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Search Results (1,165)

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Keywords = quantitative trait loci (QTLs)

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20 pages, 4718 KB  
Article
Integrative Analysis of Major Depressive Disorder and Ovarian Cancer: From Genetic Association to Single-Cell Mechanisms
by Chen Liu, Xueling Wang and Jiaqi Lu
Biomedicines 2026, 14(5), 1167; https://doi.org/10.3390/biomedicines14051167 - 21 May 2026
Abstract
Background: Although emerging evidence indicates that major depressive disorder (MDD) raises the risk of developing ovarian cancer (OC) and worsens survival, the biological mechanisms underlying this relationship remain unclear. This study explores the MDD-OC association using single-cell transcriptomics and genetic approaches. Methods: Using [...] Read more.
Background: Although emerging evidence indicates that major depressive disorder (MDD) raises the risk of developing ovarian cancer (OC) and worsens survival, the biological mechanisms underlying this relationship remain unclear. This study explores the MDD-OC association using single-cell transcriptomics and genetic approaches. Methods: Using single-cell RNA-seq profiles of peripheral blood from MDD and OC patients, we compared shifts in immune cell subsets and selected the consistently expanded CD8+ effector memory (CD8_EM) T cells population for follow-up, validated using flow cytometry. We integrated expression quantitative trait loci (eQTL) data from CD8_EM T cell-specific genes with OC genome-wide association study (GWAS) summary statistics through two-sample Mendelian randomization (MR). In vitro experiments were additionally conducted to assess CLSTN3’s role in OC cell proliferation. Results: Among the 554 differentially expressed genes (DEGs) identified in CD8_EM T cells, MR showed a nominal association between CLSTN3 and ovarian cancer risk (OR 1.21, 95% CI 1.03–1.43), though this did not withstand correction for multiple comparisons. Colocalization analysis confirmed that CLSTN3 expression, regulated by the genetic variant rs3759416, shares a causal variant with the OC GWAS signal (PPH4 = 99.99%). Functionally, siRNA-mediated CLSTN3 silencing in HOC7 cells significantly reduced cell viability (CCK-8 assay). Conclusions: By focusing on CD8_EM T cells shared by MDD and ovarian cancer, we identified CLSTN3 as a candidate molecule through nominated by the convergence of genetic, transcriptomic, and functional evidence. These findings provide preliminary insights into the connection between depression and OC, though further validation is warranted. Full article
(This article belongs to the Section Molecular and Translational Medicine)
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18 pages, 3258 KB  
Article
Identification of QTL and Candidate Genes Controlling Plant Height and Internode Length in a Newly Characterized Bread Wheat Recombinant Inbred Population
by Zidong Wan, Shuai Ge, Mengxin Li, Xinyan Wang, Dongjie Cui, Qing Chi, Bing Li, Hangbo Xu, Jialing Lu, Zhen Jiao, Wenhui Wei and Panfeng Guan
Genes 2026, 17(5), 567; https://doi.org/10.3390/genes17050567 - 17 May 2026
Viewed by 230
Abstract
Background: Internode length (IL), a key component of plant height (PH), plays an important role in achieving the optimal architecture in wheat. However, the genetic mechanisms underlying internode elongation are not well understood. Methods: In this study, a recombinant inbred line (RIL) population [...] Read more.
Background: Internode length (IL), a key component of plant height (PH), plays an important role in achieving the optimal architecture in wheat. However, the genetic mechanisms underlying internode elongation are not well understood. Methods: In this study, a recombinant inbred line (RIL) population derived from a cross between Bainong 4199 (BN4199) and Zhengyinmai 2 (ZYM2) was evaluated for PH and five ILs across two field locations over two years and genotyped using a 120 K liquid-phase chip. Results: A total of 141 quantitative trait loci (QTL) associated with PH and the five ILs were mapped onto 20 chromosomes, except for chromosome 5D. Among these, 37 stable QTL were identified on chromosomes 1B, 2B, 2D, 4B, 5A, 7A, 7B and 7D, accounting for 3.86–25.97% of the phenotypic variation. Meanwhile, 23 co-localized QTL associated with at least two traits were detected, with QTL cluster regions on chromosomes 2D, 4B, 5A, 7A, and 7B. Moreover, the total additive effects of the QTL combinations increased with the number of QTL, which indicates the effectiveness of pyramid breeding. Additionally, based on gene function annotation, the cloning and characterization of rice orthologs, and analysis via the QTG miner module of the wheat integrative gene regulatory network (wGRN) platform, 63 candidate genes (e.g., Rht1, Rht8, TB1 and ZnF-B) were prioritized within the stable QTL intervals, and their tissue expression patterns were analyzed. Conclusions: Collectively, these findings not only deepen our understanding of the genetic basis of PH and ILs in wheat but also lay a foundation for the further validation and functional characterization of candidate genes, enabling the optimization of plant architecture through marker-assisted selection (MAS) to ultimately improve agronomic performance and yield potential. Full article
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13 pages, 2346 KB  
Article
QTL Mapping and Candidate Gene Prediction for Crude Protein Content in Sweetpotato (Ipomoea batatas (L.) Lam.)
by Donglan Zhao, Jie Wang, Lingxiao Zhao, Shizhuo Xiao, Xibin Dai, An Zhang, Rui Yuan, Yao Wang, Qinglian Li, Tong Ning, Zhilin Zhou and Qinghe Cao
Plants 2026, 15(10), 1522; https://doi.org/10.3390/plants15101522 - 16 May 2026
Viewed by 205
Abstract
Sweetpotato (Ipomoea batatas (L.) Lam.) is an important multifunctional crop with great value in food supply, industrial processing and bioenergy utilization. Crude protein content (CPC) is a core target trait for sweetpotato quality breeding. To dissect the genetic basis of CPC and [...] Read more.
Sweetpotato (Ipomoea batatas (L.) Lam.) is an important multifunctional crop with great value in food supply, industrial processing and bioenergy utilization. Crude protein content (CPC) is a core target trait for sweetpotato quality breeding. To dissect the genetic basis of CPC and identify key candidate genes, we used an F1 population of 212 individuals. CPC was measured by near-infrared reflectance spectroscopy (NIRS) in 2020 and 2021, and QTL mapping was performed using a high-density SNP genetic linkage map. Candidate genes were explored via a genome-wide association study (GWAS), multiple-database functional annotation, and quantitative real-time PCR (qPCR) validation. The results showed that: (1) CPC in the population exhibited a continuous normal distribution with high inter-year stability, and phenotypic variation was mainly controlled by genetic factors; (2) one stable minor-effect QTL for CPC, qCPC09-1, was mapped to Chr09: 7906895–8614924 bp, explaining 5.7% of phenotypic variation; (3) GWAS detected no significant SNP loci, suggesting that CPC is regulated by multiple minor-effect genes; (4) genes within the qCPC09-1 interval were significantly enriched in three protein synthesis-related KEGG pathways: ribosome, nitrogen metabolism and ubiquinone and other terpenoid–quinone biosynthesis; (5) qPCR verified that itf09g13420 and itf09g13230 were upregulated in the low-CPC parent Yushu 10 and negatively correlated with CPC, while itf09g13550 was upregulated in the high-CPC parent Xin 24 and positively correlated with CPC. These three genes exhibited expression patterns highly consistent with phenotypic differences. This study provides a theoretical basis and technical support for molecular marker-assisted breeding and elite germplasm innovation in sweetpotato. Full article
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21 pages, 4425 KB  
Article
Mapping Genetic Modifiers of Polyp Formation in Smad4-Deficient Juvenile Polyposis Using the Collaborative Cross Mouse Population
by Osayd Zohud, Kreem Midlej, Iqbal M. Lone, Aysar Nashef, Imad Abu-Elnaaj and Fuad A. Iraqi
Cells 2026, 15(10), 853; https://doi.org/10.3390/cells15100853 - 7 May 2026
Viewed by 281
Abstract
Juvenile Polyposis Syndrome (JPS) is an autosomal dominant disorder characterized by multiple gastrointestinal polyps and an increased risk of cancer, most commonly associated with mutations in the tumor suppressor gene Smad4. However, substantial phenotypic variability exists among individuals carrying identical mutations, suggesting [...] Read more.
Juvenile Polyposis Syndrome (JPS) is an autosomal dominant disorder characterized by multiple gastrointestinal polyps and an increased risk of cancer, most commonly associated with mutations in the tumor suppressor gene Smad4. However, substantial phenotypic variability exists among individuals carrying identical mutations, suggesting the presence of genetic modifiers. In this study, we used the genetically diverse Collaborative Cross (CC) mouse population crossed with Smad4 knockout mice to identify loci influencing intestinal polyp development. A cohort of 260 F1 mice derived from 14 CC lines was assessed for polyp number and size across intestinal segments. Quantitative trait locus (QTL) mapping revealed several significant loci, including regions on chromosomes 16, 14, and 12, which were designated Ipsl1, Ipsl2, and Ipsl3 for Intestinal Polyposis Susceptibility locus (Ipsl), respectively, in the full population, as well as additional sex-specific loci in male and female cohorts. Pathway enrichment analysis of genes within these regions highlighted functional associations with immune signaling, ubiquitin–proteasome degradation, and metabolic regulation. Candidate genes, including STAM2, PSMD6, NAMPT, and CACNB4, emerged as potential modifiers of polyp susceptibility. These findings highlight the complex genetic architecture underlying JPS phenotypes and provide candidate loci for future functional and translational investigations. Full article
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22 pages, 10666 KB  
Article
Bulked Segregant Analysis Revealed the Common Resistant QTLs Associated with Fusarium Ear Rot and Gibberella Ear Rot in Maize
by Haiyan Zhang, Weili Cai, Wenyi Li, Luyao Duan, Zhenyu Zhang, Chengjia Zou, Ling Li, Lin Li, Runtian Xiao, Lina Cui and Xiao Li
Plants 2026, 15(9), 1401; https://doi.org/10.3390/plants15091401 - 4 May 2026
Viewed by 522
Abstract
Maize ear rot, primarily caused by Fusarium verticillioides (Fusarium ear rot, FER) and Fusarium graminearum (Gibberella ear rot, GER), is a devastating disease that causes significant yield losses and mycotoxin contamination. Breeding resistant varieties is the most effective control strategy, but this requires [...] Read more.
Maize ear rot, primarily caused by Fusarium verticillioides (Fusarium ear rot, FER) and Fusarium graminearum (Gibberella ear rot, GER), is a devastating disease that causes significant yield losses and mycotoxin contamination. Breeding resistant varieties is the most effective control strategy, but this requires the identification of stable genetic loci for resistance. In this study, we employed bulked segregant analysis (BSA) on two F2 mapping populations to identify quantitative trait loci (QTLs) conferring resistance to FER and GER. We identified five and eleven QTLs for FER and GER, respectively. Notably, chromosome 4 was identified as a major hotspot for resistance to both diseases, and there was a co-localization of the FER QTL (qFER4.05) and GER QTL (qGER4.05-1) within a 58.58–71.34 Mb interval on bin 4.05, suggesting a potential locus for broad-spectrum resistance. Within this overlapping region, we identified 18 high-confidence candidate genes, including genes encoding leucine-rich repeat receptor-like kinases (LRR-RLKs), remorin, cytochrome P450 monooxygenases, and wall-associated receptor kinase-like (WAKL) protein, all with established roles in plant defense. These findings advance the understanding of the genetic architecture of ear rot resistance and provide critical resources for marker-assisted breeding to develop maize hybrids with durable resistance to both FER and GER. Full article
(This article belongs to the Special Issue Identification of Resistance of Maize Germplasm Resources to Disease)
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14 pages, 1533 KB  
Article
Construction of the First Genetic Linkage Map and QTL Analysis for Morphological Traits in Bougainvillea glabra Choisy
by Yaru Wang, Ya Li, Shisong Xu, Shengnan Lin, Qingyun Leng, Jinhua Chen, Haiyan Li, Guangsui Yang, Hernán Ariel López and Junhai Niu
Plants 2026, 15(9), 1373; https://doi.org/10.3390/plants15091373 - 30 Apr 2026
Viewed by 416
Abstract
Bougainvillea (Bougainvillea glabra) is a perennial woody species belonging to the Nyctaginaceae family, native to South America. It is widely recognized for its brightly colored bracts and strong adaptability, and is widely cultivated as a major ornamental plant in tropical and [...] Read more.
Bougainvillea (Bougainvillea glabra) is a perennial woody species belonging to the Nyctaginaceae family, native to South America. It is widely recognized for its brightly colored bracts and strong adaptability, and is widely cultivated as a major ornamental plant in tropical and subtropical regions. However, QTL mapping studies on morphological traits remain limited in the genus Bougainvillea, and the genetic basis underlying its key ornamental traits is still largely unclear. In this study, an F1 segregating population was constructed using the cultivars ‘Mrs Eva White’ and ‘Formosa’ as parents, and was used for high-density genetic map construction and quantitative trait locus analysis. Fourteen leaf and thorn-related traits were investigated, with coefficients of variation ranging from 8.16% to 64.54%. Based on specific-locus amplified fragment sequencing (SLAF-seq), a total of 1,133,206 SLAF markers were developed, among which 479,488 were polymorphic. Using the inclusive composite interval mapping (ICIM) algorithm in the GACD 1.2 software, a high-density genetic linkage map was constructed for B. glabra, consisting of 17 linkage groups and 3256 markers. The genetic map spanned 1797.64 cM, with an average marker interval of 0.55 cM. A total of 22 QTLs were detected for the measured leaf and thorn traits, including 16 major QTLs with a PVE ≥ 8%. Collectively, this study identified stable genetic loci for important morphological traits and provides a valuable theoretical foundation for marker-assisted selection and genetic improvement of ornamental traits in Bougainvillea. Full article
(This article belongs to the Section Plant Genetics, Genomics and Biotechnology)
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14 pages, 4667 KB  
Article
QTL Mapping of SPAD Values Associated with Leaf Color in Bunching Onion
by Tetsuya Nakajima, Kouei Fujii, Kenji Watanabe, Yoichi Mizukami, Masaru Bamba, Shusei Sato and Masayoshi Shigyo
Genes 2026, 17(5), 534; https://doi.org/10.3390/genes17050534 - 30 Apr 2026
Viewed by 323
Abstract
Background/Objectives: The dark green leaf color trait in bunching onion (Allium fistulosum L.) is an important agronomic trait closely associated with market value; however, its genetic basis remains poorly understood. This study aimed to identify quantitative trait loci (QTLs) associated with [...] Read more.
Background/Objectives: The dark green leaf color trait in bunching onion (Allium fistulosum L.) is an important agronomic trait closely associated with market value; however, its genetic basis remains poorly understood. This study aimed to identify quantitative trait loci (QTLs) associated with leaf color using SPAD values as a phenotypic indicator. Methods: An F2 population derived from a cross between the dark green line YSG1go and the light green line Asagikei-KUJYO was used. A linkage map was constructed based on RNA-seq-derived SNP markers, and SPAD values were measured for QTL analysis. Results: The linkage map consisted of eight linkage groups with a total length of 2103.0 cM and 765 mapped markers. SPAD values showed significant differences between the parental lines, with high broad-sense heritability (H2 = 0.76), indicating a strong genetic contribution to this trait. Multiple significant QTLs were detected on chromosomes 4 and 5, each explaining 27.4–38.1% of the phenotypic variance. The direction of allelic effects differed among QTLs, suggesting that favorable alleles are distributed between the parental lines. In addition, genes related to chloroplast protein translation were identified within the QTL regions. Conclusions: SPAD values are a suitable indicator for genetic analysis of leaf color in bunching onion, and the QTLs identified in this study provide valuable information for molecular breeding aimed at improving dark green leaf color. Full article
(This article belongs to the Special Issue Genetic and Breeding Improvement of Horticultural Crops)
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17 pages, 1873 KB  
Article
Genome-Wide Characterisation of the Ashanti Dwarf Pig Within a Global Context: Insights into Diversity, Inbreeding, and Adaptive Signatures
by Sethlina Naa Dodua Aryee, Dennis Owusu-Adjei, Richard Osei-Amponsah, Benjamin Matthew Skinner, Julien Bauer, Benjamin Ahunu, Anton Enright and Carole Anne Sargent
Life 2026, 16(5), 745; https://doi.org/10.3390/life16050745 - 30 Apr 2026
Viewed by 322
Abstract
Indigenous pig breeds represent valuable reservoirs of genetic diversity but face increasing risks of genetic erosion due to uncontrolled crossbreeding with commercial lines. The Ashanti Dwarf Pig (ADP) of Ghana is an important local genetic resource well-adapted to tropical environments but poorly characterised [...] Read more.
Indigenous pig breeds represent valuable reservoirs of genetic diversity but face increasing risks of genetic erosion due to uncontrolled crossbreeding with commercial lines. The Ashanti Dwarf Pig (ADP) of Ghana is an important local genetic resource well-adapted to tropical environments but poorly characterised at the genomic level. Using high-density SNP data from the ADPs and publicly available datasets from other African, European, and Asian pig populations, we examined genetic diversity, population structure, inbreeding, and selection signatures. After quality control, 59,124 SNPs across 875 individuals were retained. ADPs exhibited high polymorphism (~99%) and moderate heterozygosity but also elevated inbreeding (FIS = 0.15; FROH = 0.40), indicating recent inbreeding under free-range management. Population structure revealed that ADPs cluster closely with other African pigs and European breeds more than Chinese breeds. ADMIXTURE analysis, however, indicated recent introgression from both European and Chinese lines. Selection scans revealed candidate genes linked to metabolism-Zinc Finger Ran-Binding Protein 3 (ZRANB3), growth-Sortilin Related VPS10 Domain Containing Receptor 1 (SORCS1), reproduction–Sus Scrofa Chromosome 9 quantitative trait loci (SSC9 QTLs), and immunity-Tudor Domain-Containing Protein 3 and CKLF-like MARVEL transmembrane Domain Containing 7 (TDRD3, CMTM7), reflecting adaptation to tropical production systems. Our results provide a comprehensive genomic characterisation of the ADP within a global context, revealing both genetic richness and vulnerability to genetic erosion. These findings underscore the importance of structured breeding and conservation strategies in preserving this unique African genetic resource and supporting sustainable pig production under changing climatic conditions. Full article
(This article belongs to the Section Animal Science)
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15 pages, 1402 KB  
Article
Mapping Quantitative Trait Loci for Pre-Harvest Sprouting Resistance in Wheat Using Berkut × Worrakatta Recombinant Inbred Lines
by Yunkun Cheng, Yiling Xing, Lei Xie, Wanlong He, Jinjin Ding, Haiyan Zhang, Xiaomei Liu and Hongwei Geng
Agriculture 2026, 16(9), 926; https://doi.org/10.3390/agriculture16090926 - 23 Apr 2026
Viewed by 371
Abstract
Pre-harvest sprouting (PHS) in wheat is a significant global challenge influenced by climate. This study aimed to decipher the genetic underpinnings of PHS and identify resistance genes using 309 recombinant inbred lines (RILs) derived from the “Berkut” × “Worrakatta” cross. Methods: Phenotypic assessment [...] Read more.
Pre-harvest sprouting (PHS) in wheat is a significant global challenge influenced by climate. This study aimed to decipher the genetic underpinnings of PHS and identify resistance genes using 309 recombinant inbred lines (RILs) derived from the “Berkut” × “Worrakatta” cross. Methods: Phenotypic assessment of PHS traits was performed using the whole-spike sprouting method across various environments, complemented by quantitative trait loci (QTL) analysis employing a wheat 50 K SNP chip. Results showed high PHS rates in both parental lines across multiple environments. Progeny exhibited substantial variation in PHS rates, with coefficients of variation ranging from 0.16 to 0.19 and phenotypic variation ranging from 23.92% to 100%, suggesting pronounced transgressive segregation. Nine QTLs associated with PHS were identified on chromosomes 1AL, 1DL, 2AL, 2AS, 2BS, 3DS, 4BL, and 7BL. These loci accounted for 2.67% to 6.39% of the phenotypic variation. Notably, the enhancer alleles at four loci—1DL, 2BS, 4BL, and 7BL—originated from “Worrakatta”, and “Berkut” contributed the enhancer alleles at the remaining five loci. Two QTLs, QPHS.xjau-1AL.1 and QPHS.xjau-1AL.2, were stable across multiple environments. Specifically, QPHS.xjau-1AL.1 was present in three environments and explained 3.86% to 6.39% of the phenotypic variation, while QPHS.xjau-1AL.2 appeared in one environment under average conditions, explaining 2.67% to 4.87% of the variation. Our study also identified eight candidate genes associated with wheat PHS, including those encoding Myb transcription factors that influence flavonoid biosynthesis and grain color, as well as genes involved in stress response and gibberellin biosynthesis, which are crucial for plant growth and development. These genes represent vital targets for enhancing wheat PHS resistance. Full article
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19 pages, 1643 KB  
Article
Genome-Wide Association Study and Candidate Gene Identification for Resistance to Bacterial Stem and Root Rot in Sweetpotato
by Xiangsheng Lin, Xiawei Ding, Shixu Zhou, Hongda Zou, Zhangying Wang, Xuelian Liang, Xiangbo Zhang and Lifei Huang
Biology 2026, 15(8), 643; https://doi.org/10.3390/biology15080643 - 19 Apr 2026
Viewed by 332
Abstract
Bacterial stem and root rot (BSRR), caused by Dickeya dadantii, poses a severe threat to global sweetpotato production, yet the genetic architecture underlying resistance remains elusive. To dissect these mechanisms, we conducted a high-resolution genome-wide association study (GWAS) on 135 diverse accessions, [...] Read more.
Bacterial stem and root rot (BSRR), caused by Dickeya dadantii, poses a severe threat to global sweetpotato production, yet the genetic architecture underlying resistance remains elusive. To dissect these mechanisms, we conducted a high-resolution genome-wide association study (GWAS) on 135 diverse accessions, integrating two-year field phenotyping with best linear unbiased prediction (BLUP) and 6.8 million single-nucleotide polymorphism (SNP) markers. This approach mapped nine quantitative trait loci (QTLs) exhibiting significant allelic dosage-dependent effects, with the major locus, qBSRR.6.1 was the primary discriminator between resistant and susceptible genotypes. Crucially, transcriptomic profiling within these loci revealed distinct expression patterns: IbTCP5 and IbERF003 (located in qBSRR.5.1 and qBSRR.6.2) were highly expressed in the susceptible cultivar ‘Xinxiang’ but suppressed in the resistant ‘Guangshu87’. Furthermore, BSRR challenge identified IbPUB4, IbKCS5, and IbLig1 as priority candidate genes involved in defense, with expression patterns suggesting roles in ubiquitin-mediated protein turnover, cuticular wax biosynthesis, and DNA repair, respectively. In stark contrast, IbPUB25 was constitutively upregulated in ‘Xinxiang’, potentially acting as a negative regulator of immunity via degradation of target proteins. These findings elucidate the polygenic, dosage-sensitive nature of BSRR resistance and prioritize specific targets for future functional characterization. Pyramiding favorable alleles of positive candidates while silencing potential negative regulators like IbPUB25 offers a promising avenue for developing durable, high-resistance sweetpotato varieties. Full article
(This article belongs to the Section Genetics and Genomics)
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19 pages, 2463 KB  
Article
QTL Mapping of Grain Quality Traits in Bread Wheat Using the Avalon × Cadenza Double Haploid Mapping Population Across Three Contrasting Regions of Kazakhstan
by Akerke Amalova, Simon Griffiths, Aigul Abugalieva, Saule Abugalieva and Yerlan Turuspekov
Agronomy 2026, 16(8), 832; https://doi.org/10.3390/agronomy16080832 - 18 Apr 2026
Viewed by 444
Abstract
Grain quality in bread wheat is a complex trait determined by multiple genetic factors and their interaction with environmental conditions. This study investigated the genetic architecture of key grain quality traits in the Avalon × Cadenza double haploid (DH) population under contrasting climatic [...] Read more.
Grain quality in bread wheat is a complex trait determined by multiple genetic factors and their interaction with environmental conditions. This study investigated the genetic architecture of key grain quality traits in the Avalon × Cadenza double haploid (DH) population under contrasting climatic conditions in Kazakhstan. A set of 101 spring-type DH lines was evaluated over three years in three major wheat-growing regions of Kazakhstan, representing northern, central, and southern environments. Grain yield and nine grain quality traits were assessed, including amylose content (Amc, %), test weight per liter (TWL, g/L), grain protein content (GPC, %), gliadin content (Gli, %), glutenin content (Glu, %), grain hardness (GH, %), grain vitreousness (GV, %), falling number (FN, s), and sedimentation value determined in a 2% acetic acid solution (SV, mL). The objectives were to characterize phenotypic variation, examine trait relationships, and identify major and environmentally stable quantitative trait loci (QTLs) controlling grain quality. QTL mapping identified 89 QTLs associated with the nine studied traits, including 82 major QTLs explaining more than 10% of phenotypic variation and 16 stable QTLs detected in two or more environments. The largest numbers of QTLs were found for GPC, SV, and TWL. Stable QTLs were distributed across all three wheat genomes, with important regions detected on chromosomes 1A, 1B, 2D, 4A, 4D, 5A, 6A, and 7D. Several stable QTLs co-localized with genomic regions previously associated with grain quality and developmental regulation, including loci near Wx-B1, Rht-D1, and Ppd-D1, suggesting biologically meaningful links among gluten composition, starch biosynthesis, plant development, and grain physical properties. These results improve understanding of the genetic control of wheat grain quality across diverse environments in Kazakhstan and provide promising targets for marker-assisted selection to combine improved end-use quality with wide environmental adaptation. Full article
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16 pages, 1641 KB  
Article
Multi-Omics Mendelian Randomization and Clinical Validation Implicate NLRP6 as a Candidate Autophagy-Related Gene in Systemic Lupus Erythematosus
by Daan Nie, Jianguo Yin, Wei Tu, Kecheng Huang, Jing Wan, Yikai Yu, Bei Wang, Yu Chen, Shengyan Lin and Zhipeng Zeng
Genes 2026, 17(4), 466; https://doi.org/10.3390/genes17040466 - 16 Apr 2026
Viewed by 517
Abstract
Background/Objectives: Autophagy plays a role in systemic lupus erythematosus (SLE) pathogenesis. Nevertheless, the specific genetic determinants underpinning this process remain poorly characterized. Summary data-based Mendelian randomization (SMR) analysis was therefore utilized to pinpoint autophagy-related genes associated with SLE risk. Methods: We analyzed [...] Read more.
Background/Objectives: Autophagy plays a role in systemic lupus erythematosus (SLE) pathogenesis. Nevertheless, the specific genetic determinants underpinning this process remain poorly characterized. Summary data-based Mendelian randomization (SMR) analysis was therefore utilized to pinpoint autophagy-related genes associated with SLE risk. Methods: We analyzed 700 autophagy-related genes, integrating methylation quantitative trait loci (mQTL), expression QTL (eQTL) from blood and relevant tissue, and protein QTL (pQTL) data with genome-wide association studies (GWAS) data on SLE from the IEU dataset (discovery). GWAS data from FinnGen and the GWAS Catalog were used as replication datasets. Colocalization analysis identified shared genetic variants. Blood samples from 10 healthy control and 20 SLE patients were collected and analyzed for the expression of candidate genes. Results: Our SMR analysis identified suggestive associations between NLRP6 expression (OR = 0.528, 95%CI = 0.291–0.96) and p27Kip1 protein abundance (OR = 0.269, 95%CI = 0.08–0.904) with SLE susceptibility in the discovery cohort, supported by colocalization evidence. Additionally, we found that the methylation of the NLRP6 promoter (cg06432119) was significantly increased, while NLRP6 expression and p27Kip1 level were significantly decreased in SLE patients compared to controls. Furthermore, NLRP6 mRNA expression was significantly negatively correlated with the SLE severity (SLEDAI-2000). Conclusions: These findings not only prioritized candidate genes via SMR analysis but also provided evidence of epigenetic dysregulation of NLRP6 and its correlation with disease activity in SLE, thereby offering novel insights into the underlying mechanisms. Full article
(This article belongs to the Section Bioinformatics)
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24 pages, 7765 KB  
Article
Genome-Wide Characterization of Citrus NBS-LRR Genes and Integrative Analysis of a Candidate Gene Associated with Alternaria Brown Spot-Related QTL
by Yilu Li, Chengnan Kang, Ru Zhang, Boping Wu, Kai Xu, Jiajie Chen, Meiyan Wang, Jinhua Liu and Haijie Ma
Plants 2026, 15(8), 1191; https://doi.org/10.3390/plants15081191 - 13 Apr 2026
Viewed by 741
Abstract
Alternaria brown spot, caused by the tangerine pathotype of Alternaria alternata, is a destructive fungal disease affecting citrus production worldwide. Nucleotide-binding site-leucine-rich repeat (NBS-LRR) genes constitute a major class of plant immune receptors; however, their genome-wide characteristics and potential association with Alternaria [...] Read more.
Alternaria brown spot, caused by the tangerine pathotype of Alternaria alternata, is a destructive fungal disease affecting citrus production worldwide. Nucleotide-binding site-leucine-rich repeat (NBS-LRR) genes constitute a major class of plant immune receptors; however, their genome-wide characteristics and potential association with Alternaria brown spot resistance loci in citrus remain poorly understood. In this study, we performed a comprehensive genome-wide identification and comparative analysis of NBS-LRR genes across representative citrus species. A total of 417 and 326 NBS-LRR genes were identified in Citrus reticulata and Citrus clementina, respectively, and were classified into NL, CNL, TNL, and RNL subfamilies based on domain architecture. Phylogenetic reconstruction, gene structure analysis, conserved motif composition, chromosomal distribution, synteny relationships, and promoter cis-element profiling collectively revealed considerable structural variation and lineage-specific expansion of the NBS-LRR gene family in citrus genomes. By integrating previously reported quantitative trait locus (QTL) data for Alternaria brown spot, we identified several NBS-LRR genes located within a resistance-associated genomic interval on chromosome 3. Among these, a candidate gene, designated LRR2, exhibited differential transcriptional responses upon pathogen inoculation and displayed distinct sequence variations between citrus genotypes. Structural modeling and molecular docking analyses suggested potential binding interfaces between LRR2 and multiple host-selective toxins, although the biological relevance of these interactions requires further experimental validation. Subcellular localization assays in Nicotiana benthamiana showed that LRR2 is distributed in both the nucleus and cytoplasm. Notably, transient overexpression of LRR2 triggered hypersensitive response-like cell death and H2O2 accumulation. Collectively, this study provides a comprehensive overview of the citrus NBS-LRR gene family and presents a multifaceted characterization of a QTL-anchored candidate gene. These findings establish a genomic and molecular framework for further functional investigations of citrus–Alternaria interactions. Full article
(This article belongs to the Special Issue Genetic Breeding and Biotic/Abiotic Stress Regulation in Citrus)
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20 pages, 1102 KB  
Article
Genetic Variations and Epistatic Interactions for Agronomic and Yield Traits in Winter Wheat Population Derived from ‘TAM 204’ and ‘Iba’ Cultivars
by Yahya Rauf, Jorge Luis Valenzuela-Antelo, Mehmet Dogan, Chenggen Chu, Shannon A. Baker, Jason A. Baker, Daniel Hathcoat, Geraldine Opena, Qingwu Xue, Jackie C. Rudd, Amir M. H. Ibrahim, Junli Zhang and Shuyu Liu
Agronomy 2026, 16(7), 755; https://doi.org/10.3390/agronomy16070755 - 2 Apr 2026
Viewed by 710
Abstract
Background: Improving grain yield in wheat remains a top priority, requiring integrated breeding and genetic strategies. This complexity poses a major challenge, driven by quantitative polygenic inheritance, environmental influence, and intricate genetic interactions. We investigated genetic factors and their interactions for agronomic and [...] Read more.
Background: Improving grain yield in wheat remains a top priority, requiring integrated breeding and genetic strategies. This complexity poses a major challenge, driven by quantitative polygenic inheritance, environmental influence, and intricate genetic interactions. We investigated genetic factors and their interactions for agronomic and yield traits in two high-yielding winter wheat cultivars adapted to the US Southern Great Plains. Methods: A bi-parental mapping population consisting of 221 F7 recombinant inbred lines (RIL) derived from ‘TAM 204’ and ‘Iba’ was evaluated for three years in 11 Texas environments. Both parents and RIL population were genotyped on Illumina NovaSeq 6000 and sequences were aligned to IWGSC RefSeq v1.0 using Bowtie2 for SNP calling. For QTL analyses, each trait was analyzed by individual environment, across multiple environments and mega-environments. Results: A total of 86 QTL were mapped for five traits and among them 32 were consistent in more than one environment or analysis. Among consistent QTL, four were pleiotropic to more than one agronomic or yield traits mapped on chromosomes 2B (57.18, 59.47 Mb) and 2D (29.34, 40.64 Mb). The consistent QTL on chromosome 2D (29.34 Mb) was pleiotropic to GYLD, DTH, TW, TKW and explained maximum phenotypic variation for all traits, representing photoperiod gene (Ppd-D1). Another QTL on chromosome 2D (40.64 Mb) was pleiotropic to GYLD and TW and based on the physical position comparisons it likely reflects a unique locus in Iba. The pleiotropic consistent QTL Qgyld.tamu.2B.59 from TAM 204 represents Ppd-B1 gene. Moreover, it is more likely that Qdth.tamu.5B.575 represents the Vrn-B1 gene in Iba. A total of 23 digenic epistatic interactions involved consistent QTL for all traits. Amongst these, epistatic interactions between the consistent QTL on 2B (57.18 Mb) and 2D (29.34 Mb) were observed for GYLD, DTH and TKW. Conclusions: Our findings revealed key allelic diversity and interaction effects in elite wheat cultivars, paving the way for marker development for identified pleiotropic loci and implementation in marker-assisted selection and recombination breeding. Full article
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Article
Genome-Wide Analysis of Copy Number Variation in Vietnamese Local Chickens
by Thuy Thi-Dieu Nguyen, Ana Tzvetkova, Mai Thi-Dieu Bui, Vo-Anh-Khoa Do, Thuy Thi-Ngoc Dinh, Phuong Thanh Nguyen, Andreas Walter Kuss, Mauro Penasa and Filippo Cendron
Animals 2026, 16(7), 1085; https://doi.org/10.3390/ani16071085 - 1 Apr 2026
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Abstract
Copy number variants (CNVs) are large-scale genomic alterations that contribute substantially to genetic diversity and may influence phenotypic variation in livestock. This study investigated the genome-wide CNV landscape of three Vietnamese indigenous chicken breeds. Whole-genome sequencing on the Illumina platform (3–5× coverage) was [...] Read more.
Copy number variants (CNVs) are large-scale genomic alterations that contribute substantially to genetic diversity and may influence phenotypic variation in livestock. This study investigated the genome-wide CNV landscape of three Vietnamese indigenous chicken breeds. Whole-genome sequencing on the Illumina platform (3–5× coverage) was performed on 24 individuals from Dong Tao (DT), Cay Cum (CC), and Ri (RI) breeds. A total of 1743 CNVs were detected, clustering into 315 copy number variation regions (CNVRs). Most CNVRs were rare, with 31.7% present in only one animal among breeds. Across the genome, 122 unique CNVRs were distributed over 28 chromosomes, predominantly the first five. Losses were the most frequent type (45.9%), followed by gains (39.3%), and mixed events (14.8%). Within these CNVRs, 3633 genes were identified. In DT and RI, CNVR-embedded genes included several candidates, potentially related to adaptability, development, and phenotypic diversification. Notably, DT harbored genes such as EGLN1, OASL, GPX1, DUOX1/DUOXA2 (adaptation, stress/immune response) and LRP4, ZIC1, ZIC4, JARID2, KMT2C, OGN, OMD, and PLOD2 (developmental and skeletal traits), whereas in RI they included genes such as CACNA1S, CALCR, CAPN3, and MAPK13/MAPK14, which may contribute to muscle, bone, and physiological regulation. Functional enrichment analysis revealed numerous genes and Quantitative Trait Loci (QTLs) associated with metabolic, developmental, and immune-related pathways. This study provides the first comprehensive genome-wide CNV profile of Vietnamese indigenous chickens and offers a valuable genomic resource for investigating the genetic basis of breed-specific and adaptive phenotypes. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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