In silico analysis reveal high variability in RNAi machinery of five different insect orders.

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Author(s): ARRAES, F. B. M.; ROCHA, S.; SÁ, D. M. de; FAHEEM, M.; MELO, B. P.; MORGANTE, C. V.; SOUZA JUNIOR, D.; NORIEGA, D.; SA, M. F. G. de; DANCHIN, E. G.

Summary: The present study contributes to elucidate obscure points of the RNAi-based gene silencing in insects and assists in the development of biotechnological tools for insect pests control.

Publication year: 2018

Observation

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