimated # of events ( ˆ 0 15 25 1 0 1 0 18 18 3 3 3 65 194 98 106 246 128 100 190 104 2 2 2 1 64 33 6 1 9 8 1 1 28 37 5 p ( k ∈ CS ) = 0.988 p ( k ∈ CS ) = 1.000 p ( k ∈ CS ) = 0.998 1 2 3 1 2 3 1 2 3 True number of events ( k ) Shared demographic changes Jamie Oaks – phyletica.org 7/14

  10. Gamma (10, mean = 0.5) Gamma (10, mean = 1.0) Gamma (10, mean = 2.0) 2.5 1.25 0.6 2.0 1.00 Density 0.4 1.5 0.75 1.0 0.50 0.2 0.5 0.25 0.0 0.00 0.0 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4 Relative size of ancestral population 0.006 p ( N e µ ∈ CI ) = 0.952 p ( N e µ ∈ CI ) = 0.935 p ( N e µ ∈ CI ) = 0.945 N e µ ) 0.006 Estimated size ( ˆ 0.005 0.005 0.006 0.004 0.004 0.004 0.003 0.003 0.002 0.002 0.002 0.001 0.001 0.000 0.000 0.000 0.000 0.002 0.004 0.006 0.000 0.002 0.004 0.006 0.000 0.002 0.004 0.006 True size of descendant population ( N e µ ) Shared demographic changes Jamie Oaks – phyletica.org 8/14

  11. Gamma (10, mean = 0.5) Gamma (10, mean = 1.0) Gamma (10, mean = 2.0) 2.5 1.25 0.6 2.0 1.00 Density 0.4 1.5 0.75 1.0 0.50 0.2 0.5 0.25 0.0 0.00 0.0 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4 Relative size of ancestral population 0.008 p ( N e µ ∈ CI ) = 0.943 p ( N e µ ∈ CI ) = 0.957 p ( N e µ ∈ CI ) = 0.943 N e µ ) Estimated size ( ˆ 0.003 0.015 0.006 0.002 0.004 0.010 0.001 0.005 0.002 0.000 0.000 0.000 0.000 0.001 0.002 0.003 0.000 0.002 0.004 0.006 0.008 0.000 0.005 0.010 0.015 True size of ancestral population ( N e µ ) Shared demographic changes Jamie Oaks – phyletica.org 9/14

  12. Thoughts ◮ Yes, this is a difficult inference problem ◮ Next step: ◮ Are there regions of parameter space where this works? Shared demographic changes Jamie Oaks – phyletica.org 10/14

  13. p ( t ∈ CI ) = 0.946 p (ˆ � RMSE = 1.02e-04 k = k ) = 0.970 p ( k | D ) = 0.980 0.06 t ) k ) 0 2 114 Estimated divergence time ( ˆ 3 0.05 Estimated number of events ( ˆ 0.04 0.03 1 266 7 2 0.02 0.01 105 5 0 1 0.00 1 2 3 0.00 0.02 0.04 0.06 True divergence time ( t ) True number of events ( k ) Good news: Inferring shared divergence times does seem to work 1 1 J. R. Oaks (2018). bioRxiv Shared demographic changes Jamie Oaks – phyletica.org 11/14

  14. Everything is on GitHub. . . Software: ◮ Ecoevolity: http://phyletica.org/ecoevolity Open-Science Notebooks: https://github.com/phyletica/ecoevolity-demog-experiments https://github.com/phyletica/ecoevolity-experiments Shared demographic changes Jamie Oaks – phyletica.org 12/14

  15. Acknowledgments Ideas and feedback: Computation: ◮ Phyletica Lab ◮ Leach´ e Lab ◮ Minin Lab Funding: ◮ Mark Holder Photo credits: ◮ PhyloPic! Shared demographic changes Jamie Oaks – phyletica.org 13/14

  16. Questions? joaks@auburn.edu � 2007 Boris Kulikov boris-kulikov.blogspot.com c Shared demographic changes Jamie Oaks – phyletica.org 14/14

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend