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Genes, Volume 16, Issue 6 (June 2025) – 110 articles

Cover Story (view full-size image): Obesity is a major global health burden and a leading contributor to heart failure, yet the molecular mechanisms connecting them remain poorly defined. MicroRNAs (miRNAs)—small non-coding RNAs—regulate key pathways implicated in heart failure pathogenesis, including inflammation, cardiac remodeling, angiogenesis, mitochondrial dysfunction, and lipotoxicity. This review integrates evidence from preclinical models and in vitro studies to highlight miRNAs altered in obesity and heart failure, including those shared between both conditions. By elucidating these conserved molecular signatures, this work may inform the development of miRNA-based biomarkers and targeted therapies for obesity-associated heart failure. View this paper
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14 pages, 1678 KiB  
Article
The Identification of a New Gene KRTAP 6-3 in Capra hircus and Its Potential for the Diameter Improvement of Cashmere Fibers
by Jian Cao, Zhanzhao Chen, Jianmin Zhang, Liang Cao and Shaobin Li
Genes 2025, 16(6), 721; https://doi.org/10.3390/genes16060721 - 19 Jun 2025
Viewed by 338
Abstract
Background: Cashmere is one of the important economic products of goats, and the KRTAP gene family, as an important family of regulatory genes in the growth process of cashmere fiber, largely affects the quality of cashmere. Methods: In this study, the KRTAP6-3 gene [...] Read more.
Background: Cashmere is one of the important economic products of goats, and the KRTAP gene family, as an important family of regulatory genes in the growth process of cashmere fiber, largely affects the quality of cashmere. Methods: In this study, the KRTAP6-3 gene was identified and located on goat chromosome 1 using a goat genome homology search combined with a phylogenetic tree approach. The Longdong cashmere goat KRTAP6-3 gene variation and its effect on cashmere quality were explored by using the polymerase chain reaction single-stranded conformation polymorphism (PCR-SSCP) technique, in situ hybridization, and the allele presence/absence model. Results: The results identified a total of six SNPs in KRTAP6-3, three of which were located in the coding region and two of which were synonymous mutations, in addition to 45- bp deletion sequences detected in alleles C and F. Moreover, the KRTAP6-3 mRNA showed a strong expression signal in the cortical layer of the primary and secondary follicles in the inner root sheaths, as well as in the cells of the hair papillae and the matrices during the anagen phase, and signaling at the sites described above is attenuated during the telogen phase. The presence of allele C was associated with increased MFD (mean fiber diameter) (p < 0.01). The MFD of goats with allele C genotype (genotype AC) was significantly higher (p < 0.05) than that of goats without allele C genotype (genotypes AA and AB). Conclusions: This indicates that genetic variation in the KRTAP6-3 gene in goats is significantly associated with cashmere traits and can serve as a candidate gene for molecular markers of cashmere traits. Full article
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10 pages, 331 KiB  
Article
Dopaminergic Modulation of Conscientiousness: DRD2 rs1799732 and Personality Traits in Elite Mixed Martial Arts Athletes
by Milena Lachowicz, Remigiusz Recław, Krzysztof Chmielowiec, Jolanta Chmielowiec, Kinga Łosińska, Aleksandra Suchanecka, Jolanta Masiak and Anna Grzywacz
Genes 2025, 16(6), 720; https://doi.org/10.3390/genes16060720 - 18 Jun 2025
Viewed by 284
Abstract
Background: Personality traits, particularly Conscientiousness, are recognised as crucial psychological factors contributing to success in elite-level athletes. Emerging evidence suggests that individual differences in these traits are influenced by environmental exposure and genetic variation, especially within the dopaminergic system. The DRD2 promoter polymorphism [...] Read more.
Background: Personality traits, particularly Conscientiousness, are recognised as crucial psychological factors contributing to success in elite-level athletes. Emerging evidence suggests that individual differences in these traits are influenced by environmental exposure and genetic variation, especially within the dopaminergic system. The DRD2 promoter polymorphism rs1799732, which affects dopamine D2 receptor expression, may modulate goal-directed behaviour and self-regulation traits. Methods: This study included 323 participants (141 elite mixed martial arts (MMA) athletes and 182 non-athlete controls). Participants completed the NEO Five-Factor Inventory (NEO-FFI). Genotyping for the DRD2 rs1799732 polymorphism was conducted using real-time PCR. Group comparisons and two-way ANOVA were used to assess genotype–phenotype associations and gene × environment interactions. Results: Athletes scored significantly higher on Conscientiousness than controls. A significant main effect of the DRD2 rs1799732 genotype and a genotype × group interaction were observed for Conscientiousness. Specifically, athletes with the ins/ins genotype exhibited the highest levels of Conscientiousness, whereas individuals with the del/del genotype showed the lowest scores. No significant associations were found for other personality traits. Conclusions: These findings suggest that the DRD2 promoter polymorphism rs1799732 moderates the expression of Conscientiousness, particularly under the structured and demanding conditions experienced by elite athletes. Our results support a gene × environment interaction model, highlighting the importance of considering genetic predispositions in high-performance environments. These insights may inform personalised psychological support strategies tailored to athletes’ genetic profiles, enhancing motivation, self-regulation and long-term athletic development. Full article
(This article belongs to the Section Human Genomics and Genetic Diseases)
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11 pages, 1247 KiB  
Article
Molecular-Marker-Based Design for Breeding Indica–Japonica Hybrid Rice with Bacterial Blight Resistance
by Junjie Dong, Xinyue Zhang, Youfa Li and Haowei Fu
Genes 2025, 16(6), 719; https://doi.org/10.3390/genes16060719 - 18 Jun 2025
Viewed by 325
Abstract
Background/Objectives: To overcome the limitations imposed by bacterial blight on widely adopted indica–japonica hybrid rice, this study employed molecular design breeding strategies to develop a resistant germplasm. Methods: Through conventional backcross breeding combined with molecular-marker-assisted selection, the Xa23-carrying material XR39 [...] Read more.
Background/Objectives: To overcome the limitations imposed by bacterial blight on widely adopted indica–japonica hybrid rice, this study employed molecular design breeding strategies to develop a resistant germplasm. Methods: Through conventional backcross breeding combined with molecular-marker-assisted selection, the Xa23-carrying material XR39 was hybridized with the wide-compatibility restorer line R5315 harboring the S5n gene. Progeny selection integrated evaluations of agronomic traits, disease resistance identification, and test-crossing with sterile lines. Results: Five wide-compatibility restorer lines simultaneously incorporating the Xa23 and S5n genes were successfully developed, demonstrating outstanding bacterial blight resistance and restoration ability. The selected hybrid combinations, A3/RP1, A1/RP4, and A4/RP4, exhibited yield increases of 2.6–8.6% compared to the control. Conclusions: This study not only established a novel germplasm for developing bacterial blight-resistant indica–japonica hybrid rice varieties, but also established a model for gene design breeding for rice improvement. Full article
(This article belongs to the Section Plant Genetics and Genomics)
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20 pages, 2681 KiB  
Article
Molecular Characterization of CnHd3a and Spatial Expression of Its Alternative Splicing Forms Associated with Flowering Transition and Flower Development in Coconut Palm (Cocos nucifera L.)
by Pariya Maneeprasert, Siriwan Thaisakun, Theerachai Thanananta, Narumol Thanananta, Noppamart Lokkamlue and Chareerat Mongkolsiriwatana
Genes 2025, 16(6), 718; https://doi.org/10.3390/genes16060718 - 18 Jun 2025
Viewed by 371
Abstract
Background: The flowering transition is a critical process determining the onset of reproductive development and fruit production. The molecular mechanisms underlying this process in coconuts are poorly understood; however, recent studies have identified CnHd3a as a potential regulator of the floral transition in [...] Read more.
Background: The flowering transition is a critical process determining the onset of reproductive development and fruit production. The molecular mechanisms underlying this process in coconuts are poorly understood; however, recent studies have identified CnHd3a as a potential regulator of the floral transition in coconuts. Methods: In this study, we characterized the molecular structure of CnHd3a and analyzed its alternative splicing forms in tall and dwarf varieties of coconut palms during the flowering transition. We used qRT-PCR to measure the expression levels of CnHd3a at different developmental stages. Results: CnHd3a was expressed in leaves and the shoot apical meristem (SAM) during the flowering transition in both coconut varieties and flower tissues during flower development. Interestingly, the expression levels of complex isoforms of CnHd3a were higher in the leaves of dwarf coconuts than in those of tall coconuts, suggesting their involvement in shortening the vegetative growth phase of dwarf coconuts. The gene structure of CnHd3a was found to be conserved across different plant species, indicating the evolutionary conservation of the floral transition process. Conclusions: Our findings provide insight into the molecular mechanisms underlying the floral transition and flower development processes in coconut palm. The tissue-specific expression patterns of CnHd3a isoforms show their potential roles in growth and development. Further investigations focusing on the functional characterization of CnHd3a isoforms will have practical implications for coconut breeding and cultivation strategies. Full article
(This article belongs to the Section Plant Genetics and Genomics)
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23 pages, 1236 KiB  
Review
Navigating the Genetic Landscape: Investigating the Opportunities and Risks of Cross-Species SNP Array Application in Catfish
by Bettina Hegedűs, Zoltán Bagi and Szilvia Kusza
Genes 2025, 16(6), 717; https://doi.org/10.3390/genes16060717 - 18 Jun 2025
Viewed by 434
Abstract
Aquaculture has become a crucial component of global food production, yet catfish (10.8% of global finfish production) breeding programs often lack sufficient genetic data to fully utilize their production potential. In the last 15 years, there have been improvements in this field as [...] Read more.
Aquaculture has become a crucial component of global food production, yet catfish (10.8% of global finfish production) breeding programs often lack sufficient genetic data to fully utilize their production potential. In the last 15 years, there have been improvements in this field as two high-density (HD) single nucleotide polymorphism (SNP) arrays (250K and 690K) and low-density panels have been developed for North American channel catfish (Ictalurus punctatus) and blue catfish (Ictalurus furcatus). This lack of genomic tools hinders genetic improvement efforts in other commercially relevant catfish species besides them. Therefore, this review investigated the reason behind the lack of SNP chip usage in genetic-based selections in most catfish breeding programs and the cross-species applicability of the already existing high-density SNP arrays for genotyping members of the Clariidae, African catfish (Clarias gariepinu), and Siluridae, European catfish (Silurus glanis), families. This paper systematically reviews the literature of more than 16 SNP arrays, with 66 non-target species, and assesses the possibility of adapting catfish SNP arrays to the catfish families of interest. With lowered filtering (e.g., MAF > 0) thresholds, the Affymetrix Axiom 250K and Axiom Catfish 690K Genotyping Array could potentially be used on important market species like African and European catfishes. In the long term, chip development would be the solution for these species, but, until then, cross-application is a viable alternative. Despite low polymorphic SNPs (~1%) and call rates (~0%), this SNP array could aid researchers and breeders, improving catfish aquaculture and management. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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21 pages, 6501 KiB  
Article
Bioinformatics-Driven Identification of Ferroptosis-Related Gene Signatures Distinguishing Active and Latent Tuberculosis
by Rakesh Arya, Hemlata Shakya, Viplov Kumar Biswas, Gyanendra Kumar, Sumendra Yogarayan, Harish Kumar Shakya and Jong-Joo Kim
Genes 2025, 16(6), 716; https://doi.org/10.3390/genes16060716 - 18 Jun 2025
Viewed by 335
Abstract
Background: Tuberculosis (TB) remains a major global public health challenge, and diagnosing it can be difficult due to issues such as distinguishing active TB from latent TB infection (LTBI), as well as the sample collection process, which is often time-consuming and lacks sensitivity [...] Read more.
Background: Tuberculosis (TB) remains a major global public health challenge, and diagnosing it can be difficult due to issues such as distinguishing active TB from latent TB infection (LTBI), as well as the sample collection process, which is often time-consuming and lacks sensitivity and specificity. Ferroptosis is emerging as an important factor in TB pathogenesis; however, its underlying molecular mechanisms are not fully understood. Thus, there is a critical need to establish ferroptosis-related diagnostic biomarkers for tuberculosis (TB). Methods: This study aimed to identify and validate potential ferroptosis-related genes in TB infection while enhancing clinical diagnostic accuracy through bioinformatics-driven gene identification. The microarray expression profile dataset GSE28623 from the Gene Expression Omnibus (GEO) database was used to identify ferroptosis-related differentially expressed genes (FR-DEGs) associated with TB. Subsequently, these genes were used for immune cell infiltration, Gene Set Enrichment Analysis (GSEA), functional enrichment and correlation analyses. Hub genes were identified using Weighted Gene Co-expression Network Analysis (WGCNA) and validated in independent datasets GSE37250, GSE39940, GSE19437, and GSE31348. Results: A total of 21 FR-DEGs were identified. Among them, four hub genes (ACSL1, PARP9, TLR4, and ATG3) were identified as diagnostic biomarkers. These biomarkers were enriched in immune-response related pathways and were validated. Immune cell infiltration, GSEA, functional enrichment and correlation analyses revealed that multiple immune cell types could be activated by FR-DEGs. Throughout anti-TB therapy, the expression of the four hub gene signatures significantly decreased in patients cured of TB. Conclusions: In conclusion, ferroptosis plays a key role in TB pathogenesis. These four hub gene signatures are linked with TB treatment effectiveness and show promise as biomarkers for differentiating TB from LTBI. Full article
(This article belongs to the Special Issue Advances in Bioinformatics of Human Diseases)
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21 pages, 1315 KiB  
Article
Identification of Gene Expression Biomarkers Predictive of Latent Tuberculosis Infection Using Machine Learning Approaches
by Youssra Boumait, Boutaina Ettetuani, Manal Chrairi, Afaf Lamzouri and Rajaa Chahboune
Genes 2025, 16(6), 715; https://doi.org/10.3390/genes16060715 - 18 Jun 2025
Viewed by 876
Abstract
Latent tuberculosis infection (LTBi) affects nearly a quarter of the global population, yet current diagnostic methods are limited by low sensitivity and specificity. This study applied an integrative bioinformatics framework, incorporating machine learning techniques, to identify robust gene expression biomarkers associated with LTBi. [...] Read more.
Latent tuberculosis infection (LTBi) affects nearly a quarter of the global population, yet current diagnostic methods are limited by low sensitivity and specificity. This study applied an integrative bioinformatics framework, incorporating machine learning techniques, to identify robust gene expression biomarkers associated with LTBi. We analyzed four publicly available transcriptomic datasets from peripheral blood mononuclear cells (PBMCs), representing latent, active, and healthy states. Differentially expressed genes (DEGs) were identified, followed by gene ontology (GO) enrichment, functional clustering, and miRNA interaction analysis. Semantic similarity, unsupervised clustering, and pathway enrichment were applied to refine the gene list. Key biomarkers were prioritized using receiver operating characteristic (ROC) curve analysis, with CCL2 and CXCL10 emerging as top candidates (AUC > 0.85). This multi-step approach demonstrates the potential of combining transcriptomic profiling with established machine learning and bioinformatics tools to uncover candidate biomarkers for improved LTBi detection, and it also provides a foundation for future experimental validation. Full article
(This article belongs to the Section Bioinformatics)
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9 pages, 645 KiB  
Article
Results of Chromosomal Microarray Need to Always Be Checked by (Molecular) Cytogenetics—Even If They Seem to Be Simple Deletions
by Thomas Liehr, Sylke Singer, Ulrike Mau-Holzmann, Stefanie Kankel, Niklas Padutsch, Luisa Person, Eva Daumiller and Uwe Kornak
Genes 2025, 16(6), 714; https://doi.org/10.3390/genes16060714 - 17 Jun 2025
Viewed by 780
Abstract
Background/Objectives: Chromosome microarrays (CMAs) tend to be used as the first line test or as a test that does not require confirmation or verification by a second test. However, to understand the implications of a duplication or deletion for a family seeking genetic [...] Read more.
Background/Objectives: Chromosome microarrays (CMAs) tend to be used as the first line test or as a test that does not require confirmation or verification by a second test. However, to understand the implications of a duplication or deletion for a family seeking genetic counseling, it is crucial to know the nature of the underlying chromosomal rearrangement. Here, we present seven cases with apparent isolated copy number loss, five of which showed unexpected complexity. Methods: Seven cases were investigated by CMA due to intellectual disability and/or dysmorphic features. Isolated deletions ranging in size from ~0.6 to ~21 Mb were found and referred for further characterization of the underlying chromosomal rearrangement. To elucidate the cases, fluorescence in situ hybridization was performed using locus-specific, whole and partial chromosome painting and/or multicolor banding. Results: Among the seven selected cases, there were five with unexpected complexity. Isolated deletions were actually evidence of chromoanasynthesis, ring chromosome formation, unbalanced translocation, or unbalanced insertion. Conclusions: These results clearly underscore that it seems reasonable to examine every case with a copy number variant—even if it appears to be “only” a simple partial deletion—using banding and/or molecular cytogenetic testing in order to make a qualified assessment of the situation and, on this basis, ensure sound genetic counseling. Full article
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14 pages, 2110 KiB  
Article
The Single Nucleotide Substitution T → A rs2072580 Damages the CREB1 Binding Site in the Bidirectional SART3/ISCU Promoter
by Arina Degtyareva, Elena Antontseva, Anastasia Evseenko, Konstantin Orishchenko and Tatiana Merkulova
Genes 2025, 16(6), 713; https://doi.org/10.3390/genes16060713 - 17 Jun 2025
Viewed by 328
Abstract
Background/Objectives: The regulatory SNPs (rSNPs) that disturb the binding of transcription factors (TFs) and alter the transcription levels of genes play a paramount role in the formation of different traits and are associated with many pathologies. The search for allele-specific events in RNA-seq [...] Read more.
Background/Objectives: The regulatory SNPs (rSNPs) that disturb the binding of transcription factors (TFs) and alter the transcription levels of genes play a paramount role in the formation of different traits and are associated with many pathologies. The search for allele-specific events in RNA-seq and ChIP-seq data is a powerful genome-wide approach to detect rSNPs. Using this approach, we have identified the T → A rs2072580 substitution in the bidirectional SART3/ISCU promoter as a potential rSNP and demonstrated its association with colorectal cancer, relying on International Cancer Genome Consortium data. The goal of this work was to identify the TF binding site that is affected by the T → A substitution and to study the effect of this substitution on reporter gene expression in different plasmid constructs. Methods: Electrophoretic mobility shift assay (EMSA), cross-competition analysis and supershift assay, plasmid construction, and dual luciferase reporter assay. Results: The T → A rs2072580 substitution is shown to damage the binding site for ubiquitous TF CREB1 and to significantly decrease the activity of the heterologous promoter carrying the cassettes of two or three repeated CREB binding sites inserted upstream of it. However, the substitution disturbing the CREB1 binding site within the bidirectional promoter shared by SART3 and ISCU inhibits the promoter activity of only the SART3 gene but has no effect on the activity of the ISCU promoter. Conclusions: The performed comprehensive functional analysis of the T → A rs2072580 in the bidirectional SART3/ISCU promoter unambiguously implies it is an rSNP. These results form the background for further studies of this rSNP and its potential significance for various pathologies. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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14 pages, 1004 KiB  
Article
Incidence of Homozygous SMN2 Deletion in Japan: Cross-Reactivity of SMN2 Primers with SMN1 Sequence Causes False Negatives in Real-Time PCR Screening
by Makoto Sakima, Yoshihiro Bouike, Shin-Ichi Wada, Masami Nakamae, Yoriko Noguchi, Ryosuke Bo, Hiroyuki Awano, Jumpei Oba and Hisahide Nishio
Genes 2025, 16(6), 712; https://doi.org/10.3390/genes16060712 - 16 Jun 2025
Viewed by 307
Abstract
Background: SMN1 and SMN2 are causative and modifier genes, respectively, for spinal muscular atrophy (SMA). The incidence of SMN1 homozygous deletion in Japan is 1 in 20,000. However, the incidence of SMN2 homozygous deletion in Japan remains unknown. Methods: To clarify [...] Read more.
Background: SMN1 and SMN2 are causative and modifier genes, respectively, for spinal muscular atrophy (SMA). The incidence of SMN1 homozygous deletion in Japan is 1 in 20,000. However, the incidence of SMN2 homozygous deletion in Japan remains unknown. Methods: To clarify the incidence of homozygous SMN2 deletion in Japan, real-time polymerase chain reaction (PCR) was performed on dried blood spot (DBS) samples collected from newborns nationwide. Samples with positive or ambiguous results were retested using PCR-restriction fragment length polymorphism (PCR-RFLP) and nucleotide sequence analysis. Results: Of the 1000 DBS samples that were screened using real-time PCR, 51 were positive. Retesting using PCR-RFLP analysis identified 10 false results: six false positives and four false negatives. Therefore, there were 49 true positives among the 1000 samples. Notably, nucleotide sequence analysis revealed that the false negatives were caused by the cross-reactivity of SMN2 primers with SMN1 sequences. Conclusions: The incidence of homozygous SMN2 deletion in Japan is approximately 1 in 20 people. This incidence is much higher than that of homozygous SMN1 deletion and may reflect the vulnerability of the SMN2 region. Importantly, the results of the present study suggest that false negatives in the screening process were caused by cross-reactivity with non-target gene sequences. Full article
(This article belongs to the Section Genetic Diagnosis)
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20 pages, 5106 KiB  
Article
Investigating the Sexual Dimorphism of Waist-to-Hip Ratio and Its Associations with Complex Traits
by Haochang Li, Shirong Hui, Xuehong Cai, Ran He, Meijie Yu, Yihao Li, Rongbin Yu and Peng Huang
Genes 2025, 16(6), 711; https://doi.org/10.3390/genes16060711 - 16 Jun 2025
Viewed by 349
Abstract
Background: Obesity significantly impacts disease burden, with waist-to-hip ratio (WHR) as a key obesity indicator, but the genetic and biological pathways underlying WHR, particularly its sex-specific differences, remain poorly understood. Methods: This study explored WHR’s sexual dimorphism and its links to complex traits [...] Read more.
Background: Obesity significantly impacts disease burden, with waist-to-hip ratio (WHR) as a key obesity indicator, but the genetic and biological pathways underlying WHR, particularly its sex-specific differences, remain poorly understood. Methods: This study explored WHR’s sexual dimorphism and its links to complex traits using cross-sectional surveys and genetic data from Giant and UK Biobank (UKB). We analyzed WHR heritability, performed tissue-specific transcriptome-wide association studies (TWAS) using FUSION, and conducted genetic correlation analyses with linkage disequilibrium score regression (LDSC) and Local Analysis of [co]Variant Association (LAVA). Polygenic scores (PGS) for WHR were constructed using the clumping and thresholding method (CT), and associations with complex traits were assessed via logistic or linear models. Results: The genetic analysis showed sex-specific heritability for WHR, with TWAS identifying female-specific (e.g., CCDC92) and male-specific (e.g., UQCC1) genes. Global genetic correlation analysis revealed sex-specific associations between WHR and 23 traits, while local analysis identified eight sex-specific loci across five diseases. Regression analysis highlighted sex-specific associations for 70 traits with WHR and 45 traits with WHR PGS, with stronger effects in females. Predictive models also performed better in females. Conclusions: This study underscores WHR’s sexual dimorphism and its distinct associations with complex traits, offering insights into sex-specific biological differences, health management, and clinical advancements. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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20 pages, 1987 KiB  
Article
Genomic Anomaly Detection with Functional Data Analysis
by Ria Kanjilal, Andre Luiz Campelo dos Santos, Sandipan Paul Arnab, Michael DeGiorgio and Raquel Assis
Genes 2025, 16(6), 710; https://doi.org/10.3390/genes16060710 - 15 Jun 2025
Viewed by 499
Abstract
Background: Genetic variation provides a foundation for understanding evolution. With the rise of artificial intelligence, machine learning has emerged as a powerful tool for identifying genomic footprints of evolutionary processes through simulation-based predictive modeling. However, existing approaches require prior knowledge of the factors [...] Read more.
Background: Genetic variation provides a foundation for understanding evolution. With the rise of artificial intelligence, machine learning has emerged as a powerful tool for identifying genomic footprints of evolutionary processes through simulation-based predictive modeling. However, existing approaches require prior knowledge of the factors shaping genetic variation, whereas uncovering anomalous genomic regions regardless of their causes remains an equally important and complementary endeavor. Methods: To address this problem, we introduce ANDES (ANomaly DEtection using Summary statistics), a suite of algorithms that apply statistical techniques to extract features for unsupervised anomaly detection. A key innovation of ANDES is its ability to account for autocovariation due to linkage disequilibrium by fitting curves to contiguous windows and computing their first and second derivatives, thereby capturing the “velocity” and “acceleration” of genetic variation. These features are then used to train models that flag biologically significant or artifactual regions. Results: Application to human genomic data demonstrates that ANDES successfully detects anomalous regions that colocalize with genes under positive or balancing selection. Moreover, these analyses reveal a non-uniform distribution of anomalies, which are enriched in specific autosomes, intergenic regions, introns, and regions with low GC content, repetitive sequences, and poor mappability. Conclusions: ANDES thus offers a novel, model-agnostic framework for uncovering anomalous genomic regions in both model and non-model organisms. Full article
(This article belongs to the Section Technologies and Resources for Genetics)
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18 pages, 4371 KiB  
Article
Exploring Runs of Homozygosity and Heterozygosity in Sheep Breeds Maintained in Poland
by Tomasz Szmatola, Katarzyna Ropka-Molik, Igor Jasielczuk, Aldona Kawęcka and Artur Gurgul
Genes 2025, 16(6), 709; https://doi.org/10.3390/genes16060709 - 14 Jun 2025
Viewed by 619
Abstract
Objectives: The study investigates runs of homozygosity (ROH) and heterozygosity (ROHet), and their patterns in nine sheep breeds (772 animals in total) maintained in Poland (native and conserved), corresponding to their genetic diversity, inbreeding levels, and selection signatures. Methods: Genotypes were [...] Read more.
Objectives: The study investigates runs of homozygosity (ROH) and heterozygosity (ROHet), and their patterns in nine sheep breeds (772 animals in total) maintained in Poland (native and conserved), corresponding to their genetic diversity, inbreeding levels, and selection signatures. Methods: Genotypes were obtained using the Illumina OvineSNP50 BeadChip and quality-filtered SNPs were used to detect ROH and ROHet segments with the detectRUNS R package, following stringent parameters for segment length, SNP density, and genotype quality. Results: Significant variation in ROH characteristics was observed across breeds. Short ROH segments were predominant in all breeds, indicating historical inbreeding events. In contrast, longer ROH segments signified recent inbreeding, particularly in Swiniarka (SW) and Polish Merino of Colored Variety (MPC). The ROH-based genomic inbreeding coefficient (FROH) varied across breeds, with SW exhibiting the highest levels, suggesting reduced genetic diversity. ROHet analysis revealed that Uhruska (UHR) had the highest heterozygous segments span, while Black-headed (BH) sheep exhibited the lowest ROHet extent. ROH islands identified across breeds revealed regions under selection, associated with traits such as reproductive performance, wool quality, and body condition. Genes located within these islands (e.g., U6, SPP1, ABCG2) were linked to economically significant traits including milk production, growth, and carcass quality. Conclusions: The presented results highlight the genetic adaptations shaped by selection pressures, while also providing insights into the genetic architecture of sheep breeds maintained in Poland. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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23 pages, 3942 KiB  
Article
Half the Chromosome It Used to Be: Identifying Cancer Treatments Targeting Aneuploid Losses
by Andrew O. Disharoon and Joe R. Delaney
Genes 2025, 16(6), 708; https://doi.org/10.3390/genes16060708 - 14 Jun 2025
Viewed by 552
Abstract
Background/Objectives: Aneuploidy is near-ubiquitous in cancer and can decrease chemotherapy efficacy while also sensitizing cells to other drugs. Methods: To systematically identify treatment strategies that target aneuploid cancers, data were integrated from The Cancer Genome Atlas (TCGA; 10,967 samples, 16,948 aneuploidy events) and [...] Read more.
Background/Objectives: Aneuploidy is near-ubiquitous in cancer and can decrease chemotherapy efficacy while also sensitizing cells to other drugs. Methods: To systematically identify treatment strategies that target aneuploid cancers, data were integrated from The Cancer Genome Atlas (TCGA; 10,967 samples, 16,948 aneuploidy events) and the Broad Institute’s Profiling Relative Inhibition Simultaneously in Mixtures (PRISM) screen of 578 cancer cell lines and 4518 compounds. Results: Our analyses uncovered 37,720 significant positive and negative associations linking specific aneuploidies and treatments with patient prognosis or cell viability. Within TCGA data, 22 treatments correlated with improved 5-year survival for specific aneuploid cancers, whereas 46 were linked to worse outcomes. A complementary analysis of PRISM identified 17,946 compound–aneuploidy associations and 16,189 mechanism of action (MOA)–aneuploidy associations. Pathway-altering compounds that selectively reduce viability in cells with aneuploidy profiles were discovered, including an unexpectedly prominent number of glucocorticoid receptor agonists. Conclusions: This integrated dataset provides a resource for designing therapeutic decision hypotheses, identifying drug-repurposing opportunities, and informing future studies aimed at targeting aneuploidy-induced vulnerabilities in cancer. Full article
(This article belongs to the Section Pharmacogenetics)
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13 pages, 1822 KiB  
Article
MPDZ Pathogenic Variants Cause Obstructive Ventriculomegaly Related to Diencephalosynapsis and Third Ventricle Atresia
by Sara Cabet, Jean-François Ghersi-Egea, Suonavy Khung-Savatovsky, Fabien Guimiot, Audrey Putoux, Isabelle Sabatier, Carla Fernandez, Laure Raymond, Jérémie Mortreux, Hélène Laurichesse Delmas, Fabrice Eric Cuillier, Fabien Ho, Gaetan Lesca, Jean-Luc Alessandri and Laurent Guibaud
Genes 2025, 16(6), 707; https://doi.org/10.3390/genes16060707 - 13 Jun 2025
Viewed by 336
Abstract
Objective: Ventriculomegaly is the main prenatal imaging feature for diagnosing fetal central nervous system anomalies in humans. Many ventriculomegalies can be related to genetic causes, regardless of their imaging presentations. Among these, MPDZ variants have been reported to cause severe ventriculomegaly inherited in [...] Read more.
Objective: Ventriculomegaly is the main prenatal imaging feature for diagnosing fetal central nervous system anomalies in humans. Many ventriculomegalies can be related to genetic causes, regardless of their imaging presentations. Among these, MPDZ variants have been reported to cause severe ventriculomegaly inherited in an autosomal recessive manner (OMIM#615219). Several hypotheses have been put forward linking MPDZ variants to ventriculomegaly, but the precise underlying mechanisms, in particular whether its origin is obstructive or non-obstructive, are yet to be elucidated. Methods: To address this question, we retrospectively analyzed pre- and postnatal neuro-imaging and neuropathological data for cases of ventriculomegaly in which MPDZ variants were found through exome or genome sequencing. We performed anti-MPDZ immunostaining on fetal brain samples. Results: We analyzed six cases (four fetuses and two children) of ventriculomegaly of variable severities with MPDZ variants. The precise analysis of brain MRI data, corroborated by fetopathological examinations, demonstrated an obstructive pattern of ventriculomegaly upstream from partial fusion of the thalami, also called diencephalosynapsis, with partial atresia of the third ventricle, which could extend to Sylvius’s aqueduct. Conclusions: The morphological analysis using targeted brain magnetic resonance imaging (MRI) and neuropathological data allowed us to unravel the underlying mechanisms of congenital ventriculomegaly related to MDPZ variants. Full article
(This article belongs to the Section Neurogenomics)
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11 pages, 632 KiB  
Article
Expansion of the Genotypic and Phenotypic Spectrum of TCTN3-Related Joubert Syndrome
by Mariangela Lo Giudice, Eugenia Borgione, Marika Giuliano, Sandro Santa Paola, Francesco Domenico Di Blasi, Rosa Pettinato, Corrado Romano and Carmela Scuderi
Genes 2025, 16(6), 706; https://doi.org/10.3390/genes16060706 - 13 Jun 2025
Viewed by 352
Abstract
Background/Objectives: Joubert syndrome (JS, MIM 213300) is a rare genetic condition characterized by respiratory control disturbances, abnormal eye movements, ataxia, cognitive impairment, and the notable agenesis of the cerebellar vermis. The molar tooth sign visible in magnetic resonance imaging of the brain serves [...] Read more.
Background/Objectives: Joubert syndrome (JS, MIM 213300) is a rare genetic condition characterized by respiratory control disturbances, abnormal eye movements, ataxia, cognitive impairment, and the notable agenesis of the cerebellar vermis. The molar tooth sign visible in magnetic resonance imaging of the brain serves as a diagnostic tool for JS. Variants in the TCTN3 gene can lead to the development of several diseases, including JS type 18, Orofaciodigital syndrome IV, and Meckel–Gruber syndrome. Methods: We performed whole-exome sequencing (WES) in a 49-year-old woman with JS characterized by severe intellectual disability, ataxic gait, agenesis of the cerebellar vermis leading to the molar tooth sign, dystonic movements, strabismus, and nystagmus. Moreover, the patient also showed a thickened corpus callosum. Results: Molecular analysis through WES revealed the heterozygous variants c.182dup (p.G62Wfs*18) and c.1452+4del in the TCTN3 gene, expanding our understanding of the genetic diversity and potential phenotypic implications associated with TCTN3 variations. Conclusions: To our knowledge, this is the first patient with JS and a thickened corpus callosum. Moreover, a thickened corpus callosum has never been identified in patients with pathogenic variants of the TCTN3 gene. Full article
(This article belongs to the Special Issue Molecular Basis and Genetics of Intellectual Disability)
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20 pages, 1211 KiB  
Review
Human CD36: Gene Regulation, Protein Function, and Its Role in Atherosclerosis Pathogenesis
by Monika Rac
Genes 2025, 16(6), 705; https://doi.org/10.3390/genes16060705 - 13 Jun 2025
Viewed by 1154
Abstract
Human CD36 plays an important role in ligand binding, signalling, cell adhesion, and the regulation of angiogenesis. As a scavenging receptor, it is responsible for clearing long-chain fatty acids (LCFAs) and removing approximately 50% of oxidised low-density lipoprotein (ox-LDL) from plasma. The CD36 [...] Read more.
Human CD36 plays an important role in ligand binding, signalling, cell adhesion, and the regulation of angiogenesis. As a scavenging receptor, it is responsible for clearing long-chain fatty acids (LCFAs) and removing approximately 50% of oxidised low-density lipoprotein (ox-LDL) from plasma. The CD36 gene is alternatively spliced. It has several alternative promoters and first exons. The alternative transcripts are expressed in multiple tissues, and their expression patterns are highly variable. The molecular mechanisms that regulate CD36 gene expression are complex and reflect its multifunctional role in different tissues. CD36 activity has been linked to several metabolic processes, such as inflammation, angiogenesis, phagocytosis, and energy homeostasis. CD36 plays a key role in regulating vascular and cardiovascular health and in the pathogenesis of atherosclerosis. CD36 gene mutations in the Caucasian population are rare. Hence, it is extremely difficult to recruit a statistically significant group of CAD patients with these mutations. Nevertheless, this population is largely at risk of cardiovascular disease. Atherosclerosis is a multifactorial disease, but the role of the CD36 receptor in the development of ox-LDL is extremely important. This review aims to introduce readers to issues related to the relationship between CD36 and CAD. The activity of this receptor should be considered when exploring treatment options for atherosclerosis-related complications. Full article
(This article belongs to the Section Human Genomics and Genetic Diseases)
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15 pages, 2110 KiB  
Article
The Integrative Taxonomy and Mitochondrial Genome Evolution of Freshwater Planarians (Platyhelminthes: Tricladida): The Discovery of a New Clade in Southern China
by Yimeng Yang, Zhizhuo Huang, Xiaowen Fang, Pinyi Li, Yexin Li, Xiuying Hou, Yongjun Li, Hengwen Yang, Chunxia Jing, Zhinan Yin and Guang Yang
Genes 2025, 16(6), 704; https://doi.org/10.3390/genes16060704 - 13 Jun 2025
Viewed by 440
Abstract
Background: The genus Dugesia (Platyhelminthes: Tricladida) includes a large diversity of free-living freshwater flatworms and is important for studies on regeneration and evolution. This study aims to describe a newly discovered asexual planarian species from southern China and explore its genetic characteristics and [...] Read more.
Background: The genus Dugesia (Platyhelminthes: Tricladida) includes a large diversity of free-living freshwater flatworms and is important for studies on regeneration and evolution. This study aims to describe a newly discovered asexual planarian species from southern China and explore its genetic characteristics and regenerative abilities. Methods: An integrative taxonomic analysis was conducted using morphology, karyology, histology, molecular phylogeny (18S, 28S, COI, mitogenome), and genome size estimation via flow cytometry. Regeneration was assessed by standardized amputations, and long-term asexual propagation was observed under laboratory conditions for three years. Results: Phylogenetic analyses using nuclear (18S, 28S rDNA) and mitochondrial (COI, mitogenome) markers confirmed that Dugesia cantonensis Guang Yang & Zhinan Yin, sp. nov. forms a distinct clade within Dugesia. Its 18,125 bp mitogenome contains 36 genes but lacks atp8. D. cantonensis displays a distinctive morphology, notably a pharynx located near the head. All body fragments regenerated into complete individuals within nine days. Remarkably, one individual produced ~10⁵ clonal descendants over three years via repeated amputation, maintaining stable regenerative ability and growth across generations. Karyological analysis revealed a diploid karyotype (2n = 16) consisting of eight chromosome pairs. The nuclear genome size was estimated at approximately 2.5 Gb using Danio rerio as an internal standard. Histological examination showed no detectable reproductive organs, confirming the species as an exclusively asexual lineage. Conclusions: D. cantonensis represents a new planarian strain with stable propagation and regeneration. These features make it a valuable resource for regenerative biology and comparative genomic studies. Full article
(This article belongs to the Section Population and Evolutionary Genetics and Genomics)
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9 pages, 204 KiB  
Article
Several Proinflammatory Genes’ Variability and Phenotypes of Atopic Dermatitis in Czech Adult AD Patients
by Vladimír Vašků and Anna Vašků
Genes 2025, 16(6), 703; https://doi.org/10.3390/genes16060703 - 12 Jun 2025
Viewed by 386
Abstract
Background: The etiopathogenesis of atopic dermatitis is complicated, and it includes aspects such as dysfunction of the skin barrier, changes in immune responses, IgE-mediated hypersensitivity, and many characteristics of the environment. Regarding skin barrier dysfunction, a number of genetic changes have been described. [...] Read more.
Background: The etiopathogenesis of atopic dermatitis is complicated, and it includes aspects such as dysfunction of the skin barrier, changes in immune responses, IgE-mediated hypersensitivity, and many characteristics of the environment. Regarding skin barrier dysfunction, a number of genetic changes have been described. This genetic predisposition could be related to the phenotypes of atopic dermatitis. Aim: In this study, several polymorphisms in five proinflammatory genes were associated with certain phenotypes of AD patients (genotype–phenotype study). Methods: In total, 89 unrelated AD Czech (Caucasian) patients were genotyped regarding five proinflammatory gene polymorphisms (angiotensinogen AGT M235T, AGT-6 G/A, TNF-α-238 G/A, TNF-β Fok1, IL-6-174 C/G and IL-6-596 G/A). Genotyping was performed using PCR and restriction analysis. For phenotypes, patients’ sex, age and personal and family history of atopy, aero- and food allergies and other complex diseases were evaluated. Results: A significant association with transepidermal water loss (TEWL) measured on the forearm was found with the AGT M235T polymorphism (p = 0.02). For the AG genotype of TNF-α-238 G/A, a six-times higher risk for a family history of diabetes mellitus compared to other examined aspects of family history was found (p = 0.02). A family history of thyreopathy was associated with the IL-6-174 G/C polymorphism when compared to a family history of other complex diseases. The GG genotype had a ten-times higher risk for a family history of thyreopathy compared to the other genotypes (p = 0.004). This result was highly specific (0.914). The GG genotype of IL-6-596 G/A was associated with a family history of thyreopathy, with the same result (p = 0.004). Moreover, the G allele of IL-6-174 G/C was associated with a family history of thyreopathy compared to AD patients without a positive family history of complex diseases (p = 0.03). In AD men, the MM genotype of the AGT M235T gene was found to be associated with food allergies (p = 0.004). This result was highly sensitive (0.833). A family history of cardiovascular disease in AD men was associated with AGT-6 G/A variability. The A allele was found to be six times more frequent in patients with a positive family history of cardiovascular disease (p = 0.02, with high sensitivity and specificity (0.700 and 0.735, respectively)). A family history of diabetes mellitus was associated with the TNF-β Fok1 polymorphism, where the B1 allele was almost six times more frequent in AD men with a positive family history of diabetes mellitus (p = 0.02), with high sensitivity (0.85). A significant association between TEWL measured on the forearm and the AGT M235T polymorphism was found when AD women were carriers of the MM genotype, with a median of 25 and range 4–61; those patients with the MT genotype had a median of 10 and range of 0.3–39; and patients with the TT genotype had a median of 5 and range of 3–40, p = 0.003. The polymorphism AGT-6 G/A was associated with different ages of eczema onset. The AG genotype was almost nine times more risky for the youngest group (0–7 years) compared to the oldest group (more than 18 years) (p = 0.02), with high specificity for this result. Conclusions: Our results in the field of cytokine signaling in the immune system in patients with atopic dermatitis are in agreement with those of GWASs. We suggest that cost-effective and simple PCR tests may be the best approach for the rapid and optimal collection of valid genetic information in clinical practice. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
21 pages, 1060 KiB  
Review
Origin and Evolution of Genes in Eukaryotes: Mechanisms, Dynamics, and Functional Implications
by Salvatore Saccone, Desiree Brancato, Francesca Bruno, Elvira Coniglio, Valentina Sturiale and Concetta Federico
Genes 2025, 16(6), 702; https://doi.org/10.3390/genes16060702 - 12 Jun 2025
Viewed by 989
Abstract
The origin and evolution of genes are central themes in evolutionary biology and genomics, shedding light on how molecular innovations shape biological complexity and adaptation. This review explores the principal mechanisms underlying gene emergence in eukaryotes, including gene duplication, de novo gene birth, [...] Read more.
The origin and evolution of genes are central themes in evolutionary biology and genomics, shedding light on how molecular innovations shape biological complexity and adaptation. This review explores the principal mechanisms underlying gene emergence in eukaryotes, including gene duplication, de novo gene birth, horizontal gene transfer, viral gene domestication, and exon shuffling. We examine the population dynamics that govern the fixation of new genes, their functional integration, and the selective forces acting upon them—from purifying selection to adaptive innovation. Examples such as NOTCH2NL and SRGAP2C, which originated through recent segmental duplications followed by neofunctionalization, illustrate how duplicate-derived de novo genes can play a key role in human brain development. In addition, we highlight the emerging relevance of nuclear architecture in determining the evolutionary fate of new genes, offering a spatial dimension to gene innovation. We also discuss methodological approaches for detecting new genes and inferring selection, and finally, we highlight the emerging role of the human pangenome in revealing hidden gene diversity and its implications for evolutionary and biomedical research. Understanding gene innovation not only enhances our grasp of evolutionary processes but also informs clinical studies on disease susceptibility and human uniqueness. Full article
(This article belongs to the Special Issue The Origins and Evolution of Genes, Genetic Code and Proteins)
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16 pages, 5772 KiB  
Article
Integrated Analysis of miRNA and mRNA Expression Profiles Associated with Development of Skeletal Muscle of Jiangquan Black Pigs
by Yarui Gao, Shiyin Li, Wei Chen, Jianmin Zhang, Zhanchi Ren, Zhao Ma, Yunzhou Wang and Yongqing Zeng
Genes 2025, 16(6), 701; https://doi.org/10.3390/genes16060701 - 12 Jun 2025
Viewed by 383
Abstract
Background: Hypertrophy, myogenic differentiation, and mass gain of porcine skeletal muscle are key factors in meat production efficiency, regulated by miRNAs through post-transcriptional mechanisms. This study aims to identify miRNA-mRNA pairs linked to growth and muscle development in Jiangquan Black pigs with differing [...] Read more.
Background: Hypertrophy, myogenic differentiation, and mass gain of porcine skeletal muscle are key factors in meat production efficiency, regulated by miRNAs through post-transcriptional mechanisms. This study aims to identify miRNA-mRNA pairs linked to growth and muscle development in Jiangquan Black pigs with differing average daily gains (ADGs), providing a foundation for molecular breeding in this breed. Methods: This study divided eight pigs into two groups and analyzed the skeletal muscle characteristics of Jiangquan Black pigs with different average daily weight gains using HE staining. RNA-Seq was conducted to identify differentially expressed miRNAs and mRNAs, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed, and an integrated miRNA-mRNA regulatory network was subsequently constructed. Results: RNA sequencing analysis identified 255 differentially expressed genes (DEmRNAs, |FC| > 1.5) and 27 differentially expressed miRNAs (DE miRNAs, |FC| > 2). Bioinformatics analysis revealed 330 significantly negatively correlated miRNA-mRNA regulatory pairs, with key pathways, including the MAPK, mTOR, insulin, FoxO, Wnt, and TGF-β signaling pathways, being implicated in muscular development. Quantitative real-time PCR (qRT-PCR) validation confirmed the reliability of the sequencing data. Conclusions: Different ADGs among half-sibling Jiangquan Black pigs with the same diet may be due to the DE miRNAs and DEmRNAs related to skeletal muscle growth and development. These findings reveal the potential regulatory mechanisms of DE miRNAs and DEmRNAs in porcine skeletal muscle growth, providing valuable insights for the next steps in molecular breeding strategies for Jiangquan Black pigs. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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19 pages, 1172 KiB  
Article
Validating Single-Step Genomic Predictions for Growth Rate and Disease Resistance in Eucalyptus globulus with Metafounders
by Milena Gonzalez, Ignacio Aguilar, Matias Bermann, Marianella Quezada, Jorge Hidalgo, Ignacy Misztal, Daniela Lourenco and Gustavo Balmelli
Genes 2025, 16(6), 700; https://doi.org/10.3390/genes16060700 - 10 Jun 2025
Viewed by 504
Abstract
Background: Single-step genomic BLUP (ssGBLUP) has gained increasing interest from forest tree breeders. ssGBLUP combines phenotypic and pedigree data with marker data to enhance the prediction accuracy of estimated breeding values. However, potential errors in determining progeny relationships among open-pollinated species may result [...] Read more.
Background: Single-step genomic BLUP (ssGBLUP) has gained increasing interest from forest tree breeders. ssGBLUP combines phenotypic and pedigree data with marker data to enhance the prediction accuracy of estimated breeding values. However, potential errors in determining progeny relationships among open-pollinated species may result in lower accuracy of estimated breeding values. Unknown parent groups (UPG) and metafounders (MF) were developed to address missing pedigrees in a population. This study aimed to incorporate MF into ssGBLUP models to select the best parents for controlled mating and the best progenies for cloning in a tree breeding population of Eucalyptus globulus. Methods: Genetic groups were defined to include base individuals of similar genetic origin. Tree growth was measured as total height (TH) and diameter at breast height (DBH), while disease resistance was assessed through heteroblasty (the transition from juvenile to adult foliage: ADFO). All traits were evaluated at 14 and 21 months. Two genomic multi-trait threshold linear models were fitted, with and without MF. Also, two multi-trait threshold-linear models based on phenotypic and pedigree information (ABLUP) were used to evaluate the increase in accuracy when adding genomic information to the model. To test the quality of models by cross-validation, the linear regression method (LR) was used. Results: The LR statistics indicated that the ssGBLUP models without MF performed better, as the inclusion of MF increased the bias of predictions. The ssGBLUP accuracy for both validations ranged from 0.42 to 0.68. Conclusions: The best model to select parents for controlled matings and individuals for cloning is ssGBLUP without MF. Full article
(This article belongs to the Section Plant Genetics and Genomics)
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53 pages, 1863 KiB  
Review
The Role of Adiponectin and ADIPOQ Variation in Metabolic Syndrome: A Narrative Review
by Wiktoria Błażejewska, Justyna Dąbrowska, Joanna Michałowska and Paweł Bogdański
Genes 2025, 16(6), 699; https://doi.org/10.3390/genes16060699 - 10 Jun 2025
Viewed by 733
Abstract
Metabolic syndrome (MetS), a significant global health concern, is characterized as a cluster of metabolic abnormalities that elevate the risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). Adiponectin, an adipokine secreted by adipose tissue, plays a crucial role in regulating [...] Read more.
Metabolic syndrome (MetS), a significant global health concern, is characterized as a cluster of metabolic abnormalities that elevate the risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). Adiponectin, an adipokine secreted by adipose tissue, plays a crucial role in regulating glucose and lipid homeostasis while exhibiting protective effects against vascular alterations. Single-nucleotide variants (SNVs) in the ADIPOQ gene have significantly affected circulating adiponectin levels and metabolic parameters. This narrative review examines current evidence on the relationship between adiponectin, ADIPOQ gene variants, and metabolic syndrome. The findings indicate that lower adiponectin levels are associated with an increased risk of metabolic syndrome components, including elevated triglycerides (TGs), low-density lipoprotein cholesterol (LDL-C), and fasting glucose levels. In conclusion, adiponectin emerges as a key regulator of metabolic homeostasis, with SNVs in the ADIPOQ gene correlating with the development of metabolic-related complications. Full article
(This article belongs to the Section Human Genomics and Genetic Diseases)
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14 pages, 1182 KiB  
Article
Direct Oral Anticoagulant-Related Bleeding in Atrial Fibrillation Patients Leads to ADAMTS7 Promoter Demethylation
by Georgia Ragia, Thomas Thomopoulos, Myria Pallikarou, Natalia Atzemian, Anthi Maslarinou, Georgios Chalikias, Athanasios Trikas, Dimitrios N. Tziakas and Vangelis G. Manolopoulos
Genes 2025, 16(6), 698; https://doi.org/10.3390/genes16060698 - 9 Jun 2025
Viewed by 461
Abstract
Background/Objectives: Among other substrates, the a disintegrin and metalloproteinase with thrombospondin motifs 7 (ADAMTS7) protease degrades thrombospondin-5 (the cartilage oligomeric protein, COMP), thrombospondin-1 (TSP-1) and the tissue inhibitor of metalloproteinases-1 (TIMP-1) indicating a potential role of ADAMTS7 expression on coagulation cascade, [...] Read more.
Background/Objectives: Among other substrates, the a disintegrin and metalloproteinase with thrombospondin motifs 7 (ADAMTS7) protease degrades thrombospondin-5 (the cartilage oligomeric protein, COMP), thrombospondin-1 (TSP-1) and the tissue inhibitor of metalloproteinases-1 (TIMP-1) indicating a potential role of ADAMTS7 expression on coagulation cascade, tissue remodeling and wound healing. We analyzed the potential effect of direct oral anticoagulant (DOAC) treatment on ADAMTS7 promoter methylation and followed it over time to assess whether DOACs epigenetically modulate ADAMTS7 and induce pathways associated with coagulation or endothelium repair machinery. Methods: Eighty-four DOAC-treated atrial fibrillation (AF) patients followed-up from baseline (t0) to 7 days (t1, n = 70) and 28 days of treatment (t2, n = 62) and 19 non-AF controls were included in the study. Genomic DNA was extracted from blood at all timepoints and was bisulfite-converted prior to methylation analysis. ADAMTS7 promoter DNA methylation was analyzed with MIP-qMSP-PCR. Results: A total of 16 minor bleeding events occurred. The baseline percentage of ADAMTS7 methylation did not differ between AF patients and controls (15.8% vs. 16.1%, p = 0.908). In the patient cohort, DOAC therapy marginally decreased ADAMTS7 methylation from t0 to t2 (15.2% vs. 14.0%, p = 0.044). This ADAMTS7 demethylation from t0 to t2 was statistically significant only in patients experiencing bleeding (17.1%. vs. 13.4%, p = 0.010 in bleedings, 14.5% vs. 14.2%, p = 0.561 in non-bleedings). No other differences were observed. Conclusions: ADAMTS7 is demethylated during DOAC-related bleedings, a mechanism potentially leading to COMP degradation and thus thrombin-induced platelet aggregation, as well as the induction of endothelium repair through different ADAMTS7-dependent pathways. Full article
(This article belongs to the Section Human Genomics and Genetic Diseases)
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3 pages, 147 KiB  
Editorial
Editorial on Genomic Mosaicism in Human Development and Diseases
by Xincen Xi and Xiaoxu Yang
Genes 2025, 16(6), 697; https://doi.org/10.3390/genes16060697 - 9 Jun 2025
Viewed by 399
Abstract
The individual genome continuously accumulates genetic variations from a zygote [...] Full article
(This article belongs to the Special Issue Genomic Mosaicism in Human Development and Diseases)
18 pages, 3630 KiB  
Article
Identifying CDCA4 as a Radiotherapy Resistance-Associated Gene in Colorectal Cancer by an Integrated Bioinformatics Analysis Approach
by Lin Chen, Yawei Gao, Zhiqing Hu, Jingwen Si, Yuchao Zhang and Qingping Cai
Genes 2025, 16(6), 696; https://doi.org/10.3390/genes16060696 - 9 Jun 2025
Viewed by 485
Abstract
Background: Colorectal cancer (CRC) remains one of the most prevalent and fatal malignancies globally, with radiotherapy playing a crucial role in the treatment of locally advanced rectal cancer (LARC). However, the efficacy of radiotherapy is limited by significant resistance, with only a small [...] Read more.
Background: Colorectal cancer (CRC) remains one of the most prevalent and fatal malignancies globally, with radiotherapy playing a crucial role in the treatment of locally advanced rectal cancer (LARC). However, the efficacy of radiotherapy is limited by significant resistance, with only a small proportion of patients achieving a pathologic complete response (PCR) to neoadjuvant chemoradiotherapy (nCRT). This study aims to uncover the genetic and molecular factors contributing to radiotherapy resistance in CRC through an integrated analysis of germline mutations, transcriptomic data, and immune microenvironment characteristics. Methods: Whole-exome sequencing (WES) was performed on tumor samples from 12 LARC patients. Transcriptomic data from the TCGA-READ and GSE150082 (LARC with chemoradiotherapy) cohorts were integrated with WES findings. The independent cohort GSE190826 (neoadjuvant therapy in rectal cancer) dataset was utilized to validate the WES data. Single-cell RNA sequencing (scRNA-seq) analysis of GSE132465 (primary CRC) resolved cellular heterogeneity. A random forest algorithm was employed to develop a predictive gene signature. Results: Our findings reveal a mutational landscape associated with radiotherapy resistance, identifying specific germline mutations linked to treatment outcomes. Differential gene expression analysis highlighted pathways involved in DNA replication, DNA repair, and immune regulation, with a focus on the tumor immune microenvironment (TIME). A gene signature, including CDCA4, FANCA, PBRM1, RPL13, and C12orf43, was developed to predict radiotherapy response. Notably, CDCA4 expression was significantly associated with tumor mutation burden (TMB) and microsatellite instability (MSI), and it plays a crucial role in regulating B cell infiltration in the tumor microenvironment. Conclusions: Our study provides novel insights into the molecular mechanisms of radiotherapy resistance in CRC and proposes CDCA4 and B cell-related immune features as potential biomarkers for patient stratification and personalized treatment strategies. Full article
(This article belongs to the Section Bioinformatics)
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12 pages, 1158 KiB  
Article
ChromoCheck: Predicting Postnatal Chromosomal Trisomy Cases Using a Support Vector Machine Learning Model
by Nabras Al-Mahrami, Nuha Al Jabri, Amal A. W. Sallam, Najwa Al Jahdhami and Fahad Zadjali
Genes 2025, 16(6), 695; https://doi.org/10.3390/genes16060695 - 8 Jun 2025
Viewed by 495
Abstract
Introduction: Chromosomal study via karyotype is one of the historical gold-standard procedures used to provide a clearer view of chromosomal trisomy abnormalities. It has been used to correlate several phenotypic manifestations that require immediate medical intervention. However, the laboratory procedure persisted with various [...] Read more.
Introduction: Chromosomal study via karyotype is one of the historical gold-standard procedures used to provide a clearer view of chromosomal trisomy abnormalities. It has been used to correlate several phenotypic manifestations that require immediate medical intervention. However, the laboratory procedure persisted with various drawbacks. The recent machine learning model shed light on prediction capabilities in the medical field. In this study, we aimed to use a support vector machine model for predicting postnatal chromosomal trisomy cases. Methods: A dataset of 946 neonatal records from the Royal Hospital, Muscat, Oman, covering the period from 2013 to 2023, has been used in this model. The model is based on features such as thyroxine hormone levels and thyroid-stimulating hormone levels. With different R packages, we used a support vector machine model with leave-one-out cross-validation and ten iterations to test three kernel functions: linear, radial, and polynomial. Results: Among the obtained kernel performances, the linear kernel has optimal classification performance. The training accuracy was 81%, and the testing accuracy was 82%. Sensitivity ranged from 97 to 98%, and specificity ranged from 79 to 80%. The area under the curve in relation to the training dataset came to 0.89, and it came to 0.90 for the test dataset. We deployed the trained models in a website tool called ChromoCheck. Conclusions: Our study is an example of how machine learning can be instrumental in augmenting conventional methods of cytogenetics diagnosis and decision-making in a clinical setup. Full article
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19 pages, 2361 KiB  
Article
Genetic Variation and Metapopulation Structure Inform Recovery Goals in a Threatened Species
by Molly J. Garrett, Courtney J. Conway, Lisette P. Waits and Paul A. Hohenlohe
Genes 2025, 16(6), 694; https://doi.org/10.3390/genes16060694 - 8 Jun 2025
Viewed by 481
Abstract
Background: Monitoring genetic parameters is important for setting effective conservation and management strategies, particularly for small, fragmented, and isolated populations. Small, isolated populations face increased rates of genetic drift and inbreeding, which increase extinction risk especially when gene flow is limited. Methods: Here, [...] Read more.
Background: Monitoring genetic parameters is important for setting effective conservation and management strategies, particularly for small, fragmented, and isolated populations. Small, isolated populations face increased rates of genetic drift and inbreeding, which increase extinction risk especially when gene flow is limited. Methods: Here, we applied a Genotyping-in-Thousands by sequencing (GT-seq) panel to inform recovery action for the federally threatened northern Idaho ground squirrel (Urocitellus brunneus). We evaluated genetic diversity, structure, connectivity, and effective population size to address species recovery goals. Results: We delineated three types of conservation units: (1) three evolutionarily significant units that represent long-term population structure and variation, (2) nine management units that reflect current demographic connectivity and restrictions to gene flow, and (3) three adaptive units that capture adaptive differentiation across the species range. Effective population sizes per management unit were small overall (mean 38.16, range 2.3–220.9), indicating that recovery goals of 10 subpopulations with Ne > 500 have not been reached. Conclusions: Our results support the maintenance of connectivity within evolutionarily significant units through the restoration of dispersal corridors. Next steps could include further sampling of some subpopulations with low sample sizes, unsampled subpopulations, and subpopulations that are geographically isolated. Genotyping future samples with the same GT-seq panel would help to detect dispersal, assess effective population size, monitor the effects of inbreeding, and evaluate adaptive differentiation to monitor the effects of management action and environmental change. Full article
(This article belongs to the Special Issue Advances of Genetics in Wildlife Conservation and Management)
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20 pages, 1452 KiB  
Article
Swertianin Suppresses M1 Macrophage Polarization and Inflammation in Metabolic Dysfunction-Associated Fatty Liver Disease via PPARG Activation
by Jing Xia, Wei Xiong, Ce Yang, Ying Tan, Xiaoyuan Peng and Wenxiang Wang
Genes 2025, 16(6), 693; https://doi.org/10.3390/genes16060693 - 6 Jun 2025
Viewed by 447
Abstract
Background: Metabolic dysfunction-associated fatty liver disease (MASLD) is closely associated with immune dysregulation and macrophage-driven inflammation. The activation of PPARG plays a critical role in modulating macrophage polarization and lipid metabolism, suggesting its potential as a therapeutic target for MASLD. Methods: We used [...] Read more.
Background: Metabolic dysfunction-associated fatty liver disease (MASLD) is closely associated with immune dysregulation and macrophage-driven inflammation. The activation of PPARG plays a critical role in modulating macrophage polarization and lipid metabolism, suggesting its potential as a therapeutic target for MASLD. Methods: We used UPLC-Q/TOF-MS and network pharmacology to investigate the key components and targets of Swertia davidi Franch, focusing on Swertianin. In vitro experiments on macrophages were conducted to assess the modulation of M1 polarization, and a mouse model of MASLD was utilized to explore the therapeutic effects of Swertianin. Results: Swertianin activated PPARG, leading to significant inhibition of M1 macrophage polarization, a reduction in lipid accumulation, and decreased inflammatory marker levels both in vitro and in vivo. The treatment significantly improved liver pathology in mice, indicating its therapeutic potential for MASLD. Conclusions: Swertianin’s activation of PPARG provides a novel mechanism for treating MASLD, targeting both macrophage polarization and inflammation. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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19 pages, 5771 KiB  
Article
Identifying Candidate Genes Related to the Nutritional Components of Soybean (Glycine max) Sprouts Based on the Transcriptome and Co-Expression Network
by Cheng Wang, Qiaoli Hu, Yan Wang, Shulin Lan, Xueting Li, Hui Liu, Xue Feng, Qiaoxia Shang and Weiyu Li
Genes 2025, 16(6), 692; https://doi.org/10.3390/genes16060692 - 6 Jun 2025
Viewed by 485
Abstract
Background: During the germination of soybean seeds, many biochemical metabolic reactions become extremely active, resulting in a series of physiological and biochemical activities, and the seeds being rich in nutrients. Studying the network and key genes that regulate the nutritional content of bean [...] Read more.
Background: During the germination of soybean seeds, many biochemical metabolic reactions become extremely active, resulting in a series of physiological and biochemical activities, and the seeds being rich in nutrients. Studying the network and key genes that regulate the nutritional content of bean sprouts is particularly important. Methods: In this study, the nutrient contents of Dongnong 254 and Heze small beans were measured when the bean sprouts were 1 cm, 3 cm, 5 cm and 7 cm long, and transcriptome sequencing was performed. Results: Clustering and principal component analysis (PCA) revealed that the samples could be divided into three groups. The differences between Dongnong 254 and Heze small bean samples with sprout lengths of 5 cm and 7 cm were greater than those between materials. Through differential expression analysis, 18,472 differentially expressed genes (DEGs) in the material included 1816 unique DEGs, and a total of six clusters with statistical significance were identified, which were enriched in pathways related to photosynthesis and sugar metabolism. The 6938 DEGs among the materials included 1044 unique DEGs, and a total of nine statistically significant clusters were identified, which were mainly annotated in pathways related to photosynthesis, hormones and flavonoids. Three specific modules that were significantly related to the nutritional content of bean sprouts were identified via WGCNA. The connectivity and functional annotation of genes within the modules were calculated, and nine candidate genes were found, nine of which encoded transcription factors (Glyma.16G071900 (WD40), Glyma.17G172400 (bHLH), Glyma.18G148000 (AP2) and Glyma.01G003000 (MYB)). Conclusions: These research results provide a theoretical basis for an in-depth understanding of the molecular mechanisms of soybean sprout development and nutritional components and provide new genetic resources for the study of nutritional components in soybean sprouts. Full article
(This article belongs to the Section Plant Genetics and Genomics)
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