Regulatory Mechanisms In Plants Research Articles

Characteristics of Rapeseed (Brassica rapa L.) genome DREB family demonstrate their roles in stress

Dehydration-responsive element-binding (DREB) proteins are crucial transcription factors in plant regulatory mechanisms, playing a key role in responding to environmental stresses. Dehydration-responsive element-binding (DREB) proteins are crucial transcription factors in plant regulatory mechanisms, playing a key role in responding to environmental stresses. This study employs bioinformatics research methods to identify and characterize the DREB gene family in rapeseed (Brassica rapa L.) under abiotic stress conditions. The approach facilitates a detailed exploration of the genomic architecture and potential regulatory mechanisms that these genes may exhibit in response to environmental stresses. A whole-genome survey identified 75 DREB genes in rapeseed, which were classified into six subgroups (Ⅰ-Ⅵ) based on phylogenetic comparison with Arabidopsis homologs. The amino acid lengths of these genes ranged from 144 to 530, with predicted molecular weights between 15.63 kDa and 60.36 kDa, and isoelectric points from 4.48 to 9.32. Chromosomal localization revealed that these genes are distributed across 10 chromosomes, predominantly near telomeric regions, with more than 10 DREB genes located on Chr3 and Chr9 respectively. Structural domain analysis indicated that 57 DREB genes possess a single exon. Promoter cis-element analyses suggested that BrDREB genes could respond to diverse stressors, including drought, heat, hormones, and light. Transcriptomic analysis under cold stress revealed significant upregulation of BrDREB17, 24, 49, 50, and 51 in response to low temperature, while five BrDREB genes were not expressed. Specifically, BrDREB17, 24, 49, 50, and 51 showed high expression levels at 3 h of cold stress, whereas BrDREB30, 42, and 67 were highly expressed at 24 h of cold stress. Gene Ontology (GO) analysis demonstrated that the majority of biological processes mediated by BrDREB are associated with plant stress resistance. Protein interaction network analysis revealed that BrDREB9 and BrDREB26 interact with 15 proteins each, underscoring their significant biological roles within the DREB family in rapeseed. These findings provide a theoretical framework for further examination of the physiological and biochemical properties of the DREB gene family components in rapeseed. Our results may help to screen candidate genes for cold resistance in rapeseed and select rapeseed varieties better suited to the Tibetan locality to improve quality and yield in agricultural production.

Response mechanism of Cynodon dactylon to flooding stress based on integrating metabonomics and transcriptomics analysis

Cynodon dactylon, a perennial herbaceous of Poaceae, possessing unique abilities in flooding tolerance and clonal propagation. However, evidences on molecular response mechanism from field are missing. Here, the differential responses of above-ground (stolon) and below-ground (root) organs of C. dactylon under flooding and non-flooding (CK) conditions were compared at the transcriptional and metabolomic levels. Under flooding stress, significant enrichment of differentially expressed genes (DEGs) related to dehydration responses, including cell water homeostasis and ion transmembrane transport were observed in both roots and stolons. The stolons were more sensitive to flooding, while enrichment in energy metabolism in roots were higher, such as the glycolytic process and glycogen biosynthetic process. The DEGs of photosynthesis in stolons were significantly down-regulated compared to roots. Under flooding stress, oxidative phosphorylation (OXPHOS) is inactivated, and the terminal oxidase of the mitochondrial electron transport chain (mtETC), cytochrome c oxidase (COX), is inhibited. Consequently, the expression of pyruvate decarboxylase (PDC) and alcohol dehydrogenase (ADH) involved in fermentative metabolism is upregulated. The combined analysis indicated that phenylalanine, tyrosine, and tryptophan biosynthetic pathways in roots were significantly enriched in the flooding group. In contrast, there was a significant increase in phenylalanine biosynthesis in stolons, and the metabolite phenol exhibited up-regulated expression. In summary, phenylalanine metabolism and phenylalanine biosynthesis are the major responses to flooding stress, indicating the crucial role of these pathways in the flood tolerance of C. dactylon. These findings provide valuable evidence for understanding plant regulatory mechanisms underlying flooding tolerance.

Auxin-mediated regulation of susceptibility to toxic metabolites, c-di-GMP levels, and phage infection in the rhizobacterium Serratia plymuthica.

Signal sensing plays an important role in bacterial adaptation to ecological niches and hosts. This communication appears to be particularly important in plant-associated bacteria since they possess a large number of signal transduction systems that respond to a wide diversity of chemical, physical, and biological stimuli. IAA is emerging as a key inter- and intra-kingdom signal molecule that regulates a variety of bacterial processes. However, despite the extensive knowledge of the IAA-mediated regulatory mechanisms in plants, IAA signaling in bacteria remains largely unknown. Here, we provide insight into the diversity of mechanisms by which IAA regulates primary and secondary metabolism, biofilm formation, motility, antibiotic susceptibility, and phage sensitivity in a biocontrol rhizobacterium. This work has important implications for our understanding of bacterial ecology in plant environments and for the biotechnological and clinical applications of IAA, as well as related molecules.

Integrated analyses of ionomics, phytohormone profiles, transcriptomics, and metabolomics reveal a pivotal role of carbon-nano sol in promoting the growth of tobacco plants

BackgroundCarbon nano sol (CNS) can markedly affect the plant growth and development. However, few systematic analyses have been conducted on the underlying regulatory mechanisms in plants, including tobacco (Nicotiana tabacum L.).ResultsIntegrated analyses of phenome, ionome, transcriptome, and metabolome were performed in this study to elucidate the physiological and molecular mechanisms underlying the CNS-promoting growth of tobacco plants. We found that 0.3% CNS, facilitating the shoot and root growth of tobacco plants, significantly increased shoot potassium concentrations. Antioxidant, metabolite, and phytohormone profiles showed that 0.3% CNS obviously reduced reactive oxygen species production and increased antioxidant enzyme activity and auxin accumulation. Comparative transcriptomics revealed that the GO and KEGG terms involving responses to oxidative stress, DNA binding, and photosynthesis were highly enriched in response to exogenous CNS application. Differential expression profiling showed that NtNPF7.3/NtNRT1.5, potentially involved in potassium/auxin transport, was significantly upregulated under the 0.3% CNS treatment. High-resolution metabolic fingerprints showed that 141 and 163 metabolites, some of which were proposed as growth regulators, were differentially accumulated in the roots and shoots under the 0.3% CNS treatment, respectively.ConclusionsTaken together, this study revealed the physiological and molecular mechanism underlying CNS-mediated growth promotion in tobacco plants, and these findings provide potential support for improving plant growth through the use of CNS.

Improving plant miRNA-target prediction with self-supervised k-mer embedding and spectral graph convolutional neural network.

Deciphering the targets of microRNAs (miRNAs) in plants is crucial for comprehending their function and the variation in phenotype that they cause. As the highly cell-specific nature of miRNA regulation, recent computational approaches usually utilize expression data to identify the most physiologically relevant targets. Although these methods are effective, they typically require a large sample size and high-depth sequencing to detect potential miRNA-target pairs, thereby limiting their applicability in improving plant breeding. In this study, we propose a novel miRNA-target prediction framework named kmerPMTF (k-mer-based prediction framework for plant miRNA-target). Our framework effectively extracts the latent semantic embeddings of sequences by utilizing k-mer splitting and a deep self-supervised neural network. We construct multiple similarity networks based on k-mer embeddings and employ graph convolutional networks to derive deep representations of miRNAs and targets and calculate the probabilities of potential associations. We evaluated the performance of kmerPMTF on four typical plant datasets: Arabidopsis thaliana, Oryza sativa, Solanum lycopersicum, and Prunus persica. The results demonstrate its ability to achieve AUPRC values of 84.9%, 91.0%, 80.1%, and 82.1% in 5-fold cross-validation, respectively. Compared with several state-of-the-art existing methods, our framework achieves better performance on threshold-independent evaluation metrics. Overall, our study provides an efficient and simplified methodology for identifying plant miRNA-target associations, which will contribute to a deeper comprehension of miRNA regulatory mechanisms in plants.

Deciphering the Complexity of Terpenoid Biosynthesis and Its Multi-level Regulatory Mechanism in Plants

Deciphering the Complexity of Terpenoid Biosynthesis and Its Multi-level Regulatory Mechanism in Plants

Calcium signaling: Unveiling its role in disease control in plants

<p>Calcium signaling is a fundamental regulatory mechanism in plants, governing a myriad of physiological processes crucial for growth, development, and responses to environmental stimuli, including biotic stresses such as pathogen attack. Over the past decades, research into the intricate network of calcium signaling pathways has revealed its pivotal role in orchestrating plant defense mechanisms against a diverse array of pathogens. This review comprehensively examines the multifaceted roles of calcium ions in modulating plant immune responses, elucidating the molecular mechanisms underlying calcium-mediated signal transduction and its integration with other defense signaling pathways. We delve into the intricate crosstalk between calcium signaling and various hormonal pathways, reactive oxygen species (ROS) signaling, and secondary metabolite biosynthesis, highlighting the interconnectedness of these regulatory networks in shaping plant defense strategies. Furthermore, we explore the potential applications of calcium-based strategies for sustainable disease management in agriculture, including the use of calcium channel blockers, calcium chelators, and calcium-rich compounds as novel antimicrobial agents and priming agents for enhancing plant immunity. Challenges and future directions in the field are also discussed, aiming to advance our understanding of calcium signaling in plant-pathogen interactions and harness its potential for developing innovative approaches to combat plant diseases and ensure global food security. This review provides a comprehensive overview of the current state of knowledge regarding calcium signaling in plant disease control, offering valuable insights and perspectives for future research endeavors in this rapidly evolving field.<strong></strong></p>

SAD2 functions in plant pathogen Pseudomonas syringae pv tomato DC3000 defense by regulating the nuclear accumulation of MYB30 in Arabidopsis thaliana

Accurate nucleocytoplasmic transport of signal molecules is essential for plant growth and development. Multiple studies have confirmed that nucleocytoplasmic transport and receptors are involved in regulating plant disease resistance responses, however, little is known about the regulatory mechanism in plants. In this study, we showed that the mutant of the importin beta-like protein SAD2 exhibited a more susceptible phenotype than wild-type Col-0 after treatment with Pseudomonas syringae pv tomato DC3000 (Pst DC3000). Coimmunoprecipitation (Co-IP) and bimolecular fluorescence complementation (BiFC) experiments demonstrated that SAD2 interacts with the hypersensitive response (HR)-positive transcriptional regulator MYB30. Subcellular localization showed that MYB30 was not fully localized in the nucleus in sad2–5 mutants, and western-blot experiments further indicated that SAD2 was required for MYB30 nuclear trafficking during the pathogen infection process. A phenotypic test of pathogen inoculation demonstrated that MYB30 partially rescued the disease symptoms of sad2–5 caused by Pst DC3000, and that MYB30 worked downstream of SAD2 in plant pathogen defense. These results suggested that SAD2 might be involved in plant pathogen defense by mediating MYB30 nuclear trafficking. Taken together, our results revealed the important function of SAD2 in plant pathogen defense and enriched understanding of the mechanism of nucleocytoplasmic transport-mediated plant pathogen defense.

Target mimicry: The interplay of LncRNAs and MiRNAs in the complex network of abiotic stress responses in Oryza sativa

Initially dismissed as ‘junk DNA’, genomic progress highlights the essential role of non-coding regulatory RNAs (ncRNAs) in gene expression. Long non-coding RNA (lncRNAs) and microRNA (miRNAs) play a vital role in regulating diverse plant biological processes. Despite extensive identification and characterization through bioinformatics and RNA-seq, only a limited subset of lncRNAs has been functionally studied. In this particular research, a total of twenty-six drought induced lncRNAs were selected from RNA-seq dataset of Oryza sativa for in depth analysis including in silico promoter analysis and the examination of their expression patterns under abiotic stress conditions, with the aim of unravelling their intricate regulatory mechanisms. Promoter analysis revealed their responsiveness to both ABA-independent and dependent pathways, indicating potential roles in pathway-regulated responses. Notably, three lncRNAs- OsDlnc12, OsDlnc22, and OsDlnc24 found to act as ceRNA (competing endogenous RNAs) for Osa-miR169 family members, Osa-miR2864.2, and Osa-miR1437b-3p respectively. Subsequent target prediction revealed that Osa-miR169 family members target OsNF-YA3, OsNF-YA7, and HAP2, Osa-miR2864.2 targets OsERD-15, and Osa-miR1437b-3p targets OsCYP450, OsAQP, and OsPRX precursor genes. Furthermore, qRT-PCR was employed to investigate the expression patterns and target mimicry mechanisms of selected lncRNAs under various abiotic stresses, revealing temporally regulated expressions. This finding provides insights into plant regulatory mechanisms under environmental stress, emphasizing the potential importance of lncRNAs in these processes.

ARGONAUTE1-binding Tudor domain proteins function in small interfering RNA production for RNA-directed DNA methylation.

Transposable elements (TEs) contribute to plant evolution, development, and adaptation to environmental changes, but the regulatory mechanisms are largely unknown. RNA-directed DNA methylation (RdDM) is 1 TE regulatory mechanism in plants. Here, we identified that novel ARGONAUTE 1 (AGO1)-binding Tudor domain proteins Precocious dissociation of sisters C/E (PDS5C/E) are involved in 24-nt siRNA production to establish RdDM on TEs in Arabidopsis thaliana. PDS5 family proteins are subunits of the eukaryote-conserved cohesin complex. However, the double mutant lacking angiosperm-specific subfamily PDS5C and PDS5E (pds5c/e) exhibited different developmental phenotypes and transcriptome compared with those of the double mutant lacking eukaryote-conserved subfamily PDS5A and PDS5B (pds5a/b), suggesting that the angiosperm-specific PDS5C/E subfamily has a unique function in angiosperm plants. Proteome and imaging analyses revealed that PDS5C/E interact with AGO1. The pds5c/e double mutant had defects in 24-nt siRNA accumulation and CHH DNA methylation on TEs. In addition, some lncRNAs that accumulated in the pds5c/e mutant were targeted by AGO1-loading 21-nt miRNAs and 21-nt siRNAs. These results indicate that PDS5C/E and AGO1 participate in 24-nt siRNA production for RdDM in the cytoplasm. These findings indicate that angiosperm plants evolved a new regulator, the PDS5C/E subfamily, to control the increase in TEs during angiosperm evolution.

CsBPC2 is essential for cucumber survival under cold stress

Cold stress affects the growth and development of cucumbers. Whether the BPC2 transcription factor participates in cold tolerance and its regulatory mechanism in plants have not been reported. Here, we used wild-type (WT) cucumber seedlings and two mutant Csbpc2 lines as materials. The underlying mechanisms were studied by determining the phenotype, physiological and biochemical indicators, and transcriptome after cold stress. The results showed that CsBPC2 knockout reduced cucumber cold tolerance by increasing the chilling injury index, relative electrical conductivity and malondialdehyde (MDA) content and decreasing antioxidant enzyme activity. We then conducted RNA sequencing (RNA-seq) to explore transcript-level changes in Csbpc2 mutants. A large number of differentially expressed genes (1032) were identified and found to be unique in Csbpc2 mutants. However, only 489 down-regulated genes related to the synthesis and transport of amino acids and vitamins were found to be enriched through GO analysis. Moreover, both RNA-seq and qPT-PCR techniques revealed that CsBPC2 knockout also decreased the expression of some key cold-responsive genes, such as CsICE1, CsCOR413IM2, CsBZR1 and CsBZR2. These results strongly suggested that CsBPC2 knockout not only affected cold function genes but also decreased the levels of some key metabolites under cold stress. In conclusion, this study reveals for the first time that CsBPC2 is essential for cold tolerance in cucumber and provides a reference for research on the biological function of BPC2 in other plants.

Some Type III effectors of Ralstonia solanacearum may suppress host RNA silencing for function

Ralstonia solanacearum is a devastating bacterial pathogen responsible for bacterial wilt in various crops. It employs the Type III Secretion System (T3SS) to deliver effectors known as R. solanacearum injected proteins (Rips) into host plant cells. These Rips play a critical role in the pathogenicity of the bacterium, yet their mechanisms of action remain incompletely understood. In this study, we screened 13 Rips from R. solanacearum strain FJ1003 and discovered that RipAW and RipAU possess the ability to suppress RNA silencing, an essential gene regulatory mechanism in plants. Moreover, we demonstrated heightened susceptibility to R. solanacearum and potato virus X in transgenic Nicotiana benthamiana overexpressing RipAW. Silencing of Dicer-like 1 (DCL1) or RNA-dependent RNA polymerase 6 (RDR6) promoted the infection of R. solanacearum in N. benthamiana. Arabidopsis with defects in Argonaute 1 (AGO1), DCL1 or RDR6 also showed increased susceptibility to R. solanacearum compared to wildtype Arabidopsis. These findings collectively suggest a scenario in which certain Rips interfere with host plant RNA silencing, and RNA silencing suppression may be one of the mechanisms employed by Rips to promote virulence.

Unearth of small open reading frames (sORFs) in drought stress transcriptome of Oryza sativa subsp. indica

Drought is a major abiotic stress that influences rice production. Although the transcriptomic data of rice against drought is widely available, the regulation of small open reading frames (sORFs) in response to drought stress in rice is yet to be investigated. Different levels of drought stress have different regulatory mechanisms in plants. In this study, drought stress was imposed on four-leaf stage rice, divided into two treatments, 40% and 30% soil moisture content (SMC). The RNAs of the samples were extracted, followed by the RNA sequencing analysis on their sORF expression changes under 40%_SMC and 30%_SMC, and lastly, the expression was validated through NanoString. A total of 122 and 143 sORFs were differentially expressed (DE) in 40%_SMC and 30%_SMC, respectively. In 40%_SMC, 69 sORFs out of 696 (9%) DEGs were found to be upregulated. On the other hand, 69 sORFs out of 449 DEGs (11%) were significantly downregulated. The trend seemed to be higher in 30%_SMC, where 112 (12%) sORFs were found to be upregulated from 928 significantly upregulated DEGs. However, only 8% (31 sORFs out of 385 DEGs) sORFs were downregulated in 30%_SMC. Among the identified sORFs, 110 sORFs with high similarity to rice proteome in the PsORF database were detected in 40%_SMC, while 126 were detected in 30%_SMC. The Gene Ontology (GO) enrichment analysis of DE sORFs revealed their involvement in defense-related biological processes, such as defense response, response to biotic stimulus, and cellular homeostasis, whereas enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways indicated that DE sORFs were associated with tryptophan and phenylalanine metabolisms. Several DE sORFs were identified, including the top five sORFs (OsisORF_3394, OsisORF_0050, OsisORF_3007, OsisORF_6407, and OsisORF_7805), which have yet to be characterised. Since these sORFs were responsive to drought stress, they might hold significant potential as targets for future climate-resilient rice development.

Plant microbiota controls an alternative root branching regulatory mechanism in plants

The establishment of beneficial interactions with microbes has helped plants to modulate root branching plasticity in response to environmental cues. However, how the plant microbiota harmonizes with plant roots to control their branching is unknown. Here, we show that the plant microbiota influences root branching in the model plant Arabidopsis thaliana. We define that the microbiota's ability to control some stages in root branching can be independent of the phytohormone auxin that directs lateral root development under axenic conditions. In addition, we revealed a microbiota-driven mechanism controlling lateral root development that requires the induction of ethylene response pathways. We show that the microbial effects on root branching can be relevant for plant responses to environmental stresses. Thus, we discovered a microbiota-driven regulatory pathway controlling root branching plasticity that could contribute to plant adaptation to different ecosystems.

Identification of CNGCs in Glycine max and Screening of Related Resistance Genes after Fusarium solani Infection.

Cyclic nucleotide-gated channels (CNGCs), non-selective cation channels localised on the plasmalemma, are involved in growth, development, and regulatory mechanisms in plants during adverse stress. To date, CNGC gene families in multiple crops have been identified and analysed. However, there have been no systematic studies on the evolution and development of CNGC gene families in legumes. Therefore, in the present study, via transcriptome analysis, we identified 143 CNGC genes in legumes, and thereafter, classified and named them according to the grouping method used for Arabidopsis thaliana. Functional verification for disease stress showed that four GmCNGCs were specifically expressed in the plasmalemma during the stress process. Further, functional enrichment analysis showed that their mode of participation and coordination included inorganic ion concentration regulation inside and outside the membrane via the transmembrane ion channel and participation in stress regulation via signal transduction. The CNGC family genes in G. max involved in disease stress were also identified and physiological stress response and omics analyses were also performed. Our preliminary results revealed the basic laws governing the involvement of CNGCs in disease resistance in G. max, providing important gene resources and a theoretical reference for the breeding of resistant soybean.

A comprehensive overview of miRNA targeting drought stress resistance in plants.

MicroRNAs (miRNAs) are essential nonprotein-coding genes. In a range of organisms, miRNAs has been reported to play an essential role in regulating gene expressions at post-transcriptional level. They participate in most of the stress responsive processes in plants. Drought is an ultimate abiotic stress that affects the crop production. Therefore understanding drought stress responses are essential to improve the production of agricultural crops. Throughout evolution, plants have developed their own defense systems to cope with the adversities of environmental stresses. Among defensive mechanisms include the regulations of gene expression by miRNAs. Drought stress regulates the expression of some of the functionally conserved miRNAs in different plants. The given properties of miRNAs provide an insight to genetic alterations and enhancing drought resistance in cereal crops. The current review gives a summary to regulatory mechanisms in plants as well as miRNAs response to drought stresses in cereal crops. Some possible approaches and guidelines for the exploitation of drought stress miRNA responses to improve cereal crops are also described.

Tubby-like proteins (TLPs) transcription factor in different regulatory mechanism in plants: a review.

Tubby-like proteins (TLPs) transcription factors are found in single-celled to multi-cellular eukaryotes in the form of large multigene families. TLPs are identified through a specific signature of carboxyl terminal tubby domain, required for plasma membrane tethering and amino terminal F-box domain communicate as functional SCF-type E3 ligases. The comprehensive distribution of TLP gene family members in diverse species indicates some conserved functions of TLPs in multicellular organisms. Plant TLPs have higher gene members than animals and these members reported important role in multiple physiological and developmental processes and various environmental stress responses. Although the TLPs are suggested to be a putative transcription factors but their functional mechanism is not much clear. This review provides significant recent updates on TLP-mediated regulation with an insight into its functional roles, origin and evolution and also phytohormones related regulation to combat with various stresses and its involvement in adaptive stress response in crop plants.

PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites.

Identification of transcription factor binding sites (TFBSs) is essential to understanding of gene regulation. Designing computational models for accurate prediction of TFBSs is crucial because it is not feasible to experimentally assay all transcription factors (TFs) in all sequenced eukaryotic genomes. Although many methods have been proposed for the identification of TFBSs in humans, methods designed for plants are comparatively underdeveloped. Here, we present PlantBind, a method for integrated prediction and interpretation of TFBSs based on DNA sequences and DNA shape profiles. Built on an attention-based multi-label deep learning framework, PlantBind not only simultaneously predicts the potential binding sites of 315 TFs, but also identifies the motifs bound by transcription factors. During the training process, this model revealed a strong similarity among TF family members with respect to target binding sequences. Trans-species prediction performance using four Zea mays TFs demonstrated the suitability of this model for transfer learning. Overall, this study provides an effective solution for identifying plant TFBSs, which will promote greater understanding of transcriptional regulatory mechanisms in plants.

Plant-DTI: Extending the landscape of TF protein and DNA interaction in plants by a machine learning-based approach.

As a sessile organism, plants hold elaborate transcriptional regulatory systems that allow them to adapt to variable surrounding environments. Current understanding of plant regulatory mechanisms is greatly constrained by limited knowledge of transcription factor (TF)–DNA interactions. To mitigate this problem, a Plant-DTI predictor (Plant DBD-TFBS Interaction) was developed here as the first machine-learning model that covered the largest experimental datasets of 30 plant TF families, including 7 plant-specific DNA binding domain (DBD) types, and their transcription factor binding sites (TFBSs). Plant-DTI introduced a novel TFBS feature construction, called TFBS base-preference, which enhanced the specificity of TFBS to DBD types. The proposed model showed better predictive performance with the TFBS base-preference than the simple binary representation. Plant-DTI was validated with 22 independent ChIP-seq datasets. It accurately predicted the measured DBD-TFBS pairs along with their TFBS motifs, and effectively predicted interactions of other TFs containing similar DBD types. Comparing to the existing state-of-art methods, Plant-DTI prediction showed a figure of merit in sensitivity and specificity with respect to the position weight matrix (PWM) and TSPTFBS methods. Finally, the proposed Plant-DTI model helped to fill the knowledge gap in the regulatory mechanisms of the cassava sucrose synthase 1 gene (MeSUS1). Plant-DTI predicted MeERF72 as a regulator of MeSUS1 in consistence with the yeast one-hybrid (Y1H) experiment. Taken together, Plant-DTI would help facilitate the prediction of TF-TFBS and TF-target gene (TG) interactions, thereby accelerating the study of transcriptional regulatory systems in plant species.

Genetic Control of Seed Phytate Accumulation and the Development of Low-Phytate Crops: A Review and Perspective

Breeding low phytic acid (lpa) crops is a strategy that has potential to both improve the nutritional quality of food and feed and contribute to the sustainability of agriculture. Here, we review the lipid-independent and -dependent pathways of phytate synthesis and their regulatory mechanisms in plants. We compare the genetic variation of the phytate concentration and distribution in seeds between dicot and monocot species as well as the associated temporal and spatial expression patterns of the genes involved in phytate synthesis and transport. Quantitative trait loci or significant single nucleotide polymorphisms for the seed phytate concentration have been identified in different plant species by linkage and association mapping, and some genes have been cloned from lpa mutants. We summarize the effects of various lpa mutations on important agronomic traits in crop plants and propose SULTR3;3 and SULTR3;4 as optimal target genes for lpa crop breeding.