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PubMed2026

Chloroplast Haplotype Analysis Reveals High Genetic Similarity Among Central Asian Prunus Species.

Genetic variation in four wild Prunus taxa (P. fruticosa, P. erythrocarpa, P. verrucosa and P. griffithii var. tianshanica) was investigated for the first time using six chloroplast DNA regions (matK, r rpl16, ycf1_1, ycf1_2, ndhF and trnH-psbA) analysed through CAPS-based SNP detection. The results revealed weak chloroplast differentiation among P. erythrocarpa, P. verrucosa and P. griffithii var. tianshanica. However, chloroplast variation exhibited a strong geographic signal across the studied populations. The observed chloroplast variation primarily reflected geographic structuring rather than clear differentiation among these closely related taxa. In contrast, P. fruticosa showed distinct chloroplast haplotypes not shared with the other taxa. These findings demonstrate that the developed chloroplast CAPS marker system is effective for detecting chloroplast haplotype variation but has limited discriminatory power among closely related wild Prunus taxa. Further studies using nuclear markers and genome-wide approaches will be required to better resolve their genetic relationships and evolutionary history.

Haplotypes↗

PubMed2025

A Swedish genome-wide haplotype association analysis identifies novel candidate loci associated with endometrial cancer risk.

Genome-wide association studies [GWAS] have identified a limited number of endometrial cancer risk loci by analyzing single nucleotide polymorphisms [SNPs]. We hypothesized that analyzing haplotypes rather than SNPs could provide novel and more detailed information on genetic cancer susceptibility loci. To examine the association of a SNP or haplotype with endometrial cancer risk we performed a two-stage haplotype GWAS. The discovery GWAS included a sub-cohort of 1,116 Swedish endometrial cancer cases and 5,021 controls from previously published GWAS data. A sliding window analysis was employed with window sizes of 1-25 SNPs using a logistic regression model. The Swedish haplotype analysis identified 15 novel candidate risk loci (2q31.1, 4p16.1, 4p15.31, 6q13, 7p21.1, 9p13.3, 10q26.3, 11q21, 12q13.11, 13q12.11, 15q13.3, 16q24.3, 19q13.32, 20p12.3 and 22q13.2) with OR ranging from 1.6 to 3.3 and p-values from 4.25 × 10-8 to 9.86 × 10-15. A second replication haplotype analysis of the Swedish novel loci was performed using two cohorts from Belgium and Germany. In spite of small sample sizes in the replication cohorts, there was still support for most loci with positive ORs. In addition, the findings in the two European cohorts motivates further studies to search for founder haplotypes. These novel findings suggested that endometrial cancer loci, identified through haplotype analysis, conferred a higher risk compared to previous single-variant GWAS.

Humans↗

PubMed2026

Variants in the interferon regulatory factor 5 gene confer genetic risk for systemic lupus erythematosus in a Han Chinese population.

BACKGROUND: Interferon regulatory factor 5 (IRF5), integral to interferon signaling pathways, has been identified as a susceptibility locus for systemic lupus erythematosus (SLE). Nevertheless, the relationship between IRF5 variants and SLE risk within the Han Chinese demographic remains inadequately characterized. MATERIALS AND METHODS: Genotyping of two functional single nucleotide variants (SNVs) in IRF5 was conducted in 167 individuals with SLE and 246 healthy controls utilizing sequence-specific primer polymerase chain reaction (PCR-SSP). Chi-square and Fisher's exact tests were employed to assess associations. RESULTS: The rs10954213 variant demonstrated a significant association with SLE susceptibility under the recessive model (GG vs. AG+AA, OR = 2.20, 95% CI: 1.30-3.75, p = 0.003, adjusted p [pc] = 0.030) and homozygous model (GG vs. AA, OR = 2.43, 95% CI: 1.36-4.42, p = 0.003, pc = 0.032). Similarly, the rs2004640 variant was associated with an increased risk of SLE across allelic (T vs. G, OR = 1.66, 95% CI: 1.22-2.26, p = 0.001, pc = 0.011), dominant (TG+TT vs. GG, OR = 1.77, 95% CI: 1.19-2.63, p = 0.005, pc = 0.047), and homozygous models (TT vs. GG, OR = 3.72, 95% CI: 1.58-8.78, p = 0.002, pc = 0.016). Haplotype analysis identified protective haplotype HT1 (A/G, OR = 0.54, 95% CI: 0.41-0.73, p < 0.001) and risk haplotype HT4 (G/T, OR = 2.51, 95% CI: 1.42-4.42, p = 0.001). CONCLUSIONS: These findings indicate that IRF5 gene variants substantially modulate susceptibility to SLE in the Han Chinese population. They hold potential as biomarkers for evaluating SLE risk and offer valuable perspectives into disease pathogenesis.

Adult↗

PubMed2026

Natural variation in the PmbHLH162 promoter regulates anthocyanin biosynthesis and accumulation in Prunus mume.

Anthocyanin accumulation is a vital agronomic and ornamental trait, as it not only contributes to adaptation to environmental stress but also enhances ornamental value. In this study, a genome-wide association study (GWAS) was conducted using 328 accessions of mei (Prunus mume) to identify single-nucleotide polymorphisms (SNPs) associated with red pigmentation in petals, filaments, and xylem. Based on these significant SNPs, we defined 2 haplotypes (bHLH162hap1 and bHLH162hap2) and identified PmbHLH162, a bHLH transcription factor gene responsible for anthocyanin biosynthesis regulation. Transient silencing of PmbHLH162 in mei petals via Agrobacterium-mediated transformation resulted in significant color fading, whereas its overexpression dramatically elevated anthocyanin levels. Haplotype analysis showed that 2 promoter variants in bHLH162hap2 (Chr03_2669885 A/C and Chr03_2670272 A/G) alter the binding affinity of transcription factors PmWRKY18 and PmWRKY70. Stronger binding to the G/C alleles gave rise to higher PmbHLH162 expression in bHLH162hap2, thereby promoted red pigmentation in multiple tissues. By contrast, accessions carrying bHLH162hap1 displayed light/colorless phenotype without accumulation of red pigment. Furthermore, PmbHLH162 interacted respectively with PmMYC2, PmTT8, and PmEGL1 to form heterodimers, and markedly enhanced PmMYC2-mediated transcriptional activation of the anthocyanin biosynthetic structural genes PmCHS and PmANS. Geographic haplotype analysis revealed that bHLH162hap2 was predominantly enriched in high-latitude northern populations but was declining markedly at lower latitudes. Collectively, our study reveals the genetic and molecular basis underlying anthocyanin accumulation in mei and identifies a PmbHLH162-PmMYC2 regulatory module in which PmbHLH162 enhances PmMYC2-mediated activation of key anthocyanin biosynthetic genes. The additional interactions of PmbHLH162 with the MBW-associated bHLH factors PmTT8 and PmEGL1 further suggest potential crosstalk between this module and the canonical anthocyanin regulatory network.

Anthocyanins↗

PubMed2026

Evaluating Associations Between Ankylosing Spondylitis, Torque Teno Virus and Polymorphisms in Interleukin 6 and Vitamin D Receptor Genes.

The etiology of ankylosing spondylitis (AS) is complex and not yet fully understood. Interleukin-6 (IL-6), vitamin D and the vitamin D receptor (VDR) play an important role in modulating immune response, and Torque teno virus is considered a marker of immune status. This case-control study aimed to investigate the predisposition to AS. A total of 85 patients with AS and 100 clinically healthy individuals were included. VDR polymorphisms (rs2228570, rs1544410, rs7975232, rs731236) were genotyped using the PCR-RFLP technique, while for the IL-6 -174 G>C (rs1800795) polymorphism the tetra-primer ARMS-PCR technique was used. The presence of TTV was detected using the hemi-nested PCR technique. Our findings indicate a statistically significant association between TTV and AS (p = 0.035). C allele of both rs1800795 polymorphism in main groups (p = 0.027) and rs731236 polymorphism in women subgroups (p = 0.036) may be linked to an increased susceptibility to AS. However, none of these associations reach statistical significance after Bonferroni correction. Furthermore, within female subgroups, a significant association was found between the T allele of rs1544410 polymorphism and AS (p = 0.000038, corrected p = 0.00076). A significant association was also observed between the TT genotype of rs2228570 polymorphism, TTV and AS (p = 0.029). Haplotype analysis revealed that certain VDR haplotypes may confer either a protective effect against AS or an increased risk of developing the condition. Notably, rs1544410 polymorphism or a linked polymorphism may influence AS susceptibility. In conclusion, our data suggest that TTV and VDR polymorphisms may be associated with an increased risk of developing AS, indicating that these markers could potentially be used in the future for earlier diagnosis and more targeted treatment of the disease.

Torque teno virus↗

PubMed2026

High-Density Genome-Wide Association Mapping Identifies Candidate Loci Associated with Maize Stalk Cell Wall Composition.

Maize (Zea mays L.) stalk cell wall composition is a key determinant of forage digestibility, lodging resistance, and biomass utilization efficiency. Although previous genome-wide association studies (GWAS) have identified loci associated with lignin (LIG), cellulose (CEL), and hemicellulose (HC), advances in genomic resources provide an opportunity to revisit existing phenotypic datasets at substantially higher resolution. Here, we re-analyzed a maize association panel consisting of 341 diverse inbred lines using an expanded genotype dataset containing 10.77 million SNPs, two derived compositional indices (CEL/HC and [LIG/(CEL + HC)], and six complementary GWAS models. Across all traits and models, we identified 855 unique significant SNPs associated with 579 candidate genes. Among the traits examined, LIG/(CEL + HC) yielded the greatest number of associations, suggesting that indices representing the relative balance among cell wall components may better capture the genetic architecture of cell wall composition than individual component measurements alone. Integration of multiple GWAS models with functional enrichment, haplotype, and selective sweep analyses prioritized three biologically relevant candidate genes encoding a MYB58 transcription factor, the glycosyltransferase Xt9, and a putative xyloglucan 6-xylosyltransferase. Haplotype analysis revealed significant effects of Xt9 and the xyloglucan 6-xylosyltransferase on cell wall composition, while selective sweep analysis identified Xt9 as a target of repeated selection during maize domestication, ecological adaptation, and modern breeding. Although these candidate genes provide promising targets for future investigation, the associations identified here are based on a single association panel and require functional and independent population validation. Collectively, our results demonstrate how high-density genotyping combined with complementary GWAS models can refine candidate associations and generate testable hypotheses from existing phenotypic datasets.

cell wall composition↗

PubMed2026

Genetic determinants of gestational diabetes mellitus in thai pregnant women: role of GCKR, CDKAL1, TCF7L2, NEDD1, and CMIP variants.

BACKGROUND: Gestational diabetes mellitus (GDM) has a high global prevalence and arises from complex interactions between genetic predisposition and environmental factors. GDM is associated with metabolic disturbances and chronic low-grade inflammation, both of which contribute to its pathogenesis. This study aimed to investigate the association between GDM and 135 single-nucleotide polymorphisms (SNPs) across 20 genes related to metabolic traits. METHODS: In this case-control study, 152 pregnant women with GDM and 684 pregnant women with normal glucose tolerance (NGT) who underwent antenatal examination at Siriraj Hospital, Bangkok, were enrolled. Clinical data and blood samples were collected from all participants. Genomic DNA was isolated and subjected to whole-genome sequencing using the DNBSEQ-T7RS high-throughput sequencing platform. Genotype analyses were performed using R software, and haplotype analyses were conducted using the online SNPStats software. RESULTS: After adjusting for maternal age and pre-pregnancy body mass index, polymorphisms in TCF7L2 (rs34872471, rs7901695, rs4506565, rs7903146, rs12243326, and rs12255372), NEDD1 (rs10431408, rs11830756, rs249579, rs249585, and rs4762339), CMIP (rs2306115 and rs201681534), CDKAL1 (rs4710942), GCKR (rs2293572 and rs2293571), and GCK (rs5883890) were significantly associated with the risk of GDM. Haplotype analysis demonstrated that the TCF7L2 rs12243326-rs12255372 CA haplotype was associated with a decreased risk of GDM (OR = 0.44, 95% CI: 0.23-0.81), while the NEDD1 rs249579-rs249585-rs4762339 GGT haplotype was associated with an increased risk of GDM (OR = 1.40, 95% CI: 1.08-1.82). CONCLUSIONS: These findings suggest that genetic variations in TCF7L2, NEDD1, CMIP, CDKAL1, GCK, and GCKR contribute to GDM susceptibility in the Thai population.

Humans↗

PubMed2026

Integration of GWAS and WGCNA reveals novel candidate genes for cottonseed oil content in Gossypium hirsutum L.

Genetic improvement of cottonseed oil content represents a crucial strategy for enhancing the comprehensive utilization of cotton. Here, genome-wide association study (GWAS) and weighted gene co-expression network analysis (WGCNA) were integrated to elucidate the genetic control underlying oil content. Phenotypic evaluation of 159 cotton accessions revealed extensive genetic variation, with kernel oil content ranging from 17.81% to 39.50%. Population structure analysis based on 20,213 single nucleotide polymorphisms (SNPs) classified the accessions into two major subpopulations. A total of 18 SNPs exhibited significant associations with oil content, two of which were stably detected across multiple environments using the FarmCPU model. Further haplotype analysis within linkage disequilibrium (LD) blocks confirmed a favorable haplotype on chromosome A05 that was strongly correlated with elevated oil content. Integration of publicly available transcriptome data from 11 ovule developmental stages with WGCNA identified modules significantly linked to oil content. Of the 74 candidate genes within LD intervals, 17 were assigned to WGCNA modules. Functional annotation and enrichment analyses highlighted four putative candidate genes (GH_A05G1503, GH_A05G1506, GH_A05G1531, and GH_A10G2150) involved in oil biosynthesis. These findings deepen our understanding of the genetic mechanisms governing cottonseed oil biosynthesis and lay a foundation for breeding high-oil cotton varieties.

Gossypium↗

PubMed2026

Dissecting genetic architecture and improving machine learning‑based genomic prediction of flowering time in Osmanthus fragrans by integrating structural variants.

Sweet osmanthus (Osmanthus fragrans), a traditional ornamental plant in China, exhibits substantial variation in autumn flowering time, which significantly affects landscape application and cultivation efficiency. Here, we performed a genome-wide association study on 127 resequenced accessions classified into early, intermediate, and late flowering types, using a set of 2,325,410 single-nucleotide polymorphisms (SNPs) and 246,824 structural variants (SVs). By integrating SNP/insertion and deletion (Indel) and SV data with weighted gene co-expression network analysis, machine learning, and genomic prediction, we dissected the genetic architecture of flowering time. We identified 24 associated SNP/Indels and six SVs, mapping to 30 candidate genes, including known flowering regulators FLK, LOS1, Y14, MIF2, and GID1B. These genes showed tissue-specific expression, with some responding to low temperature. The two hub genes, GUX1 and LYG027904, were located within modules of the co-expression network associated with low-temperature treatment. Haplotype analysis revealed a specific three-SNP haplotype associated with late flowering and linked to LOS1, and epistatic interactions among combined genotypes contributed to phenotypic variation. Notably, integrating SVs with SNP/Indels improved genomic prediction accuracy; the gradient boosting decision tree model outperformed other machine learning algorithms, achieving a mean accuracy of 0.859 and an AUC > 0.8 (where AUC is area under receiver operating characteristic curve) for all flowering types. These findings provide insights into the genetic mechanisms underlying flowering time variation in O. fragrans, offer candidate genes and haplotypes for molecular breeding, and highlight the value of integrating SVs with machine learning for genomic prediction in woody ornamentals.

Machine Learning↗

PubMed2026

Identification and characterization of PsFwC9 conferring Fusarium wilt resistance in pea.

Pea (Pisum sativum L.) is one of the most important edible legumes in China, with both planting area and total yield ranking among the highest in the world. Fusarium wilt, caused by Fusarium oxysporum f. sp. pisi (Fop), is a severe factor limiting pea production. The deployment of resistant pea cultivars is the most effective and sustainable strategy for controlling this disease. In the present study, a novel resistance gene PsFwC9, conferring resistance to Fop race 5, was identified in the resistant pure line Chengwan 9-8 (CW9-8), and its candidate gene Psat4g213640 was characterized and functionally validated to be associated with disease resistance. Genetic analysis of the F₂ population derived from the cross between the resistant parent CW9-8 and the susceptible parent Chengwan 9-1 (CW9-1) revealed that PsFwC9 was controlled by a single dominant gene. Based on whole-genome resequencing, bulked segregant analysis sequencing (BSA-seq) and fine mapping, PsFwC9 was localized to an 817.06-kb region on chromosome 4 (i.e. linkage group IV, chr4LG4), flanked by KASP markers A016508 and A016511, and co-segregated with four markers. Haplotype analysis revealed that only the marker A016615 was significantly associated with Fusarium wilt resistance, and this marker was designated as a diagnostic marker for PsFwC9. Marker A016615 was located at 425 699 725 bp on chr4LG4, corresponding to the 277 bp within Psat4g213640, where a 'A/G' single-nucleotide polymorphism caused an amino acid substitution leading to an alteration in protein structure; therefore, Psat4g213640 was identified as the PsFwC9 candidate gene. Quantitative real-time PCR analysis showed no significant difference in the expression levels of Psat4g213640 between CW9-8 and CW9-1. Overexpression of the candidate gene Psat4g213640CW9-8 in the hairy root system significantly enhanced the resistance of CW9-1 to Fusarium wilt, whereas RNA interference-mediated silencing of Psat4g213640CW9-8 reduced the resistance of CW9-8, indicating that Psat4g213640CW9-8 played a crucial role in pea resistance to Fusarium wilt. In addition, subcellular localization showed that the protein encoded by Psat4g213640 was targeted to the endoplasmic reticulum. Collectively, these findings not only enriched the gene resources for disease resistance in pea and provided an important foundation for elucidating the molecular mechanism of PsFwC9-mediated resistance, but also provided important technical support for the practical application of molecular breeding for disease resistance in pea.

Journal Article↗

PubMed2026

Clone and characterization of a cytochrome P450 gene for drought tolerance in rice.

BACKGROUND: Drought is a major abiotic stress limiting rice production worldwide. Identifying genes that enhance drought tolerance is essential for breeding resilient varieties. RESULTS: In this study, we report the map-based cloning and functional characterization of DT1, a novel cytochrome P450 gene conferring drought tolerance in rice. Using near isogenic lines (NILs) derived from a cross between Xiang743 and Katy, we delimited DT1 into a 115 kb interval on chromosome 3, where contains 18 open read frames (ORFs). Quantitative real-time polymerase chain reaction (qRT-PCR) analysis identified Os03g55250 as the candidate gene. Clustered regularly interspaced short palindromic repeats-associated nuclease 9 (CRISPR/Cas9) knockout mutants of Os03g55250 exhibited increased drought sensitivity, while overexpression lines showed enhanced drought tolerance, confirming that Os03g55250 was the target gene and positively regulates drought resistance. DT1 was mainly expressed in stems, leaves, and leaf sheaths, and the DT1 protein localized in the endoplasmic reticulum. Haplotype analysis identified Hap1 as a favorable allele in japonica rice. CONCLUSIONS: Our findings provide a promising genetic resource for breeding drought-resistant rice varieties and offers new insights into the role of P450 genes in abiotic stress adaptation.

Oryza↗

PubMed2026

Alternatively spliced killer-protector system confers S19-mediated hybrid male sterility in rice.

Hybrid sterility limits the use of strong interspecific heterosis and S19 is a major locus that confers hybrid sterility between Oryza sativa (Asian cultivated rice) and Oryza glaberrima (African cultivated rice). However, the S19 is not yet cloned and its underlying mechanism remains elusive. In this study, we identify two closely linked genes (S19A1 and S19A7) specific to African rice allele that encode a killer-protector module at the S19 locus. Two alternatively spliced transcripts expressed from the killer gene S19A1 (S19A1.1 and S19A1.2) encode mitochondria-targeted cytotoxic proteins that cause toxicity diversity for somatic and/or gametic cell death, respectively. However, S19A7 interacts with S19A1.1 and S19A1.2, blocking their cytotoxic effect. Because the Asian rice S19 allele lacks S19A1 and S19A7, male gametes that carry this allele are selectively aborted in Asian-African F1 hybrids. Knockout of S19A1 can overcome S19-mediated hybrid sterility. Haplotype analysis reveals that the functional S19 allele is absent in non-AA-genome Oryza species and likely emerged in the O. barthii-O. glaberrima lineage through a multi-step evolutionary process. Our findings provide insight into the genetic mechanisms responsible for hybrid sterility between Asian and African rice and suggest genetic and biotechnological strategies for the use of interspecific heterosis in rice.

Oryza↗

PubMed2026

A next-generation sequencing-based pharmacogenetic study of ABCB1, ABCC1, and ABCC2 variants associated with antiseizure medication response in Turkish epilepsy patients.

OBJECTIVES: Epilepsy is a chronic neurological disorder characterized by a tendency to have recurrent seizures due to abnormal and excessive neuronal activity in the brain. Genetic variants in adenosine triphosphate (ATP)-binding cassette (ABC) transporter genes, including ABCB1, ABCC1, and ABCC2, may contribute to pharmacoresistance in epilepsy by altering the transport of anti-seizure medications (ASMs) across the blood-brain barrier (BBB). This study aims to explore genetic polymorphisms in the ABCB1, ABCC1, and ABCC2 genes in Turkish epilepsy patients and to assess their impact on responsiveness to ASMs. METHODS: Targeted next-generation sequencing was used for molecular genotyping of the ABCB1, ABCC1, and ABCC2 genes in genomic DNA from 35 patients. RESULTS: A total of nine common variants were analyzed in ABCB1 (rs2032582, rs1045642, rs1128503), ABCC1 (rs35626, rs212087, rs246221), and ABCC2 (rs717620, rs22773697, rs3740066). A statistically significant association was found between ABCB1 rs2032582:T>G and ASMs response in the recessive model (TT + TG vs. GG, p = 0.018, OR = 13.13; 95% CI: 1.69-160.1; Benjamini-Hochberg (BH) FDR-adjusted q = 0.09), with the TT + TG genotypes being more frequent among drug-responsive patients. Haplotype analysis showed that only the ABCB1 rs2032582 G allele was significantly more frequent in drug-persistent patients compared with drug-responsive patients (χ2 = 3.916, p = 0.047). However, none of these associations remained statistically significant after false discovery rate (FDR) correction, and all findings should therefore be interpreted as exploratory. SIGNIFICANCE: The findings suggest that the ABCB1 rs2032582:T>G polymorphism may be associated with variability in treatment response among Turkish epilepsy patients. These results emphasize the potential involvement of ABC transporter-mediated drug efflux mechanisms in impacting the effectiveness of ASMs.

ABCB1↗

PubMed2026

Genomic resources to advance seed coat color and patterning genetics and breeding in common bean (Phaseolus vulgaris L.).

Seed coat color and patterning are key quality traits in common bean (Phaseolus vulgaris L.) that define market classes and strongly influence consumer preference and market value. These traits are controlled by a complex network of major genes (sometimes with epistatic interactions), which complicates the recovery of desired market class phenotypes following inter-market class hybridization. Although many of the underlying loci have been genetically mapped, diagnostic, high-throughput molecular markers for efficient allele tracking across the Middle American and Andean gene pools remain limited. In this study, we developed and validated 24 gene-specific PCR Allele Competitive Extension (PACE) markers targeting seven major seed coat color genes (G, B, V, J, Rk, T, and Z) and two patterning genes (CPi and CSt), together with a previously reported marker associated with the postharvest seed coat darkening locus (Psd). An additional PACE marker targeting the Phaseolin (Phs) locus was developed to distinguish Middle American (S-type) and Andean (T-type) gene pools, providing a complementary tool for assessing genetic background alongside seed coat-specific loci. Marker performance was evaluated across three diverse panels, revealing high diagnostic accuracy for most loci (90%-100%). However, for loci such as J, V, Rk, T, and Z, allele-specific markers or marker combinations were required to capture full allelic diversity. Haplotype analysis further revealed substantial allelic diversity across market classes and identified background-specific interactions. Collectively, these results provide a comprehensive set of high-resolution, gene-anchored PACE markers for seed coat color, patterning, and gene pool classification in common bean. These markers enable rapid and precise allele tracking in breeding populations and germplasm collections, facilitating marker-assisted selection for market class-specific seed coat traits and accelerating genetic improvement.

Phaseolus↗

PubMed2026

The Jumonji C domain-containing proteins GmJMJ19 and GmJMJ20 link florigen signaling with epigenetic regulation of photoperiodic flowering and post-flowering plant height in soybean.

Soybean (Glycine max) is a photoperiod-sensitive legume whose latitudinal adaptation depends on the precise control of flowering time and plant height. Histone demethylases of the JmjC domain-containing (JMJ) protein family have been implicated in these processes across plant species, but their specific roles in soybean remain largely unexplored. Here, we identify soybean GmJMJ19 and GmJMJ20, two closely related JMJD5/KDM8 orthologs, as master epigenetic regulators that coordinately control both photoperiodic flowering and post-flowering plant height. Both genes exhibit intrinsic, rhythmic expression peaking at ZT12, and their encoded proteins physically interact with the florigen proteins FT2a and FT5a. Loss-of-function mutants display delayed flowering under long days (LDs) and increased plant height under both LDs and short days (SDs), whereas overexpression phenocopies the mutant flowering phenotype, indicating revealing a critical dosage requirement for proper function. Mechanistically, GmJMJ19 and GmJMJ20 are recruited by the FT/FD transcriptional complex to directly activate AP1a and AP1c expression through chromatin modulation. Population genomic analyses reveal distinct selection signatures: GmJMJ19 underwent sustained directional selection during cultivation, whereas GmJMJ20 experienced an early domestication sweep with limited subsequent change. Haplotype analysis identifies coordinated latitudinal clines, with the JMJ19H1/JMJ20H1 combination predominating at high latitudes to promote early flowering and limit height, while JMJ19H2/JMJ20H2 and wild JMJ19H3/JMJ20H3 alleles prevail at low latitudes, conferring later flowering and increased height. Collectively, our findings establish GmJMJ19 and GmJMJ20 as central chromatin regulators linking florigen signaling to downstream target expression and provide valuable allelic resources for breeding regionally adapted soybean varieties across a wide range of latitudinal environments.

Histone modulation↗

PubMed2026

A robust biotechnology induces artificial genomic duplication via transient RNAi-mediated suppression of OSD1 in rice.

Ploidy manipulation is a crucial strategy for generating germplasm in crop breeding. However, artificial genomic duplication, often induced by colchicine treatment, is associated with toxicity and unpredictability. Although mutations in OSD1 have shown promise for inducing genomic duplication, the instability of ploidy across generations limits their practical application. In this study, we developed a Plant Polyploidization via Gene Interference (PPGI) system that utilizes transient RNAi-mediated suppression of OSD1 to efficiently induce artificial genomic duplication, demonstrating obvious potential for producing autotetraploids. We first validated this system by successfully generating PPGI-induced autotetraploid plants from the Taichung65 cultivar. These PPGI-induced plants exhibited notable differences from Taichung65 but resembled the existing Taichung65-4x line obtained through colchicine treatment. Haplotype analysis indicated that the OSD1 RNAi fragment is conserved across 2,908 rice cultivars. Consequently, we employed the same PPGI vector to develop autotetraploid lines from various germplasms, including another japonica cultivar, seven indica cultivars, and one Oryza rufipogon line. The probability of genomic duplication achieved by our PPGI method was higher than that obtained by colchicine treatment. Typically, autotetraploid lines exhibit severe sterility in the first generation following polyploidization. Leveraging fertile neo-tetraploid rice and the PPGI system, we designed and verified two strategies to directly induce fertile autotetraploid germplasms in the first generation, thereby substantially shortening the breeding cycle. Our method provides a universal, efficient, and non-toxic approach for inducing autotetraploid rice germplasms and contributes to enriching fertile autotetraploid rice germplasm resources.

OSD1↗

PubMed2025

Exploring genomic regions and genes modulating plant height and flag leaf morphology in rice.

Plant height and flag leaf morphology critically affect plant yield because they determine above-ground plant biomass and photosynthate production. However, few genetic basis analyses and gene mining studies on plant height, flag leaf length, and flag leaf width have been performed, and there is little available information about the evolution and utilization of the underlying natural alleles. This study conducted a genome-wide association study (GWAS) using 689 rice accessions collected from diverse regions across the globe. The GWAS identified 73, 159, and 158 significant loci associated with plant height, flag leaf length, and flag leaf width, respectively. SD1HAP1 and NAL1A were also identified as superior alleles that could be used to improve plant architecture by reducing plant height and increasing flag leaf width, respectively. LEAF1 and its elite allele LEAF1G, which simultaneously modulated plant height and flag leaf morphology, were isolated, and the LEAF1 knockout lines showed reduced flag leaf length and plant height, whereas LEAF1G-complementary lines in the LEAF1A background had the opposite phenotypes. The results also showed that LEAF1G and SD1HAP1 evolved directly from wild rice and were mainly found in the Xian subgroup, whereas NAL1A might have originated from de novo mutation during domestication and was mainly found in the Geng subgroup. A joint haplotype analysis revealed that pyramiding SD1HAP1, NAL1A, and LEAF1G in Type I accessions optimized plant architecture, reduced plant height, and enlarged the flag leaves. In addition, genomic regions and genes that had been convergently selected for these traits were identified by combining a population genetics analysis with a GWAS. These findings provide valuable genetic targets for molecular breeding that will improve plant height and flag leaf morphology in rice.

Oryza↗

PubMed2025

Genome-wide association study reveals that TaODORANT1 negatively contributes to thousand grain weight by affecting starch synthesis in wheat.

Thousand grain weight (TGW) is one of the most important factors that control grain weight and crop yield. To date, dozens of wheat genes related to TGW have been isolated; however, the underlying molecular mechanisms governing grain development in wheat (Triticum aestivum) remain largely unknown. Benefiting from whole-genome resequencing and genome-wide association study, we identified an R2R3-type myeloblastosis (MYB) transcription factor, TaODORANT1, which was tightly associated with TGW. TaODORANT1 was specifically and highly expressed during the wheat grain developing stage. Knockout of TaODORANT1 led to an increase in TGW and starch content, as well as affected the expression of starch synthesis-related genes. Loss of function of TaODORANT1 altered the molecular structure and physiochemical properties of grain starch. Haplotype analysis showed that favorable Hap IV of TaODORANT1-A and favorable Hap I of TaODORANT1-B were significantly associated with the production of larger grains and higher TGW, respectively. Moreover, TaODORANT1 was a crucial targeted gene continuously selected in wheat domestication and breeding, and its orthologous genes might have retained similar functions in response to grain development. Our results highlight the importance of TaODORANT1 in affecting TGW, presenting potential targets for improving yield in wheat.

Triticum↗