Phytoplasmas ("CandidatusPhytoplasmaThe phylogenetic tree of mollicutes is composed of two major clades that diverged early in evolution (51). One clade contains the orders Acholeplasmatales and Anaeroplasmatales (AAA clade mollicutes), and the other clade contains the orders Mycoplasmatales and Entomoplasmatales (SEM clade mollicutes) (9). Phytoplasmas, formerly known as mycoplasma-like organisms of plants, form a monophyletic group in the order Acholeplasmatales (51) and were recently assigned to a novel genus, "Candidatus Phytoplasma" (41). Approximately 20 phytoplasma phylogenetic groups have been proposed based on 16S rRNA gene sequences, and new branches are continuously being discovered (69,85). Members of the order Acholeplasmatales are distinct from other mollicutes in several ways. For instance, whereas most mollicutes use UGA as a tryptophan codon instead of a stop codon, a feature they share with mitochondria, the acholeplasmas and phytoplasmas retained UGA as a stop codon (80).

No abstract

Microorganisms respond to environmental changes by reprogramming their metabolism primarily through altered patterns of gene expression. DNA microarrays provide a tool for exploiting microorganisms as living sensors of their environment. The potential of DNA microarrays to reflect availability of nutrient components during fermentations on complex media was examined by monitoring global gene expression throughout batch cultivation of Escherichia coli MG1655 on Luria-Bertani (LB) medium. Gene expression profiles group into pathways that clearly demonstrate the metabolic changes occurring in the course of fermentation. Functional analysis of the gene expression related to metabolism of sugars, alcohols, and organic acids revealed that E. coli growing on LB medium switches from a sequential mode of substrate utilization to the simultaneous one in the course of the growth. Maltose and maltodextrins are the first of these substrates to support growth. Utilization of these nutrients associated with the highest growth rate of the culture was followed by simultaneous induction of enzymes involved in assimilation of a large group of other carbon sources including D-mannose, melibiose, D-galactose, L-fucose, L-rhamnose, D-mannitol, amino sugars, trehalose, L-arabinose, glycerol, and lactate. Availability of these nutrients to the cells was monitored by induction of corresponding transport and/or catabolic systems specific for each of the compounds.

Genomic microarrays were used to examine the complex temporal program of gene expression exhibited by bacteriophage T4 during the course of development. The microarray data confirm the existence of distinct early, middle, and late transcriptional classes during the bacteriophage replicative cycle. This approach allows assignment of previously uncharacterized genes to specific temporal classes. The genomic expression data verify many promoter assignments and predict the existence of previously unidentified promoters.

The fate of cellular RNA is largely determined by complex networks of protein-RNA interactions through ribonucleoprotein (RNPs) complexes. Despite their relatively short half-life, transcripts associate with many different proteins that process, modify, translate, and degrade the RNA. Following biogenesis some mRNPs are immediately directed to translation and produce proteins, but many are diverted and regulated by processes including miRNA-mediated mechanisms, transport and localization as well as turnover. Because of this complex interplay estimates of steady state expression by methods such as RNAseq alone cannot capture critical aspects of cellular fate, environmental response, tumorigenesis or gene expression regulation. More selective and integrative tools are needed to measure protein-RNA complexes and the regulatory processes involved. One focus area are measurements of the transcriptome associated with ribosomes and translation. These so-called polysome or ribosome profiling techniques can evaluate translation efficiency as well as the interplay between translation initiation, elongation and termination - subject areas not well understood at a systems biology level. Ribosome profiling is a highly promising technique which provides mRNA positional information of ribosome occupancy, potentially bridging the gap between gene expression (i.e. RNAseq and microarray analysis) and protein quantification (i.e. mass spectrometry). In combination with methods such as RNA immunoprecipitation, miRNA profiling, or proteomics, we obtain a fresh view of global post-transcriptional and translational gene regulation. In addition, these techniques also provide new insight into new regulatory elements, such as alternative open reading frames, and translation regulation under different conditions.