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Bioinformatics analysis and function prediction of NBS-LRR gene family in Broussonetia papyrifera | |
Zhang, Xiaokang1; Wang, Fengfeng; Yang, Nianhui; Chen, Naizhi; Hu, Yanmin; Peng, Xianjun; Shen, Shihua | |
2023 | |
发表期刊 | BIOTECHNOLOGY LETTERS |
ISSN | 0141-5492 |
卷号 | 45期号:1页码:13-31 |
摘要 | Most of the currently available disease resistance (R) genes have NBS (nucleotide-binding site) and LRR (leucine-rich-repeat) domain which belongs to the NBS-LRR gene family. The whole genome sequencing of Broussonetia papyrifera provides an important bioinformatics database for the study of the NBS-LRR gene family. In this study, 328 NBS-LRR family genes were identified and classified in B. papyrifera according to different classification schemes, where there are 92 N types, 47 CN type, 54 CNL type, 29 NL types, 55 TN type, and 51 TNL type. Subsequently, we conducted bioinformatics analysis of the NBS-LRR gene family. Classification, motif analysis of protein sequences, and phylogenetic tree studies of the NBS-LRR genes in B. papyrifera provide important basis for the functional study of NBS-LRR family genes. Additionally, we performed structural analysis of the chromosomal location, physicochemical properties, and sequences identified by genetic characterization. In addition, through the analysis of GO enrichment, it was found that NBS-LRR genes were involved in defense responses and were significantly enriched in biological stimulation, immune response, and abiotic stress. In addition, we found that Bp06g0955 was the most sensitive to low temperature and encoded the RPM1 protein by analyzing the low temperature transcriptome data of B. papyrifera. Quantitative results of gene expression after 48 h of Fusarium infection showed that Bp01g3293 increased 14 times after infection, which encodes RPM1 protein. The potential of NBS-LRR gene responsive to biotic and abiotic stresses can be exploited to improve the resistance of B. papyrifera. |
关键词 | Broussonetia papyrifera NBS-LRR genes Cis-acting elements Abiotic stress DEGs |
学科领域 | Biotechnology & Applied Microbiology |
DOI | 10.1007/s10529-022-03318-y |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | GENOME-WIDE IDENTIFICATION ; RICH REPEAT CLASS ; NUCLEOTIDE-BINDING ; RESISTANCE GENES ; PROTEIN ; ARABIDOPSIS ; EVOLUTION ; BLAST ; RECOGNITION ; GENERATION |
WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
WOS记录号 | WOS:000881721800001 |
出版者 | SPRINGER |
文献子类 | Review |
出版地 | DORDRECHT |
EISSN | 1573-6776 |
资助机构 | National Key Research and Development Program of China [2021YFD1000100] ; Beijing Natural Science Foundation [6202026, 32070358] |
作者邮箱 | zhangxiaokang@ibcas.ac.cn ; wangfenfen@ibcas.ac.cn ; ynhrdfz@163.com ; chennaizhi@ibcas.ac.cn ; huyanmin@ibcas.ac.cn ; pengxianjun@ibcas.ac.cn ; shshen@ibcas.ac.cn |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/29075 |
专题 | 中科院北方资源植物重点实验室 |
作者单位 | 1.Chinese Acad Sci, Inst Bot, Key Lab Plant Resources, Beijing 100093, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Xiaokang,Wang, Fengfeng,Yang, Nianhui,et al. Bioinformatics analysis and function prediction of NBS-LRR gene family in Broussonetia papyrifera[J]. BIOTECHNOLOGY LETTERS,2023,45(1):13-31. |
APA | Zhang, Xiaokang.,Wang, Fengfeng.,Yang, Nianhui.,Chen, Naizhi.,Hu, Yanmin.,...&Shen, Shihua.(2023).Bioinformatics analysis and function prediction of NBS-LRR gene family in Broussonetia papyrifera.BIOTECHNOLOGY LETTERS,45(1),13-31. |
MLA | Zhang, Xiaokang,et al."Bioinformatics analysis and function prediction of NBS-LRR gene family in Broussonetia papyrifera".BIOTECHNOLOGY LETTERS 45.1(2023):13-31. |
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Zhang-2023-Bioinform(9577KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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