Literature DB >> 21410806

Functional genomics of life history variation in a butterfly metapopulation.

Christopher W Wheat1, Howard W Fescemyer, J Kvist, Eva Tas, J Cristobal Vera, Mikko J Frilander, Ilkka Hanski, James H Marden.   

Abstract

In fragmented landscapes, small populations frequently go extinct and new ones are established with poorly understood consequences for genetic diversity and evolution of life history traits. Here, we apply functional genomic tools to an ecological model system, the well-studied metapopulation of the Glanville fritillary butterfly. We investigate how dispersal and colonization select upon existing genetic variation affecting life history traits by comparing common-garden reared 2-day adult females from new populations with those from established older populations. New-population females had higher expression of abdomen genes involved in egg provisioning and thorax genes involved in the maintenance of flight muscle proteins. Physiological studies confirmed that new-population butterflies have accelerated egg maturation, apparently regulated by higher juvenile hormone titer and angiotensin converting enzyme mRNA, as well as enhanced flight metabolism. Gene expression varied between allelic forms of two metabolic genes (Pgi and Sdhd), which themselves were associated with differences in flight metabolic rate, population age and population growth rate. These results identify likely molecular mechanisms underpinning life history variation that is maintained by extinction-colonization dynamics in metapopulations.
© 2011 Blackwell Publishing Ltd.

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Year:  2011        PMID: 21410806     DOI: 10.1111/j.1365-294X.2011.05062.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  27 in total

1.  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

2.  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

3.  Unscrambling butterfly oogenesis.

Authors:  Jean-Michel Carter; Simon C Baker; Ryan Pink; David R F Carter; Aiden Collins; Jeremie Tomlin; Melanie Gibbs; Casper J Breuker
Journal:  BMC Genomics       Date:  2013-04-26       Impact factor: 3.969

Review 4.  Pleiotropy, constraint, and modularity in the evolution of life histories: insights from genomic analyses.

Authors:  Kimberly A Hughes; Jeff Leips
Journal:  Ann N Y Acad Sci       Date:  2016-12-09       Impact factor: 5.691

5.  Functional genomics of adaptation to hypoxic cold-stress in high-altitude deer mice: transcriptomic plasticity and thermogenic performance.

Authors:  Zachary A Cheviron; Alex D Connaty; Grant B McClelland; Jay F Storz
Journal:  Evolution       Date:  2013-09-16       Impact factor: 3.694

6.  RNA sequencing reveals small RNAs differentially expressed between incipient Japanese threespine sticklebacks.

Authors:  Jun Kitano; Kohta Yoshida; Yutaka Suzuki
Journal:  BMC Genomics       Date:  2013-04-02       Impact factor: 3.969

7.  Genomic toolboxes for conservation biologists.

Authors:  Francesco Angeloni; Niels Wagemaker; Philippine Vergeer; Joop Ouborg
Journal:  Evol Appl       Date:  2011-11-17       Impact factor: 5.183

8.  A de novo transcriptome of the Asian tiger mosquito, Aedes albopictus, to identify candidate transcripts for diapause preparation.

Authors:  Monica F Poelchau; Julie A Reynolds; David L Denlinger; Christine G Elsik; Peter A Armbruster
Journal:  BMC Genomics       Date:  2011-12-20       Impact factor: 3.969

9.  Fine-scale mapping of natural variation in fly fecundity identifies neuronal domain of expression and function of an aquaporin.

Authors:  Alan O Bergland; Hyo-seok Chae; Young-Joon Kim; Marc Tatar
Journal:  PLoS Genet       Date:  2012-04-05       Impact factor: 5.917

Review 10.  Determinants of intra-specific variation in basal metabolic rate.

Authors:  Marek Konarzewski; Aneta Książek
Journal:  J Comp Physiol B       Date:  2012-07-31       Impact factor: 2.200

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