Chloroplast ribosomal protein L32 is encoded in the chloroplast genome

The 50 S subunit of chloroplast ribosomes was prepared from tobacco leaves. The proteins were fractionated and the N-terminal amino acid sequence of a 14 kDa protein was determined. This sequence matches the N-terminal sequence deduced from ORF55 located between ndhF and trnL on the small single-copy region of tobacco chloroplast DNA. The deduced protein shows homology to E. coli and B. stearothermophilus L32 proteins, and it has been named as CL32 and ORF55 as rpl32. The tobacco chloroplast genome therefore contains 21 different ribosomal protein genes.     

Bioinformatics: from genome data to biological knowledge

Recently, molecular biologists have sequenced about a dozen bacterial genomes and the first eukaryotic genome. We can now obtain answers to detailed questions about the complete set of genes of an organism. Bioinformatics methods are increasingly used for attaching biological knowledge to long lists of genes, assigning genes to biological pathways, comparing the gene sets of different species, identifying specificity factors, and describing sets of highly conserved proteins common to all domains of life. Substantial progress has recently been made in the availability of primary and added-value databases, in the development of algorithms and of network information services for genome analysis. The pharmaceutical industry has greatly benefited from the accumulation of sequence data through the identification of targets and candidates for the development of drugs, vaccines, diagnostic markers and therapeutic proteins.     

Putative mechanism of natural transformation as deduced from genome data.

Genetic transformation is widely utilized in molecular biology as a tool for gene cloning in Escherichia coli and for gene mapping in Bacillus subtilis. Several strains of eubacteria can naturally take up exogenous DNA and integrate the DNA into their own genomes. Molecular details of natural transformation, however, remained to be elucidated. The complete genome of a cyanobacterium, Synechocystis sp. PCC6803, has been sequenced. This bacterium has been used to examine functions of a particular gene. The genome is considered to carry information on natural transformable characteristics of Synechocystis. The first step in genetic transformation is the uptake of exogenous DNA. Proteins with non-specific DNA binding features are required, because specificity in the exogenous DNA has not been demonstrated. Such proteins have modules interacting with the phosphate backbone of DNA, including helix-turn-helix modules. Using a consensus pattern of the phosphate-binding helix-turn-helix module, we searched through the genome data of Synechocystis for genes or open reading frame (ORF) products with the pattern in primary structures. We found that an ORF, slr0197, has the pattern in duplicate at the C-terminal region. We also found that the ORF product has a hydrophobic segment at the N-terminal region, which is followed by two internal repeats of the endonuclease domain. Based on these observations, we propose a model for the initial stage of genetic transformation. This is apparently the first report on molecular mechanisms of natural transformation.     

Farm animal genome databases

The requirements for bioinformatics resources to support genome research in farm animals is reviewed.The resources developed to meet these needs are described. Resource databases and associated tools have been developed to handle experimental data. Several of these systems serve the needs of multinational collaborations. Genome databases have been established to provide contemporary summaries of the status of genome maps in a range of farm and domestic animals along with experimental details and citations. New resources and tools will be required to address the informatics needs of emerging technologies such as microarrays. However, continued investment is also required to maintain the currency and utility of the current systems, especially the genome databases.     

A systematic investigation identifies a significant number of probable pseudogenes in the Escherichia coli genome

Pseudogenes are open reading frames (ORFs) encoding dysfunctional proteins with high homology to known protein-coding genes. Although pseudogenes were reported to exist in the genomes of many eukaryotes and bacteria, no systematic search for pseudogenes in the Escherichia coli genome has been carried out. Genome comparisons of E. coli strains K-12 and O157 revealed that many protein-coding sequences have prematurely terminated orthologs encoding unstable proteins. To systematically screen for pseudogenes, we selected ORFs generated by premature termination of the orthologous protein-coding genes and subsequently excluded those possibly arising from sequence errors. Lastly we eliminated those with close homologs in this and other species, as these shortened ORFs may actually have functions. The process produced 95 and 101 pseudogene candidates in K-12 and O157, respectively. The assigned three-dimensional structures suggest that most of the encoded proteins cannot fold properly and thus are dysfunctional, indicating that they are probably pseudogenes. Therefore, the existence of a significant number of probable pseudogenes in E. coli is predicted, awaiting experimental verification. Most of them were found to be genes with paralogs or horizontally transferred genes or both. We suggest that pseudogenes constitute a small fraction of the genomes of free-living bacteria in general, reflecting the faster elimination than production of pseudogenes.     

Application of Bayesian networks on large-scale biological data

The investigation of the interplay between genes, proteins, metabolites and diseases plays a central role in molecular and cellular biology. Whole genome sequencing has made it possible to examine the behavior of all the genes in a genome by high-throughput experimental techniques and to pinpoint molecular interactions on a genome-wide scale, which form the backbone of systems biology. In particular, Bayesian network (BN) is a powerful tool for the ab-initial identification of causal and non-causal relationships between biological factors directly from experimental data. However, scalability is a crucial issue when we try to apply BNs to infer such interactions. In this paper, we not only introduce the Bayesian network formalism and its applications in systems biology, but also review recent technical developments for scaling up or speeding up the structural learning of BNs, which is important for the discovery of causal knowledge from large-scale biological datasets. Specifically, we highlight the basic idea, relative pros and cons of each technique and discuss possible ways to combine different algorithms towards making BN learning more accurate and much faster.     

A Salmonella typhimurium genetic locus which confers copper tolerance on copper-sensitive mutants of Escherichia coli.

Three distinct clones from a Salmonella typhimurium genomic library were identified which suppressed the copper-sensitive (Cu(s)) phenotype of cutF mutants of Escherichia coli. One of these clones, pCUTFS2, also increased the copper tolerance of cutA, -C, and -E mutants, as well as that of a lipoprotein diacylglyceryl transferase (lgt) mutant of E. coli. Characterization of pCUTFS2 revealed that the genes responsible for suppression of copper sensitivity (scs) reside on a 4.36-kb DNA fragment located near 25.4 min on the S. typhimurium genome. Sequence analysis of this fragment revealed four open reading frames (ORF120, ORF627, ORF207, and ORF168) that were organized into two operons. One operon consisted of a single gene, scsA (ORF120), whereas the other operon contained the genes scsB (ORF627), scsC (ORF207), and scsD (ORF168). Comparison of the deduced amino acid sequences of the predicted gene products showed that ScsB, ScsC, and ScsD have significant homology to thiol-disulfide interchange proteins (CutA2, DipZ, CycZ, and DsbD) from E. coli and Haemophilus influenzae, to an outer membrane protein (Com1) from Coxiella burnetii, and to thioredoxin and thioredoxin-like proteins, respectively. The two operons were subcloned on compatible plasmids, and complementation analyses indicated that all four proteins are required for the increased copper tolerance of E. coli mutants. In addition, the scs locus also restored lipoprotein modification in lgt mutants of E. coli. Sequence analyses of the S. typhimurium scs genes and adjacent DNAs revealed that the scs locus is flanked by genes with high homology to the cbpA (predicted curved DNA-binding protein) and agp (acid glucose phosphatase) genes of E. coli located at 22.90 min (1,062.07 kb) and 22.95 min (1,064.8 kb) of the E. coli chromosome, respectively. However, examination of the E. coli chromosome revealed that these genes are absent at this locus and no evidence has thus been obtained for the occurrence of the scs locus elsewhere on the genome.     

Steady progress and recent breakthroughs in the accuracy of automated genome annotation

The sequencing of large, complex genomes has become routine, but understanding how sequences relate to biological function is less straightforward. Although much attention is focused on how to annotate genomic features such as developmental enhancers and non-coding RNAs, there is still no higher eukaryote for which we know the correct exon-intron structure of at least one ORF for each gene. Despite this uncomfortable truth, genome annotation has made remarkable progress since the first drafts of the human genome were analysed. By combining several computational and experimental methods, we are now closer to producing complete and accurate gene catalogues than ever before.     

Organ-specific expression of Arabidopsis genome during development

The development of complex eukaryotic organisms can be viewed as the selective expression of distinct fractions of the genome in different organs or tissue types in response to developmental and environmental cues. Here, we generated a genome expression atlas of 18 organ or tissue types representing the life cycle of Arabidopsis (Arabidopsis thaliana). We showed that each organ or tissue type had a defining genome expression pattern and that the degree to which organs share expression profiles is highly correlated with the biological relationship of organ types. Further, distinct fractions of the genome exhibited expression changes in response to environmental light among the three seedling organs, despite the fact that they share the same photo-perception and transduction systems. A significant fraction of the genes in the Arabidopsis genome is organized into chromatin domains exhibiting coregulated expression patterns in response to developmental or environmental signals. The knowledge of organ-specific expression patterns and their response to the changing environment provides a foundation for dissecting the molecular processes underlying development.     

Whole genome analysis reveals a high incidence of non-optimal codons in secretory signal sequences of Escherichia coli

Translational pausing may occur due to a number of mechanisms, including the presence of non-optimal codons, and it is thought to play a role in the folding of specific polypeptide domains during translation and in the facilitation of signal peptide recognition during sec-dependent protein targeting. In this whole genome analysis of Escherichia coli we have found that non-optimal codons in the signal peptide-encoding sequences of secretory genes are overrepresented relative to the "mature" portions of these genes; this is in addition to their overrepresentation in the 5'-regions of genes encoding non-secretory proteins. We also find increased non-optimal codon usage at the 3' ends of most E. coli genes, in both non-secretory and secretory sequences. Whereas presumptive translational pausing at the 5' and 3' ends of E. coli messenger RNAs may clearly have a general role in translation, we suggest that it also has a specific role in sec-dependent protein export, possibly in facilitating signal peptide recognition. This finding may have important implications for our understanding of how the majority of non-cytoplasmic proteins are targeted, a process that is essential to all biological cells.     

Heterologous expression of SARS-CoV ORF10 and X5 genes in E. coli and Streptomyces lividans TK24

In previous studies a variety of novel accessory genes has been identified that were interspersed among the structural genes of the SARS-CoV (severe acute respiratory syndrome coronavirus) genome. The predicted unknown proteins (PUPs) encoded by the accessory genes, which are considered to be unique to the SARS-CoV genome, might play important roles in the SARS-CoV infection. Two of these genes, called ORF10 and X5, were synthesized and introduced into E. coli and Streptomyces lividans TK24, respectively. SDS-PAGE and Western blot revealed that the ORF10 and X5 genes have been expressed in the two hosts. This is the first report of heterologous expression of ORF10 and X5 genes in E. coli and S. lividans TK24. This work makes it possible to study the structure and potential functions of proteins encoding by these two genes.     

Expression of the adenovirus E4 34k oncoprotein inhibits repair of double strand breaks in the cellular genome of a 293-based inducible cell line

The human adenovirus E4 ORF 6 34 kDa oncoprotein (E4 34k), in concert with the 55 kDa product of E1b, prevents concatenation of viral genomes in infected cells, inhibits the repair of double strand breaks (DSBs) in the viral genome, and inhibits V(D)J recombination in a plasmid transfection assay. These activities are consistent with a general inhibition by the E4 34k and E1b 55k proteins of DSB repair by non-homologous end joining (NHEJ) on extrachromosomal substrates. To determine whether inhibition of NHEJ extends to repair of DSBs in the cell chromosome, we have examined the effects of E4 34k on repair of chromosomal DSBs induced by ionizing radiation in a cell line in which E4 34k expression and biological activity is inducible and E1b 55k is produced constitutively. We demonstrate that in this cell line, induction of E4 34k inhibits chromosomal DSB repair. Recently, it has been shown that in infected cells, E4 34k and the adenovirus E1b 55k proteins cooperate to destabilize Mre11 and Rad50, components of mammalian NHEJ systems. Consistent with this, induction of expression of E4 34k in the inducible cell line also reduces the steady state level of Mre11 protein.     

The yeast genome: on the road to the Golden Age

Having the complete genome sequence of Saccharomyces cerevisiae makes us aware of the ultimate goal of yeast molecular biology: the 'solution' of the cell, that is, an understanding of the function of all approximately 6000 proteins (and a few RNAs) and how they interact with each other and the environment. The recent development of 'genomic' approaches for studying gene function makes this goal seem reachable in the foreseeable future. When this is accomplished, we will have entered a Golden Age, when we will have the information necessary for designing truly incisive experiments to reveal biological function.     

Analysis of the genome structure of the nonpathogenic probiotic Escherichia coli strain Nissle 1917

Nonpathogenic Escherichia coli strain Nissle 1917 (O6:K5:H1) is used as a probiotic agent in medicine, mainly for the treatment of various gastroenterological diseases. To gain insight on the genetic level into its properties of colonization and commensalism, this strain's genome structure has been analyzed by three approaches: (i) sequence context screening of tRNA genes as a potential indication of chromosomal integration of horizontally acquired DNA, (ii) sequence analysis of 280 kb of genomic islands (GEIs) coding for important fitness factors, and (iii) comparison of Nissle 1917 genome content with that of other E. coli strains by DNA-DNA hybridization. PCR-based screening of 324 nonpathogenic and pathogenic E. coli isolates of different origins revealed that some chromosomal regions are frequently detectable in nonpathogenic E. coli and also among extraintestinal and intestinal pathogenic strains. Many known fitness factor determinants of strain Nissle 1917 are localized on four GEIs which have been partially sequenced and analyzed. Comparison of these data with the available knowledge of the genome structure of E. coli K-12 strain MG1655 and of uropathogenic E. coli O6 strains CFT073 and 536 revealed structural similarities on the genomic level, especially between the E. coli O6 strains. The lack of defined virulence factors (i.e., alpha-hemolysin, P-fimbrial adhesins, and the semirough lipopolysaccharide phenotype) combined with the expression of fitness factors such as microcins, different iron uptake systems, adhesins, and proteases, which may support its survival and successful colonization of the human gut, most likely contributes to the probiotic character of E. coli strain Nissle 1917.     

Escherichia coli with a linear genome

Chromosomes in eukaryotes are linear, whereas those of most, but not all, prokaryotes are circular. To explore the effects of possessing a linear genome on prokaryotic cells, we linearized the Escherichia coli genome using the lysogenic lambda-like phage N15. Linear genome E. coli were viable and their genome structure was stable. There were no appreciable differences between cells with linear or circular genomes in growth rates, cell and nucleoid morphologies, genome-wide gene expression (with a few exceptions), and DNA gyrase- and topoisomerase IV-dependent growth. However, under dif-defective conditions, only cells with a circular genome developed an abnormal phenotype. Microscopy indicated that the ends of the linear genome, but not the circular genome, were separated and located at each end of a new-born cell. When tos - the cis-element required for linearization - was inserted into different chromosomal sites, those strains with the genome termini that were more remote from dif showed greater growth deficiencies.     

Identification of new RNA modifying enzymes by iterative genome search using known modifying enzymes as probes.

The complete nucleotide sequences of the Haemophilus influenzae and Mycoplasma genitalium genomes and the partially sequenced Escherichia coli chromosome were analyzed to identify open reading frames (ORFs) likely to encode RNA modifying enzymes. The protein sequences of known RNA modifying enzymes from three families--m5U methyltransferases, psi synthases and 2'-O methyltransferases--were used as probes to search sequence databases for homologs. ORFs identified as homologous to the initial probes were retrieved and used as new probes against the databases in an iterative manner until no more homologous ORFs could be identified. Using this approach, we have identified two new m5U methyltransferases, seven new psi synthases and four new 2'-O methyltransferases in E. coli. Many of the ORFs found in E.coli have direct genetic counterparts (orthologs) in one or both of H.influenzae and M.genitalium. Since there is a near-complete knowledge of RNA modifications in E.coli, functional activities of the proteins encoded by the identified ORFs were proposed based on the level of conservation of the ORFs and the modified nucleotides.