scholarly journals Comprehensive analysis of protein interactions between JAZ proteins and bHLH transcription factors that negatively regulate jasmonate signaling

2014 ◽  
Vol 9 (1) ◽  
pp. e27639 ◽  
Author(s):  
Yuko Sasaki-Sekimoto ◽  
Hikaru Saito ◽  
Shinji Masuda ◽  
Ken Shirasu ◽  
Hiroyuki Ohta
Keyword(s):  
Transcription Factors ◽  
Protein Interactions ◽  
Comprehensive Analysis ◽  
Jasmonate Signaling ◽  
Jaz Proteins ◽  
Bhlh Transcription Factors

scholarly journals Constitutive Steroidal Glycoalkaloid Biosynthesis in Tomato is Regulated by the Clade IIIe Basic Helix-Loop-Helix Transcription Factors MYC1 and MYC2

2020 ◽  
Author(s):  
Gwen Swinnen ◽  
Margaux De Meyer ◽  
Jacob Pollier ◽  
Francisco Javier Molina-Hidalgo ◽  
Evi Ceulemans ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Regulatory Element ◽  
Cholesterol Biosynthesis ◽  
Constitutive Expression ◽  
Defense Compounds ◽  
Specialized Metabolites ◽  
Jasmonate Signaling ◽  
Basic Helix Loop Helix ◽  
Helix Loop Helix ◽  
Bhlh Transcription Factors

ABSTRACTSpecialized metabolites are produced by plants to fend off biotic enemies. Across the plant kingdom, the biosynthesis of these defense compounds is promoted by jasmonate signaling in which clade IIIe basic helix-loop-helix (bHLH) transcription factors take on a central role. Tomato (Solanum lycopersicum) produces cholesterol-derived steroidal glycoalkaloids (SGAs) that act as phytoanticipins against a broad variety of herbivores and pathogens. The biosynthesis of SGAs from cholesterol occurs constitutively in tomato plants and can be further stimulated by jasmonates. Here, we demonstrate that the two tomato clade IIIe bHLH transcription factors, MYC1 and MYC2, redundantly and specifically control the constitutive biosynthesis of SGAs. Double myc1 myc2 loss-of-function tomato hairy roots displayed suppressed constitutive expression of cholesterol and SGA biosynthesis genes, and consequently severely reduced levels of the main tomato SGAs α-tomatine and dehydrotomatine. In contrast, basal expression of genes involved in canonical jasmonate signaling or in the biosynthesis of highly jasmonate-inducible phenylpropanoid-polyamine conjugates was not affected. Furthermore, CRISPR-Cas9(VQR)-mediated genome editing of a specific cis-regulatory element, targeted by MYC1/2, in the promoter of a cholesterol biosynthesis gene led to decreased constitutive expression of this gene, but did not affect its jasmonate inducibility. Our results demonstrate that clade IIIe bHLH transcriptional regulators might have evolved to regulate the biosynthesis of specific constitutively accumulating specialized metabolites independent of jasmonate signaling.One sentence summaryThe clade IIIe basic helix-loop-helix transcription factors MYC1 and MYC2 control the constitutive biosynthesis of tomato steroidal glycoalkaloids and might do so independently of jasmonate signaling.

scholarly journals Interactions of JAZ Repressors with Anthocyanin Biosynthesis-Related Transcription Factors of Fragaria × ananassa

Agronomy ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1586
Author(s):  
Adrián Garrido-Bigotes ◽  
Marcela Torrejón ◽  
Roberto Solano ◽  
Carlos R. Figueroa
Keyword(s):  
Transcription Factors ◽  
Protein Interactions ◽  
Anthocyanin Biosynthesis ◽  
Phylogenetic Analyses ◽  
Molecular Targets ◽  
Fragaria Ananassa ◽  
Jasmonate Signaling ◽  
High Conservation ◽  
Transcriptional Complex ◽  
Signaling Components

Strawberry fruits are rich in flavonoids like proanthocyanidins and anthocyanins. Their biosynthesis and accumulation are controlled by the MYB-bHLH-WD40 (MBW) transcriptional complex, which is mainly formed by basic helix-loop-helix (bHLH) and MYB transcription factors (TFs). In Arabidopsis thaliana both bHLH and MYB TFs are repressed by JASMONATE ZIM-DOMAIN (JAZ) proteins, the key repressors of the jasmonate-signaling pathway. The aim of this research was the characterization of the FaJAZ1/8.1/9/10 proteins and molecular targets of signaling components and anthocyanin biosynthesis-related TFs of Fragaria × ananassa by protein–protein interactions. For this, domain compositions were studied by multiple alignments and phylogenetic analyses, while interactions were analyzed by yeast two-hybrid (Y2H) assays. We detected high conservation of FaJAZ proteins and jasmonate-signaling components, as well as FabHLHs and FaMYB10 TFs. Moreover, we report the F. × ananassa YABBY1 (FaYAB1) TF, which is related to anthocyanin biosynthesis in Arabidopsis, showed high conservation of functional domains. We demonstrated that FaJAZ repressors interacted with F. × ananassa NOVEL INTERACTOR OF JAZ (FaNINJA), FaMYC2, and JASMONATE ASSOCIATED MYC2-LIKE (FaJAM) proteins. Besides, transcription factors of MBW-complex like FabHLH3, FabHLH33, and FaMYB10, together with FaYAB1, were molecular targets of FaJAZ repressors, exhibiting specificity or redundancy of interaction depending on particular FaJAZ protein. Overall, these results suggest that interactions of jasmonate-signaling components are fully conserved, and anthocyanin biosynthesis might be regulated by JAZ repressors in F. × ananassa.

scholarly journals TBP and SNAP50 transcription factors bind specifically to the Pr77 promoter sequence from trypanosomatid non-LTR retrotransposons

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Francisco Macías ◽  
Raquel Afonso-Lehmann ◽  
Patricia E. Carreira ◽  
M. Carmen Thomas
Keyword(s):  
Transcription Factors ◽  
Protein Interactions ◽  
Dna Sequences ◽  
Direct Interaction ◽  
Promoter Sequence ◽  
Nuclear Proteins ◽  
Hill Coefficient ◽  
Small Nuclear Rna ◽  
Mobile Dna ◽  
Mobility Shift

Abstract Background Trypanosomatid genomes are colonized by active and inactive mobile DNA elements, such as LINE, SINE-like, SIDER and DIRE retrotransposons. These elements all share a 77-nucleotide-long sequence at their 5′ ends, known as Pr77, which activates transcription, thereby generating abundant unspliced and translatable transcripts. However, transcription factors that mediates this process have still not been reported. Methods TATA-binding protein (TBP) and small nuclear RNA-activating protein 50 kDa (SNAP50) recombinant proteins and specific antibodies raised against them were generated. Protein capture assay, electrophoretic mobility-shift assays (EMSA) and EMSA competition assays carried out using these proteins and nuclear proteins of the parasite together to specific DNA sequences used as probes allowed detecting direct interaction of these transcription factors to Pr77 sequence. Results This study identified TBP and SNAP50 as part of the DNA-protein complex formed by the Pr77 promoter sequence and nuclear proteins of Trypanosoma cruzi. TBP establishes direct and specific contact with the Pr77 sequence, where the DPE and DPE downstream regions are docking sites with preferential binding. TBP binds cooperatively (Hill coefficient = 1.67) to Pr77 and to both strands of the Pr77 sequence, while the conformation of this highly structured sequence is not involved in TBP binding. Direct binding of SNAP50 to the Pr77 sequence is weak and may be mediated by protein–protein interactions through other trypanosomatid nuclear proteins. Conclusions Identification of the transcription factors that mediate Pr77 transcription may help to elucidate how these retrotransposons are mobilized within the trypanosomatid genomes and their roles in gene regulation processes in this human parasite. Graphic abstract

Review and comparative assessment of similarity-based methods for prediction of drug–protein interactions in the druggable human proteome

2018 ◽  
Vol 20 (6) ◽  
pp. 2066-2087 ◽  
Author(s):  
Chen Wang ◽  
Lukasz Kurgan
Keyword(s):  
Protein Interactions ◽  
Drug Targets ◽  
Characteristic Curve ◽  
Protein Structures ◽  
Predictive Performance ◽  
Computational Prediction ◽  
Comprehensive Analysis ◽  
Model Combining ◽  
Benchmark Database ◽  
Key Aspects

AbstractDrug–protein interactions (DPIs) underlie the desired therapeutic actions and the adverse side effects of a significant majority of drugs. Computational prediction of DPIs facilitates research in drug discovery, characterization and repurposing. Similarity-based methods that do not require knowledge of protein structures are particularly suitable for druggable genome-wide predictions of DPIs. We review 35 high-impact similarity-based predictors that were published in the past decade. We group them based on three types of similarities and their combinations that they use. We discuss and compare key aspects of these methods including source databases, internal databases and their predictive models. Using our novel benchmark database, we perform comparative empirical analysis of predictive performance of seven types of representative predictors that utilize each type of similarity individually and all possible combinations of similarities. We assess predictive quality at the database-wide DPI level and we are the first to also include evaluation over individual drugs. Our comprehensive analysis shows that predictors that use more similarity types outperform methods that employ fewer similarities, and that the model combining all three types of similarities secures area under the receiver operating characteristic curve of 0.93. We offer a comprehensive analysis of sensitivity of predictive performance to intrinsic and extrinsic characteristics of the considered predictors. We find that predictive performance is sensitive to low levels of similarities between sequences of the drug targets and several extrinsic properties of the input drug structures, drug profiles and drug targets. The benchmark database and a webserver for the seven predictors are freely available at http://biomine.cs.vcu.edu/servers/CONNECTOR/.

scholarly journals 1P123 DMA binding analyses of bHLH transcription factors by FRET measurements(Nucleic acid-binding proteins,Poster Presentations)

2007 ◽  
Vol 47 (supplement) ◽  
pp. S54
Author(s):  
Koji HASEGAWA ◽  
Tatsushi GOTO ◽  
Daisuke KITANO ◽  
Mari KOTOURA ◽  
Fumio TOKUNAGA ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Nucleic Acid ◽  
Binding Proteins ◽  
Nucleic Acid Binding ◽  
Nucleic Acid Binding Proteins ◽  
Poster Presentations ◽  
Bhlh Transcription Factors

Single zinc-finger extension: enhancing transcriptional activity and specificity of three-zinc-finger proteins

2005 ◽  
Vol 386 (2) ◽  
pp. 95-99 ◽  
Author(s):  
Alexander E.F. Smith ◽  
Farzin Farzaneh ◽  
Kevin G. Ford
Keyword(s):  
Transcription Factors ◽  
Fusion Protein ◽  
Zinc Finger ◽  
Protein Interactions ◽  
Transcriptional Activation ◽  
Zinc Finger Protein ◽  
Zinc Finger Proteins ◽  
Finger Protein ◽  
Finger Extension ◽  
Vp16 Fusion

AbstractIn order to demonstrate that an existing zinc-finger protein can be simply modified to enhance DNA binding and sequence discrimination in both episomal and chromatin contexts using existing zinc-finger DNA recognition code data, and without recourse to phage display and selection strategies, we have examined the consequences of a single zinc-finger extension to a synthetic three-zinc-finger VP16 fusion protein, on transcriptional activation from model target promoters harbouring the zinc-finger binding sequences. We report a nearly 10-fold enhanced transcriptional activation by the four-zinc-finger VP16 fusion protein relative to the progenitor three-finger VP16 protein in transient assays and a greater than five-fold enhancement in stable reporter-gene expression assays. A marked decrease in transcriptional activation was evident for the four-zinc-finger derivative from mutated regulatory regions compared to the progenitor protein, as a result of recognition site-size extension. This discriminatory effect was shown to be protein concentration-dependent. These observations suggest that four-zinc-finger proteins are stable functional motifs that can be a significant improvement over the progenitor three-zinc-finger protein, both in terms of specificity and the ability to target transcriptional function to promoters, and that single zinc-finger extension can therefore have a significant impact on DNA zinc-finger protein interactions. This is a simple route for modifying or enhancing the binding properties of existing synthetic zinc-finger-based transcription factors and may be particularly suited for the modification of endogenous zinc-finger transcription factors for promoter biasing applications.

scholarly journals The bHLH Transcription Factors MYC2, MYC3, and MYC4 Are Required for Jasmonate-Mediated Inhibition of Flowering in Arabidopsis

2017 ◽  
Vol 10 (11) ◽  
pp. 1461-1464 ◽  
Author(s):  
Houping Wang ◽  
Yang Li ◽  
Jinjing Pan ◽  
Dengji Lou ◽  
Yanru Hu ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Bhlh Transcription Factors

scholarly journals Multiple neural bHLHs ensure the precision of a neuronal specification event in C. elegans

Biology Open ◽  
2021 ◽  
Author(s):  
Konstantina Filippopoulou ◽  
Carole Couillault ◽  
Vincent Bertrand
Keyword(s):  
Transcription Factors ◽  
Quantitative Imaging ◽  
Terminal Differentiation ◽  
Cholinergic Neurons ◽  
Antagonistic Effect ◽  
Specific Class ◽  
C Elegans ◽  
Neuronal Specification ◽  
Bhlh Transcription Factors ◽  
Deleterious Genes

Neural bHLH transcription factors play a key role in the early steps of neuronal specification in many animals. We have previously observed that the Achaete-Scute HLH-3, the Olig HLH-16 and their binding partner the E protein HLH-2 activate the terminal differentiation program of a specific class of cholinergic neurons, AIY, in C. elegans. Here we identify a role for a fourth bHLH, the Neurogenin NGN-1, in this process, raising the question of why so many neural bHLHs are required for a single neuronal specification event. Using quantitative imaging we show that the combined action of different bHLHs is needed to activate the correct level of expression of the terminal selector transcription factors TTX-3 and CEH-10 that subsequently initiate and maintain the expression of a large battery of terminal differentiation genes. Surprisingly, the different bHLHs have an antagonistic effect on another target, the proapoptotic BH3-only factor EGL-1, normally not expressed in AIY and otherwise detrimental for its specification. We propose that the use of multiple neural bHLHs allows robust neuronal specification while, at the same time, preventing spurious activation of deleterious genes.

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