ESTuber db: an online database for Tuber borchii EST sequences

The Rhizoctonia solani AG1-IB (isolate 7/3/14) transcriptome during interaction with the host plant lettuce (Lactuca sativa L.)

The necrotrophic pathogen Rhizoctonia solani is one of the most economically important soil-borne pathogens of crop plants. Isolates of R. solani AG1-IB are the major pathogens responsible for bottom-rot of lettuce (Lactuca sativa L.) and are also responsible for diseases in other plant species. Currently, there is lack of information regarding the molecular responses in R. solani during the pathogenic interaction between the necrotrophic soil-borne pathogen and its host plant. The genome of R. solani AG1-IB (isolate 7/3/14) was recently established to obtain insights into its putative pathogenicity determinants. In this study, the transcriptional activity of R. solani AG1-IB was followed during the course of its pathogenic interaction with the host plant lettuce under controlled conditions. Based on visual observations, three distinct pathogen-host interaction zones on lettuce leaves were defined which covered different phases of disease progression on tissue inoculated with the AG1-IB (isolate 7/3/14). The zones were defined as: Zone 1-symptomless, Zone 2-light brown discoloration, and Zone 3-dark brown, necrotic lesions. Differences in R. solani hyphae structure in these three zones were investigated by microscopic observation. Transcriptional activity within these three interaction zones was used to represent the course of R. solani disease progression applying high-throughput RNA sequencing (RNA-Seq) analysis of samples collected from each Zone. The resulting three transcriptome data sets were analyzed for their highest expressed genes and for differentially transcribed genes between the respective interaction zones. Among the highest expressed genes was a group of not previously described genes which were transcribed exclusively during early stages of interaction, in Zones 1 and 2. Previously described importance of up-regulation in R. solani agglutinin genes during disease progression could be further confirmed; here, the corresponding genes exhibited extremely high transcription levels. Most differentially higher expressed transcripts were found within Zone 2. In Zone 3, the zone with the strongest degree of interaction, gene transcripts indicative of apoptotic activity were highly abundant. The transcriptome data presented in this work support previous models of the disease and interaction cycle of R. solani and lettuce and may influence effective techniques for control of this pathogen.

Molecular systematics of the cotton root rot pathogen, Phymatotrichopsis omnivora

Cotton root rot is an important soilborne disease of cotton and numerous dicot plants in the south-western United States and Mexico. The causal organism, Phymatotrichopsis omnivora (= Phymatotrichum omnivorum), is known only as an asexual, holoanamorphic (mitosporic) fungus, and produces conidia resembling those of Botrytis. Although the corticoid basidiomycetes Phanerochaete omnivora (Polyporales) and Sistotrema brinkmannii (Cantharellales; both Agaricomycetes) have been suggested as teleomorphs of Phymatotrichopsis omnivora, phylogenetic analyses of nuclear small- and large-subunit ribosomal DNA and subunit 2 of RNA polymerase II from multiple isolates indicate that it is neither a basidiomycete nor closely related to other species of Botrytis (Sclerotiniaceae, Leotiomycetes). Phymatotrichopsis omnivora is a member of the family Rhizinaceae, Pezizales (Ascomycota: Pezizomycetes) allied to Psilopezia and Rhizina.

The evolutionarily conserved family of cyanovirin-N homologs: structures and carbohydrate specificity

Solution structures for three members of the recently discovered cyanovirin-N (CV-N) homolog family of lectins have been determined. Cyanovirin-N homologs (CVNHs) from Tuber borchii, Ceratopteris richardii, and Neurospora crassa, representing each of the three phylogenetic groups, were selected. All proteins exhibit the same fold, and the overall structures resemble that of the founding member of the family, CV-N, albeit with noteworthy differences in loop conformation and detailed local structure. Since no data are available regarding the proteins' function or their natural ligands, extensive carbohydrate-binding studies were conducted. We delineated ligand-binding sites on all three proteins by nuclear magnetic resonance and identified which sugars interact by array screening. The number and location of binding sites vary for the three proteins, and different ligand specificities exist. Potential physiological roles for two family members, TbCVNH and NcCVNH, were probed in nutrition deprivation experiments that suggest a possible involvement of these proteins in lifestyle-related responses.

A comparative gene index for the white sturgeon Acipenser transmontanus

Sturgeons are archaic fishes phylogenetically distinct from Teleosts. They represent an important niche for aquaculture, particularly for the production of caviar and high quality fillets, while many natural populations in various world areas are today threatened by extinction. Knowledge of the sturgeon genome is limited, as it is the case of many other species of interest for fishery, aquaculture and conservation. Sequences from non-normalized libraries of skin and spleen of the American sturgeon (A. transmontanus) produced in our laboratories were analysed via a bioinformatic procedure, and compared to similar resources available for three Teleost species. Data collected during the analyses were stored in a database - the Sturgeon database (db) - that can be queried via a web interface. The Sturgeon db contains a total of 16,404 sequences from Acipenser transmontanus, Ictalurus punctatus, Salmo salar and Takifugu rubripes, each specie being represented by expressed sequence tags (ESTs) from skin and spleen. Data contained in the database are the results of a number of analyses that mostly focus on sequence annotation and intra- and inter-species comparison. Putative SNP sites, tandem repeats, and sequences matching known protein patterns and motifs were also identified. The Sturgeon db is by now the only online resource dedicated to the analysis of A. transmontanus EST sequences, and represents a starting point for the investigation of the genome of sturgeons from a physiological perspective; it will be used to identify polymorphic markers to study, for example, fish pathologies or to survey fish disease resistance, and to produce gene expression arrays. Introduction of sequences from other species in the analysis pipeline allowed inter-species comparisons of transcripts distribution in Gene Ontology categories, as well as orthologs identification, despite the high sturgeon phylogenetic distance from other fish species. As a result of the EST analysis procedure, 1058 sturgeon novel unigenes were identified.

Version VI of the ESTree db: an improved tool for peach transcriptome analysis

Background

The ESTree database (db) is a collection of Prunus persica and Prunus dulcis EST sequences that in its current version encompasses 75,404 sequences from 3 almond and 19 peach libraries. Nine peach genotypes and four peach tissues are represented, from four fruit developmental stages. The aim of this work was to implement the already existing ESTree db by adding new sequences and analysis programs. Particular care was given to the implementation of the web interface, that allows querying each of the database features.

Results

A Perl modular pipeline is the backbone of sequence analysis in the ESTree db project. Outputs obtained during the pipeline steps are automatically arrayed into the fields of a MySQL database. Apart from standard clustering and annotation analyses, version VI of the ESTree db encompasses new tools for tandem repeat identification, annotation against genomic Rosaceae sequences, and positioning on the database of oligomer sequences that were used in a peach microarray study. Furthermore, known protein patterns and motifs were identified by comparison to PROSITE. Based on data retrieved from sequence annotation against the UniProtKB database, a script was prepared to track positions of homologous hits on the GO tree and build statistics on the ontologies distribution in GO functional categories. EST mapping data were also integrated in the database. The PHP-based web interface was upgraded and extended. The aim of the authors was to enable querying the database according to all the biological aspects that can be investigated from the analysis of data available in the ESTree db. This is achieved by allowing multiple searches on logical subsets of sequences that represent different biological situations or features.

Conclusions

The version VI of ESTree db offers a broad overview on peach gene expression. Sequence analyses results contained in the database, extensively linked to external related resources, represent a large amount of information that can be queried via the tools offered in the web interface. Flexibility and modularity of the ESTree analysis pipeline and of the web interface allowed the authors to set up similar structures for different datasets, with limited manual intervention.