scholarly journals Analyses of Key Gene Networks Controlling Carotenoid Metabolism in Xiangfen 1 Banana

2021 ◽  
Author(s):  
Chen Dong ◽  
Jiuxiang Wang ◽  
Yulin Hu ◽  
Weijun Xiao ◽  
Huigang Hu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Fruit Development ◽  
Gene Networks ◽  
Physiological Role ◽  
Carotenoid Content ◽  
Banana Fruit ◽  
Genome Wide ◽  
Transcription Factor Genes ◽  
Key Enzyme ◽  
Late Stages

Abstract Background: Banana fruits are rich in various high-value metabolites and play a key role in the human diet. Of these components, carotenoids have attracted considerable attention due to their physiological role and human health care functions. However, the accumulation patterns of carotenoids and genome-wide analysis of gene expression during banana fruit development have not been comprehensively evaluated. Results: In the present study, an integrative analysis of metabolome and transcriptome profiles in banana fruit with three different development stages was performed. A total of 11 carotenoid compounds were identified, and most of these compounds showed markedly higher abundances in mature green and/or mature fruit than in young fruit. Results were linked to the high expression of carotenoid synthesis and regulatory genes in the middle and late stages of fruit development. Co-expression network analysis revealed that 79 differentially expressed transcription factor genes may be responsible for the regulation of LCYB, a key enzyme catalyzing the biosynthesis of α- and β-carotene. Conclusions: Collectively, the study provided new insights into the understanding of dynamic changes in carotenoid content and gene expression level during banana fruit development.

Potato MYB and bHLH transcription factors associated with anthocyanin intensity and common scab resistance

Botany ◽  
2013 ◽  
Vol 91 (10) ◽  
pp. 722-730 ◽  
Author(s):  
Helen H. Tai ◽  
Claudia Goyer ◽  
Agnes M. Murphy
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Common Scab ◽  
Scab Resistance ◽  
Bhlh Transcription Factor ◽  
Bhlh Genes ◽  
Transcription Factor Genes ◽  
Key Enzyme ◽  
Common Scab Resistance ◽  
Highly Correlated

MYB and bHLH are large transcription factor families with largely uncharacterized biological functions. The patterns of expression of 42 MYB and 58 bHLH transcription factor genes were examined in potato clones that were demonstrated to have variation in anthocyanin intensity and common scab resistance to assess their possible involvement in regulating these traits. The control of expression of biosynthetic enzymes in regulation of anthocyanin intensity was also evaluated. The dihydroflavonol 4-reductase (DFR) gene, a key enzyme in the pathway, had the highest correlation with gene expression and anthocyanin intensity (quantified as levels of anthocyanidins). Expression of five uncharacterized MYB and three bHLH genes was also highly correlated with anthocyanin intensity, suggesting that they could be regulators of biosynthetic enzyme gene expression. The same potato clones were also demonstrated to have variation in resistance to Streptomyces scabiei, the causal pathogen of common scab in potato. Correlation analysis was used to show that anthocyanin intensity was not associated with common scab resistance. However, common scab resistance was correlated with expression of another two MYB and three bHLH genes, indicating that they might be involved in the regulation of the defense response of potato against the common scab pathogen.

scholarly journals Impact of sustained TGFβ receptor inhibition on chromatin accessibility and gene expression in cultured human endometrial MSC

2020 ◽  
Author(s):  
Raffaella Lucciola ◽  
Pavle Vrljicak ◽  
Caitlin Filby ◽  
Saeedeh Darzi ◽  
Shanti Gurung ◽  
...  
Keyword(s):  
Gene Expression ◽  
Retinoic Acid ◽  
Gene Networks ◽  
Large Scale ◽  
Transforming Growth Factor ◽  
Retinoic Acid Receptor ◽  
Human Endometrium ◽  
Acid Receptor ◽  
Genome Wide ◽  
The Impact

AbstractEndometrial mesenchymal stem cells (eMSC) drive the extraordinary regenerative capacity of the human endometrium. Clinical application of eMSC for therapeutic purposes is hampered by spontaneous differentiation and cellular senescence upon large-scale expansion in vitro. A83-01, a selective transforming growth factor-β receptor (TGFβ-R) inhibitor, promotes pharmacological expansion of eMSC in culture by blocking differentiation and senescence, but the underlying mechanisms are incompletely understood. In this study, we combined RNA-seq and ATAC-seq to study the impact of sustained TGFβ-R inhibition on gene expression and chromatin architecture of eMSC. Treatment of primary eMSC with A83-01 for 5 weeks resulted in differential expression of 1,463 genes. Gene ontology analysis showed enrichment of genes implicated in cell growth whereas extracellular matrix genes and genes involved in cell fate commitment were downregulated. ATAC-seq analysis demonstrated that sustained TGFβ-R inhibition results in opening and closure of 3,555 and 2,412 chromatin loci, respectively. Motif analysis revealed marked enrichment of retinoic acid receptor (RAR) binding sites, which was paralleled by the induction of RARB, encoding retinoic acid receptor beta (RARβ). Selective RARβ inhibition attenuated proliferation and clonogenicity of A83-01 treated eMSC. Taken together, our study provides new insights into the gene networks and genome-wide chromatin changes that underpin maintenance of an undifferentiated phenotype of eMSC in prolonged culture.Significance statementCycling human endometrium is a rich source of adult stem/progenitor cells that could be exploited for clinical purposes. Small molecules, such as A83-01, that modulate cell identity may open new avenues to maintain the functional properties of eMSC upon expansion in culture. By integrating complementary genome-wide profiling techniques, we mapped the dynamic changes in chromatin landscape and gene expression in response to prolonged A83-01 treatment of eMSC. Our findings provide new insights into the mechanisms of action of TGFβ-R inhibition that may lead to the development of more targeted pharmacological approaches for MSC expansion.

scholarly journals Cross-species alcohol dependence-associated gene networks: Co-analysis of mouse brain gene expression and human genome-wide association data

2018 ◽  
Author(s):  
Kristin M. Mignogna ◽  
Silviu A. Bacanu ◽  
Brien P. Riley ◽  
Aaron R. Wolen ◽  
Michael F. Miles
Keyword(s):  
Gene Expression ◽  
Alcohol Dependence ◽  
Mouse Brain ◽  
Gene Networks ◽  
Association Studies ◽  
Complex Trait ◽  
Genome Wide Association ◽  
Model Organisms ◽  
Genome Wide Association Studies ◽  
Genome Wide

AbstractGenome-wide association studies on alcohol dependence, by themselves, have yet to account for the estimated heritability of the disorder and provide incomplete mechanistic understanding of this complex trait. Integrating brain ethanol-responsive gene expression networks from model organisms with human genetic data on alcohol dependence could aid in identifying dependence-associated genes and functional networks in which they are involved. This study used a modification of the Edge-Weighted Dense Module Searching for genome-wide association studies (EW-dmGWAS) approach to co-analyze whole-genome gene expression data from ethanol-exposed mouse brain tissue, human protein-protein interaction databases and alcohol dependence-related genome-wide association studies. Results revealed novel ethanol-regulated and alcohol dependence-associated gene networks in prefrontal cortex, nucleus accumbens, and ventral tegmental area. Three of these networks were overrepresented with genome-wide association signals from an independent dataset. These networks were significantly overrepresented for gene ontology categories involving several mechanisms, including actin filament-based activity, transcript regulation, Wnt and Syndecan-mediated signaling, and ubiquitination. Together, these studies provide novel insight for brain mechanisms contributing to alcohol dependence.

scholarly journals Genetic Neural Networks: an artificial neural network architecture for capturing gene expression relationships

2018 ◽  
Vol 35 (13) ◽  
pp. 2226-2234 ◽  
Author(s):  
Ameen Eetemadi ◽  
Ilias Tagkopoulos
Keyword(s):  
Neural Network ◽  
Gene Expression ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Network Architecture ◽  
Gene Networks ◽  
Supplementary Information ◽  
Genome Wide ◽  
Transcriptomics Data ◽  
Artificial Neural

Abstract Motivation Gene expression prediction is one of the grand challenges in computational biology. The availability of transcriptomics data combined with recent advances in artificial neural networks provide an unprecedented opportunity to create predictive models of gene expression with far reaching applications. Results We present the Genetic Neural Network (GNN), an artificial neural network for predicting genome-wide gene expression given gene knockouts and master regulator perturbations. In its core, the GNN maps existing gene regulatory information in its architecture and it uses cell nodes that have been specifically designed to capture the dependencies and non-linear dynamics that exist in gene networks. These two key features make the GNN architecture capable to capture complex relationships without the need of large training datasets. As a result, GNNs were 40% more accurate on average than competing architectures (MLP, RNN, BiRNN) when compared on hundreds of curated and inferred transcription modules. Our results argue that GNNs can become the architecture of choice when building predictors of gene expression from exponentially growing corpus of genome-wide transcriptomics data. Availability and implementation https://github.com/IBPA/GNN Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Cross-species alcohol dependence-associated gene networks: Co-analysis of mouse brain gene expression and human genome-wide association data

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0202063 ◽  
Author(s):  
Kristin M. Mignogna ◽  
Silviu A. Bacanu ◽  
Brien P. Riley ◽  
Aaron R. Wolen ◽  
Michael F. Miles
Keyword(s):  
Gene Expression ◽  
Alcohol Dependence ◽  
Human Genome ◽  
Mouse Brain ◽  
Gene Networks ◽  
Genome Wide Association ◽  
Brain Gene Expression ◽  
Genome Wide ◽  
Association Data

scholarly journals Pospiviroid Infection of Tomato Regulates the Expression of Genes Involved in Flower and Fruit Development

Viruses ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 516 ◽  
Author(s):  
Katia Aviña-Padilla ◽  
Rafael Rivera-Bustamante ◽  
Natalia Kovalskaya ◽  
Rosemarie Hammond
Keyword(s):  
Gene Expression ◽  
Fruit Development ◽  
Gene Networks ◽  
Trna Synthetase ◽  
Global Network ◽  
Bhlh Transcription Factor ◽  
Expression Of Genes ◽  
Flower Abortion ◽  
Viroid Infection ◽  
Flower And Fruit Development

Viroids are unencapsidated, single-stranded, covalently-closed circular, highly structured, noncoding RNAs of 239–401 nucleotides that cause disease in several economically important crop plants. In tomato (Solanum lycopersicum cv. Rutgers), symptoms of pospiviroid infection include stunting, reduced vigor, flower abortion, and reduced size and number of fruits, resulting in significant crop losses. Dramatic alterations in plant development triggered by viroid infection are the result of differential gene expression; in our study, we focused on the effect of tomato planta macho viroid (TPMVd) and Mexican papita viroid (MPVd) infection on gene networks associated with the regulation of flower and fruit development. The expression of several of the genes were previously reported to be affected by viroid infection, but two genes not previously studied were included. Changes in gene expression of SlBIGPETAL1 (bHLH transcription factor) and SlOVA6 (proline-like tRNA synthetase) are involved in petal morphology and fertility, respectively. Expression of SlOVA6 was down-regulated in flowers of TPMVd- and MPVd-infected plants, while expression of SlBIGPETAL1 was up-regulated in flowers. Up-regulation of SlBIGPETAL1 and down-regulation of SlOVA6 were positively correlated with symptoms such as reduced petal size and flower abortion. Expression analysis of additional tomato genes and a prediction of a global network association of genes involved in flower and fruit development and impacted by viroid infection may further elucidate the pathways underlying viroid pathogenicity.

scholarly journals Inheritance of gene expression throughout fruit development in chili pepper

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Christian Escoto-Sandoval ◽  
Neftalí Ochoa-Alejo ◽  
Octavio Martínez
Keyword(s):  
Gene Expression ◽  
Fruit Development ◽  
Gene Expression Regulation ◽  
R Package ◽  
Chili Pepper ◽  
Wild Accession ◽  
Biological Processes ◽  
Genome Wide ◽  
Cell Components

AbstractGene expression is the primary molecular phenotype and can be estimated in specific organs or tissues at particular times. Here we analyzed genome-wide inheritance of gene expression in fruits of chili pepper (Capsicum annuum L.) in reciprocal crosses between a domesticated and a wild accession, estimating this parameter during fruit development. We defined a general hierarchical schema to classify gene expression inheritance which can be employed for any quantitative trait. We found that inheritance of gene expression is affected by both, the time of fruit development as well as the direction of the cross, and propose that such variations could be common in many developmental processes. We conclude that classification of inheritance patterns is important to have a better understanding of the mechanisms underlying gene expression regulation, and demonstrate that sets of genes with specific inheritance pattern at particular times of fruit development are enriched in different biological processes, molecular functions and cell components. All curated data and functions for analysis and visualization are publicly available as an R package.

scholarly journals A method to analyze time expression profiles demonstrated in a database of chili pepper fruit development

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Christian Escoto-Sandoval ◽  
Alan Flores-Díaz ◽  
M. Humberto Reyes-Valdés ◽  
Neftalí Ochoa-Alejo ◽  
Octavio Martínez
Keyword(s):  
Gene Expression ◽  
Fruit Development ◽  
Time Course ◽  
Expression Profiles ◽  
R Package ◽  
Chili Pepper ◽  
Rna Seq ◽  
Genome Wide ◽  
Pepper Fruit ◽  
Relative Gene

AbstractRNA-Seq experiments allow genome-wide estimation of relative gene expression. Estimation of gene expression at different time points generates time expression profiles of phenomena of interest, as for example fruit development. However, such profiles can be complex to analyze and interpret. We developed a methodology that transforms original RNA-Seq data from time course experiments into standardized expression profiles, which can be easily interpreted and analyzed. To exemplify this methodology we used RNA-Seq data obtained from 12 accessions of chili pepper (Capsicum annuum L.) during fruit development. All relevant data, as well as functions to perform analyses and interpretations from this experiment, were gathered into a publicly available R package: “Salsa”. Here we explain the rational of the methodology and exemplify the use of the package to obtain valuable insights into the multidimensional time expression changes that occur during chili pepper fruit development. We hope that this tool will be of interest for researchers studying fruit development in chili pepper as well as in other angiosperms.

scholarly journals Global mRNA and microRNA expression dynamics in response to anthracnose infection in sorghum

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Fuyou Fu ◽  
Gezahegn Girma ◽  
Tesfaye Mengiste
Keyword(s):  
Gene Expression ◽  
Gene Networks ◽  
Target Genes ◽  
Differentially Expressed ◽  
Host Responses ◽  
Post Inoculation ◽  
Resistant Line ◽  
Susceptible Line ◽  
Genome Wide ◽  
Differentially Expressed Mirnas

Abstract Background Anthracnose is a damaging disease of sorghum caused by the fungal pathogen Colletotrichum sublineolum. Genome-wide mRNA and microRNA (miRNA) profiles of resistant and susceptible sorghum genotypes were studied to understand components of immune responses, and fungal induced miRNA and target gene networks. Results A total of 18 mRNA and 12 miRNA libraries from resistant and susceptible sorghum lines were sequenced prior to and after inoculation with C. sublineolum. Significant differences in transcriptomes of the susceptible and resistant genotypes were observed with dispersion distance and hierarchical cluster tree analyses. Of the total 33,032 genes predicted in the sorghum genome, 19,593 were induced by C. sublineolum, and 15,512 were differentially expressed (DEGs) between the two genotypes. The resistant line was marked by significant reprogramming of the transcriptome at 24 h post inoculation (hpi), and a decrease at 48 hpi, whereas the susceptible line displayed continued changes in gene expression concordant with elevated fungal growth in the susceptible genotype. DEGs encode proteins implicated in diverse functions including photosynthesis, synthesis of tetrapyrrole, carbohydrate and secondary metabolism, immune signaling, and chitin binding. Genes encoding immune receptors, MAPKs, pentatricopeptide repeat proteins, and WRKY transcription factors were induced in the resistant genotype. In a parallel miRNA profiling, the susceptible line displayed greater number of differentially expressed miRNAs than the resistant line indicative of a widespread suppression of gene expression. Interestingly, we found 75 miRNAs, including 36 novel miRNAs, which were differentially expressed in response to fungal inoculation. The expression of 50 miRNAs was significantly different between resistant and susceptible lines. Subsequently, for 35 differentially expressed miRNAs, the corresponding 149 target genes were identified. Expression of 56 target genes were significantly altered after inoculation, showing inverse expression with the corresponding miRNAs. Conclusions We provide insights into genome wide dynamics of mRNA and miRNA profiles, biological and cellular processes underlying host responses to fungal infection in sorghum. Resistance is correlated with early transcriptional reprogramming of genes in various pathways. Fungal induced genes, miRNAs and their targets with a potential function in host responses to anthracnose were identified, opening avenues for genetic dissection of resistance mechanisms.

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