High throughput sequencing and proteomics to identify immunogenic proteins of a new pathogen: the dirty genome approach.

With the availability of new generation sequencing technologies, bacterial genome projects have undergone a major boost. Still, chromosome completion needs a costly and time-consuming gap closure, especially when containing highly repetitive elements. However, incomplete genome data may be sufficiently informative to derive the pursued information. For emerging pathogens, i.e. newly identified pathogens, lack of release of genome data during gap closure stage is clearly medically counterproductive. We thus investigated the feasibility of a dirty genome approach, i.e. the release of unfinished genome sequences to develop serological diagnostic tools. We showed that almost the whole genome sequence of the emerging pathogen Parachlamydia acanthamoebae was retrieved even with relatively short reads from Genome Sequencer 20 and Solexa. The bacterial proteome was analyzed to select immunogenic proteins, which were then expressed and used to elaborate the first steps of an ELISA. This work constitutes the proof of principle for a dirty genome approach, i.e. the use of unfinished genome sequences of pathogenic bacteria, coupled with proteomics to rapidly identify new immunogenic proteins useful to develop in the future specific diagnostic tests such as ELISA, immunohistochemistry and direct antigen detection. Although applied here to an emerging pathogen, this combined dirty genome sequencing/proteomic approach may be used for any pathogen for which better diagnostics are needed. These genome sequences may also be very useful to develop DNA based diagnostic tests. All these diagnostic tools will allow further evaluations of the pathogenic potential of this obligate intracellular bacterium.

MIMAS 3.0 is a Multiomics Information Management and Annotation System.

BACKGROUND: DNA sequence integrity, mRNA concentrations and protein-DNA interactions have been subject to genome-wide analyses based on microarrays with ever increasing efficiency and reliability over the past fifteen years. However, very recently novel technologies for Ultra High-Throughput DNA Sequencing (UHTS) have been harnessed to study these phenomena with unprecedented precision. As a consequence, the extensive bioinformatics environment available for array data management, analysis, interpretation and publication must be extended to include these novel sequencing data types. DESCRIPTION: MIMAS was originally conceived as a simple, convenient and local Microarray Information Management and Annotation System focused on GeneChips for expression profiling studies. MIMAS 3.0 enables users to manage data from high-density oligonucleotide SNP Chips, expression arrays (both 3'UTR and tiling) and promoter arrays, BeadArrays as well as UHTS data using MIAME-compliant standardized vocabulary. Importantly, researchers can export data in MAGE-TAB format and upload them to the EBI's ArrayExpress certified data repository using a one-step procedure. CONCLUSION: We have vastly extended the capability of the system such that it processes the data output of six types of GeneChips (Affymetrix), two different BeadArrays for mRNA and miRNA (Illumina) and the Genome Analyzer (a popular Ultra-High Throughput DNA Sequencer, Illumina), without compromising on its flexibility and user-friendliness. MIMAS, appropriately renamed into Multiomics Information Management and Annotation System, is currently used by scientists working in approximately 50 academic laboratories and genomics platforms in Switzerland and France. MIMAS 3.0 is freely available via http://multiomics.sourceforge.net/.

New respiratory enterovirus and recombinant rhinoviruses among circulating picornaviruses.

Rhinoviruses and enteroviruses are leading causes of respiratory infections. To evaluate genotypic diversity and identify forces shaping picornavirus evolution, we screened persons with respiratory illnesses by using rhinovirus-specific or generic real-time PCR assays. We then sequenced the 5 untranslated region, capsid protein VP1, and protease precursor 3CD regions of virus-positive samples. Subsequent phylogenetic analysis identified the large genotypic diversity of rhinoviruses circulating in humans. We identified and completed the genome sequence of a new enterovirus genotype associated with respiratory symptoms and acute otitis media, confirming the close relationship between rhinoviruses and enteroviruses and the need to detect both viruses in respiratory specimens. Finally, we identified recombinants among circulating rhinoviruses and mapped their recombination sites, thereby demonstrating that rhinoviruses can recombine in their natural host. This study clarifies the diversity and explains the reasons for evolution of these viruses.

MyHits: a new interactive resource for protein annotation and domain identification.

The MyHits web server (http://myhits.isb-sib.ch) is a new integrated service dedicated to the annotation of protein sequences and to the analysis of their domains and signatures. Guest users can use the system anonymously, with full access to (i) standard bioinformatics programs (e.g. PSI-BLAST, ClustalW, T-Coffee, Jalview); (ii) a large number of protein sequence databases, including standard (Swiss-Prot, TrEMBL) and locally developed databases (splice variants); (iii) databases of protein motifs (Prosite, Interpro); (iv) a precomputed list of matches ('hits') between the sequence and motif databases. All databases are updated on a weekly basis and the hit list is kept up to date incrementally. The MyHits server also includes a new collection of tools to generate graphical representations of pairwise and multiple sequence alignments including their annotated features. Free registration enables users to upload their own sequences and motifs to private databases. These are then made available through the same web interface and the same set of analytical tools. Registered users can manage their own sequences and annotations using only web tools and freeze their data in their private database for publication purposes.

Gene expression databases and data mining.

The DNA microarray technology has arguably caught the attention of the worldwide life science community and is now systematically supporting major discoveries in many fields of study. The majority of the initial technical challenges of conducting experiments are being resolved, only to be replaced with new informatics hurdles, including statistical analysis, data visualization, interpretation, and storage. Two systems of databases, one containing expression data and one containing annotation data are quickly becoming essential knowledge repositories of the research community. This present paper surveys several databases, which are considered "pillars" of research and important nodes in the network. This paper focuses on a generalized workflow scheme typical for microarray experiments using two examples related to cancer research. The workflow is used to reference appropriate databases and tools for each step in the process of array experimentation. Additionally, benefits and drawbacks of current array databases are addressed, and suggestions are made for their improvement.

Interplay between wheat cultivars, biocontrol pseudomonads, and soil.

There is a significant potential to improve the plant-beneficial effects of root-colonizing pseudomonads by breeding wheat genotypes with a greater capacity to sustain interactions with these bacteria. However, the interaction between pseudomonads and crop plants at the cultivar level, as well as the conditions which favor the accumulation of beneficial microorganisms in the wheat rhizosphere, is largely unknown. Therefore, we characterized the three Swiss winter wheat (Triticum aestivum) cultivars Arina, Zinal, and Cimetta for their ability to accumulate naturally occurring plant-beneficial pseudomonads in the rhizosphere. Cultivar performance was measured also by the ability to select for specific genotypes of 2,4-diacetylphloroglucinol (DAPG) producers in two different soils. Cultivar-specific differences were found; however, these were strongly influenced by the soil type. Denaturing gradient gel electrophoresis (DGGE) analysis of fragments of the DAPG biosynthetic gene phlD amplified from natural Pseudomonas rhizosphere populations revealed that phlD diversity substantially varied between the two soils and that there was a cultivar-specific accumulation of certain phlD genotypes in one soil but not in the other. Furthermore, the three cultivars were tested for their ability to benefit from Pseudomonas inoculants. Interestingly, Arina, which was best protected against Pythium ultimum infection by inoculation with Pseudomonas fluorescens biocontrol strain CHA0, was the cultivar which profited the least from the bacterial inoculant in terms of plant growth promotion in the absence of the pathogen. Knowledge gained of the interactions between wheat cultivars, beneficial pseudomonads, and soil types allows us to optimize cultivar-soil combinations for the promotion of growth through beneficial pseudomonads. Additionally, this information can be implemented by breeders into a new and unique breeding strategy for low-input and organic conditions.

MYC regulation of a "poor-prognosis" metastatic cancer cell state.

Gene expression signatures are used in the clinic as prognostic tools to determine the risk of individual patients with localized breast tumors developing distant metastasis. We lack a clear understanding, however, of whether these correlative biomarkers link to a common biological network that regulates metastasis. We find that the c-MYC oncoprotein coordinately regulates the expression of 13 different "poor-outcome" cancer signatures. In addition, functional inactivation of MYC in human breast cancer cells specifically inhibits distant metastasis in vivo and invasive behavior in vitro of these cells. These results suggest that MYC oncogene activity (as marked by "poor-prognosis" signature expression) may be necessary for the translocation of poor-outcome human breast tumors to distant sites.

Loss of single HLA class I allospecificities in melanoma cells due to selective genomic abbreviations.

Expression of human leucocyte antigen (HLA) Class I molecules is essential for the recognition of malignant melanoma (MM) cells by CD8(+) T lymphocytes. A complete or partial loss of HLA Class I molecules is a potent strategy for MM cells to escape from immunosurveillance. In 2 out of 55 melanoma cell cultures we identified a complete phenotypic loss of HLA allospecificities. Both patients have been treated unsuccessfully with HLA-A2 peptides. To identify the reasons underlying the loss of single HLA-A allospecificities, we searched for genomic alterations at the locus for HLA Class I alpha-chain on chromosome 6 in melanoma cell cultures established from 2 selected patients with MM in advanced stage. This deficiency was associated with alterations of HLA-A2 gene sequences as determined by polymerase chain reaction-sequence specific primers (PCR-SSP). Karyotyping revealed a chromosomal loss in Patient 1, whereas melanoma cell cultures established from Patient 2 displayed 2 copies of chromosome 6. Loss of heterozygosity (LOH) using markers located around position 6p21 was detected in both cases. By applying group-specific primer-mixes spanning the 5'-flanking region of the HLA-A2 gene locus the relevant region was amplified by PCR and subsequent sequencing allowed alignment with the known HLA Class I reference sequences. Functional assays using HLA-A2-restricted cytotoxic T-cell clones were performed in HLA-A2 deficient MM cultures and revealed a drastically reduced susceptibility to CTL lysis in HLA-A2 negative cells. We could document the occurrence of selective HLA-A2 deficiencies in cultured advanced-stage melanoma metastases and identify their molecular causes as genomic alterations within the HLA-A gene locus.

Selecting control genes for RT-QPCR using public microarray data.

Background: Gene expression analysis has emerged as a major biological research area, with real-time quantitative reverse transcription PCR (RT-QPCR) being one of the most accurate and widely used techniques for expression profiling of selected genes. In order to obtain results that are comparable across assays, a stable normalization strategy is required. In general, the normalization of PCR measurements between different samples uses one to several control genes (e. g. housekeeping genes), from which a baseline reference level is constructed. Thus, the choice of the control genes is of utmost importance, yet there is not a generally accepted standard technique for screening a large number of candidates and identifying the best ones. Results: We propose a novel approach for scoring and ranking candidate genes for their suitability as control genes. Our approach relies on publicly available microarray data and allows the combination of multiple data sets originating from different platforms and/or representing different pathologies. The use of microarray data allows the screening of tens of thousands of genes, producing very comprehensive lists of candidates. We also provide two lists of candidate control genes: one which is breast cancer-specific and one with more general applicability. Two genes from the breast cancer list which had not been previously used as control genes are identified and validated by RT-QPCR. Open source R functions are available at http://www.isrec.isb-sib.ch/similar to vpopovic/research/ Conclusion: We proposed a new method for identifying candidate control genes for RT-QPCR which was able to rank thousands of genes according to some predefined suitability criteria and we applied it to the case of breast cancer. We also empirically showed that translating the results from microarray to PCR platform was achievable.

Identification of small RNAs in Pseudomonas species

Summary: Bacterial small RNAs (sRNAs) are transcripts most of which have regulatory functions. Sequence and secondary structure elements enable numerous sRNAs to interact with mRNAs or with regulatory proteins resulting in diverse regulatory effects on virulence, iron storage, organization of cell envelope proteins or stress response. sRNAs having high affinity for RsmA-like RNA-binding proteins are important for posttranscriptional regulation in various Gram-negative bacteria. In Pseudomonas spp., the GacS/GacA two component system positively controls the production of such sRNAs. They titrate RsmA-like proteins and thus overcome translational repression due to these proteins. As a consequence, secondary metabolites can be produced that are implicated in the biocontrol capacity of P. fluorescens or in the virulence of P. aeruginosa. A genome-wide search carried out in P. aeruginosa PAO1 and in closely related Pseudomonas spp. resulted in the identification of 15 genes coding for sRNAs. Eight of these are novel, the remaining seven have previously been observed. Among them, the 1698 sRNA gene was expressed under GacA control, whereas the transcription of 1887 sRNA gene was transcribed under the control of the anaerobic regulator Anr in an oxygen-limited environment. Overexpression of 1698 sRNA in P. fluorescens strain CHAO did not affect the expression of the GacA-regulated hcnA gene (first gene of the operon coding for HCN synthase), indicating that 1698 sRNA is probably not part of the secondary metabolite regulation pathway. The expression of 1698 sRNA was positively regulated by RpoS in both P. aeruginosa PAO 1 and P. ,fluorescens CHAO and appeared to be modulated temporarily by oxidative stress conditions. However, the effect of 1698 sRNA on oxidative stress survival has not yet been established. Hfq protein interacted with 1698 sRNA in vitro and improved 1698 sRNA expression in vivo in P. aeruginosa. In P. fluorescens, GacA and Hfq were both required for expression of rpoS and GacA showed a positively control on the hfq expression; therefore, at least in this organism, GacA control of 1698 sRNA expression may act indirectly via Hfq and RpoS. Different methods were employed to find abase-pairing target for 1698 sRNA. In a proteomic analysis carried out in P. aeruginosa, positive regulation by 1698 sRNA was observed for Soda, the iron-associated superoxide dismutase, an enzyme involved in oxidative stress resistance. A sequence complementary with 1698 sRNA was predicted to be located in the 5' leader of soda mRNA. However, base-pairing between soda mRNA and 1698 sRNA remains to be proven. In conclusion, this work has revealed eight novel sRNAs and novel functions of two sRNAs in Pseudomonas spp. Résumé Les petits ARNs non-codants (sRNAs) produits par les bactéries sont des transcrits ayant pour la plupart des activités régulatrices importantes. Leurs séquences nucléotidiques ainsi que leurs structures secondaires permettent aux sRNAs d'interagir soit avec des RNA messagers (mRNAs), de sorte à modifier l'expression des protéines pour lesquelles ils codent, soit avec des protéines régulatrices liant des rnRNAs, ce qui a pour effet de modifier l'expression de ces mRNAs. Des sRNAs sont impliqués dans diverses voies de régulation, telles que celles qui régissent la virulence, le stockage du fer, l'organisation des protéines de l'enveloppe bactérienne ou la réponse au stress. Chez les Pseudomonas spp., le système à deux composantes GacS/GacA contrôle la production de métabolites secondaires. Ceux-ci sont engagés dans l'établissement du biocontrôle, chez P. fluorescens, ou. de la virulence, chez P. aeruginosa. La régulation génique dirigée par le système GacS/GacA fait intervenir les sRNAs du type RsmZ, capables de contrecarrer l'action au niveau traductionnel exercée par les protéines régulatrices du type RsmA. Une recherche au niveau du génome a été menée chez P. aeruginosa PAO1 de même que chez des espèces qui lui sont étroitement apparentées, débouchant sur la mise en évidence de 15 gènes codant pour des sRNAs. Parmi ceux-ci, huit ont été découverts pour la première fois et sept confirment des travaux publiés. L'expression du gène du sRNAs 1698 s'avère être régulée par GacA, vraisemblablement de manière indirecte. La transcription du gène du sRNA 1887 montre une dépendance envers Anr, régulateur de l'anaérobiose, et envers une carence en oxygène. La surexpression du sRNA 1698 chez P. fluorescens CHAO n'affecte pas l'expression de hcnA, un gène du régulon GacA, laissant supposer que le sRNA n'intervient pas dans la régulation des métabolites secondaires. Chez P. aeruginosa PAOI et chez P. fluorescens CHAO, RpoS, le facteur sigma du stress, est nécessaire à l'expression du sRNA 1698, et la concentration de ce dernier est modulée par des conditions de stress oxydatif. Toutefois, un effet du sRNA 1698 quant à la survie suite au stress oxydatif n'a pas été établi. Par ailleurs, l'interaction entre le sRNA 1698 et Hfq, la protéine chaperone de RNAs, in vitro ainsi qu'un rôle positif de Hfq pour l'expression du sRNA 1698 in vivo ont été démontrés chez P. aeruginosa. L'induction de l'expression par GacA de rpoS et de hfq a été confirmée chez P. fluorescens CHAO, suggérant que la régulation par GacA du sRNA 1698 pourrait se faire par l'intermédiaire de RpoS et Hfq. Diverses méthodes ont été employées pour identifier un transcrit qui puisse être apparié par le sRNA 1698. Une analyse de protéome chez P. aeruginosa montre que l'expression de Soda, la superoxyde dismutase associée au fer, est positivement régulée par le sRNA 1698. Soda est une enzyme impliquée dans la résistance au stress oxydatif. Une séquence de complémentarité avec le sRNA 1698 a bien été prédite sur le leader 5' du mRNA de soda. Cependant, l'appariement entre le sRNA et son transcrit cible est encore à prouver. En conclusion, ce travail a dévoilé huit nouveaux sRNAs et de nouvelles fonctions pour deux sRNAs chez les Pseudomonas.

Suppression of Arabidopsis protophloem differentiation and root meristem growth by CLE45 requires the receptor-like kinase BAM3.

Peptide signaling presumably occupies a central role in plant development, yet only few concrete examples of receptor-ligand pairs that act in the context of specific differentiation processes have been described. Here we report that second-site null mutations in the Arabidopsis leucine-rich repeat receptor-like kinase gene barely any meristem 3 (BAM3) perfectly suppress the postembryonic root meristem growth defect and the associated perturbed protophloem development of the brevis radix (brx) mutant. The roots of bam3 mutants specifically resist growth inhibition by the CLAVATA3/ENDOSPERM SURROUNDING REGION 45 (CLE45) peptide ligand. WT plants transformed with a construct for ectopic overexpression of CLE45 could not be recovered, with the exception of a single severely dwarfed and sterile plant that eventually died. By contrast, we obtained numerous transgenic bam3 mutants transformed with the same construct. These transgenic plants displayed a WT phenotype, however, supporting the notion that CLE45 is the likely BAM3 ligand. The results correlate with the observation that external CLE45 application represses protophloem differentiation in WT, but not in bam3 mutants. BAM3, BRX, and CLE45 are expressed in a similar spatiotemporal trend along the developing protophloem, up to the end of the transition zone. Induction of BAM3 expression upon CLE45 application, ectopic overexpression of BAM3 in brx root meristems, and laser ablation experiments suggest that intertwined regulatory activity of BRX, BAM3, and CLE45 could be involved in the proper transition of protophloem cells from proliferation to differentiation, thereby impinging on postembryonic growth capacity of the root meristem.

The role of CTCFL/BORIS in Meiosis

The complexity of mammalian genome organization demands a complex interplay of DNA and proteins to orchestrate proper gene regulation. CTCF, a highly conserved, ubiquitously expressed protein has been postulated as a primary organizer of genome architecture because of its roles in transcriptional activation/repression, insulation and imprinting. Diverse regulatory functions are exerted through genome wide binding via a central eleven zinc finger DNA binding domain and an array of diverse protein-protein interactions through N- and C- terminal domains. CTCFL has been identified as a paralog of CTCF expressed only in spermatogenic cells of the testis. CTCF and CTCFL have a highly homologous DNA-binding domain, while the flanking amino acid sequences exhibit no significant similarity. Genome- wide mapping of CTCF binding sites has been carried out in many cell types, but no data exist for CTCFL apart from a few identified loci. The lack of high quality antibodies prompted us to generate an endogenously flag-tagged CTCFL mouse model using BAC recombination. IHC staining using anti-flag antibodies confirmed CTCFL localization to type Β spermatogonia and preleptotene spermatocytes and a mutually exclusive pattern of expression with CTCF. ChIP followed by high-throughput sequencing identified 10,382 binding sites showing 70% overlap but representing only 20% of CTCF sites. Consensus sequence analysis identified a significantly longer binding motif with prominently less ambiguity of base calling at every position. The significant difference between CTCF and CTCFL genomic binding patterns proposes that their binding to DNA is differentially regulated. Analysis of CTCFL binding to methylated regions on a genome wide scale identified approximately 1,000 loci. Methylation-independent binding of CTCFL might be at least one of the mechanisms that ensures distinct binding patterns of CTCF and CTCFL since CTCF binding is methylation- sensitive. Co-localization of CTCF with cohesin has been well established and analysis of CTCFL and SMC3 overlap identified around 3,300 binding sites from which two related but distinct consensus sequence motifs were derived. Because virtually all data for cohesin binding originate from mitotically proliferating cells, the anticipated overlap is expected to be considerably higher in meiotic cells. Meiosis-specific cohesin subunit Rec8 is specific for spermatocytes and 6 out of the 12 identified binding sites are also bound by CTCFL. In conclusion, this was the first genome-wide mapping of CTCFL binding sites in spermatocytes, the only cell type where CTCF is not expressed. CTCFL has a unique binding site repertoire distinct from CTCF, binds to methylated sequences and shows a significant overlap with cohesin binding sites. Future efforts will be oriented towards deciphering the role CTCFL plays in conversion of chromatin structure and function from mitotic to meiotic chromosomes. - La complexité de l'organisation du génome des mammifères exige une interaction particulière entre ADN et protéines pour orchestrer une régulation appropriée de l'expression des gènes. CTCFL, une protéine ubiquitaire très conservée, serait le principal organisateur de l'architecture du génome de par son rôle dans l'activation / la répression de la transcription, la protection et la localisation des gènes. Diverses régulations sont opérées, d'une part au travers d'interactions à différents endroits du génome par le biais d'un domaine protéique central de liaison à l'ADN à onze doigts de zinc, et d'autre part par des interactions protéine-protéine variées au niveau de leur domaine N- et C-terminal. CTCFL a été identifié comme un paralogue de CTCF exprimé uniquement dans les cellules spermatiques du testicule. CTCFL et CTCF ont un domaine de liaison à l'ADN très homologue, tandis que les séquences d'acides aminés situées de part et d'autre de ce domaine ne présentent aucune similitude. Une cartographie générale des sites de liaison au CTCF a été réalisée pour de nombreux types cellulaires, mais il n'existe aucune donnée pour CTCFL à l'exception de l'identification de quelques loci. L'absence d'anticorps de bonne qualité nous a conduit à générer un modèle murin portant un CTCFL endogène taggué grâce à un procédé de recombinaison BAC. Une coloration IHC à l'aide d'anticorps anti-FLAG a confirmé la présence de CTCFL au niveau des spermatogonies de type Β et des spermatocytes au stade préleptotène, et une distribution mutuellement exclusive avec CTCF. Une méthode de Chromatine Immunoprecipitation (ChIP) suivie d'un séquençage à haut débit a permis d'identifier 10.382 sites de liaison montrant 70% d'homologie mais ne représentant que 20% des sites CTCF. L'analyse de la séquence consensus révèle un motif de fixation à l'ADN nettement plus long et qui comporte bien moins de bases aléatoires à chaque position nucléotidique. La différence significative entre les séquences génomiques des sites de liaison au CTCF et CTCFL suggère que leur fixation à l'ADN est régulée différemment. Appliquée à l'échelle du génome, l'étude de l'interaction de CTCFL avec des régions méthylées de l'ADN a permis d'identifier environ 1.000 loci. Contrairement à CTCFL, la liaison de CTCF dépend de l'état de méthylation de l'ADN ; cette modification épigénétique constitue donc au moins un des mécanismes de régulation expliquant une localisation de CTCF et CTCFL à des sites distincts du génome. La co- localisation de CTCF avec la cohésine étant établie, l'analyse de la superposition des séquences de CTCFL avec la sous-unité SMC3 identifie environ 3.300 sites de liaison parmi lesquels deux mêmes motifs consensus distincts par leur séquence sont mis en évidence. La presque quasi-totalité des données sur la cohésine ayant été établie à partir de cellules en prolifération mitotique, il est probable que la similitude au sein des séquences consensus soit encore plus grande dans le cas des cellules en méiose. La sous-unité Rec8 de la cohésine propre à l'état de méiose est spécifiquement exprimée dans les spermatocytes. Or 6 des 12 sites de liaison identifiés sont également utilisés par CTCFL. Pour conclure, ce travail constitue la première cartographie à l'échelle du génome des sites de liaison de CTCFL dans les spermatocytes, seul type cellulaire où CTCFL n'est pas exprimé. CTCFL possède un répertoire unique de sites de fixation à l'ADN distinct de CTCF, se lie à des séquences méthylées et présente un nombre important de sites de liaison communs avec la cohésine. Les perspectives futures sont d'élucider le rôle de CTCFL dans le remodelage de la structure de la chromatine et de définir sa fonction dans le processus de méiose.

Corneal Opacities in Trisomy 8 Mosaic Syndrome : Clinical, Histologic and Genetic Features

Purpose: To describe the clinical, histologic and genetic findings of corneal opacities in the trisomy 8 mosaic syndrome. Methods: 3 children aged 8 years (Patients A), 6 years (Patients B) and 1 month (Patients C) respectively, were referred with corneal opacities for ophthalmologic evaluation. The 2 older patients had been previously diagnosed with trisomy 8 mosaicism, while the third was diagnosed after the ocular examination. Automated lamellar keratoplasty (ALTK) was performed on the most amblyopic eye. Histopathologic analysis with immunohistochemical markers and cytogenetic studies by FISH using haploid probes for chromosome 8 and chromosome 16 (control) were performed on the excised corneal lesion. Results: All patients presented vascularized corneal opacities involving the superficial stroma, and amblyopia with a bilateral involvement in two of them (Patients A and B). Post-operative follow-up (range 6-20 months) was satisfactory, with the graft remaining clear and improved visual acuity, allowing iso-acuity and stereoscopy in the one month old child (Patients C). The clinically observed corneal opacities corresponded histopathologically to the replacement of the normal anterior corneal stroma by a choristomatous loose richly vascularized connective tissue containing mucopolysacharides. Bowman's membrane was absent. There were no adnexal structures. The overlaying epithelium expressed keratin 3 in all three cases. Keratin 19 was found in the suprabasal epithelial cells in one case but was absent in the other cases. There were no expression of keratin 7 and 1 as well as MUC5AC in the epithelial cells. FISH analysis from 100 interphase cells of the affected tissue and normal conjontival probe revealed normal diploid cells. Conclusions: In this series, the corneal opacities associated with trisomy 8 mosaic syndrome share a common clinical, histopathological and genetic features. ALTK should be considered at diagnosis to prevent amblyopia in these children.

Soil fungal communities of grasslands are environmentally structured at a regional scale in the Alps.

Studying patterns of species distributions along elevation gradients is frequently used to identify the primary factors that determine the distribution, diversity and assembly of species. However, despite their crucial role in ecosystem functioning, our understanding of the distribution of below-ground fungi is still limited, calling for more comprehensive studies of fungal biogeography along environmental gradients at various scales (from regional to global). Here, we investigated the richness of taxa of soil fungi and their phylogenetic diversity across a wide range of grassland types along a 2800 m elevation gradient at a large number of sites (213), stratified across a region of the Western Swiss Alps (700 km(2)). We used 454 pyrosequencing to obtain fungal sequences that were clustered into operational taxonomic units (OTUs). The OTU diversity-area relationship revealed uneven distribution of fungal taxa across the study area (i.e. not all taxa are everywhere) and fine-scale spatial clustering. Fungal richness and phylogenetic diversity were found to be higher in lower temperatures and higher moisture conditions. Climatic and soil characteristics as well as plant community composition were related to OTU alpha, beta and phylogenetic diversity, with distinct fungal lineages suggesting distinct ecological tolerances. Soil fungi, thus, show lineage-specific biogeographic patterns, even at a regional scale, and follow environmental determinism, mediated by interactions with plants.

Comparative transcriptomics of rice reveals an ancient pattern of response to microbial colonization.

Glomalean fungi induce and colonize symbiotic tissue called arbuscular mycorrhiza on the roots of most land plants. Other fungi also colonize plants but cause disease not symbiosis. Whole-transcriptome analysis using a custom-designed Affymetrix Gene-Chip and confirmation with real-time RT-PCR revealed 224 genes affected during arbuscular mycorrhizal symbiosis. We compared these transcription profiles with those from rice roots that were colonized by pathogens (Magnaporthe grisea and Fusarium moniliforme). Over 40% of genes showed differential regulation caused by both the symbiotic and at least one of the pathogenic interactions. A set of genes was similarly expressed in all three associations, revealing a conserved response to fungal colonization. The responses that were shared between pathogen and symbiont infection may play a role in compatibility. Likewise, the responses that are different may cause disease. Some of the genes that respond to mycorrhizal colonization may be involved in the uptake of phosphate. Indeed, phosphate addition mimicked the effect of mycorrhiza on 8% of the tested genes. We found that 34% of the mycorrhiza-associated rice genes were also associated with mycorrhiza in dicots, revealing a conserved pattern of response between the two angiosperm classes.