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Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation

We characterize allelic and gene expression variation between populations of the Glanville fritillary butterfly (Melitaea cinxia) from two fragmented and two continuous landscapes in northern Europe. The populations exhibit significant differences in their life history traits, e.g. butterflies from...

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Autores principales: Somervuo, Panu, Kvist, Jouni, Ikonen, Suvi, Auvinen, Petri, Paulin, Lars, Koskinen, Patrik, Holm, Liisa, Taipale, Minna, Duplouy, Anne, Ruokolainen, Annukka, Saarnio, Suvi, Sirén, Jukka, Kohonen, Jukka, Corander, Jukka, Frilander, Mikko J., Ahola, Virpi, Hanski, Ilkka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079591/
https://www.ncbi.nlm.nih.gov/pubmed/24988207
http://dx.doi.org/10.1371/journal.pone.0101467
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author Somervuo, Panu
Kvist, Jouni
Ikonen, Suvi
Auvinen, Petri
Paulin, Lars
Koskinen, Patrik
Holm, Liisa
Taipale, Minna
Duplouy, Anne
Ruokolainen, Annukka
Saarnio, Suvi
Sirén, Jukka
Kohonen, Jukka
Corander, Jukka
Frilander, Mikko J.
Ahola, Virpi
Hanski, Ilkka
author_facet Somervuo, Panu
Kvist, Jouni
Ikonen, Suvi
Auvinen, Petri
Paulin, Lars
Koskinen, Patrik
Holm, Liisa
Taipale, Minna
Duplouy, Anne
Ruokolainen, Annukka
Saarnio, Suvi
Sirén, Jukka
Kohonen, Jukka
Corander, Jukka
Frilander, Mikko J.
Ahola, Virpi
Hanski, Ilkka
author_sort Somervuo, Panu
collection PubMed
description We characterize allelic and gene expression variation between populations of the Glanville fritillary butterfly (Melitaea cinxia) from two fragmented and two continuous landscapes in northern Europe. The populations exhibit significant differences in their life history traits, e.g. butterflies from fragmented landscapes have higher flight metabolic rate and dispersal rate in the field, and higher larval growth rate, than butterflies from continuous landscapes. In fragmented landscapes, local populations are small and have a high risk of local extinction, and hence the long-term persistence at the landscape level is based on frequent re-colonization of vacant habitat patches, which is predicted to select for increased dispersal rate. Using RNA-seq data and a common garden experiment, we found that a large number of genes (1,841) were differentially expressed between the landscape types. Hexamerin genes, the expression of which has previously been shown to have high heritability and which correlate strongly with larval development time in the Glanville fritillary, had higher expression in fragmented than continuous landscapes. Genes that were more highly expressed in butterflies from newly-established than old local populations within a fragmented landscape were also more highly expressed, at the landscape level, in fragmented than continuous landscapes. This result suggests that recurrent extinctions and re-colonizations in fragmented landscapes select a for specific expression profile. Genes that were significantly up-regulated following an experimental flight treatment had higher basal expression in fragmented landscapes, indicating that these butterflies are genetically primed for frequent flight. Active flight causes oxidative stress, but butterflies from fragmented landscapes were more tolerant of hypoxia. We conclude that differences in gene expression between the landscape types reflect genomic adaptations to landscape fragmentation.
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spelling pubmed-40795912014-07-08 Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation Somervuo, Panu Kvist, Jouni Ikonen, Suvi Auvinen, Petri Paulin, Lars Koskinen, Patrik Holm, Liisa Taipale, Minna Duplouy, Anne Ruokolainen, Annukka Saarnio, Suvi Sirén, Jukka Kohonen, Jukka Corander, Jukka Frilander, Mikko J. Ahola, Virpi Hanski, Ilkka PLoS One Research Article We characterize allelic and gene expression variation between populations of the Glanville fritillary butterfly (Melitaea cinxia) from two fragmented and two continuous landscapes in northern Europe. The populations exhibit significant differences in their life history traits, e.g. butterflies from fragmented landscapes have higher flight metabolic rate and dispersal rate in the field, and higher larval growth rate, than butterflies from continuous landscapes. In fragmented landscapes, local populations are small and have a high risk of local extinction, and hence the long-term persistence at the landscape level is based on frequent re-colonization of vacant habitat patches, which is predicted to select for increased dispersal rate. Using RNA-seq data and a common garden experiment, we found that a large number of genes (1,841) were differentially expressed between the landscape types. Hexamerin genes, the expression of which has previously been shown to have high heritability and which correlate strongly with larval development time in the Glanville fritillary, had higher expression in fragmented than continuous landscapes. Genes that were more highly expressed in butterflies from newly-established than old local populations within a fragmented landscape were also more highly expressed, at the landscape level, in fragmented than continuous landscapes. This result suggests that recurrent extinctions and re-colonizations in fragmented landscapes select a for specific expression profile. Genes that were significantly up-regulated following an experimental flight treatment had higher basal expression in fragmented landscapes, indicating that these butterflies are genetically primed for frequent flight. Active flight causes oxidative stress, but butterflies from fragmented landscapes were more tolerant of hypoxia. We conclude that differences in gene expression between the landscape types reflect genomic adaptations to landscape fragmentation. Public Library of Science 2014-07-02 /pmc/articles/PMC4079591/ /pubmed/24988207 http://dx.doi.org/10.1371/journal.pone.0101467 Text en © 2014 Somervuo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Somervuo, Panu
Kvist, Jouni
Ikonen, Suvi
Auvinen, Petri
Paulin, Lars
Koskinen, Patrik
Holm, Liisa
Taipale, Minna
Duplouy, Anne
Ruokolainen, Annukka
Saarnio, Suvi
Sirén, Jukka
Kohonen, Jukka
Corander, Jukka
Frilander, Mikko J.
Ahola, Virpi
Hanski, Ilkka
Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation
title Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation
title_full Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation
title_fullStr Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation
title_full_unstemmed Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation
title_short Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation
title_sort transcriptome analysis reveals signature of adaptation to landscape fragmentation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079591/
https://www.ncbi.nlm.nih.gov/pubmed/24988207
http://dx.doi.org/10.1371/journal.pone.0101467
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