Genome-wide identification and analysis of genes associated with RNA interference in Bemisia tabaci

Lixia Tian, Yang Zeng, Wen Xie, Qingjun Wu, Shaoli Wang, Xuguo Zhou, Youjun Zhang

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Background: As a method of RNA-mediated gene silencing, RNA interference (RNAi) is a useful reverse genetic tool with which to study gene function, and holds great promise for pest management. Bemisia tabaci is a cosmopolitan pest that causes extensive damage to crops. The mechanism underlying RNAi efficiency in B. tabaci is not well known. We identified and analyzed candidate genes in the RNAi pathway to understand the RNAi mechanism and provide a basis for the application of RNAi in pest management. Results: We identified 33 genes putatively involved in the RNAi pathway from the B. tabaci Q genome. Phylogenetic and structural analyses confirmed the characteristics of these genes. Furthermore, quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) and transcriptomic analysis profiled gene expression patterns during different developmental stages. Gene expression levels estimated by qRT-PCR and RNA-seq analyses were significantly correlated. Moreover, gene functions were verified by RNAi. When accompanied by knockdown of AGO2, Dicer2 and Sid1, the efficiency of CYP6DB3 RNAi decreased correspondingly. Conclusion: In this study, we annotated and validated genes involved in B. tabaci RNAi. A better understanding of the building blocks of the RNAi process in B. tabaci facilitates integration of this novel biotechnology into the management of this emerging pest, either directly or indirectly.

Original languageEnglish
Pages (from-to)3005-3014
Number of pages10
JournalPest Management Science
Issue number11
StatePublished - Nov 1 2019

Bibliographical note

Publisher Copyright:
© 2019 Society of Chemical Industry


  • Bemisia tabaci
  • RNAi pathway
  • annotation
  • functional analysis

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Insect Science


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