↓ Skip to main content

RNAi Strategies for Pest Management

Overview of attention for book
Cover of 'RNAi Strategies for Pest Management'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Genome-Wide Identification and Functional Characterization of Noncoding RNAs (ncRNAs) Differentially Expressed During Insect Development
  3. Altmetric Badge
    Chapter 2 Identification and Functional Characterization of Argonaute (Ago) Proteins in Insect Genomes
  4. Altmetric Badge
    Chapter 3 Functional Characterization of Silkworm PIWI Proteins by Embryonic RNAi
  5. Altmetric Badge
    Chapter 4 Guiding RNAi Design Through Characterization of Endogenous Small RNA Pathways.
  6. Altmetric Badge
    Chapter 5 Silencing of Molecular Targets with Relevance to Insecticide Resistance in Colorado Potato Beetle Using dsRNA
  7. Altmetric Badge
    Chapter 6 Visualization of RNA Transcripts in Western Corn Rootworm ( Diabrotica virgifera virgifera ) and Plants by In Situ Hybridization
  8. Altmetric Badge
    Chapter 7 In Silico Screening of Attractive Target Genes for RNAi-Based Pest Control
  9. Altmetric Badge
    Chapter 8 RNAi Feeding Bioassay: A Protocol for dsRNA Screening Against Asian Citrus Psyllid and Related Hemipteran Insects
  10. Altmetric Badge
    Chapter 9 A Random-Screening Approach to Identify RNAi Targets for the Control of Western Corn Rootworm ( Diabrotica. virgifera virgifera Le Conte)
  11. Altmetric Badge
    Chapter 10 Rapid Screening of Myzus persicae (Green Peach Aphid) RNAi Targets Using Tobacco Rattle Virus.
  12. Altmetric Badge
    Chapter 11 Genome-Wide Identification and Validation of Target Genes Associated with Insecticide Treatment of the Green Peach Aphid, Myzus persicae
  13. Altmetric Badge
    Chapter 12 Inhibition of Rhopalosiphum maidis (Corn Leaf Aphid) Growth on Maize by Virus-Induced Gene Silencing with Sugarcane Mosaic Virus
  14. Altmetric Badge
    Chapter 13 RT-qPCR for Detection and Expression Monitoring of Core Genes Involved in the RNA Interference Pathways of Western Corn Rootworm ( Diabrotica virgifera virgifera )
  15. Altmetric Badge
    Chapter 14 Examination of the Suitability of Attractive Target Genes for RNAi-Based Pest Control
  16. Altmetric Badge
    Chapter 15 Functional Characterization of Target Genes Associated with Insecticide Resistance of the Green Peach Aphid, Myzus persicae
  17. Altmetric Badge
    Chapter 16 Plant-Mediated RNA Interference Expressing dsRNA in Cytoplasm for RNAi-Based Pest Control
  18. Altmetric Badge
    Chapter 17 RNAi Expression in Cotton for Control of Herbivorous Insects.
  19. Altmetric Badge
    Chapter 18 Transplastomic Tomato Plants Expressing Insect-Specific Double-Stranded RNAs: A Protocol Based on Biolistic Transformation
  20. Altmetric Badge
    Chapter 19 Double-Strand RNA (dsRNA) Delivery Methods in Insects: Diaphorina citri
  21. Altmetric Badge
    Chapter 20 Delivery of Double-Stranded RNAs (dsRNAs) Produced by Escherichia coli HT115(DE3) for Nontransgenic RNAi-Based Insect Pest Management.
  22. Altmetric Badge
    Chapter 21 Symbiont-Mediated RNA Interference (SMR): Using Symbiotic Bacteria as Vectors for Delivering RNAi to Insects
  23. Altmetric Badge
    Chapter 22 Application of Nanoparticle-Mediated RNAi for Efficient Gene Silencing and Pest Control on Soybean Aphids
  24. Altmetric Badge
    Chapter 23 Methods for Delivery of dsRNAs for Agricultural Pest Control: The Case of Lepidopteran Pests
  25. Altmetric Badge
    Chapter 24 CRISPR/Cas9-Mediated Genome Editing System in Insect Genomics and Pest Management
Attention for Chapter 17: RNAi Expression in Cotton for Control of Herbivorous Insects
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
RNAi Expression in Cotton for Control of Herbivorous Insects
Chapter number 17
Book title
RNAi Strategies for Pest Management
DOI 10.1007/978-1-0716-1633-8_17
Pubmed ID
Book ISBNs
978-1-07-161632-1, 978-1-07-161633-8
Authors

Ricardo Salvador, Laura Maskin, José Niz, Mariana Turica, Analía Pedarros, Esteban Hopp, Dalia Lewi

Abstract

Cultivated cotton (Gossypium hirsutum) is heavily attacked by various species of insects worldwide and breeding of new varieties resistant to pests is still a hard battle to win. RNAi technology is an important reverse genetics tool to induce gene silencing in eukaryotic organisms and produce phenotypic modifications. In cotton, RNAi was applied to investigate gene function and enhance resistance to insects and pathogens. Different methods and techniques can be used to synthetize double stranded RNA (dsRNA) into plant cells. The Agrobacterium-mediated transformation is a common method to introduce RNAi binary plasmids into cotton genome and obtain stable transgenics plants. This methodology includes the coculture of cotton tissues with Agrobacterium cultures, selection of transgenic cells and induction of somatic embryogenesis to finally obtain transgenic plants after a relatively long period of time. The transient synthesis of dsRNA mediated by virus-induced gene silencing (VIGS) in cotton is an alternative to anticipate the silencing effect of a specific RNA sequence, prior to the development of a stable transgenic plant. VIGS vectors are incorporated into the plant by agroinfiltration technique. During VIGS replication inside plant cells, synthetized dsRNA allows the study on specific heterologous gene expression including the phenotypic effect on herbivorous target pests, thus facilitating a rapid evaluation of dsRNA expressed in cotton plants against individual insect target genes. Here we describe the complementation of these two techniques to evaluate RNAi-based cotton plant protection against insect pests.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 60%
Other 1 20%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Agricultural and Biological Sciences 2 40%
Unknown 1 20%