Högskolan i Skövde

Background: Melatonin plays a pivotal role in alleviating abiotic stresses, yet its biosynthesis regulation in crops, particularly wheat, remains unclear. This study explores regulatory components of melatonin biosynthesis under drought stress using bioinformatic, physiochemical, and molecular approaches in contrasting wheat genotypes.

Results: Bioinformatic analysis identified SNAT, a key melatonin biosynthesis gene, and 88 transcription factors (TFs) from 26 families as potential regulators. The regulatory network for SNAT highlighted CYTOKININ-RESPONSIVE GATA FACTOR 1 (CGA1) as a significant TF. Under drought stress, contrasting wheat genotypes exhibited distinct CGA1-SNAT module expression, melatonin and cytokinin levels, photosynthetic activity, and oxidative damage. Cytokinin treatments regulated the CGA1-SNAT module, altering melatonin content, SPAD values, and chloroplast numbers, particularly in drought-susceptible genotypes.

Conclusions: This study uncovers the pivotal role of the CGA1-SNAT module and its interaction with the cytokinin pathway in regulating melatonin biosynthesis during drought stress. These findings enhance our understanding of the molecular mechanisms underpinning drought tolerance and offer promising targets for genetic and biochemical interventions to improve crop resilience.

Recognized for its multifaceted functions, melatonin is a hormone found in both animals and plants. In the plant kingdom, it plays diverse roles, regulating growth, development, and stress responses. Notably, melatonin demonstrates its significance by mitigating the effects of abiotic stresses like drought. However, understanding the precise regulatory mechanisms controlling melatonin biosynthesis genes, especially during monocots' response to stresses, requires further exploration. Seeking to understand the molecular basis of drought stress tolerance in wheat, we analyzed RNA-Seq libraries of wheat exposed to drought stress using bioinformatics methods. In light of our findings, we identified that the Myelocytomatosis oncogenes 2 (MYC2) transcription factor is a hub gene upstream of a main melatonin biosynthesis gene, N-acetylserotonin methyltransferase (ASMT), in the wheat drought response-gene network. Promoter analysis of the ASMT gene suggested that it might be a target gene of MYC2. We conducted a set of molecular and physiochemical assays along with robust machine learning approaches to elevate those findings further. MYC2 and ASMT were co-regulated under Jasmonate, drought, and a combination of them in the leaf tissues of wheat was detected. A meaningful correlation was observed among gene expression profiles, melatonin contents, photosynthetic activities, antioxidant enzyme activities, H2O2 levels, and plasma membrane damage. The results indicated an evident relationship between jasmonic acid and the melatonin biosynthesis pathway. Moreover, it seems that the MYC2-ASMT module might contribute to wheat drought tolerance by regulating melatonin contents. 

MAIN CONCLUSION: Enhanced levels of endogenous melatonin in the root of wheat, mainly through the OMT1 gene, augment the antioxidant system, reestablish redox homeostasis and are associated with combined stress tolerance. A systems biology approach, including a collection of computational analyses and experimental assays, led us to uncover some aspects of a poorly understood phenomenon, namely wheat (Triticum aestivum L.) combined drought and salinity stress tolerance. Accordingly, a cross-study comparison of stress experiments was performed via a meta-analysis of Expressed Sequence Tags (ESTs) data from wheat roots to uncover the overlapping gene network of drought and salinity stresses. Identified differentially expressed genes were functionally annotated by gene ontology enrichment analysis and gene network analysis. Among those genes, O-methyl transferase 1 (OMT1) was highlighted as a more important (hub) gene in the dual-stress response gene network. Afterwards, the potential roles of OMT1 in mediating physiochemical indicators of stress tolerance were investigated in two wheat genotypes differing in abiotic stress tolerance. Regression analysis and correspondence analysis (CA) confirmed that the expression profiles of the OMT1 gene and variations in melatonin content, antioxidant enzyme activities, proline accumulation, H₂O₂ and malondialdehyde (MDA) contents are significantly associated with combined stress tolerance. These results reveal that the OMT1 gene may contribute to wheat combined drought and salinity stress tolerance through augmenting the antioxidant system and re-establishing redox homeostasis, probably via the regulation of melatonin biosynthesis as a master regulator molecule. Our findings provide new insights into the roles of melatonin in wheat combined drought and salinity stress tolerance and suggest a novel plausible regulatory node through the OMT1 gene to improve multiple-stress tolerant crops.

Melatonin is a master regulator of diverse biological processes, including plant's abiotic stress responses and tolerance. Despite the extensive information on the role of melatonin in response to abiotic stress, how plants regulate endogenous melatonin content under stressful conditions remains largely unknown. In this study, we computationally mined Expressed Sequence Tag (EST) libraries of salinity-exposed Chinese cabbage (Brassica rapa) to identify the most reliable differentially expressed miRNA and its target gene(s). In light of these analyses, we found that miR168a potentially targets a key melatonin biosynthesis gene, namely O-METHYLTRANSFERASE 1 (OMT1). Accordingly, molecular and physiochemical evaluations were performed in a separate salinity experiment using contrasting B. rapa genotypes. Then, the association between B. rapa salinity tolerance and changes in measured molecular and physiochemical characteristics was determined. Results indicated that the expression profiles of miR168a and OMT1 significantly differed between B. rapa genotypes. Moreover, the expression profiles of miR168a and OMT1 significantly correlated with more melatonin content, robust antioxidant activities, and better ion homeostasis during salinity stress. Our results suggest that miR168a plausibly mediates melatonin biosynthesis, mainly through the OMT1 gene, under salinity conditions and thereby contributes to the salinity tolerance of B. rapa. To our knowledge, this is the first report on the role of miR168a and OMT1 in B. rapa salinity response.

The hippocampus has been shown to have a major role in learning and memory, but also to participate in the regulation of emotions. However, its specific role(s) in memory is still unclear. Hippocampal damage or dysfunction mainly results in memory issues, especially in the declarative memory but, in animal studies, has also shown to lead to hyperactivity and difficulty in inhibiting responses previously taught. The brain structure is affected in neuropathological disorders, such as Alzheimer’s, epilepsy, and schizophrenia, and also by depression and stress. The hippocampus structure is far from mature at birth and undergoes substantial development throughout infant and juvenile life. The aim of this study was to survey genes highly expressed throughout the postnatal period in mouse hippocampus and which have also been linked to an abnormal phenotype through mutational studies to achieve a greater understanding about hippocampal functions during postnatal development. Publicly available gene expression data from C57BL/6 mouse hippocampus was analyzed; from a total of 5 time points (at postnatal day 1, 10, 15, 21, and 30), 547 genes highly expressed in all of these time points were selected for analysis. Highly expressed genes are considered to be of potential biological importance and appear to be multifunctional, and hence any dysfunction in such a gene will most likely have a large impact on the development of abilities during the postnatal and juvenile period. Phenotypic annotation data downloaded from Mouse Genomic Informatics database were analyzed for these genes, and the results showed that many of them are important for proper embryo development and infant survival, proper growth, and increase in body size, as well as for voluntary movement functions, motor coordination, and balance. The results also indicated an association with seizures that have primarily been characterized by uncontrolled motor activity and the development of proper grooming abilities. The complete list of genes and their phenotypic annotation data have been compiled in a file for easy access.

Co-occurrence of abiotic stresses, especially drought and salinity, is a natural phenomenon in field conditions and is worse for crop production than any single stress. Nowadays, rigorous methods of meta-analysis and systems biology have made it possible to perform cross-study comparisons of single stress experiments, which can uncover main overlapping mechanisms underlying tolerance to combined stress. In this study, a meta-analysis of RNA-Seq data was conducted to obtain the overlapping gene network of drought and salinity stresses in barley (Hordeum vulgare L.), which identified Rubisco activase A (RcaA) as a hub gene in the dual-stress response. Thereafter, a greenhouse experiment was carried out using two barley genotypes with different abiotic stress tolerance and evaluated several physiochemical properties as well as the expression profile and protein activity of RcaA. Finally, machine learning analysis was applied to uncover relationships among combined stress tolerance and evaluated properties. We identified 441 genes which were differentially expressed under both drought and salinity stress. Results revealed that the photosynthesis pathway and, in particular, the RcaA gene are major components of the dual-stress responsive transcriptome. Comparative physiochemical and molecular evaluations further confirmed that enhanced photosynthesis capability, mainly through regulation of RcaA expression and activity as well as accumulation of proline content, have a significant association with combined drought and salinity stress tolerance in barley. Overall, our results clarify the importance of RcaA in combined stress tolerance and may provide new insights for future investigations. 

BACKGROUND: Neuroblastoma (NB) is a childhood neural crest tumor. There are two groups of aggressive NBs, one with MYCN amplification, and another with 11q chromosomal deletion; these chromosomal aberrations are generally mutually exclusive. The DLG2 gene resides in the 11q-deleted region, thus makes it an interesting NB candidate tumor suppressor gene. METHODS: We evaluated the association of DLG2 gene expression in NB with patient outcomes, stage and MYCN status, using online microarray data combining independent NB patient data sets. Functional studies were also conducted using NB cell models and the fruit fly. RESULTS: Using the array data we concluded that higher DLG2 expression was positively correlated to patient survival. We could also see that expression of DLG2 was inversely correlated with MYCN status and tumor stage. Cell proliferation was lowered in both 11q-normal and 11q-deleted NB cells after DLG2 over expression, and increased in 11q-normal NB cells after DLG2 silencing. Higher level of DLG2 increased the percentage of cells in the G2/M phase and decreased the percentage of cells in the G1 phase. We detected increased protein levels of Cyclin A and Cyclin B in fruit fly models either over expressing dMyc or with RNAi-silenced dmDLG, indicating that both events resulted in enhanced cell cycling. Induced MYCN expression in NB cells lowered DLG2 gene expression, which was confirmed in the fly; when dMyc was over expressed, the dmDLG protein level was lowered, indicating a link between Myc over expression and low dmDLG level. CONCLUSION: We conclude that low DLG2 expression level forces cell cycle progression, and that it predicts poor NB patient survival. The low DLG2 expression level could be caused by either MYCN-amplification or 11q-deletion. Video Abstract.

Studying the drought-responsive transcriptome is of high interest as it can serve as a blueprint for stress adaptation strategies. Despite extensive studies in this area, there are still many details to be uncovered, such as the importance of each gene involved in the stress response as well as the relationship between these genes and the physiochemical processes governing stress tolerance. This study was designed to address such important details and to gain insights into molecular responses of barley (Hordeum vulgare L.) to drought stress. To that, we combined RNA-seq data analysis with field and greenhouse drought experiments in a systems biology approach. RNA-sequence analysis identified a total of 665 differentially expressed genes (DEGs) belonging to diverse functional categories. A gene network was derived from the DEGs, which comprised of a total of 131 nodes and 257 edges. Gene network topology analysis highlighted two programmed cell death (PCD) modulating genes, MC1 (metacaspase 1) and TSN1 (Tudor-SN 1), as important (hub) genes in the predicted network. Based on the field trial, a drought-tolerant and a drought-susceptible barley genotype was identified from eight tested cultivars. Identified genotypes exhibited different physiochemical characteristics, including proline content, chlorophyll concentration, percentage of electrolyte leakage and malondialdehyde content as well as expression profiles of MC1 and TSN1 genes. Machine learning and correspondence analysis revealed a significant relationship between drought tolerance and measured characteristics in the context of PCD. Our study provides new insights which bridge barley drought tolerance to PCD through MC1 and TSN1 pathway.

Understanding how plants respond to salinity stress is essential for developing tolerant genotypes, to keep human food secure since it is threaten by climate changes and increasing population worldwide. Barley (Hordeum vulgare) is a crop that possesses various salinity tolerance mechanisms that remain to be explored. In this study, data from an RNA-Seq experiment in barley was analyzed to identify changes in genome activities as well as differentially expressed genes (DEGs) in response to salinity stress. A gene network was predicted among identified DEGs and was subjected to network topology analysis, which resulted in the prediction of a hub gene, namely low expression of osmotically responsive gene 2 (LOS2). LOS2 and its two hierarchical downstream genes, salt-tolerant zinc finger (ZAT10) and ascorbate peroxidase 1 (APX1), were used in a genome-wide association (GWA) survey to confirm their importance. A field experiment was conducted to recognize susceptible and tolerant genotypes among 10 different barley genotypes based on the principle component analysis (PCA) of stress-related indices. In a separate salinity experiment, two of the genotypes were assessed to assign their physiological and biochemical responses as well as to identify expression profiles of LOS2, ZAT10, and APX1. From the results, the activity of the barley genome was significantly altered toward response to stress. In total, 5692 DEGs were identified and the gene network derived from these genes contained 131 nodes and 257 edges. The identified genotypes clearly showed the difference in water status, osmolyte accumulation, cell membrane damages, and ion homeostasis as well as in expression profiles for studied genes during salinity stress. Our results suggest that LOS2 along with the ZAT10 and APX1 genes may serve as an important part of barley salinity stress tolerance pathways. To our knowledge, this is the first report on the role(s) of LOS2 in barley salinity stress tolerance in a gene network system.

Cis regulatory elements (CREs), located within promoter regions, play a significant role in the blueprint for transcriptional regulation of genes. There is a growing interest to study the combinatorial nature of CREs including presence or absence of CREs, the number of occurrences of each CRE, as well as of their order and location relative to their target genes. Comparative promoter analysis has been shown to be a reliable strategy to test the significance of each component of promoter architecture. However, it remains unclear what level of difference in the number of occurrences of each CRE is of statistical significance in order to explain different expression patterns of two genes. In this study, we present a novel statistical approach for pairwise comparison of promoters of Arabidopsis genes in the context of number of occurrences of each CRE within the promoters. First, using the sample of 1000 Arabidopsis promoters, the results of the goodness of fit test and non-parametric analysis revealed that the number of occurrences of CREs in a promoter sequence is Poisson distributed. As a promoter sequence contained functional and non-functional CREs, we addressed the issue of the statistical distribution of functional CREs by analyzing the ChIP-seq datasets. The results showed that the number of occurrences of functional CREs over the genomic regions was determined as being Poisson distributed. In accordance with the obtained distribution of CREs occurrences, we suggested the Audic and Claverie (AC) test to compare two promoters based on the number of occurrences for the CREs. Superiority of the AC test over Chi-square (2 2) and Fisher’s exact tests was also shown, as the AC test was able to detect a higher number of significant CREs. The two case studies on the Arabidopsis genes were performed in order to biologically verify the pairwise test for promoter comparison. Consequently, a number of CREs with significantly different occurrences was identified between the promoters. The results of the pairwise comparative analysis together with the expression data for the studied genes revealed the biological significance of the identified CREs.