Transcript Abundance Levels Research Articles

Comprehensive genomic analysis of the CNGC gene family in Brassica oleracea: novel insights into synteny, structures, and transcript profiles

BackgroundThe cyclic nucleotide-gated ion channel (CNGC) family affects the uptake of cations, growth, pathogen defence, and thermotolerance in plants. However, the systematic identification, origin and function of this gene family has not been performed in Brassica oleracea, an important vegetable crop and genomic model organism.ResultsIn present study, we identified 26 CNGC genes in B. oleracea genome, which are non-randomly localized on eight chromosomes, and classified into four major (I-IV) and two sub-groups (i.e., IV-a and IV-b). The BoCNGC family is asymmetrically fractioned into the following three sub-genomes: least fractionated (14 genes), most fractionated-I (10), and most fractionated-II (2). The syntenic map of BoCNGC genes exhibited strong relationships with the model Arabidopsis thaliana and B. rapa CNGC genes and provided markers for defining the regions of conserved synteny among the three genomes. Both whole-genome triplication along with segmental and tandem duplications contributed to the expansion of this gene family. We predicted the characteristics of BoCNGCs regarding exon-intron organisations, motif compositions and post-translational modifications, which diversified their structures and functions. Using orthologous Arabidopsis CNGCs as a reference, we found that most CNGCs were associated with various protein–protein interaction networks involving CNGCs and other signalling and stress related proteins. We revealed that five microRNAs (i.e., bol-miR5021, bol-miR838d, bol-miR414b, bol-miR4234, and bol-miR_new2) have target sites in nine BoCNGC genes. The BoCNGC genes were differentially expressed in seven B. oleracea tissues including leaf, stem, callus, silique, bud, root and flower. The transcript abundance levels quantified by qRT-PCR assays revealed that BoCNGC genes from phylogenetic Groups I and IV were particularly sensitive to cold stress and infections with bacterial pathogen Xanthomonas campestris pv. campestris, suggesting their importance in abiotic and biotic stress responses.ConclusionOur comprehensive genome-wide analysis represents a rich data resource for studying new plant gene families. Our data may also be useful for breeding new B. oleracea cultivars with improved productivity, quality, and stress resistance.

Differential gene expression in Anopheles stephensi following infection with drug-resistant Plasmodium yoelii

BackgroundThe transmission of drug-resistant parasites by the mosquito may be influenced by the altered biological fitness of drug-resistant parasites and different immune reactions or metabolic change in the mosquito. At this point, little is known about the variations in mosquito immunity and metabolism when mosquitoes are infected with drug-resistant parasites. To understand the differential gene expression in Anopheles following infection with drug-resistant Plasmodium, we conducted a genome-wide transcriptomic profiling analysis of Anopheles stephensi following feeding on mice with drug-resistant or drug-sensitive P. yoelii, observed changes in gene expression profiles and identified transcripts affected by the drug-resistant parasite.ResultsTo study the impact of drug-resistant Plasmodium infections on An. stephensi gene transcription, we analyzed the three major transition stages of Plasmodium infections: at 24 h and 13 and 19 days after blood-feeding. Six cDNA libraries (R-As24h, R-As13d, R-As19d,S-As24h, S-As13dand S-As19d) were constructed, and RNA sequencing was subsequently performed. In total, approximately 50.1 million raw reads, 47.9 million clean reads and 7.18G clean bases were obtained. Following differentially expressed gene (DEG) analysis, GO enrichment analysis of DEGs, and functional classification by KEGG, we showed that the variations in gene expression in An. stephensi infected by the drug-resistant P. yoelii NSM occurred mainly at 13 days after blood meal during sporozoite migration through the hemolymph. The differentially expressed genes included those functioning in some important immune reaction and iron metabolism pathways, such as pattern recognition receptors, regulators of the JNK pathway, components of the phagosome pathway, regulators of the melanization response, activators of complement reactions, insulin signaling cascade members, oxidative stress and detoxification proteins.ConclusionsOur study shows that drug-resistant P. yoelii NSM has an impact on the transcript abundance levels of An.stephensi mostly at 13 days after blood meal during sporozoite migration through the hemolymph and that most differentially expressed genes were downregulated. Our results highlight the need for a better understanding of selective pressures from these differentially expressed genes of the drug-resistant Plasmodium in the mosquito and the different transmission patterns of drug-resistant Plasmodium by Anopheles.

Non-coding RNA may be associated with cytoplasmic male sterility in Silene vulgaris.

Cytoplasmic male sterility (CMS) is a widespread phenomenon in flowering plants caused by mitochondrial (mt) genes. CMS genes typically encode novel proteins that interfere with mt functions and can be silenced by nuclear fertility-restorer genes. Although the molecular basis of CMS is well established in a number of crop systems, our understanding of it in natural populations is far more limited. To identify CMS genes in a gynodioecious plant, Silene vulgaris, we constructed mt transcriptomes and compared transcript levels and RNA editing patterns in floral bud tissue from female and hermaphrodite full siblings. The transcriptomes from female and hermaphrodite individuals were very similar overall with respect to variation in levels of transcript abundance across the genome, the extent of RNA editing, and the order in which RNA editing and intron splicing events occurred. We found only a single genomic region that was highly overexpressed and differentially edited in females relative to hermaphrodites. This region is not located near any other transcribed elements and lacks an open-reading frame (ORF) of even moderate size. To our knowledge, this transcript would represent the first non-coding mt RNA associated with CMS in plants and is, therefore, an important target for future functional validation studies.

Molecular cloning and expression profiling of multiple Dof genes of Sorghum bicolor (L) Moench.

DNA binding with one finger (Dof) proteins represent a family of plant specific transcription factors associated with diverse biological processes, such as seed maturation and germination, phytohormone and light mediated regulation, and plant responses to biotic and abiotic stresses. In present study, a total of 21 Dof genes from Sorghum bicolor were cloned, sequenced and in silico characterized for homology search, revealing their identity to Dof like proteins. The expression profiling of SbDof genes using quantitative RT-PCR in different tissue types and also under drought and salt stresses was attempted. The SbDof genes displayed differential expression either in their transcript abundance or in their expression patterns under normal growth condition. Two of the SbDof genes namely SbDof8 and SbDof12 showed comparatively high level of transcript abundance in all the tissue types tested; whereas some of the SbDof genes showed a distinct tissue specific expression pattern. Further a total of 13 SbDof genes showed differential expression when subjected to either of the abiotic stress i.e. drought or salinity. Three of the SbDof genes namely SbDof12, SbDof19 and SbDof24 were found to be up-regulated in response to drought and salt stress. Comparative analysis of SbDof genes expression revealed existence of a complex transcriptional and functional diversity across plant growth and developmental stages.

Distribution and localization of 3β-hydroxysteroid dehydrogenase (3β-HSD) in the brain and its regions of the catfish Heteropneustes fossilis

In vertebrates, steroids are synthesized de novo in the central and peripheral nervous system, independent of peripheral steroidogenic glands, such as the adrenal, gonads and placenta. 3β-Hydroxysteroid dehydrogenase/Δ5-Δ4-isomerase (3β-HSD) is a key steroidogenic enzyme in vertebrate gonads, placenta and adrenal. It mediates the oxidation and isomerization reactions of progesterone from pregnenolone, 17-hydroxyprogesterone from 17-hydroxypregnenolone and androstenedione from dehydroepiandrosterone. In the present study, we examined the expression of 3β-HSD cDNA by real time-PCR and localization of the mRNA by in situ hybridization in the brain and its regions during the different phases of the reproductive cycle of the catfish Heteropneustes fossilis. Further, 3β-HSD activity was assayed biochemically to show seasonal variations. We showed significant seasonal and sexual dimorphic changes in the levels of transcript abundance in the whole brain and its regions. In whole brain, level was the highest in post-spawning phase and lowest in spawning phase in males. In females, there was a progressive increase through resting phase to pre-spawning phase, a decline in the spawning phase and increase in the post-spawning phase. In the preparatory phase, the highest transcript level was seen in medulla oblongata and the lowest in pituitary in males. In females, the level was the highest in the hypothalamus and lowest in olfactory bulb and pituitary. However, in the pre-spawning phase, in males it was the highest in telencephalon and hypothalamus and lowest in pituitary. In females, the highest transcript level was in olfactory bulb and lowest in pituitary. 3β-HSD enzyme activity showed significant seasonal variation in the brain, the highest in the resting phase and lowest in the preparatory and spawning phases. In situ hybridization showed the presence of 3β-HSD transcript was especially high in the cerebellum region. The presence of 3β-HSD in the brain may indicate steroidogenesis in the catfish brain.

Identification, cloning and characterization of R2R3-MYB gene family in canola (Brassica napus L.) identify a novel member modulating ROS accumulation and hypersensitive-like cell death.

The R2R3-MYB proteins comprise one of the largest families of transcription factors in plants. Although genome-wide analysis of this family has been carried out in some plant species, little is known about R2R3-MYB genes in canola (Brassica napus L.). In this study, we have identified 76 R2R3-MYB genes in the canola genome through mining of expressed sequence tags (ESTs). The cDNA sequences of 44 MYB genes were successfully cloned. The transcriptional activities of BnaMYB proteins encoded by these genes were assayed in yeast. The subcellular localizations of representative R2R3-MYB proteins were investigated through GFP fusion. Besides, the transcript abundance level analysis during abiotic conditions and ABA treatment identified a group of R2R3-MYB genes that responded to one or more treatments. Furthermore, we identified a previously functionally unknown MYB gene-BnaMYB78, which modulates reactive oxygen species (ROS)-dependent cell death in Nicotiana benthamiana, through regulating the transcription of a few ROS- and defence-related genes. Taken together, this study has provided a solid foundation for understanding the roles and regulatory mechanism of canola R2R3-MYB genes.

Empirical Bayes analysis of RNA-seq data for detection of gene expression heterosis.

An important type of heterosis, known as hybrid vigor, refers to the enhancements in the phenotype of hybrid progeny relative to their inbred parents. Although hybrid vigor is extensively utilized in agriculture, its molecular basis is still largely unknown. In an effort to understand phenotypic heterosis at the molecular level, researchers are measuring transcript abundance levels of thousands of genes in parental inbred lines and their hybrid offspring using RNA sequencing (RNA-seq) technology. The resulting data allow researchers to search for evidence of gene expression heterosis as one potential molecular mechanism underlying heterosis of agriculturally important traits. The null hypotheses of greatest interest in testing for gene expression heterosis are composite null hypotheses that are difficult to test with standard statistical approaches for RNA-seq analysis. To address these shortcomings, we develop a hierarchical negative binomial model and draw inferences using a computationally tractable empirical Bayes approach to inference. We demonstrate improvements over alternative methods via a simulation study based on a maize experiment and then analyze that maize experiment with our newly proposed methodology. This article has supplementary material online.

Detecting Differentially Expressed Genes with RNA-seq Data Using Backward Selection to Account for the Effects of Relevant Covariates.

A common challenge in analysis of transcriptomic data is to identify differentially expressed genes, i.e., genes whose mean transcript abundance levels differ across the levels of a factor of scientific interest. Transcript abundance levels can be measured simultaneously for thousands of genes in multiple biological samples using RNA sequencing (RNA-seq) technology. Part of the variation in RNA-seq measures of transcript abundance may be associated with variation in continuous and/or categorical covariates measured for each experimental unit or RNA sample. Ignoring relevant covariates or modeling the effects of irrelevant covariates can be detrimental to identifying differentially expressed genes. We propose a backward selection strategy for selecting a set of covariates whose effects are accounted for when searching for differentially expressed genes. We illustrate our approach through the analysis of an RNA-seq study intended to identify genes differentially expressed between two lines of pigs divergently selected for residual feed intake. We use simulation to show the advantages of our backward selection procedure over alternative strategies that either ignore or adjust for all measured covariates.

Genome-wide identification of pear HD-Zip gene family and expression patterns under stress induced by drought, salinity, and pathogen

Homeodomain-leucine zipper (HD-Zip) transcription factor genes are unique in the plant kingdom. Studies have shown that HD-Zip transcription factor has four subfamilies (subfamilies I–IV), and each subfamily exerts similar or diverse functions in the growth and development as well as environmental stress responses of plants. Although a genome-wide analysis of this transcription factor has been performed in some species, systematic identification of sequences and expression patterns under biotic and abiotic stress have not been carried out in pear. In this study, we identified 52 putative HD-Zip genes within the pear genome. Based on the phylogenetic analysis, HD-Zip transcription factors were classified into four subfamilies: 18, 13, 5, and 16 members were identified separately in subfamilies I, II, III, and IV, respectively. Genes in the same subfamily shared the constituent structure and conserved motifs, thereby implying that the HD-Zip genes that shared similar structures may exert similar functions. Moreover, abundant stress-related and pathogen-related cis-elements were observed in the promoter region of the pear HD-Zip I and II genes. Transcript abundance level of 20 selected HD-Zip I and II genes were analyzed by quantitative real-time RT-PCR (qRT-PCR) during the infection of Alternaria alternata, and abiotic stress conditions such as drought and salinity treatment. The results confirmed that some genes display stress-inducible and pathogen-inducible expression patterns.

Abstract 2212: Super-enhancer landscapes specify molecular subtypes and novel targets in acute myeloid leukemia

Abstract AML is a highly genotypically and phenotypically heterogeneous cancer with many subtypes of the disease currently lacking clear targeted therapies. While several genetic alterations currently serve to stratify patients into prognostic subgroups and guide treatment decisions, the classification and treatment options for AML patients remain unsatisfactory. Numerous genome-wide analyses have provided evidence linking recurring genetic mutations in de novo AML to perturbations in epigenomic signaling, transcriptional regulation, and post-transcriptional mRNA processing, indicating that misregulation of gene expression is a key molecular feature of AML pathogenesis yet the diagnostic value and clinical utility of these findings remain unclear. Recently, a novel class of densely clustered cis-regulatory elements termed super-enhancers have emerged as key effectors initiating and maintaining cell type-specific gene expression in a variety of physiological and disease settings, including cancer. Tumor-specific super-enhancers regulate expression of key oncogenes and other cancer-essential genes, providing a novel strategy for detecting both known and unrecognized cancer dependencies of high diagnostic and therapeutic value. Here we describe the discovery and characterization of super-enhancer domains across a large cohort of AML patients and relevant normal hematopoietic stem and progenitor cell controls. To this end, we profiled over 60 primary samples at both the level of epigenomic activity and transcript abundance and identify transcriptionally hyperactive regions in AML patients compared to normal healthy donors. By combining patient-specific super-enhancer landscapes with gene expression profiles, we elucidate the transcription factor repertoires controlling chromatin dynamics and lineage specification in cellular derivatives of normal hematopoietic development and purified AML samples. Further analyses yield a striking delineation of disease-unique transcriptional subtypes which are specified by distinct patterns of super-enhancers at well-known AML-related genes such as HOXA9, MEIS1, ETV6, and HOXB3. In addition, we identify clusters of AML cases with shared super-enhancer domains suggesting convergence on common key drivers of AML. Together, our results provide the biological and disease relevance of super-enhancers in the context of normal and tumor cell states and demonstrate how the comprehensive mapping of gene regulatory elements elucidate clinically relevant subtypes and new therapeutic targets in AML. Citation Format: Matthew Eaton, Ryan Corces-Zimmerman, Jeremy Lopez, Christian Fritz, Eric Olson, Ravindra Majeti, Jakob Loven. Super-enhancer landscapes specify molecular subtypes and novel targets in acute myeloid leukemia. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2212. doi:10.1158/1538-7445.AM2015-2212

Cautions about the reliability of pairwise gene correlations based on expression data.

Background: Rapid growth in the availability of genome-wide transcript abundance levels through gene expression microarrays and RNAseq promises to provide deep biological insights into the complex, genome-wide transcriptional behavior of single-celled organisms. However, this promise has not yet been fully realized.Results: We find that computation of pairwise gene associations (correlation; mutual information) across a set of 2782 total genome-wide expression samples from six diverse bacteria produces unexpectedly large variation in estimates of pairwise gene association—regardless of the metric used, the organism under study, or the number and source of the samples. We pinpoint the cause to sampling bias. In particular, in repositories of expression data (e.g., Gene Expression Omnibus, GEO), many individual genes show small differences in absolute gene expression levels across the set of samples. We demonstrate that these small differences are due mainly to “noise” instead of “signal” attributable to environmental or genetic perturbations. We show that downstream analysis using gene expression levels of genes with small differences yields biased estimates of pairwise association.Conclusions: We propose flagging genes with small differences in absolute, RMA-normalized, expression levels (e.g., standard deviation less than 0.5), as potentially yielding biased pairwise association metrics. This strategy has the potential to substantially improve the confidence in genome-wide conclusions about transcriptional behavior in bacterial organisms. Further work is needed to further refine strategies to identify genes with small difference in expression levels prior to computing gene-gene association metrics.

Molecular characterization of BZR transcription factor family and abiotic stress induced expression profiling in Brassica rapa

BRASSINAZOLE-RESISTANT (BZR) transcription factors (TFs) are primarily well known as positive regulators of Brassinosteroid (BR) signal transduction in different plants. BR is a plant specific steroid hormone, which has multiple stress resistance functions besides various growth regulatory roles. Being an important regulator of the BR synthesis, BZR TFs might have stress resistance related activities. However, no stress resistance related functional study of BZR TFs has been reported in any crop plants so far. Therefore, this study identified 15 BZR TFs of Brassica rapa (BrBZR) from a genome-wide survey and characterized them through sequence analysis and expression profiling against several abiotic stresses. Various systematic in silico analysis of these TFs validated the fundamental properties of BZRs, where a high degree of similarity also observed with recognized BZRs of other plant species from the comparison studies. In the organ specific expression analyses, 6 BrBZR TFs constitutively expressed in flower developmental stages indicating their flower specific functions. Subsequently, from the stress resistance related expression profiles differential transcript abundance levels were observed by 6 and 11 BrBZRs against salt and drought stresses, respectively. All BrBZRs showed several folds up-regulation against exogenous ABA treatment. All BrBZRs also showed differential expression against low temperature stress treatments and these TFs were proposed as transcriptional activators of CBF cold response pathway of B. rapa. Notably, three BrBZRs gave co-responsive expression against all the stresses tested here, suggesting their multiple stress resistance related functions. Thus, the findings would be helpful in resolving the complex regulatory mechanism of BZRs in stress resistance and further functional genomics study of these potential TFs in different Brassica crops.

Transcript abundance, glutathione and apoptosis levels differ between porcine oocytes collected from prepubertal and cyclic gilts

It is well known that puberty has a strong impact on oocyte developmental competence in vitro; however, the reason for this phenomenon at the cellular level has not been clarified yet. It is hypothesized that cytoplasmic maturation is responsible for oocyte quality and may be impaired in prepubertal gilts. Previous results on mitochondrial DNA copy number and mitochondria and cortical granule distribution showed that cytoplasmic maturation is a complex trait and should include multithreaded analysis. Therefore, the aim of the present research was to analyze the transcript abundance of developmentally important genes (BMP15, GDF9, GSTA2, ATP5A1, EEF1A1, BAX, BCL2) followed by investigation of the glutathione and apoptosis level in oocytes of prepubertal and cyclic gilts. We found differences in relative transcript abundance of BMP15 and GDF9 genes after IVM, whereas different concentrations of glutathione were noted before IVM (5.3 vs. 2.9 pmol, respectively). The glutathione level was equalized after IVM (10.3 vs. 9.1 pmol), whereas the incidence of apoptosis remained similar before (3.9% vs. 1.1%) and after IVM (4.5% vs. 1.9%) being higher in prepubertal oocytes. A potential impact of gilt puberty on oocyte quality has been therefore masked by the significant effect of IVM. Because the maternal effect genes, BMP15 and GDF9, play key roles in regulation of folliculogenesis and oocyte–cumulus interaction, their upregulation in oocytes of cyclic gilts may result in increased developmental competence. On the basis of findings from this and our previous research, we suggest that the reduced quality of oocytes from prepubertal females is a complex phenomenon and is not related to a single marker trait.

83 STAGE-SPECIFIC PROTEOME SIGNATURES IN EARLY BOVINE EMBRYO DEVELOPMENT

Development of early embryonic stages before activation of the embryonic genome depends on sufficiently stored products of the maternal genome and adequate activation, deactivation, and relocation of proteins. To establish protein function, several posttranslational events (e.g. proteolytic activation, phosphorylation, or secretion) are frequently essential and thereby prevent prediction of protein abundance from transcript abundance. Consequently, proteomic studies are indispensable to characterise the molecular processes governing early embryonic development and to establish corresponding regulatory networks. Here, we present a quantitative proteome analysis of bovine zygotes and embryos at the 2-cell and 4-cell stage. Cumulus-oocyte complexes (COC) were prepared from bovine ovaries obtained from a local abattoir and selected for a compact layer of cumulus cells. In vitro maturation, fertilization, and embryo production were performed according to standard procedures. For quantitative isobaric tags for relative and absolute quantitation (iTRAQ)-liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, protein from batches of 50 MII oocytes (serving as a reference), zygotes, 2-cell and 4-cell stage embryos, respectively, was extracted. Quantitative proteome analysis of iTRAQ-labelled tryptic peptides was performed on an Orbitrap XL instrument (Thermo Fisher, Waltham, MA, USA) coupled to an Eksigent nano-liquid chromatography system (AB Sciex, Framingham, MA, USA). The tandem MS data were analysed by MASCOT and filtered for a false discovery rate (FDR) of <1%. Quantification of iTRAQ signals was accomplished with the Q+ module of the Scaffold software (Proteome Software Inc., Portland, OR, USA). t-Tests, ANOVA and principal component analysis (PCA) analysis were performed using R (R Core Development Team, Vienna, Austria). From 4 biological replicates, 1072 proteins were identified and quantified. Eighty-seven differed significantly in abundance between the 4 stages (log2 fold change ≥ |0.6|, P ≤ 0.05). The proteomes of 2-cell and 4-cell embryos differed most from the reference MII oocyte, and a considerable fraction of proteins continuously increases in abundance during the stages analysed. Bioinformatic analysis of abundance altered proteins provided evidence that the proteins RPS14 and HNRNPK involved in the p53 pathway play a major role during early development, as well as proteins of the lipid metabolism, in particular APOA1. Furthermore, a group of proteins (e.g. SPTBN1, PPP1CC, RABGAP1, STMN1, and WEE2) is engaged in mitosis. In addition, we detected relevant differences between transcript and protein abundance levels; for example, for WEE2. In conclusion, this study identified and quantified numerous proteins important for early embryogenesis so far not described in the mammalian system, and contributed protein profiles for key players previously described. Our results highlight the importance of innovative proteomic tools and workflows to complement transcriptome data of early embryogenesis.

Genome-wide analysis of citrus R2R3MYB genes and their spatiotemporal expression under stresses and hormone treatments.

The R2R3MYB proteins represent one of the largest families of transcription factors, which play important roles in plant growth and development. Although genome-wide analysis of this family has been conducted in many species, little is known about R2R3MYB genes in citrus, In this study, 101 R2R3MYB genes has been identified in the citrus (Citrus sinesis and Citrus clementina) genomes, which are almost equal to the number of rice. Phylogenetic analysis revealed that they could be subdivided into 21 subgroups. The evolutionary relationships and the intro-exon organizations were also analyzed, revealing strong gene conservation but also the expansions of particular functional genes during the plant evolution. Tissue-specific expression profiles showed that 95 citrus R2R3MYB genes were expressed in at least one tissue and the other 6 genes showed very low expression in all tissues tested, suggesting that citrus R2R3MYB genes play important roles in the development of all citrus organs. The transcript abundance level analysis during abiotic conditions (NaCl, abscisic acid, jasmonic acid, drought and low temperature) identified a group of R2R3MYB genes that responded to one or multiple treatments, which showed a promising for improving citrus adaptation to stresses. Our results provided an essential foundation for the future selection of the citrus R2R3MYB genes for cloning and functional dissection with an aim of uncovering their roles in citrus growth and development.

Expression profiling of selected glutathione transferase genes in Zea mays (L.) seedlings infested with cereal aphids.

The purpose of this report was to evaluate the expression patterns of selected glutathione transferase genes (gst1, gst18, gst23 and gst24) in the tissues of two maize (Zea mays L.) varieties (relatively resistant Ambrozja and susceptible Tasty Sweet) that were colonized with oligophagous bird cherry-oat aphid (Rhopalosiphum padi L.) or monophagous grain aphid (Sitobion avenae L.). Simultaneously, insect-triggered generation of superoxide anion radicals (O2 •−) in infested Z. mays plants was monitored. Quantified parameters were measured at 1, 2, 4, 8, 24, 48 and 72 h post-initial aphid infestation (hpi) in relation to the non-infested control seedlings. Significant increases in gst transcript amounts were recorded in aphid-stressed plants in comparison to the control seedlings. Maximal enhancement in the expression of the gst genes in aphid-attacked maize plants was found at 8 hpi (gst23) or 24 hpi (gst1, gst18 and gst24) compared to the control. Investigated Z. mays cultivars formed excessive superoxide anion radicals in response to insect treatments, and the highest overproduction of O2 •− was noted 4 or 8 h after infestation, depending on the aphid treatment and maize genotype. Importantly, the Ambrozja variety could be characterized as having more profound increments in the levels of gst transcript abundance and O2 •− generation in comparison with the Tasty Sweet genotype.

MRNA Transcript abundance during plant growth and the influence of Li+ exposure

Lithium (Li) toxicity in plants is, at a minimum, a function of Li+ concentration, exposure time, species and growth conditions. Most plant studies with Li+ focus on short-term acute exposures. This study examines short- and long-term effects of Li+ exposure in Arabidopsis with Li+ uptake studies and measured shoot mRNA transcript abundance levels in treated and control plants. Stress, pathogen-response and arabinogalactan protein genes were typically more up-regulated in older (chronic, low level) Li+-treatment plants and in the much younger plants from acute high-level exposures. The gene regulation behavior of high-level Li+ resembled prior studies due to its influence on: inositol synthesis, 1-aminocyclopropane-1-carboxylate synthases and membrane ion transport. In contrast, chronically-exposed plants had gene regulation responses that were indicative of pathogen, cold, and heavy-metal stress, cell wall degradation, ethylene production, signal transduction, and calcium-release modulation. Acute Li+ exposure phenocopies magnesium-deficiency symptoms and is associated with elevated expression of stress response genes that could lead to consumption of metabolic and transcriptional energy reserves and the dedication of more resources to cell development. In contrast, chronic Li+ exposure increases expression signal transduction genes. The identification of new Li+-sensitive genes and a gene-based “response plan” for acute and chronic Li+ exposure are delineated.

Genome-wide DNA methylation patterns in LSH mutant reveals de-repression of repeat elements and redundant epigenetic silencing pathways.

Cytosine methylation is critical in mammalian development and plays a role in diverse biologic processes such as genomic imprinting, X chromosome inactivation, and silencing of repeat elements. Several factors regulate DNA methylation in early embryogenesis, but their precise role in the establishment of DNA methylation at a given site remains unclear. We have generated a comprehensive methylation map in fibroblasts derived from the murine DNA methylation mutant Hells−/− (helicase, lymphoid specific, also known as LSH). It has been previously shown that HELLS can influence de novo methylation of retroviral sequences and endogenous genes. Here, we describe that HELLS controls cytosine methylation in a nuclear compartment that is in part defined by lamin B1 attachment regions. Despite widespread loss of cytosine methylation at regulatory sequences, including promoter regions of protein-coding genes and noncoding RNA genes, overall relative transcript abundance levels in the absence of HELLS are similar to those in wild-type cells. A subset of promoter regions shows increases of the histone modification H3K27me3, suggesting redundancy of epigenetic silencing mechanisms. Furthermore, HELLS modulates CG methylation at all classes of repeat elements and is critical for repression of a subset of repeat elements. Overall, we provide a detailed analysis of gene expression changes in relation to DNA methylation alterations, which contributes to our understanding of the biological role of cytosine methylation.

Identification and expression analysis of WRKY family genes under biotic and abiotic stresses in Brassica rapa.

WRKY proteins constitute one of the largest transcription factor families in higher plants, and they are involved in multiple biological processes such as plant development, metabolism, and responses to biotic and abiotic stresses. Genes of this family have been well documented in response to many abiotic and biotic stresses in many plant species, but not yet against Pectobacterium carotovorum subsp. carotovorum and Fusarium oxysporum f.sp. conglutinans in any of the plants. Moreover, potentiality of a specific gene may vary depending on stress conditions and genotypes. To identify stress resistance-related potential WRKY genes of Brassica rapa, we analyzed their expressions against above-mentioned pathogens and cold, salt, and drought stresses in B. rapa. Stress resistance-related functions of all Brassica rapa WRKY (BrWRKY) genes were firstly analyzed through homology study with existing biotic and abiotic stress resistance-related WRKY genes of other plant species and found a high degree of homology. We then identified all BrWRKY genes in a Br135K microarray dataset, which was created by applying low-temperature stresses to two contrasting Chinese cabbage doubled haploid (DH) lines, Chiifu and Kenshin, and selected 41 BrWRKY genes with high and differential transcript abundance levels. These selected genes were further investigated under cold, salt, and drought stresses as well as after infection with P. carotovorum subsp. carotovorum and F. oxysporum f.sp. conglutinans in B. rapa. The selected genes showed an organ-specific expression, and 22 BrWRKY genes were differentially expressed in Chiifu compared to Kenshin under cold and drought stresses. Six BrWRKY genes were more responsive in Kenshin compared to Chiffu under salt stress. In addition, eight BrWRKY genes showed differential expression after P. carotovorum subsp. carotovorum infection and five genes after F. oxysporum f.sp. conglutinans infection in B. rapa. Thus, the differentially expressed BrWRKY genes might be potential resources for molecular breeding of Brassica crops against abiotic and biotic stresses and several genes, which showed differential expressions commonly in response to several stresses, might be useful for multiple stress resistance. These findings would also be helpful in resolving the complex regulatory mechanism of WRKY genes in stress resistance and for this further functional genomics study of these potential genes in different Brassica crops is essential.

Genome-wide identification and characterization of R2R3MYB family in Solanum lycopersicum.

The R2R3MYB proteins comprise one of the largest families of transcription factors and play regulatory roles in developmental processes and defense responses in plants. However, there has been relatively little effort to systematically carry out comprehensive genomic and functional analyses of these genes in tomato (Solanum lycopersicum L.), a reference species for Solanaceae plants, and the model plant for fruit development. In this study, a total of 121 R2R3MYB genes were identified in the tomato genome released recently and further classified into 29 subgroups based on the phylogenetic analysis of the complete protein sequences. Phylogenetic comparison of the members of this superfamily among tomato, Arabidopsis, grape, rice, poplar, soybean, cucumber and apple revealed that the putative functions of some tomato R2R3MYB proteins were clustered into the Arabidopsis functional clades. The chromosome distribution pattern revealed that tomato R2R3MYB genes were enriched on several chromosomes and 52 % of the family members were tandemly duplicated genes. Tissue specificity or different expression levels of SlR2R3MYBs in different tissues suggested differential regulation of tissue development as well as metabolic regulation. The transcript abundance level analysis during abiotic conditions identified a group of R2R3MYB genes that responded to one or more treatments suggesting that the SlR2R3MYBs played major roles in the plant response to abiotic conditions and involved in signal transduction pathways. This study not only provides a solid foundation for further functional dissection of tomato R2R3MYB family genes, but may also be profitable for, in the future, the improvement of tomato stress tolerance and fruit quality.