Literature DB >> 16705321

Frequency and fitness cost of resistance to Bacillus thuringiensis in Chrysomela tremulae (Coleoptera: Chrysomelidae).

A-L Wenes1, D Bourguet, D A Andow, C Courtin, G Carré, P Lorme, L Sanchez, S Augustin.   

Abstract

The "high dose-refuge" (HDR) strategy is commonly recommended and currently used for delaying or preventing pest adaptation to transgenic plants producing Bacillus thuringiensis (Bt) toxins. The efficiency of this strategy depends, among other factors, on the initial frequency of Bt resistance alleles and on the fitness costs associated with these alleles. Two years ago, an allele conferring resistance to Bt poplar was detected in a French population of the poplar pest Chrysomela tremulae F. Although this pest had never been subjected to Bt selection pressure due to human activities, the frequency of this allele was estimated at 0.0037, with a 95% credible (CI) interval of 0.00045-0.0080. We investigated the frequency of this allele in a second sample of C. tremulae collected more than 500 km from the site of the initial population. The estimated frequency in this sample was 0.0113 (95% CI 0.0031-0.0247), reinforcing the conclusion that resistance to Bt plants may be present at detectable frequencies in pest populations before selection resulting from pest management by humans. The frequency of the Bt resistance allele over the two samples was 0.0049 (95% CI 0.0020-0.0091). We also followed five laboratory lines in which the frequency of this allele was initially fixed at 0.500. After five generations maintained on non-Bt poplar leaves, the frequency of this allele decreased in all lines, whereas allelic frequencies at a neutral locus were unaffected. Thus, the Bt resistance allele detected in French populations of C. tremulae is probably associated with a fitness cost.

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Year:  2006        PMID: 16705321     DOI: 10.1038/sj.hdy.6800845

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  8 in total

1.  Detection of an allele conferring resistance to Bacillus sphaericus binary toxin in Culex quinquefasciatus populations by molecular screening.

Authors:  Karlos Diogo de Melo Chalegre; Tatiany Patrícia Romão; Liliane Barbosa Amorim; Daniela Bandeira Anastacio; Rosineide Arruda de Barros; Cláudia Maria Fontes de Oliveira; Lêda Regis; Osvaldo Pompílio de-Melo-Neto; Maria Helena Neves Lobo Silva-Filha
Journal:  Appl Environ Microbiol       Date:  2008-12-19       Impact factor: 4.792

2.  Incipient resistance of Helicoverpa punctigera to the Cry2Ab Bt toxin in Bollgard II cotton.

Authors:  Sharon Downes; Tracey Parker; Rod Mahon
Journal:  PLoS One       Date:  2010-09-07       Impact factor: 3.240

3.  Increased resistance of Bt aspens to Phratora vitellinae (Coleoptera) leads to increased plant growth under experimental conditions.

Authors:  Joakim Hjältén; E Petter Axelsson; Thomas G Whitham; Carri J LeRoy; Riitta Julkunen-Tiitto; Anders Wennström; Gilles Pilate
Journal:  PLoS One       Date:  2012-01-24       Impact factor: 3.240

4.  The skill and style to model the evolution of resistance to pesticides and drugs.

Authors: 
Journal:  Evol Appl       Date:  2010-03-29       Impact factor: 5.183

5.  A P-Glycoprotein Is Linked to Resistance to the Bacillus thuringiensis Cry3Aa Toxin in a Leaf Beetle.

Authors:  Yannick Pauchet; Anne Bretschneider; Sylvie Augustin; David G Heckel
Journal:  Toxins (Basel)       Date:  2016-12-05       Impact factor: 4.546

6.  First detection of a Sesamia nonagrioides resistance allele to Bt maize in Europe.

Authors:  Ana M Camargo; David A Andow; Pedro Castañera; Gema P Farinós
Journal:  Sci Rep       Date:  2018-03-05       Impact factor: 4.379

7.  Epistasis confers resistance to Bt toxin Cry1Ac in the cotton bollworm.

Authors:  Meijing Gao; Ximeng Wang; Yihua Yang; Bruce E Tabashnik; Yidong Wu
Journal:  Evol Appl       Date:  2018-02-10       Impact factor: 5.183

8.  Progression of phosphine resistance in susceptible Tribolium castaneum (Herbst) populations under different immigration regimes and selection pressures.

Authors:  Michelle A Rafter; Graham A McCulloch; Gregory J Daglish; Gimme H Walter
Journal:  Evol Appl       Date:  2017-06-14       Impact factor: 5.183

  8 in total

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