Jasmonates (JAs) are key phytohormones involved in regulation of plant growth and development, stress responses, and secondary metabolism. It has been reported that treatments with JAs could increase the contents of Amaryllidaceae alkaloids in Amaryllidaceae plants. Jasmonate ZIM (zinc-finger inflorescence meristem) domain (JAZ) proteins are key components in JA signal processes. However, JAZ proteins have not been characterized in genus Lycoris. In this study, we identified and cloned seven differentially expressed JAZ genes (namely LaJAZ1-LaJAZ7) from Lycoris aurea. Bioinformatic analyses revealed that these seven LaJAZ proteins contain the ZIM domain and JA-associated (Jas, also named CCT_2) motif. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis revealed that these LaJAZ genes display different expression patterns in L. aurea tissues, and most of them are inducible when treated with methyl jasmonate (MeJA) treatment. Subcellular localization assay demonstrated that LaJAZ proteins are localized in the cell nucleus or cytoplasm. In addition, LaJAZ proteins could interact with each other to form homodimer and/or heterodimer. The findings in this study may facilitate further functional research of the LaJAZ genes, especially the potential regulatory mechanism of plant secondary metabolites including Amaryllidaceae alkaloids in L. aurea.

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Apache Kafka is an open source distributed messaging system based on the publish-subscribe model, which achieves low latency, high throughput and good load balancing. As a popular messaging system, the transmission of messages between applications is one of the core functions of Kafka. Therefore, the reliability and security of data in the process of message transmission in Kafka have become the focus of attention. The formal methods can analyze whether a model is highly credible. Therefore, it is significant to analyze Kafka messaging mechanism which describes the communication process and rules between each module entity in Kafka from the perspective of formal methods. In this paper, we apply the process algebra CSP (Communicating Sequential Processes) and the model checking tool PAT (Process Analysis Toolkit) to analyze Kafka messaging mechanism. The results of verification show that the model caters for its specification and guarantees the reliability of messages in the normal communication process. Moreover, in order to further analyze the security of Kafka messaging mechanism, we add the intruder model and the authentication protocol Kerberos model and compare the verification results of Kafka messaging mechanism with or without the secure protocol Kerberos. The results show that the Kerberos protocol has improved the security of Kafka messaging mechanism in some aspects, but there are still some security loopholes.