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        Identification and co-expression network analysis of plumule-preferentially expressed genes in Oryza sativa

        Sun Guilian,Wu Zongmin,Zhai Lisheng,Yi Yin,Yan Huiqing,Huang Xiaolong 한국유전학회 2023 Genes & Genomics Vol.45 No.3

        Background The seedling establishment is controlled by the programmed expression of sets of genes at the specific tissues of seed, abundance and environment. Plumule is an important part of the seed embryo and expresses the suits of genes to exert distinct functions during seed germination. Although rice genomic resources are available and developed rapidly, thousands of transcripts have not previously been located in the plumule of rice. Objective This study was performed to identify plumule-preferentially expressed (OsPluP) genes in rice and determine the expression profiles and functions of OsPluP genes. Methods We identified the OsPluP genes through Affymetrix microarray data. Meanwhile, qRT-PCR was performed to validate the expression pattern, also found that OsPluP genes were regulated by dark/light treatment. The cis-acting regulatory elements were analyzed in the promoters’ regions of OsPluP genes. The T-DNA mutant of the OsPluP seed was used to reveal the function in seed germination. Results In this study, a genomic survey of OsPluP genes was performed, and we identified 88 OsPluP genes based on Affymetrix microarray data. The expression profiles of 88 OsPluP members in 24 representative tissues covering rice whole life cycle can be roughly classified into three major groups, suggesting functional divergence of OsPluP genes in seed germination. The microarray data, qRT-PCR, and promoter analysis results demonstrated that transcripts of more than half OsPluPs (54 genes) could be enhanced in the darkness and respond to phytohormone. Gene Ontology (GO)and Kyoto encyclopedia of genes and genomes (KEGG) analysis demonstrated that OsPluP and their co-expressed genes were highly enriched in fatty acid metabolism. Moreover, OsPluP82 T-DNA mutant seeds displayed short plumule length and storage lipid accumulation. Conclusion This study would enable the functions of OsPluP genes during seed germination and contribute to the goal of molecular regulatory networks that lay the foundation for further studies of seedling growth.

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        Fuzzy Keyword Search Method over Ciphertexts supporting Access Control

        ( Zhuolin Mei ),( Bin Wu ),( Shengli Tian ),( Yonghui Ruan ),( Zongmin Cui ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.11

        With the rapid development of cloud computing, more and more data owners are motivated to outsource their data to cloud for various benefits. Due to serious privacy concerns, sensitive data should be encrypted before being outsourced to the cloud. However, this results that effective data utilization becomes a very challenging task, such as keyword search over ciphertexts. Although many searchable encryption methods have been proposed, they only support exact keyword search. Thus, misspelled keywords in the query will result in wrong or no matching. Very recently, a few methods extends the search capability to fuzzy keyword search. Some of them may result in inaccurate search results. The other methods need very large indexes which inevitably lead to low search efficiency. Additionally, the above fuzzy keyword search methods do not support access control. In our paper, we propose a searchable encryption method which achieves fuzzy search and access control through algorithm design and Ciphertext-Policy Attribute-based Encryption (CP-ABE). In our method, the index is small and the search results are accurate. We present word pattern which can be used to balance the search efficiency and privacy. Finally, we conduct extensive experiments and analyze the security of the proposed method.

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        Privacy-assured Boolean Adjacent Vertex Search over Encrypted Graph Data in Cloud Computing

        ( Hong Zhu ),( Bin Wu ),( Meiyi Xie ),( Zongmin Cui ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10

        With the popularity of cloud computing, many data owners outsource their graph data to the cloud for cost savings. The cloud server is not fully trusted and always wants to learn the owners` contents. To protect the information hiding, the graph data have to be encrypted before outsourcing to the cloud. The adjacent vertex search is a very common operation, many other operations can be built based on the adjacent vertex search. A boolean adjacent vertex search is an important basic operation, a query user can get the boolean search results. Due to the graph data being encrypted on the cloud server, a boolean adjacent vertex search is a quite difficult task. In this paper, we propose a solution to perform the boolean adjacent vertex search over encrypted graph data in cloud computing (BASG), which maintains the query tokens and search results privacy. We use the Gram-Schmidt algorithm and achieve the boolean expression search in our paper. We formally analyze the security of our scheme, and the query user can handily get the boolean search results by this scheme. The experiment results with a real graph data set demonstrate the efficiency of our scheme.

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