In plants, alternative splicing (AS) is a crucial post-transcriptional regulatory mechanism that generates diverse mature transcripts from precursor mRNA, with the resulting functional proteins regulating a wide range of plant life activities. The regulation of AS is intricate and complex, playing pivotal roles in controlling plant biological processes like seed germination, flowering time control, growth, and development, as well as responses to abiotic and biotic stresses. The regulation of AS is a multilayered and intricately coordinated network system, primarily involving two core components: cis-regulatory elements and trans-acting factors on pre-mRNA. The precise execution of AS relies on the splicing factors by recognizing cis-elements to modulate splice site selection. Regulated by their own sequence variation, environmental cues, and identification of different spliceosomes, functional genes enable AS to achieve precise spatiotemporal regulation, thereby allowing plants to dynamically respond to developmental signals and environmental challenges. Here, we provide a comprehensive overview of AS patterns, functional genes, and splicing factors undergoing AS and its regulatory mechanisms during different processes, highlighting how AS-mediated gene regulation contributes to plant development and stress response, and offering potential strategies for improving plant adaptation by manipulation of AS-regulated genes.

Beet (Beta vulgaris L.) is an important economic crop widely cultivated across various regions worldwide. Its agricultural significance lies not only in its high sugar yield but also in its positive impact on agro-ecosystems and the economic value of its by-products. However, beet production and quality are adversely affected by multiple abiotic and biotic stresses, including pathogen infection, drought, salinity, and extreme temperatures. In recent years, numerous key stress-responsive genes have been identified, including BvPAL, BvPR, and Rz1-4, which mediate responses to biotic stresses, and BvM14-SAMS2, BvINT1;1, BvHMA3, BvCOLD1, and BvALKBH10B, which enhance tolerance to abiotic stresses. Meanwhile, core transcription factors such as bHLH, HSP, WRKY, and SPL show differential expression under stresses, suggesting that they may regulate stress-related genes and constitute major transcriptional modules enabling beet to withstand adverse conditions. In this study, we summarize the changes in beet under different stress conditions, combining gene information to reveal key regulatory changes in stress responses and how these molecular processes contribute to stress adaptation. This not only provides a theoretical basis for the improvement of beet stress tolerance and yield, but also offers potential directions for future breeding strategies in practical applications.

Soybean frogeye leaf spot (FLS) disease has been reported globally and is caused by the fungus Cercospora sojina, which affects the growth, seed yield, and quality of soybean. Among the 15 physiological microspecies of C. sojina soybean in China, Race 7 is one of the main pathogenic microspecies. A few genes are involved in resistance to FLS, and they cannot meet the need to design molecular breeding methods for disease resistance. In this study, a soybean recombinant inbred line (RIL3613) population and a germplasm resource (GP) population were planted at two sites, Acheng (AC) and Xiangyang (XY). Phenotypic data on the percentage of leaf area diseased (PLAD) in soybean leaves were obtained via image recognition technology after the inoculation of seven physiological species and full onset at the R3 stage. Quantitative trait loci (QTLs) and quantitative trait nucleotides (QTNs) were mapped via linkage analysis and genome-wide association studies (GWASs), respectively. The resistance genes of FLS were subsequently predicted in the linkage disequilibrium region of the collocated QTN. We identified 114 QTLs and 18 QTNs in the RIL3613 and GP populations, respectively. A total of 14 QTN loci were colocalized in the two populations, six of which presented high phenotypic contributions. Through haplotype–phenotype association analysis and expression quantification, three genes (Glyma.06G300100, Glyma.06G300600, and Glyma.13G172300) located near molecular markers AX-90524088 and AX-90437152 (QTNs) are associated with FLS Chinese Race 7, identifying them as potential candidate resistance genes. These results provide a theoretical basis for the genetic mining of soybean antigray spot No. 7 physiological species. These findings also provide a theoretical basis for understanding the genetic mechanism underlying FLS resistance in soybeans.

Soybean root rot, caused by diverse soil-borne pathogens, is a major constraint on production worldwide, with yield losses ranging from 10 to 60% under epidemic conditions. Symptomatic plants were collected from three locations in Harbin, Heilongjiang Province, China, and 23 fungal isolates were recovered using standard tissue isolation procedures. Integrated morphological characterization and rDNA-ITS sequencing identified these isolates as three Fusarium species: F. oxysporum (18 isolates, 78%), F. equiseti (3 isolates, 13%), and F. brachygibbosum (2 isolates, 9%). Pathogenicity assays following Koch’s postulates confirmed F. oxysporum as the predominant and most aggressive pathogen in this region. To identify resistance resources, 200 soybean germplasm accessions adapted to Northeast China were screened using an etiolated seedling hypocotyl inoculation method with Fusarium oxysporum isolate A3 (DSI = 68.5) as the test pathogen. Disease severity indices exhibited a continuous distribution (mean = 52.84, range = 0–100), suggesting quantitative inheritance. Accessions were classified as highly resistant (13, 6.5%), resistant (40, 20%), moderately susceptible (67, 33.5%), susceptible (43, 21.5%), or highly susceptible (37, 18.5%). To explore potential molecular mechanisms underlying resistance, RT-qPCR analysis was performed on two extreme genotypes—a highly resistant line (H9477F5, DSI = 15.3) and a highly susceptible line (HN91, DSI = 88.7) at 1, 3, and 5 days post-inoculation. The resistant line maintained consistently higher expression of positive regulators GmFER and GmSOD1, with GmFER reaching 15.89-fold induction at day 3. Conversely, expression of negative regulators GmJAZ1 and GmTAP1 remained lower in the resistant line, with susceptible plants showing 5.62-fold higher GmJAZ1 expression at day 3. These findings provide characterized pathogen isolates, resistant germplasm resources (53 accessions with HR or R classifications), and preliminary molecular insights that may inform breeding strategies for improving root rot resistance in Northeast China.

High-vigor soybean seeds can result in the rapid and uniform emergence of seeds under a wide range of field conditions. We aimed to explore the quantitative trait loci of seed vigor traits and superior allelic and carrier materials from the soybean in northeast China. A total of 257 improved lines and 104 soybean landraces were used to evaluate seed vigor, using normal seedling fresh weight, normal seedling length, main root length, hypocotyl length, and germination percentage, in 2018 and 2019. In this study, the different degrees of LD was detected not only among syntenic markers but also among nonsyntenic ones, suggesting that there had been historical recombination among linkage groups. A total of 19 and 10 simple sequence repeat (SSR) markers associated with seed vigor were detected in improved lines and soybean landraces in 2018 and 2019, respectively. Our results also showed five SSR markers co-associated with two or three vigor traits. In addition, 41 superior alleles and their carrier materials were mined. Based on the elite alleles detected, the best cross combinations for improving seed vigor traits were proposed. The results demonstrate that association mapping is a valuable foundation for molecular breeding for soybean seed vigor.

Climate change is intensifying environmental stresses, including drought, high temperature, and salinity, posing increasing challenges to plant growth and development. In addition to genetic variation, DNA methylation is an important epigenetic mechanism that regulates gene expression without altering the underlying DNA sequence through the addition of methyl groups to the fifth carbon of cytosine. Genome-wide dynamic changes in DNA methylation and demethylation at CG, CHG, and CHH sites contribute to the regulation of stress-responsive transcriptional networks, thereby shaping plant phenotypes and facilitating the establishment of stress memory. In recent years, advances in methylome profiling and molecular validation have shifted research from describing DNA methylation changes to elucidating their regulatory mechanisms. In this review, we summarize the molecular mechanisms underlying the establishment, maintenance, and removal of DNA methylation, with a particular focus on its dynamic changes and regulatory roles in plant responses to cold, heat, drought, and salt stresses. It also compares the characteristics of DNA methylation responses across different types of stress and discusses their potential molecular mechanisms. Overall, DNA methylation represents an important regulatory layer in plant responses to abiotic challenges, and its dynamic changes are closely associated with plant adaptation, providing new insights into the mechanisms underlying stress adaptation.