Search Results (1,440)

Soybean is an important global crop used for oil, food, and feed production. To increase yield and land-use efficiency, growers often plant soybean at a high density or use intercropping systems. Under these systems, soybeans frequently experience shade stress, which directly affects agronomic traits such as plant height. Although researchers have well documented the genetic basis of plant height under normal conditions, the loci responsible for height variation under shade stress remain largely unexplored. Therefore, we performed a restricted two-stage multi-locus multi-allele genome-wide association study (RTM-GWAS) using SNP linkage disequilibrium block (SNPLDB) markers to identify QTLs associated with soybean plant height under shade stress. We evaluated a natural population of 181 soybean accessions for plant height traits under both normal and shaded conditions across four environments for three years. Using the Soybean40K chip, we derived 11,463 SNPLDB markers and identified 42, 33, and 28 significant SNPLDBs associated with plant height, average internode length, and number of main-stem nodes, respectively. For each SNPLDB, we estimated haplotype (allele) effects and assembled QTL–allele matrices to summarize the population’s genetic composition. Four SNPLDB loci proved stable across multiple environments, exhibiting high −lg(p) values and explaining substantial phenotypic variation. Finally, we projected that 80 candidate genes resided within 180 kb of these stable loci, and we identified four strong candidate genes linked to plant height traits based on combined positional and functional evidence. These results clarify genetic factors that influence soybean height under shading and could aid development of high-yielding soybean varieties. Full article

Climate change is intensifying soil salinization, posing a major threat to crop establishment and productivity, particularly in arid and semi-arid regions. Barley (Hordeum vulgare L.), one of the most salt-tolerant cereals, offers valuable genetic resources for improving salinity resilience at early growth stages. This study exploited the genetic diversity of the Nested Association Mapping (NAM) population Halle Exotic Barley-25 (HEB-25) to dissect salinity tolerance during germination and seedling developmental stages. First, the HEB-25 parental lines (25 wild barley genotypes and cv. Barke) were evaluated under salinity treatment to identify contrasting responses. Based on this screening, four HEB families (01, 04, 09, and 22) were selected out of 25 HEB families for detailed phenotypic and genomic analysis. Seeds of the selected HEB families were subjected to 40% seawater salinity stress and control treatments to assess germination percentage and seedling traits, including shoot length, root length, fresh weight (FW), dry weight (DW), DW/FW ratio, root–shoot ratio, and salt tolerance index (STI). Substantial variation was observed among families for all measured traits under salinity stress. STI values enabled clear differentiation among families: Family 01 exhibited the most consistent overall tolerance profile, Family 22 showed the strongest sensitivity in biomass traits, and Family 04 displayed a trait-specific response with sensitivity at the family-mean level but exceptional within-family diversity, harboring some of the highest individual TI values across the population. A genome-wide association study was conducted using 32,995 SNP markers. A total of 27 significant SNPs were identified, corresponding to 20 quantitative trait loci (QTLs). Of these, 12 QTLs were detected under control conditions, 16 under seawater treatment, and 21 based on tolerance indices, indicating both constitutive and stress-responsive genetic effects. Gene annotation within these regions revealed approximately 23 candidate genes associated with abiotic stress tolerance, including genes involved in ion transport, osmotic adjustment, kinases and stress signaling pathways. HEB_22_003, HEB_04_087, and HEB_01_013 represent the most promising genotypes for salinity breeding. These findings highlight the effectiveness of combining precise phenotyping with high-resolution genomic analysis in the HEB-25 population to uncover the genetic architecture of salinity tolerance at early developmental stages. We identified 20 salinity-responsive QTLs, including five major-effect loci on chromosomes 2H, 4H, 5H, and 7H that consistently explained the largest share of phenotypic variation. These loci co-localized with candidate genes linked to ion homeostasis, Ca²⁺-mediated signaling, protein glycosylation, epigenetic regulation, and root system plasticity, revealing key mechanisms underlying early-stage salt adaptation in barley. The strong and contrasting responses of Family 01 and Family 04 provide an excellent genetic framework for functional validation of tolerance alleles. Collectively, these genomic resources establish a robust foundation for QTL pyramiding, marker-assisted breeding, and the development of climate-resilient barley cultivars for saline agroecosystems. Full article

Indigenous goat populations are valuable genetic resources for livestock production in arid and semi-arid environments, yet many remain insufficiently characterized at the phenotypic and genomic levels. This study investigated phenotypic variation and genome-wide associations in two local Ardi goat lines in Bahrain: Ardi Bahraini and Ardi Mu’atar, the latter being distinguished by a characteristic facial marking pattern. A total of 280 goats were phenotypically characterized for qualitative traits and body measurements, and 76 animals were genotyped using the Illumina Caprine 60K single nucleotide polymorphism (SNP) BeadChip. After quality control, 49,716 autosomal SNPs were retained for genome-wide association analysis. Phenotypic analysis showed that the two lines differed significantly in body weight, body length, hip height, face width, tail length, ear width, and tail circumference, while discriminant analysis identified tail length, ear width, tail circumference, and facial patterns differentiating the lines. Principal component analysis (PCA) showed partial genomic clustering of the two lines, and genome-wide significant and suggestive SNPs based on Bonferroni and false discovery rate (FDR) thresholds on chromosomes 6, 13, 14, and 29. The strongest association was observed for rs268277393 on chromosome 13, located near DOK5 (Docking Protein 5) and TRNAC-GCA (transfer RNA cysteine, anticodon GCA), and was associated with the Ardi Mu’atar facial pattern. Additional candidate regions were located near genes with possible roles in pigmentation, development, or morphological variation. These findings provide preliminary genomic evidence supporting the phenotypic distinctiveness of Ardi Mu’atar goats and identify candidate markers that may contribute to future conservation and breeding programs. Further validation in larger populations and functional studies will be required to confirm the biological role of these candidate regions. Full article

Rapeseed is a major source of vegetable oil and contains a wide variety of metabolites. Recent advances, particularly the integration of metabolomics with other omics approaches, have enabled not only comprehensive but also detailed analyses of key metabolites that respond to specific conditions. To date, these recent advances in the metabolomics of Brassica crops have not yet been fully clarified. In this review, we seek to summarize the recent progresses in metabolomics studies of Brassica rapa, B. napus and B. juncea, introduce the key metabolites spanning nucleic acids, amino acids, fatty acids, lipids, organic acids, alkaloids, phenylpropanoids, terpenoids, flavonoids and glucosinolates uncovered by this approach, focusing on those associated with growth and development, and abiotic/biotic stresses, including macronutrient availability, temperature, water stress, salt stress, aluminum and cadmium toxicity, and infection of Sclerotinia sclerotiorum, Leptosphaeria maculans, and Plasmodiophora brassicae. Future perspectives and current challenges in metabolomics integrating with other omics are also discussed, along with its potential for breeding applications, especially in new marker discovery, trait prediction, and even metabolic selection, aimed at developing new rapeseed varieties with stable, high-yielding, and quality traits. Full article

Macrobrachium nipponense is an economically important freshwater prawn species in China, where larger individuals have higher commercial value than smaller ones. Previous studies indicated that bestrophin 3 (BEST3) may play a regulatory role in the growth performance of this species. Therefore, the present study investigated the potential functions of the BEST3 gene in the growth of M. nipponense by using quantitative real-time PCR (qPCR) and RNA interference (RNAi), and also searched for growth-related single-nucleotide polymorphisms (SNPs) within this gene. qPCR results revealed that Mn-BEST3 expression was widely detected across all tested tissues, suggesting that this gene may serve multiple functions in M. nipponense. Notably, its highest expression was observed in muscle tissue, which was significantly greater than that in all other tested tissues (p < 0.05), implicating a potential role for this gene in growth regulation. Further qPCR analysis confirmed that the synthesized dsBEST3 effectively reduced Mn-BEST3 expression. The body mass gain percentage in the dsBEST3-injected group was significantly lower than that in the dsGFP-injected control group, with differences becoming significant from Day 12 onward in both males and females (p < 0.05). These findings indicate that Mn-BEST3 plays a positive role in regulating growth in M. nipponense. Finally, three SNPs were identified in the coding region of this gene. The associations of these three SNPs with growth performance, including body weight and total length, were further validated using 50 male and 50 female prawns derived from a full-sib family at approximately 5 months post-hatching. Among them, one SNP (S31_23192836) was found to be associated with growth performance in both male prawns and female prawns. Overall, this study confirmed the positive regulatory role of BEST3 in the growth of M. nipponense and identified growth-related SNPs within this gene. These results improve our understanding of the molecular mechanisms underlying growth regulation and support the production of populations with superior growth traits through marker-assisted selection. Full article

Background/Objectives: Popcorn (Zea mays L. var. everta) is an important specialty maize type; however, the genetic variation underlying popping-related quality traits remains insufficiently characterized in breeding. Methods: In this study, 18 popcorn inbred lines were analyzed using 25 simple sequence repeat (SSR) markers distributed across all 10 maize chromosomes, and 16 lines were further evaluated for popping performance and image-based flake morphology. Results: Substantial phenotypic variation was observed among the tested lines, with expansion volume ranging from 173.33 to 343.33 mL and expandability ranging from 16.79- to 32.46-fold. Image-based analysis of 957 popped kernels revealed continuous variation in flake circularity, indicating that flake morphology represents a quantitative trait rather than a strictly discrete classification. SSR analysis detected 2 to 11 alleles per locus, with polymorphism information content values ranging from 0.05 to 0.85, indicating moderate-to-high genetic diversity among the tested lines. Principal component analysis (PCA), unweighted pair group method with arithmetic mean (UPGMA) clustering, and population structure analysis revealed clear genetic differentiation and heterogeneous genetic backgrounds within the germplasm collection. Marker–trait association analysis identified several putative SSR loci associated with expansion efficiency, flake morphology, pericarp retention, and popping dynamics. Notably, marker M18 was putatively associated with both expansion volume and expandability. Conclusions: Based on these results, a conceptual framework was proposed in which popping-related traits were organized into partially independent but interconnected functional modules. Overall, this study provides SSR-based genetic information for popcorn germplasm characterization and offers preliminary marker resources for quality-oriented popcorn breeding. Full article

Early and late leaf spot (ELS and LLS), caused by Passalora arachidicola and Nothopassalora personata, are major constraints to peanut (Arachis hypogaea L.) production. Durable resistance in cultivated germplasm remains limited due to the crop’s narrow genetic base. Wild Arachis species represent an important but underutilized source of resistance. This study aimed to identify and prioritize wild introgressions associated with foliar disease resistance in advanced peanut backcross lines derived from the induced allotetraploid BatSten1 (Arachis batizocoi × A. stenosperma)^4x. A population of advanced backcross lines carrying reduced wild genome content (~5% to ~1% across advancement) was evaluated through four years of field trials for LLS severity and yield, complemented by detached-leaf bioassays to dissect resistance components for both ELS and LLS. Genome-wide SNP genotyping, combined with mixed-model analysis and association mapping, identified introgressed regions influencing disease response. Genome-wide association studies (GWAS) detected loci on chromosomes A06 and A09 associated with LLS resistance, explaining approximately 25% and 11% of phenotypic variation, respectively, with evidence of additive effects between loci. Component-level analyses further revealed both resistance- and susceptibility-associated introgressions. Although tomato spotted wilt virus (TSWV) incidence was evaluated in field trials, exploratory GWAS did not detect significant marker–trait associations, indicating that genetic components associated with this trait were not resolved under the conditions tested. Overall, these results expand the understanding of the genetic architecture of leaf spot resistance beyond traditional donor sources and provide a framework for prioritizing beneficial wild introgressions while minimizing linkage drag in peanut pre-breeding programs. Full article

To investigate the association between polymorphisms in the GABRA5, SOX13, and AGL genes and growth traits in Dongfeng sika deer and to identify potential molecular markers for breeding, this study was conducted based on prior genome-wide association analysis. Based on the previous GWAS analysis of 266 Dongfeng sika deer, the SNP loci of GABRA5, SOX13, and AGL genes were detected in 36 male deer samples. The genetic parameters were calculated, and an association analysis with growth traits was carried out. Phenotypic analysis indicated that body weight and chest circumference had higher coefficients of variation than other growth traits, and body weight showed a strong positive correlation with body-slant length (r = 0.743, p < 0.01) and a moderate correlation with chest circumference (r = 0.709). A total of six SNP loci were identified, including three within GABRA5 (Chr13-8442730, Chr13-9033380, and Chr13-9045819), one within SOX13 (Chr14-5681678), and two within AGL (Chr20-66603370 and Chr20-66618510). The dominant genotypes at these loci include CG (CC), AA, CG, CC (CG), AA, and GG (GC). Linkage disequilibrium analysis revealed a relatively strong association between Chr13-8442730 and Chr13-903380 on chromosome 13. Combined genotype analysis showed that diplotype CCCGGC was associated with higher body weight and larger chest circumference than other genotype combinations. Gene expression analysis showed that the relative expression levels of GABRA5, SOX13, and AGL were lower in the low-growth group than in the high-growth group, and expression variation was also observed within groups. Overall, gene expression levels appeared to be positively associated with growth traits, with higher expression associated with improved growth performance. These findings suggest that GABRA5 and AGL may serve as candidate genes for further investigation and that the identified SNP loci may contribute to the development of molecular markers for the selection of growth traits in Dongfeng sika deer. The results provide a preliminary basis for molecular breeding and genetic improvement strategies in Dongfeng sika deer bucks and serve as an important reference for genetic improvement of growth traits in Cervidae. Full article

Background/Objectives: Peripheral biomarkers for autism spectrum disorder (ASD) have shown mixed results in previous studies. In this study, complete blood count-derived immune-inflammatory markers, iron and micronutrient levels, and thyroid function were compared between drug-naïve preschoolers newly diagnosed with ASD and healthy controls. Additionally, the relationships between these markers, symptom severity, and developmental skills were examined. Methods: This retrospective case–control study included 62 children with ASD (aged 24–72 months) and 61 age-matched healthy controls. Symptom severity, behavioral traits, and developmental status were assessed using the Childhood Autism Rating Scale (CARS), Autism Behavior Checklist (ABC), and Denver II Developmental Screening Test (DDST), respectively. Composite inflammatory indices were calculated from hemogram data. Statistical analyses incorporated Holm–Bonferroni corrections for multiple comparisons and sex-stratified exploratory analyses of conditional associations using 95% bootstrap confidence intervals based on 5000 resamples. Results: Children with ASD demonstrated significantly lower mean corpuscular volume (MCV; d = 0.66, adj. p = 0.019), lower mean platelet volume (MPV; d = 0.58, adj. p = 0.034), and higher absolute lymphocyte counts (LYMPH; d = 1.10, adj. p = 0.019). Initial group differences in ferritin, serum iron, and transferrin saturation did not survive adjustment (adj. p > 0.05). Composite inflammatory indices were not significantly associated with clinical or developmental scores. Higher CARS and ABC scores correlated with lower personal–social and language scores on the DDST (p < 0.01). Furthermore, exploratory sex-stratified, conditional association analyses suggested preliminary basophil- and lymphocyte-related patterns in girls; however, these findings are strictly hypothesis-generating due to the small female sample size (n = 12). Conclusions: Newly diagnosed, drug-naïve preschoolers with ASD showed a distinct baseline blood profile, including lower MCV and MPV and higher lymphocyte counts. Clinical challenges were most evident in personal–social and language domains. While the primary diagnostic value of routine hemograms in this context appears limited, the exploratory sex-stratified basophil- and lymphocyte-related patterns require validation in adequately powered future cohorts. Full article

High-density SNP chips have been demonstrated to be effective instruments for simultaneously genotyping large numbers of loci, thereby facilitating genome-scale analyses and advancing genomic selection (GS) in poultry and livestock. The meat-type duck, an economically valuable poultry species in China, has so far lacked precise and high-throughput genotyping systems, which has constrained the broader implementation of GS and genome-wide association analyses (GWASs) and consequently slowed genetic progress. In this study, we developed and validated a novel SNP array based on Genotyping-by-Targeted-Sequencing (GBTS) technology. The array comprises 40,875 SNP markers evenly distributed across 32 duck chromosomes. Using data generated from this array, genomic heritability estimates were obtained for six economic traits in a cultured duck population (n = 400), with values of 0.61 ± 0.09, 0.69 ± 0.08, 0.80 ± 0.08, 0.11 ± 0.09, 0.14 ± 0.08, 0.31 ± 0.09 for age at first egg (AFE), egg production number at 38 weeks (EN38w), egg weight at 38 weeks (EW38w), body weight at 35 days (BW35d), shank length at 35 days (SL35d) and thickness of breast muscle at 40 days (TB40d). A total of 163 significant SNPs associated with economic traits were identified through GWAS, and annotation revealed 28 candidate genes related to five of these traits. Moreover, the prediction accuracy of ssGBLUP for AFE, EN38w, EW38w, BW35d, SL35d, and TB40d reached 0.55 ± 0.16, 0.56 ± 0.12, 0.57 ± 0.08, 0.25 ± 0.19, 0.31 ± 0.19, and 0.47 ± 0.17, respectively—values that exceeded those obtained using BLUP. Population genomic analyses of 400 ducks demonstrated that this SNP array provides improved genomic prediction accuracy over pedigree-based BLUP for most analyzed traits. Overall, the developed SNP array provides a robust, high-efficiency, and cost-effective genotyping platform that will accelerate genetic progress and promote the sustainable development of the meat-type duck industry. Full article

Based on SLAF-seq technology, 174 white clover accessions were analyzed using population structure and genetic evolution to develop SNP markers of all accessions. We obtained 2329.4 Mb reads of sequenced data, and the reads of the samples ranged from 4,701,984 to 31,540,232. The sequencing quality value (Q30) uniformly changed from 90.61% to 96.82%, with an average of 93.11%. The GC content of the samples changed from 38.96% to 43.98%, averaging 40.96%, with a control of 34.21%. A total of 320,417 SLAF tags were developed, with an average sequencing depth of 16.42×. There were 202,625 polymorphic SLAF tags, accounting for 63.24% of the total number of SLAF tags. Finally, 2,999,555 polymorphic SNPs were found, and 102,025 high-quality SNPs were selected for downstream analyses after filtering with minor allele frequency (MAF) > 0.05 and completeness > 0.5. Population structure analysis supported K = 2, indicating two major ancestral genetic backgrounds among the accessions. Phylogenetic analysis and principal component analysis further divided the accessions into three genetic subclusters, suggesting finer-scale genetic differentiation. In addition, one-way ANOVA and chi-squared tests revealed a significant association between genetic groups and geographic origin (χ² = 25.78, df = 8, p = 0.0012; F = 3.489, p = 0.032), provided limited evidence for a possible association between genetic grouping and geographic origin. Compared with photosynthetic traits, agronomic traits showed a broader range of variations, with coefficient of variance values for agronomic traits ranging from 24.59% to 139.02% and for photosynthetic traits from 4.29% to 78.57%. This difference suggests that morphological traits were highly differentiated among the 174 accessions. The consistency between phenotypic clustering (based on agronomic traits) and molecular clustering (based on SNP data) suggests that our SNP dataset captures biologically meaningful genetic variation, providing a solid foundation for future genome-wide association studies (GWASs) and marker-assisted selection (MAS) in white clover. Full article

Maize (Zea mays L.) is one of the most important cereal crops worldwide, with yield being a complex quantitative trait controlled by multiple genetic factors. The aim of this study was to identify molecular markers associated with maize yield using next-generation sequencing (NGS), association mapping, and physical mapping approaches. A total of 122 maize hybrids were evaluated under field conditions in a randomized complete block design with three replications. Phenotypic data were collected for grain yield, while genotypic data were obtained using DArTseq technology, resulting in the identification of 60,436 SilicoDArT and 32,178 SNP markers. After quality filtering, 25,078 markers were used for further analyses. Analysis of variance revealed statistically significant differences among hybrids in terms of yield (p < 0.001), with values ranging from 12.67 to 18.52 kg/10 m². Genetic similarity among hybrids ranged from 0.434 to 0.957, indicating substantial genetic diversity. Cluster analyses based on phenotypic and genotypic data showed a lack of correspondence between yield performance and genetic similarity. Genome-wide association studies (GWAS) identified 2478 markers significantly associated with yield, including 47 highly significant markers (Logarithm of the Odds − LOD > 4.0). Individual markers explained between 2.4% and 18.7% of yield variation. Ten markers with the highest contribution to yield variability (13.30–18.70%) were selected as the most promising candidates for further breeding applications. These markers represent promising candidates for marker-assisted selection and genomic selection (GS) of high-yielding maize genotypes. These are some of the first positive results. The integration of phenotypic evaluation with high-throughput genotyping and association mapping provides valuable insights into the genetic architecture of yield and offers practical tools for the development of high-yielding maize cultivars. Full article

Considering the daily importance of vegetables in the human diet, breeders are expected to find faster and more accurate methods of creating new varieties of vegetables. To more precisely meet the demands of vegetable producers and consumers, breeders are increasingly combining hybrid and molecular techniques. The integration of hybrid and molecular breeding represents a logical step towards the development of efficient vegetable breeding strategies. For this purpose, the aim of this review is to point out several representative vegetable species (tomato, pepper, cabbage, lettuce, and cucumber) the possibilities, advantages, and disadvantages of the integration of hybrid and molecular methods of breeding. While conventional breeding techniques are based on selective breeding, mass selection, pure line selection, backcrossing, and hybrid breeding that exploit the effects of heterosis, advanced techniques such as phenomics, molecular markers, genome-wide association studies, and next-generation sequencing facilitate the identification and selection of desirable traits and improve nutritional quality. Breeding a new and promising vegetable cultivar can take 10 to 15 years before it becomes available for commercial production. Molecular techniques definitely represent a faster and more precise part of this mentioned integration. However, classical-hybrid breeding still develops stable, uniform, and marketable varieties without the high costs and significant access of advanced laboratory infrastructure, and without the regulatory barriers that accompany genetic engineering. Full article

Plant diseases remain a major constraint to crop productivity and global food security. Conventional breeding has long been used to develop resistant cultivars through the introgression of resistance traits from wild relatives and the selection of favorable phenotypes. However, this process is often slow and limited by linkage drag, known genetic diversity, intrinsic genetic limitations, and the rapid evolution of pathogen populations. Molecular breeding strategies, including marker-assisted selection and genomic selection, have improved the precision of resistance breeding but still rely on existing genetic variation. Recent advances in genome editing technologies are transforming plant breeding by enabling precise modification of gene targets. CRISPR-based systems allow targeted gene knockouts, promoter editing, allelic replacement, and multiplex editing to rapidly generate resistance traits. Many studies have demonstrated that editing susceptibility genes or regulatory regions can enhance resistance to diverse pathogens. Recent research shows that resistance can also be improved by targeting non-classical genes involved in plant immunity, including transcription factors, membrane transporters, heat shock proteins, cell wall-related genes, metabolic enzymes, and epigenetic regulators. Emerging tools such as base editing, prime editing, regulatory tools, and transposon-associated genome engineering systems are further expanding the precision and versatility of plant genome editing. Despite these advances, challenges related to delivery systems, editing efficiency, regulatory frameworks, and field validation remain. Continued technological progress and improved knowledge of plant immune networks will be essential to fully integrate genome editing into crop improvement programs. Full article

Leopard coral grouper (Plectropomus leopardus), a member of the Epinephelidae family, is characterized by its distinct red coloration and excellent meat quality, making it one of the most premium species in the grouper market. Body color is an important economic trait for leopard coral grouper because it is an important factor in determining market price. In order to improve the traits in leopard coral grouper, the regulatory mechanism of body color and pigmentation is essential to explore. In the research, QTLs associated with body color in leopard coral grouper were detected using genome-wide association study analysis. A mixed population derived from 12 female and 12 male wild individuals with significant color differences was established. Meanwhile, the HSV (Hue, Saturation, Value) color model was employed to quantify leopard coral grouper body color as continuous variables. In the results, a total of 18 SNPs associated with the body color of the leopard coral grouper were discovered. Through functional annotation, we identified four candidate genes associated with body color: ASAP2, NLRC3, ALDH18A1, and E2F4. These genes were involved in chromatophore distribution, contraction and dilation, carotenoid oxidation, pigment cell proliferation and development, and immune-related processes. These findings uncovered new genetic loci and regulatory mechanisms for body color, providing a genetic basis for understanding pigmentation regulation and supporting marker-assisted selective breeding in leopard coral grouper. Full article