Abiotic stresses, such as drought, salinity, heat, cold, and heavy metals, are associated with global climate change and hamper plant growth and development, affecting crop yields and quality. However, the negative effects of abiotic stresses can be mitigated through exogenous treatments using small biomolecules. For example, the foliar application of melatonin provides the following: it protects the photosynthetic apparatus; it increases the antioxidant defenses, osmoprotectant, and soluble sugar levels; it prevents tissue damage and reduces electrolyte leakage; it improves reactive oxygen species (ROS) scavenging; and it increases biomass, maintains the redox and ion homeostasis, and improves gaseous exchange. Glutathione spray upregulates the glyoxalase system, reduces methylglyoxal (MG) toxicity and oxidative stress, decreases hydrogen peroxide and malondialdehyde accumulation, improves the defense mechanisms, tissue repairs, and nitrogen fixation, and upregulates the phytochelatins. The exogenous application of proline enhances growth and other physiological characteristics, upregulates osmoprotection, protects the integrity of the plasma lemma, reduces lipid peroxidation, increases photosynthetic pigments, phenolic acids, flavonoids, and amino acids, and enhances stress tolerance, carbon fixation, and leaf nitrogen content. The foliar application of glycine betaine improves growth, upregulates osmoprotection and osmoregulation, increases relative water content, net photosynthetic rate, and catalase activity, decreases photorespiration, ion leakage, and lipid peroxidation, protects the oxygen-evolving complex, and prevents chlorosis. Chemical priming has various important advantages over transgenic technology as it is typically more affordable for farmers and safe for plants, people, and animals, while being considered environmentally acceptable. Chemical priming helps to improve the quality and quantity of the yield. This review summarizes and discusses how exogenous melatonin, glutathione, proline, and glycine betaine can help crops combat abiotic stresses.

Populus trichocarpa (Black cottonwood) is a dominant timber-yielding tree that has become a notable model plant for genome-level insights in forest trees. The efficient transport and solubility of various glycoside-associated compounds is linked to Family-1 UDP-glycosyltransferase (EC 2.4.1.x; UGTs) enzymes. These glycosyltransferase enzymes play a vital role in diverse plant functions, such as regulation of hormonal homeostasis, growth and development (seed, flower, fiber, root, etc.), xenobiotic detoxification, stress response (salt, drought, and oxidative), and biosynthesis of secondary metabolites. Here, we report a genome-wide analysis of the P. trichocarpa genome that identified 191 putative UGTs distributed across all chromosomes (with the exception of chromosome 20) based on 44 conserved plant secondary product glycosyltransferase (PSPG) motif amino acid sequences. Phylogenetic analysis of the 191 Populus UGTs together with 22 referenced UGTs from Arabidopsis and maize clustered the putative UGTs into 16 major groups (A–P). Whole-genome duplication events were the dominant pattern of duplication among UGTs in Populus. A well-conserved intron insertion was detected in most intron-containing UGTs across eight examined eudicots, including Populus. Most of the UGT genes were found preferentially expressed in leaf and root tissues in general. The regulation of putative UGT expression in response to drought, salt and heat stress was observed based on microarray and available RNA sequencing datasets. Up- and down-regulated UGT expression models were designed, based on transcripts per kilobase million values, confirmed their maximally varied expression under drought, salt and heat stresses. Co-expression networking of putative UGTs indicated their maximum co-expression with cytochrome P450 genes involved in triterpenoid biosynthesis. Our results provide an important resource for the identification of functional UGT genes to manipulate abiotic stress responsive glycosylation in Populus.

Plant diseases cause substantial loss to crops all over the world, reducing the quality and quantity of agricultural goods significantly. One of the world’s most damaging plant diseases, rice blast poses a substantial threat to global food security. Magnaporthe oryzae causes rice blast disease, which challenges world food security by causing substantial damage in rice production annually. Autophagy is an evolutionarily conserved breakdown and recycling system in eukaryotes that regulate homeostasis, stress adaption, and programmed cell death. Recently, new studies found that the autophagy process plays a vital role in the pathogenicity of M. oryzae and the regulation mechanisms are gradually clarified. Here we present a brief summary of the recent advances, concentrating on the new findings of autophagy regulation mechanisms and summarize some autophagy-related techniques in rice blast fungus. This review will help readers to better understand the relationship between autophagy and the virulence of plant pathogenic fungi.

Vigna is a unique genus that consist of multiple crop species that are domesticated in parallel fashion between 7–10 thousand years ago. Here we studied the evolution of nucleotide-binding site leucine-rich repeat receptor (NLR) genes across five crop species of genus Vigna. In total identified 286, 350, 234, 250, 108 and 161 NLR genes were from Phaseolous vulgaris, Vigna. unguiculata, Vigna mungo, Vigna radiata, Vigna angularis and Vigna umbellata respectively. Comprehensive phylogenetic and clusterization analysis reveals the presence of seven subgroups of Coiled coil like NLRs (CC-NLR) genes and four distinct lineages of Toll interleukin receptor like NLRs (TIR-NLR). Subgroup CC_G10-NLR shows large scale diversification among Vigna species suggesting genus specific distinct duplication pattern in Vigna species. Mainly birth of new NLR gene families and higher rate of terminal duplication is the major determinants for expansion of NLRome in genus Vigna. Recent expansion of NLRome in V. anguiculata and V. radiata was also observed which might suggest that domestication have supported their duplication of lineage specific NLR genes. In short, large scale difference in the architecture of NLRome were observed in diploid plant species. Our findings allowed us to hypothesized that independent parallel domestication is the major drivers of highly divergent evolution of NLRome in genus Vigna.

Synthetic biology is transforming biosensors from passive molecular detectors into programable systems capable of integrating biological sensing with therapeutic decision-making. Conventional biosensors respond to a single molecular input and are inherently limited in interpreting complex biological environments that characterize human disease. Synthetic biology logic gates address this limitation by implementing Boolean computation through modular transcriptional regulators, RNA switches, CRISPR-based regulators, and recombinase systems, enabling autonomous biological decision-making within living cells. These genetic circuits enable biosensors to evaluate multiple disease-relevant inputs simultaneously and generate context-specific diagnostic or therapeutic outputs. This review critically analyzes how logic-gated biosensing systems integrate biological sensing, genetic computation, and therapeutic actuation, while identifying the engineering and translational barriers that currently limit their clinical implementation. Comparison of current platforms shows that increasing circuit complexity generally improves disease specificity and therapeutic precision but often reduces robustness, scalability, and translational feasibility because of circuit leakage, metabolic burden, crosstalk, and biological variability. While AND and SynNotch circuits provide superior target discrimination for cell therapies, CRISPR-based and memory-enabled systems expand programable control but introduce additional engineering challenges. Current clinical translation remains constrained by circuit stability, manufacturing complexity, biosafety, and the lack of standardized regulatory frameworks. Emerging modular circuit design, cell-free biosensing, and artificial intelligence-assisted optimization are beginning to address these limitations and provide more scalable strategies for precision therapeutics. Collectively, this review identifies the engineering principles and design trade-offs that will govern the development of next-generation logic-enabled biosensors from proof-of-concept platforms to clinically deployable therapeutic systems.