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Details

Autor(en) / Beteiligte
Titel
Optimization of double‐stranded RNAi intrathoracic injection method in Aedes aegypti
Ist Teil von
  • Entomological Research, 2018, 48(4), , pp.269-278
Ort / Verlag
Korea (South): Wiley Subscription Services, Inc
Erscheinungsjahr
2018
Quelle
Wiley Online Library All Journals
Beschreibungen/Notizen
  • RNA interference is widely used to analyze gene functions via phenotypic knockdown of target transcripts in mosquitoes, which transmit numerous mosquito‐borne diseases. Functional analysis of mosquito genes is indispensable to understand and reduce transmission of mosquito‐borne diseases in mosquitoes. Intrathoracic injection of double‐stranded RNA (dsRNA) remains the simplest and most customizable method in mosquitoes for functional analysis of the genes of interest. However, achieving consistent and effective knockdown by dsRNAi is often elusive and may require extensive optimization. We tested the effectiveness of gene silencing by intrathoracic injection of four different quantities of dsRNA targeting two Aedes aegypti genes, cysteine desulfurylase (Nfs1) and short‐chain dehydrogenase (SDH). We found that Nfs1 gene has a lower expression level upon silencing than SDH gene. In the case of the gene that is easier to silence, Nfs1 gene expression was significantly silenced by all four tested quantities of dsRNA up to 21 days post infection (d.p.i.), but silencing of SDH, the gene that is difficult to silence, was less effective, with knockdown lasting up to 9 d.p.i. only when 1,000 ng of dsRNA was used. Based on our observation, intrathoracic injection of 500 ng of dsRNAs per mosquito is recommended to achieve effective knockdown for well‐silenced transcripts such as Nfs1 for up to 3 weeks. This includes most in vivo bioassays involving arboviral infections in Ae. aegypti. The estimated quantities of dsRNA described in this study should be applicable to most Ae. aegypti dsRNAi studies and thus provide a guideline to develop efficient dsRNAi in other experimental investigations.
Sprache
Englisch
Identifikatoren
ISSN: 1738-2297, 1748-5967
eISSN: 1748-5967
DOI: 10.1111/1748-5967.12300
Titel-ID: cdi_nrf_kci_oai_kci_go_kr_ARTI_4829933

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