Literature DB >> 19739384

Flight metabolic rate and Pgi genotype influence butterfly dispersal rate in the field.

Kristjan Niitepõld1, Alan D Smith, Juliet L Osborne, Don R Reynolds, Norman L Carreck, Andrew P Martin, James H Marden, Otso Ovaskainen, Ilkka Hanski.   

Abstract

Dispersal is a key life-history trait, especially in species inhabiting fragmented landscapes. The process of dispersal is affected by a suite of morphological, physiological, and behavioral traits, all of which have a more or less complex genetic basis and are affected by the prevailing environmental conditions. To be able to identify genetic and phenotypic effects on dispersal, movements have to be recorded over relevant spatial and temporal scales. We used harmonic radar to track free-flying Glanville fritillary butterflies (Melitaea cinxia) released in the field and reconstructed their flight tracks for several hours. Flight track lengths for individual butterflies ranged from tens of meters to several kilometers. Butterflies were most mobile at midday and in intermediate temperatures. Flight metabolic rate (MR), measured prior to the tracking, explained variation in mobility at all scales studied. One-third of the variation in the distance moved in one hour could be attributed to variation in flight MR. Heterozygous individuals at a single nucleotide polymorphism in the phosphoglucose isomerase (Pgi) gene moved longer distances in the morning and at lower ambient temperatures than homozygous individuals. A similar genotype x temperature interaction was found to affect the metabolic rate. Our results establish connections from molecular variation in a single gene to flight physiology and movement behavior at the landscape level. These results indicate a fitness advantage to the heterozygous genotype in low temperatures and suggest a mechanism by which varying environmental conditions maintain genetic polymorphism in populations.

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Year:  2009        PMID: 19739384     DOI: 10.1890/08-1498.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  39 in total

1.  Integrating evolutionary and functional approaches to infer adaptation at specific loci.

Authors:  Jay F Storz; Christopher W Wheat
Journal:  Evolution       Date:  2010-09       Impact factor: 3.694

2.  Eco-evolutionary spatial dynamics in the Glanville fritillary butterfly.

Authors:  Ilkka A Hanski
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-25       Impact factor: 11.205

3.  Predictable allele frequency changes due to habitat fragmentation in the Glanville fritillary butterfly.

Authors:  Toby Fountain; Marko Nieminen; Jukka Sirén; Swee Chong Wong; Rainer Lehtonen; Ilkka Hanski
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-22       Impact factor: 11.205

4.  High genetic load in an old isolated butterfly population.

Authors:  Anniina L K Mattila; Anne Duplouy; Malla Kirjokangas; Rainer Lehtonen; Pasi Rastas; Ilkka Hanski
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

5.  Nectar resource limitation affects butterfly flight performance and metabolism differently in intensive and extensive agricultural landscapes.

Authors:  Julie Lebeau; Renate A Wesselingh; Hans Van Dyck
Journal:  Proc Biol Sci       Date:  2016-05-11       Impact factor: 5.349

6.  Significant effects of Pgi genotype and body reserves on lifespan in the Glanville fritillary butterfly.

Authors:  Marjo Saastamoinen; Suvi Ikonen; Ilkka Hanski
Journal:  Proc Biol Sci       Date:  2009-01-06       Impact factor: 5.349

7.  Flight metabolic rate has contrasting effects on dispersal in the two sexes of the Glanville fritillary butterfly.

Authors:  Kristjan Niitepõld; Anniina L K Mattila; Philip J Harrison; Ilkka Hanski
Journal:  Oecologia       Date:  2010-12-29       Impact factor: 3.225

8.  Genetic architecture of migration-related traits in rainbow and steelhead trout, Oncorhynchus mykiss.

Authors:  Benjamin C Hecht; Frank P Thrower; Matthew C Hale; Michael R Miller; Krista M Nichols
Journal:  G3 (Bethesda)       Date:  2012-09-01       Impact factor: 3.154

9.  Experiments confirm a dispersive phenotype associated with a natural gene drive system.

Authors:  Jan-Niklas Runge; Anna K Lindholm
Journal:  R Soc Open Sci       Date:  2021-05-12       Impact factor: 2.963

Review 10.  The importance of mosquito behavioural adaptations to malaria control in Africa.

Authors:  Michelle L Gatton; Nakul Chitnis; Thomas Churcher; Martin J Donnelly; Azra C Ghani; H Charles J Godfray; Fred Gould; Ian Hastings; John Marshall; Hilary Ranson; Mark Rowland; Jeff Shaman; Steve W Lindsay
Journal:  Evolution       Date:  2013-02-15       Impact factor: 3.694

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