Early predictive biomarkers for postpartum depression point to a role for estrogen receptor signaling.

BACKGROUND: Postpartum depression (PPD) affects approximately 13% of women and has a negative impact on mother and infant, hence reliable biological tests for early detection of PPD are essential. We aimed to identify robust predictive biomarkers for PPD using peripheral blood gene expression profiles in a hypothesis-free genome-wide study in a high-risk, longitudinal cohort. METHOD: We performed a genome-wide association study in a longitudinal discovery cohort comprising 62 women with psychopathology. Gene expression and hormones were measured in the first and third pregnancy trimesters and early postpartum (201 samples). The replication cohort comprised 24 women with third pregnancy trimester gene expression measures. Gene expression was measured on Illumina-Human HT12 v4 microarrays. Plasma estradiol and estriol were measured. Statistical analysis was performed in R. RESULTS: We identified 116 transcripts differentially expressed between the PPD and euthymic women during the third trimester that allowed prediction of PPD with an accuracy of 88% in both discovery and replication cohorts. Within these transcripts, significant enrichment of transcripts implicated that estrogen signaling was observed and such enrichment was also evident when analysing published gene expression data predicting PPD from a non-risk cohort. While plasma estrogen levels were not different across groups, women with PPD displayed an increased sensitivity to estrogen signaling, confirming the previously proposed hypothesis of increased sex-steroid sensitivity as a susceptibility factor for PPD. CONCLUSIONS: These results suggest that PPD can be robustly predicted in currently euthymic women as early as the third trimester and these findings have implications for predictive testing of high-risk women and prevention and treatment for PPD.

Rapid access to genes of biotechnologically useful enzymes by partial genome sequencing: the thermoalkaliphile Anaerobranca gottschalkii.

Anaerobranca gottschalkii strain LBS3 T is an extremophile living at high temperature (up to 65 degrees C) and in alkaline environments (up to pH 10.5). An assembly of 696 DNA contigs representing about 96% of the 2.26-Mbp genome of A. gottschalkii has been generated with a low-sequence-coverage shotgun-sequencing strategy. The chosen sequencing strategy provided rapid and economical access to genes encoding key enzymes of the mono- and polysaccharide metabolism, without dilution of spare resources for extensive sequencing of genes lacking potential economical value. Five of these amylolytic enzymes of considerable commercial interest for biotechnological applications have been expressed and characterized in more detail after identification of their genes in the partial genome sequence: type I pullulanase, cyclodextrin glycosyltransferase (CGTase), two alpha-amylases (AmyA and AmyB), and an alpha-1,4-glucan-branching enzyme.

Evolution in the laboratory: the genome of Halobacterium salinarum strain R1 compared to that of strain NRC-1.

We report the sequence of the Halobacterium salinarum strain R1 chromosome and its four megaplasmids. Our set of protein-coding genes is supported by extensive proteomic and sequence homology data. The structures of the plasmids, which show three large-scale duplications (adding up to 100 kb), were unequivocally confirmed by cosmid analysis. The chromosome of strain R1 is completely colinear and virtually identical to that of strain NRC-1. Correlation of the plasmid sequences revealed 210 kb of sequence that occurs only in strain R1. The remaining 350 kb shows virtual sequence identity in the two strains. Nevertheless, the number and overall structure of the plasmids are largely incompatible. Also, 20% of the protein sequences differ despite the near identity at the DNA sequence level. Finally, we report genome-wide mobility data for insertion sequences from which we conclude that strains R1 and NRC-1 originate from the same natural isolate. This exemplifies evolution in the laboratory.

MIPS: analysis and annotation of genome information in 2007.

The Munich Information Center for Protein Sequences (MIPS-GSF, Neuherberg, Germany) combines automatic processing of large amounts of sequences with manual annotation of selected model genomes. Due to the massive growth of the available data, the depth of annotation varies widely between independent databases. Also, the criteria for the transfer of information from known to orthologous sequences are diverse. To cope with the task of global in-depth genome annotation has become unfeasible. Therefore, our efforts are dedicated to three levels of annotation: (i) the curation of selected genomes, in particular from fungal and plant taxa (e.g. CYGD, MNCDB, MatDB), (ii) the comprehensive, consistent, automatic annotation employing exhaustive methods for the computation of sequence similarities and sequence-related attributes as well as the classification of individual sequences (SIMAP, PEDANT and FunCat) and (iii) the compilation of manually curated databases for protein interactions based on scrutinized information from the literature to serve as an accepted set of reliable annotated interaction data (MPACT, MPPI, CORUM). All databases and tools described as well as the detailed descriptions of our projects can be accessed through the MIPS web server (http://mips.gsf.de).

MIPS: analysis and annotation of proteins from whole genomes in 2005.

The Munich Information Center for Protein Sequences (MIPS at the GSF), Neuherberg, Germany, provides resources related to genome information. Manually curated databases for several reference organisms are maintained. Several of these databases are described elsewhere in this and other recent NAR database issues. In a complementary effort, a comprehensive set of >400 genomes automatically annotated with the PEDANT system are maintained. The main goal of our current work on creating and maintaining genome databases is to extend gene centered information to information on interactions within a generic comprehensive framework. We have concentrated our efforts along three lines (i) the development of suitable comprehensive data structures and database technology, communication and query tools to include a wide range of different types of information enabling the representation of complex information such as functional modules or networks Genome Research Environment System, (ii) the development of databases covering computable information such as the basic evolutionary relations among all genes, namely SIMAP, the sequence similarity matrix and the CABiNet network analysis framework and (iii) the compilation and manual annotation of information related to interactions such as protein-protein interactions or other types of relations (e.g. MPCDB, MPPI, CYGD). All databases described and the detailed descriptions of our projects can be accessed through the MIPS WWW server (http://mips.gsf.de).

MitoP2: the mitochondrial proteome database--now including mouse data.

The MitoP2 database (http://www.mitop.de) integrates information on mitochondrial proteins, their molecular functions and associated diseases. The central database features are manually annotated reference proteins localized or functionally associated with mitochondria supplied for yeast, human and mouse. MitoP2 enables (i) the identification of putative orthologous proteins between these species to study evolutionarily conserved functions and pathways; (ii) the integration of data from systematic genome-wide studies such as proteomics and deletion phenotype screening; (iii) the prediction of novel mitochondrial proteins using data integration and the assignment of evidence scores; and (iv) systematic searches that aim to find the genes that underlie common and rare mitochondrial diseases. The data and analysis files are referenced to data sources in PubMed and other online databases and can be easily downloaded. MitoP2 users can explore the relationship between mitochondrial dysfunctions and disease and utilize this information to conduct systems biology approaches on mitochondria.

The genome of Desulfotalea psychrophila, a sulfate-reducing bacterium from permanently cold Arctic sediments.

Desulfotalea psychrophila is a marine sulfate-reducing delta-proteobacterium that is able to grow at in situ temperatures below 0 degrees C. As abundant members of the microbial community in permanently cold marine sediments, D. psychrophila-like bacteria contribute to the global cycles of carbon and sulfur. Here, we describe the genome sequence of D. psychrophila strain LSv54, which consists of a 3 523 383 bp circular chromosome with 3118 predicted genes and two plasmids of 121 586 bp and 14 663 bp. Analysis of the genome gave insight into the metabolic properties of the organism, e.g. the presence of TRAP-T systems as a major route for the uptake of C(4)-dicarboxylates, the unexpected presence of genes from the TCA cycle, a TAT secretion system, the lack of a beta-oxidation complex and typical Desulfovibrio cytochromes, such as c(553), c(3) and ncc. D. psychrophila encodes more than 30 two-component regulatory systems, including a new Ntr subcluster of hybrid kinases, nine putative cold shock proteins and nine potentially cold shock-inducible proteins. A comparison of D. psychrophila's genome features with those of the only other published genome from a sulfate reducer, the hyperthermophilic archaeon Archaeoglobus fulgidus, revealed many striking differences, but only a few shared features.

MIPS: analysis and annotation of proteins from whole genomes.

The Munich Information Center for Protein Sequences (MIPS-GSF), Neuherberg, Germany, provides protein sequence-related information based on whole-genome analysis. The main focus of the work is directed toward the systematic organization of sequence-related attributes as gathered by a variety of algorithms, primary information from experimental data together with information compiled from the scientific literature. MIPS maintains automatically generated and manually annotated genome-specific databases, develops systematic classification schemes for the functional annotation of protein sequences and provides tools for the comprehensive analysis of protein sequences. This report updates the information on the yeast genome (CYGD), the Neurospora crassa genome (MNCDB), the database of complete cDNAs (German Human Genome Project, NGFN), the database of mammalian protein-protein interactions (MPPI), the database of FASTA homologies (SIMAP), and the interface for the fast retrieval of protein-associated information (QUIPOS). The Arabidopsis thaliana database, the rice database, the plant EST databases (MATDB, MOsDB, SPUTNIK), as well as the databases for the comprehensive set of genomes (PEDANT genomes) are described elsewhere in the 2003 and 2004 NAR database issues, respectively. All databases described, and the detailed descriptions of our projects can be accessed through the MIPS web server (http://mips.gsf.de).

The Chaperones of the archaeon Thermoplasma acidophilum.

Chaperonesare an essential component of a cell's ability to respond to environmental challenges. Chaperones have been studied primarily in bacteria, but in recent years it has become apparent that some classes of chaperones either are very divergent in bacteria relative to archaea and eukaryotes or are missing entirely. In contrast, a high degree of similarity was found between the chaperonins of archaea and those of the eukaryotic cytosol, which has led to the establishment of archaeal model systems. The archaeon most extensively used for such studies is Thermoplasma acidophilum, which thrives at 59 degrees C and pH 2. Here we review information on its chaperone complement in light of the recently determined genome sequence.

The genome sequence of the thermoacidophilic scavenger Thermoplasma acidophilum.

Thermoplasma acidophilum is a thermoacidophilic archaeon that thrives at 59 degrees C and pH 2, which was isolated from self-heating coal refuse piles and solfatara fields. Species of the genus Thermoplasma do not possess a rigid cell wall, but are only delimited by a plasma membrane. Many macromolecular assemblies from Thermoplasma, primarily proteases and chaperones, have been pivotal in elucidating the structure and function of their more complex eukaryotic homologues. Our interest in protein folding and degradation led us to seek a more complete representation of the proteins involved in these pathways by determining the genome sequence of the organism. Here we have sequenced the 1,564,905-base-pair genome in just 7,855 sequencing reactions by using a new strategy. The 1,509 open reading frames identify Thermoplasma as a typical euryarchaeon with a substantial complement of bacteria-related genes; however, evidence indicates that there has been much lateral gene transfer between Thermoplasma and Sulfolobus solfataricus, a phylogenetically distant crenarchaeon inhabiting the same environment. At least 252 open reading frames, including a complete protein degradation pathway and various transport proteins, resemble Sulfolobus proteins most closely.

Proteasome function is dispensable under normal but not under heat shock conditions in Thermoplasma acidophilum.

Hitherto the biology of proteolysis in prokaryotes, particularly in archaea, is only poorly understood. We have used the tri-peptide vinyl sulfone inhibitor carboxybenzyl-leucyl-leucyl-leucine vinyl sulfone (Z-L3VS) to study the in vivo function of proteasomes in Thermoplasma acidophilum. Z-L3VS is a potent inhibitor of the Thermoplasma proteasome and is capable of modifying 75 to 80% of the proteasomal beta-subunits in cell cultures. Inhibition of proteasomes has only marginal effects under normal growth conditions. Under heat shock conditions, however, the effects of proteasome inhibition are much more severe, to the extent of complete cell growth arrest. These data suggest that other proteolytic systems may exist that can compensate for the loss of proteasome function in T. acidophilum.

A 71-kDa protein from Halobacterium salinarium belongs to a ubiquitous P-loop ATPase superfamily with head-rod-tail structure.

The nucleotide sequence of a genomic fragment from Halobacterium salinarium containing an open reading frame encoding a protein with a calculated molecular mass of 71 kDa was determined. Database searches revealed that this protein, Hp71, has similarities to eukaryotic cytoskeletal proteins. Heterologous production of Hp71 in Escherichia coli allowed the isolation of anti-Hp71 antibodies. The antibodies were used (1) to verify the production of Hp71 in H. salinarium and (2) to determine its cytoplasmic localization by immune electron microscopy. Homologous overproduction of Hp71 in H. salinarium and heterologous production in Haloferax volcanii resulted in modifications of cell morphology from rods to extended rods, and from pleiomorphic cells to rods, respectively. Structure prediction methods indicated that Hp71 has a head-rod-tail configuration, including an N-terminal domain with a nucleotide binding motif (P-loop), and an extended discontinuous coiled-coil domain of 330 amino acids. To identify related proteins, the complete genomes of Haemophilus influenzae, Mycoplasma genitalium, and Methanococcus jannaschii were searched for deduced proteins with extended coiled-coil domains. Only one or two proteins were found for each organism, showing that Hp71 is one of only a few prokaryotic intracellular proteins with extended coiled-coil domains. The phenotype upon overproduction and the similarity of Hp71 to the SMC superfamily of P-loop head-rod-tail proteins (named after SMC1, which is involved in the "stability of minichromosomes" in yeast) indicate that Hp71 might be involved in cytoskeleton formation and/or chromosome partitioning in H. salinarium.

Fermentative arginine degradation in Halobacterium salinarium (formerly Halobacterium halobium): genes, gene products, and transcripts of the arcRACB gene cluster.

Fermentative growth via the arginine deiminase pathway is mediated by the enzymes arginine deiminase, carbamate kinase, and catabolic ornithine transcarbamylase and by a membrane-bound arginine-ornithine antiporter. Recently we reported the characterization of catabolic ornithine transcarbamylase and the corresponding gene, arcB, from Halobacterium salinarium (formerly Halobacterium halobium). Upstream of the arcB gene, three additional open reading frames with halobacterial codon usage were found. They were identified as the arcC gene coding for carbamate kinase, the arcA gene coding for arginine deiminase, and a gene, tentatively termed arcR, coding for a putative regulatory protein. The identification of the arcC and arcA genes was verified, respectively, by heterologous expression of the enzyme in Haloferax volcanii and by protein isolation and N-terminal sequence determination of three peptides. The gene order arcRACB differs from the gene order arcDABC in Pseudomonas aeruginosa, the only other organism for which sequence information is available. Transcripts from H. salinarium cultures grown fermentatively or aerobically were characterized by Northern (RNA) blot and primer extension analyses. It was determined (i) that monocistronic transcripts corresponding to the four open reading frames exist and that there are three polycistronic transcripts, (ii) that the level of induction during fermentative growth differs for the various transcripts, and (iii) that upstream of the putative transcriptional start sites for the three structural genes there are sequences with similarities to the halobacterial consensus promoter. The data indicate that expression of the arc gene cluster and its regulation differ in H. salinarium and P. aeruginosa.

Catabolic ornithine transcarbamylase of Halobacterium halobium (salinarium): purification, characterization, sequence determination, and evolution.

Halobacterium halobium (salinarium) is able to grow fermentatively via the arginine deiminase pathway, which is mediated by three enzymes and one membrane-bound arginine-ornithine antiporter. One of the enzymes, catabolic ornithine transcarbamylase (cOTCase), was purified from fermentatively grown cultures by gel filtration and ammonium sulfate-mediated hydrophobic chromatography. It consists of a single type of subunit with an apparent molecular mass of 41 kDa. As is common for proteins of halophilic Archaea, the cOTCase is unstable below 1 M salt. In contrast to the cOTCase from Pseudomonas aeruginosa, the halophilic enzyme exhibits Michaelis-Menten kinetics with both carbamylphosphate and ornithine as substrates with Km values of 0.4 and 8 mM, respectively. The N-terminal sequences of the protein and four peptides were determined, comprising about 30% of the polypeptide. The sequence information was used to clone and sequence the corresponding gene, argB. It codes for a polypeptide of 295 amino acids with a calculated molecular mass of 32 kDa and an amino acid composition which is typical of halophilic proteins. The native molecular mass was determined to be 200 kDa, and therefore the cOTCase is a hexamer of identical subunits. The deduced protein sequence was compared to the cOTCase of P. aeruginosa and 14 anabolic OTCases, and a phylogenetic tree was constructed. The halobacterial cOTCase is more distantly related to the cOTCase than to the anabolic OTCase of P. aeruginosa. It is found in a group with the anabolic OTCases of Bacillus subtilis, P. aeruginosa, and Mycobacterium bovis.