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代谢分析表明基因转化不影响水稻对水稻矮缩病毒的敏感性。

Metabolic Analysis Reveals Gene Transformation Does Not Affect the Sensitivity of Rice to Rice Dwarf Virus.

作者信息

Chang Xuefei, Ning Duo, Mao Lijuan, Wang Beibei, Fang Qi, Yao Hongwei, Wang Fang, Ye Gongyin

机构信息

State Key Laboratory of Rice Biology & Ministry of Agriculture and Rural Affairs Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.

Analysis Center of Agrobiology and Environmental Sciences, Zhejiang University, Hangzhou 310058, China.

出版信息

Metabolites. 2021 Mar 30;11(4):209. doi: 10.3390/metabo11040209.

DOI:10.3390/metabo11040209
PMID:33808359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8065979/
Abstract

Metabolomics is beginning to be used for assessing unintended changes in genetically modified (GM) crops. To investigate whether gene transformation would induce metabolic changes in rice plants, and whether the metabolic changes would pose potential risks when rice plants are exposed to rice dwarf virus (RDV), the metabolic profiles of rice T1C-19 and its non- parental rice MH63 under RDV-free and RDV-infected status were analyzed using gas chromatography-mass spectrometry (GC-MS). Compared to MH63 rice, slice difference was detected in T1C-19 under RDV-free conditions (less than 3%), while much more metabolites showed significant response to RDV infection in T1C-19 (15.6%) and in MH63 (5.0%). Pathway analysis showed biosynthesis of lysine, valine, leucine, and isoleucine may be affected by RDV infection in T1C-19. No significant difference in the contents of free amino acids (AAs) was found between T1C-19 and MH63 rice, and the free AA contents of the two rice plants showed similar responses to RDV infection. Furthermore, no significant differences of the RDV infection rates between T1C-19 and MH63 were detected. Our results showed the gene transformation did not affect the sensitivity of rice to RDV, indicating rice would not aggravate the epidemic and dispersal of RDV.

摘要

代谢组学正开始用于评估转基因作物中的非预期变化。为了研究基因转化是否会诱导水稻植株发生代谢变化,以及当水稻植株感染水稻矮缩病毒(RDV)时这些代谢变化是否会带来潜在风险,利用气相色谱 - 质谱联用仪(GC - MS)分析了水稻T1C - 19及其非亲本水稻MH63在未感染RDV和感染RDV状态下的代谢谱。与MH63水稻相比,在未感染RDV的条件下,T1C - 19中检测到代谢差异(小于3%),而在T1C - 19中更多的代谢物对RDV感染表现出显著响应(15.6%),在MH63中为5.0%。通路分析表明,赖氨酸、缬氨酸、亮氨酸和异亮氨酸的生物合成可能在T1C - 19中受到RDV感染的影响。在T1C - 19和MH63水稻之间未发现游离氨基酸(AA)含量的显著差异,并且两种水稻植株的游离AA含量对RDV感染表现出相似的响应。此外,未检测到T1C - 19和MH63之间RDV感染率的显著差异。我们的结果表明基因转化并未影响水稻对RDV的敏感性,这表明水稻不会加剧RDV的流行和传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/6ef02ec92336/metabolites-11-00209-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/24bf8236b58d/metabolites-11-00209-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/62ca517a2031/metabolites-11-00209-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/edee286e1502/metabolites-11-00209-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/041d60029137/metabolites-11-00209-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/6ef02ec92336/metabolites-11-00209-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/24bf8236b58d/metabolites-11-00209-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/62ca517a2031/metabolites-11-00209-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/edee286e1502/metabolites-11-00209-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/041d60029137/metabolites-11-00209-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c4e/8065979/6ef02ec92336/metabolites-11-00209-g005.jpg

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