scholarly journals The FBA Motif-Containing Protein NpFBA1 Causes Leaf Curling and Reduces Resistance to Black Shank Disease in Tobacco

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2478
Author(s):  
Zhongyi Xie ◽  
Guo Wen ◽  
Yao Yang ◽  
Haiyan Wang ◽  
Jinying Wang ◽  
...  
Keyword(s):  
Nicotiana Plumbaginifolia ◽  
Auxin Response ◽  
Response Factors ◽  
Black Shank ◽  
Auxin Response Factors ◽  
Leaf Curling ◽  
Separate Branch ◽  
Leaf Yield ◽  
Transgenic Lines ◽  
New Gene

Plant leaf morphology has a great impact on plant drought resistance, ornamental research and leaf yield. In this study, we identified a new gene in Nicotiana plumbaginifolia, NpFBA1, that causes leaf curl. The results show that the NpFBA1 protein contains only one unique F-box associated (FBA) domain and does not have an F-box conserved domain. Phylogenetic analysis placed this gene and other Nicotiana FBA genes on a separate branch, and the NpFBA1 protein localized to the nucleus and cytoplasm. The expression of NpFBA1 was induced by black shank pathogen (Phytophthora parasitica var. nicotianae) infection and treatment with salicylic acid (SA) and methyl jasmonate (MeJA). NpFBA1-overexpressing transgenic lines showed leaf curling and aging during the rosette phase. During the bolting period, the leaves were curly and rounded, and the plants were dwarfed. In addition, NpFBA1-overexpressing lines were more susceptible to disease than wild-type (WT) plants. Further studies revealed that overexpression of NpFBA1 significantly downregulated the expression of auxin response factors such as NtARF3 and the lignin synthesis genes NtPAL, NtC4H, NtCAD2, and NtCCR1 in the leaves. In conclusion, NpFBA1 may play a key role in regulating leaf development and the response to pathogen infection.

scholarly journals Parallel structural evolution of auxin response factors in the angiosperms

2010 ◽  
Vol 63 (6) ◽  
pp. 952-959 ◽  
Author(s):  
Cédric Finet ◽  
Chloé Fourquin ◽  
Marion Vinauger ◽  
Annick Berne-Dedieu ◽  
Pierre Chambrier ◽  
...  
Keyword(s):  
Structural Evolution ◽  
Auxin Response ◽  
Response Factors ◽  
Auxin Response Factors

scholarly journals Noncoding RNAs, Emerging Regulators in Root Endosymbioses

2016 ◽  
Vol 29 (3) ◽  
pp. 170-180 ◽  
Author(s):  
Christine Lelandais-Brière ◽  
Jérémy Moreau ◽  
Caroline Hartmann ◽  
Martin Crespi
Keyword(s):  
Gene Expression ◽  
Regulatory Networks ◽  
Plant Root ◽  
Arbuscular Mycorrhizal ◽  
Auxin Response ◽  
Response Factors ◽  
Auxin Response Factors ◽  
Control Gene Expression ◽  
Small Ncrnas ◽  
Am Symbiosis

Endosymbiosis interactions allow plants to grow in nutrient-deficient soil environments. The arbuscular mycorrhizal (AM) symbiosis is an ancestral interaction between land plants and fungi, whereas nitrogen-fixing symbioses are highly specific for certain plants, notably major crop legumes. The signaling pathways triggered by specific lipochitooligosaccharide molecules involved in these interactions have common components that also overlap with plant root development. These pathways include receptor-like kinases, transcription factors (TFs), and various intermediate signaling effectors, including noncoding (nc)RNAs. These latter molecules have emerged as major regulators of gene expression and small ncRNAs, composed of micro (mi)RNAs and small interfering (si)RNAs, are known to control gene expression at transcriptional (chromatin) or posttranscriptional levels. In this review, we describe exciting recent data connecting variants of conserved si/miRNAs with the regulation of TFs, such as NSP2, NFY-A1, auxin-response factors, and AP2-like proteins, known to be involved in symbiosis. The link between hormonal regulations and these si- and miRNA-TF nodes is proposed in a model in which different feedback loops or regulations controlling endosymbiosis signaling are integrated. The diversity and emerging regulatory networks of young legume miRNAs are also highlighted.

Auxin Response Factors

2001 ◽  
Vol 20 (3) ◽  
pp. 281-291 ◽  
Author(s):  
Tom J. Guilfoyle ◽  
Gretchen Hagen
Keyword(s):  
Auxin Response ◽  
Response Factors ◽  
Auxin Response Factors

Research Progresses on Auxin Response Factors

2006 ◽  
Vol 48 (6) ◽  
pp. 622-627 ◽  
Author(s):  
Hai-Bin Wei ◽  
Bai-Ming Cui ◽  
Yan-Li Ren ◽  
Juan-Hua Li ◽  
Wei-Bin Liao ◽  
...  
Keyword(s):  
Auxin Response ◽  
Response Factors ◽  
Auxin Response Factors

scholarly journals Genome-Wide cis-Regulatory Element Based Discovery of Auxin-Responsive Genes in Higher Plant

Genes ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 24
Author(s):  
Jianfei Wu ◽  
Fan Gao ◽  
Tongtong Li ◽  
Haixia Guo ◽  
Li Zhang ◽  
...  
Keyword(s):  
Target Genes ◽  
Regulatory Element ◽  
Regulatory Elements ◽  
Auxin Response ◽  
Higher Plant ◽  
Response Factors ◽  
Auxin Response Factors ◽  
Genome Wide ◽  
A Genome ◽  
Almost All

Auxin has a profound impact on plant physiology and participates in almost all aspects of plant development processes. Auxin exerts profound pleiotropic effects on plant growth and differentiation by regulating the auxin response genes’ expressions. The classical auxin reaction is usually mediated by auxin response factors (ARFs), which bind to the auxin response element (AuxRE) in the promoter region of the target gene. Experiments have generated only a limited number of plant genes with well-characterized functions. It is still unknown how many genes respond to exogenous auxin treatment. An economical and effective method was proposed for the genome-wide discovery of genes responsive to auxin in a model plant, Arabidopsis thaliana (A. thaliana). Our method relies on cis-regulatory-element-based targeted gene finding across different promoters in a genome. We first exploit and analyze auxin-specific cis-regulatory elements for the transcription of the target genes, and then identify putative auxin responsive genes whose promoters contain the elements in the collection of over 25,800 promoters in the A. thaliana genome. Evaluating our result by comparing with a published database and the literature, we found that this method has an accuracy rate of 65.2% (309/474) for predicting candidate genes responsive to auxin. Chromosome distribution and annotation of the putative auxin-responsive genes predicted here were also mined. The results can markedly decrease the number of identified but merely potential auxin target genes and also provide useful clues for improving the annotation of gene that lack functional information.

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