Search Results (1,192)

The use of fresh and dried figs has increased markedly in Tunisia in recent years, leading to a rise in public subsidies to support the further development of fig cultivation, especially in well-adapted production areas and with the adoption of innovative agronomic practices. This study aimed to carry out a comprehensive morphological and genetic characterization of fig germplasm from the Kesra region in north-western Tunisia, which is widely recognized for its long-standing tradition of fig production, in particular of the ‘Zidi’ cultivar. Field surveys and prospections enabled the identification of 26 distinct local fig cultivars, which were morphologically characterized and genotyped using 12 microsatellite (SSR) markers. All cultivars showed a specific allelic profile, including ‘Zidi’. The results provided valuable information for the conservation and management of Tunisian fig genetic resources. Moreover, the data will support the valorization of local fig production in the area through the establishment of the Protected Designation of Origin (PDO) ‘Fig of Kesra’, thereby contributing to the sustainable development of traditional orchards and the preservation of local agrobiodiversity. Full article

This study presents a genetic characterization and population structure analysis of an ancient Algerian collection of Citrus fruits, dating back to the colonial period of the early 1900s. Genetic diversity was assessed using eight Simple Sequence Repeat (SSR) markers, with the objective of accurately identifying their varieties and elucidating their genetic relationships, particularly in the absence of passport data and documented origins. A total of 96 accessions were analyzed. Instances of homonymy, synonymy, and labeling errors were detected. Observed heterozygosity ranged from 0.451 to 0.715, with a mean value of 0.54, while polymorphic information content (PIC) values varied between 0.225 (CCSM18) and 0.635 (TAA41). The genetic relationship patterns among the different Citrus groups were consistent with their botanical classification. Structureanalysis suggested differentiation between the pomelo–orange cluster and the lemon group, as well as between the mandarin and clementine groups. These results suggest thatAlgerian Citrus germplasm may represent a valuable and relatively underexplored resource for breeding programs, highlighting the importance of its proper characterization and conservation to prevent genetic erosion. Full article

Background/Objectives: Eleocharis ussuriensis Zinserl. is a perennial riparian sedge widely distributed in Northeast Asia and a dominant component of freshwater vegetation in South Korea. However, the intraspecific genetic structure of this species across contrasting hydrological habitats remains insufficiently understood. This study aimed to develop novel SSR markers from whole-genome data and investigate genetic variation and population structure among E. ussuriensis populations in South Korea. Methods: Twenty-one novel simple sequence repeat (SSR) markers were developed from whole-genome sequence data and applied to analyze genetic variation in 120 individuals from 6 populations. Genetic diversity, differentiation, and gene flow were estimated using allele-frequency-based metrics, and population genetic structure was further evaluated using spatial information derived from geographic coordinates. Results: A total of 201 alleles were detected, with a mean polymorphism information content (PIC) of 0.759, indicating high marker informativeness. Mean genetic diversity across populations showed observed heterozygosity (Ho = 0.360) and expected heterozygosity (He = 0.281), while multilocus genotype ratios (G/N) ranged from 0.30 to 1.00 among populations. Genetic differentiation was substantial (F_ST = 0.373–0.669; Jost’s D = 0.540–0.997). Mantel tests revealed that genetic differentiation was significantly correlated with geographic distance (r = 0.67, p < 0.001). Both allele-frequency-based and spatially explicit approaches suggested genetic structuring among populations. Conclusions: The results suggest spatial tendencies in genetic structure among populations, reflecting patterns of allele distribution across regions. These findings provide baseline information on genetic variation in E. ussuriensis and may contribute to a better understanding of its ecological dynamics. Full article

Cymbidium eburneum Lindl. is a valuable ornamental orchid and breeding parent, but its genetic background remains unclear due to habitat destruction and germplasm mixing. This study developed specific SSR markers to evaluate the genetic diversity and structure of 96 C. eburneum Lindl. accessions from China and Vietnam. Transcriptome analysis identified 47,248 SSR loci. Sixteen polymorphic core primer pairs detected 150 alleles (mean Na = 9.375) with an average Polymorphism Information Content (PIC) of 0.444. Observed heterozygosity (Ho = 0.290) was noticeably lower than expected (He = 0.478), indicating heterozygote deficiency. UPGMA clustering identified eight groups strongly correlated with geography. Principal Coordinate Analysis (PCoA) revealed a clear geographical differentiation pattern, featuring the most genetically cohesive group from Guangxi and more differentiated geographically marginal populations from Hainan and Vietnam. STRUCTURE analysis (K = 2) indicated two main gene pools with signals of genetic admixture. Geographical isolation was suggested as a potential driver of genetic differentiation. The Guangxi population represents a genetically consistent major reservoir, while marginal populations harbor unique variations. These findings provide a scientific basis for germplasm identification, conservation, and parental selection in C. eburneum Lindl. breeding. Full article

Domestication has profoundly shaped the phenotypic differentiation and genetic architecture of Perilla. However, analyses of the morphological difference between its cultivated and weedy forms across its varieties remains incomplete. This study analyzed morphological variation, genetic diversity, population structure, and marker–trait associations of 45 accessions representing the cultivated and weedy forms of two Perilla varieties (P. frutescens var. frutescens and var. crispa) collected from South Korea and Japan. Analyses of ten qualitative and quantitative agronomic traits revealed clear domestication-related differentiation. Cultivated var. frutescens showed larger and heavier seeds, whereas cultivated var. crispa and the weedy accessions were characterized by longer inflorescences and higher floret numbers but smaller seeds. Strong positive correlations were observed among seed-related traits, particularly between seed size and seed weight (r = 0.932), indicating coordinated selection of seed traits. Genetic diversity analysis using 70 SSR markers identified 330 alleles consistent with domestication bottlenecks in cultivated forms while higher diversity was generally retained in the weedy accessions. Population structure, UPGMA clustering, and principal coordinate analyses broadly differentiated the cultivated and weedy accessions, although partial admixture indicated shared ancestry and historical gene flow. Association mapping using Q-based GLM and Q + K MLM models identified 23 significant marker–trait associations involving 16 SSR markers consistently detected across both models. Several markers were associated with multiple traits, implying pleiotropy or tight genetic linkage. Notably, five SSR markers (KNUPF192, KNUPF202, KNUPF207, KNUPF230, and KNUPF238) may represent potential candidate loci for marker-assisted selection to improve seed-related traits in var. frutescens and leaf-related traits in var. crispa. Full article

Hordeum brevisubulatum ‘Mengnong No. 2’ is a new forage variety developed using traditional group selection breeding techniques. It features notable advantages in plant height, tillering capacity, and overall biomass yield. However, key molecular breeding techniques such as molecular marker identification and genetic manipulation have yet to be established for this variety, limiting improvements in important traits. Consequently, we assessed the biomass of ‘Mengnong No. 2’ against ‘Mengnong No. 1’, the most widely cultivated variety in the central and western regions of Inner Mongolia, China. We report that fresh forage, dry forage, and seed yields of ‘Mengnong No. 2’ increased by 20.6%, 31.78%, and 34.35%, respectively, compared with the control variety, indicating broad prospects for its application and promotion. To enable rapid identification of ‘Mengnong No. 2’ during its promotion and to prevent production losses caused by variety admixture, we used three screened SSR primer pairs (GST25, GST37, GST127) to construct a DNA fingerprint for five H. brevisubulatum varieties, including ‘Mengnong No. 2’. With the percentage of polymorphic bands exceeding 95%, these profiles enabled precise identification of the ‘Mengnong No. 2’ variety. Furthermore, callus regeneration in H. brevisubulatum represents a bottleneck for directed molecular breeding techniques such as genetic transformation and gene editing. Accordingly, we selected the inflorescences of ‘Mengnong No. 2’ as explants and investigated the callus induction and regeneration capacity of inflorescences at different developmental stages. We found that explants at the spikelet primordia differentiation stage exhibited the highest callus induction and regeneration efficiencies, reaching 62.7% and 72.8%, respectively. The resulting embryogenic callus lines can serve as recipients for Agrobacterium-mediated transformation or gene gun bombardment, facilitating the development of subsequent high-efficiency genetic transformation and gene-editing systems. The SSR-based variety identification system and the highly efficient regeneration technology using inflorescence-derived callus established in this study lay a solid foundation for the development of a molecular breeding system for ‘Mengnong No. 2’. Full article

Lactarius hatsudake is an ecologically and economically significant wild edible mushroom in southern China. To elucidate its population genetic diversity, differentiation, and evolutionary history, we analyzed 172 fruiting bodies from eight geographic populations (AQ, BS, DZ, JS, NC, PT, SG, YX) across seven provinces in the western and eastern regions of southern China using five highly polymorphic simple sequence repeat (SSR) markers. Combined with STRUCTURE clustering, discriminant analysis of principal components (DAPC), unweighted pair group method with arithmetic mean (UPGMA), and analysis of molecular variance (AMOVA), the results revealed high polymorphism across the studied loci (mean PIC = 0.842). A total of 75 alleles were identified, averaging 15 alleles per locus. At the population level, the mean effective number of alleles (Ne) was 4.023, and the mean unbiased gene diversity (uH) was 0.768. The NC population exhibited the highest genetic diversity (uH = 0.796), whereas the BS population showed relatively lower diversity (uH = 0.647). Clustering analyses (STRUCTURE, DAPC, and UPGMA) consistently identified two distinct genetic clusters (K = 2). Cluster I consisted of populations AQ, PT, BS, and SG, while Cluster II was composed of the remaining four populations. Notably, individuals from AQ and NC displayed significant genetic admixture, suggesting a transitional zone. AMOVA revealed that the majority of genetic variation (83%) resided within populations and 17% among populations. Moderate population differentiation (ENA-corrected global Fst = 0.102) and admixture signals suggest non-negligible connectivity among populations. Full article

Understanding the genetic diversity and population structure of Cucurbita species is essential for effective germplasm conservation and the development of improved cultivars. This study aimed to evaluate the genetic diversity, population structure, and genetic relationships among accessions of C. pepo, C. moschata and C. maxima and their interspecific hybrids (Tetsukabuto hybrid C. maxima × C. moschata). A total of 92 accessions were analyzed using 22 polymorphic simple sequence repeat (SSR) markers selected from previous studies due to their high polymorphic information content (PIC). Genetic diversity parameters were estimated, and population structure was inferred using Bayesian clustering, complemented by dendrogram and principal component analysis (PCA). All markers were successfully amplified in C. pepo, C. moschata, C. maxima, and the hybrids, with polymorphic information content (PIC) values ranging from 0.191 (CMTm232) to 0.448 (CMTm48) and average of 0.274. The AMOVA analysis showed that 50% of the total variation was attributed to differences both within and among groups. PCA revealed clear genetic differentiation among the analyzed species, with C. maxima and hybrid accessions clustering closely and exhibiting lower genetic dissimilarity. In contrast, C. pepo displayed greater genetic divergence, supporting its distinct evolutionary trajectory. According STRUCTURE analysis the accessions can be divided into four subpopulations, which are closely related to the species. PCA and dendrogram showed similar results for genetic structure of Cucurbita germplasm; C. maxima and hybrid accessions clustering closely and C. pepo as a distinct group. These findings provide valuable insights for breeding programs, germplasm management, and conservation strategies aimed at preserving genetic diversity and exploiting interspecific variation. Full article

Genetic diversity is fundamental for the conservation and sustainable utilization of plant species. Triadica cochinchinensis, a tree species native to southern China, is an important ornamental and nectar-producing plant with considerable economic value. However, the levels of genetic diversity and the patterns of population differentiation across its natural populations remain unexplored. Here, we developed 24 highly polymorphic SSR markers and used them to assess the genetic diversity and differentiation among 280 individuals collected from 10 natural populations of T. cochinchinensis. The results showed that the average expected heterozygosity (He) revealed by the SSR markers was 0.774, and the average Shannon diversity index (I) was 1.660, indicating a high level of genetic diversity at the species level of T. cochinchinensis. Analysis using SSR markers revealed a low average observed heterozygosity (Ho = 0.323) and a relatively high average inbreeding coefficient within populations (F = 0.466). These findings suggest that inbreeding is likely occurring, which may contribute to a loss of heterozygosity within the studied populations. Notably, not all populations had high genetic diversity. For example, the He of SC2 population (0.490), QY population (0.568), and SC1 population (0.585) were all below the mean He (0.607), suggesting that attention should be given to protecting populations with low genetic diversity. The results further showed that the average genetic differentiation coefficient (F_ST) between populations was 0.094, and the average gene flow (Nm) was 2.278, indicating that the natural populations of T. cochinchinensis had low genetic differentiation and relatively high gene flow. AMOVA indicated that 74% of the total variation was distributed within populations. Notably, populations SC1 and SC2 exhibited higher genetic differentiation from all others (F_ST > 0.1), which is likely attributed to mountain barriers restricting gene flow. Therefore, it is recommended to enhance in situ conservation efforts while also facilitating assisted gene flow, such as through artificial introduction. For the first time, this study reveals the genetic information of natural populations of T. cochinchinensis at the molecular level, thereby offering a valuable reference for the conservation and utilization of its germplasm resources. Full article

Background: Elaeagnus oxycarpa Schltdl. (Elaeagnaceae) is a vital sand-fixing tree species in the arid, semi-arid, and desert regions of China, holding significant ecological and economic value. However, its chloroplast (cp) genome has not been previously characterized. Results: In this study, we sequenced the complete cp genome of Elaeagnus oxycarpa using Illumina high-throughput sequencing technology. We performed de novo assembly, annotation, and comparative genomic and phylogenetic analyses with six other Elaeagnaceae species. The results revealed a typical quadripartite structure for the E. oxycarpa cp genome, with a total length of 150,567 bp and a GC content of 36.90%. Annotation identified 132 genes, comprising 86 protein-coding genes (PCGs), 38 tRNA genes, and 8 rRNA genes. Codon usage bias analysis indicated a preference for A/U endings, with leucine codons being the most frequent (9.5%). Additionally, 77 simple sequence repeat (SSR) loci were detected, predominantly mononucleotide repeats (71.4%). Comparative genomic analysis demonstrated high sequence conservation among the seven Elaeagnus species, with nucleotide variations primarily concentrated in non-coding regions and intergenic spacers of genes such as rps16, ycf1, and trnC-GCA. These variable regions and SSR loci represent valuable molecular markers for future population genetics and species identification studies on Elaeagnus. Phylogenetic analysis strongly supported the notion that E. oxycarpa and Elaeagnus angustifolia form a sister clade, indicating their close genetic relationship. Conclusions: Our findings provide crucial genomic resources and a theoretical foundation for the species identification and elucidation of the evolutionary history of Elaeagnaceae. Full article

To establish standardized DNA fingerprinting and molecular identification systems for mandarin citrus, we analyzed 69 mandarin accessions via fluorescent SSR capillary electrophoresis to construct DNA molecular fingerprints and unique molecular identity cards. Eighteen highly polymorphic SSR primer pairs were screened, yielding 239 genotype calls and 147 alleles. The number of amplified alleles per primer pair ranged from 4 to 18, with polymorphic information content (PIC) values varying from 0.411 to 0.650. Ten core primer pairs were further selected, achieving a discrimination rate of 65.2% (45 out of 69 accessions distinguished). Utilizing these fluorescent SSR markers, we established DNA molecular fingerprints and unique molecular identity cards for all 69 accessions. Among them, 45 accessions possessed unique fingerprints, whereas the remaining 24 indistinguishable accessions were clustered into six groups. Each cluster contained both wild (4 accessions total) and cultivated (20 accessions total) resources with high genetic similarity, which merits further investigation. This study provides a practical foundation for the authentication, conservation, and genetic relationship analysis of mandarin germplasm resources and establishes a technical framework for standardizing mandarin variety identification. Full article

Fungal diseases such as soybean stem canker (SSC), frogeye leaf spot (FLS), and sudden death syndrome (SDS) cause substantial yield losses in soybean worldwide. This study aimed to pyramid major resistance genes and QTLs against these diseases through marker-assisted backcrossing (MABC). Diagnostic SSR markers, linked to Rdm4 (SSC), Rcs3 (FLS), and SDS resistance QTLs, were validated and successfully employed for foreground and background selection in crosses between the elite cultivar A8100RR and the resistant donor ‘Forrest’. Molecular analyses confirmed the effective introgression and fixation of multiple resistance loci in BC₂F₅ lines. Under artificial inoculation, lines R30-11 and R25-13 displayed high resistance levels to Diaporthe aspalathi, Cercospora sojina, Fusarium virguliforme, and F. tucumaniae. Genotype R30-11 exhibited the most consistent resistance across pathogens, while R25-13 combined multi-disease resistance with glyphosate tolerance and stable agronomic performance under field conditions comparable to commercial cultivars. These results represent, to our knowledge, the first report of successful pyramiding genes and QTLs against three distinct fungal diseases (SSC, FLS, and SDS) in soybean through MABC. The developed lines constitute valuable germplasm for breeding programs designed to achieve broad-spectrum, durable and sustainable disease management. Full article

Sour cherry (Prunus cerasus L.) exhibits remarkable phenotypic and genetic diversity, historically classified into morello and amarelle groups based on fruit pigmentation. However, the genetic foundations of these categories remain unclear. Here, we combine 10 SSR loci with S-RNase genotyping to evaluate genetic diversity, phylogenetic relationships, and population structure across 27 Hungarian and internationally relevant sour cherry cultivars. The marker panel proved highly informative, yielding 78 SSR alleles and 17 S-alleles, with a multilocus probability of identity of 3.97 × 10⁻⁷. Phylogenetic reconstruction, minimum spanning networks, Bayesian clustering, and PCoA consistently resolved five genetically coherent groups that largely reflect known breeding histories and regional selection rather than fruit color classes. High- and low-anthocyanin cultivars frequently co-occurred within clades, demonstrating that pigmentation does not track genome-wide relatedness. To investigate proximate molecular mechanisms, we profiled flavonoid-pathway gene expression in contrasting accessions (VN-1 and ‘Pipacs 1’). VN-1 exhibited strong late-ripening induction of structural genes and MYB10, whereas ‘Pipacs 1’ showed attenuated late activation and higher early expression of ANR, LAR, and UFGT, suggesting divergent transcriptional regulation and pathway flux between the two genotypes. Together, these results indicate that fruit color variation is largely independent of the multilocus relatedness patterns captured by our marker set, and is likely influenced by lineage-specific regulatory differences. Full article

Hopea celebica Burck is an endangered dipterocarp endemic to Sulawesi, Indonesia, occurring in two ecologically contrasting habitats: karst and ultrabasic forests. These environments differ markedly in soil composition and topography, potentially driving ecological specialization and genetic divergence. To investigate the genetic variation and genetic structure of this species, we applied newly developed microsatellite (SSR) markers, together with the chloroplast DNA sequences of the trnL–trnF region. Genotypes at 15 SSR loci were determined for 255 individuals collected from six populations covering the range of the species’ distribution across karst and ultrabasic forests. Genetic diversity was consistently higher in karst than in ultrabasic populations. DIYABC and VarEff analyses revealed a historical bottleneck and earlier recovery in the karst populations. Analysis of molecular variance (AMOVA) revealed that 35% of the genetic variation was partitioned between habitat types (F_RT = 0.345, p = 0.001). Bayesian clustering (STRUCTURE), principal coordinate analysis (PCoA), and UPGMA dendrograms consistently showed two distinctive clusters corresponding to habitat type. Chloroplast haplotypes differed between populations in the karst and ultrabasic forests. These results suggest that populations in the karst and ultrabasic forests have undergone a long history of differentiation without migration. The strong habitat-related genetic structure likely reflects ecological isolation and early-stage speciation. We recommend treating the karst and ultrabasic populations as distinct conservation units to preserve the evolutionary potential and adaptive capacity of H. celebica under ongoing environmental change. Full article

The raspberry (Rubus idaeus L.), an economically important crop, is affected by the crumbly fruit disorder, a malformation that leads to fruit disintegration at harvest due to poor drupelet cohesion. Despite previous efforts to identify genetic determinants of this phenotype, its complex inheritance and strong environmental component have limited the development of robust predictive markers. This study assessed the behavior and transferability of previously reported SSR and SNP markers associated with crumbly fruit across plants from a diverse panel of 34 R. idaeus cultivars, including in adjacent genomic regions not screened previously. Phenotyping was based on multi-season fruit performance and drupelet cohesion, and genetic variation was analysed using PCR-based genotyping within a multilocus approach. Consistent clustering patterns were observed across multiple SSR and SNP loci, suggesting a reproducible association between these genomic regions and the crumbly phenotype. Overall, the results support a multilocus genetic architecture underlying crumbly fruit, but also demonstrate that previously reported markers are not universally transferable across genetic backgrounds. These findings highlight the importance of integrated, population-aware marker validation to enable more reliable implementation of marker-assisted strategies in raspberry breeding programs. Full article