EE BIOL 100 Lecture Notes - Lecture 3: Australian Funnel-Web Spider, Quantitative Genetics, Genetic Variation

• School: UCLA
• Department: Ecology and Evolutionary Biology
• Course: EE BIOL 100
• Professor: Blumstein, D.T.Fong, P.M.

Document Summary

If you can measure variation in a trait, then you can partition out that variation into genetic and environmental components. Vp= vg + ve h2 = vg/vp: v = variance. W1r: g = genetic, e = environmental, p = phenotypic, h2 = heritability. If ve = 0, then h2 = 1: h2 is a population measure, herita(cid:271)ilit(cid:455) i(cid:374)herita(cid:374)(cid:272)e (heritability must have variation, capability of being selected for) Remember, the slope of a line is: y = mx + b--in this case h2 = m. Why or why not: 90% of variation is biased in estimating heritability, other 3rd-variable factors: the environment, parental factors/care, etc. Cross-fostering: inferring heritability when parental care matters: move eggs between nests. Common garden experiment w/ southern northern california poppies. Common garden experiments on funnel web spiders (reichert & hedrick: streamside populations: slow response to prey, desert populations: fast response, brought into laboratory and raised offspring in a common garden, population differences persisted.