Annotated Open Reading Frames Research Articles

The expanding world of small RNAs in the hyperthermophilic archaeon Sulfolobus solfataricus

Archaeal L7Ae is a multifunctional protein that binds to a distinctive K-turn motif in RNA and is found as a component in the large subunit of the ribosome, and in ribose methylation and pseudouridylation guide RNP particles. A collection of L7Ae-associated small RNAs were isolated from Sulfolobus solfataricus cell extracts and used to construct a cDNA library; 45 distinct cDNA sequences were characterized and divided into six groups. Group 1 contained six RNAs that exhibited the features characteristic of the canonical C/D box archaeal sRNAs, two RNAs that were atypical C/D box sRNAs and one RNA representative of archaeal H/ACA sRNA family. Group 2 contained 13 sense strand RNA sequences that were encoded either within, or overlapping annotated open reading frames (ORFs). Group 3 contained three sequences form intergenic regions. Group 4 contained antisense sequences from within or overlapping sense strand ORFs or antisense sequences to C/D box sRNAs. More than two-thirds of these sequences possessed K-turn motifs. Group 5 contained two sequences corresponding to internal regions of 7S RNA. Group 6 consisted of 11 sequences that were fragments from the 5' or 3' ends of 16S and 23S ribosomal RNA and from seven different tRNAs. Our data suggest that S. solfataricus contains a plethora of small RNAs. Most of these are bound directly by the L7Ae protein; the others may well be part of larger, transiently stable RNP complexes that contain the L7Ae protein as core component.

Complete genome sequence of bacteriophage T5

The 121,752-bp genome sequence of bacteriophage T5 was determined; the linear, double-stranded DNA is nicked in one of the strands and has large direct terminal repeats of 10,139 bp (8.3%) at both ends. The genome structure is consistently arranged according to its lytic life cycle. Of the 168 potential open reading frames (ORFs), 61 were annotated; these annotated ORFs are mainly enzymes involved in phage DNA replication, repair, and nucleotide metabolism. At least five endonucleases that believed to help inducing nicks in T5 genomic DNA, and a DNA ligase gene was found to be split into two separate ORFs. Analysis of T5 early promoters suggests a probable motif AAA{3, 4 T}n TTGCTT{17, 18 n} TATAATA{12, 13 W}{10 R} for strong promoters that may strengthen the step modification of host RNA polymerase, and thus control transcription of phage DNA. The distinct protein domain profile and a mosaic genome structure suggest an origin from the common genetic pool.

Identifying protein function--a call for community action.

During the last few years, we have seen enormous strides in our abilities to sequence genomes, and the information that has poured out of these sequences is quite astonishing. With more than 150 complete genome sequences now available and many laboratories rushing into microarray analysis, proteomic initiatives, and even systems biology, it seems an appropriate time to consider not just the opportunities those sequences present, but also their shortcomings. By far the most serious problem is the quality and degree of completeness of the annotation of those genomes. Most troublesome are the large numbers of open reading frames that have been identified by computer programs, but remain labeled as a “conserved hypothetical protein” when they occur in more than one genome or simply a “hypothetical protein” when they appear unique to the genome in question. Between them, these two categories of annotated open reading frames often represent more than half of the potential protein-coding regions of a genome. These annotations highlight just one portion of our ignorance about the information content of genomes and our lack of fundamental knowledge about the function of so many of the building blocks of cells. Unless we rectify this situation, it is likely to undermine many of the other “-omic” efforts currently underway. Here I advocate a rather straightforward approach to address this problem—focused initially on the bacterial genomes. In contrast to the numerous proposals for big science initiatives to understand the fundamental workings of biological organisms, I propose a small science, relatively low-tech approach that could have a dramatic pay off. A relatively small investment could yield a massive amount of information that would greatly enhance our current efforts to use genomic approaches to study life.

High-throughput protein analysis integrating bioinformatics and experimental assays.

The wealth of transcript information that has been made publicly available in recent years requires the development of high-throughput functional genomics and proteomics approaches for its analysis. Such approaches need suitable data integration procedures and a high level of automation in order to gain maximum benefit from the results generated. We have designed an automatic pipeline to analyse annotated open reading frames (ORFs) stemming from full-length cDNAs produced mainly by the German cDNA Consortium. The ORFs are cloned into expression vectors for use in large-scale assays such as the determination of subcellular protein localization or kinase reaction specificity. Additionally, all identified ORFs undergo exhaustive bioinformatic analysis such as similarity searches, protein domain architecture determination and prediction of physicochemical characteristics and secondary structure, using a wide variety of bioinformatic methods in combination with the most up-to-date public databases (e.g. PRINTS, BLOCKS, INTERPRO, PROSITE SWISSPROT). Data from experimental results and from the bioinformatic analysis are integrated and stored in a relational database (MS SQL-Server), which makes it possible for researchers to find answers to biological questions easily, thereby speeding up the selection of targets for further analysis. The designed pipeline constitutes a new automatic approach to obtaining and administrating relevant biological data from high-throughput investigations of cDNAs in order to systematically identify and characterize novel genes, as well as to comprehensively describe the function of the encoded proteins.

GAMOLA: a new local solution for sequence annotation and analyzing draft and finished prokaryotic genomes.

Laboratories working with draft phase genomes have specific software needs, such as the unattended processing of hundreds of single scaffolds and subsequent sequence annotation. In addition, it is critical to follow the "movement" and the manual annotation of single open reading frames (ORFs) within the successive sequence updates. Even with finished genomes, regular database updates can lead to significant changes in the annotation of single ORFs. In functional genomics it is important to mine data and identify new genetic targets rapidly and easily. Often there is no need for sophisticated relational databases (RDB) that greatly reduce the system-independent access of the results. Another aspect is the internet dependency of most software packages. If users are working with confidential data, this dependency poses a security issue. GAMOLA was designed to handle the numerous scaffolds and changing contents of draft phase genomes in an automated process and stores the results for each predicted ORF in flatfile databases. In addition, annotation transfers, ORF designation tracking, Blast comparisons, and primer design for whole genome microarrays have been implemented. The software is available under the license of North Carolina State University. A website and a downloadable example are accessible under (http://fsweb2.schaub. ncsu.edu/TRKwebsite/index.htm).

A non-redundant microarray of genes for two related bacteria.

A microarray with sequences from the annotated open reading frames (ORFs) in Salmonella enterica subspecies 1, serovar Typhimurium was supplemented with annotated chromosomal ORFs from serovar Typhi that are divergent from Typhimurium (>10% DNA sequence divergence). This non- redundant array was used to (i) measure changes in gene copy number in DNA from actively growing versus stationary Typhi and (ii) to reveal the transcriptional response of Typhi to peroxide, a stress similar to that experienced when they are phagocytosed by macrophages. In S.enterica subspecies 1, pairs of genomes differ in the presence or absence of approximately 10% of their genes. An array twice the size of that needed to cover all ORFs for one genome could carry close homologs of all the ORFs for 10 genomes. Non-redundant DNA arrays could be constructed for any group of closely related organisms that differ by the presence and absence of a few genes.

Reconstructed protein arrays from 3D HPLC/tandem mass spectrometry and 2D gels: complementary approaches to Porphyromonas gingivalis protein expression.

We compare typical qualitative protein identification data from two-dimensional (2D) polyacrylamide gel electrophoresis and reconstructed protein arrays, in the context of measuring protein expression by the Gram-negative periodontal pathogen Porphyromonas gingivalis. The arrays were assembled computationally from genome annotations and tandem mass spectrometry data from an off-line HPLC fractionation combined with 2D capillary HPLC analysis of whole proteome enzymatic digests. The 2D separation was carried out with a standard binary gradient HPLC system, modified only slightly with readily available components. Compared to 2D gels, the number of annotated open reading frames identified using the 3D HPLC approach was typically larger by at least a factor of 30. However, the newer technology is currently limited in its ability to reflect the many protein variants derived from posttranscriptional and posttranslational processing.

Functional profiling of the Saccharomyces cerevisiae genome

Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.

A small reservoir of disabled ORFs in the yeast genome and its implications for the dynamics of proteome evolution

We surveyed the sequenced Saccharomyces cerevisiae genome (strain S288C) comprehensively for open reading frames (ORFs) that could encode full-length proteins but contain obvious mid-sequence disablements (frameshifts or premature stop codons). These pseudogenic features are termed disabled ORFs (dORFs). Using homology to annotated yeast ORFs and non-yeast proteins plus a simple region extension procedure, we have found 183 dORFs. Combined with the 38 existing annotations for potential dORFs, we have a total pool of up to 221 dORFs, corresponding to less than ∼3 % of the proteome. Additionally, we found 20 pairs of annotated ORFs for yeast that could be merged into a single ORF (termed a mORF) by read-through of the intervening stop codon, and may comprise a complete ORF in other yeast strains. Focussing on a core pool of 98 dORFs with a verifying protein homology, we find that most dORFs are substantially decayed, with ∼90 % having two or more disablements, and ∼60 % having four or more. dORFs are much more yeast-proteome specific than live yeast genes (having about half the chance that they are related to a non-yeast protein). They show a dramatically increased density at the telomeres of chromosomes, relative to genes. A microarray study shows that some dORFs are expressed even though they carry multiple disablements, and thus may be more resistant to nonsense-mediated decay. Many of the dORFs may be involved in responding to environmental stresses, as the largest functional groups include growth inhibition, flocculation, and the SRP/TIP1 family. Our results have important implications for proteome evolution. The characteristics of the dORF population suggest the sorts of genes that are likely to fall in and out of usage (and vary in copy number) in a strain-specific way and highlight the role of subtelomeric regions in engendering this diversity. Our results also have important implications for the effects of the [PSI+] prion. The dORFs disabled by only a single stop and the mORFs (together totalling 35) provide an estimate for the extent of the sequence population that can be resurrected readily through the demonstrated ability of the [PSI+] prion to cause nonsense-codon read-through. Also, the dORFs and mORFs that we find have properties (e.g. growth inhibition, flocculation, vanadate resistance, stress response) that are potentially related to the ability of [PSI+] to engender substantial phenotypic variation in yeast strains under different environmental conditions. (See genecensus.org/pseudogene for further information.)

Complementing genomics with proteomics: the membrane subproteome of Pseudomonas aeruginosa PAO1.

With the completion of many genome projects, a shift is now occurring from the acquisition of gene sequence to understanding the role and context of gene products within the genome. The opportunistic pathogen Pseudomonas aeruginosa is one organism for which a genome sequence is now available, including the annotation of open reading frames (ORFs). However, approximately one third of the ORFs are as yet undefined in function. Proteomics can complement genomics, by characterising gene products and their response to a variety of biological and environmental influences. In this study we have established the first two-dimensional gel electrophoresis reference map of proteins from the membrane fraction of P. aeruginosa strain PA01. A total of 189 proteins have been identified and correlated with 104 genes from the P. aeruginosa genome. Annotated membrane proteins could be grouped into three distinct categories: (i) those with functions previously characterised in P. aeruginosa (38%); (ii) those with significant sequence similarity to proteins with assigned function or hypothetical proteins in other organisms (46%); and (iii) those with unknown function (16%). Transmembrane prediction algorithms showed that each identified protein sequence contained at least one membrane-spanning region. Furthermore, the current methodology used to isolate the membrane fraction was shown to be highly specific since no contaminating cytosolic proteins were characterised. Preliminary analysis showed that at least 15 gel spots may be glycosylated in vivo, including three proteins that have not previously been functionally characterised. The reference map of membrane proteins from this organism is now the basis for determining surface molecules associated with antibiotic resistance and efflux, cell-cell signalling and pathogen-host interactions in a variety of P. aeruginosa strains.

Sequencing of three lambda clones from the genome of alkaliphilic Bacillus sp. strain C-125.

The nucleotide sequences of three independent fragments (designated no. 3, 4, and 9; each 15-20 kb in size) of the genome of alkaliphilic Bacillus sp. C-125 cloned in a lambda phage vector have been determined. Thirteen putative open reading frames (ORFs) were identified in sequenced fragment no. 3 and 11 ORFs were identified in no. 4. Twenty ORFs were also identified in fragment no. 9. All putative ORFs were analyzed in comparison with the BSORF database and non-redundant protein databases. The functions of 5 ORFs in fragment no. 3 and 3 ORFs in fragment no. 4 were suggested by their significant similarities to known proteins in the database. Among the 20 ORFs in fragment no. 9, the functions of 11 ORFs were similarly suggested. Most of the annotated ORFs in the DNA fragments of the genome of alkaliphilic Bacillus sp. C-125 were conserved in the Bacillus subtilis genome. The organization of ORFs in the genome of strain C-125 was found to differ from the order of genes in the chromosome of B. subtilis, although some gene clusters (ydh, yqi, yer, and yts) were conserved as operon units the same as in B. subtilis.