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： 生物化工. 生物化学与分子生物学. 生物工程
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： ..
栾雨时教授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 8 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）”“番茄SCOOP小肽及其受体MIK2调控植株耐盐性的机制（执行期2025.01-2028.12）”；发表SCI收录论文118 篇，累计有8篇ESI高被引论文。
任教三十余年，讲授过“生物统计学”“普通生物学”“生命科学概论”“细胞生物学” “作物遗传育种学”“植物保护学”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6人、7次获得国家奖学金，有2人获得学业奖学金，有15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1人和6人分别获得大连理工大学优秀博士和硕士学位论文；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。目前正在指导4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）！
博士后招聘公告 http://perdep.dlut.edu.cn/info/1103/4849.htm
近年来研究团队发表的主要文章如下：
1. Wang Zhengjie, Lv Ruili, Su Chenglin, Li Yan, Fang Sizhe, Yang Ruirui, Zhu Jiaxuan, Wang Ruiming, Meng Jun, Luan Yushi*. Regulatory Peptide Encoded by the Primary Transcript of miR396a Influences Gene Expression and Root Development in Solanum lycopersicum. Journal of Agricultural and Food Chemistry. 2024, 72 (29): 16390-16402. (SCI IF 5.7, JCR Q1, TOP期刊)
2. Zhou Xiaoxu#, Wang Zhengjie#, Su Chenglin, Cui Jun, Meng Jun, Luan Yushi*. Genome-wide analyses of miRNAs in mycorrhizal plants in response to late blight and elucidation of the role of miR319c in tomato resistance. Horticultural Plant Journal. 2023, 9: https://doi.org/10.1016/j.hpj.2023.03.016. (SCI IF 5.7, JCR Q1)
3. Wang Zhaowei, Meng Jun, Dai Qiguo, Li Haibin, Xia Shihao, Yang Ruirui, Luan Yushi. DeepPepPI: A deep cross-dependent framework with information sharing mechanism for predicting plant peptide-protein interactions. Expert Systems With Applications. 2024, 252: 124168. (SCI IF 7.5, JCR Q1, TOP期刊)
4. Zhang Jiahui, Wei Hongbo, Hong Yuhui, Yang Ruirui, Meng Jun, Luan Yushi*. The lncRNA20718-miR6022-RLPs module regulates tomato resistance to Phytophthora infestans. Plant Cell Reports. 2024, 43: 57. (SCI IF 5.3, JCR Q1). https://link.springer.com/article/10.1007/s00299-024-03161-7.
5. Yang Ruirui, Wang Zhicheng, Zhao Lei, Liu Jie, Meng Jun, Luan Yushi*. The secreted peptide SpPIP1 modulates disease resistance and salt tolerance in tomato. Journal of Agricultural and Food Chemistry. 2023, 71 (32): 12264-12279. (SCI IF 5.7, JCR Q1, TOP期刊)
6. Su Chenglin#, Wang Zhengjie#, Cui Jun, Wang Zhicheng, Wang Ruiming, Meng Jun, Luan Yushi*. Sl-lncRNA47980, a positive regulator affects tomato resistance to Phytophthora infestans. International Journal of Biological Macromolecules. 2023, 248: 125824. (SCI IF 7.7, JCR Q1, TOP期刊)
7. Wang Zhengjie#, Cui Qi#, Su Chenglin, Zhao Siyuan, Wang Ruiming, Wang Zhicheng, Meng Jun, Luan Yushi*. Unveiling the Secrets of Non-coding RNA-encoded Peptides in Plants: A Comprehensive Review of Mining Methods and Research Progress. International Journal of Biological Macromolecules. 2023, 242: 124952. (SCI IF 7.7, JCR Q1, TOP期刊)
8. Yang Ruirui, Liu Jie, Wang Zhicheng, Zhao Lei, Xue Tingting, Meng Jun, Luan Yushi*. The SlWRKY6-SlPROPEP-SlPep module confers tomato resistance to Phytophthora infestans. Scientia Horticulturae. 2023, 318: 112117. (SCI IF 3.9, JCR Q1, TOP期刊)
9. Li Haibin, Meng Jun*, Wang Zhaowei, Tang Youwei, Xia Shihao, Wang Yu, Qin Zhaojing, Luan Yushi*. miPEPPred-FRL:A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning. Journal of chemical information and modeling. 2023,64: 2889-2900.(SCI IF 5.6, JCR Q1, TOP期刊).
10. Wang Zhaowei, Meng Jun*, Li Haibin, Xia Shihao, Wang Yu, Luan Yushi. PAMPred: A hierarchical evolutionary ensemble framework for identifying plant antimicrobial peptides. Computers in Biology and Medicine. 2023, 166: 107545 (SCI IF 7.0, JCR Q1, TOP期刊).
11. Wang Zhicheng #, Su Chenglin#, Hu Wenyun, Su Qiao*, Luan Yushi*. The effectors of Phytophthora infestans impact host immunity upon regulation of antagonistic hormonal activities. Planta. 2023, 258(3). https://rdcu.be/dio8Z (SCI IF 3.6, JCR Q1)
12. Zhao Siyuan, Meng Jun*, Wekesa Jael Sanyanda, Luan Yushi. Identification of small open reading frames in plant lncRNA using class-imbalance learning. Computers in Biology and Medicine. 2023, 157: 106773 (SCI IF 7.0, JCR Q1, TOP期刊).
13. Chen Ziwei, Meng Jun*, Zhao Siyuan, Yin Chao, Luan Yushi. sORFPred: A Method Based on Comprehensive Features and Ensemble Learning to Predict the sORFs in Plant LncRNAs. Interdisciplinary Sciences: Computational Life Sciences. 2023, 15: 189-201. (SCI IF 3.9, JCR Q1).
14. 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, 64: 1979-1993. (SCI IF 11.4, JCR Q1, TOP期刊; 高被引论文).
15. 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 9.5, JCR Q1).
16. 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 4.8, JCR Q1).
17. 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 9.5, JCR Q1).
18. 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 4.8, JCR Q1).
19. 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).
20. 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).
21. 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).
22. 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).
23. 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).
24. 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)
25. 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).
26. 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).
27. 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)
28. 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).
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).
30. 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)
31. 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; 高被引论文)
32. 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).
33. Sun Xiaodong, Lyu Guozhong*, Luan Yushi*, Yang Hong, Zhao Zhihui. Metabolomic study of the soybean pastes fermented by the single species Penicillium glabrum GQ1-3 and Aspergillus oryzae HGPA20. Food Chemistry. 2019. 295: 622-629. (SCI IF 6.306, JCR Q1, TOP期刊).
34. 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)
35. 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).
36. 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).
37. 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).
38. 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).
39. Sun Xiaodong, Lyu Guozhong*, Luan Yushi*, Zhao Zhihui, Yang Hong, Su Dan. Analyses of microbial community of naturally homemade soybean pastes in Liaoning Province of China by Illumina Miseq Sequencing. Food Research International, 2018. 111: 50-57. (SCI IF3.579, JCR Q1, TOP期刊).
40. 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).
41. 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)
42. 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)
43. 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)
44. 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)
45. 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)
46. 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)
47. 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).
48. 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)
49. 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)
50. 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)
51. 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)
52. 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)
53. 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)
54. 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)
55. 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)
56. 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.
57. 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.
58. 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.
59. 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.
60. 崔娟娟，栾雨时*. 番茄生物胁迫相关miRNA的研究进展. 生命科学研究，2014，18（6）：533-538.
61. 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.
62. 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.
63. 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，张媛媛，洪雨慧；发明专利: 番茄抗晚疫病长链非编码RNA-lncRNA40787及其克隆方法与应用方法；专利号：ZL202010984101.2, 2023年11月24日。
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 | 大连理工大学 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。
