scholarly journals Roles of the 14-3-3 Gene Family in Cotton Flowering

2021 ◽  
Author(s):  
Na Sang ◽  
Hui Liu ◽  
Bin Ma ◽  
zhong Huang ◽  
Lu Zhuo ◽  
...  
Keyword(s):  
Gene Family ◽  
Protein Interactions ◽  
Leucine Zipper ◽  
Expression Patterns ◽  
Bimolecular Fluorescence Complementation ◽  
Structural Motif ◽  
Protein Protein Interactions ◽  
Basic Leucine Zipper ◽  
Physiological Processes ◽  
Genome Wide

Abstract Background: In plants, 14-3-3 proteins, also called GENERAL REGULATORY FACTORs (GRFs), encoded by a large multigene family, are involved in protein–protein interactions and play crucial roles in various physiological processes. No genome-wide analysis of the GRF gene family has been performed in cotton, and their functions in flowering are largely unknown.Results: In this study, 17, 17, 31, and 17 GRF genes were identified in Gossypium herbaceum, G. arboreum, G. hirsutum, and G. raimondii, respectively, by genome-wide analyses and were designated as GheGRFs, GaGRFs, GhGRFs, and GrGRFs, respectively. A phylogenetic analysis revealed that these proteins were divided into ε and non-ε groups. Gene structural, motif composition, synteny, and duplicated gene analyses of the identified GRF genes provided insights into the evolution of this family in cotton. GhGRF genes exhibited diverse expression patterns in different tissues. Yeast two-hybrid and bimolecular fluorescence complementation assays showed that the GhGRFs interacted with the cotton FLOWERING LOCUS T homologue GhFT in the cytoplasm and nucleus, while they interacted with the basic leucine zipper transcription factor GhFD only in the nucleus. Transgenic studies in Arabidopsis demonstrated that GhGRF3/6/9/15 repressed flowering and that GhGRF14 promoted flowering.Conclusions: Here, 82 GRF genes were identified in cotton, and their gene and protein features, classification, evolutionary, and expression patterns were comprehensively and systematically investigated. The GhGRFs interacted with GhFT and GhFD to form florigen activation complexes, which either promoted or inhibited flowering. The results provide a foundation for further studies on the regulatory mechanisms of flowering.

scholarly journals Roles of the 14-3-3 gene family in cotton flowering

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Na Sang ◽  
Hui Liu ◽  
Bin Ma ◽  
Xianzhong Huang ◽  
Lu Zhuo ◽  
...  
Keyword(s):  
Gene Family ◽  
Protein Interactions ◽  
Leucine Zipper ◽  
Expression Patterns ◽  
Bimolecular Fluorescence Complementation ◽  
Structural Motif ◽  
Virus Induced Gene Silencing ◽  
Protein Protein Interactions ◽  
Basic Leucine Zipper ◽  
Genome Wide

Abstract Background In plants, 14-3-3 proteins, also called GENERAL REGULATORY FACTORs (GRFs), encoded by a large multigene family, are involved in protein–protein interactions and play crucial roles in various physiological processes. No genome-wide analysis of the GRF gene family has been performed in cotton, and their functions in flowering are largely unknown. Results In this study, 17, 17, 31, and 17 GRF genes were identified in Gossypium herbaceum, G. arboreum, G. hirsutum, and G. raimondii, respectively, by genome-wide analyses and were designated as GheGRFs, GaGRFs, GhGRFs, and GrGRFs, respectively. A phylogenetic analysis revealed that these proteins were divided into ε and non-ε groups. Gene structural, motif composition, synteny, and duplicated gene analyses of the identified GRF genes provided insights into the evolution of this family in cotton. GhGRF genes exhibited diverse expression patterns in different tissues. Yeast two-hybrid and bimolecular fluorescence complementation assays showed that the GhGRFs interacted with the cotton FLOWERING LOCUS T homologue GhFT in the cytoplasm and nucleus, while they interacted with the basic leucine zipper transcription factor GhFD only in the nucleus. Virus-induced gene silencing in G. hirsutum and transgenic studies in Arabidopsis demonstrated that GhGRF3/6/9/15 repressed flowering and that GhGRF14 promoted flowering. Conclusions Here, 82 GRF genes were identified in cotton, and their gene and protein features, classification, evolution, and expression patterns were comprehensively and systematically investigated. The GhGRF3/6/9/15 interacted with GhFT and GhFD to form florigen activation complexs that inhibited flowering. However, GhGRF14 interacted with GhFT and GhFD to form florigen activation complex that promoted flowering. The results provide a foundation for further studies on the regulatory mechanisms of flowering.

scholarly journals The bZIP gene family in watermelon: genome-wide identification and expression analysis under cold stress and root-knot nematode infection

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7878 ◽  
Author(s):  
Youxin Yang ◽  
Jingwen Li ◽  
Hao Li ◽  
Yingui Yang ◽  
Yelan Guang ◽  
...  
Keyword(s):  
Cold Stress ◽  
Leucine Zipper ◽  
Expression Patterns ◽  
Red Light ◽  
Nematode Infection ◽  
Root Knot Nematode ◽  
Basic Leucine Zipper ◽  
Genome Wide ◽  
Gene Structures ◽  
Bzip Family

The basic leucine zipper (bZIP) family transcription factors play crucial roles in regulating plant development and stress response. In this study, we identified 62 ClabZIP genes from watermelon genome, which were unevenly distributed across the 11 chromosomes. These ClabZIP proteins could be classified into 13 groups based on the phylogenetic relationships, and members in the same group showed similar compositions of conserved motifs and gene structures. Transcriptome analysis revealed that a number of ClabZIP genes have important roles in the melatonin (MT) induction of cold tolerance. In addition, some ClabZIP genes were induced or repressed under red light (RL) or root-knot nematode infection according to the transcriptome data, and the expression patterns of several ClabZIP genes were further verified by quantitative real-time PCR, revealing their possible roles in RL induction of watermelon defense against nematode infection. Our results provide new insights into the functions of different ClabZIP genes in watermelon and their roles in response to cold stress and nematode infection.

A PAR domain transcription factor is involved in the expression from a hematopoietic-specific promoter for the human LMO2 gene

Blood ◽  
2003 ◽  
Vol 101 (12) ◽  
pp. 4757-4764 ◽  
Author(s):  
Scott C. Crable ◽  
Kathleen P. Anderson
Keyword(s):  
Transcription Factor ◽  
Protein Interactions ◽  
Leucine Zipper ◽  
Cell Lineage ◽  
Erythroid Cell ◽  
Protein Protein Interactions ◽  
Consensus Binding Site ◽  
Basic Leucine Zipper ◽  
Specific Expression ◽  
Dna Binding Factors

AbstractThe transcription factor LMO2 is believed to exert its effect through the formation of protein-protein interactions with other DNA-binding factors such as GATA-1 and TAL1. Although LMO2 has been shown to be critical for the formation of the erythroid cell lineage, the gene is also expressed in a number of nonerythroid tissues. In this report, we demonstrate that the more distal of the 2 promoters for the LMO2 gene is highly restricted in its pattern of expression, directing the hematopoietic-specific expression of this gene. Deletion and mutation analyses have identified a critical cis element in the first untranslated exon of the gene. This element is a consensus-binding site for a small family of basic leucine zipper proteins containing a proline and acidic amino acid–rich (PAR) domain. Although all 3 members of this family are produced in erythroid cells, only 2 of these proteins, thyrotroph embryonic factor and hepatic leukemia factor, can activate transcription from this LMO2 promoter element. These findings represent a novel mechanism in erythroid gene regulation because PAR proteins have not previously been implicated in this process.

scholarly journals Genome-wide characterization and expression analysis of the HD-Zip gene family in response to drought and salinity stresses in sesame

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Mengyuan Wei ◽  
Aili Liu ◽  
Yujuan Zhang ◽  
Yong Zhou ◽  
Donghua Li ◽  
...  
Keyword(s):  
Gene Family ◽  
Stress Responses ◽  
Leucine Zipper ◽  
Expression Patterns ◽  
Functional Characterization ◽  
Genome Wide ◽  
Gene Structures ◽  
Relationship Of ◽  
Zip Genes

Abstract Background The homeodomain-leucine zipper (HD-Zip) gene family is one of the plant-specific transcription factor families, involved in plant development, growth, and in the response to diverse stresses. However, comprehensive analysis of the HD-Zip genes, especially those involved in response to drought and salinity stresses is lacking in sesame (Sesamum indicum L.), an important oil crop in tropical and subtropical areas. Results In this study, 45 HD-Zip genes were identified in sesame, and denominated as SiHDZ01-SiHDZ45. Members of SiHDZ family were classified into four groups (HD-Zip I-IV) based on the phylogenetic relationship of Arabidopsis HD-Zip proteins, which was further supported by the analysis of their conserved motifs and gene structures. Expression analyses of SiHDZ genes based on transcriptome data showed that the expression patterns of these genes were varied in different tissues. Additionally, we showed that at least 75% of the SiHDZ genes were differentially expressed in responses to drought and salinity treatments, and highlighted the important role of HD-Zip I and II genes in stress responses in sesame. Conclusions This study provides important information for functional characterization of stress-responsive HD-Zip genes and may contribute to the better understanding of the molecular basis of stress tolerance in sesame.

Mapping of Protein-Protein Interactions: Web-Based Resources for Revealing Interactomes

2019 ◽  
Vol 26 (21) ◽  
pp. 3890-3910 ◽  
Author(s):  
Branislava Gemovic ◽  
Neven Sumonja ◽  
Radoslav Davidovic ◽  
Vladimir Perovic ◽  
Nevena Veljkovic
Keyword(s):  
Drug Discovery ◽  
Protein Interactions ◽  
Protein Complexes ◽  
Experimental Studies ◽  
Protein Protein Interactions ◽  
Web Based ◽  
Prediction Tools ◽  
Physiological Processes ◽  
Modern Drug ◽  
Ppi Prediction

Background: The significant number of protein-protein interactions (PPIs) discovered by harnessing concomitant advances in the fields of sequencing, crystallography, spectrometry and two-hybrid screening suggests astonishing prospects for remodelling drug discovery. The PPI space which includes up to 650 000 entities is a remarkable reservoir of potential therapeutic targets for every human disease. In order to allow modern drug discovery programs to leverage this, we should be able to discern complete PPI maps associated with a specific disorder and corresponding normal physiology. Objective: Here, we will review community available computational programs for predicting PPIs and web-based resources for storing experimentally annotated interactions. Methods: We compared the capacities of prediction tools: iLoops, Struck2Net, HOMCOS, COTH, PrePPI, InterPreTS and PRISM to predict recently discovered protein interactions. Results: We described sequence-based and structure-based PPI prediction tools and addressed their peculiarities. Additionally, since the usefulness of prediction algorithms critically depends on the quality and quantity of the experimental data they are built on; we extensively discussed community resources for protein interactions. We focused on the active and recently updated primary and secondary PPI databases, repositories specialized to the subject or species, as well as databases that include both experimental and predicted PPIs. Conclusion: PPI complexes are the basis of important physiological processes and therefore, possible targets for cell-penetrating ligands. Reliable computational PPI predictions can speed up new target discoveries through prioritization of therapeutically relevant protein–protein complexes for experimental studies.

Genome-wide identification and analysis of the MADS-box gene family and its potential role in fruit ripening in black raspberry (Rubus occidentalis L.)

2021 ◽  
pp. 1-15
Author(s):  
Yaqiong Wu ◽  
Chunhong Zhang ◽  
Wenlong Wu ◽  
Weilin Li ◽  
Lianfei Lyu
Keyword(s):  
Gene Family ◽  
Fruit Ripening ◽  
Fruit Development ◽  
Expression Patterns ◽  
Type I ◽  
Black Raspberry ◽  
Mads Box ◽  
Mads Box Genes ◽  
Genome Wide ◽  
Mads Box Gene

BACKGROUND: Black raspberry is a vital fruit crop with a high antioxidant function. MADS-box genes play an important role in the regulation of fruit development in angiosperms. OBJECTIVE: To understand the regulatory role of the MADS-box family, a total of 80 MADS-box genes were identified and analyzed. METHODS: The MADS-box genes in the black raspberry genome were analyzed using bioinformatics methods. Through an analysis of the promoter elements, the possible functions of different members of the family were predicted. The spatiotemporal expression patterns of members of the MADS-box family during black raspberry fruit development and ripening were systematically analyzed. RESULTS: The genes were classified into type I (Mα: 33; Mβ: 6; Mγ: 10) and type II (MIKC *: 2; MIKCC: 29) genes. We also obtained a complete overview of the RoMADS-box gene family through phylogenetic, gene structure, conserved motif, and cis element analyses. The relative expression analysis showed different expression patterns, and most RoMADS-box genes were more highly expressed in fruit than in other tissues of black raspberry. CONCLUSIONS: This finding indicates that the MADS-box gene family is involved in the regulation of fruit ripening processes in black raspberry.

scholarly journals Shared Blood Transcriptomic Signatures between Alzheimer’s Disease and Diabetes Mellitus

Biomedicines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Taesic Lee ◽  
Hyunju Lee
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Protein Interactions ◽  
Expression Patterns ◽  
Protein Protein Interactions ◽  
Hub Genes ◽  
Gene Modules ◽  
Gene Regulatory ◽  
The Brain

Alzheimer’s disease (AD) and diabetes mellitus (DM) are known to have a shared molecular mechanism. We aimed to identify shared blood transcriptomic signatures between AD and DM. Blood expression datasets for each disease were combined and a co-expression network was used to construct modules consisting of genes with similar expression patterns. For each module, a gene regulatory network based on gene expression and protein-protein interactions was established to identify hub genes. We selected one module, where COPS4, PSMA6, GTF2B, GTF2F2, and SSB were identified as dysregulated transcription factors that were common between AD and DM. These five genes were also differentially co-expressed in disease-related tissues, such as the brain in AD and the pancreas in DM. Our study identified gene modules that were dysregulated in both AD and DM blood samples, which may contribute to reveal common pathophysiology between two diseases.

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