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- 저자 : Long YuQing (검색결과 3 건)
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Long YuQing,Zeng Juan,Yang Min,Zhou XinRu,Zeng Mei,Liu ChangYu,Tong QiaoZhen,Zhou RiBao,Liu XiangDan 한국유전학회 2023 Genes & Genomics Vol.45 No.4
Background Lonicera macranthoides Hand.-Mazz. is an important medicinal plant. Xianglei-type (XL) L. macranthoides was formed after many years of cultivation by researchers on the basis of the natural mutant. The corolla of L. macranthoides XL remains unexpanded and its flowering period is nearly three times longer than that of wild-type (WT) plants. However, the molecular mechanism behind this desirable trait remains a mystery. Objective To understand the floral phenotype differences between L. macranthoides and L. macranthoides XL at the molecular level. Methods Transcriptome analysis was performed on L. macranthoides XL and WT. One DEG was cloned by RT-PCR amplification and selected for qRT-PCR analysis. Results Transcriptome analysis showed that there were 5603 differentially expressed genes (DEGs) in XL vs. WT. Enrichment analysis of DEGs showed that pathways related to plant hormone signal transduction were significantly enriched. We identified 23 key genes in ethylene biosynthesis and signal transduction pathways. The most abundant were the ethylene biosynthesis DEGs. In addition, the open reading frames (ORFs) of WT and XL ETR2 were successfully cloned and named LM-ETR2 (GenBank: MW334978) and LM-XL-ETR2 (GenBank: MW334978), respectively. qRT-PCR at different flowering stages suggesting that ETR2 acts in the whole stage of flower development of WT and XL. Conclusions This study provides new insight into the molecular mechanism that regulates the development of special traits in the flowers of L. macranthoides XL. The plant hormone ethylene plays an important role in flower development and flowering duration prolongation in L. macranthoides. The ethylene synthesis gene could be more responsible for the flower phenotype of XL. The genes identified here can be used for breeding and improvement of other flowering plants after functional verification.
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( Qianqian Zhang ),( Xiehao Wang ),( Defeng Zhang ),( Meng Long ),( Zhenbing Wu ),( Yuqing Feng ),( Jingwen Hao ),( Shuyi Wang ),( Qian Liao ),( Aihua Li ) 한국미생물생명공학회(구 한국산업미생물학회) 2019 Journal of microbiology and biotechnology Vol.29 No.8
Fish mycobacteriosis is a common bacterial disease in many species of freshwater and marine fish and has caused severe loss of fish production. Mycobacterium marinum has been the most prevalent pathogen observed in several outbreaks of mycobacteriosis of farmed sturgeons in China. However, the immune responses and pathology of sturgeons in mycobacterial infection are rarely studied. Therefore, we used the Illumina RNA-seq method to analyze the transcriptome profile of Acipenser schrenckii challenged with Mycobacterium marinum. To begin, 168,220 non-redundant contigs were acquired from the infection and control groups, and among these, 33,225 contigs have acquired annotations. A total of 4,043 differently expressed (DE) contigs between the two groups were identified, and among these, 2479 were upregulated and 1564 were down-regulated in the infected fish. A total of 1,340 DE contigs with acquired annotations in KEGG were enriched for 124 pathways including the TNF signaling pathway, and the Toll-like receptor signaling pathway. The roles of DE genes involved in significant pathways and other processes were discussed. The 2,209 DE contigs that have yet to acquire proper annotation may represent candidate genes associated with infection in sturgeons and are expected to serve as immunogenetic resources for further study. To our best knowledge, this is the first transcriptome study on sturgeons under bacterial infection.
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Study of Traveling Partners’ Discovery Algorithm Based Closed Clustering and Intersecting
Kongfa Hu,Jiadong Xie,Chengjun Hu,Tao Yang,Yuqing Mao,Yun Hu,Long Li 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.6
As the rapid development of IOT (the Internet of Things), RFID technology has been widely applied, and it generates a large of RFID trajectory stream data with the spatial-temporal characteristic. Because RFID has many characteristics, it leads to become very difficult that extracting moving objects groups that together moving (ie. traveling partners) in a period of time from RFID trajectory stream data. Existing methods are difficult to efficiently find this model. This paper presents a closed clustering and intersecting algorithm (CCI) for RFID data to detect movement along traveling partners, which is mainly constituted by two steps: first step is clustering sub-trajectory, it generates sub-trajectory clusters; second step is intersecting sub-trajectories with the traveling partners’ candidate set to improve the candidate set, and find out traveling partners. In this process, we use the principle of Closure to accelerate our processing. Through experiments on the RFID synthetic dataset, we demonstrate the effectiveness and efficiency of our algorithm, thus show that our algorithm is suitable for discovering traveling partners in RFID applications.
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