SummaryPlants can re‐programme their transcriptome, proteome and metabolome to deal with environmental and biotic stress. It has been shown that the rhizosphere microbiome has influence on the plant metabolome and on herbivore behaviour. In the present study, Trichoderma gamsii was isolated from Arabidopsis thaliana rhizosphere soil. The inoculation of roots of Arabidopsis thaliana with T. gamsii significantly inhibited the feeding behaviour of Trichoplusia ni and affected the metabolome as well as the content of phytohormones in Arabidopsis leaves. T. gamsii‐treated plant leaves had higher levels of amino acids and lower concentrations of sugars. In addition, T. gamsii‐treated plant leaves had more abscisic acid (ABA) and lower levels of salicylic acid (SA) and indole‐3‐acetic acid (IAA) in comparison with the untreated plants. Furthermore, the inoculation with T. gamsii on different signalling mutants showed that the induction of defences were SA‐dependent. These findings indicate that T. gamsii has potential as a new type of biocontrol agent to promote plant repellence to insect attacks.

Radiology teaching usually employs a systematic and comprehensive set of medical images and related information. Databases with representative radiological images and documents are highly desirable and widely used in Radiology teaching programs. Currently, computer-based teaching file systems are widely used in Medicine and Radiology teaching as an educational resource. This work addresses a user-centered radiology electronic teaching file system as an instance of MIRC compliant medical image database. Such as a digital library, the clinical cases are available to access by using a web browser. The system has offered great opportunities to some Radiology residents interact with experts. This has been done by applying user-centered techniques and creating usage context-based tools in order to make available an interactive system.

This paper proposes elements for the effective design and implementation of specialized information systems, specifically those, which are used by professionals from different specialties and with different perspectives for the use of information. The paper is based on an analysis of the information flow in a radiology department. It poses reflections about clinical information retrieval systems based on principles of sharing and use of information scattered in specific subsystems, in order to guarantee the necessary infrastructure for the medical teams to have access to information in real time to make integrated analyses of the clinical state of patients. This investigation is made by using the theoretical framework of Information Science, especially the information cycle, as well as the principles of organization proposed by Information Architecture. The results indicate the need to think about mechanisms for the information management, which should take into account aspects of interoperability of documents and information of different natures, generated in heterogeneous environments. It is possible to conclude that clinical documents are in a constant state of elaboration. Because of this, it requires specific actions in terms of the project and management of information services that deal with documents of such nature.

Medical diagnosis is an outcome got from a complex process that implies multiple inferences from sets of clinical information. A large body of research has been conducted to develop tools in order to aid analyzing the amount of clinical information. In this paper, a system -called CaseServer -is presented. It supports radiology teaching and research practices. The initial intention was to create an electronic and MIRC-compliant infrastructure to provide integrated and context-based access to all relevant patient data at the time of image interpretation. A successful implementation has integrated information collected from various sources. Furthermore, the application of role-based coupled with context-based principles to acquisition, organization, control, dissemination and use of clinical cases in teaching and research has brought out a multipurpose infrastructure which promotes and makes feasible the usage of clinical cases within academic and research communities. General TermsMedical images, clinical information, radiology teaching.