Negligible transcriptome and metabolome alterations in RNAi insecticidal maize against Monolepta hieroglyphica

  • PDF / 1,842,904 Bytes
  • 9 Pages / 595.276 x 790.866 pts Page_size
  • 94 Downloads / 162 Views

DOWNLOAD

REPORT


ORIGINAL ARTICLE

Negligible transcriptome and metabolome alterations in RNAi insecticidal maize against Monolepta hieroglyphica Xiaolei Zhang1 · Ruiying Zhang1 · Liang Li2 · Yang Yang1 · Yijia Ding1 · Haitao Guan1 · Xiaoqin Wang1 · Aihong Zhang3 · Hongtao Wen1  Received: 7 July 2020 / Accepted: 17 August 2020 © The Author(s) 2020

Abstract 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. Abstract  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. Keywords  Transcriptome · Metabolome · RNAi insecticidal maize · Monolepta hieroglyphica (motschulsky) · Unintended effect

Introduction

Communicated by Günther Hahne. Electronic supplementary material  The online version of this article (https​://doi.org/10.1007/s0029​9-020-02582​-4) contains supplementary material, which is available to authorized users. * Hongtao Wen [email protected] 1



Quality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China

2



Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China

3

Beijing DaBeiNong Biotechnology Co., Ltd., Beijing 100080, China



As one of the major maize producers in the world, China has made outstanding contributions to global grain production. In 2018, the agricultural land dedicated to Chinese maize production increased to 42.13 million hectares. The total yield of maize was 257.17 million tons and accounted for 22.9% of global production (China Statistical Yearbook 2019). The rapid increase of Chinese maize production has promoted the