教授 博士生导师 硕士生导师
性别: 男
毕业院校: 东北师范大学
学位: 博士
所在单位: 生物工程学院
学科: 生物化学与分子生物学. 生物化工. 生物工程与技术
办公地点: 生物工程学院401室
联系方式: 13624087256
电子邮箱: luanyush@dlut.edu.cn
开通时间:..
最后更新时间:..
长期从事植物分子生物学、基因工程领域的研究工作,在植物非编码RNA、转录因子的发现及功能鉴定方面独树一帜,尤其是以番茄与致病疫霉为试材进行的植物与微生物分子互作研究,结合大量的生物信息学预测、分析以及先进的分子生物学实验技术,取得了众多突破性的成果。陆续得到7项国家自然科学基金(重点及面上)项目的支持,目前正在开展的工作有“番茄抗晚疫病关键调控因子的协同免疫机制研究(执行期2023.01-2027.12)”“番茄抗病相关的miPEPs挖掘及功能研究(执行期2021.01-2024.12)”“lncRNA与miRNA协同调控番茄晚疫病的分子机制研究(执行期2019.01-2022.12)”;发表SCI收录论文99篇,累计有7篇被归入其学术领域中最优秀的1%之列(ESI高被引论文)。
任教三十余年,讲授过“普通生物学”“生命科学概论”“细胞生物学”“生物统计学”“植物保护学”“作物遗传育种学”等十余门各类课程;主持过多项本科生及研究生的教改项目;多次获得教学质量优良奖。
近年来指导的博士、硕士研究生有5人、6次获得国家奖学金,有2人获得学业奖学金,有12人次被评为优秀研究生,有1人获得辽宁省优秀硕士学位论文,有6人获得开云平台首页 优秀硕士学位论文;指导的本科生在进行大学生创新项目期间,多数人经过系统的训练有论文成果发表,有 1 项成果获得辽宁省生命科学创新创业大赛一等奖,先后有2人被保送到清华大学继续深造。目前正在指导7名博士生、6名硕士生。
欢迎有志于从事相关研究的人员加盟(读研有风险,报名需谨慎)!
近年来发表的主要文章如下:
1.Hong Yuhui, Zhang Yuanyuan, Cui Jun, Meng Jun, Chen Yinhua, Zhang Chengwei, Yang Jinxiao* and Luan Yushi*. The lncRNA39896–miR166b–HDZs module affects tomato resistance to Phytophthora infestans. Journal of Integrative Plant Biology, 2022,https://doi.org/10.1111/jipb.13339.(SCI IF 9.106, JCR Q1,TOP期刊).
2.Liu Weiwei, Cui Jun, Luan Yushi*. MiR482e-5p regulates tomato resistance to Phytophthora infestans infection along with miR482e-3p via lncRNA39298-mediated inhibition. Physiological and Molecular Plant Pathology, Available online 31 July 2022, 101875. (SCI IF 2.741, JCR Q2).
3.Su Chenglin, Cui Jun, Liu Yarong, Luan Yushi*. Genome-wide identification and characterization of the tomato F-box associated (FBA) protein family and expression analysis of their responsiveness to Phytophthora infestans. Gene, 2022, 821: 146335. (SCI IF 3.913, JCR Q2).
4.Kang Qiang, Meng Jun*, Luan Yushi*. RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA–RNA interaction. Briefings in Bioinformatics. 2022, 23(3): 1-10. (SCI IF 13.994, JCR Q1).
5.Jia Lijuan, Luan Yushi*. Multi-feature Fusion Method Based on Linear Neighborhood Propagation Predict Plant LncRNA–Protein Interactions. Interdisciplinary Sciences: Computational Life Sciences. 2022, 14(2): 545-554. (SCI IF 3.492, JCR Q2).
6.Liu Weiwei, Cui Jun, Luan Yushi*. Overexpression of lncRNA08489 enhances tomato immunity against Phytophthora infestans by decoying miR482e-3p. Biochemical and Biophysical Research Communications. 2022, 587(1): 36-41. (SCI IF 3.322, JCR Q3)
7.Kang Qiang, Meng Jun*, Su Chenglin, Luan Yushi*. Mining plant endogenous target mimics from miRNA–lncRNA interactions based on dual-path parallel ensemble pruning method. Briefings in Bioinformatics. 2022, 23(1): 1-11. (SCI IF 13.994, JCR Q1).
8.Zhao Siyuan, Meng Jun*, Luan Yushi. LncRNA-Encoded Short Peptides Identification Using Feature Subset Recombination and Ensemble Learning. Interdisciplinary Sciences: Computational Life Sciences. 2022, 14, 101-112. (SCI IF 3.492, JCR Q2).
9.Hong Yuhui#, Liu Yarong#, Zhang Yuanyuan#, Jia Lijuan, Yang Xi, Zhang Xiaoyi, Liu Jiaxin, Luan Yushi*. Genome-wide characterization of homeobox-leucine zipper gene family in tomato (Solanum lycopersicum) and functional analysis of SlHDZ34 (III sub-family member) under salinity stress. Environmental and Experimental Botany, 2021, 192: 104652. (SCI IF 6.028, JCR Q1).
10.Wang Zhicheng, Luan Yushi*, Zhou Xiaoxu, Cui Jun, Luan Feishi, Meng Jun*. Optimized combination methods for exploring and verifying disease-resistant transcription factors in melon. Briefings in Bioinformatics. 2021, 22(4): 1-10. (SCI IF 13.994, JCR Q1).
11.Zhao Siyuan, Meng Jun*, Kang Qiang, Luan Yushi*. Identifying lncRNA-encoded Short Peptides Using Optimized Hybrid Features and Ensemble Learning. IEEE-Acm Transactions on Computational Biology and Bioinformatics, 12 Aug 2021. https://ieeexplore.ieee.org/document/9512408. (SCI IF 3.702, JCR Q2).
12.Zhang Yuanyuan#, Hong Yuhui#, Liu Yarong, Cui Jun, Luan Yushi*. Function identifcation of miR394 in tomato resistance to Phytophthora infestans. Plant Cell Reports. 2021, 40(10): 1831-1844. (SCI IF 4.964, JCR Q1).
13.Hong Yuhui, Meng Jun, He Xiaoli, Zhang Yuanyuan, Liu Yarong, Zhang Chengwei, Qi Hongyan*, Luan Yushi*. Editing miR482b and miR482c simultaneously by CRISPR/Cas9 enhanced tomato resistance to Phytophthora infestans. Phytopathology, 2021, 111(6): 1008-1016. (SCI IF 4.01, JCR Q1,TOP期刊).
14.Zhou Haoran, Wekesa Jael Sanyanda, Luan Yushi, Meng Jun*. PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions. BMC Bioinformatics. 2021, 22, 415.(SCI IF 3.307, JCR Q2)
15.Meng Jun, Kang Qiang, Chang Zheng, Luan Yushi*. PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles. BMC Bioinformatics. 2021, 22: 242. (SCI IF 3.307, JCR Q2).
16.Zhang Yuanyuan, Tian Junping, Cui Jun, Hong Yuhui, Luan Yushi*. Effects of different NH4+/NO3- ratios on the photosynthetic and physiology responses of blueberry (Vaccinium spp.) seedlings growth. Journal of Plant Nutrition. 2021, 44(6):854-864. (SCI IF 2.277, JCR Q2).
17.Kang Qiang, Meng Jun*, Shi Wenhao, Luan Yushi. Ensemble Deep Learning Based on Multi-level Information Enhancement and Greedy Fuzzy Decision for Plant miRNA-lncRNA Interaction Prediction. Interdisciplinary Sciences: Computational Life Sciences. 2021, 13: 603-614. (SCI IF 3.492, JCR Q2).
18.Zhou Xiaoxu, Cui Jun, Meng Jun, Luan Yushi*. Interactions and links among the noncoding RNAs in plants under stresses. Theoretical and Applied Genetics. 2020, 133(12), 3235-3248. (SCI IF 5.699, JCR Q1,TOP期刊).
19.Jiang Ning#, Cui Jun#, Hou Xinxin, Yang Guanglei, Xiao Yu, Han Lu, Meng Jun*, Luan Yushi*. Sl-lncRNA15492 interacts with Sl-miR482a and affects Solanum lycopersicum immunity against Phytophthora infestans. Plant Journal, 2020. 103(4): 1561-1574. (SCI IF 6.486, JCR Q1,TOP期刊)
20.Wekesa Jael Sanyanda, Meng Jun*, Luan Yushi. A deep learning model for plant lncRNA-protein interaction prediction with graph attention. Molecular Genetics and Genomics, 2020, 295(5): 1091-1102. (SCI IF 3.291, JCR Q3).
21.Hou Xinxin, Cui Jun, Liu Weiwei, Jiang Ning, Zhou Xiaoxu, Qi Hongyan, Meng Jun*, Luan Yushi*. LncRNA39026 enhances tomato resistance to Phytophthora infestans by decoying miR168a and inducing PR genes expression. Phytopathology, 2020, 110(4): 873-880. (SCI IF 4.025, JCR Q1,TOP期刊).
22.Kang Qiang, Meng Jun*, Cui Jun, Luan Yushi*, Chen Ming. PmliPred: a method based on hybrid model and fuzzy decision for plant miRNA-lncRNA interaction prediction. Bioinformatics, 2020, 36(10), 2986-2992. (SCI IF 6.937, JCR Q1).
23.Wekesa Jael Sanyanda, Meng Jun*, Luan Yushi. Multi-feature fusion for deep learning to predict plant lncRNA-protein interaction. Genomics, 2020, 112(5): 2028-2036. (SCI IF 5.736, JCR Q1)
24.Hong Yuhui, Meng Jun, Zhang Min, Luan Yushi*. Identification of tomato circular RNAs responsive to Phytophthora infestans. Gene, 2020, 746:144652. (SCI IF 3.688, JCR Q2).
25.Wekesa Jael Sanyanda*, Luan Yushi, Meng Jun. Predicting Protein Functions Based on Differential Co-expression and Neighborhood Analysis. Journal of Computational Biology. 2020, 27(4): 1-18. (SCI IF 1.479, JCR Q4).
26.Liu Yarong, Cui Jun, Zhou Xiaoxu, Luan Yushi*, Luan Feishi*. Genome-wide identification, characterization and expression analysis of the TLP gene family in melon (Cucumis melo L.). Genomics, 2020, 112(3): 2499-2509 (SCI IF5.736, JCR Q1).
27.Zhou Xiaoxu, Cui Jun, Cui Haonan, Jiang Ning, Hou Xinxin, Liu Shi, Gao Peng, Luan Yushi*, Meng Jun*, Luan Feishi*. Identification of lncRNAs and their regulatory relationships with target genes and corresponding miRNAs in melon response to powdery mildew fungi. Gene, 2020, 735:144403. (SCI IF 3.688, JCR Q2).
28.Zhang Peng, Meng Jun*, Luan Yushi, Liu Chanjuan. Plant miRNA-lncRNA Interaction Prediction Prediction with the Ensemble of CNN and IndRNN. Interdisciplinary Sciences: Computational Life Sciences. 2020, 12: 82-89. (SCI IF 2.233, JCR Q3).
29.Cui Jun, Jiang Ning, Hou Xinxin, Wu Sihan, Zhang Qiang, Meng Jun*, Luan Yushi*. Genome-wide Identification of LncRNAs and Analysis of CeRNA Networks during Tomato Resistance to Phytophthora infestans. Phytopathology, 2020, 110(2): 456-464. (SCI IF 4.025, JCR Q1,TOP期刊).
30.Hong Yuhui, Meng Jun, He Xiaoli, Zhang Yuanyuan, Luan Yushi*. Overexpression of MiR482c in Tomato Induces Enhanced Susceptibility to Late Blight. Cells. 2019, 8(8): 822. (SCI IF 4.366, JCR Q2).
31.Meng Jun, Chang Zheng, Zhang Peng, Shi Wenhao, Luan Yushi*. lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding. International Conference on Intelligent Computing, 2019, 11645: 347-357. (EI).
32.Zhou Haoran, Luan Yushi, WekesaJael Jael, Meng Jun*. Prediction of Plant lncRNA-Protein Interactions Using Sequence Information Based on Deep Learning. International Conference on Intelligent Computing, 2019, 11645: 358-368. (EI收录号: 20193407326656).
33.Wekesa Jael Sanyanda, Luan Yushi, Chen Ming, Meng Jun*. A Hybrid Prediction Method for Plant lncRNA-Protein Interaction. Cells. 2019, 8(6): 521. (SCI IF4.366, JCR Q2).
34.Ismalia Bouba, Kang Qiang, Luan Yushi, Meng Jun*. Predicting miRNA-lncRNA interactions and recognizing their regulatory roles in stress response of plants. Mathematical Biosciences. 2019, 312(6): 67-76. (SCI入藏号: WOS: 000469895200007, IF 1.649, JCR Q3).
35.Chen Lei, Meng Jun, He Xiaoli, Zhang Ming, Luan Yushi*. Solanum lycopersicum microRNA1916 targets multiple target genes and negatively regulates the immune response in tomato. Plant Cell and Environment. 2019, 42(4): 1393-1407. (SCI IF 6.362, JCR Q1,TOP期刊)
36.Cui Jun, Jiang Ning, Meng Jun*, Yang Guanglei, Liu Weiwei, Zhou Xiaoxu, Ma Ning, Hou Xinxin, Luan Yushi*. LncRNA33732-RESPIRATORY BURST OXIDASE module associated with WRKY1 in tomato- Phytophthora infestans interactions. Plant Journal, 2019, 97(5): 933-946. (SCI IF 6.141, JCR Q1,TOP期刊)
37.Jiang Ning, Cui Jun, Shi Yunsheng, Yang Guanglei, Zhou Xiaoxu, Hou Xinxin, Meng Jun*, Luan Yushi*, Tomato lncRNA23468 functions as a competing endogenous RNA to modulate NBS-LRR genes by decoying miR482b in the tomato-Phytophthora infestans interaction. Horticulture Research. 2019, 6 :28. (SCI IF 5.404, JCR Q1,TOP期刊).
38.Chen Lei, Meng Jun, Luan Yushi*. miR1916 plays a role as a negative regulator in drought stress resistance in tomato and tobacco. Biochemical and Biophysical Research Communications. 2019, 508(2): 597-602. (SCI IF 2.985, JCR Q3)
39.Jiang Ning, Cui Jun, Yang Guanglei, He Xiaoli, Meng Jun, Luan Yushi*, Comparative transcriptome analysis shows the defense response networks regulated by miR482b. Plant Cell Reports. 2019, 38(1):1-13. (SCI IF 3.825, JCR Q1)
40.Hong Yuhui, Cui Jun, Liu Zhen, Luan Yushi*. SpWRKY6 Acts as a Positive Regulator during Tomato Resistance to Phytophthora infestans Infection. Biochemical and Biophysical Research Communications. 2018, 506(4): 787-792. (SCI IF 2.985, JCR Q3)
41.Cui Jun#, Jiang Ning#, Zhou Xiaoxu, Hou Xinxin, Yang Guanglei, Meng Jun*, Luan Yushi*. Tomato MYB49 enhances resistance to Phytophthora infestans and tolerance to water deficit and salt stress. Planta, 2018. 248(6): 1487-1503. (SCI IF 3.06, JCR Q1).
42.Jiang Ning, Cui Jun, Meng Jun, Luan Yushi*, A tomato NBS-LRR gene is positively involved in plant resistance to Phytophthora infestans. Phytopathology, 2018, 108(8): 980-987. (SCI IF 3.264, JCR Q1,TOP期刊).
43.Cui Jun, Jiang Ning, Meng Jun, Hou Xinxin, Yang Guanglei, Luan Yushi*. Identification and characterization of defensin genes conferring Phytophthora infestans resistance in tomato. Physiological and Molecular Plant Pathology, 2018. 103: 28-35. (SCI IF 1.678, JCR Q2).
44.Cui Jun, Xu Pinsan, Meng Jun*, Li Jingbin, Jiang Ning, Luan Yushi*, Transcriptome signatures of tomato leaf induced by Phytophthora infestans and functional identification of transcription factor SpWRKY3. Theoretical and Applied Genetics. 2018, 131(4): 787-800 (SCI IF 3.926, JCR Q1,TOP期刊).
45.Jiang Ning, Meng Jun*, Cui Jun, Sun Guangxin, Luan Yushi*, Function identification of miR482b, a negative regulator during tomato resistance to Phytophthora infestans. Horticulture Research. 2018, 5 :9. (SCI IF 3.64, JCR Q1,TOP期刊).
46.Meng Jun, Jiang Dingling, Chang Zheng, Luan Yushi*, Information Fusion and Feature Selection Technique. INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT II, Lecture Notes in Computer Science, 2018, 10955: 318-329. (SCI IF 0.402, JCR Q4).
47.Meng Jun, Jiang Dingling, Zhang Jing, Luan Yushi*, Ensemble classification for gene expression data based on parallel clustering. International Journal of Data Mining and Bioinformatics, 2018, 20(3): 213-229. (SCI IF 0.789, JCR Q4).
48.Luan Yushi, Cui Jun, Li Jie, Jiang Ning, Liu Ping, Meng Jun*, Effective enhancement of resistance to Phytophthora infestans by overexpression of miR172a and b in Solanum lycopersicum. Planta. 2018, 247:127-138. (SCI IF 3.06, JCR Q1).
49.Liu Weiwei, Meng Jun*, Cui Jun, Luan Yushi*, Characterization and Function of MicroRNA*s in Plants. Frontiers in Plant Science. 2017, 8: 2200 (SCI IF 3.678, JCR Q1)
50.Chen Lei, Meng Jun*, Zhai Junmiao, Xu Pinsan, Luan Yushi*. MicroRNA396a-5p and -3p induce tomato disease susceptibility by suppressing target genes and upregulating salicylic acid. Plant Science. 2017, 265 (12): 177-187 (SCI IF 3.712, JCR Q1)
51.Cui Jun, Jiang Ning, Meng Jun*, Luan Yushi*, Genome-wide analysis of response regulator genes in Solanum lycopersicum. Bioinformatics Research and Applications. 2017, 379-384. (EI).
52.Meng Jun, Zhang Jing, Luan Yushi*, He Xinyu, Li Lishuang, Zhu Yuanfeng, Parallel gene selection and dynamic ensemble pruning based on Affinity Propagation. Computers in Biology and Medicine. 2017, 87: 8-21 (SCI IF 2.115, JCR Q2)
53.Cui Jun, Luan Yushi*, Jiang Ning, Bao Hang, Meng Jun*, Comparative transcriptome analysis between resistant and susceptible tomato allows the identification of lncRNA16397 conferring resistance to Phytophthora infestans by co-expressing glutaredoxin. Plant Journal, 2017, 89(3): 577-589. (SCI IF 5.775, JCR Q1,TOP期刊; 高被引论文)
54.Luan Yushi, Cui Jun, Wang Weichen, Meng Jun*, MiR1918 enhances tomato sensitivity to Phytophthora infestans infection. Scientific Reports. 2016, 6:35858. (SCI IF4.259, JCR Q1)
55.Liu Zhen, Luan Yushi*, Li Jingbin. Molecular cloning and expression analysis of SpWRKY6 from Solanum pimpinellifolium L3708. Biologia Plantarum. 2016, 60(2):226-234. (SCI IF 1.551, JCR Q2)
56.Meng Jun, Hao Han, Luan Yushi*, Classifier Ensemble Selection based on Affinity Propagation Clustering. Journal of Biomedical Informatics. 2016, 60:234-242. (SCI IF2.753, JCR Q1, EI)
57.Meng Jun, Wekesa Jael-Sanyanda, Shi Guanli, Luan Yushi*, Protein function prediction based on data fusion and functional interrelationship. Mathematical Biosciences. 2016, 274:25-32. (SCI IF1.246, JCR Q3, EI)
58.Liu Zhen, Luan Yushi*, Li Jingbin, Yin Yali. Expression of a tomato MYB gene in transgenic tobacco increases resistance to Fusarium oxysporum and Botrytis cinerea. European Journal of Plant Pathology. 2016, 144(3): 607-617. (SCI IF 1.478, JCR Q2)
59.Meng Jun, Shi Guanli, Luan Yushi*, Plant miRNA function prediction based on functional similarity network and transductive multi-label classification algorithm. Neurocomputing. 2016, 179: 283-289. (SCI IF 3.317, JCR Q1)
60.Meng Jun, Zhang Xin, Luan Yushi*, Global Propagation Method for Predicting Protein Function by Integrating Multiple Data Sources. Current Bioinformatics. 2016, 11(2):186-194.(SCI IF0.60, JCR Q4)
61.Han Lu (本科生), Luan Yushi*. Horizontal Transfer of Small RNAs to and from Plants. Frontiers in Plant Science. 2015, 6:1113. (SCI IF 4.495, JCR Q1).
62.Chen Lei, Luan Yushi*, Zhai Junmiao. Sp-miR396a-5p acts as a stress-responsive genes regulator by conferring tolerance to abiotic stresses and susceptibility to Phytophthora nicotianae infection in transgenic tobacco. Plant Cell Reports. 2015, 34(12): 2013-2025. (SCI IF3.088, JCR Q1)
63.Meng Jun, Liu Dong, Luan Yushi*, Inferring plant microRNA functional similarity using a weighted protein-protein interaction network. BMC Bioinformatics. 2015, 16: 360. (SCI IF 2.435, JCR Q1, EI)
64.Li Jingbin, Luan Yushi*, Liu Zhen. Overexpression of SpWRKY1 promotes resistance to Phytophthora nicotianae and tolerance to salt and drought stress in transgenic tobacco. Physiologia Plantarum, 2015, 155(3): 248-266. (SCI IF 3.52, JCR Q1)
65.Li Jingbin, Luan Yushi*, Liu Zhen. SpWRKY1 mediates resistance to Phytophthora infestans and tolerance to salt and drought stress by modulating reactive oxygen species homeostasis and expression of defense-related genes in tomato. Plant Cell Tissue and Organ Culture. 2015, 123(1): 67-81. (SCI IF 2.39, JCR Q1, EI)
66.Meng Jun, Li Rui, Luan Yushi*, Classification by integrating plant stress response gene expression data with biological knowledge. Mathematical Biosciences. 2015, 266(8): 65-72. (SCI IF 1.256, JCR Q3)
67.Wang Weichen, Luan Yushi*, The advance of tomato disease-related microRNAs. Plant Cell Reports. 2015, 34(7): 1089-1097 (SCI IF 3.088, JCR Q1)
68.Luan Yushi, Cui Jun, Zhai Junmiao, Li Jie, Han Lu, Meng Jun*, High-throughput sequencing reveals differential expression of miRNAs in tomato inoculated with Phytophthora infestans. Planta. 2015, 241(6):1405-1416 (SCI IF 3.239, JCR Q1)
69.Meng Jun, Zhang Jing, Luan Yushi*, Gene Selection Integrated with Biological Knowledge for Plant Stress Response Using Neighborhood System and Rough Set Theory. IEEE-Acm Transactions on Computational Biology and Bioinformatics, 2015, 12(2): 433-444 (SCI IF1.609, JCR Q2)
70.Meng Jun, Liu Dong, Sun Chao, Luan Yushi*, Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine. BMC Bioinformatics. 2014, 15:423. (SCI IF 2.576, JCR Q1)
71.Meng Jun, Zhang Jing, Li Rui, Luan Yushi*, Gene selection using rough set based on neighborhood for the analysis of plant stress response. Applied Soft Computing, 2014, 25(12): 51-63 (SCI IF 2.81, JCR Q1)
72.Li Jingbin, Luan Yushi*, Yin Yali. SpMYB overexpression in tobacco plants leads to altered abiotic and biotic stress responses. Gene, 2014, 547(1): 145-151(SCI IF2.138, JCR Q3).
73.Luan Yushi*, Wang Weichen, Liu Ping. Identification and functional analysis of novel and conserved microRNAs in tomato. Molecular Biology Reports, 2014, 41(8): 5385-5394(SCI IF 2.024, JCR Q3).
74.Meng Jun, Shi Lin, Luan Yushi*, Plant microRNA-Target Interaction Identification Model Based on the Integration of Prediction Tools and Support Vector Machine. PLoS ONE, 2014, 9(7): e103181 (SCI IF 3.234, JCR Q1).
75.Li Jingbin, Luan Yushi*. Molecular cloning and characterization of a pathogen-induced WRKY transcription factor gene from late blight resistant tomato varieties Solanum pimpinellifolium L3708. Physiological and Molecular Plant Pathology, 2014, 87(7): 25-31(SCI IF 1.407, JCR Q2).
76.Cui Juanjuan, Luan Yushi*, Wang Weichen, Zhai Junmiao. Prediction and validation of potential pathogenic microRNAs involved in Phytophthora infestans infection. Molecular Biology Reports, 2014, 41(3):1879-1889(SCI IF 2.024, JCR Q3).
77.杨茜, 栾雨时*. sly-miR399在番茄抗晚疫病中的初步探究. 中国生物工程杂志, 2021, 41 (11): 23-31.
78.张晓艺# (本科生), 洪雨慧#, 张媛媛, 栾雨时*. Sly-miR166b及其靶基因在番茄抗晚疫病中的作用初探. 园艺学报, 2021, 48 (8): 1595-1604.
79.马宁, 刘亚荣, 崔军, 洪雨慧, 栾雨时*. 番茄蛋白酶抑制剂基因SLPI100的克隆、表达与生物信息学分析. 基因组学与应用生物学, 2020, 39(10): 4656-4663.
80.贺晓丽, 刘萍, 栾雨时*. 番茄MIR398基因的克隆及其在烟草中的表达分析. 植物生理学报,2015, 51 (12): 2163-2168.
81.崔娟娟,栾雨时*. 番茄生物胁迫相关miRNA的研究进展. 生命开云体育nba ,2014,18(6):533-538.
82.肖裕 (本科生),栾雨时*. miR482介导的植物生物胁迫响应. 植物生理学报,2014,50(6): 741-748.
83.韩璐 (本科生),栾雨时*. miR168在植物中的研究进展. 基因组学与应用生物学,2014,33(2):438-444.
84.孙广鑫,栾雨时*,崔娟娟. 番茄中与致病密切相关miRNA的挖掘及特性分析. 遗传,2014,36(1): 69-76.
授权发明专利:
栾雨时,洪雨慧,张媛媛;发明专利“番茄抗晚疫病基因Sly-miR166b及其克隆方法与应用方法”,专利号:ZL202010984073.4, 2022年2月22日。
栾雨时,张敏.发明专利:番茄抗晚疫病外显子环状RNA-EcircRNA45及其克隆、检测与应用方法,专利号:ZL 201810430303.5,2021年9月10日。
栾雨时,姜宁,崔军.发明专利:番茄长链非编码RNA-lncRNA23468及其克隆方法与应用方法,专利号:ZL201810057162.7, 2021年5月18日。
栾雨时,姜宁,崔军,杨广磊.发明专利:番茄抗晚疫病基因SpNBS-LRR及其克隆方法与应用方法,专利号:ZL 201710172194.7, 2020年6月2日。
1977.9 - 1979.7 | 梅河口市第五高中无 |
1994.9 - 1997.7 | 东北师范大学植物学博士 |
1985.9 - 1988.7 | 吉林农业大学植物学硕士 |
1979.9 - 1983.7 | 吉林农业大学植物学学士 |
1998.7 - 至今 | 开云平台首页教师 |
1988.7 - 1998.6 | 吉林农业大学教师 |
1983.7 - 1985.8 | 吉林省白山市蔬菜所技术员 |
中国园艺学会分子育种分会理事
2014.11 - 2022.8中国生物化学与分子生物学会农业分会理事
植物基因工程: 探寻、发现并克隆重要的基因;借助过表达、沉默等技术掌握基因的特性及功能;合理、有效地利用功能基因服务于农业生产和人民生活。
植物与微生物互作: 查明有害(有益)细菌、真菌、病毒等在侵染植物过程中的作用机制,为确保植物健康、快速生长奠定基础。
非编码RNA调控与功能: 鉴定植物非编码RNA,阐明其功能及作用机制;通过非编码RNA组学的研究,构建并完善相关调控网络;为揭示生命的奥秘添砖加瓦。