Negligible transcriptome and metabolome alterations in RNAi insecticidal maize against Monolepta hieroglyphica
Key message RNAi-based genetically modified maize resistant to Monolepta hieroglyphica (Motschulsky) was demonstrated with negligible transcriptome and metabolome alterations compared to its unmodified equivalent. As one of the most prevalent insect pests afflicting various crops, Monolepta hierogly...
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Veröffentlicht in: | Plant cell reports 2020-11, Vol.39 (11), p.1539-1547 |
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Sprache: | eng |
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RNAi-based genetically modified maize resistant to Monolepta hieroglyphica (Motschulsky) was demonstrated with negligible transcriptome and metabolome alterations compared to its unmodified equivalent.
As one of the most prevalent insect pests afflicting various crops,
Monolepta hieroglyphica
(Motschulsky) causes severe loss of agricultural and economic productivity for many years in China. In an effort to reduce damages, in this study, an RNA interference (RNAi)-based genetically modified (GM) maize was developed. It was engineered to produce
MhSnf7
double-stranded RNAs (dsRNAs), which can suppress the
Snf7
gene expression and then lead
M. hieroglyphica
to death
.
Field trail analysis confirmed the robustly insecticidal ability of the
MhSnf7
GM maize to resist damages by
M. hieroglyphica
. RNA sequencing analysis identified that only one gene was differentially expressed in the
MhSnf7
GM maize compared to non-GM maize, indicating that the transcriptome in
MhSnf7
GM maize is principally unaffected by the introduction of the
MhSnf7
dsRNA expression vector. Likewise, metabolomics analysis identified that only 8 out of 5787 metabolites were significantly changed. Hence, the integration of transcriptomics and metabolomics demonstrates that there are negligible differences between
MhSnf7
GM maize and its unmodified equivalent. This study not only presents a comprehensive assessment of cellular alteration in terms of gene transcription and metabolite abundance in RNAi-based GM maize, but also could be used as a reference for evaluating the unintended effect of GM crops. |
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ISSN: | 0721-7714 1432-203X |
DOI: | 10.1007/s00299-020-02582-4 |