Literature DB >> 19825013

Fitness costs associated with evolved herbicide resistance alleles in plants.

Martin M Vila-Aiub1, Paul Neve, Stephen B Powles.   

Abstract

Predictions based on evolutionary theory suggest that the adaptive value of evolved herbicide resistance alleles may be compromised by the existence of fitness costs. There have been many studies quantifying the fitness costs associated with novel herbicide resistance alleles, reflecting the importance of fitness costs in determining the evolutionary dynamics of resistance. However, many of these studies have incorrectly defined resistance or used inappropriate plant material and methods to measure fitness. This review has two major objectives. First, to propose a methodological framework that establishes experimental criteria to unequivocally evaluate fitness costs. Second, to present a comprehensive analysis of the literature on fitness costs associated with herbicide resistance alleles. This analysis reveals unquestionable evidence that some herbicide resistance alleles are associated with pleiotropic effects that result in plant fitness costs. Observed costs are evident from herbicide resistance-endowing amino acid substitutions in proteins involved in amino acid, fatty acid, auxin and cellulose biosynthesis, as well as enzymes involved in herbicide metabolism. However, these resistance fitness costs are not universal and their expression depends on particular plant alleles and mutations. The findings of this review are discussed within the context of the plant defence trade-off theory and herbicide resistance evolution.

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Year:  2009        PMID: 19825013     DOI: 10.1111/j.1469-8137.2009.03055.x

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


  52 in total

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Authors:  Rafal Mostowy; Jan Engelstädter
Journal:  Proc Biol Sci       Date:  2010-12-22       Impact factor: 5.349

2.  Changes in fitness-associated traits due to the stacking of transgenic glyphosate resistance and insect resistance in Brassica napus L.

Authors:  J P Londo; M A Bollman; C L Sagers; E H Lee; L S Watrud
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Review 3.  A unified approach to the estimation and interpretation of resistance costs in plants.

Authors:  M M Vila-Aiub; P Neve; F Roux
Journal:  Heredity (Edinb)       Date:  2011-05-04       Impact factor: 3.821

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Authors:  Margot Paris; Jean-Philippe David; Laurence Despres
Journal:  Ecotoxicology       Date:  2011-04-03       Impact factor: 2.823

5.  Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses.

Authors:  Mato Lagator; Nick Colegrave; Paul Neve
Journal:  Proc Biol Sci       Date:  2014-11-07       Impact factor: 5.349

6.  No fitness cost of glyphosate resistance endowed by massive EPSPS gene amplification in Amaranthus palmeri.

Authors:  Martin M Vila-Aiub; Sou S Goh; Todd A Gaines; Heping Han; Roberto Busi; Qin Yu; Stephen B Powles
Journal:  Planta       Date:  2014-01-03       Impact factor: 4.116

7.  Response to imazapyr and dominance relationships of two imidazolinone-tolerant alleles at the Ahasl1 locus of sunflower.

Authors:  Carlos A Sala; Mariano Bulos; Emiliano Altieri; Brigitte Weston
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8.  Evolution of a double amino acid substitution in the 5-enolpyruvylshikimate-3-phosphate synthase in Eleusine indica conferring high-level glyphosate resistance.

Authors:  Qin Yu; Adam Jalaludin; Heping Han; Ming Chen; R Douglas Sammons; Stephen B Powles
Journal:  Plant Physiol       Date:  2015-02-25       Impact factor: 8.340

9.  AHAS herbicide resistance endowing mutations: effect on AHAS functionality and plant growth.

Authors:  Qin Yu; Heping Han; Martin M Vila-Aiub; Stephen B Powles
Journal:  J Exp Bot       Date:  2010-07-13       Impact factor: 6.992

10.  A new insight into arable weed adaptive evolution: mutations endowing herbicide resistance also affect germination dynamics and seedling emergence.

Authors:  Christophe Délye; Yosra Menchari; Séverine Michel; Emilie Cadet; Valérie Le Corre
Journal:  Ann Bot       Date:  2013-02-07       Impact factor: 4.357

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