De novo profiling of insect-resistant proteins of rice via nanopore peptide differentiation
文献类型：期刊论文
| 作者 | Xiao, Yicen1,2; Ren, Juansheng3,4; Wang, Yunjiao1,2 ; Chen, Xiaohan1,2; Zhou, Shuo1,2; Li, Minghan1,2; Gao, Fangyuan3,4; Liang, Liyuan1,2; Wang, Deqiang1,2; Ren, Guangjun3,4
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| 刊名 | BIOSENSORS & BIOELECTRONICS
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| 出版日期 | 2022-09-15 |
| 卷号 | 212页码:7 |
| ISSN号 | 0956-5663 |
| 关键词 | Nanopore Peptidome Insect-resistance gene Oryza sativa Bioinformatics |
| DOI | 10.1016/j.bios.2022.114415 |
| 通讯作者 | Ren, Guangjun(guangjun61@sina.com) ; Wang, Liang(wangliang83@cigit.ac.cn) |
| 英文摘要 | Nanopore is used as a single-molecule detector for proteins, peptides and amino acids identification of biomedical importance. We, on the first try, extended its profiling application for peptidome encoded by the insect-resistance gene in rice. Taking brown planthopper (Bph) for example, we previously cloned and verified Bph32 gene, which encodes SCR ("Bph32") protein as direct executor against this injurious insect. However, the homology protein expressed in susceptible line doesn't have this antibiosis resistance. Hence, profiling the structural modulars (peptide domains) of Bph32 proteins may provide essential basis to understand rice in response to insects. Herein, we combined approaches of bioinformatics, biochemistry and nanopore analysis to profile the rice peptides with diverse properties. Bph32 proteins were theoretically modeled into 24 functional peptide domains using Swiss-Model workspace. Next, 22 water-soluble peptides were identified by biuretchemistry amplified nanopore current modulations. Among those, 16 ones were distinguished at one amino acid resolution via reading the current modulation spectrum, consequently providing the peptidome fingerprints. In addition, the current modulations were evidenced as quadratic function of peptide's molecular masses. These findings suggest that nanopore may work as a new generation of mass detector for more omics analysis, especially in agricultural field where demands strongly. |
| 资助项目 | National Natural Science Foundation of China, China[31800711] ; Chongqing Talents: Exceptional Young Talents Project[CQYC201905007] ; Chongqing Talents: Exceptional Young Talents Project[cstc2021ycjh-bgzxm0016] ; Excellent Youth Foundation of Chongqing Scientific Committee, China[cstc2021jcyj-jq0030] ; Accurate Identification Project of Crop Germplasm from Sichuan Provincial Finance Department, China ; Pioneer Hundred Talents Program ; Youth Innovation Promotion Association ; West Light Foundation ; Chinese Academy of Sciences ; University of Chinese Academy of Sciences |
| WOS研究方向 | Biophysics ; Biotechnology & Applied Microbiology ; Chemistry ; Electrochemistry ; Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | ELSEVIER ADVANCED TECHNOLOGY |
| WOS记录号 | WOS:000806013300005 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/15955]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Ren, Guangjun; Wang, Liang |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 2.Univ Chinese Acad Sci, Chongqing Sch, Chongqing 400714, Peoples R China 3.Sichuan Acad Agr Sci, Crop Res Inst, Chengdu 610066, Peoples R China 4.Environm Friendly Crop Germplasm Innovat & Genet, Chengdu 610066, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xiao, Yicen,Ren, Juansheng,Wang, Yunjiao,et al. De novo profiling of insect-resistant proteins of rice via nanopore peptide differentiation[J]. BIOSENSORS & BIOELECTRONICS,2022,212:7. |
| APA | Xiao, Yicen.,Ren, Juansheng.,Wang, Yunjiao.,Chen, Xiaohan.,Zhou, Shuo.,...&Wang, Liang.(2022).De novo profiling of insect-resistant proteins of rice via nanopore peptide differentiation.BIOSENSORS & BIOELECTRONICS,212,7. |
| MLA | Xiao, Yicen,et al."De novo profiling of insect-resistant proteins of rice via nanopore peptide differentiation".BIOSENSORS & BIOELECTRONICS 212(2022):7. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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