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Mechanism of Shoutai Wan against recurrent spontaneous abortion: regulation of decidual vascular remodeling via ERβ-ANGPT2 signaling axis.

Shoutai Wan (STW), a classic traditional Chinese medicine formula used to tonify the kidney and prevent miscarriage, has been widely applied in the clinical management of recurrent spontaneous abortion (RSA). Increasing clinical evidence supports its efficacy in reducing miscarriage rates and improving pregnancy outcomes. However, the molecular basis by which STW alleviates defective decidual vascular remodeling in unexplained RSA remains insufficiently understood. Clinically, decidual ERβ and ANGPT2 expression, as well as serum estradiol, ANGPT2 and VEGFA levels were significantly decreased in RSA patients, accompanied by reduced decidual microvascular density. Furthermore, ERβ expression was positively correlated with ANGPT2 and microvascular density. In vivo, STW dose-dependently reduced embryo loss in RSA mice, repaired the damaged decidual-placental interface structure, and improved vascular maturation, structural stability and endothelial-pericyte ultrastructural connections. Mechanistically, STW upregulated ERβ expression. We demonstrated that ERβ binds to the ANGPT2 promoter, suggesting transcriptional upregulation of ANGPT2, thereby activating Tie2 and the downstream PI3K/AKT pathway and increasing NO and VEGFA secretion. In vitro, hypoxia inhibited ERβ nuclear translocation and ANGPT2 secretion in mDSCs, while STW-containing serum reversed these abnormalities. ERβ knockdown impaired the pro-angiogenic capacity of mDSCs, which was partially rescued by exogenous ANGPT2 supplementation. Network pharmacology predicted that STW targets were mainly enriched in PI3K-Akt, estrogen, VEGF and angiogenesis-related pathways. Transcriptomic GSEA further revealed that the gene signatures of angiogenesis and PI3K-Akt signaling were markedly suppressed in the RSA model, and STW treatment significantly normalized these transcriptional signatures.

Female↗

Integrated molecular and immune profiling identifies FOXA1 as a complementary co-target to MUC1 for bispecific immunotherapy in breast cancer.

In breast cancer immunotherapy, Mucin 1 (MUC1) is a well-established target with promising preclinical results; however, single targeting of MUC1 has demonstrated limited efficacy in clinical trials, largely due to tumor heterogeneity, diverse glycosylation patterns, and an immunosuppressive TME. Identification of complementary co-targets enables bi-specific or dual-target immunotherapy, limiting antigen escape, improving specificity, and reducing relapse. Here, we employed a comprehensive multi-layered analytical approach to evaluate MUC1 expression, clinical relevance, and methylation status, followed by systematic screening of MUC1-correlated genes. Antigenicity prediction and protein-protein interaction analyses identified Forkhead Box A1 (FOXA1) as a potential functional partner. Expression analysis revealed concordant patterns of MUC1 and FOXA1 across breast cancer samples, while network mapping demonstrated shared interactions with adhesion-associated proteins, including CTNNB1, CTNND1, and CDH1, suggesting roles in epithelial organization and tumor progression. Further validation using gene expression datasets from Indian breast cancer cohorts confirmed consistent expression and correlation patterns, supporting reproducibility across populations. Immune profiling revealed an inverse association between MUC1-FOXA1 co-expression and immune-related gene signatures, with high co-expression linked to reduced infiltration of dendritic cells, CD4⁺ and CD8⁺ T cells, macrophages, and natural killer cells, indicative of an immunosuppressive microenvironment. Negative correlations with MHC Class I genes further suggested impaired antigen presentation. Epitope prediction identified high-affinity peptides from both targets with strong MHC Class I binding potential. Collectively, these findings support the associated role of MUC1 and FOXA1 as dual immunotherapeutic targets in breast cancer.

Hepatocyte Nuclear Factor 3-alpha↗

Pan-genomics and multi-omics for deciphering genetic variation and accelerating genetic improvement in ruminant livestock.

Livestock reference genomes have transformed the discovery of variants associated with production, reproduction, health, and environmental adaptation. Nevertheless, a single linear reference represents only one mosaic haplotype and incompletely captures sequence diversity within a species, particularly structural variants, copy-number changes, repeat-rich regions, and breed-specific sequences. Pangenomes address this limitation by integrating multiple high-quality assemblies or population-scale variants into a unified sequence or graph representation. Concurrently, multi-omics approaches connect genomic variation with transcriptomic, epigenomic, manuscriptproteomic, metabolomic, and microbiome responses, thereby improving biological interpretation of genotype-phenotype relationships. This review synthesizes recent progress in livestock pangenomics and multi-omics, with emphasis on cattle, goats, sheep, water buffalo, and chickens. It describes advances in long-read and haplotype-resolved sequencing, graph construction, structural-variant discovery and genotyping, functional annotation, and integrative analysis. Recent pangenome studies have uncovered substantial non-reference sequence, reduced reference bias, identified breed- and population-specific structural variants, and resolved candidate variants underlying pigmentation, body size, tail morphology, cashmere production, altitude adaptation, and other economically relevant traits. However, translation into routine breeding remains constrained by uneven population representation, inconsistent structural-variant definitions, limited functional annotation, computational demands, and insufficient validation across environments. Future progress will depend on diverse near-complete assemblies, graph-aware imputation and genomic prediction, long-read transcriptomics, single-cell and spatial omics, rigorous causal validation, and open, interoperable resources. Together, these developments can support more accurate, resilient, and biologically informed livestock improvement. Importantly, current dairy-cattle evidence indicates that pangenome-derived structural variants can substantially improve variant discovery and functional interpretation while yielding only marginal average gains in routine genomic prediction, favoring targeted augmentation rather than wholesale replacement of established SNP-based evaluations.

Animals↗

Metagenomic analysis of the midgut microbiome in Dermacentor abaensis ticks at different feeding states.

Ticks are blood-sucking ectoparasites of humans and animals, ranking second only to mosquitoes as vectors of diseases. Dermacentor abaensis is distributed in Sichuan, Qinghai, and Gansu, China. Because D. abaensis harbors several pathogens, it poses a threat to public health and livestock production. However, the midgut microbiota of D. abaensis at distinct feeding states remains poorly characterized. Adult D. abaensis ticks at various feeding states were collected from yaks in Gansu Province, China. Genomic DNA was extracted from midguts and midgut contents of unfed, partially fed, and fully engorged female D. abaensis. A metagenomic sequencing approach was employed to profile the midgut microflora among three groups. A total of 83 phyla, 908 genera, and 1857 species were annotated across the three groups. At the phylum level, Pseudomonadota, Mucoromycota, and Ascomycota were the most abundant. At the species level, common bacterial species such as Klebsiella pneumoniae and Anaplasma phagocytophilum, alongside viruses and eukaryotes, were detected in all three groups. Unique microorganisms were also observed in each group: unfed (n = 305), partially fed (n = 59), and fully engorged (n = 20). Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis suggested that the D. abaensis microbiome contains a relatively high abundance of functional genes involved in lipid and amino acid metabolism across the three different feeding states. These findings indicate that while core microbial taxa are shared in the midgut of female D. abaensis, observable trends suggest variations in microbial diversity and composition as blood-feeding progresses. The present study provides a descriptive baseline of the midgut microbial composition of D. abaensis, which may inform future studies on tick biology and the ecology of tick-borne pathogens.

Animals↗

Berberine shows potential in mitigating PM2.5-induced breast cancer progression by inducing DNA damage and inhibiting error-prone DNA repair pathways.

Breast cancer remains the most common cancer among women, with 2.3 million new cases reported globally in 2022. Alongside established risk factors such as age, family history, genetics, obesity, smoking, and alcohol, exposure to fine particulate matter (PM2.5) has recently emerged as an environmental contributor. This risk is especially concerning for low- and middle-income countries (LMICs), where both PM2.5 exposure and cancer burden are disproportionately high; however, mechanistic studies from these regions remain limited. To address this gap and develop mitigation strategies, we investigated the oncogenic potential of water-soluble PM2.5 collected from ambient air on breast cancer and evaluated the potential role of nutraceuticals in mitigating these effects. PM2.5 exposure increased proliferation, migration, and ROS generation, while promoting the formation of multinucleated giant cells, leading to genomic instability. Berberine, a natural alkaloid, countered these effects by increasing DNA damage and exploiting tumor-specific genomic vulnerabilities through disruption of DNA damage response and repair networks, thereby promoting programmed cell death. Transcriptomic profiling of Delhi PM2.5-treated MCF7 cells revealed a Delhi PM2.5-associated carcinogenic gene signature enriched in MAPK signalling, reactive oxygen species, metabolic, lysosomal, and ribosomal pathways. We also found that several genes, including BIRC5, WSB1, and RCC1, within this PM2.5-induced gene signature were dysregulated in breast cancer patients and were inversely regulated by berberine treatment, suggesting that berberine counteracts the transcriptional effects of PM2.5. Our findings highlight ambient PM2.5 exposure as a driver of breast cancer progression and identify berberine as a promising candidate in mitigating PM2.5 effects; however, thorough preclinical and clinical validations are warranted.

Berberine↗

Reframing early gastric carcinogenesis through lineage, niche, and evolution.

Early gastric cancer is still commonly conceptualized as the endpoint of a linear sequence from chronic gastritis to intestinal metaplasia, dysplasia, and invasion. Yet recent single-cell, spatial, genomic, and functional studies indicate that this model incompletely captures the biology of early gastric carcinogenesis. Malignant potential is established progressively within a precancerous gastric field already shaped by somatic evolution, chronic inflammatory injury, and epithelial lineage distortion. Within this field, progression is concentrated in a restricted set of precursor states, particularly incomplete, hybrid, and stem-like metaplastic populations that display plasticity, persistence, and increasing compatibility with a supportive microenvironment. Fibroblast niche remodeling, immune protection loss, endothelial rewiring, genomic instability, epigenetic drift, and selective retention of advantageous molecular alterations further promote malignant commitment. In parallel, diffuse gastric cancer appears to follow a distinct route that may arise independently of conventional intestinal metaplasia through E-cadherin-deficient epithelial transformation and downstream chromatin reprogramming. Here, we synthesize recent evidence to propose an updated framework for early gastric carcinogenesis based on field evolution, lineage instability, ecosystem support, and pathway divergence. Rather than replacing the classical Correa cascade, this framework seeks to refine it by shifting the unit of risk assessment from histologic stage alone to biologically defined precursor states shaped by lineage instability, clonal persistence, niche permissiveness, and pathway-specific molecular constraints. This perspective shifts the emphasis of prevention from detecting smaller cancers to identifying and intercepting biologically committed precursor states before invasion occurs.

Humans↗

Impaired leptin A signaling disrupts hepatic lipid metabolism and growth in female medaka (Oryzias latipes).

Leptin is a central regulator of appetite and energy metabolism in vertebrates, and its deficiency in mammals typically results in hyperphagia and severe obesity. In fish, however, the physiological roles of leptin remain less clearly defined, partly due to the whole genome duplication (WGD) and divergent expression patterns. In this study, we generated a leptin A (lepa) loss-of-function mutant in medaka (Oryzias latipes) using CRISPR/Cas9 to investigate the function of leptin signaling. Phenotypic analysis revealed that female homozygous mutants exhibited significantly reduced body length and body weight compared with wild-type females, indicating growth impairment. Unexpectedly, despite their lean phenotype, the female mutants developed pronounced hepatic steatosis accompanied by the formation of spongiosis hepatis structures, while no obvious fibrosis was detected. To explore the molecular mechanisms underlying these abnormalities, transcriptomic profiling of mutant livers was performed. Differentially expressed genes were significantly enriched in pathways related to lipid metabolism, including Fatty acid metabolism and PPAR signaling pathway, suggesting a potential reduction in hepatic fatty acid β-oxidation capacity. In addition, genes involved in endoplasmic reticulum stress, autophagy, and apoptosis were altered, indicating transcriptional changes in cellular stress-response pathways under leptin A deficiency. Together, these findings suggest that leptin A may play an important role in coordinating growth and hepatic lipid metabolism in medaka and highlight potential differences in leptin-mediated metabolic regulation between fish and mammals.

Animals↗

DNA methylation biomarkers for early detection of ovarian cancer.

Ovarian cancer (OC) remains difficult to detect at an early stage, and current screening approaches using CA125 and transvaginal ultrasonography have not demonstrated sufficient benefit for population screening. DNA methylation is a promising biomarker class because epigenetic alterations may arise early in tumourigenesis, can be detected in circulating cell-free DNA (cfDNA), and may provide tissue-of-origin information. This review critically evaluates recent evidence on DNA methylation biomarkers for early OC detection. PubMed/MEDLINE, Web of Science, and Scopus were searched for studies published between January 2020 and September 2025, supplemented by selected earlier studies of biological or methodological relevance. Evidence was synthesised across single-gene biomarkers, multi-locus panels, genome-wide signatures, assay platforms, and machine-learning classifiers, with emphasis on early-stage performance, histological representation, comparator populations, analytical methodology, and validation design. Single-gene markers such as BRCA1, RASSF1A, OPCML, HOXA9, and HIC1 show variable performance, while multi-gene and classifier-based approaches generally provide stronger discrimination. However, many studies remain limited by retrospective case-control designs, small FIGO stage I-II subsets, predominance of serous disease, and insufficient prospective validation. Integration with CA125 may improve sensitivity but can reduce specificity, which is critical in low-prevalence screening. Clinical translation will therefore require minimal and reproducible methylation signatures, standardised low-input cfDNA workflows, rigorous external validation, and prospective longitudinal evaluation in intended-use populations.

Humans↗

Comprehensive transcriptomic analysis of BjGL1-knockout Brassica juncea: novel insights into leaf trichome formation.

Brassica juncea is a common cruciferous crop, which can be used not only for oil extraction but also as condiments and medicinal materials. It is regarded by both traditional medicine and modern nutrition science as a food with combined dietary and health promoting value. Leaf trichomes are hair-like structures differentiated from epidermal cells and constitute an important barrier against biotic and abiotic stresses, playing a crucial role in enhancing plant resistance and thus possessing significant scientific relevance. In this study, the phenotype and gene editing site of BjA06.GL1 and BjB02.GL1 knockout mustard T1 generation plants were identified. Then, RNA sequencing was performed to compare the leaf transcriptome profiles between gene-edited lines and wild-type plants, with the aim of elucidating the molecular regulatory mechanisms by which BjGL1 controls leaf trichome development and associated biological processes in mustard. The sequencing data showed that, on average, 90.64% of the reads uniquely aligned to the Brassica juncea (Xuecai) reference genome. A total of 4,604 differentially expressed genes were identified in this study. Compared with the gene knockout mutant, 1,831 genes were significantly upregulated and 2,773 genes were downregulated in mustard leaves with trichomes. The differentially expressed genes were mainly enriched in pathways related to cytochrome P450 (CYP), transporters, environmental adaptation, and plant-pathogen interactions. These pathways are closely associated with secondary metabolite biosynthesis, transmembrane transport, and responses to abiotic stress and pathogen defense. qRT-PCR validation confirmed consistent expression trends of trichome regulatory genes screened from transcriptome data. This study provides an important theoretical basis for elucidating molecular mechanisms potentially contributing to trichome formation in mustard.

Mustard Plant↗

Genomic insights of first varicella zoster clade9 strain: a potential silent surge in Pakistan.

The study presents the first-time detection of one of the rare clades (clade9 strain) of varicella zoster virus (VZV) from Pakistan. The next-generation sequencing confirmed wild-type clade9 strain through clade-specific markers at C5827A, T33722C, T33725C, T33728C, T38055C, G69424A, C87841T and T95241C and restriction profile of PstI+BgII+SmaI-. The rarely reported SNPs (22/134) were detected along with 12/42 rare amino-acid mutations. However, the mutations at C77Y, Q43H, D613E and A2V were predicted to be not-tolerated hence might affect protein function. The VZV (PV934234) strain clustered with clade9 strains upon phylogenetics. Thus, the first-time detection of clade9 raises concern of limited genomic surveillance of VZV in Pakistan. This necessitates genomic surveillance and continuous clinical vigilance in Pakistan to avoid any potential silent surge in the country.

Clade 9↗

First isolation and characterisation of human Rotavirus alphagastroenteritidis from cerebrospinal fluid in Malaysia.

Rotavirus infection is a major cause of paediatric gastroenteritis and has increasingly been associated with neurological complications, although direct evidence of central nervous system involvement remains limited. In this study, Rotavirus A was detected in both cerebrospinal fluid and stool samples from a child presenting with encephalopathy and seizures, and infectious virus was successfully propagated in mammalian cell lines. Genomic analysis revealed a Wa-like genotype constellation, G1-P[8]-I1-R1-C1-M1-A1-N1-T1-E1-H1. Although lateral flow immunoassay yielded negative results, molecular diagnostic approaches proved valuable for identifying atypical RVA infections.

Cerebrospinal fluid↗

Genomic features, metabolism, and biotechnological applications of Candida tropicalis and other non-albicans Candida species.

The production of bio-based products by yeasts from agroindustrial byproducts is a key strategy for advancing circular bioeconomy. While Saccharomyces species remain the predominant industrial yeasts, their limited ability to assimilate lactose, pentoses, and glycerol, as well as their sensitivity to lignocellulose-derived inhibitors, restricts their efficient application in bioprocesses based on using industrial byproducts as fermentation media. In contrast, several non-albicans Candida species exhibit broad substrate utilization capacities and enhanced tolerance to industrial stresses, making them attractive candidates for the bioconversion of agroindustrial residues. This review critically examines recent advances in the genomic, metabolic, and physiological characterization of promising non-albicans Candida species, including Candida tropicalis, Candida parapsilosis, Candida viswanathii, Candida sojae, and Candida maltosa. Emphasis is given to genome-scale metabolic models, carbon assimilation pathways, stress-response mechanisms, and metabolic engineering approaches aiming at the production of value-added compounds. By identifying current achievements, knowledge gaps, and biotechnological bottlenecks, this review highlights the potential of these yeasts as emerging platforms for sustainable bioprocesses within a circular bioeconomy framework.

Biotechnology↗

Parental longevity and polygenic longevity scores in relation to ageing-related factors in a population of 70-year-olds followed over six years: The Gothenburg H70 Birth Cohort Study.

As societies age, a deeper understanding of ageing-related factors that contribute to longevity is needed. We therefore investigated possible longevity factors (social, medical, and biological) in relation to parental longevity (PL) and polygenic longevity scores (PGLSs). We examined 1126 70-year-olds from the Swedish population-based Gothenburg H70 Birth Cohort study in 2014-2016 (response rate 72%), with follow-up in 2019-2022 (response rate 77.6%). Comprehensive examinations included self-reported information on parents' ages, socioeconomic factors, mental, cardiovascular, and neurological health, anthropometry, laboratory data, and genotyping to construct two continuous PGLSs variables (with and without the APOE locus). PL groups were categorised as high if both parents survived to age 85 (17.2%); medium if one parent had survived (43.3%), and low if neither parent had survived to age 85 (39.4%). Higher PL and higher PGLSs were related to less hypertension, higher educational level, better childhood, and current socioeconomic status. In addition, higher PL was associated with higher MMSE score, total cholesterol, HDL-cholesterol (HDL-c) and LDL-cholesterol (LDL-c), lower BMI, homocysteine and inflammatory markers (IL-6, CRP) levels, and less smoking, whereas higher PGLSs was related to less myocardial infarction. At follow-up, high-PL was associated with less increase in plasma pTau217. PGLSs were mainly related to socioeconomic and cardiovascular factors, while individuals with long-lived parents, in addition, had several other characteristics of longevity, such as less inflammation, homocysteine, and markers of dementia. PL may be a proxy for biological ageing and used as a screening for ageing-related disorders in the context of prevention.

APOE↗

Unraveling the Clinical Spectrum of DNASE1L3 Deficiency: Insights from Case Series and Systematic Literature Review.

BACKGROUND: DNASE1L3 deficiency is a rare monogenic cause of lupus and lupus-like autoimmunity resulting from impaired extracellular DNA clearance and sustained immune activation. Although most reported patients present with early-onset systemic lupus erythematosus (SLE), emerging evidence suggests broader phenotypic variability, including vasculitic and overlap manifestations. Whether these presentations represent distinct clinical entities or a continuum of DNASE1L3-associated immune dysregulation remains unclear. We aimed to define the clinical spectrum of DNASE1L3 deficiency and examine the relationship between recurrent pathogenic variants and disease severity. METHODS: We conducted a combined pediatric case series and systematic literature review. Four children with genetically confirmed biallelic DNASE1L3 variants followed at a tertiary pediatric rheumatology centre were retrospectively analysed for clinical, immunological, genetic, treatment, and outcome data. In parallel, a systematic search of PubMed/MEDLINE, Scopus, and Web of Science identified previously reported patients with confirmed biallelic pathogenic or likely pathogenic DNASE1L3 variants and extractable patient-level clinical data. To facilitate cross-case comparison, we applied an exploratory three-tier descriptive framework reflecting increasing disease severity: vasculitic or organ-limited disease (G1), systemic lupus or overlap phenotypes without irreversible organ damage (G2), and severe systemic organ-damaging disease (G3). The assigned grades were descriptive rather than permanent categories, as some patients may meet the criteria for a higher grade if broader systemic manifestations or irreversible organ damage develop during follow-up. FINDINGS: Fifteen reports provided extractable patient-level data, corresponding to 45 unique previously reported patients after accounting for known or probable overlapping reports. Combined with four patients from our centre, the analysis included 49 genetically confirmed individuals. SLE-dominant disease was the most frequent phenotype (27 [60%] of 45), followed by hypocomplementaemic urticarial vasculitis/HUVS-dominant disease (10 [22.2%]) and overlap phenotypes (8 [17.8%]). Renal involvement was reported in 30 (66.7%) of 45 patients, and disease onset occurred by age 3 years in 20 (44.4%). Persistent hypocomplementemia affecting C3 and C4 was frequently reported across the spectrum. Recurrent DNASE1L3 variants were observed across multiple phenotypic and severity grades. Variants such as p.Asn191Ser and p.Thr97Ilefs*2 occurred in patients spanning organ-limited vasculitic disease, lupus overlap phenotypes, and severe multisystem lupus with major organ involvement. CONCLUSION: DNASE1L3 deficiency was associated with a broad clinical spectrum of immune-mediated disease rather than a single clinicopathological entity. The occurrence of identical pathogenic variants across distinct phenotypic and severity states argues against a simple genotype-phenotype model and suggests that additional modifiers influence disease expression.

Humans↗

Rewiring Cellular Context as A Central Mechanism Governing Cancer Stem Cell Survival: Insights from ESC Comparisons.

Cancer stem cells (CSCs) drive tumor initiation, metastasis, and therapy resistance, yet their remarkable persistence remains poorly understood. While CSCs share stemness attributes with embryonic stem cells (ESCs), including self-renewal, transcriptional plasticity, and permissive chromatin, they exhibit a fundamentally divergent regulatory logic that prioritizes survival over developmental fidelity. ESCs maintain globally open chromatin that supports transcriptional hyperactivity but predisposes them to apoptosis under genotoxic stress, whereas CSCs maintain dynamically inducible, permissive chromatin at survival loci while repressing differentiation programs, enabling adaptive stress responses. We advance the hypothesis that CSC persistence emerges not from any single factor, but from the integrative rewiring of signaling cascades (Wnt/β-catenin, Notch, Hedgehog, PI3K/AKT/mTOR), stress-responsive transcription factors (HIFs, NF-κB, STAT3), and core pluripotency networks (OCT4, SOX2, NANOG) within a survival-centric context, reinforced by dynamic chromatin remodeling, inducible super-enhancer landscapes, and microenvironmental cues (hypoxia, inflammation, matrix stiffness). Within this framework, the E2F family serves as a key contextual integrator: in ESCs, constitutive E2F activity triggers p53-mediated apoptosis upon DNA damage, preserving genomic integrity; in CSCs, deregulated E2F activity redirects transcription toward DNA repair, antioxidant defenses, and anti-apoptotic programs. This functional divergence underscores that phenotypic outcome is determined by the broader cellular and epigenetic landscape rather than any single factor. We conclude that CSC persistence is an emergent property of this integrated, survival-centric program, fundamentally distinct from the developmental imperative of ESCs. Effective therapeutic strategies must therefore move beyond targeting individual pathways to dismantle the interconnected regulatory networks that define the CSC survival context, offering a more robust approach to overcome therapy resistance and prevent tumor relapse.

Cancer Stem Cells (CSCs)↗

Liquid fermentation and an adapted cetyltrimethylammonium bromide (CTAB) method enable sequencing-grade DNA extraction from Phanerodontia australis.

High-quality genomic DNA extraction from basidiomycete fungi remains challenging due to polysaccharide co-purification and nuclease-mediated DNA degradation. We systematically compared 22 experimental conditions combining five DNA extraction methods (one Dellaporta-based method, three CTAB-based variants, and one commercial kit) with five mycelium preparation techniques (scalpel scraping, fungal suspension, silica bead homogenization, liquid fermentation, and liquid nitrogen treatment) for Phanerodontia australis (BRM62389). DNA quality was assessed by 1% agarose gel electrophoresis, NanoDrop spectrophotometry, and Qubit fluorimetry. The optimal protocol combined liquid-fermentation mycelium with an adapted CTAB method, yielding Qubit-quantified concentrations of 34.2 and 62.6 ng/µL (samples S21 and S22), 260/280 ratios of 2.06 and 2.05, 260/230 ratios of 1.88 and 1.85, and no detectable DNA degradation by agarose gel electrophoresis. This protocol enabled whole-genome sequencing, yielding a 37.62 Mb assembly with 98.5% completeness as assessed by BUSCO v5 (basidiomycota_odb10 lineage dataset, n = 1,764). Liquid fermentation is associated with the production of younger, actively growing hyphae with reduced cell wall thickness, and the adapted CTAB method effectively removed residual polysaccharides. This protocol provides a reliable, cost-effective approach for obtaining sequencing-grade DNA from P. australis.

Basidiomycota↗

Optimization of protoplast based DNA isolation and genome analysis in a gamma-irradiated Aspergillus niger mutant strain.

Aspergillus niger is an important industrial fungus widely used for citric acid production and a range of biotechnological applications. In this study, a protoplast-based DNA isolation protocol was optimized for a gamma-irradiated A. niger AN-L103_M1 mutant strain, followed by whole-genome sequencing and functional genome analysis. Protoplast yield was strongly influenced by enzyme concentration and the molarity of the osmotic stabilizer. The highest yield was achieved at an enzyme concentration of 50&#xa0;mg/mL (2.487&#x2009;&#xb1;&#x2009;0.04&#x2009;&#xd7;&#x2009;10&#x2078; cells/mL) and 0.8&#xa0;M KCl (2.550&#x2009;&#xb1;&#x2009;0.06&#x2009;&#xd7;&#x2009;10&#x2078; cells/mL), with both factors showing significant effects (p&#x2009;<&#x2009;0.0001) in GraphPad Prism 11.0.0. Whole-genome sequencing performed using an Illumina NovaSeq 6000 platform yielded a 37.06&#xa0;Mb draft genome assembled into 537 contigs, with an N50 of 363,084&#xa0;bp and a GC content of 48.2%. BUSCO 14 analysis showed high completeness (97.95% complete BUSCOs). Functional annotation and KEGG pathway mapping identified genes involved in glycolysis, the tricarboxylic acid cycle, and citrate biosynthesis, while biosynthetic gene cluster analysis revealed diverse potential for secondary metabolite production. These findings provide an optimized workflow for protoplast-based DNA isolation and genome-scale functional analysis in A. niger, proposing a basis for future comparative genomics, transformation studies, and experimentally validated metabolic engineering.

Aspergillus niger↗