Literature DB >> 30142979

Enhanced Herbicide Metabolism and Metabolic Resistance Genes Identified in Tribenuron-Methyl Resistant Myosoton aquaticum L.

Shuang Bai1, Weitang Liu1, Hengzhi Wang1, Ning Zhao1, Sisi Jia2, Nan Zou1, Wenlei Guo3, Jinxin Wang1.   

Abstract

The evolved resistance of Myosoton aquaticum L. to acetolactate synthase (ALS) inhibitors is well established, but most research has focused on target-site resistance, while nontarget-site resistance remains neglected. Here, we investigated mechanisms of the latter. The pretreatment with the P450 inhibitor malathion significantly increased the sensitivity of resistant plants to tribenuron-methyl. The rapid P450-mediated tribenuron-methyl metabolism in resistant plants was confirmed by LC-MS/MS analysis. Besides, GST activity was higher among resistant than susceptible individuals. The next transcriptome analysis generated 544,102,236 clean reads from RNA sequencing libraries. De novo assembly yielded 102,529 unigenes with an average length of 866 bp, annotated across seven databases. Digital gene expression selected 25 differentially expressed genes, further validated with qRT-PCR. Three P450 genes, two GST genes, two glucosyltransferase genes, four ABC transporter genes, and four additional contigs were constitutively up-regulated in resistant individuals. Overall, our research confirmed that enhanced herbicide metabolism drives tribenuron-methyl resistance in M. aquaticum.

Entities:  

Keywords:  Myosoton aquaticum L.; abiotic stress; acetolactate synthase; metabolic resistance; molecular mechanisms; transcriptomics; tribenuron-methyl

Mesh:

Substances:

Year:  2018        PMID: 30142979     DOI: 10.1021/acs.jafc.8b02740

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

1.  Transcriptome analysis reveals gene responses to herbicide, tribenuron methyl, in Brassica napus L. during seed germination.

Authors:  Liuyan Wang; Ruili Wang; Wei Lei; Jiayi Wu; Chenyang Li; Hongsong Shi; Lijiao Meng; Fang Yuan; Qingyuan Zhou; Cui Cui
Journal:  BMC Genomics       Date:  2021-04-23       Impact factor: 3.969

Review 2.  Population Genomic Approaches for Weed Science.

Authors:  Sara L Martin; Jean-Sebastien Parent; Martin Laforest; Eric Page; Julia M Kreiner; Tracey James
Journal:  Plants (Basel)       Date:  2019-09-19

3.  Coexpression Clusters and Allele-Specific Expression in Metabolism-Based Herbicide Resistance.

Authors:  Darci A Giacomini; Eric L Patterson; Anita Küpper; Roland Beffa; Todd A Gaines; Patrick J Tranel
Journal:  Genome Biol Evol       Date:  2020-12-06       Impact factor: 3.416

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.