Defining the gene products that play an essential role in an organism's functional repertoire is vital to understanding the system level organization of living cells. We used a genetic footprinting technique for a genome-wide assessment of genes required for robust aerobic growth of Escherichia coli in rich media. We identified 620 genes as essential and 3,126 genes as dispensable for growth under these conditions. Functional context analysis of these data allows individual functional assignments to be refined. Evolutionary context analysis demonstrates a significant tendency of essential E. coli genes to be preserved throughout the bacterial kingdom. Projection of these data over metabolic subsystems reveals topologic modules with essential and evolutionarily preserved enzymes with reduced capacity for error tolerance.Sequencing and comparative analysis of multiple diverse genomes is revolutionizing contemporary biology by providing a framework for interpreting and predicting the physiologic properties of an organism. A variety of emerging postgenomic techniques such as genome-wide expression profiling and monitoring of macromolecular complex formation can reveal the detailed molecular compositions of cells. New computational approaches to exploring the inherent organization of cellular networks, the mode and dynamics of interactions among cellular constituents, are in early stages of development (14,22,23). These techniques allow us to begin unraveling a major paradigm of cellular biology: how biological properties arise from the large number of components making up an individual cell.

Mammalian genes and genomes have been shaped by ancient and ongoing challenges from viruses. These genetic imprints can be identified via evolutionary analyses to reveal fundamental details about when (how old), where (which protein domains), and how (what are the functional consequences of adaptive changes) host-virus arms races alter the proteins involved. Just as extreme amino acid conservation can serve to identify key immutable residues in enzymes, positively selected residues point to molecular recognition interfaces between host and viral proteins that have adapted and counter-adapted in a long series of classical Red Queen conflicts. Common rules for the strategies employed by both hosts and viruses have emerged from case studies of innate immunity genes in primates. We are now poised to use these rules to transition from a retrospective view of host-virus arms races to specific predictions about which host genes face pathogen antagonism and how those genetic conflicts transform host and virus evolution.

Novel drug targets are required in order to design new defenses against antibiotic-resistant pathogens. Comparative genomics provides new opportunities for finding optimal targets among previously unexplored cellular functions, based on an understanding of related biological processes in bacterial pathogens and their hosts. We describe an integrated approach to identification and prioritization of broad-spectrum drug targets. Our strategy is based on genetic footprinting in Escherichia coli followed by metabolic context analysis of essential gene orthologs in various species. Genes required for viability of E. coli in rich medium were identified on a whole-genome scale using the genetic footprinting technique. Potential target pathways were deduced from these data and compared with a panel of representative bacterial pathogens by using metabolic reconstructions from genomic data. Conserved and indispensable functions revealed by this analysis potentially represent broad-spectrum antibacterial targets. Further target prioritization involves comparison of the corresponding pathways and individual functions between pathogens and the human host. The most promising targets are validated by direct knockouts in model pathogens. The efficacy of this approach is illustrated using examples from metabolism of adenylate cofactors NAD(P), coenzyme A, and flavin adenine dinucleotide. Several drug targets within these pathways, including three distantly related adenylyltransferases (orthologs of the E. coli genes nadD, coaD, and ribF), are discussed in detail.

HIV replication requires nuclear export of unspliced viral RNAs to translate structural proteins and package genomic RNA. Export is mediated by cooperative binding of the Rev protein to the Rev response element (RRE) RNA, forming a highly specific oligomeric ribonucleoprotein (RNP) that binds to the Crm1 host export factor. To understand how protein oligomerization generates cooperativity and specificity for RRE binding, we solved the crystal structure of a Rev dimer at 2.5 Å resolution. The dimer arrangement organizes arginine-rich helices at the ends of a V-shaped assembly to bind adjacent RNA sites, structurally coupling dimerization and RNA recognition. A second protein–protein interface arranges higher-order Rev oligomers to act as an adapter to the host export machinery, with viral RNA bound to one face and Crm1 to another, thereby using small, interconnected modules to physically arrange the RNP for efficient export.

Summary Many ribonucleoprotein (RNP) complexes assemble into large, organized structures in which protein subunits are positioned by interactions with RNA and other proteins. Here we demonstrate that HIV Rev, constrained in size by a limited viral genome, also forms an organized RNP by assembling a homo-oligomer on the Rev response element (RRE) RNA. Rev subunits bind cooperatively to discrete RNA sites using an oligomerization domain and an adaptable protein-RNA interface, forming a complex with 500-fold higher affinity than the tightest single interaction. High affinity binding correlates strongly with RNA export activity. Rev utilizes different surfaces of its α-helical RNA-binding domain to recognize several low-affinity binding sites, including the well-characterized stem IIB site and a newly discovered site in stem IA. We propose that adaptable RNA-binding surfaces allow the Rev oligomer to assemble economically into a discrete, stable RNP and provide a mechanistic role for Rev oligomerization during the HIV life cycle.