Literature DB >> 24611577

Exploring plant defense theory in tall goldenrod, Solidago altissima.

Jeremy J Heath1, André Kessler2, Eric Woebbe1, Don Cipollini1, John O Stireman1.   

Abstract

Understanding the evolutionary reasons for patterns of chemical defense in plants is an ongoing theoretical and empirical challenge. The goal is to develop a model that can reliably predict how defenses are distributed within the plant over space and time. This is difficult given that evolutionary, ecological, and physiological processes and tradeoffs can operate over different spatial and temporal scales. We evaluated the major predictions of two leading defense theories, the growth-differentiation balance hypothesis (GDBH) and optimal defense theory (ODT). To achieve this, enemies, fitness components, terpenoids, and protease inhibitors were measured in Solidago altissima and used to construct conventional univariate and structural equation models (SEMs). Leaf-tissue value indices extracted from an SEM revealed a strong correlation between tissue value and terpenoid defense that supports ODT. A tradeoff between serine protease inhibition and growth as well as an indirect tradeoff between growth and terpenoids manifested through galling insects supported the GDBH. Interestingly, there was a strong direct effect of terpenoids on rhizome mass, suggesting service to both storage and defense. The results support established theories but unknown genotypic traits explained much of the variation in defense, confirming the need to integrate emerging theories such as pollination constraints, defense syndromes, tolerance, mutualisms, and facilitation.
© 2014 The Authors. New Phytologist © 2014 New Phytologist Trust.

Entities:  

Keywords:  Solidago altissima; growth differentiation balance hypothesis; optimal defense; plant defense; resource allocation

Mesh:

Substances:

Year:  2014        PMID: 24611577     DOI: 10.1111/nph.12755

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  11 in total

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Authors:  David Solance Smith; Matthew K Lau; Ryan Jacobs; Jenna A Monroy; Stephen M Shuster; Thomas G Whitham
Journal:  Oecologia       Date:  2015-06-11       Impact factor: 3.225

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Authors:  Sandra Kleine; Caroline Müller
Journal:  J Chem Ecol       Date:  2014-10-15       Impact factor: 2.626

4.  Eco-evolutionary processes affecting plant-herbivore interactions during early community succession.

Authors:  Mia M Howard; Aino Kalske; André Kessler
Journal:  Oecologia       Date:  2018-02-26       Impact factor: 3.225

5.  Testing the optimal defense hypothesis in nature: Variation for glucosinolate profiles within plants.

Authors:  Rose A Keith; Thomas Mitchell-Olds
Journal:  PLoS One       Date:  2017-07-21       Impact factor: 3.240

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Authors:  Nathan P Lemoine; Deron E Burkepile; John D Parker
Journal:  PeerJ       Date:  2017-03-21       Impact factor: 2.984

7.  Cotton Defense Induction Patterns Under Spatially, Temporally and Quantitatively Varying Herbivory Levels.

Authors:  Michael Eisenring; Michael Meissle; Steffen Hagenbucher; Steven E Naranjo; Felix Wettstein; Jörg Romeis
Journal:  Front Plant Sci       Date:  2017-02-21       Impact factor: 5.753

8.  Comparative transcriptome analyses revealed differential strategies of roots and leaves from methyl jasmonate treatment Baphicacanthus cusia (Nees) Bremek and differentially expressed genes involved in tryptophan biosynthesis.

Authors:  Wenjin Lin; Wei Huang; Shuju Ning; Xiaogui Gong; Qi Ye; Daozhi Wei
Journal:  PLoS One       Date:  2019-03-13       Impact factor: 3.240

9.  Changes in cytokinins are sufficient to alter developmental patterns of defense metabolites in Nicotiana attenuata.

Authors:  Christoph Brütting; Martin Schäfer; Radomíra Vanková; Klaus Gase; Ian T Baldwin; Stefan Meldau
Journal:  Plant J       Date:  2017-01       Impact factor: 6.417

10.  Is protection against florivory consistent with the optimal defense hypothesis?

Authors:  Adrienne L Godschalx; Lauren Stady; Benjamin Watzig; Daniel J Ballhorn
Journal:  BMC Plant Biol       Date:  2016-01-28       Impact factor: 4.215

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