Genes最新文献

Background/Objective: Maize (Zea mays L.) is a globally important cereal crop widely cultivated for food, feed, fodder, biofuel production, and various industrial applications. Maize landraces represent a valuable source of genetic diversity that supports adaptationand resilience across diverse agroecological environments. However, evidence on phenotypic diversity based on agro-morphological traits in these landraces remains fragmented across regions and varying analytical approaches. This review synthesized global evidence on phenotypic variation, heritability patterns, experimental designs, statistical methods, and the extent of integration between phenotypic and molecular data. Methods: A systematic literature search was conducted in GoogleScholar, ScienceDirect, PubMed and AGRIS for studies published between 2000 and 2025 evaluating phenotypic diversity in maize landraces. The review followed PRISMA 2020 guidelines, and f50 studies from 30 countries met the eligibility criteria. Results: Substantial and structured phenotypic diversity was consistently reported across studies, with flowering time, plant architecture, and ear and kernel traits emerging as major contributors to landrace differentiation. Traits with moderate to high heritability were mainly morphological and phenological, suggesting relative genetic control and potential suitability for phenotypic selection. In contrast, grain yield showed greater environmental sensitivity and variable heritability, reflecting complex inheritance and genotype × environment interactions. Although molecular markers were incorporated in a some studies, integrative analyses linking phenotypic and genetic data remained limited. Conclusions: Phenotypic evaluation remains a reliable approach for characterizing maize landrace diversity. However, standardized methodologies, greater integration with molecular data and cross-environment validation are needed to strengthen inference and utilization in breeding and conservation. The review also provides recommendations for improving agro-morphological assessment in maize landraces.

Background/objectives: Osteoporosis is a systemic skeletal disorder characterized by reduced bone mass and microarchitectural deterioration, resulting in an increased risk of fragility fractures, particularly vertebral fractures. Genetic factors are considered important in osteoporotic fracture susceptibility, and polymorphisms of the vitamin D receptor (VDR) gene have been widely studied because of their role in bone metabolism. To evaluate the distribution of VDR gene polymorphisms (FokI, BsmI, ApaI, and TaqI) in patients with osteoporotic vertebral fractures and to assess their association with fracture susceptibility.

Methods: This case-control study included 86 individuals: 43 patients who underwent vertebroplasty for osteoporotic vertebral fractures and 43 osteoporotic individuals without vertebral fractures serving as controls. VDR gene polymorphisms ApaI, TaqI, BsmI and FokI were analyzed using real-time polymerase chain reaction. Genotype distributions were compared using Fisher's exact test, and Hardy-Weinberg equilibrium was evaluated.

Results: A significant difference between groups was observed only for the ApaI polymorphism (p = 0.002). The GG genotype was more frequent in patients, whereas the variant genotypes (GT and TT) were more prevalent in controls. The GG genotype was associated with an increased risk of vertebral fractures, while the presence of variant genotypes may be associated with reduced fracture susceptibility. No significant associations were found for TaqI, BsmI, or FokI polymorphisms.

Conclusions: The ApaI polymorphism of the VDR gene may represent a protective genetic factor against osteoporotic vertebral fractures. In contrast, no associations were identified for the TaqI, BsmI, or FokI polymorphisms in this cohort. Larger studies in diverse populations are required to confirm these findings and to clarify the role of VDR gene variants in fracture susceptibility.

Background/objectives: Alloantigen H is one of thirteen systems in the chicken. Little is known about this system which has two serological alleles. The objectives of this study were (1) to identify the genetic region encoding the chicken alloantigen H, and (2) to develop DNA detection-based methods to aid H system allele identification.

Methods: SNP genotypes from Axiom chicken SNP arrays were established for samples with known H system serological types. Sources of DNA included two elite Hy-Line White Leghorn lines segregating for alloantigen H, non-pedigreed samples from the Northern Illinois University (NIU) DNA bank, plus inbred line samples. Sequence information was also available for the commercial and inbred lines.

Results: GWAS results from the elite Hy-Line lines and NIU DNA bank samples showed a very strong peak in the same 4.20-4.30 Mbp region on chromosome 24. Predicted cell membrane expression and the presence of non-synonymous SNP were criteria to identify candidate genes. Seven genes in this region have membrane-associated products: MCAM (CD146), THY1, MFRP, CLDN25, KCNJ14L, ABCG4, and PDZD3. However, only MCAM had an SNP variation that matched the serological haplotypes. Lines known to be segregating for the H system had concordance rates between serological results and SNP haplotype of 95% for both the elite HYL lines and 99% for the NIU samples, indicating that the MCAM (CD146) gene encodes the chicken H blood system.

Conclusions: The gene product is a cell adhesion molecule affecting multiple activities including angiogenesis, development, cell differentiation, cell migration, signaling transduction, and immune responses. Long, short, and soluble isoforms are found in chickens. The described DNA-based typing methods facilitate future investigations to examine H haplotype frequencies in lines with identified differential responses such as growth or immune responses. Determining H haplotype association with egg production, feed conversion, and other traits with economic importance will aid in determining the significance of this immune-related gene in overall poultry health.

Background/Objectives: Sex differences influence skin physiology, immune regulation, and disease susceptibility, but the cellular organization of sex-biased transcriptional programs in healthy human skin remains incompletely defined. We aimed to define sex-associated differences in cellular composition and gene expression in healthy adult truncal skin at single-cell resolution. Methods: We constructed a sex-resolved single-cell transcriptomic atlas of healthy human truncal skin by integrating scRNA-seq data from 12 donors (5 males, 7 females). After quality control, 107,967 cells were classified into 14 major cell types. Sex-associated differences were assessed using donor-level pseudo-bulk analyses at both whole-skin and cell-type-resolved levels. Results: The cellular composition was conserved between sexes, with significant differences in mast cells and regulatory T cells. Whole-skin pseudo-bulk analysis identified distinct male-biased and female-biased transcriptional programs. Male-biased signals were linked to extracellular matrix organization and immune responses, while female-biased signals involved ion transport and neuromodulation. Cell-type-resolved analysis revealed that most sex-biased genes were lineage-specific, with minimal cross-lineage sharing. Conclusions: Sexual dimorphism in healthy human truncal skin is encoded through lineage-structured transcriptional regulation rather than broad compositional changes, providing a framework for understanding sex-biased skin homeostasis and disease susceptibility.

Background: The Garifunas are a distinctive Afro-indigenous community of Honduras, originating from the historical admixture of Island Carib, Arawak, and West African peoples in the seventeenth-century Caribbean. With an estimated 43,111 individuals residing primarily along the northern Atlantic coast. Their dual ancestral composition yields a genetic profile that differs meaningfully from those of other Honduran reference populations, consistent with pairwise FST comparisons with previously published Lenca and Tawahka datasets generated on the identical platform; yet no population-specific short tandem repeat (STR) reference dataset had previously been established. Methods: We genotyped 23 autosomal STR loci using the PowerPlex Fusion 6C System (Promega Corporation) in 100 unrelated Garifuna individuals (70 females, 30 males) sampled from three coastal settlements in the department of Atlántida: Triunfo de la Cruz, Ensenada, and Corozal. DNA was extracted from blood collected on FTA cards, and statistical parameters were computed using Genepop v4.2 and Arlequin v5.3.2.2. Results: A total of 217 distinct alleles were identified, with 5 to 19 alleles per locus (mean 9.43 ± 3.54). Expected heterozygosity (He) ranged from 0.6392 (D13S317) to 0.9010 (SE33), with a population mean of 0.7893. No locus deviated from Hardy-Weinberg equilibrium after Bonferroni correction (α = 0.0022). The combined random match probability was approximately 1.9 × 10^-26, and the combined chance of exclusion reached 99.99999993%. Conclusions: This study provides the first Honduran Garifuna population-specific autosomal STR reference database for precise forensic likelihood ratio estimates, kinship assessments, and population genetic studies. The Garifuna's high diversity-consistent with their West African and Amerindian ancestry-indicates the risk of systematic bias when non-specific databases are used.

Background: Breast cancer susceptibility gene 1 (BRCA1) is a pivotal regulator of DNA repair, and its loss through germline mutations is strongly linked to the development of aggressive breast cancers with characteristic clinical and pathological features. Beyond genetic disruption, epigenetic silencing via promoter hypermethylation has emerged as a non-mutational mechanism of tumour suppressor inactivation and a potential biomarker for guiding therapeutic decisions. Here, we investigate BRCA1 promoter methylation, its impact on gene expression, and its association with clinicopathological features in a cohort of African women with breast cancer. Methods: Matched tumour and adjacent normal tissues from 27 Black African women with breast cancer were analysed for BRCA1 promoter methylation and gene expression using bisulfite pyrosequencing and quantitative real-time PCR. Associations with clinicopathological variables were assessed using Spearman's correlation analyses. Results: Five CpG sites within the BRCA1 promoter were significantly hypermethylated in breast tumours compared with matched adjacent normal tissues and showed an inverse association with BRCA1 mRNA expression. Elevated promoter methylation was enriched in hormone receptor-negative and triple-negative breast cancer subtypes and was not influenced by neoadjuvant chemotherapy. BRCA1 promoter methylation occurred independently of BRCA1 mutational status. No significant associations were observed between BRCA1 methylation and age, body mass index, smoking status, or alcohol consumption. Conclusions: Our findings provide evidence of BRCA1 epigenetic silencing in breast tumours from African women, particularly within aggressive hormone receptor-negative subtypes. These results suggest that BRCA1 promoter methylation may represent a clinically informative biomarker for patient stratification and highlight the importance of validation in larger, population-representative cohorts before clinical translation.

Background: Sulfate transporters (SULTRs) are integral membrane proteins responsible for sulfate uptake, translocation, and plant adaptation to abiotic stresses. However, knowledge regarding the SULTR gene family in the economically important crop, Brassica rapa (Chinese cabbage), limited. The aim of this study is to conduct a genome-wide identification and functional characterization of BrSULTR genes and to explore their potential functions under abiotic stress.

Methods: We identified 19 BrSULTR genes in the B. rapa genome by performing homology searches with Arabidopsis thaliana SULTR sequences as queries. Subsequent bioinformatics analysis included phylogenetic classification, chromosomal localization, gene structure, conserved motif dissection, cis-regulatory element prediction, and protein-protein interaction (PPI) network analysis. Tissue-specific expression profiles of BrSULTRs were assessed using publicly available transcriptome data. Furthermore, their expression dynamics under salt (150 mM NaCl) and low-temperature (4 °C) stress were investigated by integrating transcriptomic, proteomic, and qRT-PCR data.

Results: The 19 identified BrSULTR members were phylogenetically categorized into four subfamilies and were mapped unevenly across seven chromosomes. Promoter analysis identified an array of cis-regulatory elements associated with development, hormone response, and stress response. Expression profiles revealed distinct tissue-specific patterns in roots, stems, leaves, flowers, and siliques. Under salt stress, BrSULTR13 was significantly upregulated, while BrSULTR9 and BrSULTR11 were significantly suppressed under low-temperature stress. PPI network projection indicated that the Arabidopsis homologs of BrSULTR5 may physically interact with stress-regulating enzymes such as APS and APR.

Conclusions: Our work presents a comprehensive genomic and functional overview of the BrSULTR gene family in B. rapa. The results underscore the potential functions of BrSULTRs, highlighting their involvement in sulfate transport and abiotic stress responses. These insights establish valuable insights and a foundation for further research aiming at improving stress tolerance in B. rapa through the manipulation of sulfur metabolism pathways.

Background: Breast cancer (BC) is one of the most diagnosed malignancies and a leading cause of cancer-related mortality among women worldwide, thereby posing a substantial threat to women's health worldwide. However, clinically robust diagnostic biomarkers with high sensitivity and specificity, as well as well-validated molecular targets for targeted therapy, remain limited.

Methods: BC transcriptomic data from seven GEO datasets and the TCGA-BRCA cohort (n = 1231) were integrated for analysis. After batch-effect correction, candidate genes were screened through DEA, WGCNA, and PPI networks analysis. An ensemble machine learning (ML) framework incorporating 127 algorithmic combinations was constructed, and SHAP analysis was applied to identify hub genes. Further analyses included functional enrichment, immune infiltration, miRNA regulatory network analysis, and SMR analysis. The expression patterns were validated using single-cell transcriptome data. Drug repositioning analysis and AI-assisted virtual screening were performed to prioritize compounds with favorable drug-like properties. The predicted binding modes of candidate compounds with CHEK1 were assessed by molecular docking.

Results: Thirty core genes were obtained through differential expression, WGCNA, and PPI screening. Integrated ML (127 algorithms) determined the optimal model (AUC = 0.919), and SHAP identified nine feature genes, among which CHEK1 and KIF23 showed preliminary diagnostic potential across four external cohorts (AUC: 0.625-0.938). Functional enrichment indicated that both are enriched in the cell cycle and p53 pathways, closely associated with BRCA1/ATR; immune infiltration revealed significant correlations with macrophages and CD8⁺ T cells, with hsa-miR-15a-5p and hsa-miR-607 being common upstream regulatory miRNAs. SMR analysis supported a causal relationship between CHEK1 expression and BC genetic susceptibility (p_SMR < 0.05, p_HEIDI > 0.05); single-cell analysis confirms its heterogeneous expression. AI-assisted virtual screening identified 25 A-grade computational candidate compounds from 171 candidates. Molecular docking suggested that Olaparib and LY294002 can form favorable interactions with the CHEK1 active pocket.

Conclusions: The study identified CHEK1 as a key diagnostic gene for BC through 127 ML algorithms and SMR causal inference. By combining AI-assisted virtual screening and molecular docking, computational candidate compounds targeting CHEK1 were prioritized. These findings represent hypothesis-generating in silico predictions and require experimental validation before any therapeutic conclusions can be drawn.

Background/Objectives: Inherited retinal diseases (IRDs) represent a genetically heterogeneous group of disorders caused by mutations in over 280 genes with more than 3100 identified variants. While gene-specific replacement therapies have achieved landmark success with voretigene neparvovec (Luxturna) for biallelic RPE65-associated retinal dystrophy, developing individual therapies for each genetic subtype remains impractical. This review examines gene-agnostic therapeutic approaches utilizing neuroprotection and immunomodulation that target common pathophysiological mechanisms shared across multiple IRD genotypes. Methods: We reviewed the literature on neuroprotective and immunomodulatory gene therapy strategies for IRDs, focusing on neurotrophic factors and complement system modulation. Results: Neuroprotective approaches delivering neurotrophic factors-including pigment epithelium-derived factor (PEDF), ciliary neurotrophic factor (CNTF), rod-derived cone viability factor (RdCVF), brain-derived neurotrophic factor (BDNF), fibroblast growth factors (FGFs), glial cell line-derived neurotrophic factor (GDNF), and proinsulin-have demonstrated photoreceptor preservation across multiple preclinical IRD models regardless of the underlying genetic mutation. The recent FDA approval of CNTF cell-based gene therapy (Encelto) for macular telangiectasia type 2 validates this therapeutic paradigm. Complement system inhibition represents another gene-agnostic strategy, with intravitreal complement inhibitors approved for geographic atrophy secondary to age-related macular degeneration and gene therapy approaches targeting C3, C5, or delivering soluble complement regulators under investigation for IRDs. Combination strategies simultaneously addressing multiple pathogenic pathways may offer synergistic benefits. Conclusions: Gene-agnostic approaches targeting neuroprotection and immunomodulation offer a therapeutic paradigm capable of benefiting patients across the spectrum of IRD genotypes, potentially transforming treatment for conditions where mutation-specific therapies remain unavailable.

Background/objectives: Non-indigenous species are increasingly reshaping Mediterranean marine ecosystems, particularly under ongoing climate warming. The rayed pearl oyster Pinctada radiata, a thermophilic species originating from the Indo-Pacific region, is one of the earliest and most successful invaders in the Mediterranean Sea and has recently established populations in the Adriatic Sea.

Methods: This study integrates preliminary shell morphometric data with molecular genetic analyses based on mitochondrial cytochrome c oxidase subunit I (COI) and nuclear internal transcribed spacer 2 (ITS2) markers to confirm species identity and examine patterns of genetic variation in comparison with other Mediterranean Sea regions and the Persian Gulf.

Results: Phylogenetic analyses based on COI confirmed P. radiata as a distinct and well-supported monophyletic lineage, whereas the nuclear ITS2 marker showed limited resolution and interspecific overlap. Mediterranean and Adriatic populations showed low COI haplotype and nucleotide diversity and weak genetic structuring, consistent with recent colonization and secondary expansion, whereas Persian Gulf populations were more genetically diverse.

Conclusions: Future studies should employ larger sample sizes and broader geographic sampling across both the Mediterranean Sea and the full native range of P. radiata, combined with high-resolution genome-wide nuclear markers, to better resolve connectivity and invasion dynamics.