Use of a large-scale Triticeae expressed sequence tag resource to reveal gene expression profiles in hexaploid wheat (Triticum aestivum L.).

The US Wheat Genome Project, funded by the National Science Foundation, developed the first large public Triticeae expressed sequence tag (EST) resource. Altogether, 116,272 ESTs were produced, comprising 100,674 5' ESTs and 15 598 3' ESTs. These ESTs were derived from 42 cDNA libraries, which were created from hexaploid bread wheat (Triticum aestivum L.) and its close relatives, including diploid wheat (T. monococcum L. and Aegilops speltoides L.), tetraploid wheat (T. turgidum L.), and rye (Secale cereale L.), using tissues collected from various stages of plant growth and development and under diverse regimes of abiotic and biotic stress treatments. ESTs were assembled into 18,876 contigs and 23,034 singletons, or 41,910 wheat unigenes. Over 90% of the contigs contained fewer than 10 EST members, implying that the ESTs represented a diverse selection of genes and that genes expressed at low and moderate to high levels were well sampled. Statistical methods were used to study the correlation of gene expression patterns, based on the ESTs clustered in the 1536 contigs that contained at least 10 5' EST members and thus representing the most abundant genes expressed in wheat. Analysis further identified genes in wheat that were significantly upregulated (p < 0.05) in tissues under various abiotic stresses when compared with control tissues. Though the function annotation cannot be assigned for many of these genes, it is likely that they play a role associated with the stress response. This study predicted the possible functionality for 4% of total wheat unigenes, which leaves the remaining 96% with their functional roles and expression patterns largely unknown. Nonetheless, the EST data generated in this project provide a diverse and rich source for gene discovery in wheat.     

Tissue expression map of a large number of expressed sequence tags and its application to in silico screening of stress response genes in common wheat

In order to assess global changes in gene expression patterns in stress-induced tissues, we conducted large-scale analysis of expressed sequence tags (ESTs) in common wheat. Twenty-one cDNA libraries derived from stress-induced tissues, such as callus, as well as liquid cultures and abiotic stress conditions (temperature treatment, desiccation, photoperiod, moisture and ABA) were constructed. Several thousand colonies were randomly selected from each of these 21 cDNA libraries and sequenced from both the 5′ and 3′ ends. By computing abundantly expressed ESTs, correlated expression patterns of genes across the tissues were monitored. Furthermore, the relationships between gene expression profiles among the stress-induced tissues were inferred from the gene expression patterns. Multi-dimensional analysis of EST data is analogous to microarray experiments. As an example, genes specifically induced and/or suppressed by cold acclimation and heat-shock treatments were selected in silico. Four hundred and ninety genes showing fivefold induction or 218 genes for suppression in comparison to the control expression level were selected. These selected genes were annotated with the BLAST search. Furthermore, gene ontology was conducted for these genes with the InterPro search. Because genes regulated in response to temperature treatment were successfully selected, this method can be applied to other stress-treated tissues. Then, the method was applied to screen genes in response to abiotic stresses such as drought and ABA treatments. In silico selection of screened genes from virtual display should provide a powerful tool for functional plant genomics.Electronic Supplementary Material Supplementary material is available to authorised users in the online version of this article at .     

Analysis of expressed sequence tags of flower buds in Lotus japonicus.

In order to study gene expression in a reproductive organ, we constructed a cDNA library of mature flower buds in Lotus japonicus, and characterized expressed sequence tags (ESTs) of 842 clones randomly selected. The EST sequences were clustered into 718 non-redundant groups. From BLAST and FASTA search analyses of both protein and DNA databases, 58.5% of the EST groups showed significant sequence similarities to known genes. Several genes encoding these EST clones were identified as pollen-specific genes, such as pectin methylesterase, ascorbate oxidase, and polygalacturonase, and as homologous genes involved in pollen-pistil interaction. Comparison of these EST sequences with those derived from the whole plant of L. japonicus, revealed that 64.8% of EST sequences from the flower buds were not found in EST sequences of the whole plant. Taken together, the EST data from flower buds generated in this study is useful in dissecting gene expression in floral organ of L. japonicus.     

Knots in the family tree: evolutionary relationships and functions of knox homeobox genes

Knotted-like homeobox (knox) genes constitute a gene family in plants. Class I knox genes are expressed in shoot apical meristems, and (with notable exceptions) not in lateral organ primordia. Class II genes have more diverse expression patterns. Loss and gain of function mutations indicate that knox genes are important regulators of meristem function. Gene duplication has contributed to the evolution of families of homeodomain proteins in metazoans. We believe that similar mechanisms have contributed to the diversity of knox gene function in plants. Knox genes may have contributed to the evolution of compound leaves in tomato and could be involved in the evolution of morphological traits in other species. Alterations in cis-regulatory regions in some knox genes correlate with novel patterns of gene expression and distinctive morphologies. Preliminary data from the analysis of class I knox gene expression illustrates the evolution of complex patterns of knox expression is likely to have occurred through loss and gain of domains of gene expression.     

Exploration of the late stages of the tomato-Phytophthora parasitica interactions through histological analysis and generation of expressed sequence tags.

The oomycete Phytophthora parasitica is a soilborne pathogen infecting numerous plants. The infection process includes an initial biotrophic stage, followed by a necrotrophic stage. The aim here was to identify genes that are involved in the late stages of infection. Using the host tomato and a transformed strain of P. parasitica expressing the green fluorescent protein (GFP), the various infection steps from recognition of the host to the colonization of plant tissues were studied. This late stage was selected to generate 4000 ESTs (expressed sequence tags), among which approx. 80% were from the pathogen. Comparison with an EST data set created previously from in vitro growth of P. parasitica allowed the identification of several genes, the expression of which might be regulated during late stages of infection. Changes in gene expression of several candidate genes predicted from in silico analysis were validated by quantitative RT-PCR experiments. These results give insights into the molecular bases of the necrotrophic stage of an oomycete pathogen.     

Deciphering Ascorbic Acid Regulatory Pathways in Ripening Tomato Fruit Using a Weighted Gene Correlation Network Analysis Approach

Genotype is generally determined by the co-expression of diverse genes and multiple regulatory pathways in plants. Gene co-expression analysis combining with physiological trait data provides very important information about the gene function and regulatory mechanism. L-Ascorbic acid （AsA）, which is an essential nutrient component for human health and plant metabolism, plays key roles in diverse biological processes such as cell cycle, cell expansion, stress resistance, hormone synthesis, and signaling. Here, we applied a weighted gene correlation network analysis approach based on gene expression values and AsA content data in ripening tomato （Solanum lycopersicum L.） fruit with different AsA content levels, which leads to identification of AsA relevant modules and vital genes in AsA regulatory pathways. Twenty- four modules were compartmentalized according to gene expression profiling. Among these modules, one negatively related module containing genes involved in redox processes and one positively related module enriched with genes involved in AsA biosynthetic and recycling pathways were further analyzed. The present work herein indicates that redox pathways as well as hormone-signal pathways are closely correlated with AsA accumulation in ripening tomato fruit, and allowed us to prioritize candidate genes for follow-up studies to dissect this interplay at the biochemical and molecular level.     

Census of orthologous genes and self-organizing maps of biologically relevant transcriptional patterns in chickens (Gallus gallus)

The launch of large-scale chicken expressed sequence tags (EST) projects has placed the chicken in the lead for the number of EST sequences in agriculturally important animals. More than 451,000 chicken ESTs derived from over 158 libraries have been deposited in the NCBI dbEST database as of December 2003. But how many genes these ESTs represent and how they are expressed in different chicken tissues/organs remain undetermined. In the present research, we developed a human gene-based strategy for census of chicken orthologous genes and identification of their expression patterns. Among 34,157 human coding genes used in the study, BLAST analysis revealed that 11,066 genes provisionally matched 248,628 chicken ESTs. Based on the average EST abundance of the orthologous genes, the current public repository of chicken ESTs could represent 20,000 provisional genes. Analysis of gene expression in 14 single tissues/organs showed that approximately 15% of genes were expressed exclusively in single tissue/organ whereas the remaining 85% of genes were co-expressed in two or more tissues/organs. A majority (91.15%) of genes expressed in chicken embryos were also expressed at post-hatch stages, indicating that most genes activated in chicken embryos could serve housekeeping functions. Self-organizing maps (SOM) analysis organized 8807 provisional genes in selected chicken tissues into 98 clusters with each cluster being indicative of common regulatory factors and pathways. A total of 969 provisional orthologous genes were identified as preferentially expressed genes (PEGs) in various chicken tissues/organs (LOD>3.0). No doubt, the present study on gene expression patterns will provide insight into dynamics of metabolic pathways and tissue/organ programming and reprogramming in chickens.