Regulatory Mechanisms of bHLH Transcription Factors in Plant Adaptive Responses to Various Abiotic Stresses

Basic helix-loop-helix proteins (bHLHs) comprise one of the largest families of transcription factors in plants. They have been shown to be involved in responses to various abiotic stresses, such as drought, salinity, chilling, heavy metal toxicity, iron deficiency, and osmotic damages. By specifically binding to cis-elements in the promoter region of stress related genes, bHLHs can regulate their transcriptional expression, thereby regulating the plant’s adaptive responses. This review focuses on the structural characteristics of bHLHs, the regulatory mechanism of how bHLHs are involved transcriptional activation, and the mechanism of how bHLHs regulate the transcription of target genes under various stresses. Finally, as increasing research demonstrates that flavonoids are usually induced under fluctuating environments, the latest research progress and future research prospects are described on the mechanisms of how flavonoid biosynthesis is regulated by bHLHs in the regulation of the plant’s responses to abiotic stresses

Metabolic and transcriptomic responses of Taxus mairei to nano-pollutants: insights into AgNPs and PsNPs impact

There is a growing global concern regarding the pervasive issue of nano-pollutants. Typical nano-materials, such as polystyrene nanoplastics (PsNPs) and silver nanoparticles (AgNPs), pose significant risks to ecosystems and human health. Taxus mairei is a well-known gymnosperm widely planted in South China and has great medicinal qualities. However, the effects of nano pollutants on the primary and secondary metabolism of Taxus plants have not been sufficiently explored. We investigated the responses of T. mairei to different nano-pollutants via physiological, transcriptomic, and metabolomic analyses. AgNPs and PsNPs significantly affected several secondary and energy metabolism-related pathways, respectively. In T. mairei, AgNPs greatly impacted flavonoid metabolism by regulating the expression of the CHI gene, while PsNPs significantly impacted energy metabolism by regulating the expression of FRK genes. Furthermore, a transcriptional regulation network, including GATA (ctg10916_gene.2), bHLH (ctg495_gene.7), MYB (ctg18368_gene.1), and NAC (ctg8193_gene.1), was predicted to be associated with the responses of T. mairei to nano-pollutants. The present study elucidated a regulatory mechanism underlying the responses of T. mairei to nano-pollutants, which has the potential to aid in the breeding of Taxus species with high environmental adaptability

Analysis of EF-Hand Proteins in Soybean Genome Suggests Their Potential Roles in Environmental and Nutritional Stress Signaling

Calcium ion (Ca2+) is a universal second messenger that plays a critical role in plant responses to diverse physiological and environmental stimuli. The stimulus-specific signals are perceived and decoded by a series of Ca2+ binding proteins serving as Ca2+ sensors. The majority of Ca2+ sensors possess the EF-hand motif, a helix-loop-helix structure which forms a turn-loop structure. Although EF-hand proteins in model plant such as Arabidopsis have been well described, the identification, classification, and the physiological functions of EF-hand-containing proteins from soybean are not systemically reported. In this study, a total of at least 262 genes possibly encoding proteins containing one to six EF-hand motifs were identified in soybean genome. These genes include 6 calmodulins (CaMs), 144 calmodulin-like proteins (CMLs), 15 calcineurin B-like proteins, 50 calcium-dependent protein kinases (CDPKs), 13 CDPK-related protein kinases, 2 Ca2+- and CaM-dependent protein kinases, 17 respiratory burst oxidase homologs, and 15 unclassified EF-hand proteins. Most of these genes (87.8%) contain at least one kind of hormonal signaling- and/or stress response-related cis-elements in their -1500 bp promoter regions. Expression analyses by exploring the published microarray and Illumina transcriptome sequencing data revealed that the expression of these EF-hand genes were widely detected in different organs of soybean, and nearly half of the total EF-hand genes were responsive to various environmental or nutritional stresses. Quantitative RT-PCR was used to confirm their responsiveness to several stress treatments. To confirm the Ca2+-binding ability of these EF-hand proteins, four CMLs (CML1, CML13, CML39, and CML95) were randomly selected for SDS–PAGE mobility-shift assay in the presence and absence of Ca2+. Results showed that all of them have the ability to bind Ca2+. This study provided the first comprehensive analyses of genes encoding for EF-hand proteins in soybean. Information on the classification, phylogenetic relationships and expression profiles of soybean EF-hand genes in different tissues and under various environmental and nutritional stresses will be helpful for identifying candidates with potential roles in Ca2+ signal-mediated physiological processes including growth and development, plant-microbe interactions and responses to biotic and abiotic stresses

Early Transcriptomic Response to Phosphate Deprivation in Soybean Leaves as Revealed by RNA-Sequencing

Low phosphate (Pi) availability is an important limiting factor affecting soybean production. However, the underlying molecular mechanisms responsible for low Pi stress response and tolerance remain largely unknown, especially for the early signaling events under low Pi stress. Here, a genome-wide transcriptomic analysis in soybean leaves treated with a short-term Pi-deprivation (24 h) was performed through high-throughput RNA sequencing (RNA-seq) technology. A total of 533 loci were found to be differentially expressed in response to Pi deprivation, including 36 mis-annotated loci and 32 novel loci. Among the differentially expressed genes (DEGs), 303 were induced and 230 were repressed by Pi deprivation. To validate the reliability of the RNA-seq data, 18 DEGs were randomly selected and analyzed by quantitative RT-PCR (reverse transcription polymerase chain reaction), which exhibited similar fold changes with RNA-seq. Enrichment analyses showed that 29 GO (Gene Ontology) terms and 8 KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways were significantly enriched in the up-regulated DEGs and 25 GO terms and 16 KEGG pathways were significantly enriched in the down-regulated DEGs. Some DEGs potentially involved in Pi sensing and signaling were up-regulated by short-term Pi deprivation, including five SPX-containing genes. Some DEGs possibly associated with water and nutrient uptake, hormonal and calcium signaling, protein phosphorylation and dephosphorylation and cell wall modification were affected at the early stage of Pi deprivation. The cis-elements of PHO (phosphatase) element, PHO-like element and P responsive element were present more frequently in promoter regions of up-regulated DEGs compared to that of randomly-selected genes in the soybean genome. Our transcriptomic data showed an intricate network containing transporters, transcription factors, kinases and phosphatases, hormone and calcium signaling components is involved in plant responses to early Pi deprivation

Regulatory Mechanisms of bHLH Transcription Factors in Plant Adaptive Responses to Various Abiotic Stresses

Basic helix-loop-helix proteins (bHLHs) comprise one of the largest families of transcription factors in plants. They have been shown to be involved in responses to various abiotic stresses, such as drought, salinity, chilling, heavy metal toxicity, iron deficiency, and osmotic damages. By specifically binding to cis-elements in the promoter region of stress related genes, bHLHs can regulate their transcriptional expression, thereby regulating the plant’s adaptive responses. This review focuses on the structural characteristics of bHLHs, the regulatory mechanism of how bHLHs are involved transcriptional activation, and the mechanism of how bHLHs regulate the transcription of target genes under various stresses. Finally, as increasing research demonstrates that flavonoids are usually induced under fluctuating environments, the latest research progress and future research prospects are described on the mechanisms of how flavonoid biosynthesis is regulated by bHLHs in the regulation of the plant’s responses to abiotic stresses.</jats:p

Schematic diagram of back propagation artificial neural networks used for fitting the regression functions of bermudagrass germination response to diurnal fluctuations of temperature.

<p>Schematic diagram of back propagation artificial neural networks used for fitting the regression functions of bermudagrass germination response to diurnal fluctuations of temperature.</p