Next Article in Journal
miRNA-Profiling in Ejaculated and Epididymal Pig Spermatozoa and Their Relation to Fertility after Artificial Insemination
Next Article in Special Issue
Review Update on the Life Cycle, Plant–Microbe Interaction, Genomics, Detection and Control Strategies of the Oil Palm Pathogen Ganoderma boninense
Previous Article in Journal
Role of Descending Serotonergic Fibers in the Development of Pathophysiology after Spinal Cord Injury (SCI): Contribution to Chronic Pain, Spasticity, and Autonomic Dysreflexia
Previous Article in Special Issue
Meloidogyne graminicola—A Threat to Rice Production: Review Update on Distribution, Biology, Identification, and Management
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Defense Strategies: The Role of Transcription Factors in Tomato–Pathogen Interaction

by
Maria Doroteia Campos
1,*,
Maria do Rosário Félix
2,
Mariana Patanita
1,
Patrick Materatski
1,
André Albuquerque
1,
Joana A. Ribeiro
1 and
Carla Varanda
1
1
MED—Mediterranean Institute for Agriculture, Environment and Development, Instituto de Investigação e Formação Avançada, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
2
MED—Mediterranean Institute for Agriculture, Environment and Development & Departamento de Fitotecnia, Escola de Ciências e Tecnologia, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
*
Author to whom correspondence should be addressed.
Submission received: 10 December 2021 / Revised: 25 January 2022 / Accepted: 28 January 2022 / Published: 1 February 2022
(This article belongs to the Special Issue Plant-Pathogen Interaction 2.0)

Abstract

:

Simple Summary

Tomato is one of the most cultivated and economically important vegetable crops throughout the world. It is affected by a panoply of different pathogens that cause infectious diseases that reduce tomato yield and affect product quality, with the most common symptoms being wilts, leaf spots/blights, fruit spots, and rots. To survive, tomato, as other plants, have developed elaborate defense mechanisms against plant pathogens. Among several genes already identified in tomato response to pathogens, we highlight those encoding the transcription factors (TFs). TFs are regulators of gene expression and are involved in large-scale biological phenomena. Here, we present an overview of recent studies of tomato TFs regarding defense responses to pathogen attack, selected for their abundance, importance, and availability of functionally well-characterized members. Tomato TFs’ roles and the possibilities related to their use for genetic engineering in view of crop breeding are presented.

Abstract

Tomato, one of the most cultivated and economically important vegetable crops throughout the world, is affected by a panoply of different pathogens that reduce yield and affect product quality. The study of tomato–pathogen system arises as an ideal system for better understanding the molecular mechanisms underlying disease resistance, offering an opportunity of improving yield and quality of the products. Among several genes already identified in tomato response to pathogens, we highlight those encoding the transcription factors (TFs). TFs act as transcriptional activators or repressors of gene expression and are involved in large-scale biological phenomena. They are key regulators of central components of plant innate immune system and basal defense in diverse biological processes, including defense responses to pathogens. Here, we present an overview of recent studies of tomato TFs regarding defense responses to biotic stresses. Hence, we focus on different families of TFs, selected for their abundance, importance, and availability of functionally well-characterized members in response to pathogen attack. Tomato TFs’ roles and possibilities related to their use for engineering pathogen resistance in tomato are presented. With this review, we intend to provide new insights into the regulation of tomato defense mechanisms against invading pathogens in view of plant breeding.

1. Introduction

Plant pathogens cause severe losses in agriculture systems in terms of economics and production and are increasing worldwide. Although many plant pathogens are well known, new virulent strains, pathotypes, or races, together with new emerging pathogens, have had a negative impact in the production potential of agriculture [1]. Additionally, climate change has an impact on disease incidence and severity and on the geographic distribution of plant pathogens, with consequences for agricultural production, turning challenging the plant disease management [2].
Plant pathogens mostly comprise viruses, bacteria, fungi, and nematodes that cause symptoms on leaves, stems, roots, vascular systems, and fruits [3,4,5]. Due to their sedentary nature, plants sense the stress signals and, for their adaptation and survival, it is essential that they give appropriate responses [6]. To survive, plants have developed highly sophisticated defense mechanisms against pathogens [7]. During the pathogen attack, conserved molecular patterns are recognized by the plants (pathogen-associated molecular patterns, PAMPs) at the pathogen cell surface and trigger basal immune responses (PAMP-triggered immunity, PTI). These two-way efficient communication strategies form the plant innate immune system [8,9], playing relevant functions through signaling transduction pathways in order to modulate regulatory proteins (e.g., transcription factors (TFs) and protein kinases) and pathogenesis-related proteins (PR) [6,10]. When the interaction between a plant and a plant pathogen occurs and causes infection, it is designated as compatible interaction. Some pathogens secrete effectors to increase their pathogenicity into the host cells to suppress PTI; this prompt plants with the corresponding resistance (R) proteins to directly or indirectly recognize the effectors and initiate immune responses named effector-triggered immunity (ETI), such as the hypersensitive response (HR) [11,12]. Signal transduction and the fine-tuning of gene expression are requisites to regulate these defense mechanisms in PTI and ETI [6,13,14]. Figure 1 schematizes the regulatory pathways induced in plants upon pathogen infection.
The modulation of gene transcription is an essential step for an efficient defense response in host cells. Transcriptional re-programming of the plant cell involves considerable changes in gene expression to support the plant defense rather than other cellular processes such as development and growth [6]. It was suggested that plants may recognize each attacking pathogen specifically and have a distinct transcriptional response to different pathogens [15].
Transcription factors (TFs) are central components of plant defense signaling and adaptation mechanisms. They are DNA-binding proteins that play roles in the modulation of gene expression by binding to transcriptional regulatory regions called cis-elements in the gene promoters [16,17], specifically activating or repressing expression of target genes and directing the expression in a synchronized manner [10]. A collection of similar DNA sequences is recognized by each TF, which can be represented as binding site motifs. Motifs’ characterization is a crucial step for a better understanding of the regulatory functions of TFs that consequently shape gene regulatory networks [16]. Major TF families are crucial regulators of various genes related to the response to different stresses [18]. After induction by pathogen attack, PR genes are activated and/or HR response is promoted by TFs [10].
A deeper knowledge of the molecular mechanisms that involve the relation between a plant and a specific pathogen has been highly facilitated by the technological developments that occurred over the last decade. Transcriptome analyses turns possible the discovery of the molecular basis of plant–pathogen interaction, allowing the scrutiny of the molecular repertoires available for defense responses in host plants [19], including the identification of genes coding for TFs [19,20]. In addition, there were already performed studies that functionally characterized TFs genes in several plant species, in order to enhance their resistance against several stress situations, in view of crop improvement [18].
Tomato (Solanum lycopersicum) has been deeply studied, showing high interest as a model plant species [21]. It is affected by an abundance of pathogens that cause serious diseases, hence reducing yield and affecting product quality [22] and, contrary to other model organisms, tomato has important agronomic characteristics, as the production of fleshy fruits, widely used in human diet [21].
With diverse germplasms available across the world, breeding programs have made great strides in tomato improvement, with many morphological distinct cultivars developed from the single species of S. lycopersicum. However, the cultivated S. lycopersicum species was estimated to contain only about 5% of the total genetic variation existing in all tomato species, which occurred during its domestication and early breeding [23]. Unfortunately, resistance to important traits such as biotic and abiotic factors have been impaired during the process of domestication.
To compensate for the limited genetic diversity within the cultivated S. lycopersicum species, the genetic engineering that involves the transfer of desired genes broadens the chances for crop improvement. Several genome editing approaches for breeding goals applications were already implemented for tomato resistance to various biotic and abiotic stresses and for traits improvement (see review in [24]).
In our previous review [19], we reported studies on tomato transcriptome profiling regarding differential gene expression in response to pathogens. We have identified genes encoding TFs as commonly differentially expressed regardless of the pathogens’ type: bacteria, fungi, oomycetes, viruses, or nematodes. Since TFs are key components of plant defense mechanisms and therefore excellent candidates regarding crop improvement, in the present review, we focus on the identification and on the role of different families of TFs on tomato response to a large range of plant pathogens, including studies for engineering pathogen resistance in tomato plants. Figure 2 demonstrates a schematic representation of the approach followed in the present work.

2. Genome Editing to Increase Tomato Resistance to Biotic Stress

A high percentage of crops become deteriorated annually all over the world during growth or post-harvest storage due to diseases caused by several types of pathogens, mainly fungi, bacteria, viruses, and nematodes. Tomato, one of the most important vegetable crops worldwide, had an estimated production near 190 million tonnes in 2020 (https://www.fao.org/faostat/en/#data/QCL/visualize, accessed on 27 January 2022). The quality and yield of tomato is highly reduced by infectious diseases, and the most common disease symptoms consisting of fruit spots, rots, wilts, and leaf spots/blights [22].
Over the last 50 years, the prevailing control measure for disease management in crop production has been through the application of chemical pesticides, with the continuous exposure adversely affecting the soil texture, productivity, water contamination, and nutritional content of vegetables, as well as human health [25]. In this context, novel emerging technologies are gaining importance for a better agricultural sustainability. Traditionally, breeding applied to plant species has allowed the generation of new crop varieties, but more recently, new technologies with the precise introduction of desirable alleles into many different, locally adapted elite varieties offer an opportunity to rapidly generate improved varieties with reduced costs [26]. Plant molecular biology and biotechnology studies have supported plant defense strategies, making possible the selection of traits that might decrease pathogen’s aggression [27]. Genetic transformation, offering an opportunity to stably insert specific gene sequences into a host plant, remains generally the most frequently exploited strategy [28]. Biotechnological tools can, for example, counterbalance pathogen aggressiveness and consequent yield losses, through the overexpression of defense genes against crop pathogens [27] and more recently with new breeding techniques that have been developed and optimized. Discussions are ongoing concerning ethical and societal questions regarding the definition of genetic modification, and protection of biological diversity from the potential risks posed by living modified organisms resulting from modern biotechnology for mankind and environment defined in the Cartagena Protocol on Biosafety [29].
Genome editing is a great innovation in plant breeding that facilitates efficient, precise, and targeted modifications at genomic loci that will allow the obtention of transgene-free plants. These plants are identical or similar to the ones generated by conventional breeding techniques, with the genome editing enabling the precise editing of a gene of interest [30]. Over recent years, many advances have been made in the RNA-based gene regulation approach, i.e., RNA interference (RNAi). RNAi is a gene-silencing phenomenon, which can be used for the development of crops that are tolerant to stress conditions and disease-resistant, not only by the modification of the expression of a gene but also for the assessment of gene function and plant metabolic engineering [31]. Gene silencing occurs through transcriptional gene silencing (TGS) or post-transcriptional gene silencing (PTGS). Gene silencing may be induced by viruses—virus-induced gene silencing (VIGS)—a tool in PTGS for the functional characterization of genes in plants that has been widely used in several plant species [32]. Gene-editing technologies such as the ones based on clustered regularly interspaced short palindromic repeats, (CRISPR)/CRISPR-associated protein (CRISPR/Cas), are powerful tools for precise targeted modifications of nearly all crops’ genome sequences to generate variation and accelerate breeding efforts. CRISPR/Cas allows targeting a sequence for gene knockout, knock in, and replacement, along with observing and regulating gene expression by binding a specific sequence at the genome and epigenome levels [33]. Tools for editing the genome have already been applied for tomato breeding to increase the resistance to biotic stresses (see review in [24,34,35]). As an example, we report the silencing of the Powdery Mildew Resistance 4 (PMR4) gene through RNAi that resulted in resistance to the tomato powdery mildew fungus Oidium neolycopersici [36]. Furthermore, a non-transgenic tomato variety also resistant to the same fungus was generated using the CRISPR/Cas9 technology through an edited homozygous loss-of-function mutations of MILDEW RESISTANT LOCUS O (slmlo1) tomato variety [26].

3. Transcription Factors Are Involved in Plant Defense Response

Several families of TFs have been found according to specific amino acid sequences and conserved DNA-binding domains [18]. The role of TFs on transcriptional reprogramming, as transcriptional activators or repressors, leads to their involvement in large-scale biological phenomena that include growth and development [17,18]. In plants, the successful defense response is dependent on the precise and on-time detection of the pathogenic agent and ensuing induction of the responsible pathways to move away the pathogens [12]. The plant defense response is achieved by the key role that TFs have on transcriptional reprogramming, involving an infinitive of highly synchronized complexed molecular, biochemical, and physiological changes [12]. The roles of TFs in plant defense have been highlighted by several authors (see review in [10]). Figure 1 and Figure 2 broadly summarize the general activation of TFs in response to pathogen attack.
TFs involved in the various defense pathways with critical roles in immune responses against pathogens mostly belong to the families WRKY, NAC (NAM, ATAF, and CUC), AP2/ERF (Apetala2/Ethylene Responsive Factor), bZIP (basic leucine zipper domain), and bHLH (basic helix-loop-helix). Below, we briefly describe the structural and functional aspects of those families.

3.1. WRKY

WRKY TFs compose one of the largest families of transcriptional regulators [37]. They consist of ~60 amino acids, with the highly conserved WRKYGQK domain at the N-terminus and a zinc-finger motif at the C-terminus. WRKY TFs can be divided into Groups I, II, and III, based on the type of zinc-finger structures and the number of WRKY domains [38]. In general, target genes are regulated by WRKY TFs through binding W-box (TTGACY, with the core sequence TGAC) cis-elements in gene promoters, although other binding sites have been reported [38,39]. The complete genome sequencing of many plants has resulted in a more comprehensive identification of multiple members of the WRKY TF class, with several genes found in several plant species [10,40,41,42,43].
The involvement of WRKYs in PTI and ETI takes place at different regulatory levels [44]. They can interact with PAMPs or effector proteins to activate or repress both PTI and ETI. Insights on the involvement of WRKYs in different aspects of plant biology are given through numerous expression and functional studies. They are involved in several processes such as seed dormancy, germination, and development, besides abiotic and biotic stress responses [37]. Several WRKY genes are responsive to pathogens, elicitors, and defense-related phytohormones (i.e. salicylic acid (SA) and jasmonic acid (JA)), which implies a major role of this family in plant immunity [38].

3.2. NAC

The NAC (NAM, CUC, and ATAF) gene family belongs to a larger family encoding plant-specific TFs [45]. The members of this family are widespread in plants and are characterized by the presence of a highly conserved N-terminal region, known as NAC domain (~150 amino acids). This region functions as a DNA-binding domain and is also responsible for oligomerization into dimer [39,46]. However, their C-terminal transcription regulatory domains vary and can activate or repress transcription, with conserved specific motifs for a given subgroup within NAC subfamilies [44,46,47].
NAC genes have been identified through genome-wide studies and expression analyses in different plant species such as rice, tomato, tobacco, or cucumber [48,49,50,51]. Immunity-related NAC TFs, belonging to different NAC subfamilies, have been reported to play important roles in plant immunity as negative or positive regulators, modulators of HR, and stomatal immunity or targets of pathogen effectors (see review in [52]). NAC genes expression is induced by abiotic [53] and biotic stresses, with genes involved in defense response against pathogen invasion, insect feeding, and wounding [54].

3.3. AP2/ERF

The AP2/ERF gene family is an important family encoding plant-specific TFs, with members identified in many plant species [55,56]. This superfamily is defined by the AP2/ERF domain, constituted by 60 to 70 amino acids. The AP2/ERF domain is involved in DNA binding, and contains an N-terminal, a three-stranded β-sheet, and a C-terminal α-helix [57]. It is divided into different sub-families: AP2 (APETALA2), ERF (ethylene responsive factors), RAV (Related to ABI3/VP), DREB (dehydration responsive element binding), and soloist [55,58]. AP2/ERF TFs have been demonstrated to play important roles in developmental processes, tolerance to biotic and abiotic stresses, and hormone signaling transduction in plants [56,59,60,61,62]. AP2/ERF, as the final responsive genes in the ethylene signaling pathway, have a role on the modulation of phytohormone biosynthesis, including ethylene, auxin, cytokinin, gibberellin, ABA, and jasmonate (see review in [62]).

3.4. bHLH

bHLH proteins have been widely studied in plants, including Capsicum annum, tobacco, potato, and tomato [63,64,65,66], although they are distributed in eukaryotes [64]. The family members of this large superfamily of TFs are divided into several groups and contain a bHLH domain that comprises approximately 60 amino acids, including a basic region and an HLH region with several functions [17,67]. The basic region, characterized by approximately 17 amino acids located at the N-terminus of the domain, is a DNA-binding region that allows HLH proteins to bind to a consensus hexanucleotide E-box (CANNTG) [64,68]. bHLH TFs have a central role in many physiological, metabolic, and developmental processes in higher organisms [66] and are associated to the plants primary and specialized metabolites [63]. Some of them are closely related to hormone signaling, phytochrome signaling, flavonoid biosynthesis, and stress responses including immunity against pathogenic agents such as fungi and bacteria [69,70,71].

3.5. bZIP

bZIP proteins belong to a large family of plant TFs and are divided into several groups. This family is composed by a bZIP domain, consisting of 60 to 80 amino acids, a DNA-binding basic region, and a leucine zipper for homo- or hetero-dimerization [17]. It was already demonstrated by genetic and molecular studies that bZIP factors in plants regulate diverse biological processes that include seed formation, floral development, and also responses to abiotic and biotic stresses [17].
bZIP genes have been identified in all eukaryotes including plant species such as Arabidopsis, maize, pepper, and tomato [72,73,74,75]. Amongst the bZIP TFs, the well-studied TGA proteins play a central role in signaling mediated by SA and in defense against pathogen attack [10]. The involvement of bZIP TFs in plant defense was already proven in plants such as Arabidopsis, in which two of the 10 groups of bZIP TFs were shown to play a role in plant innate immunity [14], and in tobacco and maize, in which some group members are proposed to participate in defense response [73,76]. Additionally, a bZIP gene is highly expressed in pepper plants after inoculation with the biotrophic bacteria Xanthomonas campestris pv. vesicatoria and by defense-related hormones such as ethylene, methyl jasmonate, and SA [77]. bZIP TFs from the TGA family regulate the PR genes due to their physical interaction with the identified positive regulator, nonexpresser of PR gene1 (NPR1), as reported by Kesarwani et al. [76].

4. Transcription Factors Are Involved in Tomato Resistance to Biotic Stresses

The tomato genome was completely sequenced [78], and the freely available genome database provides an excellent platform, offering an opportunity to characterize gene families, including the TFs at the genome-wide level. Figure 2 and Table S1 indicate the number of tomato TFs belonging to the different families and subfamilies. Tomato is, as described above, susceptible to several diseases caused by a wide range of pathogens. Novel methodologies have allowed a deeper knowledge on the molecular mechanisms involved in tomato–pathogen interaction and identify TFs as excellent candidates for crop breeding [19].
Genome-editing tools for improving traits such as disease resistance have demonstrated their relevance in tomato response to pathogen infection [24]. Below, we describe studies on the identification of TFs in tomato and report relevant research on the involvement of the different TFs’ families and genes on the response of tomato to infection by several pathogens (Table 1). We also identify genetic engineering tools to incorporate new sources of resistance in tomato (Table 1). Although studies on the involvement of genes coding for tomato TFs in response to biotic stress performed in other species such as Arabidopsis or rice (i.e., [40]) can be found, they are not being considered in the present study.
A total of 83 WRKY genes were identified in tomato [96] (Table S1), and several studies demonstrate their roles in tomato defense by showing altered expression of WRKYs genes upon infection of pathogens, as well as research involving overexpression and/or silencing of different WRKYs genes (Table 1).
Liu and co-authors [79] identified a responsive WRKY gene SlDRW1 (S. lycopersicum defense-related WRKY1), whose expression was significantly induced by Botrytis cinerea. Silencing of SlDRW1 resulted in increased severity of disease caused by B. cinerea, attenuating the defense response and affecting the expression of a group of genes involved in defense response. Interestingly, the overexpression in cultivated tomato of a pathogen-induced SpWRKY1 gene from the wild tomato S. pimpinellifolium led to a sharp increased resistance to Phytophthora infestans when compared with the wild-type plants [80]. The overexpression of SpWRKY1 was accompanied by the regulation of the expression of an abscisic acid (ABA) biosynthetic gene, which reveals a potentially positive role of SpWRKY1 in ABA-mediated stomatal closure [80]. Cui et al. [81] state that, amongst the 35 TFs genes from tomato induced by P. infestans, the accumulation of the SpWRKY3 was significantly changed; following a transgenic approach, the overexpression of SpWRKY3 positively modulated defense response against P. infestans, while the resistance was impaired after SpWRKY3 silencing [81]. These authors state that transgenic tomato plants overexpressing SpWRKY3 induce the expression of PR genes and reduce ROS accumulation to protect against cell membrane injury, leading to enhanced resistance to P. infestans. Following a transcriptomic approach, under the invasion of tomato by Pseudomonas syringae, Huang et al. [82] validated the up-regulated expressions of the genes SlWRKY8, SlWRKY23, SlWRKY39, SlWRKY53, SlWRKY80, and SlWRKY81. These authors point to the importance of the functional exploration of tomato WRKYs to provide a subset of candidate target genes for transgenic studies to improve stress tolerance. A tomato line overexpressing SlWRKY39 already showed enhanced resistance to P. syringae, probably via increased the expression of both PR and stress-related genes [83]. WRKY TFs are also involved in tomato defense against root-knot nematodes (RKN). Using microarray analysis, Bhattarai et al. [84] identified the SlWRKY72a and SlWRKY72b genes as transcriptionally up-regulated during the RKN disease resistance mediated by the R gene Mi-1. Silencing of these two genes in tomato resulted in a clear reduction of Mi-1-mediated resistance as well as basal defense against RKN. SlWRKY70 was also required for Mi-1-mediated resistance against RKN [97]. Chinnapandi and co-workers [85] observed, in roots overexpressing SlWRKY45, enhanced tomato susceptibility to RKN, which was associated with a decreased expression of JA and SA marker genes, proteinase inhibitor and PR protein (PR1), and also the cytokinin response factors CRF1 and CRF6. The Group III WRKY genes SolyWRKY41, SolyWRKY42, SolyWRKY53, SolyWRKY54, SolyWRKY80, and SolyWRKY8 were also identified as positive and negative regulators in tomato–Tomato yellow leaf curly virus (TYLCV) interaction [86]. It was verified that TFs from Group III were responsive to abiotic and biotic stress, due to the interaction with other proteins, such as mitogen-activated protein kinase 5 (MAPK) and isochorismate synthase (ICS).Additionally, the silencing of SolyWRKY41 and SolyWRKY54 decrease accumulation of TYLCV DNA [86].
Regarding NAC TFs, 93 putative NAC proteins were identified in the tomato genome [49] (Table S1). Although NACs were identified in tomato because of their role in diverse developmental processes [98,99], their relevant role in both in abiotic and biotic stress responses is evident [49,53,88,89].
Several studies involving NAC TFs were conducted due to their role in tomato defense by either overexpression and/or silencing, revealing functions as regulators of plant responses to biotic stresses (Table 1). Using an RNA-seq approach, Wang et al. [87] identified a NAC TF-encoding gene (SlNAP1), which was strongly induced by several stress conditions. By generating SlNAP1 transgenic lines and evaluating their responses to biotic stress, these authors verified that SlNAP1-overexpressing tomato plants presented a significantly enhanced defense against the bacterial diseases caused by P. syringae pv. tomato (Pst) DC3000, and Ralstonia solanacearum. SlNAP1 was proposed to positively regulate the defense response through the promotion of gibberellins deactivation and by stimulating SA and ABA biosynthesis, further indicating the importance of NAC TFs in crop breeding [87].
Liu and co-authors [88] screened several genes using a VIGS-based approach and found that the severity of the disease caused by B. cinerea was increased by the silencing the tomato NAC gene SlSRN1. These authors verify a significantly induced expression of SlSRN1 after infection with B. cinerea or P. syringae pv. tomato (Pst). The expression of the stress related SlNAC1 gene was also strongly upregulated during P. syringae infection, while repression of the NAC1 ortholog in Nicotiana benthamiana resulted in enhanced susceptibility to Pseudomonas [89]. Through a yeast (Saccharomyces cerevisiae) two-hybrid technology, it was found that SlNAC1 interact with geminivirus replication enhancer (REn) function from Tomato leaf curl virus (TLCV), and overexpression of SlNAC1 enhances the accumulation of TLCV DNA [90].
An interesting finding regarding the role of NAC TFs during pathogen attack is reported by Du and co-authors [100]. Distinct roles were found for two tomato NAC homologues, JA2 (jasmonic acid2) and JA2L(JA2-like), in the regulation of P. syringae-triggered stomatal movement; JA2 revealed its positive role in ABA-mediated stomatal closure, whereas JA2L executes stomatal reopening by regulating the expression of genes involved in the metabolism of SA [100].
A total of 167 AP2/ERF TFs were reported in tomato, with all five subfamilies identified (DREB, ERF, AP2, RAV, and Soloist) [101] (Table S1). Within the ERF subfamily, 12 groups were identified [92]. The ERF subfamily is widely involved in the regulation of plant development as well as in responses to abiotic and biotic stresses [92]. Gu and co-authors [102] reported that tomato ERF TFs activate the expression of a wide array of PR genes and play important and distinct roles in plant defense.
The involvement of AP2/ERF TFs (specially belonging to ERF subfamily) in tomato response to pathogens has been the focus of several studies, with reports of altered expression, as well as research involving overexpression and/or silencing of different AP2/ERF genes (Table 1). Following a transcriptomic microarray analysis using the necrotrophic pathogen Alternaria solani, in a resistant tomato genotype, a high level of expression of the TF ERF-3 was observed, with ERF-3 also playing a role on transcription of genes coding for PR-1 [91]. Upadhyay and co-authors [91] point to the involvement of ERF TFs in signaling pathways and defense against necrotrophic pathogens generally mediated through signaling. Amongst the increase of 18 ERFs genes post inoculation with Stemphylium lycopersici, the positive effect of ERF2 on tomato resistance to the gray leaf spot disease was highlighted, since, in ERF2-silenced plants, the susceptible phenotype was observed after inoculation with S. lycopersici, with decreased HR and ROS production [92]. These findings indicate that ERF2 may directly or indirectly regulate PR Pto protein kinases, PR1b1 and PR-P2 expression, and enhance tomato resistance to S. lycopersici. A transcriptomic analysis also revealed 22 AP2/ERF TFs in response to TYLCV infection [101].
The involvement of a AP2-domain TF on the tomato´s defense response to the necrotrophic foliar pathogen B. cinerea and the bacterial pathogen X. campestris pv. vesicatoria was also reported by Buxdorf and co-authors [93]. These authors point the role of the cuticle in plant interactions with pathogens and with their surroundings and the importance of tomato TFs in the regulation of cuticle production. In a SlSHINE3-overexpressed line, it was verified resistance to B. cinerea infection and to X. campestris pv. vesicatoria, correlated with cuticle permeability and elevated expression of pathogenesis-related genes PR1a and Allene Oxide Synthase (AOS); on the other hand, the Slshn3-silenced line revealed higher susceptibility to B. cinerea.
The bHLH gene family in tomato was firstly identified by Sun and co-workers [66]. These authors identified, in the tomato genome, a total of 159 bHLH (SlbHLH) protein-encoding genes, classified into 21 subfamilies (Table S1). However, there are few studies showing altered expression of tomato bHLH genes upon infection of pathogens, as well as research involving the application of genetic engineering tools (Table 1). Kim and Mudgett [71] identified bHLH132 as highly induced by X. euvesicatoria and demonstrate that this TF is induced by microbe-associated molecular patterns (MAMPs) and defense hormones and specifically by X. euvesicatoria effector XopD. In this sense, bHLH132 is crucial to the protection of plants against X. euvesicatoria infection, playing an important role in tomato immunity [71]. The bHLH MYC2 TF was identified as master regulator in the JA signaling pathway [103]. In fact, it was already verified that the knockout of the tomato SlMYC2 caused a significant decrease of the expression of the PR genes SlPR-1 and SlPR-STH2 and of genes linked to the signaling pathway and JA biosynthesis, besides a decrease on the activities of disease defensive and antioxidant enzymes, with a consequent exacerbation of the B. cinerea disease symptoms [94].
In tomato, a genome-wide identification and systematic analyses revealed the existence of 69 bZIP genes, classified into 24 distinct subfamilies [75] (Table S1). Li and co-authors [75] observed distinct and diverse expression patterns among the tomato SlbZIP genes in different developmental stages and tissues, with several tomato bZIP genes possibly involved in responses to different abiotic and biotic stress conditions. The role of the tomato bZIP TF SlAREB1 in response to biotic stress was reported by Orellana et al. [95] (Table 1). When compared with the wild type, mutants overexpressing SlAREB1 presented an increased tolerance to abiotic stress and a higher expression of genes associated with biotic stress responses (PR proteins, protease inhibitors and catabolic enzymes). These authors hypothesized a potential involvement of SlAREB1 TF in response to pathogens during plant defense [95].

5. Final Considerations

TFs, acting through sequence-specific interactions with cis-regulatory DNA elements in the promoters of genes, arise as key regulators of tomato defense response against a wide array of pathogens linked to important diseases, together with a complex cross-talk between different signal transduction pathways. Thus, genes that encode TFs are master regulators of stress-related genes and offer extended possibilities related to their use for engineering pathogen resistance in tomato plants, as promising candidates for tomato breeding, taking advantage of molecular techniques that have been recently emerging applied to plant breeding in the genomics and genome editing era.

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/article/10.3390/biology11020235/s1, Table S1: Number of members of the different families and subfamilies or groups of tomato transcription factors (TFs).

Author Contributions

Conceptualization: M.D.C. and C.V.; writing—original draft preparation: M.D.C.; writing—review and editing: M.D.C., M.d.R.F., M.P., P.M., A.A., J.A.R., and C.V.; funding acquisition: C.V. and P.M. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the projects “Development of a new virus-based vector to control TSWV in tomato plants” with the references ALT20-03-0145-FEDER-028266 and PTDC/ASP-PLA/28266/2017, and “Control of olive anthracnose through gene silencing and gene expression using a plant virus vector” with the references ALT20-03-0145-FEDER-028263 and PTDC/ASP-PLA/28263/2017, co-financed by the European Union through the European Regional Development Fund, under the ALENTEJO 2020 (Regional Operational Program of the Alentejo), ALGARVE 2020 (Regional Operational Program of the Algarve) and through the Foundation for Science and Technology (FCT), in its national component. M.P. was supported by Portuguese National Funds through FCT/MCTES, under the PhD scholarship SFRH/BD/145321/2019, co-financed by the European Social Fund through the Regional Operational Program of the Alentejo. This work was also supported by National Funds through FCT under the Project UIDB/05183/2020.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Campos, M.D.; Patanita, M.; Varanda, C.; Materatski, P.; Félix, M.R. Plant-Pathogen Interaction. Biology 2021, 10, 444. [Google Scholar] [CrossRef] [PubMed]
  2. Burdon, J.J.; Zhan, J. Climate change and disease in plant communities. PLoS Biol. 2020, 18, e3000949. [Google Scholar] [CrossRef] [PubMed]
  3. Campos, M.D.; Patanita, M.; Campos, C.; Materatski, P.; Varanda, C.M.R.; Brito, I.; Félix, M.R. Detection and quantification of Fusarium spp. (F. oxysporum, F. verticillioides, F. graminearum) and Magnaporthiopsis maydis in maize using real-time PCR targeting the ITS region. Agronomy 2019, 9, 45. [Google Scholar] [CrossRef] [Green Version]
  4. Varanda, C.M.R.; Materatski, P.; Landum, M.; Campos, M.D.; Félix, M.R. Fungal communities associated with peacock and cercospora leaf spots in olive. Plants 2019, 8, 169. [Google Scholar] [CrossRef] [Green Version]
  5. Campos, M.D.; Zellama, M.S.; Varanda, C.; Materatski, P.; Peixe, A.; Chaouachi, M.; Félix, M.R. Establishment of a sensitive qPCR methodology for detection of the olive-infecting viruses in portuguese and tunisian orchards. Front. Plant Sci. 2019, 10, 694. [Google Scholar] [CrossRef] [PubMed]
  6. Buscaill, P.; Rivas, S. Transcriptional control of plant defence responses. Curr. Opin. Plant Biol. 2014, 20, 35–46. [Google Scholar] [CrossRef]
  7. Dodds, P.N.; Rathjen, J.P. Plant immunity: Towards an integrated view of plant–pathogen interactions. Nat. Rev. Genet. 2010, 11, 539–548. [Google Scholar] [CrossRef]
  8. El Hadrami, A.; Adam, L.R.; Daayf, F. Biocontrol treatments confer protection against Verticillium dahliae infection of potato by inducing antimicrobial metabolites. Mol. Plant-Microbe Interact. 2011, 24, 328–335. [Google Scholar] [CrossRef] [Green Version]
  9. Guttman, D.S.; McHardy, A.C.; Schulze-Lefert, P. Microbial genome-enabled insights into plant-microorganism interactions. Nat. Rev. Genet. 2014, 15, 797–813. [Google Scholar] [CrossRef]
  10. Amorim, L.; Santos, R.; Neto, J.; Guida-Santos, M.; Crovella, S.; Benko-Iseppon, A. Transcription factors involved in plant resistance to pathogens. Curr. Protein Pept. Sci. 2016, 18, 335–351. [Google Scholar] [CrossRef]
  11. Chisholm, S.T.; Coaker, G.; Day, B.; Staskawicz, B.J. Host-microbe interactions: Shaping the evolution of the plant immune response. Cell 2006, 124, 803–814. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Jones, J.D.G.; Dangl, J.L. The plant immune system. Nature 2006, 444, 323–329. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Jalali, B.L.; Bhargava, S.; Kamble, A. Signal transduction and transcriptional regulation of plant defence responses. J. Phytopathol. 2006, 154, 65–74. [Google Scholar] [CrossRef]
  14. van Verk, M.C.; Gatz, C.; Linthorst, H.J.M. Chapter 10 Transcriptional regulation of plant defense responses. Adv. Bot. Res. 2009, 51, 397–438. [Google Scholar] [CrossRef]
  15. Rezzonico, F.; Rupp, O.; Fahrentrapp, J. Pathogen recognition in compatible plant-microbe interactions. Sci. Rep. 2017, 7, 6383. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Inukai, S.; Kock, K.H.; Bulyk, M.L. Transcription factor–DNA binding: Beyond binding site motifs. Curr. Opin. Genet. Dev. 2017, 43, 110–119. [Google Scholar] [CrossRef] [Green Version]
  17. Seo, E.; Choi, D. Functional studies of transcription factors involved in plant defenses in the genomics era. Brief. Funct. Genomics 2015, 14, 260–267. [Google Scholar] [CrossRef] [Green Version]
  18. Javed, T.; Shabbir, R.; Ali, A.; Afzal, I.; Zaheer, U.; Gao, S.J. Transcription factors in plant stress responses: Challenges and potential for sugarcane improvement. Plants 2020, 9, 491. [Google Scholar] [CrossRef]
  19. Campos, M.D.; Félix, M.R.; Patanita, M.; Materatski, P.; Varanda, C. High throughput sequencing unravels tomato-pathogen interactions towards a sustainable plant breeding. Hortic. Res. 2021, 8, 171. [Google Scholar] [CrossRef]
  20. Zhao, M.; Ji, H.M.; Gao, Y.; Cao, X.X.; Mao, H.Y.; Ouyang, S.Q.; Liu, P. An integrated analysis of mRNA and srna transcriptional profiles in tomato root: Insights on tomato wilt disease. PLoS ONE 2018, 13, e0206765. [Google Scholar] [CrossRef]
  21. Gerszberg, A.; Hnatuszko-Konka, K.; Kowalczyk, T.; Kononowicz, A.K. Tomato (Solanum lycopersicum L.) in the service of biotechnology. Plant Cell. Tissue Organ Cult. 2015, 120, 881–902. [Google Scholar] [CrossRef] [Green Version]
  22. Panno, S.; Davino, S.; Caruso, A.G.; Bertacca, S.; Crnogorac, A.; Mandi, A. A review of the most common and economically important diseases that undermine the cultivation of tomato crop in the mediterranean basin. Agronomy 2021, 11, 2188. [Google Scholar] [CrossRef]
  23. Simko, I.; Jia, M.; Venkatesh, J.; Kang, B.C.; Weng, Y.; Barcaccia, G.; Lanteri, S.; Bhattarai, G.; Foolad, M.R. Genomics and marker-assisted improvement of vegetable crops. CRC. Crit. Rev. Plant Sci. 2021, 40, 303–365. [Google Scholar] [CrossRef]
  24. Salava, H.; Thula, S.; Mohan, V.; Kumar, R.; Maghuly, F. Application of genome editing in tomato breeding: Mechanisms, advances, and prospects. Int. J. Mol. Sci. 2021, 22, 682. [Google Scholar] [CrossRef] [PubMed]
  25. Singh, V.K.; Singh, A.K.; Kumar, A. Disease management of tomato through PGPB: Current trends and future perspective. 3 Biotech 2017, 7, 255. [Google Scholar] [CrossRef] [PubMed]
  26. Nekrasov, V.; Wang, C.; Win, J.; Lanz, C.; Weigel, D.; Kamoun, S. Rapid generation of a transgene-free powdery mildew resistant tomato by genome deletion. Sci. Rep. 2017, 7, 482. [Google Scholar] [CrossRef] [Green Version]
  27. Parmar, N.; Singh, K.H.; Sharma, D.; Singh, L.; Kumar, P.; Nanjundan, J.; Khan, Y.J.; Chauhan, D.K.; Thakur, A.K. Genetic engineering strategies for biotic and abiotic stress tolerance and quality enhancement in horticultural crops: A comprehensive review. 3 Biotech 2017, 7, 239. [Google Scholar] [CrossRef]
  28. Capriotti, L.; Baraldi, E.; Mezzetti, B.; Limera, C.; Sabbadini, S. Biotechnological approaches: Gene overexpression, gene silencing, and genome editing to control fungal and oomycete diseases in grapevine. Int. J. Mol. Sci. 2020, 21, 5701. [Google Scholar] [CrossRef]
  29. Louwaars, N.; Jochemsen, H. An ethical and societal analysis for biotechnological methods in plant breeding. Agronomy 2021, 11, 1183. [Google Scholar] [CrossRef]
  30. Xia, X.; Cheng, X.; Li, R.; Yao, J.; Li, Z.; Cheng, Y. Advances in application of genome editing in tomato and recent development of genome editing technology. Theor. Appl. Genet. 2021, 134, 2727–2747. [Google Scholar] [CrossRef]
  31. Pathak, K.; Gogoi, B. RNA interference (RNAi): Application in crop improvement: A review. Agric. Rev. 2016, 37. [Google Scholar] [CrossRef]
  32. Lange, M.; Yellina, A.L.; Orashakova, S.; Becker, A. Virus-induced gene silencing (VIGS) in plants: An overview of target species and the virus-derived vector systems. Methods Mol. Biol. 2013, 975, 1–14. [Google Scholar] [CrossRef] [PubMed]
  33. Varanda, C.M.; Félix, M.R.; Campos, M.D.; Patanita, M.; Materatski, P. Plant viruses: From targets to tools for CRISPR. Viruses 2021, 13, 141. [Google Scholar] [CrossRef] [PubMed]
  34. Wang, T.; Zhang, H.; Zhu, H. CRISPR technology is revolutionizing the improvement of tomato and other fruit crops. Hortic. Res. 2019, 6, 77. [Google Scholar] [CrossRef] [Green Version]
  35. Chaudhary, R.; Atamian, H.S. Resistance-gene-mediated defense responses against biotic stresses in the crop model plant tomato. J. Plant Pathol. Microbiol. 2017, 8. [Google Scholar] [CrossRef]
  36. Huibers, R.P.; Loonen, A.E.H.M.; Gao, D.; Van den Ackerveken, G.; Visser, R.G.F.; Bai, Y. Powdery mildew resistance in tomato by impairment of SlPMR4 and SlDMR1. PLoS ONE 2013, 8, e67467. [Google Scholar] [CrossRef] [Green Version]
  37. Rushton, P.J.; Somssich, I.E.; Ringler, P.; Shen, Q.J. WRKY transcription factors. Trends Plant Sci. 2010, 15, 247–258. [Google Scholar] [CrossRef]
  38. Chen, X.; Li, C.; Wang, H.; Guo, Z. WRKY transcription factors: Evolution, binding, and action. Phytopathol. Res. 2019, 1, 13. [Google Scholar] [CrossRef]
  39. Baillo, E.H.; Kimotho, R.N.; Zhang, Z.; Xu, P. Transcription factors associated with abiotic and biotic stress tolerance and their potential for crops improvement. Genes 2019, 10, 771. [Google Scholar] [CrossRef] [Green Version]
  40. Bai, Y.; Sunarti, S.; Kissoudis, C.; Visser, R.G.F.; van der Linden, C.G. The role of tomato WRKY genes in plant responses to combined abiotic and biotic stresses. Front. Plant Sci. 2018, 9, 801. [Google Scholar] [CrossRef] [Green Version]
  41. Xie, Zhen, Zhong-Lin Zhang, Xiaolu Zou, Jie Huang, Paul Ruas, Daniel Thompson, and Q. J.S. Annotations and functional analyses of the rice WRKY gene superfamily reveal positive and negative regulators of abscisic acid signaling in. 2005, 137, 176–189. [CrossRef]
  42. Dong, J.; Chen, C.; Chen, Z. Expression profiles of the Arabidopsis WRKY gene superfamily during plant defense response. Plant Mol. Biol. 2003, 51, 21–37. [Google Scholar] [CrossRef] [PubMed]
  43. Li, M.Y.; Xu, Z.S.; Tian, C.; Huang, Y.; Wang, F.; Xiong, A.S. Genomic identification of WRKY transcription factors in carrot (Daucus carota) and analysis of evolution and homologous groups for plants. Sci. Rep. 2016, 6, 23101. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Bakshi, M.; Oelmüller, R. Wrky transcription factors jack of many trades in plants. Plant Signal. Behav. 2014, 9, e27700. [Google Scholar] [CrossRef] [Green Version]
  45. Riechmann, J.L.; Heard, J.; Martin, G.; Reuber, L.; Jiang, C.; Keddie, J.; Adam, L.; Pineda, O.; Ratcliffe, O.J.; Samaha, R.R.; et al. Arabidopsis transcription factors: Genome-wide comparative analysis among eukaryotes. Science 2000, 290, 2105–2110. [Google Scholar] [CrossRef]
  46. Zhang, H.; Kang, H.; Su, C.; Qi, Y.; Liu, X.; Pu, J. Genome-wide identification and expression profile analysis of the NAC transcription factor family during abiotic and biotic stress in woodland strawberry. PLoS ONE 2018, 13, e0197892. [Google Scholar] [CrossRef]
  47. Shen, H.; Yin, Y.; Chen, F.; Xu, Y.; Dixon, R.A. A bioinformatic analysis of NAC genes for plant cell wall development in relation to lignocellulosic bioenergy production. Bioenergy Res. 2009, 2, 217–232. [Google Scholar] [CrossRef]
  48. Fang, Y.; You, J.; Xie, K.; Xie, W.; Xiong, L. Systematic sequence analysis and identification of tissue-specific or stress-responsive genes of NAC transcription factor family in rice. Mol. Genet. Genom. 2008, 280, 547–563. [Google Scholar] [CrossRef]
  49. Jin, J.F.; Wang, Z.Q.; He, Q.Y.; Wang, J.Y.; Li, P.F.; Xu, J.M.; Zheng, S.J.; Fan, W.; Yang, J.L. Genome-wide identification and expression analysis of the NAC transcription factor family in tomato (Solanum lycopersicum) during aluminum stress. BMC Genomics 2020, 21, 288. [Google Scholar] [CrossRef] [Green Version]
  50. Li, W.; Li, X.; Chao, J.; Zhang, Z.; Wang, W.; Guo, Y. NAC Family Transcription factors in tobacco and their potential role in regulating leaf senescence. Front. Plant Sci. 2018, 9, 1900. [Google Scholar] [CrossRef] [Green Version]
  51. Liu, X.; Wang, T.; Bartholomew, E.; Black, K.; Dong, M.; Zhang, Y.; Yang, S.; Cai, Y.; Xue, S.; Weng, Y.; et al. Comprehensive analysis of NAC transcription factors and their expression during fruit spine development in cucumber (Cucumis sativus L.). Hortic. Res. 2018, 5, 31. [Google Scholar] [CrossRef] [PubMed]
  52. Yuan, X.; Wang, H.; Cai, J.; Li, D.; Song, F. NAC transcription factors in plant immunity. Phytopathol. Res. 2019, 1, 3. [Google Scholar] [CrossRef]
  53. Thirumalaikumar, V.P.; Devkar, V.; Mehterov, N.; Ali, S.; Ozgur, R.; Turkan, I.; Mueller-Roeber, B.; Balazadeh, S. NAC transcription factor JUNGBRUNNEN1 enhances drought tolerance in tomato. Plant Biotechnol. J. 2018, 16, 354–366. [Google Scholar] [CrossRef] [PubMed]
  54. Nuruzzaman, M.; Sharoni, A.M.; Kikuchi, S. Roles of NAC transcription factors in the regulation of biotic and abiotic stress responses in plants. Front. Microbiol. 2013, 4, 248. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Licausi, F.; Ohme-Takagi, M.; Perata, P. APETALA2/Ethylene Responsive Factor (AP2/ERF) transcription factors: Mediators of stress responses and developmental programs. New Phytol. 2013, 199, 639–649. [Google Scholar] [CrossRef]
  56. Akbudak, M.A.; Filiz, E.; Kontbay, K. DREB2 (dehydration-responsive element-binding protein 2) type transcription factor in sorghum (Sorghum bicolor): Genome-wide identification, characterization and expression profiles under cadmium and salt stresses. 3 Biotech 2018, 8, 426. [Google Scholar] [CrossRef]
  57. Chen, C.Y.; Lin, P.H.; Chen, K.H.; Cheng, Y.S. Structural insights into Arabidopsis ethylene response factor 96 with an extended N-terminal binding to GCC box. Plant Mol. Biol. 2020, 104, 483–498. [Google Scholar] [CrossRef]
  58. Gutterson, N.; Reuber, T.L. Regulation of disease resistance pathways by AP2/ERF transcription factors. Curr. Opin. Plant Biol. 2004, 7, 465–471. [Google Scholar] [CrossRef]
  59. Chopra, R.; Burow, G.; Hayes, C.; Emendack, Y.; Xin, Z.; Burke, J. Transcriptome profiling and validation of gene based single nucleotide polymorphisms (SNPs) in sorghum genotypes with contrasting responses to cold stress. BMC Genom. 2015, 16, 1040. [Google Scholar] [CrossRef] [Green Version]
  60. Bihani, P.; Char, B.; Bhargava, S. Transgenic expression of sorghum DREB2 in rice improves tolerance and yield under water limitation. J. Agric. Sci. 2011, 149, 95–101. [Google Scholar] [CrossRef]
  61. Guo, B.; Wei, Y.; Xu, R.; Lin, S.; Luan, H.; Lv, C.; Zhang, X.; Song, X.; Xu, R. Genome-wide analysis of APETALA2/ethylene-responsive factor (AP2/ERF) gene family in barley (Hordeum vulgare L.). PLoS ONE 2016, 11, e0161322. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Gu, C.; Guo, Z.H.; Hao, P.P.; Wang, G.M.; Jin, Z.M.; Zhang, S.L. Multiple regulatory roles of AP2/ERF transcription factor in angiosperm. Bot. Stud. 2017, 58, 6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Liu, R.; Song, J.; Liu, S.; Chen, C.; Zhang, S.; Wang, J.; Xiao, Y.; Cao, B.; Lei, J.; Zhu, Z. Genome-wide identification of the capsicum bHLH transcription factor family: Discovery of a candidate regulator involved in the regulation of species-specific bioactive metabolites. BMC Plant Biol. 2021, 21, 262. [Google Scholar] [CrossRef] [PubMed]
  64. Bai, G.; Yang, D.H.; Chao, P.; Yao, H.; Fei, M.L.; Zhang, Y.; Chen, X.; Xiao, B.; Li, F.; Wang, Z.Y.; et al. Genome-wide identification and expression analysis of NtbHLH gene family in tobacco (Nicotiana tabacum L.) and the role of NtbHLH86 in drought adaptation. Plant Divers. 2021, 43, 510–522. [Google Scholar] [CrossRef] [PubMed]
  65. Wang, R.; Zhao, P.; Kong, N.; Lu, R.; Pei, Y.; Huang, C.; Ma, H.; Chen, Q. Genome-wide identification and characterization of the potato bHLH transcription factor family. Genes 2018, 9, 54. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Sun, H.; Fan, H.J.; Ling, H.Q. Genome-wide identification and characterization of the bHLH gene family in tomato. BMC Genom. 2015, 16, 9. [Google Scholar] [CrossRef] [Green Version]
  67. Toledo-Ortiz, G.; Huq, E.; Quail, P.H. The Arabidopsis basic/helix-loop-helix transcription factor family. Plant Cell 2003, 15, 1749–1770. [Google Scholar] [CrossRef] [Green Version]
  68. Atchley, W.R.; Terhalle, W.; Dress, A. Positional dependence, cliques, and predictive motifs in the bHLH protein domain. J. Mol. Evol. 1999, 48, 501–516. [Google Scholar] [CrossRef] [PubMed]
  69. Fan, M.; Bai, M.Y.; Kim, J.G.; Wang, T.; Oh, E.; Chen, L.; Park, C.H.; Son, S.H.; Kim, S.K.; Mudgett, M.B.; et al. The bHLH transcription factor HBI1 mediates the trade-off between growth and pathogen-associated molecular pattern-triggered immunity in Arabidopsis. Plant Cell 2014, 26, 828–841. [Google Scholar] [CrossRef] [Green Version]
  70. Kim, S.H.; Oikawa, T.; Kyozuka, J.; Wong, H.L.; Umemura, K.; Kishi-Kaboshi, M.; Takahashi, A.; Kawano, Y.; Kawasaki, T.; Shimamoto, K. The bHLH Rac immunity1 (RAI1) is activated by OsRac1 via OsMAPK3 and OsMAPK6 in rice immunity. Plant Cell Physiol. 2012, 53, 740–754. [Google Scholar] [CrossRef] [Green Version]
  71. Kim, J.G.; Mudgett, M.B. Tomato bHLH132 transcription factor controls growth and defense and is activated by Xanthomonas euvesicatoria effector XopD during pathogenesis. Mol. Plant-Microbe Interact. 2019, 32, 1614–1622. [Google Scholar] [CrossRef] [PubMed]
  72. Jakoby, M.; Weisshaar, B.; Dröge-Laser, W.; Vicente-Carbajosa, J.; Tiedemann, J.; Kroj, T.; Parcy, F. bZIP transcription factors in Arabidopsis. Trends Plant Sci. 2002, 7, 106–111. [Google Scholar] [CrossRef]
  73. Wei, K.; Chen, J.; Wang, Y.; Chen, Y.; Chen, S.; Lin, Y.; Pan, S.; Zhong, X.; Xie, D. Genome-wide analysis of bZIP-encoding genes in maize. DNA Res. 2012, 19, 463–476. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Gai, W.X.; Ma, X.; Qiao, Y.M.; Shi, B.H.; ul Haq, S.; Li, Q.H.; Wei, A.M.; Liu, K.K.; Gong, Z.H. Characterization of the bZIP transcription factor family in pepper (Capsicum annuum L.): CabZIP25 positively modulates the salt Tolerance. Front. Plant Sci. 2020, 11, 1–18. [Google Scholar] [CrossRef] [PubMed]
  75. Li, D.; Fu, F.; Zhang, H.; Song, F. Genome-wide systematic characterization of the bZIP transcriptional factor family in tomato (Solanum lycopersicum L.). BMC Genom. 2015, 16, 771. [Google Scholar] [CrossRef] [Green Version]
  76. Kesarwani, M.; Yoo, J.; Dong, X. Genetic interactions of TGA transcription factors in the regulation of pathogenesis-related genes and disease resistance in Arabidopsis. Plant Physiol. 2007, 144, 336–346. [Google Scholar] [CrossRef] [Green Version]
  77. Lim, C.W.; Baek, W.; Lim, S.; Han, S.W.; Lee, S.C. Expression and functional roles of the pepper pathogen-induced bZIP transcription factor CabZIP2 in enhanced disease resistance to bacterial pathogen infection. Mol. Plant-Microbe Interact. 2015, 28, 825–833. [Google Scholar] [CrossRef] [Green Version]
  78. Sato, S.; Tabata, S.; Hirakawa, H.; Asamizu, E.; Shirasawa, K.; Isobe, S.; Kaneko, T.; Nakamura, Y.; Shibata, D.; Aoki, K.; et al. The tomato genome sequence provides insights into fleshy fruit evolution. Nature 2012, 485, 635–641. [Google Scholar] [CrossRef] [Green Version]
  79. Liu, B.; Hong, Y.; Zhang, Y.; Li, X.; Huang, L.; Zhang, H. Tomato WRKY transcriptional factor SlDRW1 is required for disease resistance against Botrytis cinerea and tolerance to oxidative stress. Plant Sci. 2014, 227, 145–156. [Google Scholar] [CrossRef]
  80. Li, J.; Luan, Y.; Liu, Z. SpWRKY1 mediates resistance to Phytophthora infestans and tolerance to salt and drought stress by modulating reactive oxygen species homeostasis and expression of defense-related genes in tomato. Plant Cell. Tissue Organ Cult. 2015, 123, 67–81. [Google Scholar] [CrossRef]
  81. Cui, J.; Xu, P.; Meng, J.; Li, J.; Jiang, N.; Luan, Y. Transcriptome signatures of tomato leaf induced by Phytophthora infestans and functional identification of transcription factor SpWRKY3. Theor. Appl. Genet. 2018, 131, 787–800. [Google Scholar] [CrossRef] [PubMed]
  82. Huang, S.; Gao, Y.; Liu, J.; Peng, X.; Niu, X.; Fei, Z.; Cao, S.; Liu, Y. Genome-wide analysis of WRKY transcription factors in Solanum lycopersicum. Mol. Genet. Genom. 2012, 287, 495–513. [Google Scholar] [CrossRef] [PubMed]
  83. Sun, X.; Gao, Y.; Li, H.; Yang, S.; Liu, Y. sheng Over-expression of SlWRKY39 leads to enhanced resistance to multiple stress factors in tomato. J. Plant Biol. 2015, 58, 52–60. [Google Scholar] [CrossRef]
  84. Bhattarai, K.K.; Atamian, H.S.; Kaloshian, I.; Eulgem, T. WRKY72-type transcription factors contribute to basal immunity in tomato and Arabidopsis as well as gene-for-gene resistance mediated by the tomato R gene Mi-1. Plant J. 2010, 63, 229–240. [Google Scholar] [CrossRef]
  85. Chinnapandi, B.; Bucki, P.; Braun Miyara, S. SlWRKY45, nematode-responsive tomato WRKY gene, enhances susceptibility to the root knot nematode; M. javanica infection. Plant Signal. Behav. 2017, 12. [Google Scholar] [CrossRef] [Green Version]
  86. Huang, Y.; Li, M.Y.; Wu, P.; Xu, Z.S.; Que, F.; Wang, F.; Xiong, A.S. Members of WRKY Group III transcription factors are important in TYLCV defense signaling pathway in tomato (Solanum lycopersicum). BMC Genom. 2016, 17, 788. [Google Scholar] [CrossRef] [Green Version]
  87. Wang, J.; Zheng, C.; Shao, X.; Hu, Z.; Li, J.; Wang, P.; Wang, A.; Yu, J.; Shi, K. Transcriptomic and genetic approaches reveal an essential role of the NAC transcription factor SlNAP1 in the growth and defense response of tomato. Hortic. Res. 2020, 7. [Google Scholar] [CrossRef]
  88. Liu, B.; Ouyang, Z.; Zhang, Y.; Li, X.; Hong, Y.; Huang, L.; Liu, S.; Zhang, H.; Li, D.; Song, F. Tomato NAC transcription factor SlSRN1 positively regulates defense response against biotic stress but negatively regulates abiotic stress response. PLoS ONE 2014, 9, e102067. [Google Scholar] [CrossRef] [PubMed]
  89. Huang, W.; Miao, M.; Kud, J.; Niu, X.; Ouyang, B.; Zhang, J.; Ye, Z.; Kuhl, J.C.; Liu, Y.; Xiao, F. SlNAC1, a stress-related transcription factor, is fine-tuned on both the transcriptional and the post-translational level. New Phytol. 2013, 197, 1214–1224. [Google Scholar] [CrossRef]
  90. Selth, L.A.; Dogra, S.C.; Rasheed, M.S.; Healy, H.; Randles, J.W.; Rezaian, M.A. A NAC domain protein interacts with tomato leaf curl virus replication accessory protein and enhances viral replication. Plant Cell 2005, 17, 311–325. [Google Scholar] [CrossRef] [Green Version]
  91. Upadhyay, P.; Ganie, S.H.; Rai, A.; Singh, M.; Sinha, B. Identification of transcription factors in tomato, potentially related to early blight resistance at invasion in host tissue using, microarray expression profiling. S. Afr. J. Bot. 2016, 106, 165–173. [Google Scholar] [CrossRef]
  92. Yang, H.; Sun, Y.; Wang, H.; Zhao, T.; Xu, X.; Jiang, J.; Li, J. Genome-wide identification and functional analysis of the ERF2 gene family in response to disease resistance against Stemphylium lycopersici in tomato. BMC Plant Biol. 2021, 21, 72. [Google Scholar] [CrossRef] [PubMed]
  93. Buxdorf, K.; Rubinsky, G.; Barda, O.; Burdman, S.; Aharoni, A.; Levy, M. The transcription factor SlSHINE3 modulates defense responses in tomato plants. Plant Mol. Biol. 2014, 84, 37–47. [Google Scholar] [CrossRef] [PubMed]
  94. Shu, P.; Li, Z.; Min, D.; Zhang, X.; Ai, W.; Li, J.; Zhou, J.; Li, Z.; Li, F.; Li, X. CRISPR/Cas9-mediated SlMYC2 mutagenesis adverse to tomato plant growth and MeJA-induced fruit resistance to Botrytis cinerea. J. Agric. Food Chem. 2020, 68, 5529–5538. [Google Scholar] [CrossRef] [PubMed]
  95. Orellana, S.; Yañez, M.; Espinoza, A.; Verdugo, I.; González, E.; Ruiz-Lara, S.; Casaretto, J.A. The transcription factor SlAREB1 confers drought, salt stress tolerance and regulates biotic and abiotic stress-related genes in tomato. Plant Cell Environ. 2010, 33, 2191–2208. [Google Scholar] [CrossRef]
  96. Karkute, S.G.; Gujjar, R.S.; Rai, A.; Akhtar, M.; Singh, M.; Singh, B. Genome wide expression analysis of WRKY genes in tomato (Solanum lycopersicum) under drought stress. Plant Gene 2018, 13, 8–17. [Google Scholar] [CrossRef]
  97. Atamian, H.S.; Eulgem, T.; Kaloshian, I. SlWRKY70 is required for Mi-1-mediated resistance to aphids and nematodes in tomato. Planta 2012, 235, 299–309. [Google Scholar] [CrossRef]
  98. Gao, Y.; Wei, W.; Zhao, X.; Tan, X.; Fan, Z.; Zhang, Y.; Jing, Y.; Meng, L.; Zhu, B.; Zhu, H.; et al. A NAC transcription factor, NOR-like1, is a new positive regulator of tomato fruit ripening. Hortic. Res. 2018, 5, 75. [Google Scholar] [CrossRef] [Green Version]
  99. Zhu, M.; Chen, G.; Zhou, S.; Tu, Y.; Wang, Y.; Dong, T.; Hu, Z. A new tomato NAC (NAM ATAF1/2/CUC2) transcription factor, SlNAC4, functions as a positive regulator of fruit ripening and carotenoid accumulation. Plant Cell Physiol. 2014, 55, 119–135. [Google Scholar] [CrossRef] [Green Version]
  100. Du, M.; Zhai, Q.; Deng, L.; Li, S.; Li, H.; Yan, L.; Huang, Z.; Wang, B.; Jiang, H.; Huang, T.; et al. Closely related NAC transcription factors of tomato differentially regulate stomatal closure and reopening during pathogen attack. Plant Cell 2014, 26, 3167–3184. [Google Scholar] [CrossRef] [Green Version]
  101. Huang, Y.; Zhang, B.; Sun, S.; Xing, G.; Wang, F.; Li, M.; Tian, Y.; Xiong, A. AP2/ERF transcription actors involved in response to tomato yellow leaf curly virus in tomato. Plant Genome 2016, 9, plantgenome2015-09. [Google Scholar] [CrossRef] [PubMed]
  102. Gu, Y.; Wildermuth, M.C.; Chakravarthy, S.; Loh, Y.; Yang, C.; He, X.; Han, Y.; Martin, G.B. Tomato transcription factors Pti4, Pti5, and Pti6 activate defense responses when expressed in Arabidopsis. Plant Cell 2002, 14, 817–831. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Kazan, K.; Manners, J.M. MYC2: The master in action. Mol. Plant 2013, 6, 686–703. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Recognition of a pathogen by the plant and induction of active immune response. Pathogen-associated molecular patterns (PAMPs) are perceived by plant transmembrane pattern recognition receptors (PRRs), which induce signaling cascades and lead to PAMP triggered immunity (PTI). During pathogen attack, pathogens produce effectors molecules (Avr) to increase their pathogenicity into the host cells to suppress PTI and to interfere with hormonal balance. Plants having corresponding resistance (R) genes recognize effectors and activate immune responses (effector-triggered immunity, ETI). After recognition, it is triggered the transcription of the cascade of plant defense mechanisms, and the activation of genes to a robust and quick defense response is induced. ETI response may include altering chromatin configuration that further facilitates access by transcription factors (TFs). Adapted from [10].
Figure 1. Recognition of a pathogen by the plant and induction of active immune response. Pathogen-associated molecular patterns (PAMPs) are perceived by plant transmembrane pattern recognition receptors (PRRs), which induce signaling cascades and lead to PAMP triggered immunity (PTI). During pathogen attack, pathogens produce effectors molecules (Avr) to increase their pathogenicity into the host cells to suppress PTI and to interfere with hormonal balance. Plants having corresponding resistance (R) genes recognize effectors and activate immune responses (effector-triggered immunity, ETI). After recognition, it is triggered the transcription of the cascade of plant defense mechanisms, and the activation of genes to a robust and quick defense response is induced. ETI response may include altering chromatin configuration that further facilitates access by transcription factors (TFs). Adapted from [10].
Biology 11 00235 g001
Figure 2. Tomato transcription factors (TFs) as key components of the regulation of target gene expression in response to biotic stress and their use for engineering pathogen resistance in tomato plants.
Figure 2. Tomato transcription factors (TFs) as key components of the regulation of target gene expression in response to biotic stress and their use for engineering pathogen resistance in tomato plants.
Biology 11 00235 g002
Table 1. Role of transcription factors (TFs) in tomato response to biotic stresses.
Table 1. Role of transcription factors (TFs) in tomato response to biotic stresses.
TF FamilyTF Target GeneEffect MethodRef.
WRKYSlDRW1- Gene expression significantly induced by Botrytis cinerea.
- Silencing increase severity of disease caused by B. cinerea.
VIGS[79]
SpWRKY1- Overexpression increase resistance to Phytophthora infestans.Expression vector[80]
SpWRKY3- Gene expression significantly induced by Phytophthora infestans.
- Silencing impaired the resistance to P. infestans.
- Overexpression increase resistance to P. infestans.
VIGS and expression vector [81]
SlWRKY8, SlWRKY23, SlWRKY39, SlWRKY53, SlWRKY80, SlWRKY81- Up-regulated genes expression in response to Pseudomonas syringae (Pst) pv. tomato DC3000 infection.-[82]
SlWRKY39- Overexpressing increased resistance to P. syringae. Expression vector[83]
SlWRKY72a, SlWRKY72b- Up-regulated during root-knot nematodes (RKN) disease resistance mediated by the R gene Mi-1.
- Silencing resulted in a reduction of Mi-1-mediated resistance and basal defense against RKN.
VIGS[84]
SlWRKY45- Overexpression enhanced tomato susceptibility to RKNExpression vector[85]
SolyWRKY41, SolyWRKY42, SolyWRKY53, SolyWRKY54, SolyWRKY80, SolyWRKY8- Genes responsive to Tomato yellow leaf curly virus (TYLCV) infection.
- Silencing of SolyWRKY41 and SolyWRKY54 decrease accumulation of TYLCV DNA.
VIGS[86]
NACSlNAP1- Overexpressing enhanced defense against Pst DC3000 and Ralstonia solanacearum.Expression vector[87]
SlSRN1- Gene expression induced by infection with B. cinerea and Pst DC3000.
- Silencing increased severity of disease caused by B. cinerea.
VIGS[88]
SlNAC1- Upregulated gene expression during Pst DC3000 infection.-[89]
SlNAC1- Overexpression enhanced the accumulation of Tomato leaf curl virus (TLCV) DNA.Expression vector[90]
AP2/ERFERF-3- Upregulated gene expression to Alternaria solani infection, using a resistant genotype. -[91]
ERF-2- Silencing revealed aggravated diseases symptoms caused by Stemphylium lycopersici.VIGS[92]
SlSHINE3- Silencing revealed higher sensitivity to B. cinerea.
- Overexpression revealed resistance to B. cinerea and to Xanthomonas campestris pv. vesicatoria infection.
Not referred[93]
bHLHbHLH132- Transcriptionally highly induced by Xanthomonas euvesicatoria.
- Silencing enhanced susceptibility to X. euvesicatoria.
Expression vector[71]
MYC2- Knockout aggravated the B. cinerea disease symptoms.CRISPR/Cas9[94]
bZIPSlAREB1- Overexpression up-regulate several defense genes associated with biotic stress. Expression vector[95]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Campos, M.D.; Félix, M.d.R.; Patanita, M.; Materatski, P.; Albuquerque, A.; Ribeiro, J.A.; Varanda, C. Defense Strategies: The Role of Transcription Factors in Tomato–Pathogen Interaction. Biology 2022, 11, 235. https://0-doi-org.brum.beds.ac.uk/10.3390/biology11020235

AMA Style

Campos MD, Félix MdR, Patanita M, Materatski P, Albuquerque A, Ribeiro JA, Varanda C. Defense Strategies: The Role of Transcription Factors in Tomato–Pathogen Interaction. Biology. 2022; 11(2):235. https://0-doi-org.brum.beds.ac.uk/10.3390/biology11020235

Chicago/Turabian Style

Campos, Maria Doroteia, Maria do Rosário Félix, Mariana Patanita, Patrick Materatski, André Albuquerque, Joana A. Ribeiro, and Carla Varanda. 2022. "Defense Strategies: The Role of Transcription Factors in Tomato–Pathogen Interaction" Biology 11, no. 2: 235. https://0-doi-org.brum.beds.ac.uk/10.3390/biology11020235

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop