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

Christophe DélyeSéverine MichelFanny PerninVéronique GautierMarie GislardCharles PoncetValérie Le Corre

Published in: Pest management science (2019)

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.

Keyphrases

high throughput
circulating tumor
risk assessment
single molecule
single cell
nucleic acid
circulating tumor cells
gene expression
machine learning
loop mediated isothermal amplification
deep learning