Metatranscriptomics analysis reveals a novel transcriptional and translational landscape during Middle East respiratory syndrome coronavirus infection

Among all RNA viruses, coronavirus RNA transcription is the most complex and involves a process termed “discontinuous transcription” that results in the production of a set of 3′-nested, co-terminal genomic and subgenomic RNAs during infection. While the expression of the classic canonical set of subgenomic RNAs depends on the recognition of a 6- to 7-nt transcription regulatory core sequence (TRS), here, we use deep sequence and metagenomics analysis strategies and show that the coronavirus transcriptome is even more vast and more complex than previously appreciated and involves the production of leader-containing transcripts that have canonical and noncanonical leader-body junctions. Moreover, by ribosome protection and proteomics analyses, we show that both positive- and negative-sense transcripts are translationally active. The data support the hypothesis that the coronavirus proteome is much vaster than previously noted in the literature

Determinants of the level of knwoledge application: a knowledge-based and information-processing perspective

Knowledge application is of key importance in the development of successful new products. Knowledge application refers to an organization's timely response to technological change by utilizing the knowledge and technology generated into new products and processes. This study uses the knowledge-based theory of the firm and considers its roots in the information-processing approach to organization theory to identify and structure potential antecedents of knowledge application. This study develops four hypotheses concerning antecedents of knowledge application. The hypotheses are tested using data collected from 277 high-technology firms. Empirical results indicate that a long-term orientation supported by a research and development (R&D) budget, formal rewards, and information technology directly increases the level of knowledge application, while R&D co-location indirectly increases the level of knowledge application. It is surprising to find that an increase in the level of organizational redundancy reduces the level of knowledge application. The findings also suggest that information technologies, lead-user, and supplier networks do not appear to significantly influence organizational redundancy