San Diego State University

About: San Diego State University is a education organization based out in San Diego, California, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 12418 authors who have published 27950 publications receiving 1192375 citations. The organization is also known as: SDSU & San Diego State College.

Leader--member exchange, differentiation, and psychological contract fulfillment: a multilevel examination.

Abstract: Prior integrations of the leader-member exchange (LMX) and psychological contract literatures have not clarified how within-group LMX differentiation influences employees' attitudes and behaviors in the employment relationship. Therefore, using a sample of 278 members and managers of 31 intact work groups at 4 manufacturing plants, the authors examined how LMX operating at the within-group level (relative LMX, or RLMX) and the group level influenced perceptions of psychological contract fulfillment and employee-level outcomes. Controlling for individual-level perceptions of LMX quality, results indicated a positive relationship between RLMX and fulfillment, which was strengthened as group-level variability in LMX quality increased. Perceptions of fulfillment mediated the relationship between RLMX and performance and sportsmanship behaviors. The importance of conceptualizing LMX as simultaneously operating at multiple levels is highlighted.

Computational approaches to predict bacteriophage–host relationships

Abstract: Metagenomics has changed the face of virus discovery by enabling the accurate identification of viral genome sequences without requiring isolation of the viruses. As a result, metagenomic virus discovery leaves the first and most fundamental question about any novel virus unanswered: What host does the virus infect? The diversity of the global virosphere and the volumes of data obtained in metagenomic sequencing projects demand computational tools for virus-host prediction. We focus on bacteriophages (phages, viruses that infect bacteria), the most abundant and diverse group of viruses found in environmental metagenomes. By analyzing 820 phages with annotated hosts, we review and assess the predictive power of in silico phage-host signals. Sequence homology approaches are the most effective at identifying known phage-host pairs. Compositional and abundance-based methods contain significant signal for phage-host classification, providing opportunities for analyzing the unknowns in viral metagenomes. Together, these computational approaches further our knowledge of the interactions between phages and their hosts. Importantly, we find that all reviewed signals significantly link phages to their hosts, illustrating how current knowledge and insights about the interaction mechanisms and ecology of coevolving phages and bacteria can be exploited to predict phage-host relationships, with potential relevance for medical and industrial applications.