Literature DB >> 29274497

A phylogenomic analysis of lichen-feeding tiger moths uncovers evolutionary origins of host chemical sequestration.

Clare H Scott Chialvo1, Pablo Chialvo2, Jeffrey D Holland3, Timothy J Anderson3, Jesse W Breinholt4, Akito Y Kawahara4, Xin Zhou5, Shanlin Liu6, Jennifer M Zaspel7.   

Abstract

Host species utilize a variety of defenses to deter feeding, including secondary chemicals. Some phytophagous insects have evolved tolerance to these chemical defenses, and can sequester secondary defense compounds for use against their own predators and parasitoids. While numerous studies have examined plant-insect interactions, little is known about lichen-insect interactions. Our study focused on reconstructing the evolution of lichen phenolic sequestration in the tiger moth tribe Lithosiini (Lepidoptera: Erebidae: Arctiinae), the most diverse lineage of lichen-feeding moths, with 3000 described species. We built an RNA-Seq dataset and examined the adult metabolome for the presence of lichen-derived phenolics. Using the transcriptomic dataset, we recover a well-resolved phylogeny of the Lithosiini, and determine that the metabolomes within species are more similar than those among species. Results from an initial ancestral state reconstruction suggest that the ability to sequester phenolics produced by a single chemical pathway preceded generalist sequestration of phenolics produced by multiple chemical pathways. We conclude that phenolics are consistently and selectively sequestered within Lithosiini. Furthermore, sequestration of compounds from a single chemical pathway may represent a synapomorphy of the tribe, and the ability to sequester phenolics produced by multiple pathways arose later. These findings expand on our understanding of the interactions between Lepidoptera and their lichen hosts.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Allelochemicals; Ancestral state reconstruction; Lichen moths; Lichenivory; Metabolomics; Transcriptomics

Mesh:

Substances:

Year:  2017        PMID: 29274497      PMCID: PMC5809314          DOI: 10.1016/j.ympev.2017.12.015

Source DB:  PubMed          Journal:  Mol Phylogenet Evol        ISSN: 1055-7903            Impact factor:   4.286


  50 in total

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Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

Review 2.  Allelochemics: chemical interactions between species.

Authors:  R H Whittaker; P P Feeny
Journal:  Science       Date:  1971-02-26       Impact factor: 47.728

3.  Detoxication enzymes in the guts of caterpillars: an evolutionary answer to plant defenses?

Authors:  R I Krieger; P P Feeny; C F Wilkinson
Journal:  Science       Date:  1971-05-07       Impact factor: 47.728

4.  Storage of cannabinoids by Arctia caja and Zonocerus elegans fed on chemically distinct strains of Cannabis sativa.

Authors:  M Rothschild; M G Rowan; J W Fairbairn
Journal:  Nature       Date:  1977-04-14       Impact factor: 49.962

5.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

Review 6.  Metabolic diversity of lichen-forming ascomycetous fungi: culturing, polyketide and shikimate metabolite production, and PKS genes.

Authors:  Elfie Stocker-Wörgötter
Journal:  Nat Prod Rep       Date:  2007-10-23       Impact factor: 13.423

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8.  Can RNA-Seq resolve the rapid radiation of advanced moths and butterflies (Hexapoda: Lepidoptera: Apoditrysia)? An exploratory study.

Authors:  Adam L Bazinet; Michael P Cummings; Kim T Mitter; Charles W Mitter
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

9.  Phylogeny and evolution of pharmacophagy in tiger moths (Lepidoptera: Erebidae: Arctiinae).

Authors:  Jennifer M Zaspel; Susan J Weller; Charles T Wardwell; Reza Zahiri; Niklas Wahlberg
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10.  Selecting optimal partitioning schemes for phylogenomic datasets.

Authors:  Robert Lanfear; Brett Calcott; David Kainer; Christoph Mayer; Alexandros Stamatakis
Journal:  BMC Evol Biol       Date:  2014-04-17       Impact factor: 3.260

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2.  What Goes in Must Come Out? The Metabolic Profile of Plants and Caterpillars, Frass, And Adults of Asota (Erebidae: Aganainae) Feeding on Ficus (Moraceae) in New Guinea.

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