Search Results (8,138)

Modulation of the gut microbiota represents a promising approach to counteract diet-induced metabolic alterations, with microalgae emerging as potential interventions. Building on our previous in vivo evidence that dietary supplementation with the marine microalga Tisochrysis lutea F&M-M36 (T. lutea) positively modulates selected metabolic alterations under high-fat feeding, the present study aimed to identify potential associations between these metabolic changes and coordinated modifications of the gut microbiota. Animals were fed normal-fat (NF), high-fat (HF), or HF supplemented with 5% T. lutea (HFTiso) diets for three months. Gut microbial profiles were analyzed by 16S rRNA sequencing and correlated with plasma lipids, glucose, blood pressure, fecal lipid excretion, and adiponectin levels. T. lutea supplementation was associated with significant modulation of selected metabolic parameters and coherent alterations in gut microbial communities. Multivariate analyses revealed treatment-dependent clustering of metabolic profiles, with HFTiso forming an intermediate group between HF and NF diets. Beta-diversity analyses showed marked treatment-specific shifts, while alpha-diversity remained stable. Linear discriminant analysis identified 31 discriminative genera, with the HFTiso group enriched in taxa associated with fermentative metabolism and lipid-related metabolic pathways including Anaerotruncus, Marvinbryantia, and Eubacterium coprostanoligenes, while the HF group was linked to Clostridium sensu stricto 1 and Terrisporobacter. Positive correlations between HFTiso-associated taxa and adiponectin levels were consistent with microbiota-associated metabolic signatures. In parallel, T. lutea supplementation was associated with downregulation of colonic Niemann-Pick C1-like 1 (NPC1L1) mRNA expression, a key mediator of intestinal cholesterol uptake. The bioactivity of T. lutea likely reflects its content of polyunsaturated fatty acids, oleic acid, phytosterols, and fucoxanthin; however, whether these components act synergistically or whether specific bioactive compounds are primarily responsible remains to be clarified. Together, these findings indicate that T. lutea supplementation is associated with coordinated changes in gut microbiota composition and transcriptional modulation of the intestinal cholesterol transporter NPC1L1 in the context of selected early-stage metabolic alterations under high-fat feeding. While direct extrapolation to humans remains limited, these results suggest potential translational relevance of T. lutea as a nutraceutical approach targeting early-stage metabolic dysregulation. Future studies will be required to determine the mechanistic contribution of individual bioactive components and to assess whether microbiota- and gene expression-associated changes play a causal role in mediating the observed metabolic outcomes, thereby informing the rational development of T. lutea-derived interventions. Full article

There is accumulating evidence that distinct mitochondrial DNA (mtDNA) methylation and hydroxymethylation patterns exist in Parkinson’s disease (PD). However, most studies have been limited to the investigation of specific target regions, rather than the entire mtDNA, and have been further hindered by other methodological discrepancies and the lack of non-CpG context investigation. Here, we provide a comprehensive profile of methylation and hydroxymethylation levels across the mitochondrial genome, at global and single-base resolution, in CpG and non-CpG (CHG, CHH) contexts in blood samples from early-onset PD (EOPD) patients (n = 39) and age- and sex-matched controls (n = 63). Bisulfite (BS) and oxidative-bisulfite (oxBS) conversions in parallel workflows followed by next-generation sequencing (NGS) using Illumina’s Novaseq 6000 sequencing system identified mitochondrial 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) in all contexts. Global mtDNA methylation was significantly higher in EOPD patients vs. matched controls in the CpG context (p = 5.63 × 10⁻³) in the BS status, and in all contexts [CpG (p = 2.67 × 10⁻⁴), CHG (p = 0.015), CHH (p = 0.012)] in the oxBS status, i.e., “true methylation”. At single-base resolution, the most statistically significant sites across the mitogenome, in the D-loop region, and CpG context, were primarily hypomethylated in EOPD patients compared to matched controls. Upon further validation, both global and base resolution mtDNA (hydroxy)methylation results could act as blood-based biomarkers for EOPD. Full article

Lactation is a dynamic process characterised by a production peak at 6–8 weeks, followed by a steady decline. To understand the molecular drivers of these phases and the influence of production systems, this study aims to provide a transcriptomic characterisation of bovine milk somatic cells (BMSCs) in Holstein (HO), Simmental (SM), Simmental × Holstein crossbreed (SM × HO), and Podolica (POD) cows at 60 and 120 days in milk (DIM). Total RNA was sequenced at high coverage, and differential expression and functional enrichment analyses were performed. While a core set of milk protein and fatty acid genes was identified, breed-specific analysis showed SM × HO had the highest variation (677 differentially expressed genes, DEGs). Genes upregulated at 120 DIM involved mitochondrial metabolism and oxidative phosphorylation, while downregulated genes were associated with nuclear transcriptional regulation. At 60 DIM, SM × HO vs. HO showed 66 DEGs, with upregulated genes linked to chromatin remodelling and immune regulation. Comparing production systems, 28 DEGs between POD and HO/SM highlighted differences in mitochondrial activity and transcriptional regulation. This study bridges a knowledge gap by profiling the milk transcriptome of unexplored cattle breeds, providing novel insights into the molecular regulation of lactation. Full article

Background/Objectives: In metastatic colorectal cancer (mCRC) the evaluation of mismatch repair (MMR) and microsatellite instability (MSI) status is essential to identify patients eligible for treatment with immune-checkpoint inhibitors (ICI). This study aims to evaluate the potential utility of Comprehensive Genomic Profiling (CGP) in assessing MSI status, in addition to other immunotherapy-predictive biomarkers such as high tumor molecular burden (TMB) and the POLE and POLD1 mutations. Methods: A total of 138 mCRC tumor samples underwent a first-level molecular test (MMR status by immunohistochemistry, MSI by a melting-based PCR approach and RAS/BRAF mutational status by a small next-generation sequencing (NGS) panel) and second-level CGP analysis by the FoundationOne CDx assay. The prevalence of dMMR and MSI tumors was reported. Moreover, the concordance between the MMR and MSI status was determined, and discordant cases were discussed. Results: Twelve cases (8.7%) were MMR-deficient (dMMR); 10 showed high MSI and TMB (>10 mut/Mb). MSI status assessed by CGP and PCR was concordant in all cases except one MSH6-deficient tumor. Two dMMR cases were stable with low TMB. Moreover, in two MLH1/PMS2-deficient cases CGP revealed pathogenic alterations in the MSH2 and MSH6 genes; in both cases, the MLH1 promoter was hypermethylated. A high TMB was the only positive biomarker in 11 cases with a proficient MMR system and no MSI. Conclusions: MSI assessment by CGP analysis showed high concordance (98%) with MMR and was helpful in evaluating ICI eligibility in three out of twelve dMMR cases. Overall, compared to standard methods, analyzing a broader range of microsatellite loci and the simultaneous assessment of multiple predictive biomarkers by CGP may increase diagnostic accuracy and improve therapeutic assessment. Full article

Chondrosarcoma (ChS) is a rare bone malignancy with heterogeneous behavior, the molecular and immunological background of which remains unknown. No effective systemic treatment for advanced ChS patients is available. The aim of this study was to develop an immune–mutational classification of ChS and to search for novel prognostic factors and molecular targets. We performed an immunological–molecular profiling of 99 patients diagnosed with primary ChS G1–G3 and dedifferentiated ChS. An expression of 20 immune response markers was assessed by IHC and targeted the next-generation sequencing of 409 genes was performed. Immunological and mutational profiles were correlated with overall survival using a multivariate LASSO-penalized Cox model. Three immunophenotypes were described—“cold” (IMP1), “hot” (IMP2), and “intermediate” (IMP3). IMP1 was the most prevalent in G1 cases, while IMP2 was the most prevalent in dedifferentiated cases. IDH1/2 or TP53 mutations were associated with high-grade ChS (FDR < 0.05). IMP2 was characterized by a higher number of immune infiltrates in the central region of the tumor (HR:3.3; CI:1.13–9.8; p < 0.05). IDH1 mutations were present most often in IMP2 cases (HR:3.8; CI:1.75–8.1; p < 0.001). Tumor size, dedifferentiated subtype, IDH1 mutation and the presence of IMP2 were identified as independent negative prognostic survival factors in ChS. An immune–mutational classification system for ChS patients was proposed, which may be used to identify those potentially suited for immunotherapy combined with IDH-mutant inhibitors in future research. Full article

Introduction: Hypervirulent Klebsiella pneumoniae (hvKp) is an emerging global pathogen that causes severe liver abscesses and metastatic infections. Despite rising concerns regarding multidrug-resistant convergence, molecular data in Romania remain limited. This study characterizes the epidemiological, clinical, and genomic profiles of hvKp liver abscesses in a tertiary hospital, aiming to describe the local virulence landscape and inform clinical management. Results: This study characterizes 15 cases of hvKp liver abscesses in a tertiary hospital. The cohort was predominantly male, with high rates of type 2 diabetes. Although clinical presentation was severe, featuring complications like endogenous endophthalmitis, the outcomes following prolonged antibiotic therapy were generally favorable. Phenotypically, 93.3% of isolates retained a wild-type susceptible profile, while a single ESBL-positive case highlighted the risk of resistance convergence. Genomic sequencing confirmed the presence of the ST23-K1 pandemic lineage carrying key virulence determinants (rmpA, iuc, and peg-344). Crucially, cgMLST analysis revealed genetic heterogeneity, suggesting sporadic community acquisition rather than a clonal nosocomial outbreak. Conclusions: These findings represent the first detailed molecular description of hvKp in Romania, confirming the local circulation of high-risk ST23 clones and underscoring the necessity for early detection and surveillance. Full article

Our current understanding of snake venom is highly biased towards species known to be medically significant in human envenomations. This vastly under-represents the true evolutionary and ecological breadth of snake venom, with gaps spanning entire clades and unique lifestyles. As a result, many genera of rear-fanged snakes lack well-understood venom profiles despite these taxa composing around 65% of known extant snake species. Methodological challenges associated with venom extraction have long been a key reason responsible for the lack of venom research on this group. Modern advancements in venomics technologies have allowed researchers to overcome many of these challenges and investigate the venom components of understudied genera. The genus Coniophanes (black-striped snakes) presents an ideal system for investigating venom and the venom delivery system in a rear-fanged venomous species with well-documented accounts of human envenomations. We sequenced and annotated de novo transcriptomes of the Duvernoy’s gland (DVG) for seven individuals across four species of Coniophanes (Dipsadidae) and confirmed toxin expression in representative venom proteomes. We assessed interspecific venom variation within this genus and further examined intraspecific venom variation within C. imperialis. We found that toxins account for 38.8% to 66% of the total DVG transcriptomes and that 18 toxin families are represented in this genus, with prominent expression of cystine-rich secretory proteins (CRiSPs) in three species and snake venom metalloproteinases (SVMPs) in all four species. In addition, we used diffusible iodine-based contrast-enhanced computed tomography (diceCT) to better understand the venom delivery system for C. fissidens, a widespread species within this genus, showcasing enlarged, grooved, rear fangs in close proximity to a prominent DVG. We provide the first ever characterization of the venom profiles of Coniophanes, highlight venom variation between and within species, and outline the venom delivery system of this understudied genus. Full article

Fibrosis is a hallmark of the tumor microenvironment in many solid cancers, driving tumor progression, immune evasion, and treatment resistance; however, the molecular and cellular mechanisms underlying fibrogenesis—particularly stromal–immune crosstalk across organs—remain incompletely understood, compounded by organ-specific heterogeneity and a lack of reliable immune-related biomarkers. To address this, we performed an integrative single-cell RNA sequencing (scRNA-seq) analysis of fibrotic tissues from four major organs—liver, lung, heart, and kidney—alongside non-fibrotic controls, applying unsupervised clustering, trajectory inference, cell–cell communication modeling, and gene set variation analysis (GSVA) to map the fibro-immune landscape. Our analysis revealed both conserved and organ-specific features: fibroblasts were the dominant extracellular matrix (ECM)-producing cells in liver and lung, whereas endothelial-derived stromal populations prevailed in heart and kidney. Immune profiling uncovered distinct infiltration patterns—macrophages displayed organ-specific polarization states; T cells were enriched for tissue-resident subsets in lung and mucosal-associated invariant T (MAIT) cells in liver; and B cells exhibited marked heterogeneity, including a pathogenic interferon-responsive subset prominent in pulmonary fibrosis. GSVA further identified divergent signaling programs across organs and lineages, including TGF-β/TNF-α in the heart, NOTCH/mTOR in the kidney, glycolysis/ROS in the lung, and KRAS/interferon pathways in the liver. Cell–cell communication analysis highlighted robust crosstalk between macrophages, T/B cells, and stromal cells mediated by collagen, laminin, and CXCL signaling axes. Together, this cross-organ atlas delineates a highly heterogeneous fibro-immune ecosystem in human fibrotic diseases, revealing shared mechanisms alongside organ-specific regulatory networks, with immediate translational implications for precision anti-fibrotic therapy, immunomodulatory drug repurposing, and the development of context-specific biomarkers for clinical stratification and therapeutic monitoring. Full article

Endometriosis-associated ovarian cancer comprises a special group of ovarian cancers that most probably originate from endometriosis foci. Several in vitro studies have shown that microRNA (miRNA) plays an important role in this carcinogenesis. Our goal was to establish if a distinct miRNA profile can be associated with endometriosis and endometriosis-associated ovarian cancer with their potential causal relationship, and whether such a profile could be used clinically to prognose carcinogenesis in endometriosis foci. We conducted a systematic search according to PRISMA guidelines, registered at PROSPERO (number CRD42021245606). The search encompassed whole Pubmed, Cochrane and Medline databases to 1 May 2025 and the search strategy included the following [MeSH] terms: ‘miRNAs’ or ‘microRNAs’ or ‘miR’ and ‘ovarian cancer’ and ‘endometriosis’. Our ultimate inclusion criterion was that studies must simultaneously evaluate miRNA expression in endometriosis, regardless of its form and stage, and in endometriosis-associated ovarian cancer (EAOC), as only data generated under identical experimental conditions and using the same controls are truly comparable. The quality of the data was assessed using The Newcastle-Ottawa scale (NOS) and ROBINS-I tool. Our final analysis included 13 studies, comprising 608 patients and over 1000 miRNA molecules. Among those only five manuscripts presented raw data for each miRNA studied. Although several authors declared high sensitivity and specificity for one or more miRNA in distinguishing between endometriosis and endometriosis-associated ovarian cancer, a meta-analysis could not be performed due to the high heterogeneity of the studied samples. We concluded that there is not enough publicly available raw data to establish a set of miRNAs capable of differentiating between the two diseases and of prognosing carcinogenesis. The greatest limitation lies in the use of various standardized reference gene sets, which makes it impossible to compare relative miRNA expression across studies. New data from the next generation sequencing (NGS) experiments would overcome issues related to reference and control genes. Full article

(1) Background: Meyerozyma guilliermondii is a yeast species widely distributed in the natural environment and one of the rare emerging pathogens capable of causing difficult to treat, severe infections. The species’ susceptibility profile is not fully defined; however, the species could be more prone to develop resistance than other Candida species. The objective of this research was to determine the susceptibility of a local collection of Meyerozyma guilliermondii clinical isolates to classical antifungal drugs as well as a new one—manogepix. (2) Methods: The study included 20 clinical isolates identified using the MALDI–TOF method followed with sequencing of ITS1-2 region of DNA. Overall, the susceptibility to 12 antifungal drugs was tested. Nine drugs (amphotericin B, flucytosine, fluconazole, itraconazole, posaconazole, voriconazole, anidulafungin, caspofungin, and micafungin) were assessed using the MICRONAUT–AT test. The susceptibility to the new drug, manogepix, as well as isavuconazole, clotrimazole and anidulafungin, was determined using the microdilution method recommended by EUCAST. Additionally, anidulafungin and voriconazole MIC was also examined with commercial gradient tests. (3) Results: Overall, the isolates showed low MIC values for amphotericin B (0.125 to 1 mg/L) and for flucytosine (≤0.06 to 32 mg/L), with the exception of one isolate with a high MIC value. The MIC ranges for azoles were 2–64 mg/L (fluconazole), 0.008–0.5 mg/L (voriconazole), ≤0.03–≥4 mg/L (itraconazole) and 0.008–0.5 mg/L (posaconazole). One isolate showed non-WT phenotype to all tested azoles. For anidulafungin, the MIC values ranged from ≤0.06 to 0.25 mg/L; however, in the reference method, higher values were observed, but they did not exceed 2 mg/L (ECOFF value). For manogepix, the MIC values ranged from 0.002 to 0.125 mg/L. Finally, the comparison of the obtained and published susceptibility data was conducted. (4) Conclusions: The data obtained in this study are consistent with reports by other authors and indicate that resistance to azoles or 5-fluorocytosine among clinical isolates of Meyerozyma guilliermondii should be considered. The low MIC values of manogepix suggest the potentially good efficacy of this drug against Meyerozyma guilliermondii species. Full article

Microbial bioprospecting in contaminated environments is a promising strategy for identifying biosurfactant-producing bacteria; however, translating environmentally adapted strains into predictable cultivation processes remains challenging. In this study, a microbial consortium subjected to long-term evolutionary laboratory adaptation in oily sludge was investigated to evaluate strain-specific phenotypic responses related to biosurfactant production. Phylogenetic analysis based on 16S rDNA sequencing identified three taxonomically distant isolates: Faucicola sp. strain BS5C, Pseudomonas sp. strain BS16B, and Enterobacter sp. BS14MR. Biosurfactant production was evaluated using a sequential Design of Experiments (DOE) approach, including fractional factorial and central composite rotatable designs, with the emulsification index (E24) used as a semi-quantitative response variable. Initial screening revealed a statistically significant negative effect (p < 0.10) of high dextrose concentrations for all isolates. Strain-specific differences in model adequacy were observed, with a statistically adequate quadratic model obtained for Pseudomonas sp. BS16B (R² = 0.8658, p = 0.0225), whereas the other isolates showed significant lack of fit (p < 0.05). ATR-FTIR analysis revealed spectral profiles consistent with lipopeptide-like compounds. Overall, these results indicate that isolates derived from the same long-term adapted system may differ substantially in process predictability, suggesting that productivity-based screening alone may be insufficient for selecting robust strains. Full article

Background: Calcified aortic valve disease (CAVD) is a prevalent valvular disorder in the elderly and a major cause of aortic stenosis. Surgical and transcatheter aortic valve replacement remain the primary treatments for advanced CAVD; however, effective pharmacological therapies to prevent or slow disease progression are lacking. Therefore, there is an urgent need to explore potential novel candidate biomarkers and therapeutic targets. Methods: In this study, transcriptomic data from multiple independent datasets were integrated to comprehensively characterize the transcriptional profile of CAVD. Feature genes were identified using complementary machine learning approaches, followed by functional pathway enrichment and protein–protein interaction (PPI) network analyses to uncover novel candidate genes associated with CAVD. Single-cell RNA sequencing (sc-RNA-Seq) data were further analyzed using pseudotime trajectory analysis to explore transcriptional dynamics during valve interstitial cells’ (VICs) osteogenic progression. Quantitative PCR and Western blot analyses of human calcified aortic valve tissues were used for validation. Results: A total of 119 CAVD-associated genes were identified, primarily involved in ossification, extracellular matrix organization, and cell–substrate adhesion. Among these, the ossification-associated genes BAMBI, HAND2, and MYOC exhibited potential discriminatory power between CAVD and control samples, with notable downregulation in calcified valves. Pseudotime analysis showed that the expression of these genes gradually decreased along the transcriptional trajectory associated with osteogenic differentiation. In addition, the analysis of relative immune signatures revealed negative correlations between these genes and multiple immune signatures. Conclusions: This study identifies novel candidate genes underlying CAVD pathogenesis and highlights BAMBI, HAND2, and MYOC as potential biomarkers and therapeutic targets, providing new insights into disease mechanisms and opportunities for novel interventions. Full article

Malaria in pregnancy remains a major driver of poor maternal and neonatal health outcomes in sub-Saharan Africa. For decades, intermittent preventive treatment in pregnancy (IPTp), with sulphadoxine-pyrimethamine (SP), has mitigated malaria-associated health risks, but concerns have been raised regarding accumulated Plasmodium falciparum dihydrofolate reductase (dhfr) and dihydropteroate synthase (dhps) mutations on the efficacy of SP. Western Kenya, including Busia County, is a high malaria transmission setting where molecular surveillance of dhfr and dhps mutations remains limited. This study assessed the prevalence and haplotype structure of dhfr and dhps mutations in P. falciparum isolates from Busia County, Kenya. A total of 66 samples of P. falciparum isolates collected from patients attending Matayos Sub-County Hospital between November 2024 and January 2025 were analysed. PCR amplification and Sanger sequencing targeted dhfr codons C50R, N51I, C59R, S108N/T, I164L, and dhps codons I431V, S436A/F, A437G, K540E, A581G, and A613S/T to determine mutation frequencies, haplotypes, and combined dhps and dhfr haplotype profiles. High frequencies of dhfr and dhps mutations were observed across the parasite isolates. The most common dhfr substitutions included N51I (85.2%) and C59R (75.4%), while S108N (32.8%) and S108T (19.7%) were detected at lower frequencies. Dhfr haplotypes identified included N51I + C59R, N51I + C59R + S108N, and a N51I + C59R + S108T + I164L variant. The I164L mutation was detected at a frequency of 18.0% and was observed exclusively on a non-canonical S108T background (19.7%). Dhps haplotypes were dominated by A437G (92.3%), K540E (40%) alone, and the A437G + K540E double mutant. Combined dhfr and dhps haplotype analyses revealed circulation of classical dhfr triple-mutant (N51I + C59R + S108N) backgrounds with dhps A437G. Quintuple haplotypes (dhfr N51I + C59R + S108T + I164L with dhps A437G) and rare complex haplotypes incorporating both I164L and K540E or I164L and S436F were also detected. These findings indicate the persistence and circulation of both canonical and non-canonical dhfr and dhps haplotypes in P. falciparum isolates from Busia County. This study highlights the need for continuous molecular and phenotypic surveillance to clarify the functional and epidemiological significance of parasites carrying S108T and I164L mutations, and to inform IPT policy. Full article

Background: Household food insecurity (HFI) adversely affects child development by restricting caloric intake, dietary diversity, and food quality. Since diet is a key factor influencing the gut microbiome, HFI may negatively impact health by altering microbial communities. However, direct evidence linking HFI to changes in the gut microbiome is limited. Therefore, we investigated the effects of HFI as a composite variable and used individual HFI assessment questions as specific proxies for dietary deprivation on the gut microbiome in a group of Ethiopian schoolchildren. Methods: Fecal samples were collected from 57 school-aged children in Ethiopia, and microbial profiles were established using 16S rRNA amplicon paired-end sequencing. Food insecurity was assessed using the Household Food Insecurity Access Scale (HFIAS). Results: We observed no significant differences in alpha diversity across food security status (Wilcoxon p > 0.05). However, beta diversity analysis revealed a significant shift in microbiome composition between food-secure and food-insecure individuals (Bray–Curtis dissimilarity; PERMANOVA, p < 0.05). Further analyses of individual HFIAS questions as specific proxies for dietary deprivation showed that limited dietary variety, consumption of disliked foods, and reduced meal size were each associated with significant changes in microbial compositions (PERMANOVA; all q < 0.05). Differential abundance analyses consistently identified Sutterella as significantly more abundant among food-insecure participants (composite model q = 0.11; component-specific models q < 0.05). Additionally, a microbial feature-based machine learning model accurately predicted food security status (AUC = 0.81), with Sutterella emerging as the top predictive feature. Conclusions: Our findings suggest that food insecurity metrics are associated with alterations in gut microbial composition. The consistent enrichment of Sutterella in food-insecure children in this study suggests the need for future mechanistic studies to explore its role in mediating the effects of food insecurity. Full article

Agave triangularis Jacobi is an ornamental agave species that represents a valuable genetic resource for enhancing resistance and tolerance in cultivated agaves such as A. tequilana and A. H11648. In this study, we performed the first de novo transcriptome assembly of A. triangularis using Illumina sequencing. A total of 131,321 transcripts were assembled, comprising 119,764,849 bp. Functional annotation revealed a close evolutionary relationship between A. triangularis and Asparagus officinalis, supporting its phylogenetic placement within the Asparagaceae family. We further identified five SRO genes in both A. triangularis and A. H11648. Their expression profiles in A. H11648, analyzed by qRT-PCR, suggested involvement in leaf development. Notably, AhSRO2 and AhSRO3 were significantly up-regulated following oomycete infection, while AhSRO3 was markedly induced under low-temperature stress. These findings highlight AhSRO2 and AhSRO3 as promising candidate genes for further functional investigation. This study provides the first reference transcriptome for A. triangularis, offering a valuable resource for gene discovery and comparative evolutionary studies in agave. The expression patterns of SRO genes establish a framework for understanding their potential roles in leaf development and stress responses, supporting future efforts toward genetic improvement in agave species. Full article