Literature DB >> 28755464

Acetyl-CoA carboxylase overexpression in herbicide-resistant large crabgrass (Digitaria sanguinalis).

Martin Laforest1, Brahim Soufiane1, Marie-Josée Simard1, Kristen Obeid2, Eric Page3, Robert E Nurse3.   

Abstract

BACKGROUND: The occurrence of herbicide-resistant weed biotypes is increasing and this report of an acetyl-CoA carboxylase (ACCase) inhibitor-resistant Digitaria sanguinalis L. Scop. from southwestern Ontario is another example. The identified weed escaped control in an onion and carrot rotation in which graminicides were used for several consecutive years. Our goal was to characterize the level and mechanism of resistance of the biotype.
RESULTS: The biotype was resistant to all five ACCase inhibitor herbicides tested. Gene-expression profiling was performed because none of the mutations known to confer resistance in the ACCase gene were detected. RNASeq and quantitative reverse-transcriptase PCR (qRT-PCR) results indicated that transcription of ACCase was 3.4-9.3 times higher in the resistant biotype than the susceptible biotype. ACCase gene copy number was determined by qPCR to be five to seven times higher in the resistant compared with the susceptible biotype. ACCase gene overexpression was directly related to the increase of the ACCase gene copy number.
CONCLUSION: Our results are consistent with the hypothesis that overexpression of the herbicide target gene ACCase confers resistance to the herbicide. This is the first reported case of target gene duplication conferring resistance to a herbicide other than glyphosate.
© 2017 Society of Chemical Industry See related Article. © 2017 Society of Chemical Industry.

Entities:  

Keywords:  ACCase inhibitors; Digitaria sanguinalis L. Scop.: DIGSA; clethodim; dose-response; fenoxaprop-P-ethyl; fluazifop-P-butyl; herbicide resistance; overexpression; quizalofop-P-ethyl; sethoxydim

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Year:  2017        PMID: 28755464     DOI: 10.1002/ps.4675

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


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