The expression pattern of dormancy-associated genes in multiple life-history stages in the rotifer Brachionus plicatilis

Rotifer resting eggs retain their viability for several decades in a non-desiccated form and are of interest in discerning the processes associated with dormancy, since in most organisms this phenomenon is linked with desiccation. The expression pattern of candidate genes with biological functions associated with dormancy in several other organisms was examined in rotifers. High-throughput transcriptome profiling revealed three patterns of gene expression in resting eggs: (1) relatively highly expressed genes coding for LEA proteins and putative paralogs of the small heat shock protein family (shsp); (2) genes coding for ferritin (ferr), glutathione-6-transferase (gts) and HSP70, where some of the putative gene paralogs of these families show relatively high expression levels and other putative paralogs show relatively low expression levels in resting eggs; and (3) genes with relatively low expression levels in resting eggs, for trehalose-6-phosphate synthase (tps), fatty-acid binding proteins (fab) and of lipoprotein lipase (lpl) and the aquaporins gene family (aqp). Changes in the expression pattern of some members of putative gene families occurred during the obligatory dormant period of resting eggs. A transition was observed from an expression pattern of diapausing embryos to an expression pattern of amictic females, during hatching. Differences were also found in the expression pattern in the different types of females, especially in those carrying resting eggs, and in males compared with females. These results suggest putative functional significance to genes associated with dormancy in non-desiccated resting eggs. It could also be proposed that their occurrence in resting eggs is developmentally programmed to facilitate survival in case of desiccation

Pathway deregulation and expression QTLs in response to Actinobacillus pleuropneumoniae infection in swine

Actinobacillus (A.) pleuropneumoniae is among the most important pathogens in pig. The agent causes severe economic losses due to decreased performance, the occurrence of acute or chronic pleuropneumonia, and an increase in death incidence. Since therapeutics cannot be used in a sustainable manner, and vaccination is not always available, new prophylactic measures are urgently needed. Recent research has provided evidence for a genetic predisposition in susceptibility to A. pleuropneumoniae in a Hampshire × German Landrace F2 family with 170 animals. The aim of the present study is to characterize the expression response in this family in order to unravel resistance and susceptibility mechanisms and to prioritize candidate genes for future fine mapping approaches. F2 pigs differed distinctly in clinical, pathological, and microbiological parameters after challenge with A. pleuropneumoniae. We monitored genome-wide gene expression from the 50 most and 50 least susceptible F2 pigs and identified 171 genes differentially expressed between these extreme phenotypes. We combined expression QTL analyses with network analyses and functional characterization using gene set enrichment analysis and identified a functional hotspot on SSC13, including 55 eQTL. The integration of the different results provides a resource for candidate prioritization for fine mapping strategies, such as TF, TFRC, RUNX1, TCN1, HP, CD14, among others

RA-specific expression profiles and new candidate genes

Objective: To identify rheumatoid arthritis- (RA)-specific profiles of differentially expressed genes. Methods: Synovial tissues from RA and osteoarthritis (OA) patients and from normal joints were selected according to their disease-characteristic histology. Gene expression was analyzed using DNA microarrays (GeneChip; Unigene-array) and representational difference analysis (RDA). Data were validated on larger cohorts of patients by RT-PCR. Results: Nine hundred and eighty genes were significantly regulated in RA synovial tissue as compared with non-RA. Specialized cluster analysis identified a set of 312 genes as sufficient of unequivocally discriminating RA from non-RA patterns (class discovery). Genes of highest regulation were associated with leukocyte activation (chemokines, chemokine receptors, B- and T-cell genes), endothelial and angiogenic activation, tissue destruction and remodelling [MMP-3, BMP-4, TIMPs]. Interestingly, a large set of genes was down-regulated in RA (TGF-β superfamily, apoptosis-related genes, transcription factors). Osteopontin-like genes (n=46) — up-regulated in RA — and glutathione peroxidase-3-like genes (n=85) — down-regulated in RA — yielded the highest correlation coefficients (>0.94). Megakaryocyte stimulating factor (MSF), down-regulated in a subset of RA, may hold the key to subclassification: a loss-of-function mutation in the MSF-encoding gene leads to synovial hyperplasia in camptodactyly–arthropathy–coxa vara–pericarditis syndrome, and, as in RA, also to pericardial involvement. A further candidate, vitamin-D3-up-regulated protein-1 (VDUP-1), is regulated like MSF and predisposes to premature coronary artery disease when mutated, again a feature of a subset of RA. Conclusion: RA specific gene profiles were identified and are useful to improve diagnostics of the disease. Novel gene candidates not yet in the focus of RA pathogenesis have been identified that are likely to further the understanding of RA

Oligonucleotide fingerprinting of arrayed genomic DNA sequences using LNA-modified hybridization probes

Recently, we established a robust method for the detection of hybridization events using a DNA microarray deposited on a nanoporous membrane. Here, in a follow-up study, we demonstrate the performance of this approach on a larger set of LNA-modified oligoprobes and genomic DNA sequences. Twenty-six different LNA-modified 7-mer oligoprobes were hybridized to a set of 66 randomly selected human genomic DNA clones spotted on a nanoporous membrane slide. Subsequently, assay sensitivity analysis was performed using receiver operating characteristic (ROC) curves. Comparison of LNA-modified heptamers and DNA heptamers revealed that the LNA modification clearly improved sensitivity and specificity of hybridization experiment. Clustering analysis was applied in order to test practical performance of hybridization experiments with LNA-modified oligoprobes in recognizing similarity of genomic DNA sequences. Comparing the results with the theoretical sequence clusters, we conclude that the application of LNA-modified oligoprobes allows for reliable clustering of DNA sequences which reflects the underlying sequence homology. Our results show that LNA-modified oligoprobes can be used effectively to unravel sequence similarity of DNA sequences and thus, to characterize the content of unknown DNA libraries

PNAS

In a specialized cDNA library from the archaeon Archaeoglobus fulgidus we have identified a total of 86 different expressed RNA sequences potentially encoding previously uncharacterized small non-messenger RNA (snmRNA) species. Ten of these RNAs resemble eukaryotic small nucleolar RNAs, which guide rRNA 2'-O-methylations (C/D-box type) and pseudouridylations (H/ACA-box type). Thereby, we identified four candidates for H/ACA small RNAs in an archaeal species that are predicted to guide a total of six rRNA pseudouridylations. Furthermore, we have verified the presence of the six predicted pseudouridines experimentally. We demonstrate that 22 snmRNAs are transcribed from a family of short tandem repeats conserved in most archaeal genomes and shown previously to be potentially involved in replicon partitioning. In addition, four snmRNAs derived from the rRNA operon of A. fulgidus were identified and shown to be generated by a splicing/processing pathway of pre-rRNAs. The remaining 50 RNAs could not be assigned to a known class of snmRNAs because of the lack of known structure and/or sequence motifs. Regarding their location on the genome, only nine were located in intergenic regions, whereas 33 were complementary to an ORF, five were overlapping an ORF, and three were derived from the sense orientation within an ORF. Our study further supports the importance of snmRNAs in all three domains of life

Identification of QTL affecting resistance/susceptibility to acute Actinobacillus pleuropneumoniae infection in swine

Actinobacillus pleuropneumoniae is among the most important pathogens worldwide in pig production. The agent can cause severe economic losses due to decreased performance, acute or chronic pleuropneumonia and an increased incidence of death. Therapeutics cannot be used in a sustainable manner, and vaccination is not always available, but discovering more about host defence and disease mechanisms might lead to new methods of prophylaxis. The aim of the present study was to detect quantitative trait loci (QTL) associated with resistance/susceptibility to A. pleuropneumoniae. Under controlled conditions, 170 F2 animals of a Hampshire/Landrace family, with known differences in founder populations regarding A. pleuropneumoniae resistance, were challenged with an A. pleuropneumoniae serotype 7 aerosol followed by a detailed clinical, radiographic, ultrasonographic, pathological and bacteriological examination. F2 pigs were genotyped with 159 microsatellite markers. Significant QTL were identified on Sus scrofa chromosomes (SSC) 2, 6, 12, 13, 16, 17 and 18. They explained 6–22 % of phenotypic variance. One QTL on SSC2 reached significance on a genome-wide level for five associated phenotypic traits. A multiple regression analysis revealed a combinatory effect of markers SWR345 (SSC2) and S0143 (SSC12) on Respiratory Health Score, Clinical Score and the occurrence of death. The results indicate the genetic background of A. pleuropneumoniae resistance in swine and provide new insights into the genetic architecture of resistance/susceptibility to porcine pleuropneumonia. The results will be helpful in identifying the underlying genes and mechanisms

Construction of a 'unigene' cDNA clone set by oligonucleotide fingerprinting allows access to 25 000 potential sugar beet genes

Herwig R, Schulz B, Weisshaar B, et al. Construction of a 'unigene' cDNA clone set by oligonucleotide fingerprinting allows access to 25 000 potential sugar beet genes. The Plant Journal. 2002;32(5):845-857.Access to the complete gene inventory of an organism is crucial to understanding physiological processes like development, differentiation, pathogenesis, or adaptation to the environment. Transcripts from many active genes are present at low copy numbers. Therefore, procedures that rely on random EST sequencing or on normalisation and subtraction methods have to produce massively redundant data to get access to low-abundance genes. Here, we present an improved oligonucleotide fingerprinting (ofp) approach to the genome of sugar beet (Beta vulgaris), a plant for which practically no molecular information has been available. To identify distinct genes and to provide a representative 'unigene' cDNA set for sugar beet, 159 936 cDNA clones were processed utilizing large-scale, high-throughput data generation and analysis methods. Data analysis yielded 30 444 ofp clusters reflecting the number of different genes in the original cDNA sample. A sample of 10 961 cDNA clones, each representing a different cluster, were selected for sequencing. Standard sequence analysis confirmed that 89% of these EST sequences did represent different genes. These results indicate that the full set of 30 444 ofp clusters represent up to 25 000 genes. We conclude that the ofp analysis pipeline is an accurate and effective way to construct large representative 'unigene' sets for any plant of interest with no requirement for prior molecular sequence data

Physiol Genomics

Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover pathomechanisms, we performed genome-wide gene expression analysis. We identified a set of 1054 genes significantly deregulated in pair-wise comparisons between RA and osteoarthritis (OA) patients, RA and normal donors (ND), or OA and ND. Correlation analysis revealed gene sets regulated identically in all three groups. As a prominent example secreted phosphoprotein 1 (SPP1) was identified to be significantly upregulated in RA as compared to both OA and ND. SPP1 expression was found to correlate with genes expressed during an inflammatory response, T cell activation and apoptosis, suggesting common underlying regulatory networks. A sub-classification of RA patients was achieved on the basis of proteoglycan 4 (PRG4) expression distinguishing PRG4 high- and low expressors and reflecting the heterogeneity of the disease. In addition, we found that low PRG4 expression was associated with a more aggressive disease stage, which is in accordance with PRG4 loss-of-function mutations causing camptodactyly-arthropathy-coxa vara-pericarditis syndrome. Altogether we provide evidence for molecular signatures of RA and RA subclasses, sets of new candidate genes as well as for candidate gene networks, which extend our understanding of disease mechanisms and may lead to an improved diagnosis

Identification of 86 candidates for small non-messenger RNAs from the archaeon Archaeoglobus fulgidus

In a specialized cDNA library from the archaeon Archaeoglobus fulgidus we have identified a total of 86 different expressed RNA sequences potentially encoding previously uncharacterized small non-messenger RNA (snmRNA) species. Ten of these RNAs resemble eukaryotic small nucleolar RNAs, which guide rRNA 2′-O-methylations (C/D-box type) and pseudouridylations (H/ACA-box type). Thereby, we identified four candidates for H/ACA small RNAs in an archaeal species that are predicted to guide a total of six rRNA pseudouridylations. Furthermore, we have verified the presence of the six predicted pseudouridines experimentally. We demonstrate that 22 snmRNAs are transcribed from a family of short tandem repeats conserved in most archaeal genomes and shown previously to be potentially involved in replicon partitioning. In addition, four snmRNAs derived from the rRNA operon of A. fulgidus were identified and shown to be generated by a splicing/processing pathway of pre-rRNAs. The remaining 50 RNAs could not be assigned to a known class of snmRNAs because of the lack of known structure and/or sequence motifs. Regarding their location on the genome, only nine were located in intergenic regions, whereas 33 were complementary to an ORF, five were overlapping an ORF, and three were derived from the sense orientation within an ORF. Our study further supports the importance of snmRNAs in all three domains of life