Literature DB >> 31270924

Harnessing the power of next-generation sequencing technologies to the purpose of high-throughput pesticide resistance diagnosis.

Christophe Délye1, Séverine Michel1, Fanny Pernin1, Véronique Gautier2, Marie Gislard3, Charles Poncet2, Valérie Le Corre1.   

Abstract

BACKGROUND: Next Generation Sequencing (NGS) technologies offer tremendous possibilities for high-throughput pesticide resistance diagnosis via massive genotyping-by-sequencing. Herein, we used Illumina sequencing combined with a simple, non-commercial bioinformatics pipe-line to seek mutations involved in herbicide resistance in two weeds.
RESULTS: DNA was extracted from 96 pools of 50 plants for each species. Three amplicons encompassing 15 ALS (acetolactate-synthase) codons crucial for herbicide resistance were amplified from each DNA extract. Above 18 and 20 million quality 250-nucleotide sequence reads were obtained for groundsel (Senecio vulgaris, tetraploid) and ragweed (Ambrosia artemisiifolia, diploid), respectively. Herbicide resistance-endowing mutations were identified in 45 groundsel and in eight ragweed field populations. The mutations detected and their frequencies assessed by NGS were checked by individual plant genotyping or Sanger sequencing. NGS results were fully confirmed, except in three instances out of 12 where mutations present at a frequency of 1% were detected below the threshold set for reliable mutation detection.
CONCLUSION: Analyzing 9600 plants requested 192 DNA extractions followed by 1728 PCRs and two Illumina runs. Equivalent results obtained by individual analysis would have necessitated 9600 individual DNA extractions followed by 216 000 genotyping PCRs, or by 121 500 PCRs and 40 500 Sanger sequence runs. This clearly demonstrates the interest and power of NGS-based detection of pesticide resistance from pools of individuals for diagnosing resistance in massive numbers of individuals.
© 2019 Society of Chemical Industry. © 2019 Society of Chemical Industry.

Entities:  

Keywords:  acetolactate-synthase; diagnosis; genotyping-by-sequencing; herbicide; illumina; resistance

Mesh:

Substances:

Year:  2019        PMID: 31270924     DOI: 10.1002/ps.5543

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


  5 in total

Review 1.  Omics Potential in Herbicide-Resistant Weed Management.

Authors:  Eric L Patterson; Christopher Saski; Anita Küpper; Roland Beffa; Todd A Gaines
Journal:  Plants (Basel)       Date:  2019-12-14

2.  A high diversity of mechanisms endows ALS-inhibiting herbicide resistance in the invasive common ragweed (Ambrosia artemisiifolia L.).

Authors:  Ingvild Loubet; Laëtitia Caddoux; Séverine Fontaine; Séverine Michel; Fanny Pernin; Benoit Barrès; Valérie Le Corre; Christophe Délye
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

3.  Transcriptome Analysis for Identification of Genes Related to Growth and Development, Digestion and Detoxification, Olfaction in the Litchi Stink Bug Tessaratoma papillosa.

Authors:  Lin Cheng; Shuncai Han; Jingtao Jiang; Haichao Li; Lingfei Peng
Journal:  Front Physiol       Date:  2022-01-24       Impact factor: 4.566

4.  Herbicide Resistance in Plants.

Authors:  Hugh J Beckie
Journal:  Plants (Basel)       Date:  2020-04-01

5.  Identification and phylogenetic analysis of voltage-gated sodium channel haplotypes in the malaria vector Anopheles sinensis using a high-throughput amplicon sequencing approach.

Authors:  Ruoyao Ni; Nian Liu; Mei Li; Weiping Qian; Xinghui Qiu
Journal:  Parasit Vectors       Date:  2021-09-26       Impact factor: 3.876

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.