Molecular Phylogeny for Colias Butterflies and Their Relatives (Lepidoptera: Pieridae)

Pollock, David D.; Watt, Ward B.; Rashbrook, Vanessa K.; Iyengar, Erika V.

doi:10.1093/aesa/91.5.524

Cited by 37 publications

(45 citation statements)

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“…5). Trees 1 and 2 place Dismorphiniae sister to Coliadinae plus Pierinae, concordant with previous studies (13,71). Tree topologies differed in their terminal branching patterns, whereas subfamily relationships were stable (see SI Materials and Methods for analysis details).…”

Section: Methodssupporting

confidence: 89%

The genetic basis of a plant–insect coevolutionary key innovation

Wheat

Vogel

Wittstock

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

320

368

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Ehrlich and Raven formally introduced the concept of stepwise coevolution using butterfly and angiosperm interactions in an attempt to account for the impressive biological diversity of these groups. However, many biologists currently envision butterflies evolving 50 to 30 million years (Myr) after the major angiosperm radiation and thus reject coevolutionary origins of butterfly biodiversity. The unresolved central tenet of Ehrlich and Raven's theory is that evolution of plant chemical defenses is followed closely by biochemical adaptation in insect herbivores, and that newly evolved detoxification mechanisms result in adaptive radiation of herbivore lineages. Using one of their original butterfly-host plant systems, the Pieridae, we identify a pierid glucosinolate detoxification mechanism, nitrile-specifier protein (NSP), as a key innovation. Larval NSP activity matches the distribution of glucosinolate in their host plants. Moreover, by using five different temporal estimates, NSP seems to have evolved shortly after the evolution of the host plant group (Brassicales) (Ϸ10 Myr). An adaptive radiation of these glucosinolate-feeding Pierinae followed, resulting in significantly elevated species numbers compared with related clades. Mechanistic understanding in its proper historical context documents more ancient and dynamic plant-insect interactions than previously envisioned. Moreover, these mechanistic insights provide the tools for detailed molecular studies of coevolution from both the plant and insect perspectives.adaptive radiation ͉ Brassicales ͉ Pieridae ͉ diversification ͉ Bayesian relaxed molecular clock

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Section: Methodssupporting

confidence: 89%

The genetic basis of a plant–insect coevolutionary key innovation

Wheat

Vogel

Wittstock

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

320

368

View full text Add to dashboard Cite

show abstract

“…One species characteristic (migratory behaviour) was a categorical variable with more than two categories, so we reclassified it into a series of binary variables, one for each category of the original variable. A phylogenetic topology was generated based on published studies (Pieridae: Pollock et al 1998;Braby et al 2006;Lycaenidae: Pierce et al 2002;Pech et al 2004;Nymphalidae: Brower 2000;Wahlberg et al 2003;Freitas and Brown 2004;All groups: García-Barros 2000;Wahlberg et al 2005). In the absence of data describing branch lengths, all branches were assigned a length of one, assuming punctuational evolution (Bro-Jørgensen 2007).…”

Section: Methodsmentioning

confidence: 99%

Effect of characteristics of butterfly species on the accuracy of distribution models in an arid environment

et al. 2009

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Species distribution models show great promise as tools for conservation ecology. However, their accuracy has been shown to vary widely among taxa. There is some evidence that this variation is partly owing to ecological differences among species, which make them more or less easy to model. Here we test the effect of five characteristics of Egyptian butterfly species on the accuracy of distribution models, the first such comparison for butterflies in an arid environment. Unlike most previous studies, we perform independent contrasts to control for species relatedness. We show that range size, both globally and locally, has a negative effect on model accuracy. The results shed light on causes of variation in distribution model accuracy among species, and hence have relevance to practitioners using species distribution models in conservation decision making.

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“…Hajibabaei et al, 2006). Other regions of the mt genome have not been extensively used across the order however several other genes which have been used in butterfly studies (nad5, rns and control region) have yet to be extensively trialed in other lepidopteran superfamilies (Pollock et al, 1998;Yagi et al, 1999;Vila and Björklund, 2004). Examination of entire mt genomes across the Lepidoptera will allow the testing of these well studied regions and the utilization of novel mt gene regions for molecular analysis.…”

Section: Introductionmentioning

confidence: 99%