Non-redundant Protein Database Research Articles

Generation and analysis of 10 000 ESTs from the half‐smooth tongue sole Cynoglossus semilaevis and identification of microsatellite and SNP markers

Three normalized cDNA libraries were constructed, two of which were constructed from reproductive tissues ovary and testis, and the other one from pooled immune tissues including head kidney, intestine, liver and spleen. A total of 10 542 clones were sequenced generating 10 128 expressed sequence tags (ESTs). Cluster analysis indicated a total of 5808 unique sequences including 1712 contigs and 4096 singletons. A total of 4249 (73%) of the unique ESTs had significant hits to the non-redundant protein database, 2253 of which were annotated using Gene Ontology (GO) terms. A total of 311 microsatellites (with 246 having sufficient flanking sequences for primer design) and 6294 putative SNPs were identified. These genome resources provide the material basis for future microarray development, marker validation and genetic linkage and QTL analysis.

EST analysis and annotation of transcripts derived from a trichome-specific cDNA library from Salvia fruticosa

Greek sage (Salvia fruticosa Mill., Syn. Salvia triloba L.) is appreciated for its essential oil which is used as an aromatic spice and active against a wide range of microorganisms and viruses. The essential oil is dominated by terpenoids and flavonoids which are produced and stored in glandular trichomes on the plant surface. The present study aims to give insights into the metabolic activities of S. fruticosa trichomes on a transcriptome level. A total of 2,304 clones were sequenced from a cDNA library from leaves' trichomes of S. fruticosa. Exclusion of sequences shorter than 100 bp resulted in 1,615 high-quality ESTs with a mean length of 592 bp. Cluster analysis indicated the presence of 197 contigs (908 clones) and 707 singletons, generating a total of 904 unique sequences. Of the 904 unique ESTs, 628 (69.5%) had significant hits in the non-redundant protein database and were annotated. A total of 517 (82.3%) sequences were functionally classified using the gene ontologies (GO) and established pathway associations to 220 (24.3%) sequences in Kyoto encyclopedia of genes and genomes (KEGG). In addition, 52 (5.8%) of the unique ESTs revealed a GO biological term with relation to terpenoid (78 ESTs), phenylpropanoid (43 ESTs), flavonoid (18 ESTs) or alkaloid (10 ESTs) biosynthesis or to P450s (26 ESTs). Expression analysis of a selected set of genes known to be involved in the pathways of secondary metabolite synthesis showed higher expression levels in trichomes, validating the tissue specificity of the analyzed glandular trichome library.

Development of a EST dataset and characterization of EST-SSRs in a traditional Chinese medicinal plant, Epimedium sagittatum (Sieb. Et Zucc.) Maxim

BackgroundEpimedium sagittatum (Sieb. Et Zucc.) Maxim, a traditional Chinese medicinal plant species, has been used extensively as genuine medicinal materials. Certain Epimedium species are endangered due to commercial overexploition, while sustainable application studies, conservation genetics, systematics, and marker-assisted selection (MAS) of Epimedium is less-studied due to the lack of molecular markers. Here, we report a set of expressed sequence tags (ESTs) and simple sequence repeats (SSRs) identified in these ESTs for E. sagittatum.ResultscDNAs of E. sagittatum are sequenced using 454 GS-FLX pyrosequencing technology. The raw reads are cleaned and assembled into a total of 76,459 consensus sequences comprising of 17,231 contigs and 59,228 singlets. About 38.5% (29,466) of the consensus sequences significantly match to the non-redundant protein database (E-value < 1e-10), 22,295 of which are further annotated using Gene Ontology (GO) terms. A total of 2,810 EST-SSRs is identified from the Epimedium EST dataset. Trinucleotide SSR is the dominant repeat type (55.2%) followed by dinucleotide (30.4%), tetranuleotide (7.3%), hexanucleotide (4.9%), and pentanucleotide (2.2%) SSR. The dominant repeat motif is AAG/CTT (23.6%) followed by AG/CT (19.3%), ACC/GGT (11.1%), AT/AT (7.5%), and AAC/GTT (5.9%). Thirty-two SSR-ESTs are randomly selected and primer pairs are synthesized for testing the transferability across 52 Epimedium species. Eighteen primer pairs (85.7%) could be successfully transferred to Epimedium species and sixteen of those show high genetic diversity with 0.35 of observed heterozygosity (Ho) and 0.65 of expected heterozygosity (He) and high number of alleles per locus (11.9).ConclusionA large EST dataset with a total of 76,459 consensus sequences is generated, aiming to provide sequence information for deciphering secondary metabolism, especially for flavonoid pathway in Epimedium. A total of 2,810 EST-SSRs is identified from EST dataset and ~1580 EST-SSR markers are transferable. E. sagittatum EST-SSR transferability to the major Epimedium germplasm is up to 85.7%. Therefore, this EST dataset and EST-SSRs will be a powerful resource for further studies such as taxonomy, molecular breeding, genetics, genomics, and secondary metabolism in Epimedium species.

Proteomic analysis of pollination-induced corolla senescence in petunia

Senescence represents the last phase of petal development during which macromolecules and organelles are degraded and nutrients are recycled to developing tissues. To understand better the post-transcriptional changes regulating petal senescence, a proteomic approach was used to profile protein changes during the senescence of Petunia×hybrida ‘Mitchell Diploid’ corollas. Total soluble proteins were extracted from unpollinated petunia corollas at 0, 24, 48, and 72 h after flower opening and at 24, 48, and 72 h after pollination. Two-dimensional gel electrophoresis (2-DE) was used to identify proteins that were differentially expressed in non-senescing (unpollinated) and senescing (pollinated) corollas, and image analysis was used to determine which proteins were up- or down-regulated by the experimentally determined cut-off of 2.1-fold for P <0.05. One hundred and thirty-three differentially expressed protein spots were selected for sequencing. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to determine the identity of these proteins. Searching translated EST databases and the NCBI non-redundant protein database, it was possible to assign a putative identification to greater than 90% of these proteins. Many of the senescence up-regulated proteins were putatively involved in defence and stress responses or macromolecule catabolism. Some proteins, not previously characterized during flower senescence, were identified, including an orthologue of the tomato abscisic acid stress ripening protein 4 (ASR4). Gene expression patterns did not always correlate with protein expression, confirming that both proteomic and genomic approaches will be required to obtain a detailed understanding of the regulation of petal senescence.

MSMSpdbb: providing protein databases of closely related organisms to improve proteomic characterization of prokaryotic microbes

Summary: The Microbial Proteomic Resource (MPR) is a repository service that contains non-redundant protein databases of related bacterial strains, which were generated through an in-house developed software called Multi-Strain Mass Spectrometry Prokaryotic DataBase Builder (MSMSpdbb). MSMSpdbb merges and clusters protein sequences inferred from genomic sequences, and provide a protein list in FASTA format that covers for divergence in gene annotation, translational start site choice and presence of single nucleotide polymorphisms and other mutations.Availability: MSMSpdbb was developed in C++ using the Qt libraries (Nokia) and licensed under the GNU General Public License version 2. MSMSpdbb is freely available, and its installation files, instructions for use and additional documentation can be found at the MPR web site http://org.uib.no/prokaryotedb/ can also be found at Proteomecommons.org (see Supplementary Methods for Hash number).Contact: Gustavo.Souza@biomed.uib.noSupplementary information: Supplementary data are available at Bioinformatics online.

Effector prediction in host-pathogen interaction based on a Markov model of a ubiquitous EPIYA motif

BackgroundEffector secretion is a common strategy of pathogen in mediating host-pathogen interaction. Eight EPIYA-motif containing effectors have recently been discovered in six pathogens. Once these effectors enter host cells through type III/IV secretion systems (T3SS/T4SS), tyrosine in the EPIYA motif is phosphorylated, which triggers effectors binding other proteins to manipulate host-cell functions. The objectives of this study are to evaluate the distribution pattern of EPIYA motif in broad biological species, to predict potential effectors with EPIYA motif, and to suggest roles and biological functions of potential effectors in host-pathogen interactions.ResultsA hidden Markov model (HMM) of five amino acids was built for the EPIYA-motif based on the eight known effectors. Using this HMM to search the non-redundant protein database containing 9,216,047 sequences, we obtained 107,231 sequences with at least one EPIYA motif occurrence and 3115 sequences with multiple repeats of the EPIYA motif. Although the EPIYA motif exists among broad species, it is significantly over-represented in some particular groups of species. For those proteins containing at least four copies of EPIYA motif, most of them are from intracellular bacteria, extracellular bacteria with T3SS or T4SS or intracellular protozoan parasites. By combining the EPIYA motif and the adjacent SH2 binding motifs (KK, R4, Tarp and Tir), we built HMMs of nine amino acids and predicted many potential effectors in bacteria and protista by the HMMs. Some potential effectors for pathogens (such as Lawsonia intracellularis, Plasmodium falciparum and Leishmania major) are suggested.ConclusionsOur study indicates that the EPIYA motif may be a ubiquitous functional site for effectors that play an important pathogenicity role in mediating host-pathogen interactions. We suggest that some intracellular protozoan parasites could secrete EPIYA-motif containing effectors through secretion systems similar to the T3SS/T4SS in bacteria. Our predicted effectors provide useful hypotheses for further studies.

Identification of expressed genes during compatible interaction between stripe rust (Puccinia striiformis) and wheat using a cDNA library.

BackgroundWheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most destructive diseases of wheat worldwide. To establish compatibility with the host, Pst forms special infection structures to invade the plant with minimal damage to host cells. Although compatible interaction between wheat and Pst has been studied using various approaches, research on molecular mechanisms of the interaction is limited. The aim of this study was to develop an EST database of wheat infected by Pst in order to determine transcription profiles of genes involved in compatible wheat-Pst interaction.ResultsTotal RNA, extracted from susceptible infected wheat leaves harvested at 3, 5 and 8 days post inoculation (dpi), was used to create a cDNA library, from which 5,793 ESTs with high quality were obtained and clustered into 583 contigs and 2,160 singletons to give a set of 2,743 unisequences (GenBank accessions: GR302385 to GR305127). The BLASTx program was used to search for homologous genes of the unisequences in the GenBank non-redundant protein database. Of the 2,743 unisequences, 52.8% (the largest category) were highly homologous to plant genes; 16.3% to fungal genes and 30% of no-hit. The functional classification of all ESTs was established based on the database entry giving the best E-value using the Bevan's classification categories. About 50% of the ESTs were significantly homologous to genes encoding proteins with known functions; 20% were similar to genes encoding proteins with unknown functions and 30% did not have significant homology to any sequence in the database. The quantitative real-time PCR (qRT-PCR) analysis determined the transcription profiles and their involvement in the wheat-Pst interaction for seven of the gene.ConclusionThe cDNA library is useful for identifying the functional genes involved in the wheat-Pst compatible interaction, and established a new database for studying Pst pathogenesis genes and wheat defense genes. The transcription patterns of seven genes were confirmed by the qRT-PCR assay to be differentially expressed in wheat-Pst compatible and incompatible interaction.

A Statistical Model of Protein Sequence Similarity and Function Similarity Reveals Overly-Specific Function Predictions

BackgroundPredicting protein function from primary sequence is an important open problem in modern biology. Not only are there many thousands of proteins of unknown function, current approaches for predicting function must be improved upon. One problem in particular is overly-specific function predictions which we address here with a new statistical model of the relationship between protein sequence similarity and protein function similarity.MethodologyOur statistical model is based on sets of proteins with experimentally validated functions and numeric measures of function specificity and function similarity derived from the Gene Ontology. The model predicts the similarity of function between two proteins given their amino acid sequence similarity measured by statistics from the BLAST sequence alignment algorithm. A novel aspect of our model is that it predicts the degree of function similarity shared between two proteins over a continuous range of sequence similarity, facilitating prediction of function with an appropriate level of specificity.SignificanceOur model shows nearly exact function similarity for proteins with high sequence similarity (bit score >244.7, e-value >1e−62, non-redundant NCBI protein database (NRDB)) and only small likelihood of specific function match for proteins with low sequence similarity (bit score <54.6, e-value <1e−05, NRDB). For sequence similarity ranges in between our annotation model shows an increasing relationship between function similarity and sequence similarity, but with considerable variability. We applied the model to a large set of proteins of unknown function, and predicted functions for thousands of these proteins ranging from general to very specific. We also applied the model to a data set of proteins with previously assigned, specific functions that were electronically based. We show that, on average, these prior function predictions are more specific (quite possibly overly-specific) compared to predictions from our model that is based on proteins with experimentally determined function.

Transcripts analysis of the entomopathogenic nematode Steinernema carpocapsae induced in vitro with insect haemolymph

Steinernema carpocapsae is an insect parasitic nematode widely used in pest control programs. The efficacy of this nematode in controlling insects has been found to be related to the pathogenicity of the infective stage. In order to study the parasitic mechanisms exhibited by this parasite, a cDNA library of the induced S. carpocapsae parasitic phase was generated. A total of 2500 clones were sequenced and 2180 high-quality ESTs were obtained from this library. Cluster analysis generated a total of 1592 unique sequences including 1393 singletons. About 63% of the unique sequences had significant hits (e≤1e−05) to the non-redundant protein database. The remaining sequences most likely represent putative novel protein coding genes. Comparative analysis identified 377 homologs in C. elegans, 431 in C. briggsae and 75 in other nematodes. Classification of the predicted proteins revealed involvement in diverse cellular, metabolic and extracellular functions. One hundred and nineteen clusters were predicted to encode putative secreted proteins such as proteases, proteases inhibitors, lectins, saposin-like proteins, acetylcholinesterase, anti-oxidants, and heat-shock proteins, which can possibly have host interactions. This dataset provides a basis for genomic studies towards a better understanding of the events that occur in the parasitic process of this entomopathogenic nematode, including invasion of the insect haemocoelium, adaptations to insect innate immunity and stress responses, and production of virulence factors. The identification of key genes in the parasitic process provides useful tools for the improvement of S. carpocapsae as a biological agent.

Global characterization of Artemisia annua glandular trichome transcriptome using 454 pyrosequencing

BackgroundGlandular trichomes produce a wide variety of commercially important secondary metabolites in many plant species. The most prominent anti-malarial drug artemisinin, a sesquiterpene lactone, is produced in glandular trichomes of Artemisia annua. However, only limited genomic information is currently available in this non-model plant species.ResultsWe present a global characterization of A. annua glandular trichome transcriptome using 454 pyrosequencing. Sequencing runs using two normalized cDNA collections from glandular trichomes yielded 406,044 expressed sequence tags (average length = 210 nucleotides), which assembled into 42,678 contigs and 147,699 singletons. Performing a second sequencing run only increased the number of genes identified by ~30%, indicating that massively parallel pyrosequencing provides deep coverage of the A. annua trichome transcriptome. By BLAST search against the NCBI non-redundant protein database, putative functions were assigned to over 28,573 unigenes, including previously undescribed enzymes likely involved in sesquiterpene biosynthesis. Comparison with ESTs derived from trichome collections of other plant species revealed expressed genes in common functional categories across different plant species. RT-PCR analysis confirmed the expression of selected unigenes and novel transcripts in A. annua glandular trichomes.ConclusionThe presence of contigs corresponding to enzymes for terpenoids and flavonoids biosynthesis suggests important metabolic activity in A. annua glandular trichomes. Our comprehensive survey of genes expressed in glandular trichome will facilitate new gene discovery and shed light on the regulatory mechanism of artemisinin metabolism and trichome function in A. annua.

Structural and functional-annotation of an equine whole genome oligoarray

BackgroundThe horse genome is sequenced, allowing equine researchers to use high-throughput functional genomics platforms such as microarrays; next-generation sequencing for gene expression and proteomics. However, for researchers to derive value from these functional genomics datasets, they must be able to model this data in biologically relevant ways; to do so requires that the equine genome be more fully annotated. There are two interrelated types of genomic annotation: structural and functional. Structural annotation is delineating and demarcating the genomic elements (such as genes, promoters, and regulatory elements). Functional annotation is assigning function to structural elements. The Gene Ontology (GO) is the de facto standard for functional annotation, and is routinely used as a basis for modelling and hypothesis testing, large functional genomics datasets.ResultsAn Equine Whole Genome Oligonucleotide (EWGO) array with 21,351 elements was developed at Texas A&M University. This 70-mer oligoarray was designed using the approximately 7× assembled and annotated sequence of the equine genome to be one of the most comprehensive arrays available for expressed equine sequences. To assist researchers in determining the biological meaning of data derived from this array, we have structurally annotated it by mapping the elements to multiple database accessions, including UniProtKB, Entrez Gene, NRPD (Non-Redundant Protein Database) and UniGene. We next provided GO functional annotations for the gene transcripts represented on this array. Overall, we GO annotated 14,531 gene products (68.1% of the gene products represented on the EWGO array) with 57,912 annotations. GAQ (GO Annotation Quality) scores were calculated for this array both before and after we added GO annotation. The additional annotations improved the meanGAQ score 16-fold. This data is publicly available at AgBase http://www.agbase.msstate.edu/.ConclusionProviding additional information about the public databases which link to the gene products represented on the array allows users more flexibility when using gene expression modelling and hypothesis-testing computational tools. Moreover, since different databases provide different types of information, users have access to multiple data sources. In addition, our GO annotation underpins functional modelling for most gene expression analysis tools and enables equine researchers to model large lists of differentially expressed transcripts in biologically relevant ways.

Isolation and characterization of floral transcripts from mangosteen (Garcinia mangostana L.)

The understanding of flower initiation, development, and maturation in mangosteen is of paramount importance to shorten its long juvenile phase and to synchronize its flowering or fruiting time. In this study, we have identified 97 tentative unique genes with higher expression levels in young flower buds compared to young shoots by using suppressive subtraction hybridization and reverse northern analysis. Sequence analysis showed that 63.9% of these transcripts had non-significant matches to sequences in the non-redundant protein database in GenBank, 19.6% had significant matches to unknown proteins while the remaining 16.5% had putative functions in transcription, stress, signal transduction, cell wall biogenesis, photosynthesis and miscellaneous. The full-length cDNA of GmAGMBP encoding AG-motif binding protein (a zinc finger transcriptional factor), and 3′ termini cDNA sequences of GmHSA32 and GmBZIP, encoding heat-stress-associated 32 (HSA32) and bZIP transcription factor, respectively; were cloned and further analysed. Real-time PCR analysis revealed that these three genes have different transcript profiles in flowers of different developmental stages and young shoots. The highest abundance of transcripts was achieved in flowers with diameters ranging from 0.5 to 0.9 cm for GmAGMBP and GmBZIP and in flowers with diameters less than 0.5 cm for GmHSA32. Southern analysis suggested that GmAGMBP might be single copy gene while GmHSA3A could possibly belong to a small gene family in the mangosteen genome.

Seasonal Dynamics and Metagenomic Characterization of Estuarine Viriobenthos Assemblages by Randomly Amplified Polymorphic DNA PCR

Direct enumeration and genetic analyses indicate that aquatic sediments harbor abundant and diverse viral communities. Thus far, synecological analysis of estuarine sediment viral diversity over an annual cycle has not been reported. This oversight is due in large part to a lack of molecular genetic approaches for assessing viral diversity within a large collection of environmental samples. Here, randomly amplified polymorphic DNA PCR (RAPD-PCR) was used to examine viral genotypic diversity within Chesapeake Bay sediments. Using a single 10-mer oligonucleotide primer for all samples, RAPD-PCR analysis of sediment viral assemblages yielded unique banding patterns across spatial and temporal scales, with the occurrence of specific bands varying among the sample set. Cluster analysis of RAPD-PCR amplicon banding patterns indicated that sediment viral assemblages changed with season and to a lesser extent with geographic location. Sequence analysis of RAPD-PCR amplicons revealed that 76% of sediment viral sequences were not homologous to any sequence in the GenBank nonredundant protein database. Of the GenBank sequence homologs, the majority belonged to viruses within the Podoviridae (24%) and Myoviridae (22%) viral families, which agrees with the previously observed frequencies of these morphological families in Chesapeake Bay sediments. Furthermore, the majority of the sediment viral sequences homologous to GenBank nonredundant protein sequences were phages or prophages (57%). Hence, RAPD-PCR proved to be a reliable and useful approach for characterization of viral assemblages and the genetic diversity of viruses within aquatic sediments.

Psyllid Biology: Expressed Genes in Adult Asian Citrus Psyllids, Diaphorina citri Kuwayama

Where it occurs the Asian citrus psyllid, Diaphorina citri, Kuwayama (Hemiptera: Psyllidae) is considered the primary vector of Huanglongbing, HLB, disease of citrus trees. The plant pathogenic bacterium associated with HLB causes economic losses to citrus industries worldwide. To better understand the general biology of D. citri, we undertook a sequencing project from adult psyllids. Few genes have been isolated from psyllids however several insect genomic datasets are available for comparisons. We compared the psyllid data to genomic datasets of nematode, C. elegans, fruit fly, D. melanogaster, honey bee, A. mellifera, mosquito, A. aegypti, and human, H. sapiens since these have completed more thorough levels of annotation. We describe the first data set of ESTs from D. citri, the Asian citrus psyllid. A total of 5,906 cDNA clones were sequenced, resulting in 4,595 high-quality ESTs. Electronic removal of 1,487 sequences which matched to bacteria and viruses left an assembly of cDNAs resulting in a total of 636 psyllid sequences (544 contigs plus 92 singlets). The sequences underwent BLAST analyses using (Swissprot-Tremble 03-2007) and NCBI, nr databases which returned 53% with 'No significant match' in either the non-redundant protein or nucleic acid databases, providing new information to the scientific community. The D. citri gene expression data set advances current research efforts in the identification of genes and physiological processes of psyllids. Knowledge of these genes and proteins are being used in the development of novel management strategies against psyllids, and other sap feeding insects within the Order: Hemip- tera.

Transcriptome analysis of the central nervous system of the mollusc Lymnaea stagnalis

BackgroundThe freshwater snail Lymnaea stagnalis (L. stagnalis) has served as a successful model for studies in the field of Neuroscience. However, a serious drawback in the molecular analysis of the nervous system of L. stagnalis has been the lack of large-scale genomic or neuronal transcriptome information, thereby limiting the use of this unique model.ResultsIn this study, we report 7,712 distinct EST sequences (median length: 847 nucleotides) of a normalized L. stagnalis central nervous system (CNS) cDNA library, resulting in the largest collection of L. stagnalis neuronal transcriptome data currently available. Approximately 42% of the cDNAs can be translated into more than 100 consecutive amino acids, indicating the high quality of the library. The annotated sequences contribute 12% of the predicted transcriptome size of 20,000. Surprisingly, approximately 37% of the L. stagnalis sequences only have a tBLASTx hit in the EST library of another snail species Aplysia californica (A. californica) even using a low stringency e-value cutoff at 0.01. Using the same cutoff, approximately 67% of the cDNAs have a BLAST hit in the NCBI non-redundant protein and nucleotide sequence databases (nr and nt), suggesting that one third of the sequences may be unique to L. stagnalis. Finally, using the same cutoff (0.01), more than half of the cDNA sequences (54%) do not have a hit in nematode, fruitfly or human genome data, suggesting that the L. stagnalis transcriptome is significantly different from these species as well. The cDNA sequences are enriched in the following gene ontology functional categories: protein binding, hydrolase, transferase, and catalytic enzymes.ConclusionThis study provides novel molecular insights into the transcriptome of an important molluscan model organism. Our findings will contribute to functional analyses in neurobiology, and comparative evolutionary biology. The L. stagnalis CNS EST database is available at .

Quantitative Proteomics Analysis of Macrophage Rafts Reveals Compartmentalized Activation of the Proteasome and of Proteasome-mediated ERK Activation in Response to Lipopolysaccharide

Lipopolysaccharide (LPS), a glycolipid component of the outer membrane of Gram-negative bacteria, is a potent initiator of the innate immune response of the macrophage. LPS triggers downstream signaling by selectively recruiting and activating proteins in cholesterol-rich membrane microdomains called lipid rafts. We applied proteomics analysis to macrophage detergent-resistant membranes (DRMs) during an LPS exposure time course in an effort to identify and validate novel events occurring in macrophage rafts. Following metabolic incorporation in cell culture of heavy isotopes of amino acids arginine and lysine ([(13)C(6)]Arg and [(13)C(6)]Lys) or their light counterparts, a SILAC (stable isotope labeling with amino acids in cell culture)-based quantitative, liquid chromatography-tandem mass spectrometry proteomics approach was used to profile LPS-induced changes in the lipid raft proteome of RAW 264.7 macrophages. Unsupervised network analysis of the proteomics data set revealed a marked representation of the ubiquitin-proteasome system as well as changes in proteasome subunit composition following LPS challenge. Functional analysis of DRMs confirmed that LPS causes selective activation of the proteasome in macrophage rafts and proteasome inactivation outside of rafts. Given previous reports of an essential role for proteasomal degradation of IkappaB kinase-phosphorylated p105 in LPS activation of ERK mitogen-activated protein kinase, we tested for a role of rafts in compartmentalization of these events. Immunoblotting of DRMs revealed proteasome-dependent activation of MEK and ERK specifically occurring in lipid rafts as well as proteasomal activity upon raft-localized p105 that was enhanced by LPS. Cholesterol extraction from the intact macrophage with methyl-beta-cyclodextrin was sufficient to activate ERK, recapitulating the LPS-IkappaB kinase-p105-MEK-ERK cascade, whereas both it and the alternate raft-disrupting agent nystatin blocked subsequent LPS activation of the ERK cascade. Taken together, our findings indicate a critical, selective role for raft compartmentalization and regulation of proteasome activity in activation of the MEK-ERK pathway.

Proteomic analysis of the salivary glands of the rice brown planthopper, Nilaparvata lugens (Stål) (Homoptera: Delphacidae)

The rice brown planthopper, Nilaparvata lugens is a phloem-feeding insect pest of the rice plant Oryza sativa. To understand the role of saliva in its feeding process, we analyzed salivary gland proteins using two-dimensional polyacrylamide gel electrophoresis followed by Edman degradation of proteins. Of the 52 major spots analyzed, 25 N-terminal sequences were determined. The internal amino acid sequences of the remaining 27 proteins were determined by the Cleveland peptide mapping method. We identified 22 of the 25 proteins whose N-terminal regions were sequenced and 13 of the 27 proteins that were internally sequenced after searching them against the entries in the expressed sequence tag (EST) database of N. lugens. Through a homology search using public nonredundant protein databases, we identified EST-unmatched proteins. As a result, many housekeeping proteins responsible for energy metabolism, protein synthesis, folding and modification were identified, of which actins, tubulins, heat-shock proteins, protein disulfide isomerases and ATP synthases were in common with proteins identified from the salivary glands of hematophagous arthropods such as Anopheles gambiae, and a phytophagous gall midge Mayetiola destructor. However, we could not identify the glucosidases and phenoloxidases previously detected in the salivary glands of N. lugens. In contrast, novel proteins with an EF-hand domain were found in relatively high abundance in salivary gland homogenates derived from N. lugens; their corresponding ESTs were specifically derived from the salivary glands. Their calcium-binding properties suggest their importance of phloem feeding by the planthopper.

Different proteomic protein patterns in saliva of Sjögren's syndrome patients

To investigate the salivary protein profile in patients with Sjögren's syndrome (SS), and healthy control subjects. Unstimulated whole saliva samples were collected from 16 age-matched females; eight healthy subjects and eight patients diagnosed with SS (six primary SS, one incomplete SS and one primary SS associated with B cell lymphoma). Proteins were extracted and separated individually by 2D sodium dodecyl sulphate-polyacrylamide gel electrophoresis. Selected protein spots of interest were analysed by electrospray ionization--tandem mass spectrometry. Obtained data were searched against the Swiss-Prot and NCBI non-redundant protein databases using Mascot software. Two groups of patterns of protein expression were observed in the eight SS patients: a major group (six patients) with significant expression differences from the healthy subjects and the second group (two patients) with a pattern similar to the eight healthy subjects. In this preliminary study, protein expression differences were found between SS patients and healthy subjects. Individual analysis of SS patients exhibited two patterns of protein expression with no direct relation to the clinical, serological or histological severity of disease. This study emphasizes the difficulty of the present proteomic knowledge to diagnose and monitor the sequel of SS development.

Requirements for Protein Phosphorylation and the Kinase Activity of Polo-like Kinase 1 (Plk1) for the Kinetochore Function of Mitotic Arrest Deficiency Protein 1 (Mad1)

Mitotic arrest deficiency protein 1 (Mad1) is associated with microtubule-unattached kinetochores in mitotic cells and is a component of the spindle assembly checkpoint (SAC). Here, we have studied the phosphorylation of Mad1 and mapped using liquid chromatography-tandem mass spectrometry several phosphorylated amino acids in this protein. One phosphorylated residue, Thr680, was characterized to be important for the kinetochore localization of Mad1 and its SAC function. We also found that in mitotic cells Mad1 co-immunoprecipitated with Plk1. Depletion of cellular Plk1 using small interfering RNAs and inhibition of the kinase activity of Plk1 using a kinase-dead mutant or a small molecule inhibitor attenuated Mad1 phosphorylation and its association with kinetochores. Collectively, these findings indicate mechanistic roles contributed by protein phosphorylation and Plk1 to the SAC activity of Mad1.

Laser capture microdissection and expressed sequence tag analysis of uredinia formed by Phakopsora pachyrhizi, the causal agent of Asian soybean rust

Soybean is one of the top five agricultural products in the United States. Soybean rust is caused by the obligate fungus Phakopsora pachyrhizi Sydow, an exotic pathogen in the U.S. Extensive screening of soybean germplasm has not identified soybean with resistance to all of the different isolates of Asian soybean rust. A biotechnological approach may help to broaden resistance of soybean to this fungus. Using laser capture microdissection, we isolated uredinia formed by P. pachyrhizi on the under side of leaves, extracted the RNA and constructed a cDNA library. A total of 925 cDNAs were sequenced from the library, contigs were formed, and homology searches were conducted to determine the identity of the genes. Forty-one unisequences with significant similarities ( e-value ≤ 10 −5) to sequences deposited in the NCBI non-redundant protein databases were identified. Sixteen had similarities to known genes encoding proteins involved in different cellular functions such as energy production, cellular communication/signal transduction, and transcription; twenty-four represented genes encoding hypothetical proteins or proteins with unknown function. Ten unisequences of unknown protein function included conserved domains from InterPro databases. Of the 41 unisequences, 61% were similar to fungal sequences. RT-PCR was used to explore the expression pattern of seventeen rust genes, revealing some targeted for additional study of control of P. pachyrhizi in soybean.