Wiley

Plant, Cell & Environment

Published by Wiley

Online ISSN: 1365-3040

·

Print ISSN: 0140-7791

Journal websiteAuthor guidelines

Top-read articles

216 reads in the past 30 days

Towards a Mechanistic Understanding of Legume Functioning in Natural Restoration of Degraded Ecosystem: Legume-Specific Impacts on Nitrogen Transformation Processes

April 2025

·

947 Reads

Lijun Liu

·

·

Yunxing Wan

·

[...]

·

Legumes have important functions in degraded ecosystems as they can mediate atmospheric nitrogen (N) inputs and increase soil N availability. However, it remains unclear whether legumes affect N availability only through biological N fixation or stimulating microbial N transformations. In this study, nine native legumes and four non‐legumes were collected following a 9‐year natural vegetation restoration experiment in a karst rocky desertification area. Leaf N/phosphorus (P) ratios and various soil N pool compositions were analyzed and gross N transformation rates were determined by ¹⁵ N tracing techniques. Legumes exhibited higher leaf δ ¹⁵ N values and increased contents of total N, microbial biomass N and inorganic N compared to non‒legumes. Legume leaf N content and N/P ratio (26.7 g kg ‒1 and 20.7) significantly exceeded those of non‒legumes (14.2 g kg ‒1 and 14.5). Our results indicate that legumes increased soil N availability and decreased plant N limitation after 9 years of natural vegetation succession, with effects varying between species and related to soil N transformation processes. Species with low plant N limitation exhibited high rates of organic N mineralization ( M Norg ) and ammonium oxidation to nitrate ( O NH4 ), both of which increase inorganic N supply (especially nitrate). This effect was more pronounced in rhizosphere than bulk soil. M Norg and O NH4 rates were positively correlated ( p < 0.01) with soil organic carbon, total N, water holding capacity, calcium content and microbial biomass as well as with leaf N:P ratios, indicating legumes improve soil quality and inorganic N supply, thereby alleviating plant N limitation. Our results highlight the importance of legumes in soil N cycling and availability, which is often a limiting factor for natural restoration of degraded ecosystems.

Download

212 reads in the past 30 days

Frequency distributions of (A) xylem conduit diameters d and (B) thickness‐to‐span ratios (t/b)² for different organs along the hydraulic path. Data were combined from all individuals (N = 27) and species (N = 5). Vertical lines represent mean values of each distribution. Red letters indicate significant differences between mean values for different organs (Tukey's HSD test with Šidák adjustment for multiple pairwise comparisons). Both xylem conduit diameters and thickness‐to‐span ratios were log10‐transformed to meet ANOVA assumptions and aid visualization. [Color figure can be viewed at wileyonlinelibrary.com]
Scaling of xylem conduit diameters along the hydraulic path length and with external stem and root diameter. (A) Relationship between conduit diameter and distance from leaf tip (α = 0.23, 95% confidence interval (CI) = 0.23–0.23, p = 2.22 × 10⁻¹⁶, r² = 0.27). (B) Relationship between conduit diameter and external stem diameter (β = 0.32, 95% CI = 0.32–0.32, p = 2.22 × 10⁻¹⁶, r² = 0.47). (C) Relationship between conduit diameter and external root diameter (β = 0.42, 95% CI = 0.42–0.42, p = 2.22 × 10⁻¹⁶, r² = 0.19). [Color figure can be viewed at wileyonlinelibrary.com]
Thickness‐to‐span ratios of xylem conduits and the critical conduit collapse limit along the hydraulic path for five conifers. The critical collapse limit (dashed black line) is a numerical solution of the model for xylem conduit wall collapse in response to vertical sap tension gradients (Equations. 1‐2, 5, 7‐11), calculated in 100 µm increments along the hydraulic path of each tree. The x‐axis represents the relative position along the hydraulic path, with 0% corresponding to the leaf tip and 100% corresponding to the base of the tree. The thickness‐to‐span ratios of nearly all conduits (99.96%) exceeded the critical limit, while the safety factor of 99.60% of conduits was greater than 2, indicating that xylem walls are generally overbuilt relative to the critical collapse limit. These findings underscore the importance of resistance to collapse as a key constraint on xylem conduit morphology. [Color figure can be viewed at wileyonlinelibrary.com]
Hydraulics and Structural Mechanics Jointly Shape Root‐to‐Leaf Scaling of Xylem Conduit Traits

June 2025

·

230 Reads

Aims and scope


Plant, Cell & Environment is an ecology journal providing researchers with novel insights into the ways that plants respond to their environment. We publish only the highest quality articles and original research, either theoretical or experimental. To understand how plants respond to their environment our journal considers a broad range of biological, physiological, and ecological factors. Work at any scale, from the molecular to the community level, is welcomed.

Recent articles


Flowchart of GWAS (genome‐wide association study). The normal distribution plot and Manhattan plot included in this figure are cited from (Yan et al. 2023). [Color figure can be viewed at wileyonlinelibrary.com]
Phenotypic characteristics and key nitrogen/potassium‐responsive genes in rice (Oryza sativa) under low nitrogen (LN) and low potassium (LK) stress. (a) Phenotypic adaptations include chlorophyll maintenance divergence, nitrogen‐dependent tiller number variation, Na⁺‐mediated K⁺ compensation under LK, dynamic tiller bud development, and glucose‐gibberellin metabolic regulation, assessed by SPAD chlorophyll values, tiller number (TRN), nitrogen/potassium use efficiency (NUE/KUE), and Na⁺/K⁺ ratio. (b) Key genes identified through GWAS: OsNIGT1 (nitrate uptake under LN), OsTCP19 (tiller suppression via DLT promoter inhibition), OsHKT2;1/2;4 (Na⁺/K⁺ cotransport for ion homeostasis), OsTn1a/OsCCC1 (K⁺ homeostasis and tiller development), and OsSTP28 (glucose‐OSH15‐GA2oxs signaling modulating TRN/KUE). [Color figure can be viewed at wileyonlinelibrary.com]
Phenotypic characteristics and key phosphorus‐responsive genes in soybean (Glycine max) under low phosphorus (LP) stress. (a) Phenotypic adaptations include stable plant height, biomass maintenance (relative RDW/SDW/TDW), root length and surface area expansion, and enhanced phosphorus uptake efficiency. (b) Key regulatory genes identified through GWAS: GmRR1 regulates phosphorus signaling and adaptive growth; GmEIL4 mediates ethylene‐dependent root architecture remodeling; GmGDPD2 modulates root cell division via auxin/gibberellin crosstalk; GmPHF1 activates the phosphorus transporter GmPT4 to improve phosphorus acquisition. [Color figure can be viewed at wileyonlinelibrary.com]
Bridging Genomic Insights to Agricultural Practice: GWAS Applications in Mining Nutrient Utilization Efficiency Genes for Crop Improvement
  • Article
  • Publisher preview available

June 2025

Yu Lei Liang

·

Peng Shuai Yan

·

Wen Xue Li

·

[...]

·

Shao Jian Zheng

In the context of global food security challenges and unsustainable agricultural practices, improving crop nutrient use efficiency (NUE) has become pivotal for achieving yield stability and environmental sustainability. Traditional breeding approaches face limitations in dissecting complex traits like NUE due to low genetic resolution and restricted allelic diversity. This review highlights the transformative role of genome‐wide association studies (GWAS) in bridging genomic insights with agricultural innovation. By leveraging high‐throughput sequencing, advanced statistical models, and diverse germplasm resources, GWAS enables precise identification of genetic loci governing nitrogen (N), phosphorus (P), potassium (K), and micronutrient utilization efficiency. We summarize breakthroughs in identification of critical genes (e.g., OsTCP19, ZmNLP3.2, GmPHF1, ZmNAC78) and their regulatory roles in nitrogen‐responsive tillering mechanisms, potassium‐sodium interaction networks, phosphorus starvation adaptation pathways, or micronutrient accumulation in grains. Furthermore, we discuss the integration of GWAS with multi‐omics technologies, epigenetics, and machine learning to overcome challenges such as false positives, genetic heterogeneity, and genotype‐environment interactions. These advancements provide a robust framework for developing nutrient‐efficient crops through precision breeding, ultimately contributing to sustainable intensification of agriculture by optimizing resource use and minimizing ecological footprints.


Xylem Hydraulic Properties of Five Pinus Species Grown in Common Environment Vary From Needles to Roots With Needle Length and Native‐Range Climate

Na Wang

·

Jean‐Christophe Domec

·

Sari Palmroth

·

[...]

·

Ram Oren

Plant hydraulics govern water transport linking root to mesophyll surfaces, affecting gas‐exchange, survival and growth. Xylem and leaf structural and functional characteristics vary widely among Pinus species, even when growing under similar conditions. We quantified the variation of xylem anatomy, hydraulic function, and within‐tree hydraulic resistivity distribution, among five widely ranging southern US species: Pinus echinata, Pinus elliottii, Pinus palustris, Pinus taeda and Pinus virginiana. We found that, across species, needle length (NL) explained most of the variation in needle hydraulic properties. Resistivity to water flow in needles through tracheids' bordered‐pits decreased linearly from ~99% to 8% with increasing NL; total tracheid resistivity in branches and roots was partitioned between bordered‐pits and lumens similarly regardless of NL. Mean annual precipitation typical of the species' climatic range (CR) accounted for the variation in root hydraulic properties. Despite strong root‐to‐branch correlations of several attributes, neither NL nor CR explained the variation of any branch attribute. The results suggest that NL dominates needle xylem anatomy and function in a manner consistent with increasing hydraulic efficiency with NL, but CR produces genetic differences resulting in increased resistance to more negative xylem pressures with decreasing precipitation, at a cost of reduced hydraulic efficiency.


NAC Transcription Factor LpNAC22 Positively Regulates Drought Tolerance in Perennial Ryegrass

Zhiquan Qiang

·

Zhen Zeng

·

Danfeng Ma

·

[...]

·

Tao Qin

Drought serves as a major environmental stress that restricts both the yield and quality of perennial ryegrass. Therefore, it is important to identify the essential genes that determine drought tolerance in perennial ryegrasses. In this paper, we isolated a drought‐induced NAC transcription factor LpNAC22. Transcriptional activity assays in yeast and plant cells indicated that LpNAC22 has transcriptional activation function. Subcellular localization observations revealed that LpNAC22 localized in the nucleus, compatible with its function as a transcription factor. LpNAC22 overexpression plants had enhanced drought tolerance and reduced cell membrane damage, whereas the knockdown of LpNAC22 in perennial ryegrass reduced plant drought tolerance and led to aggravated cell membrane damage. Late embryogenesis abundant (LEA), well‐known stress resistance proteins, can protect the cell membrane from damage during drought conditions. DNA affinity purification sequencing and transcriptional regulation analysis demonstrated that LpNAC22 upregulates two LEA family genes, LpLEA1 and LpLEA2‐1, by directly binding to their promoters. Furthermore, we demonstrated that overexpression of LpLEA1 and LpLEA2‐1 in Arabidopsis enhanced drought tolerance and reduced cell membrane damage under drought conditions. Our findings provide evidence that LpNAC22 improves drought resistance by modulating the transcription of LEA family genes in perennial ryegrass.


Foliar Herbivory Suppresses Arbuscular Mycorrhizal Colonisation by Weakening Symbiosis Signalling in Root Exudates
Zhenlong Xing

·

Libo Wu

·

Arjen Biere

·

[...]

·

Jianqing Ding

Foliar insect herbivory could affect arbuscular mycorrhizal fungi (AMF), yet the underlying mechanisms remain understudied. Here, we examined the response of AMF symbiosis signals to foliar herbivory, using six herbaceous plant species and a generalist herbivorous insect. We found AMF colonisation was suppressed by foliar herbivory. After insect attack, plants allocated more biomass to belowground parts and the attack induced defence responses in aboveground parts. Notably, foliar herbivory increased shoot flavonoid concentrations but decreased root flavonoid concentrations. Moreover, quercetin and strigol concentrations in the root exudates were reduced by foliar herbivory. We further tested effect of the root exudates on the in‐vitro germination of spores of two common AMF species. Spore germination was lower in treatments with herbivore‐induced root exudates than in treatments with no‐herbivore root exudates. Moreover, addition of herbivory‐modified root exudates reduced AMF colonisation of healthy plants when compared to addition of root exudates from non‐herbivory plants. Our results suggest that foliar herbivory weakened symbiosis signalling in root exudates, which could have contributed to the observed lower AMF colonisation following herbivory. Therefore, herbivore‐induced symbiosis signalling needs to be considered when studying plant‐mediated interactions between foliar herbivores and root microbes.


Estimating Leaf CO2 Assimilation in C3 Plants Using a Handheld Porometer With Chlorophyll Fluorometer in Field Conditions

·

Erina Fushimi

·

·

[...]

·

Atsushi Maruyama

Gas exchange measurement is the gold standard method for determining leaf CO2 assimilation rate (An). However, conventional systems for measuring An often require time and/or effort to collect numerous samples in the field owing to their high weight and large size. Here, we present an efficient and convenient method for estimating An using a handheld porometer with a chlorophyll fluorometer, facilitating on‐the‐go assessment of An in the field. This porometer‐fluorometer method integrates the measured stomatal conductance and quantum yield of photochemistry in PSII into a biochemical photosynthesis model, incorporating model uncertainties into a single calibrated parameter. Using this method, we successfully estimated An variations in 12 species under field conditions, with a root mean square error of 2.0 μmol m⁻² s⁻¹, despite using the common parameter set. In contrast, without calibration (i.e., with the often‐assumed parameter value), this method greatly overestimated An. These results highlight the importance of appropriate calibration depending on prevailing conditions, particularly the light source. In summary, this method demonstrates the potential for accessible, high‐throughput, and accurate estimation of An in diverse plants, thereby addressing a key bottleneck in field‐based phenotyping of photosynthesis. However, further studies are required to reduce the uncertainties imposed on the calibrated parameter.


Adaptation to osmotic stress in plants includes three components: perception, signaling, and responses. Osmotic stress perception by various osmosensors (e.g., histidine kinase (HK), receptor‐like kinase (RLK), phospholipase C (PLC)) and mechanosensitive ion channels (e.g., OSCA) occurs by sensing membrane tension across the plasma membrane and cell walls, which activates different signaling cascades that involve signaling messengers such as calcium signatures, reactive oxygen species (ROS), histidine phosphotransferases (HPTs), and inositol triphosphate (IP3). These signaling elements directly or indirectly regulate gene expression, producing different response proteins such as osmolytes, water channels, ion transporters, detoxifying enzymes, and late embryogenesis associated (LEA) proteins. Response proteins maintain membrane integrity and restore cellular homeostasis under osmotic stress. Among the three components of osmotic machinery, stress perception is the least understood. CW, cell wall; PM, plasma membrane. [Color figure can be viewed at wileyonlinelibrary.com]
Phylogenetic and structural analysis of putative osmosensors in glycophytes and halophytes. Rooted phylogenetic tree generated from full‐length putative osmosensor protein sequences (a) histidine kinase (HK), (b) phospholipase C (PLC), (c) FERONIA (FER), (d) OSCA using MEGA11 and the NJ method with 1000 bootstrap replicates. Bootstrap values are provided on the top of each clade. The structures of putative osmosensors in glycophytes, halophytes, and lower plants were depicted using SMART (Simple Modular Architecture Research Tool) (http://smart.embl-heidelberg.de/). Different domains were predicted using PFAM database in four putative osmosensors (a) HK includes CHASE (cyclases/HKs associated sensory extracellular domain), HisK (histidine kinase), HATPase (histidine ATPase), Rec (receiver domain) conserved in glycophytes and halophytes. (b) In PLC, two catalytic domains, PLCX_c and PLCY_c, along with the cytosolic domain (C2) were conserved in glycophytes and halophytes, while EF‐hand was conserved in dicots, and present in lycophyte and liverwort. (c) The extracellular sensory malectin‐like domain of FER was conserved in glycophytes and halophytes. In monocotyledonous halophytes, serine threonine kinase domain was present at the C‐terminal instead of tyrosine kinase. (d) All three domains, including transmembrane domains, RSN1_TM and RSN1_7TM, and a cytosolic domain, PHM7_cyt, were conserved in glycophytes and halophytes. Red box indicates transmembrane domains in all putative osmosensors. [Color figure can be viewed at wileyonlinelibrary.com]
Alignment analysis of the major domains in putative osmosensors in glycophytes and halophytes. Conserved amino acids of different major domains in four putative osmosensors: (a) histidine kinase (HK), (b) phospholipase C (PLC), (c) FERONIA (FER), (d) OSCA, depicted using the WebLogo server. Four glycophytes (A. thaliana, G. max, O. sativa, and H. vulgare) and four halophytes (E. salsugineum, G. soja, O. coarctata, and H. marinum) were used in the analysis. The upper panel represents glycophytes and lower panel represents halophytes in each analysis. Differences in conserved amino acids in different domains are highlighted in boxes. [Color figure can be viewed at wileyonlinelibrary.com]
Transcriptome data, phosphorylation sites, and percentage of gene copy numbers for four putative osmosensors in glycophytes and halophytes. (a) Expression patterns of four putative osmosensors from NCBI SRAs and public databases were extracted for A. thaliana (PRJNA435910) and E. salsugineum (PRJNA435910) upon salinity stress treatment (http://ccbb.jnu.ac.in/orycoar/download/Transcriptome/download.html). No significant changes were observed in the TPM values, indicating that immediate perception of osmotic stress relies on posttranslational modifications rather than transcriptional reprogramming. (b) Absolute and (c) relative number of gene copy for four putative osmosensors in glycophytes and halophytes. For the latter, the number of gene copies was divided by the total number of genes in a genome. Error bars represent the standard error of putative osmosensor numbers in each species. (d) Conservation of phosphorylation hotspot residues among various plant species. Reference Arabidopsis gene IDs, namely AT4G04340.1, AT5G35750.1, AT3G51550.1, and AT3G08510.2, were used to identify phosphorylating residues across homologs. Numbers in the top column represent phosphorylation sites in the reference genes. The aligned homologs of putative osmosensors across different species were then sequentially aligned, providing evidence for the conservation of phosphorylation sites as a regulatory mechanism for putative osmosensors. [Color figure can be viewed at wileyonlinelibrary.com]
Representative illustration depicting the concept of rewilding glycophytes to enhance their resilience to high salinity by improving osmosensing efficiency. Key strategies include: increasing the gene copy number of osmosensors for better stress perception and adaptability; incorporating unique alleles from wild halophytes into elite glycophytic cultivars; and employing precise protein engineering to optimize posttranslational modifications (PTMs), enabling rapid stress perception and efficient signal transduction under salinity stress. [Color figure can be viewed at wileyonlinelibrary.com]
Refining Osmosensing Mechanisms for Crop Resilience: Insights From Glycophytes and Halophytes

Nishtha Rawat

·

Yogesh Sharma

·

Yuanyuan Wang

·

[...]

·

Ashwani Pareek

Salinity and drought are major global challenges threatening crop productivity and ecosystem diversity, causing annual losses exceeding US$100 billion. These stresses share a common factor: osmotic stress imposed on plants. While extensive research has explored plant osmotic adjustment mechanisms, the processes underlying osmosensing in plant roots and how this sensing translates into adaptive responses remain poorly understood. This study aims to bridge this gap by examining the structure and function of various putative osmosensors (e.g., histidine kinases, mechanosensitive ion channels, phospholipase enzymes, and receptor‐like kinases) across halophytes and glycophytes—two plant groups with contrasting salinity tolerance. We conducted a thorough bioinformatics analysis to explore the molecular evolution and structural diversity of these osmosensors in both plant groups. Our findings reveal that the evolution of putative osmosensors is highly conserved between glycophytes and halophytes, with notable divergence between monocot and dicot species within both groups. While halophytes do not exhibit distinct protein families during their evolutionary process, differences in conserved amino acids between glycophytes and halophytes may significantly influence osmosensing, signaling, and stress adaptation. Importantly, halophytes possess more copies of osmosensor‐related genes compared to glycophytes. These findings offer valuable insights for breeding climate‐resilient crops, highlighting potential pathways to enhance stress tolerance through genetic improvements.


Effects of AMF on sulfur assimilation genes, protein expression, and phenotypic changes in soybean roots under continuous cropping conditions. (A) Root colonization. (B) Root activity. (C) Root sulfur content. CK (noncontinuous cropping), CC (continuous cropping) and F (inoculation of AMF under continuous cropping). All data were presented as the mean ± standard errors of mean (mean ± SEM), and different lowercase letters indicate significant differences between treatment groups (p < 0.05). (D) Bubble map of the top 10 significantly enriched KEGG pathways of differential genes. The X‐axis represents the gene ratio, and the Y‐axis represents the KEGG pathway. Each bubble represents a pathway, and the larger the bubble, the greater the number of enriched genes in that pathway. The color of the bubble represents the significant level of enrichment of the corresponding pathway. Co‐occurrence network of genes and proteins involved in sulfur assimilation pathway in soybean after (E) continuous cropping and (F) inoculation with AMF. The pink lines indicate positive correlation, and the gray lines indicate negative correlation. [Color figure can be viewed at wileyonlinelibrary.com]
Arbuscular Mycorrhizal Fungi Enhance Sulfur Assimilation and Root Growth in Continuous Soybean Cropping: Insights From Transcriptomics and Proteomics

statement In sulfur‐deficient soils resulting from continuous soybean cropping, inoculation with arbuscular mycorrhizal fungi (AMF) significantly promotes soybean root growth and activity. This inoculation induces the expression of key sulfur‐assimilation pathway genes in soybean roots (such as Sat4 and Sat5) and their encoded proteins (such as SAT4 and SAT5). By enhancing the synergistic effects within the gene‐protein regulatory network, the sulfur and cysteine content in the roots is increased. Thus, AMF effectively alleviates sulfur deficiency in continuously cropped soybean soils by activating root sulfur‐assimilation pathways, thereby providing a theoretical basis for using AMF inoculants to remediate sulfur‐poor soils.


Additive Effects of Multiple Photoprotective Mechanisms Drive Efficient Photosynthesis Under Variable Light Conditions

June 2025

·

15 Reads

Claudia Beraldo

·

Chiara Toffanin

·

Tomas Morosinotto

·

Alessandro Alboresi

To cope with changing external conditions, plants undergo dynamic acclimation processes that adjust their photosynthetic machinery, optimising energy use while minimising damage to photosystems (PS). Key photoprotective mechanisms include non‐photochemical quenching (NPQ), which dissipates excess excitation energy, and alternative electron transport (AET) pathways, which prevent over‐reduction of the photosynthetic electron transport chain. This study provides a comprehensive analysis of how various photoprotective mechanisms contribute to long‐term acclimation to high and fluctuating light in Physcomitrium patens, a moss that exhibits well‐conserved photoprotective responses that can provide valuable insights into the adaptation of these mechanisms during evolution. Our results demonstrate that modulation of photoprotection at the level of both PSII and PSI is critical for maintaining photosynthetic efficiency and enabling acclimation to variable light conditions. P. patens mutants deficient in NPQ or AET, when exposed to high or fluctuating light all displayed growth defects, reduced photosynthetic efficiency and unbalanced PSI and PSII activity compared to WT plants. These findings indicate that photosynthetic response to varying light conditions depends on the complementary action of multiple protective strategies, rather than a single dominant photoprotective mechanism.


Integrated Volatile Metabolomics and Transcriptomics Analyses Revealed the Regulatory Mechanism of Aroma Compound Synthesis Induced by Microenvironmental Changes in Purple Tea Leaves

Tea plants with distinct leaf colours, such as purple, have attracted attention for their potential economic and flavour‐related benefits. To investigate how purple mutations influence aroma composition, we analyzed 64 tea germplasms (Camellia sinensis) with varying degrees of purple pigmentation, integrating microenvironmental data, volatile metabolomics and transcriptomics. Purple tea exhibited reduced accumulation of volatile phenylpropanoids/benzenoids (VPBs), higher surface temperatures and enrichment of stress‐responsive genes, leading to increased levels of fatty acid‐derived volatiles (FADVs) and volatile terpenoids (VTs). We identified CsWRKY70 as a central regulator of aroma biosynthesis, with its expression upregulated under heat stress, activating CsLOX3 and CsTPS13 to promote FADVs and VTs accumulation. These findings demonstrate that purple leaf mutations influence aroma composition by modulating the phenylpropanoid pathway and altering the leaf microenvironment, providing new insights into the interplay between leaf colour, environmental stress and flavour potential in tea plants.


GmbHLH68 Integrates Short‐Term Photothermal Signals to Regulate Soybean Flowering via GmFT2a

Floral transition is crucial for crop productivity and environmental adaptability. As a photoperiod‐sensitive crop, the flowering time of soybean is intricately regulated by environmental signals. Here, we show that short‐term changes of photoperiod or temperature significantly affected soybean flowering time. Through an integrative analysis of transcriptomic and epigenomic data, we revealed that short‐term exposure to inductive short day promoted floral transition via suppressing the expression of a bHLH family gene, GmbHLH68, along with the alteration of H3K27me3 modification on the locus, while short‐term high temperature had contrary effects. We establish that GmbHLH68 directly binds to and activates GmFT2a (FLOWERING LOCUS T2a) expression, forming a critical regulatory module through which short‐term photoperiod and temperature changes control flowering time in soybean. Genetic knockout of either gene abolished photothermal signal responsiveness. Interestingly, GmbHLH68 could as well bind to and promote the expression of GmRGA2L (RGA2‐like) and GmFT4, two inhibitors of floral transition. This bidirectional regulation may fine‐tune the impact of short‐term environmental changes, enabling exquisite control of flowering time. Thus, GmbHLH68 is a central regulator of flowering in response to provisional photothermal changes. Our findings may shed light on soybean cultivar improvement for stable yield during a changing environment.


Ethylene Response Factor EjERF23 From Loquat Promotes Cold Tolerance via Directly Regulating EjPOD Gene Participated in Scavenging of Hydrogen Peroxide

In higher plants, ethylene response factors (ERFs) play crucial roles in orchestrating cold stress signal transduction. This study validated EjERF23 in loquat (Eriobotrya japonica Lindl.) and elucidated its role in cold tolerance. The transcriptional expression of EjERF23 was augmented upon exposure to the ethylene precursor 1‐aminocyclopropane‐1‐carboxylate and low temperatures. Concurrently, it was inhibited by the ethylene inhibitor aminoethoxyvinylglycine under cold conditions. Overexpression of EjERF23 in transgenic tobacco enhanced cold tolerance, exhibiting significantly increased peroxidase (POD) activity, leading to reduced hydrogen peroxide (H2O2) accumulation and improved antioxidant stress tolerance. Further analysis revealed that EjERF23 directly interacts with the EjPOD47 promoter, increasing its transcriptional level. The outcomes of the yeast expression assay indicated that EjPOD47 has notable functions in the response to cold stress. Tobacco lines that were genetically modified and treated with POD inhibitors exhibited elevated content of H2O2 and a remarkable decrease in cold tolerance. The findings indicated that the EjERF23 protein is crucial for enhancing cold tolerance by positively regulating genes that code for POD to eliminate reactive oxygen species. Our findings offer fresh perspectives on the molecular regulatory mechanisms that govern the ethylene signaling pathway related to responses to cold stress.


Seedling proteome response to cysteine treatment. (A) An A. thaliana seedling culture was supplemented with 1 mM l‐cysteine for 24 h before harvest. (B) Seedling content of l‐cysteine and reduced glutathione (GSH) [µmol·g fresh weight⁻¹] (n = 8–9). (C) Principal component analysis of shotgun proteomics dataset with control (black) and cysteine‐treated (yellow) seedlings. (D) Volcano plot illustrating differences in the proteome of cysteine treated seedlings vs. controls. Proteins of significantly higher or lower abundance after cysteine feeding are marked in red and blue, respectively (t‐test, FDR < 0.05). (E) Enrichment of functional categories in proteins that are significantly increased (top, red) or decreased (bottom, blue) in the presence of cysteine. (F) Enrichment of stress induced categories among proteins that are significantly increased in the presence of cysteine. ABA, abscisic acid; BCAA, branched‐chain amino acid; BTH, benzothiadiazole, DAMP, damage‐associated molecular pattern; JA, jasmonic acid; PAMP, pathogen‐associated molecular pattern; SAM, S‐adenosylmethionine; SAR, systemic acquired resistance. The complete proteomics dataset including the enrichment analysis is provided as Dataset S1. (G) Seedling camalexin content [nmol·g fresh weight⁻¹] (n = 5). Mean (bars) and individual (dots) values ± SD are shown. Asterisks indicate statistically significant differences compared with control seedlings following students t‐test (**p < 0.01 > 0.001; ***p < 0.001 > 0.0001; ****p < 0.0001). Raw data is provided in Dataset S4. [Color figure can be viewed at wileyonlinelibrary.com]
Cysteine treatment induces resistance to the virulent pathogen Pseudomonas syringae. (A) Schematic representation of the workflow: A. thaliana plants were grown for 6 weeks under short‐day conditions and incubated in 10 mM l‐cysteine for 24 h before further analysis. (B) Content of l‐cysteine and reduced glutathione (GSH) [nmol·g fresh weight⁻¹] in the rosette leaves of mock treated (white bars) and cysteine treated (yellow bars) plants (n = 10) (C) Pst infection assay: Four leaves per plant were infiltrated with P. syringae DC3000 solution including 5 × 10⁵ colony forming units (CFU) per mL using a needleless syringe and sampled at 0 and 3 days past infection (dpi) to quantify CFU per cm leaf area (n = 11). (D) Phenotype of four representative leaves per treatment at 3 days after inoculation. Mean (bars) and individual (dots) values ± SD are shown. Asterisks indicate statistically significant differences compared with mock‐treated plants (**p < 0.01 > 0.001; ***p < 0.001 > 0.0001). Raw data is provided in Dataset S4. [Color figure can be viewed at wileyonlinelibrary.com]
Cysteine accumulation and proteome response during pathogen interaction. Six‐week‐old A. thaliana plants were infiltrated with P. syringae DC3000 (Pst) (2.5 × 10⁶ colony forming units per mL). Six leaves per plant were sampled at the indicated timepoints. (A) Content of l‐cysteine [nmol·g fresh weight⁻¹] in infected vs. mock treated leaves (n = 4–9). Mean values ± SD are shown. Asterisks indicate statistically significant differences compared with mock‐treated plants (****p < 0.0001). (B) Principal component analysis of the proteome of Pst‐ and mock‐infected leaves (circles and squares, respectively) at 24 and 48 h after inoculation (black and grey, respectively) (C) Volcano plots illustrating differences in the proteome of Pst‐ vs. mock‐infected plants at 24 and 48 hpi. Proteins of significantly higher or lower abundance after treatment with 1 mM l‐cysteine (Figure 1C) are highlighted in red and blue, respectively. (D) Enrichment of functional categories in proteins that are significantly increased (top) or decreased (bottom) at 24 hpi with Pst. Red and blue fonts indicate significantly increased or decreased categories, respectively, that were also enriched after cysteine treatment (Figure 1E). (E) Effect of Pst infection on amino acid metabolic pathways. Relative protein abundances in infected vs. mock treated leaves at 48 h after inoculation Pst. Proteins significantly increasing or decreasing in abundance are indicated by red or blue squares, respectively. 2‐OB, 2‐oxobutyrate; 2‐OG, 2‐oxoglutarate; 3PG, 3‐phosphoglycerate; ACoA, Acetyl‐CoA; AdoMet, S‐Adenosylmethionin; C1, C1‐metabolism; CM, chorismate; ET, ethylene; FeS, iron‐sulfur cluster; FU, fumarate; GABA, γ‐aminobutyric acid; Glce, glycerate; Glco, glycolate; GX, glyoxylate; Hpyr, Hydroxypyruvate; MoCo, molybdenum cofactor; NHP, N‐hydroxypipecolic acid; OA, oxaloacetic acid; Pyr, pyruvate; R5P, ribose‐5‐phosphate; SSA, succinic semialdehyde. The complete proteomics dataset including the enrichment analysis is provided in Dataset S2. Additional raw data is provided in Dataset S4. [Color figure can be viewed at wileyonlinelibrary.com]
Compartmentalisation of cysteine synthesis in pathogen resistance. (A) Effect of Pst infection on cysteine metabolic pathways: Relative protein abundances in infected vs. mock treated leaves at 24 and 48 h after inoculation with P. syringae DC3000 (Pst) (2.5 × 10⁶ colony forming units [CFU] per mL). Proteins increasing or decreasing in abundance are indicated by red or blue squares, respectively (n.d., undetected proteins). Asterisks indicate statistically significant differences compared with mock treated plants following students t‐test (*p < 0.05). APS, adenosine 5′‐phophosulfate; ATPS, ATP sulfhydrase; APR, APS reductase; SiR, sulfite reductase; SERAT, serine acetyltransferase; OAS, O‐acetylserine; OAS‐A, O‐acetylserin(thiol)lyase; GSH, glutathione; GSH1, γ‐glutamyl‐cysteine synthetase; GSH2, GSH syntethase; SCS, S‐sulfocysteine synthase; DES1, l‐cysteine desulfhydrase; Pyr, Pyruvate; 3‐MP, 3‐mercaptopyruvate; STR1, 3‐MP sulfurtransferase; GSSH, GSH‐persulfide; ETHE1, sulfur dioxygenase; β‐CA, β‐cyanoalanine; CAS‐C1, CAS synthase. (B) Total abundance of O‐acetylserin(thiol)lyase isoforms in control, mock treated and Pst infected leaves of wild type A. thaliana plants calculated from quantitative iBAQ‐values (n = 4). (C) Pst infection assay: Four leaves per plant were infiltrated with P. syringae DC3000 solution including 5 × 10⁵ colony forming units (CFU) per mL using a needleless syringe and sampled at 0 and 3 days past infection (dpi) to quantify CFU per cm leaf area. (n = 8). (D) Phenotype of four representative leaves per treatment at 3 days after inoculation. (E) Camalexin content [nmol·g fresh weight⁻¹] in mock treated and Pst infected leaves of wild type A. thaliana plants and OASTL‐deficient mutant lines (n = 4–5). (F) Cysteine and (G) Glutathione content [nmol·g fresh weight⁻¹] in control, mock treated, and Pst infected leaves of wild type A. thaliana plants and OASTL‐deficient mutant lines (n = 5–10). Mean (bars) and individual (dots) values ± SD are shown. Letters indicate statistically significant differences following ANOVA with Tukey's test (α = 0.05). Raw data is provided in Dataset S4. [Color figure can be viewed at wileyonlinelibrary.com]
Cysteine Signalling in Plant Pathogen Response

June 2025

·

17 Reads

The amino acid cysteine is the precursor for a wide range of sulfur‐containing functional molecules in plants, including enzyme cofactors and defence compounds. Due to its redox active thiol group cysteine is highly reactive. Synthesis and degradation pathways are present in several subcellular compartments to adjust the intracellular cysteine concentration. However, stress conditions can lead to a transient increase in local cysteine levels. Here we investigate links between cysteine homeostasis and metabolic signalling in Arabidopsis thaliana. The systemic proteome response to cysteine feeding strongly suggests that Arabidopsis seedlings interpret accumulation of cysteine above a certain threshold as a signal for a biotic threat. Cysteine supplementation of Arabidopsis plants via the roots increases their resistance to the hemibiotrophic bacterium Pseudomonas syringae confirming the protective function of the cysteine induced defence pathways. Analysis of mutant plants reveals that the balance of cysteine synthesis between the cytosol and organelles is crucial during Arabidopsis immune response to Pseudomonas syringae. The induction profile of pathogen responsive proteins by cysteine provides insight into potential modes of action. Our results highlight the role of cysteine as a metabolic signal in the plant immune response and add evidence to the emerging concept of intracellular organelles as important players in plant stress signalling.


HIPP33 Contributes to Selective Autophagy‐Mediated Vacuolar Sequestration of Cadmium in Arabidopsis

Cadmium (Cd), an environmentally ubiquitous heavy metal, causes phytotoxic effects to plants even at low concentrations. Plants have evolved sophisticated methods to reduce Cd toxicity. However, the regulatory mechanisms of macroautophagy/autophagy in plant tolerance to Cd remain poorly elucidated. Here, we describe the link between autophagy and Cd response in Arabidopsis, demonstrating that the metallochaperone heavy metal‐associated isoprenylated plant protein 33 (HIPP33) acts as a cargo receptor to modulate the Cd response by facilitating autophagy‐mediated vacuolar sequestration of Cd. In Arabidopsis thaliana, Cd exposure activated autophagy pathway. Consistently, autophagy‐defective (atg) mutants displayed enhanced hypersensitivity with increased reactive oxygen species accumulation and considerably lower Cd concentrations in both roots and shoots. Moreover, we discovered that the core autophagy protein ATG8e associated with HIPP33 and recruited it for autophagic degradation in an AIM (ATG8‐interacting motif)‐dependent manner. Furthermore, purified HIPP33 protein directly bound with Cd in vitro. Accordingly, loss function of HIPP33 exhibited compromised Cd tolerance compared to wild‐type Arabidopsis. Collectively, our findings propose a novel regulatory mechanism where HIPP33 serves as a selective autophagy receptor to target Cd for autophagy‐dependent vacuolar sequestration in response to Cd stress, demonstrating the modulation of Cd detoxification by selective autophagy in plants.


mRNA‐lncRNA‐miRNA Co‐Regulates the Accumulation of Flavonoids in Ginkgo biloba in Response to UV‐B Stress

Flavonoids are key secondary metabolites involved in plant stress responses. As ultraviolet (UV) radiation intensity increases, plants experience heightened UV stress. To elucidate Ginkgo biloba's molecular adaptation to ultraviolet‐B (UV‐B) stress, we subjected G. biloba seedlings to daily UV‐B irradiation at 10 kJ/m². The total flavonoid glycoside content in leaves increased significantly by Day 13 (2.64‐fold compared to the CK), with quercetin accounting for over 90% of the accumulated flavonoids. Transcriptome analysis identified 3652 differentially expressed genes (DEGs), 209 lncRNAs (DElncRNAs), and 52 miRNAs (DEmiRNAs). Notably, UV‐B radiation upregulated key genes involved in flavonoid biosynthesis, including the F3'H family gene evm.model.chr2.812 and the MYB transcription factor (TF) evm.model.chr11.568. Trans‐regulation analysis suggested lncRNAs modulate target genes: MSTRG.5750.1 and MSTRG.13336.1 potentially enhance evm.model.chr2.812 and evm.model.chr11.568 expression, while UV‐B‐repressed MSTRG.845.1 and MSTRG.3390.1 indirectly upregulated them. A ceRNA network revealed nine regulatory pairs, though associated miRNAs (gbi‐miR‐nov634‐3, gbi‐miR‐nov789‐3p) exhibited low abundance, indicating minor roles in UV‐B response. These findings provide insights into the transcriptional regulation of flavonoid biosynthesis in G. biloba under UV‐B stress, advancing understanding of plant secondary metabolic adaptation.


Exploring the Sustainable Utilization of Alfalfa Within the Phytomedicine Domain

Wild alfalfa is a ubiquitous legume crop and an important feed for livestock such as cattle and sheep. However, despite its agricultural significance, the potential of alfalfa as a medicinal raw material remains largely untapped, with particularly limited research focusing on the bioactivity of its phenolic compounds. This study aimed to systematically evaluate the phenolic profiles, antioxidant capacities, and antimicrobial effects of three common wild alfalfa species to explore their potential as sustainable sources of phytomedicinal ingredients. A comprehensive analysis was conducted on the growth characteristics, photosynthetic parameters and metabolic profiles of Medicago sativa (M. sativa) L., Medicago falcata (M. falcata) L. and Medicago ruthenica (M. ruthenica) L. collected from Hulunbuir Prairie, China. Phenolic compounds were quantified using HPLC–MS, while antioxidant activities were assessed via FRAP and ABTS assays. Antimicrobial efficacy was tested against gram‐positive (Staphylococcus aureus [S. aureus], Bacillus subtilis) and gram‐negative (Escherichia coli, Acinetobacter baumannii) bacteria using agar diffusion and microdilution techniques. M. falcata L. demonstrated the greatest plant height (81 cm) and basal stem diameter (5.7 mm), while M. sativa L. exhibited the highest photosynthetic rate (9.3 μmol m⁻² s⁻¹) and chlorophyll content, indicating distinct species‐specific adaptations. Phytochemical analysis showed that the leaves were rich in phenolic compounds including isoliquiritigenin and ferulic acid, while roots contained substantial l‐phenylalanine and trigonelline. Leaf and root extracts of three wild alfalfa species exhibited notable antioxidant capacity, with M. ruthenica leaves showing the highest activity (FRAP: 149.2 ± 2.7 mmol Fe (II)/g DW; ABTS: 100.5 ± 2.8 mmol TE/g DW), highlighting their potential as natural antioxidant sources. The extracts exhibited selective antibacterial efficacy against gram‐positive pathogens (S. aureus, etc.), demonstrating inhibition zones of 15.2–18.2 mm and MIC values of 313 mg/mL. Phenolic compounds in alfalfa possess biological activities such as antioxidant and antibacterial properties. Many phenolic compounds are difficult and expensive to synthesize, leading to supply shortages. Alfalfa, as a common and widely distributed crop, can provide a plant source for antioxidants and antimicrobials. This study provides new guidance to meet the demand for phytomedicinal ingredients. It offers data to support the development of medicines for human health.


MdDUF506 Enhances Aluminium Tolerance by Interacting With MdCNR8 in Apple

As soil acidification occurs due to industrial and agricultural production processes, it can induce the release of rhizotoxic aluminium ions (Al³⁺) into the soil, ultimately causing aluminium (Al) stress. Excessive Al content in soil exhibits significant phytotoxicity, inhibiting the growth of roots and stems. In this study, we conducted an investigation into the Al stress tolerance of two apple rootstocks, namely ‘YZ3’ and ‘YZ6’, and discovered that ‘YZ3’ exhibited a superior ability to alleviate the inhibitory effects of Al stress on plant growth. By comparing the transcriptomes of two rootstocks, a differentially expressed gene, MdDUF506, containing an unknown functional (DUF) domain, was identified. Overexpression of MdDUF506 in apple and calli enhances the ability to scavenge reactive oxygen species (ROS), subsequently mitigating the oxidative damage induced by Al stress on plant growth and development. Furthermore, MdDUF506 regulates Al stress tolerance by modulating the expression of genes related to Al stress (MdSTOP1, MdRSL1, MdRSL4, MdGL2, and MdRAE1). MdDUF506 interacts with MdCNR8, positively regulating Al stress tolerance. Taken together, these discoveries offer crucial candidate genes for targeted breeding as well as fresh insights into resistance to Al stress.


The response of Fv/Fm to temperature under dark and light conditions: (a) 300 μmol·m⁻²·s⁻¹ for heat tolerance, (b) 1000 μmol·m⁻²·s⁻¹ for heat tolerance, and (c) 200 μmol·m⁻²·s⁻¹ for cold tolerance. Tcrit is the temperature where the slope of the Fv/Fm versus temperature relationship reached 15% of its most negative value, which represents the temperature at which Fv/Fm begins to decline. T50 is the temperature where Fv/Fm reaches 50% of its maximum value. The notations ‘_h’ and ‘_c’ are used to distinguish between heat tolerance and cold tolerance. Each dot represents species averaged Fv/Fm at a certain temperature. [Color figure can be viewed at wileyonlinelibrary.com]
Influence of light on heat tolerance during heat treatment. Panels (a and b) depict the comparisons of heat tolerance metrics between the weak‐light treatment (300 μmol·m⁻²·s⁻¹) and the control group; Panels (c and d) illustrate the comparisons of heat tolerance indexes between the strong‐light treatment (1000 μmol·m⁻²·s⁻¹) and the control group. Circles presenting species averaged ΔTcrit_h and ΔT50_h indicate that there is no significant difference between the treatment and the control group, with a p value > 0.05. Dots for species averaged ΔTcrit_h and ΔT50_h represent a significant difference from 0 (p value ≤ 0.05). * denotes p value < 0.05; ****, denotes p value < 0.0001, ns shows p value > 0.05. Different colours are used to distinguish species. [Color figure can be viewed at wileyonlinelibrary.com]
Influence of light (200 μmol·m⁻²·s⁻¹) on the cold tolerance indexes (a) Tcrit and (b) T50 during cold treatment. Circles presenting species averaged ΔTcrit_c and ΔT50_c indicate that there is no significant difference between the treatment and the control group, with a p value > 0.05. Dots for species averaged ΔTcrit_c and ΔT50_c represent a significant difference from 0 (p value ≤ 0.05). Since all of the values of ΔTcrit_c and ΔT50_c are significantly greater than 0, no circles are present in this figure. ****, denotes p value < 0.0001. Different colours are used to distinguish species. [Color figure can be viewed at wileyonlinelibrary.com]
The contribution of leaf traits to the light‐induced change in heat tolerance metrics: (a) Tcrit_h and (b) T50_h during heat treatment. The right panel in Figure (a) shows the standardised coefficient of the optimal model. [Color figure can be viewed at wileyonlinelibrary.com]
The contribution of leaf traits to the light‐induced change of cold tolerance metrics. (a) Tcrit_c and (b) T50_c during cold treatment. The right‐hand panels in both Figure (a) and (b) show the standardised coefficient of the optimal model. [Color figure can be viewed at wileyonlinelibrary.com]
Light Intensity Alters Thermal Tolerance During Heat and Cold Stress in Canopy Plant Species

Climate change increases extreme weather events like heat waves and cold waves. Understanding plant thermal tolerance is essential for assessing their safety. Measuring the Fv/Fm after dark thermal treatments is a common way to evaluate photosynthetic thermal tolerance, but it differs from real‐world conditions with light–temperature covariation. To investigate how light influences thermal tolerance measurement, we tested the photosynthetic thermal tolerance of 20 naturally growing canopy species from Xishuangbanna Tropical Botanical Garden under various light intensities. We found that weak light (300 μmol·m⁻²·s⁻¹) triggered species‐specific responses in heat tolerance, while strong light (1000 μmol·m⁻²·s⁻¹) reduced heat tolerance across all tested species, except for Psidium guajava in T50_h. Weak light (200 μmol·m⁻²·s⁻¹) significantly reduced the cold tolerance of all 10 tested species. The species with higher gas exchange rate (Emax and Amax) were more resistant to light‐induced damage under heat stress. Leaf thickness mitigated the reduction of heat tolerance caused by strong light and provided physical photoprotection under cold stress. These findings highlight the importance of considering both species‐specific photoprotective capacities and ecological realism when evaluating photosynthetic thermal limits. This study helps us understand plant adaptation strategies and predict ecosystem responses to climate change.


GLK2, a GOLDEN2‐LIKE Transcription Factor, Directly Regulates Anthocyanin Accumulation by Binding With Promoters of Key Anthocyanin Biosynthetic Genes in Arabidopsis

Accumulation of anthocyanin is a protective response to high light in plants, by absorbing excess energy and serving as antioxidant. Our study in Arabidopsis revealed that GOLDEN2‐LIKE 2 (GLK2), a key transcription factor regulating chloroplast development, plays a crucial role in anthocyanin biosynthesis during seedling photomorphogenesis, especially under high light stress. We demonstrate that GLK2 acts as a transcriptional activator by directly binding to the promoters of anthocyanin late biosynthetic genes (LBGs) and TRANSPARENT TESTA GLABRA 1 (TTG1) gene, that encodes a key component of the regulatory MYB‐bHLH‐WD40 (MBW) complex (which also activates LBGs). Another component of MBW complex, TT8, interacts with GLK2 and may take part in GLK2‐mediated anthocyanin accumulation. DE‐ETIOLATED 1 (DET1) facilitates the degradation of ELONGATED HYPOCOTYL5 (HY5) and GLKs in darkness by forming a ubiquitin ligase complex. Loss of DET1 resulted in increased anthocyanin production, while mutations of HY5 or GLK2 each partially suppresses the expression of anthocyanin biosynthetic genes in det1 mutant. In addition, HY5 and GLKs appear to regulate anthocyanin early and late biosynthesis with different preferences. We therefore propose the involvement of GLK2, partially independent of HY5, in promoting anthocyanin production as a protective measure against excessive light during seedling greening.



(a–c) (a) Stemflow neutral sugar concentrations by phenophase, all species combined. Rhamnose, glucose, and galactose are from August 2020 to July 2023. Mannose, xylose, arabinose and fucose are from February 2022 to July 2023. The horizontal line inside of each box represents the median. The top of each box is the 75th percentile, while the bottom of each box is the 25th percentile. The whiskers represent the minimum and maximum values if no outliers exist. If outliers are present, then the whiskers extend to 1.5 * IQR, or interquartile range. Data points outside of the whiskers are categorised as outliers represented by dots. Some extreme outliers are not shown due to the y axis scale maximum that is set to enhance differences at lower concentrations at which most of the data were collected. The n values for Figure 1a are shown in Supporting Information S1: Table S3; (b) Sums of stemflow neutral sugar concentrations (µmol L⁻¹) by tree species and phenophase. The horizontal line within the box denotes the median and the IQR is shown by the box boundaries. The whiskers extend 1.5 * IQR beyond the first and third quartiles. Outliers are denoted by the dots located beyond the whiskers; and (c) Proposed conceptual model to explain the interplay and connections between higher stemflow neutral sugar concentrations during senescence and ecophysiological changes in bark/wood chemistry that initiate cold hardiness. The proposed model is derived from a pairing of our experimental data on stemflow leaching of neutral sugars in relation to phenophase with mechanisms for sugar transport and translocation from the literature. Chemical structures of oligo‐ and monosaccharides created with ChemDraw. (Top) Sucrose is transported to the apoplast by SWEET (Selvam et al. 2019), while oligosaccharides (e.g., raffinose) may be translocated to the apoplast by SWEET and/or active transport by vesicles (Valluru et al. 2008). Oligosaccharides and sucrose transported to the apoplast are randomly broken down into disaccharides and monosaccharides by exohydrolase. The mixture of monosaccharides, disaccharides and oligosaccharides produced by enzymatic degradation is useful for protecting and weatherproofing the cell membrane in cold conditions. (Bottom) Starch and oligosaccharides synthesised by photosynthesis during the leafed phenophase are accumulated in the inner bark and xylem. Starch in the xylem is not degraded much during senescence. In contrast, starch and oligosaccharides in the inner bark are transported to the apoplast and are degraded to mono‐ or di‐saccharides by exohydrolase for cold acclimation. Some of these low‐molecular‐weight soluble sugars in the apoplast are dissolved and leached by stemflow. The leaching of sugars occurs at the intrastorm scale via stemflow with the leaching rate partly dependent on the concentration gradients between the symplast and apoplast. [Color figure can be viewed at wileyonlinelibrary.com]
Stemflow Unveils Trees' Weatherproofing Stratagem During Autumnal Senescence

June 2025

·

25 Reads

statement Tree weatherproofing during senescence is imprinted in trees' stemflow chemistry. We supply novel data on stemflow neutral sugars leaching and propose a conceptual model to explain the interplay between higher stemflow neutral sugar concentrations during senescence and ecophysiological changes in bark/wood chemistry that initiate cold hardiness.


Diverse Thermosensors Involved in Arabidopsis Flowering‐Time Regulation. (A) Cold temperature‐induced accumulation of CBF proteins interacts with PIF3, leading to the stabilisation of phyB. phyB changes between active Pfr states and inactive Pr states in response to temperature, and influences downstream gene expression. (B) CRY2, activated by blue light, transitions from an inactive state to form homodimers. And CRY2 levels gradually accumulated with increasing temperature, but are degraded via the 26S proteasome under low ambient temperatures in a blue light‐dependent manner. (C) UVR8 is regulated by UV‐B and temperature, allowing it to switch between active and inactive monomers. (D) ELF3 acts as a thermosensor in a temperature‐dependent pathway, forming the evening complex with ELF4 and LUX proteins, and directly suppresses the expression of PIF4 and PIF5 genes. [Color figure can be viewed at wileyonlinelibrary.com]
Mechanism of high temperature regulation of flowering time in Arabidopsis. (A) phyB transitions from an active Pfr state to an inactive Pr state at high temperatures, leading to the release of PIF4, which activates FT expression. ELF3 undergoes phase separation at high temperatures, relieving the repression of PIF4 by the evening complex consisting of ELF3, ELF4, and LUX. CRY2 levels are positively regulated by elevated temperatures, facilitating its interaction with SPA1 to inhibit COP1‐dependent CO degradation and form complexes with CRY2, CIB1, and CO, further promoting FT expression. Additionally, increased temperatures convert UVR8 into an inactive dimer form, allowing it to interact with COP1 and accumulate in the nucleus, which promotes the accumulation of PIF4. High temperatures also induce PIF4 expression through various transcription factors, including TCP and BZR1. Key regulatory factors such as HMR, DET1, and COP1 enhance the stability of the PIF4 protein. PIF4 then promotes flowering by directly binding to the FT promoter to activate its expression. (B) At elevated temperatures, increased H3K36me3 levels at the FLM site enhance the binding of splicing factors, leading to increased production of FLM‐δ isoforms. This promotes SVP protein degradation, reduces the abundance of the FLM‐β‐SVP inhibition complex, releases FT transcription inhibition, and facilitates flowering. The degradation of SVP is mediated by CRL3 complexes (LFH1, CUL3A, and UBC15). Additionally, high‐temperature‐induced HSP101 further inhibits SVP expression, contributing to the release of FT inhibition and promoting flowering. (C) higher ambient temperature, H2A.Z‐containing nucleosomes at the FT transcription start site (TSS) are converted to standard H2A, this in turn enhances FT transcription and ultimately leads to early flowering. At higher ambient temperatures, H2A.Z‐containing nucleosomes of FT are replaced by H2A, which in turn enhances FT transcription and ultimately leads to early flowering. (D) miR172 has the opposite effect of miR156. It accumulates at high temperatures, downregulating AP2 domain transcription factors and thereby accelerating flowering. In contrast, the expression of miR156 decreases at elevated temperatures, which reduces its inhibitory effect on SPL target genes. (E) Brassinolide functions through the transcription factor BZR1, which accumulates in the nucleus and is activated by warm temperatures in conjunction with the PIF4 promoter, thereby promoting flowering. BZR1 also regulates the expression of FLC by inhibiting the negative regulatory factor FLD and recruiting ELF6 to enhance FLC expression by removing H3K27me3 inhibitory marks at the FLC loci. [Color figure can be viewed at wileyonlinelibrary.com]
Mechanism of low temperature regulation of flowering time in Arabidopsis. (A) Cold temperatures convert phyB from the inactive Pr state to the active Pfr state, promoting the degradation of PIFs (PIF1, PIF4, and PIF5) and alleviating CBFs (CBF1, CBF2, and CBF3) inhibition. This increases FLC expression and downregulates the flowering integrators FT and SOC1, ultimately leading to delayed flowering. Cold temperatures significantly induce CBFs, which activate cold‐regulated COR genes. Additionally, SOC1 is regulated by the transcription factors GNC and GNL, further contributing to late flowering. (B) ICE1 regulates CBF expression at low temperatures and directly promotes FLC expression, thereby inhibiting FT expression and delaying flowering. Under cold conditions, HOS1 interacts with FLC chromatin and associates with FVE and HDA6, releasing HDA6 to activate FLC and further delay flowering. Additionally, HOS1 interacts with CO, negatively affecting CO abundance and FT transcription. In contrast, low temperatures enhance the interaction between BBX proteins, specifically BBX28 and BBX29, and CO, thereby promoting CO activity. (C) FLM‐β levels increase at low temperatures, leading to the formation of more complexes with SVP and ultimately inhibiting flowering. Additionally, the splicing variant of MAF2 interacts with SVP to inhibit flowering under these conditions. At low temperatures, increased COP1 levels interact with HOS15, resulting in the degradation of GI. GI stability is also synergically regulated by ELF3, resulting in reduced FT expression and delayed flowering time. (D) Gibberellin signalling is crucial in temperature‐mediated flowering regulation. DELLA proteins interact with PIF3 and PIF4, promoting their degradation and preventing their interaction with FT, thus inhibiting flowering. Additionally, the blue photoreceptor ZTL accumulates at low temperatures and interacts with flowering inhibitors TOE1 and TOE2 to suppress FT expression and delay flowering. (E) The circadian clock and photoperiod play crucial roles in regulating cold temperature responses. At low temperatures, selective splicing of CCA1α is inhibited, resulting in reduced production of CCA1β. This decrease allows CCA1β to compete with CCA1α and LHY to form nonfunctional heterodimers, which promote CBF expression. CBF1 binds to LUX loci, regulating LUX transcription and influencing circadian rhythms. Furthermore, low temperatures induce CCA1 to bind to the chromatin of COR27 and COR28, inhibiting their transcription and alleviating the transcriptional repression of TOC1 and RPP5. This regulation helps modulate the biological clock cycle length and balances flowering time. (F) Lipid‐mediated signalling has been shown to play a crucial role in regulating flowering time. At low temperatures, FT binds to membrane phospholipids, with the strongest interaction occurring with phosphatidylglycerol (PG). This binding restricts the fluidity of FT, leading to delayed flowering under low‐temperature conditions. [Color figure can be viewed at wileyonlinelibrary.com]
Temperature Regulation on Crop Flowering. (A) The expression of GmCOL2b is upregulated at low temperatures, leading to the repression of GmFT2a and GmFT5a through increased GmE1 expression, which ultimately delays flowering in soybean. At 35°C, GmphyA (GmphyA2 and GmphyA3) enhances GmE1 expression while inhibiting GmFT2a and GmFT5a, thereby suppressing flowering. Around 30°C, flowering‐promoting genes GmCOL5a/5b and GmCOL6a/6b are activated, while flowering‐inhibiting genes GmE1 and GmE2 are repressed, alleviating the transcriptional inhibition of GmFT2a and GmFT5a, and promoting flowering. Simultaneously, the temperature of 30°C directly increases the expression of the flowering genes GmFT2a and GmFT5a, further accelerating flowering. (B) Low temperatures inhibit the key flower‐activating transcription factor OsEhd1 and activate the flower‐suppressing gene OsGhd7, leading to reduced transcription of rice flowering genes OsHd3a and OsRFT1, which delays flowering. Additionally, OsphyB enhances OsGhd7 inhibitory activity at lower temperatures. (C) The expression of ZmHPC1, which encodes phospholipase A1 in maize, increases at low temperatures, leading to the production of more phospholipids that bind to ZmZCN8, thereby inhibiting flowering. [Color figure can be viewed at wileyonlinelibrary.com]
Molecular Mechanisms of Temperature‐Mediated Flowering Regulation: From Arabidopsis to Short‐Day Crops

Temperature plays a pivotal role in plant growth and development, with flowering time being particularly sensitive to thermal changes. Understanding the molecular mechanisms of temperature‐regulated flowering is crucial for enhancing plant adaptability and improving productivity. This review systematically summarised the molecular mechanisms underlying flowering regulation by ambient temperature fluctuations (excluding vernalisation treatments typically requiring prolonged exposure to 0°C–6°C for weeks or months) in Arabidopsis and three key short‐day crops: soybean (Glycine max), rice (Oryza sativa), and maize (Zea mays). We provide a comprehensive overview of the temperature sensors involved in flowering regulation, focusing on how key molecular components, including photoreceptors, transcription factors, chromatin modifiers, miRNAs, and hormone, mediate temperature responses that regulate flowering time. Although significant insights have been gained from Arabidopsis, understanding of these mechanisms in crops remains limited, hindering advances in developing temperature‐adaptive varieties. We discuss the limitations of the current study and propose future research directions, including uncovering crop‐specific temperature regulation mechanisms, studying flowering responses under dynamic conditions, and exploring strategies for breeding temperature‐adaptive crops. By clarifying the flowering mechanisms that respond to non‐vernalisation temperatures, this review aims to guide future efforts to improve crop resilience and adaptation strategies in the face of climate change.


A Shading‐Responsive bHLH Transcription Factor (CsPIF7) Promotes Theanine Biosynthesis in Tea Plants (Camellia sinensis)

Shading is a widely applied strategy to increase theanine and chlorophyll levels in tea leaves during matcha production. However, the regulatory mechanism of theanine accumulation under shading conditions remains elusive. Through visualization analysis of PIF genes under shading conditions, we identified a homologue of AtPIF7 gene, CsPIF7, highly responsive to shading treatment. Through co‐expression analysis, we found that CsPIF7 expression patterns exhibited a high correlation with those of the key theanine biosynthesis genes, CsTSⅠ and CsGSⅠ. Silencing of CsPIF7 significantly reduced the expression of CsTSⅠ and CsGSⅠ and theanine content. On the contrary, overexpression of CsPIF7 increased the expression levels of CsTSⅠ and CsGSⅠ and theanine content. Yeast one‐hybrid (Y1H), dual‐luciferase reporter assay and Electrophoretic Mobility Shift Assay (EMSA) further demonstrated that CsPIF7 could bind to the promoters of CsTSⅠ and CsGSⅠ, and activate the expression of CsTSⅠ and CsGSⅠ. In conclusion, CsPIF7 could mediate the shading‐induced biosynthesis of theanine by directly binding to and activating the expression of CsTSⅠ and CsGSⅠ. This study provides new insights into molecular mechanisms for the production of greener and fresher matcha under shading conditions.



Optimised Ribosome Profiling Reveals New Insights Into Translational Regulation in Synchronised Chlamydomonas reinhardtii Cultures

June 2025

·

28 Reads

Deep sequencing of ribosome footprints, also known as ribosome profiling (Ribo‐seq), enables the quantification of mRNA translation and a comprehensive view of the translatome landscape. Here, we report an optimised Ribo‐seq protocol and analysis pipeline for the model green alga, Chlamydomonas reinhardtiii (Chlamydomonas). Compared to the previously published data sets, the ribosome‐protected fragments generated by our protocol showed improved mapping rates to the main open reading frames, reduced bias mapping to the gene coding regions and high 3‐nt footprint periodicity. Using this optimised protocol, we employed Ribo‐seq alongside RNA‐seq to compute translation efficiency and identify genes with differential translation during the diurnal cycle. Interestingly, we found that the translation efficiency of many core cell cycle genes was significantly enhanced in cells at the early synthesis/mitosis (S/M) stage. This result suggests that translational regulation plays a role in cell cycle regulation in C. reinhardtii. Furthermore, the high periodicity of ribosome footprints allowed us to identify potential C. reinhardtii upstream open reading frames (uORFs). Further analysis revealed that some of these uORFs are differentially regulated and may play a role in diurnal regulation. In summary, we used an optimised Ribo‐seq protocol to generate a high‐quality Ribo‐seq data set that constitutes a valuable resource for Chlamydomonas genomics. The ribosome profile data is linked to the Chlamydomonas reference genome and accessible to the scientific community.



Journal metrics


6.1 (2023)

Journal Impact Factor™


27%

Acceptance rate


13.3 (2023)

CiteScore™


24 days

Submission to first decision


1.697 (2023)

SNIP


$5,440.00 / £3,610.00 / €4,560.00

Article processing charge