Pod dehiscence, also known as pod shattering, is the process by which mature pods open and release their seeds at physiological maturity. In vegetable soybean (Glycine max L.), premature seed release from mature pods is a major cause of yield loss during seed production. As pod dehiscence occurs within the dehiscence zone, understanding the physiological mechanisms governing its formation and degradation is essential. To investigate these mechanisms, we compared the activities of pectinase, polygalacturonase (PG), cellulase, indole-3-acetic acid (IAA), gibberellin (GA), abscisic acid (ABA) and zeatin (ZA) in the pod ventral sutures of dehiscent vegetable soybean and indehiscent grain soybeans. The ventral sutures of dehiscent vegetable soybean exhibited significantly higher activities of pectinase, polygalacturonase, and cellulase, but lower concentrations of IAA and GA than those of indehiscent grain soybean. Reduced levels of IAA and GA in the dehiscence zone were associated with increased activities of cellulase, pectinase, and polygalacturonase activities, which may accelerate cell wall degradation and promote lignification, thereby promoting pod dehiscence.
Genetic diversity of plant genetic resources provides the foundation for breeding programmes aimed at developing high-yielding rice varieties with tolerance to biotic and abiotic stresses. Given the abundance of available genetic resources, efficient approaches for their characterisation are essential. In this study, 182 Malaysian rice accessions representing different maturity groups were characterised using 20 polymorphic simple sequence repeat (SSR) markers. The analysis identified 183 alleles, ranging from two (RM507) to 22 (RM154), with an average of 9.15 alleles per locus. Observed and expected heterozygosity ranged from 0.000 to 0.506 and 0.319 to 0.864, respectively. Polymorphism information content (PIC) values ranged from 0.2744 (RM495) to 0.8475 (RM154), with an average of 0.6216 per locus. Unweighted pair group method with arithmetic mean (UPGMA) analysis revealed two major groups. In general, the accessions were clustered according to their adaptive ecosystem type, with most lowland varieties, including lowland breeding lines (92.4%), assigned to Group I, whereas most upland varieties (86.7%) belonged to Group II. This grouping pattern was supported by STRUCTURE analysis, which identified K = 2 as the optimal number of clusters, indicating that the studied accessions were structured into two major genetic groups. Principal coordinate analysis (PCoA) further supported this grouping pattern, with the first three axes explaining 39.63% of the total variation. Analysis of molecular variance (AMOVA) showed that 31% of the total variation occurred among populations, 63% among accessions, and 6% within accessions. The results also indicated the possible presence of duplicate accessions within the collection. This study provides valuable insights for future breeding programmes aimed at developing high-yielding rice varieties with a broad genetic base and supports the effective management and conservation of rice genetic resources.
Drought is a significant factor limiting the growth and early establishment of caraway (Carum carvi L.), a valuable medicinal and aromatic plant. In this study, polyethylene glycol (PEG-6000)-induced osmotic stress assays were combined with statistical and machine learning (ML) approaches to assess early drought responses in five caraway cultivars and breeding materials. Seeds were subjected to four PEG concentrations (0, 5, 10 and 15 %), and key germination and seedling height (SH), shoot fresh weight (SFW), and shoot dry weight (SDW), were measured. Higher PEG levels caused a sharp, accession-dependent decline in all traits, with germination dropping by 68 % at a 15 % PEG. Cultivars Aprim and H1b2/12 consistently showed better germination, shoot height, and biomass retention across stress levels, while Aklei exhibited lower germination but relatively stronger root growth, suggesting a differential adaptive response under osmotic stress. A linear model (LM) incorporating PEG concentration, accession, and their interaction served as the primary interpretable framework, explaining a large proportion of trait variation (R2 = 0.81-0.94). Principal component analysis (PCA) and correlation analyses further revealed coordinated responses among biomass-related traits and differentiation in early-stage stress responses among accessions. Traditional ML models (MLP and SVR) were compared with quantum-inspired architectures (QiMLP and QiSVR); the quantum-inspired models showed comparable predictive performance in this dataset for certain traits, with QiMLP achieving the highest overall accuracy (R2 = 0.88-0.94). This study presents an integrated phenotyping framework combining controlled stress assays with interpretable statistical modelling to evaluate early growth responses to PEG-induced drought stress in caraway. Overall, the results highlight accession-specific differences in early
Nitrogen (N) is essential for crop productivity, yet excessive fertilisation decreases the nitrogen use efficiency and increases the environmental risks. Despite the economic and medicinal importance of the shallot, its molecular response to N deficiency remains unclear. We performed transcriptome profiling of two cultivars (Bima-0 and Bima 1) under N deficient and N-sufficient conditions. The RNA sequencing identified 438 differentially expressed genes (DEGs). The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed significant modulation of the nitrogen metabolism, amino acid biosynthesis, glutathione metabolism, and stress responses pathways, indicating coordinated metabolic reprogramming under N limitation. The cultivar-specific expression patterns suggested differential adaptive strategies. The quantitative real-time polymerase chain reaction (qRT-PCR) validation of fifteen DEGs confirmed the reliability of the RNA-Seq results. The nitrogen deficiency predominantly repressed the photosynthetic and growth-linked genes while activating the stress-responsive pathways. These findings provide the first transcriptome-level insights into the N deficiency responses in shallots and identify candidate genes and pathways for improving the nitrogen use efficiency (NUE) and developing the sustainable fertiliser management of Allium crops.
Caraway (Carum carvi L.) is an economically important spice and medicinal crop valued for its essential oil composition, particularly its high content of carvone and limonene. Despite its commercial relevance, compared with that of other Apiaceae species, the development of genomic resources remains limited. Molecular research has progressed from early dominant marker systems, including random amplified polymorphic DNA (RAPD) and inter simple sequence repeat (ISSR), to more recent SNP-based genotyping approaches that clarify population structure and flowering-type differentiation. However, key genomic resources, such as simple sequence repeat (SSR) markers, a high-quality reference genome, quantitative trait locus (QTL) mapping, genome-wide association studies (GWAS), and transcriptomic datasets, are still lacking. This review synthesises current knowledge on molecular marker applications in caraway and identifies major gaps limiting breeding progress. Evidence from related Apiaceae species indicates that systematic SSR development and integration of genome-based tools can substantially enhance breeding efficiency. Particular emphasis is placed on a phased strategy for SSR development in caraway, positioned as complementary to single-nucleotide polymorphism (SNP)-based approaches within a progressive genome-enabled breeding framework. Strengthening the molecular infrastructure of caraway will support precision breeding aimed at improving yield stability, essential oil quality, and environmental adaptability.
The genetic characterisation of naturally occurring almond genotypes can guide the selection of genetic resources to be used in the breeding programme. Therefore, this study aims to assess the genetic diversity and population structure of almond germplasm comprising 50 accessions naturally occurring in Van, T & uuml;rkiye, along with two commercial varieties (Pabu & ccedil; and Dokuzo & gbreve;uz). Thirteen inter-primer binding site (iPBS) retrotransposon markers generated a total of 102 bands, of which 95 were polymorphic. The average polymorphic band number per marker was 7.3, with a range of 5 to 13. A formula yielding a maximum of 0.5 resulted in polymorphic information content (PIC) values between 0.27 and 0.43, with a mean value of 0.36. Unweighted pair group method algorithm (UPGMA), principal coordinate analysis (PCoA), and STRUCTURE analysis, based on Bayesian clustering analysis, yielded consistent results, indicating that local populations (Akdamar and & Ccedil;arpanak) were distinctly grouped, while commercial accessions were clustered with & Ccedil;arpanak accessions. The diversity metrics and classification analysis utilising 13 iPBS-retrotransposon markers demonstrated that the iPBS-retrotransposon marker system possesses significant promise for evaluating the genetic variety and population structure of almonds.
Assessing of genetic diversity is essential for identifying useful alleles for crop improvement. This study evaluated genetic diversity among two cassava breeding populations for total carotenoid content (TCC), dry matter content (DMC), and hydrogen cyanide (HCN) concentration using trait-linked single nucleotide polymorphism (SNP) markers. A total of 360 genotypes were analysed, including 261 from the IITA breeding programme (Population 1), 23 progenitor lines, and 76 from the University of Ibadan Cassava (UIC) breeding programme (Population 2). Minor allele frequency (MAF), gene diversity (GD), observed heterozygosity (He), and polymorphic information content (PIC) were computed. Principal component analysis (PCA) and hierarchical clustering were performed to examine genetic variation and population structure. Call rates were high (96-100%). MAF ranged from 0.00 to 0.50, with mean values of 0.28, 0.28, and 0.29 for Population 1, Population 2, and progenitors, respectively. GD averaged 0.36, 0.36, and 0.35 across these groups. Observed heterozygosity was 0.42, 0.41, and 0.43, while PIC values averaged 0.29, 0.27, and 0.27 for Population 1, Population 2, and progenitors, respectively. PCA and clustering analyses grouped the genotypes into three clusters containing 257, 88, and 15 genotypes. The first two principal components explained 39.1% of the total genetic variation. The results indicate substantial genetic diversity among the studied genotypes, suggesting strong potential for allele pyramiding and highlighting the informativeness of the SNP markers used.
Soil salinity is a major environmental constraint that limits the growth and productivity of peanut (Arachis hypogaea L.), a legume adapted to mildly acidic soils but highly sensitive to saline-alkaline conditions. Dehydration-Responsive Element Binding (DREB) transcription factors are key regulators of plant responses to abiotic stresses. In this study, the AhDREB gene from peanut was introduced into tobacco (Nicotiana tabacum) to examine its functional role under salt stress. The transgenic lines (L32.2 and L37.2) exhibited strong induction of AhDREB expression upon exposure to 150 and 250 mM NaCl, with transcript levels increasing up to 2.34-fold compared with untreated controls (P < 0.001). Quantitative RT-PCR analysis revealed that AhDREB enhanced the transcription of two osmolyte-related genes, NtP5CS and NtSUSY. Under saline conditions, the expression of these genes was 1.20-1.89-fold higher in transgenic lines than in wild-type (WT) plants and 4.74-7.66-fold higher than in non-stress conditions (P < 0.001). Consistently, both lines accumulated greater amounts of proline and soluble sugars, showing 2.09-2.30-fold and 2.40-4.70-fold increases, respectively, compared with the WT. Relative to non-stress conditions, proline and sugar contents increased by 3.59-5.47 fold and 3.75-7.65-fold, respectively. Line L37.2 accumulated higher proline levels, whereas L32.2 exhibited greater sugar content, indicating distinct osmolyte regulation patterns. Overall, the AhDREB gene enhances salt tolerance in tobacco by transcriptionally activating osmolyte biosynthetic pathways and improving cellular osmotic adjustment, providing molecular evidence for its potential application in developing stress-tolerant peanut cultivars.
Tea (Camellia sinensis (L.) Kuntze) isa globally important crop valued for its flavour diversity and health benefits. Whole-genome sequencing (WGS) was performed to compare genomic variation and functional potential between clone Yabukita and locally adapted clone I.1.93. Using next-generation sequencing, approximately 10x genome coverage was achieved for both clones, with high mapping efficiency (98.24% for Yabukita and 97.88% for clone I.1.93), ensuring reliable downstream analyses. Single nucleotide polymorphism (SNP) analysis revealed distinct genomic patterns, with Yabukita showing a more uniform chromosomal SNP distribution, while clone I.1.93 exhibited higher SNP densities on specific chromosomes, particularly chromosomes 5 and 13. Silent mutations predominated in Yabukita (48.21%), whereas missense mutations were more frequent in clone I.1.93 (57.97%), suggesting greater functional divergence. Most SNPs occurred in non-coding regions, indicating potential regulatory roles. GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed highly similar shared pathways, including photosynthesis and protein interactions, alongside clone-specific enrichment related to photosynthesis in Yabukita and stress responses in clone I.1.93. miRNA profiling identified distinct regulatory patterns, including the clone-specific miR530 in clone I.1.93. Biosynthetic gene cluster analysis further predicted secondary metabolite pathways associated with terpenoid, polyketide, and saccharide biosynthesis. These findings provide valuable genomic insights for tea improvement and breeding programs.
High-throughput molecular technology DArTseq generates markers for potential use in molecular breeding of crops. Using DArTseq, we analysed a comprehensive set of 333 European potato varieties reflecting the outcomes of long-term breeding history and representing a potential germplasm for future breeding of potatoes in the Central European region. The varieties were classified according to four factors: region of origin, breeder, earliness and utilisation mode, that may potentially reflect their genetic structure, and for which complete data were publicly available. The DArTseq analysis was performed by the service centre, the Diversity Array Technology (University of Canberra), which generated approximately 38 000 silicoDArT and 64 000 SNP (single nucleotide polymorphism) polymorphic markers. The discriminatory ability of the markers in relation to the factors was confirmed using neighbour-joining and principal coordinate analysis (PCoA), while the informativeness was assessed using the discriminant analysis of principal components (DAPC). The analyses identified the 50 SNPs most strongly associated with each factor, along with their highly probable chromosomal localisation. Herein presented research contributes to the evaluation of potato genetic resources by adding the novel molecular data of active germplasm and implies their future utilisation in genome wide association studies and marker assisted selection.
The need of vernalisation, controlled by the gene VRN-1, impacts wheat adaptation and yield stability, yet field evidence on the plasticity of VRN-1 homoeologs expression is limited. We quantified VRN-1 homoeolog dynamics across two sites and two seasons in seven cultivars, by sampling their apex and leaf. VRN-A1 varied with genotype (P < 0.001***), tissue (apex > leaf; P < 0.001***), apex development (P < 0.001***), day length (P < 0.001***), and to a lesser extent, on short-term freezing exposure, quantified as a 5-day freezing-degree sum (FDS; P = 0.019*). Photoperiod class (Ppd-D1a vs Ppd-D1b) added an additional effect (P = 0.001***). VRN-B1 showed strong genotype effects (P < 0.001***), a modest effect of site on its expression (P = 0.025*), and pronounced associations with microclimate variables (day length, thermal sums, freezing exposure; all P < 0.001***). Directionally, Ppd-D1a backgrounds tended to advance the development while showing earlier apex VRN-A1 peaks. Overall, VRN-A1 expression mainly reflected developmental stage and seasonal forcing, whereas VRN-B1 might be more microclimate-responsive, indicating complementary roles for timing and stress-response plasticity. To isolate causal effects and to further explain these dynamics, targeted sequencing and tests in near-isogenic lines will be needed in future work.
The genus Solanum comprises numerous wild and cultivated species that are important for potato breeding. This pilot-scale study aimed to evaluate the genetic diversity in 44 accessions from Solanum sect. Petota, comprising wild species, Andean landraces, and modern cultivars, obtained from the Potato Research Institute Havli & ccaron;k & uacute;v Brod, Ltd. and the Department of Crop Sciences and Agroforestry at the Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague. Nuclear microsatellite markers (SSR, 29 loci) were applied via five multiplex PCR reactions and analysed using capillary electrophoresis. Binary data matrices were analysed using DARwin software to generate dendrograms reflecting allelic polymorphism. The SSR panel effectively differentiated cultivated accessions from wild types, consistent with the current taxonomy of the genus Solanum, with particularly clear clustering of Andean landraces and modern varieties. However, resolution among wild accessions was limited, likely due to their high genetic complexity and interspecific overlap. These results support the suitability of the SSR panel for analysing diversity in cultivated potatoes. while also highlighting the challenges in resolving wild Solanum taxa. This study contributes to germplasm characterisation and provides a molecular basis for future breeding programmes.
Leaf rust is an important wheat disease that considerably reduces the wheat production in most wheat growing regions worldwide. This study aimed to identify leaf rust resistance genes in 42 wheat varieties to find genetic sources with the broadest spectrum of resistance against leaf rust pathotypes, to enable effective breeding for disease resistance. In this study, 42 wheat cultivars were inoculated with 18 pathotypes of Puccinia triticina Eriks. at the seedling stage to postulate the Lr genes in the cultivars. Resistance to leaf rust at the adult stage was then tested in field trials under natural infection during the 2019 to 2020 cropping seasons at Baoding, Hebei Province. Gene postulation and Lr46) among the 42 accessions. Lr1 was present in 16 accessions, Lr14a in three accessions, Lr17 in five accessions, Lr2a in five accessions, Lr34 in one accession, Lr10 in two accessions, Lr37 in two accessions and Lr46 in 29 accessions. Additionally, 15 wheat accessions displayed adult-plant resistance or other unknown genes. These results suggest that a high level of leaf rust resistance can be achieved by combining known resistance genes and adult-plant resistance genes in wheat cultivars.
Ascochyta blight, caused by a complex of pathogenic fungi including Didymella pinodes, Ascochyta pisi, and Phoma pinodella, is a major disease of field pea (Pisum sativum), causing severe losses through lesions on leaves, stems, and pods. Mutation breeding using gamma irradiation is a non-GMO strategy to induce genetic variation and accelerate the development of improved genotypes. In this study, the M2 generation of the forage pea cultivar Dodoni (Pisum sativum L. var. arvense), derived from M0 seeds irradiated with 100 Gy, was evaluated for tolerance to D. pinodes (CBS 251.47) using a detached-leaf assay under controlled greenhouse conditions. Disease progression was quantified via image-based analysis on the 3rd and 5th days post-infection, calculating diseased area and disease severity index. Extensive phenotypic evaluation was also conducted on 16 families in the greenhouse and 100 families under field conditions, using an augmented incomplete block design. Screening revealed several M2 families with significantly improved tolerance compared to non-irradiated controls. Among these, some individuals combined enhanced resistance with improved yield-related traits, such as higher pod number and biomass, while others exhibited reduced agronomic performance. These findings highlight the phenotypic diversity induced by gamma irradiation and demonstrate the potential to generate dual-purpose pea genotypes with both disease resistance and enhanced productivity, providing valuable material for future breeding of resilient cultivars.
Diagnostic morphological traits distinguishing Tilia cordata and T platyphyllos are not always apparent. Precise species identification is crucial for conservation management and for establishing genetic resources of forest reproductive material. In this study, we employed fifteen microsatellite (SSR) markers to identify diagnostic loci for reliable species discrimination between T cordata and T platyphyllos species and to evaluate the genetic diversity. A total of 250 trees were sampled from eight natural autochthonous populations of T cordata and T platyphyllos in the Czech Republic, and additional ten individuals of T tomentosa were included for comparison. Markers Tc8 and Tc918 were identified as diagnostic, exhibiting species-specific alleles for T cordata and T platyphyllos. Contrary to the previously published results, we obtained PCR amplicons at locus Tc918 with an allele size of 226 bp in T cordata. An analysis of the fifteen SSR loci revealed a high level of genetic variability in both the T cordata and T platyphyllos populations. No clonally identical genotypes were detected across the eight study sites. The genetic differentiation (Fst) was higher between T platyphyllos and T tomentosa (0.316) than between T platyphyllos and T cordata (0.205). Bayesian clustering further revealed distinct genetic structures for T cordata, T platyphyllos, and T tomentosa.
Solanum commersonii shows tolerance to low temperatures, a key target trait for potato breeding. Calciumdependent protein kinases (CIPKs) play a significant role in plant defence response to several stresses, including cold. In this study, we observed the expression of ScCIPK1, ScCIPK3, ScCIPK23 and ScCIPK24 in S. commersonii exposed to 4 degrees C at multiple time intervals. Initial findings revealed that these genes were under-expressed after 10 and 30 minutes of cold stress, except ScCIPK3. Notably, after 24 hours, all genes displayed higher expression levels compared to the non-stressed controls. These findings highlight the role of ScCIPK3 in the early stages of cold response and indicate a coordinated regulatory mechanism across CIPKs that likely contributes to the cold stress tolerance observed in S. commersonii. In this work, we introduce a model to elucidate the signalling crosstalk under cold stress in S. commersonii, providing insights that could facilitate the development of cold-resistant potato cultivars.
