Effective proteome profiling is generally considered to depend heavily on the availability of a high‐quality DNA reference database. As such, proteomics has long been taxonomically restricted, with limited inroads being made into the proteomes of “non‐model” organisms. However, next generation sequencing (NGS), and particularly RNA‐Seq, now allows deep coverage detection of expressed genes at low cost, which in turn potentially facilitates the matching of peptide mass spectra with cognate gene sequence. To test this, we performed a quantitative analysis of the proteomes of pollen from domesticated tomato ( Solanum lycopersicum ) and two wild relatives that exhibit differences in mating systems and in interspecific reproductive barriers. Using a custom tomato RNA‐Seq database created through 454 pyrosequencing, more than 1200 proteins were identified, with subsets showing expression differences between genotypes or in the accumulation of the corresponding transcripts. Importantly, no major qualitative or quantitative differences were observed in the characterized proteomes when mass spectra were used to interrogate either a highly curated community database of tomato sequences generated through traditional sequencing technologies, or the RNA‐Seq database. We conclude that RNA‐Seq provides a cost‐effective and robust platform for protein identification and will be increasingly valuable to the field of proteomics.
The Bioinformatics platform includes a Laboratory Integrated Management System (LIMS), the implementation of wEMBOSS, home-developed perl tools for data analysis, InterproScan for annotation of sequence domains, and the implementation of wBLAST and wNetBLAST among other tools available. The main backbone of the system is an adaptation of the SOL Genomics Network (SGN) databases developed at Cornell University for ESTs, molecular markers and BAC sequences storage and analysis (http://sgn.cornell.edu). The system is based on the postgresQL relational database, the use of perl scripts for the manipulation of data, the Apache Web server with the mod_perl integrated perl interpreter, and the servers run the Debian distribution of the GNU/Linux operating system.
Abstract Phytochemical diversity is thought to result from coevolutionary cycles as specialization in herbivores imposes diversifying selection on plant chemical defenses. Plants in the speciose genus Erysimum (Brassicaceae) produce both ancestral glucosinolates and evolutionarily novel cardenolides as defenses. Here we test macroevolutionary hypotheses on co-expression, co-regulation, and diversification of these potentially redundant defenses across this genus. We sequenced and assembled the genome of E. cheiranthoides and foliar transcriptomes of 47 additional Erysimum species to construct a highly resolved phylogeny, revealing that cardenolide diversity increased rapidly rather than gradually over evolutionary time. Concentrations, inducibility, and diversity of the two defenses varied independently among species, with no evidence for trade-offs. Closely related species shared similar cardenolide traits, but not glucosinolate traits, likely as a result of specific selective pressures acting on distinct molecular diversification mechanisms. Ancestral and novel chemical defenses in Erysimum thus appear to provide complementary rather than redundant functions.
Lasiodiplodia theobromae is a fungal pathogen associated with perennial tropical fruit plants worldwide. In citrus, L. theobromae causes stem-end rot (Diplodia stem-end rot), a damaging postharvest disease that is aggravated when trees are also infected with the citrus greening bacteria ‘Candidatus Liberibacter asiaticus’. Due to the latent infection of L. theobromae during the preharvest stage, it becomes difficult to control the disease by chemical or physical treatment. In the current study, we sequenced and assembled strain CITRA15, the first genome of L. theobromae obtained from diseased Citrus paradise ‘Flame’ grapefruit in Florida, and thereby provided a genomic resource for future research on diagnostics, and postharvest and preharvest disease management of citrus and other fruit crops.
Abstract The concept of community annotation is a growing discipline for achieving participation of the research community in depositing up‐to‐date knowledge in biological databases.The Solanaceae Genomics Network ("SGN":http://sgn.cornell.edu/) is a clade‐oriented database (COD) focusing on plants of the nightshade family, including tomato, potato, pepper, eggplant, and tobacco, and is one of the bioinformatics nodes of the international tomato genome sequencing project. One of our major efforts is linking Solanaceae phenotype information with the underlying genes, and subsequently the genome. As part of this goal, SGN has introduced a database for locus names and descriptors, and a database for phenotypes of natural and induced variation. These two databases have web interfaces that allow cross references, associations with tomato gene models, and in‐house curated information of sequences, literature, ontologies, gene networks, and the Solanaceae biochemical pathways database ("SolCyc":http://solcyc.sgn.cornell.edu). All of our curator tools are open for online community annotation, through specially assigned “submitter” accounts. Currently the community database consists of 5,548 phenotyped accessions, and 5,739 curated loci, out of which more than 300 loci where contributed or annotated by 66 active submitters, creating a database that is truly community driven.This framework is easily adaptable for other projects working on other taxa (for example see "http://chlamybase.org":http://chlamybase.org), greatly expanding the application of this user‐friendly online annotation system. Community participation is fostered by an active outreach program that includes contacting potential submitters via emails, at meetings and conferences, and by promoting featured user submitted annotations on the SGN homepage. The source code and database schema for all SGN functionalities are freely available. Please contact SGN at "sgn‐feedback[at]sgn.cornell.edu":mailto:sgn-feedback@sgn.cornell.edu for more information.
Abstract Cassava, a food security crop in Africa, is grown throughout the tropics and subtropics. Although cassava can provide high productivity in suboptimal conditions, the yield in Africa is substantially lower than in other geographies. The yield gap is attributable to many challenges faced by cassava in Africa, including susceptibility to diseases and poor soil conditions. In this study, we carried out 3’RNA sequencing on 150 accessions from the National Crops Resources Research Institute, Ugandan for 5 tissue types, providing population-based transcriptomics resources to the research community in a web-based queryable cassava expression atlas. Differential expression and weighted gene co-expression network analysis were performed to detect 8,820 significantly differentially expressed genes (DEGs), revealing similarity in expression patterns between tissue types and the clustering of detected DEGs into 18 gene modules. As a confirmation of data quality, differential expression and pathway analysis targeting cassava mosaic disease (CMD) identified 27 genes observed in the plant-pathogen interaction pathway, several previously identified CMD resistance genes and two peroxidase family proteins different from the CMD2 gene. Present research work represents a novel resource towards understanding complex traits at expression and molecular levels for the development of resistant and high-yielding cassava varieties, as exemplified with CMD.
Protein kinase–driven phosphorylation constitutes the core of cellular signaling. Kinase components of signal transduction pathways are often targeted for inactivation by pathogens. The study of kinases and immune signal transduction in the model crop tomato (Solanum lycopersicum) would benefit from the availability of community-wide resources for large scale and systems-level experimentation. Here, we defined the tomato kinome and performed a comprehensive comparative analysis of the tomato kinome and 15 other plant species. We constructed a tomato kinase library (TOKN 1.0) of over 300 full-length open reading frames (ORF) cloned into a recombination-based vector. We developed a high-throughput pipeline to isolate and transform tomato protoplasts. A subset of the TOKN 1.0 library kinases were expressed in planta, were purified, and were used to generate a functional tomato protein microarray. All resources created were utilized to test known and novel associations between tomato kinases and Pseudomonas syringae DC3000 effectors in a large-scale format. Bsk7 was identified as a component of the plant immune response and a candidate effector target. These resources will enable comprehensive investigations of signaling pathways and host-pathogen interactions in tomato and other Solanaceae spp.
Water availability influences all aspects of plant growth and development; however, most studies of plant responses to drought have focused on vegetative organs, notably roots and leaves. Far less is known about the molecular bases of drought acclimation responses in fruits, which are complex organs with distinct tissue types. To obtain a more comprehensive picture of the molecular mechanisms governing fruit development under drought, we profiled the transcriptomes of a spectrum of fruit tissues from tomato (Solanum lycopersicum), spanning early growth through ripening and collected from plants grown under varying intensities of water stress. In addition, we compared transcriptional changes in fruit with those in leaves to highlight different and conserved transcriptome signatures in vegetative and reproductive organs. We observed extensive and diverse genetic reprogramming in different fruit tissues and leaves, each associated with a unique response to drought acclimation. These included major transcriptional shifts in the placenta of growing fruit and in the seeds of ripe fruit related to cell growth and epigenetic regulation, respectively. Changes in metabolic and hormonal pathways, such as those related to starch, carotenoids, jasmonic acid, and ethylene metabolism, were associated with distinct fruit tissues and developmental stages. Gene coexpression network analysis provided further insights into the tissue-specific regulation of distinct responses to water stress. Our data highlight the spatiotemporal specificity of drought responses in tomato fruit and indicate known and unrevealed molecular regulatory mechanisms involved in drought acclimation, during both vegetative and reproductive stages of development.
Citrus greening disease is caused by the pathogen Candidatus Liberibacter asiaticus and transmitted by the Asian citrus psyllid, Diaphorina citri. No curative treatment or significant prevention mechanism exists for this disease, which causes economic losses from reduced citrus production. A high-quality genome of D. citri is being manually annotated to provide accurate gene models to identify novel control targets and increase understanding of this pest. Here, we annotated 25 D. citri genes involved in glycolysis and gluconeogenesis, and seven in trehaloneogenesis. Comparative analysis showed that glycolysis genes in D. citri are highly conserved but copy numbers vary. Analysis of expression levels revealed upregulation of several enzymes in the glycolysis pathway in the thorax, consistent with the primary use of glucose by thoracic flight muscles. Manually annotating these core metabolic pathways provides accurate genomic foundation for developing gene-targeting therapeutics to control D. citri.
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