Experimental evolution of longevity
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Indiana University Seminar In Ecology & Environmental Biology Series. Bloomington, IN. Contributed talk. 2019/03/05
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For a free catalog of books, call 1.800.722.6657.
Visit our web site at www.papress.com.
© 2007 Sciencewriters
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Printed and bound in China.
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No part of this book may be used or reproduced in any manner without written permission
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Experimental evolution of longevity
- 1. Experimental evolution of longevity Roy Z Moger-Reischer rzmogerr@indiana.edu
- 2. Acknowledgements • Jay Lennon, Megan Behringer, Daniel Schwartz, Jordan Bird, Will Shoemaker, Nathan Wisnoski, Emmi Mueller • Betsy Snider, Kelsey McKenzie, Danni Boylan, JD French • Farrah Bashey-Visser, Jake McKinlay, Matt Hahn • Kevin Webster, Ashwini Ramesh, Etienne Nzabarushimana, Katie Beidler, Misty Proffitt
- 3. log(lx) x No senescenceSenescence • Background theory • Laboratory experiments 𝑅0 = න 𝑥=𝛼 ∞ 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥
- 5. Life-history theory 𝑅0 = න 𝑥=𝛼 ∞ 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥 Age x Expectedfecundity α …∞
- 6. log(lx) x Life-history theory 𝑅0 = න 𝑥=𝛼 ∞ 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥 Extrinsic mortality
- 7. log(lx) x No senescenceSenescence Life-history theory 𝑅0 = න 𝑥=𝛼 ∞ 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥 Senescence is a problem for evolutionary biology.
- 8. log(lx) x No senescenceSenescence 𝑠 𝑥 = න 𝑥 ∞ 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥 = 1 − න 0 𝑥 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥 Life-history theory
- 10. Life-history theory Ricklefs 2010 (Aging Cell)
- 11. log(lx) x No senescenceSenescence Life-history theory 𝑅0 = න 𝑥=𝛼 ∞ 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥
- 12. Life-history theory Luckinbill et al. 1984 (Evolution)
- 13. Life-history theory Khazaeli & Curtsinger 2010 (Evolution)Luckinbill et al. 1984 (Evolution)
- 14. log(lx) x No senescenceSenescence • Background theory • Laboratory experiments Alberts 2008
- 15. Experiment: antagonistic pleiotropy • Reveal reproduction-longevity tradeoffs • Show whether selection for one life-history trait constrains the other life-history trait
- 16. Experiment: antagonistic pleiotropy • Treatment 1: Experimental evolution, serial transfer, every 3 days • Age-associated mortality: 0% • Proportion total fitness from longevity component: 0.00 (a priori)
- 17. Experiment: antagonistic pleiotropy • Treatment 2: Experimental evolution, serial transfer, every 12 days • Age-associated mortality: ~95% • Proportion total fitness from longevity component: ~0.54 to ~0.58 (via simulation)
- 18. Trt 1 (no long) Reproductivefitness(W) Trt 2 (longevity selection)
- 19. Trt 1 (no long) Lifeexpectancy(days) Trt 2 (longevity selection)
- 21. Experiment: dietary restriction • Dietary restriction == reduction in energy consumed, without malnutrition • Most reproducible and phylogenetically broadly applicable environmental intervention to ↑ longevity • Evolutionary basis of dietary restriction effect?
- 22. Experiment: dietary restriction • Evolutionary basis of dietary restriction effect? • Adaptive reallocation hypothesis • Cellular recycling hypothesis 𝑅0 = න 𝑥=𝛼 ∞ 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥
- 27. log(lx) x No senescenceSenescence • Life-history theory makes testable predictions about the evolution of longevity and senescence • I did some laboratory experiments • I want to show whether selection for longevity constrains the evolution of reproductive fitness • I showed that life extension by DR is not adaptive reallocation 𝑅0 = න 𝑥=𝛼 ∞ 𝑙 𝑥 𝑚 𝑥 ⅆ𝑥
- 28. extra materials
- 29. Experiment: antagonistic pleiotropy • Treatment 2: Experimental evolution, serial transfer, every 12 days • Age-associated mortality: ~95% • Proportion total fitness from longevity component: ?
- 32. log(lx) x No senescenceSenescence Life history theory is an elaborate answer to the simple question of why having more offspring is not always selected for. (van Noordwijk & de Jong, 1986, p. 137) 1 = න 0 ∞ 𝑙 𝑥 𝑚 𝑥 ⅇ−𝑟𝑥 ⅆ𝑥
- 33. log(lx) x No senescenceSenescence Life history theory is an elaborate answer to the simple question of why having more offspring is not always selected for. (van Noordwijk & de Jong, 1986, p. 137) Similarly, life history theory ventures to answer why unlimited longevity is not always selected for.
- 34. log(lx) x No senescenceSenescence Life-history theory 𝑉 𝑥 = ⅇ 𝑟𝑥 𝑙 𝑥 න 𝑥 ∞ ⅇ−𝑟𝑥 𝑙 𝑦 𝑚 𝑦 ⅆ𝑦