IN SILICO DESIGN OPTIMIZATION OF CHIMERIC DSRNA FOR INCREASE IN RNAI EFFICIENCY

Paulo Henrique Martins Netto; Prof. Dr. Henrique Marques Barbosa de Souza

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Trabalho

Título do Trabalho

IN SILICO DESIGN OPTIMIZATION OF CHIMERIC DSRNA FOR INCREASE IN RNAI EFFICIENCY

Autores

Paulo Henrique Martins Netto
Prof. Dr. Henrique Marques Barbosa de Souza

Modalidade

Apresentação de Pôster

Área temática

Genética Animal e Evolução

Data de Publicação

09/06/2023

País da Publicação

Brasil

Idioma da Publicação

Inglês

Página do Trabalho

https://www.even3.com.br/anais/v-gbmeeting/609786-in-silico-design-optimization-of-chimeric-dsrna-for-increase-in-rnai-efficiency

ISBN

978-85-5722-785-9

Palavras-Chave

RNAi, dsRNA, siRNA, chimeric, pest control

Resumo

Title: In silico design optimization of chimeric dsRNA for increase in RNAi efficiency Authors: NETTO, P. H. M.¹; MARQUES-SOUZA, H.¹ Institution: ¹ Brazilian Laboratory on Silencing Technologies (BLaST), Department of Biochemistry and Tissue Biology, Institute of Biology, State University of Campinas, Campinas, SP, 13083-970, Brazil Introduction The phenomenon of interference RNA (RNAi) has received increasing scientific and economical interest since it is an effective strategy for pest control in different cultures. RNAi is a gene regulation process conserved in many eukaryotes, where RNA molecules inhibit the expression or translation of genes and small non-coding RNAs by degrading target mRNA. Gene silencing by RNAi was produced in different orders of Arthropoda with varying degrees of success. Although much attention has been given to the identification, sequencing and characterization of promising target genes, in terms of observed lethality in RNAi, not as much energy was devoted to the study of the effects of silencing multiple genes simultaneously, or to the possibilities regarding silencing multiple genes in the same molecule. From controlling different pest species using the same molecule (Wang et al., 2021) to increasing the RNAi efficiency in the same species by silencing two genes simultaneously (Maximo et al., 2020), the field of combinatorial RNAi seems to hold some of the answers needed to consolidate the RNAi as a solid pest control technique. Thus, our present work is a step towards maximizing the number of target genes that can be included in a single molecule, by developing an in silico optimization system that increases the number of functional siRNAs resultant from dsRNA cleavage by Dicer, without increasing the length of the dsRNA molecule. This way, we hope to contribute to the field by providing a tool capable of improving the RNAi performance while maintaining the most economical approach possible regarding the synthesis of eventual RNAi products. Objectives To develop a bioinformatic tool capable of combining different target sequences in the same dsRNA molecule to increase RNAi efficiency without increasing dsRNA size or producing unspecific siRNAs. Hipothesis The in silico optimization of the dsRNA molecule design will increase the RNAi efficiency, by increasing the functional siRNA pool resultant from Dicer cleavage of dsRNA. Methods Development of a computer program capable of processing nucleotide sequences of different target genes and returning an dsRNA molecule sequence combining all target sequences, maximizing the functional siRNA pool generated by the Dicer cleavage of the molecule. RNAi assays comparing the intensity of RNAi produced from non optimized and optimized dsRNA molecules, using C. elegans as a model organism. References Máximo, Wesley PF, et al. "Inhibitor of apoptosis is an effective target gene for RNAi-mediated control of Colorado potato beetle, Leptinotarsa decemlineata." Archives of insect biochemistry and physiology 104.4 (2020): e21685. Wang, Kangxu, et al. "Chimeric Double-Stranded RNAs Could Act as Tailor-Made Pesticides for Controlling Storage Insects." Journal of Agricultural and Food Chemistry 69.22 (2021): 6166-6171. Note: The present work was carried out with the support of the Coordination for the Improvement of Higher Education Personnel – Brazil (CAPES).

Título do Evento: V GBMeeting
Cidade do Evento: Campinas
Título dos Anais do Evento: Anais do GBMeeting: Encontro Anual da Pós Graduação em Genética e Biologia Molecular da UNICAMP
Nome da Editora: Even3
Meio de Divulgação: Meio Digital
DOI: Obter o DOI

Como citar

NETTO, Paulo Henrique Martins; SOUZA, Prof. Dr. Henrique Marques Barbosa de. IN SILICO DESIGN OPTIMIZATION OF CHIMERIC DSRNA FOR INCREASE IN RNAI EFFICIENCY.. In: Anais do GBMeeting: Encontro Anual da Pós Graduação em Genética e Biologia Molecular da UNICAMP. Anais...Campinas(SP) Unicamp, 2023. Disponível em: https//www.even3.com.br/anais/v-gbmeeting/609786-IN-SILICO-DESIGN-OPTIMIZATION-OF-CHIMERIC-DSRNA-FOR-INCREASE-IN-RNAI-EFFICIENCY. Acesso em: 27/07/2024