No obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysis

ABSTRACTUnintended effects of gene edit crops may pose safety issues. Omics is a useful tool for researchers to evaluate these unexpected effects. Transcriptome and proteomics analyses were performed for two gene editors, CRISPR-Cas9 and adenine base editor (ABE) gene edit rice, as well as correspon...

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Main Authors: Liu Xiao-Jing, Xing Bao, Wang Meng-Yu, Li Xiao-Man, Wang Xu-Jing, Wang Zhi-Xing
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:GM Crops & Food
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/21645698.2023.2229927
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author Liu Xiao-Jing
Xing Bao
Wang Meng-Yu
Li Xiao-Man
Wang Xu-Jing
Wang Zhi-Xing
author_facet Liu Xiao-Jing
Xing Bao
Wang Meng-Yu
Li Xiao-Man
Wang Xu-Jing
Wang Zhi-Xing
author_sort Liu Xiao-Jing
collection DOAJ
description ABSTRACTUnintended effects of gene edit crops may pose safety issues. Omics is a useful tool for researchers to evaluate these unexpected effects. Transcriptome and proteomics analyses were performed for two gene editors, CRISPR-Cas9 and adenine base editor (ABE) gene edit rice, as well as corresponding wild-type plants (Nipponbare). Transcriptome revealed 520 and 566 rice differentially expressed genes (DEGs) in the Cas9/Nip and ABE/Nip comparisons, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most DEGs participated in metabolism of terpenoids and polyketones, plant–pathogen interactions, and plant signal transduction. It mainly belongs to environmental adaptation. Proteomics revealed 298 and 54 rice differentially expressed proteins (DEPs) in the Cas9/Nip and ABE/Nip comparisons, respectively. KEGG pathway enrichment analysis showed that most DEPs participated in the biosynthesis of secondary metabolite and metabolic pathways.According to integrated transcriptomes and proteomics analysis, the results showed that no newly generated genes were identified as new transcripts of these differentially expressed genes, and gene edit tools had little effect on rice transcription levels and no new proteins were generated in the gene-edited rice.
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spelling doaj.art-0184249f422a47c8a005beac07ee2a432023-12-25T13:28:18ZengTaylor & Francis GroupGM Crops & Food2164-56982164-57012023-12-0114111610.1080/21645698.2023.2229927No obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysisLiu Xiao-Jing0Xing Bao1Wang Meng-Yu2Li Xiao-Man3Wang Xu-Jing4Wang Zhi-Xing5Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, MARA Key Laboratory on Safety Assessment (Molecular) of Agri-GMO, Beijing, ChinaBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, MARA Key Laboratory on Safety Assessment (Molecular) of Agri-GMO, Beijing, ChinaBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, MARA Key Laboratory on Safety Assessment (Molecular) of Agri-GMO, Beijing, ChinaBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, MARA Key Laboratory on Safety Assessment (Molecular) of Agri-GMO, Beijing, ChinaBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, MARA Key Laboratory on Safety Assessment (Molecular) of Agri-GMO, Beijing, ChinaBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, MARA Key Laboratory on Safety Assessment (Molecular) of Agri-GMO, Beijing, ChinaABSTRACTUnintended effects of gene edit crops may pose safety issues. Omics is a useful tool for researchers to evaluate these unexpected effects. Transcriptome and proteomics analyses were performed for two gene editors, CRISPR-Cas9 and adenine base editor (ABE) gene edit rice, as well as corresponding wild-type plants (Nipponbare). Transcriptome revealed 520 and 566 rice differentially expressed genes (DEGs) in the Cas9/Nip and ABE/Nip comparisons, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most DEGs participated in metabolism of terpenoids and polyketones, plant–pathogen interactions, and plant signal transduction. It mainly belongs to environmental adaptation. Proteomics revealed 298 and 54 rice differentially expressed proteins (DEPs) in the Cas9/Nip and ABE/Nip comparisons, respectively. KEGG pathway enrichment analysis showed that most DEPs participated in the biosynthesis of secondary metabolite and metabolic pathways.According to integrated transcriptomes and proteomics analysis, the results showed that no newly generated genes were identified as new transcripts of these differentially expressed genes, and gene edit tools had little effect on rice transcription levels and no new proteins were generated in the gene-edited rice.https://www.tandfonline.com/doi/10.1080/21645698.2023.2229927Gene editproteometranscriptomeunintended effects
spellingShingle Liu Xiao-Jing
Xing Bao
Wang Meng-Yu
Li Xiao-Man
Wang Xu-Jing
Wang Zhi-Xing
No obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysis
GM Crops & Food
Gene edit
proteome
transcriptome
unintended effects
title No obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysis
title_full No obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysis
title_fullStr No obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysis
title_full_unstemmed No obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysis
title_short No obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysis
title_sort no obvious unintended effects was found in gene editing rice through transcriptional and proteomic analysis
topic Gene edit
proteome
transcriptome
unintended effects
url https://www.tandfonline.com/doi/10.1080/21645698.2023.2229927
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