Context-dependent male mate choice in western mosquitofish Sam Wong - - PowerPoint PPT Presentation

context dependent male mate choice in western mosquitofish
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Context-dependent male mate choice in western mosquitofish Sam Wong - - PowerPoint PPT Presentation

Context-dependent male mate choice in western mosquitofish Sam Wong UCSC Alonzo Lab May 2020 Mate choice Mate choice: non-random mating, usually based on preferences for certain ? traits in a partner - Traits usually increase choosy


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Context-dependent male mate choice in western mosquitofish

Sam Wong UCSC Alonzo Lab May 2020

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Mate choice

  • Mate choice: non-random

mating, usually based on preferences for certain traits in a partner

  • Traits usually increase

choosy individual’s fitness

  • Research biased towards

female choice

?

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My question

  • Family Poecilidae used to

study mate choice

  • Gravid spot: dark spot on

female abdomen

  • Associated with

fecundity Research question: Do male mosquitofish show preference for gravid spot size? Hypothesis: Males will prefer larger gravid spots.

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SLIDE 4

Photo by Doriane Weiler

Methods

  • Male paired with 2

random females

  • 20-min recording
  • Fish photographed

after

  • Counted male

copulation attempts towards each female

  • Measured gravid spot

size in photos

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Male preference scores

Male preference score = Attempts toward large spot female

  • Attempts toward

small spot female

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Pooled data

  • Evidence for preference
  • Unexpected results
  • Other explanations?

*P < 0.01

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SLIDE 7

Degree of difference in female spots

LARGE SPOT DIFFERENCE MODERATE SPOT DIFFERENCE LARGER SPOT FEMALE SMALLER SPOT FEMALE SMALL SPOT DIFFERENCE MALE

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Male preference score differed from zero when the degree of difference was large. Males preferred smaller spots.

*P < 0.01

Degree of difference results

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  • Evidence for male preference
  • When males could distinguish
  • Don’t generalize
  • Preference for degree of difference likely related to cognition
  • Species generalization or method of analysis
  • Ideally use mixed-effects model

Conclusions

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SLIDE 10

Doriane Weiler Suzanne Alonzo Eric Palkovacs Hannah Thacker Avery Laing Allie Smith Madeleine Glenn Juan Flores Emily Hennings

ACKNOWLEDGEMENTS