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PubMed2026

Reference-Guided Chromosome-Scale Genome Assembly With Insights on Population Genomics of the Atlantic Goliath Grouper (Epinephelus itajara), Islas del Rosario, Colombia.

Epinephelus itajara, commonly known as the Atlantic Goliath grouper, is the largest species among the western North Atlantic groupers and is critically endangered. This species plays a crucial ecological, cultural, and economic role and has been the focus of captive breeding efforts at the Oceanario of the Rosario Islands, Colombia. However, despite its ecological and conservation importance, genomic resources and population genomic data for E. itajara remain scarce, particularly in the Colombian Caribbean. This study presents a reference-guided chromosome-scale genome assembly and an analysis of the population genomic structure of E. itajara using PacBio HiFi sequencing and Illumina technologies. The assembled genome has a total size of 1.12 Gb, with a contig N50 of 42.69 Mb and a scaffold N50 of 46.30 Mb. A total of 22,692 protein-coding genes were identified after masking 46% of the genome, which consists of repetitive elements. Comparative genomic analyses revealed a high degree of collinearity with closely related Epinephelus species and identified E. lanceolatus as the closest relative, supporting recent divergence and conserved genome architecture within the genus. Additionally, a population genomics analysis was conducted using 7706 high-quality SNPs to assess the genomic structure of captive populations. The results revealed four distinct genomic lineages, with moderate genetic differentiation among the sampled individuals. In the Colombian Caribbean, two unique lineages were identified, associated with the localities of Bahía Cispatá and Bahía Barbacoas, suggesting possible geographic isolation. These genomic resources provide valuable tools and new opportunities to better understand the genomic diversity, evolutionary history, and reproductive mechanisms of E. itajara. Moreover, they serve as a foundation for conservation strategies, including selective breeding programs aimed at increasing genomic diversity in captive populations and guiding restoration efforts in its natural habitat.

Epinephelus itajara↗
PubMed2026

A Chromosome-Level Genome Assembly of the Potato Leafhopper Empoasca fabae (Hemiptera: Cicadellidae).

The potato leafhopper, Empoasca fabae (Harris, 1841), is a highly polyphagous, migratory insect pest of eastern North America that feeds on more than 200 herbaceous and woody plant species, causing substantial losses to forage and field crops. Despite its agricultural and ecological importance, no genome has been available for this species. Here, we present the first chromosome-level genome assembly of E. fabae, generated from Oxford Nanopore long reads, Illumina short reads, and Omni-C proximity-ligation data. The final assembly spans 908 Mb across 132 scaffolds, with 99.8% of the assembly captured in ten chromosome-length scaffolds (nine autosomes and an X chromosome) with a scaffold N50 of 96.2 Mb. The assembly is highly complete, recovering 92.9% of conserved hemipteran single-copy orthologs from protein annotations, and is composed of 47.6% repetitive sequence, dominated by long terminal repeat retrotransposons and unclassified elements. Read-depth comparison between male and female individuals supports assignment of a single sex-linked chromosome, consistent with an XO sex determination system. BRAKER3 gene annotation predicted 31,406 protein-coding genes after retaining the longest isoform per locus. Comparative genome analysis of the two closest related Typhlocybinae species with genomes available, Matsumurasca onukii and Hebata decipiens, revealed extensive chromosome-scale collinearity while defining a shared core gene repertoire. This reference genome provides a foundation for comparative and population genomic studies and for investigating genetic traits in this economically important crop pest species.

Animals↗
PubMed2026

Contrasting redox-related physiological responses associated with HaGATA23 and HaGATA36 during Orobanche cumana parasitism in sunflower (Helianthus annuus L.).

Helianthus annuus is an economically important Asteraceae species used for seed oil production and ornamental purposes, but its production is seriously affected by the root-parasitic plant Orobanche cumana. GATA transcription factors are zinc-finger DNA-binding regulators involved in plant development and stress adaptation. However, the molecular characteristics of GATA transcription factors in Helianthus annuus and their contribution to Helianthus annuus -Orobanche cumana interaction remain poorly understood. Here, 36 HaGATA members were retrieved from the Helianthus annuus genome and classified into four phylogenetic clades. Chromosomal placement, collinearity, gene structure, motif composition, and promoter elements varied among the 36 HaGATA members, indicating evolutionary conservation coupled with functional diversification. Expression analysis and RT-qPCR analyses revealed differential expression patterns among HaGATA genes under O. cumana stress, with HaGATA23 markedly downregulated and HaGATA36 strongly upregulated. Overexpression of HaGATA23 was associated with increased malondialdehyde (MDA) accumulation and unfavorable changes in antioxidant enzyme activities, whereas its silencing showed the opposite physiological tendency. In contrast, overexpression of HaGATA36 reduced malondialdehyde accumulation, increased peroxidase (POD), catalase (CAT), and superoxide dismutase (SOD) activities, while its silencing showed the reverse tendency. These results indicate that HaGATA23 and HaGATA36 are candidate genes associated with contrasting redox-related physiological responses during O. cumana stress. This work provides evidence that GATA transcription factors are associated with redox-related physiological responses in sunflower under O. cumana treatment and identifies HaGATA23 and HaGATA36 as functionally divergent candidate genes for further validation.

Helianthus↗
PubMed2026

Genome-Wide Characterization of the Apple HD-Zip IV Gene Family and Functional Validation of MdHDZIV3 Under PEG-Induced Osmotic Stress.

The homeodomain-leucine zipper IV (HD-Zip IV) transcription factor subfamily plays essential roles in epidermal development, cuticle formation, lipid metabolism, and environmental adaptation in plants. Despite its biological importance, the HD-Zip IV family has not been systematically characterized in apple (Malus domestica). Here, we identified 17 apple HD-Zip IV genes and named them MdHDZIV1-MdHDZIV17 based on their locations on the chromosomes. The 17 genes showed a nonuniform distribution on eight chromosomes, while the occurrence of both tandem and segmental duplications indicated that family expansion involved more than one duplication mechanism. All MdHDZIV proteins contained the conserved HD, LZ, START, and SAD domains but lacked the MEKHLA domain, consistent with typical HD-Zip IV structural features. Phylogenetic analysis classified MdHDZIV proteins into five groups together with HD-Zip IV members from Arabidopsis thaliana and rice, indicating evolutionary conservation of this subfamily. Collinearity and Ka/Ks analyses revealed that duplicated MdHDZIV gene pairs were mainly subjected to purifying selection. Promoter scanning revealed diverse cis-regulatory motifs associated with hormonal signaling, environmental stress, light response, and epidermal regulation, including ABRE, ARE, W-box, MYC, G-box, and L1-box motifs. Integration of transcriptomic profiling with qRT-PCR validation revealed pronounced tissue-dependent differences in the expression of MdHDZIV genes in leaf, fruit skin, and branch bark. Under PEG6000-induced osmotic stress and NaCl-induced salt stress, 10 candidate MdHDZIV genes displayed gene-specific and stress type-specific expression patterns, with MdHDZIV3 showing strong induction under PEG6000 treatment. Functional validation in apple calli showed that MdHDZIV3 overexpression enhanced PEG tolerance, increased fresh weight, elevated SOD and POD activities, and reduced MDA accumulation under osmotic stress. These findings provide a genome-wide framework for understanding the apple HD-Zip IV gene family.

abiotic stress↗
PubMed2026

Strong phylogenetic signal from chloroplast genomes of three Barringtonia species provides the first genomic resources for their conservation.

BACKGROUND: The genus Barringtonia (Lecythidaceae) is a vital component of tropical coastal forests and mangrove ecosystems. Among its members, B. racemosa and B. fusicarpa are classified as Endangered and Vulnerable, respectively, due to habitat degradation and anthropogenic pressures, underscoring the urgent need for genetic studies to guide conservation. Chloroplast (cp.) genomes serve as essential resources for phylogenetic reconstruction and conservation genetics. However, the scarcity of cp. genome data for Barringtonia has limited comprehensive evolutionary and conservation-oriented investigations. RESULTS: We assembled and annotated the first complete cp. genomes of B. racemosa, B. fusicarpa, and B. acutangula. All three genomes exhibit the typical quadripartite structure, ranging from 158,959 bp (B. racemosa) to 159,837 bp (B. acutangula), and contain 132 genes (87 protein-coding, 37 tRNA, 8 rRNA) with a GC content of 36.68%-36.86%. Collinearity and IR boundary analyses revealed high structural conservation without large-scale rearrangements. Interspecific sequence-level variations were detected in simple sequence repeats (SSRs) and long repeats. Nucleotide diversity (π) analysis identified highly polymorphic regions, including rpl20 (π = 0.080), rpoA (π = 0.064), rps3 (π = 0.063), and ndhF (π = 0.060), which represent promising molecular markers for population genetics within the genus. Codon-based selection analyses (Ka/Ks) showed that all protein-coding genes are under strong purifying selection (mean Ka/Ks 0.32-0.37), with no evidence of positive selection. Pairwise genetic distances (p-distances) among Barringtonia species are extremely low (mean 0.0046), while distances to the related genus Bertholletia are ~ 6-fold higher, supporting their generic distinction. CONCLUSIONS: Phylogenetic analysis robustly supports Barringtonia as a monophyletic clade (bootstrap = 100%), with B. racemosa and B. fusicarpa forming a sister lineage to B. acutangula. This study provides the first high-quality cp. genome resources for the two threatened Barringtonia species, revealing strong structural and sequence conservation but no direct chloroplast genomic correlates of endangerment. The identified polymorphic regions and repeat markers lay a foundation for future population genetics, phylogeographic studies, and conservation-oriented genetic management of these ecologically important coastal plants.

Genome, Chloroplast↗
PubMed2026

ZILA-SRM: a probabilistic framework with zero-inflated latent models for robust strain reconstruction from metagenomes.

UNLABELLED: Resolving bacterial strain diversity from shotgun metagenomic data is fundamental to understanding intra-host evolution, transmission dynamics, and phenotypic heterogeneity. However, current probabilistic approaches face a severe "identifiability limit" when disentangling highly similar genomes. Under high-noise conditions, sequencing errors, coverage overdispersion, and collinearity confound standard expectation-maximization algorithms, resulting in overfitting and spurious "ghost" strains. Here, we introduce zero-inflated latent allocation for strain reconstruction from metagenomes with adaptive sparsity regularization (ZILA-SRM) to overcome this barrier through three innovations. First, we integrate a zero-inflated Poisson mixture model to decouple "structural zeros" (true strain absence) from "sampling zeros" (stochastic dropout), addressing overdispersion in standard Poisson-based tools. Second, we impose a convex adaptive sparsity regularization penalty that leverages biological sparsity priors to shrink noise artifacts dynamically. Third, we implement a graph-theoretic refinement step using maximal clique enumeration to resolve haplotype collinearity. Benchmarking against StrainFinder and MixtureS on 702 synthetic data sets shows that ZILA-SRM achieves a 20% improvement in precision in high-complexity scenarios while maintaining over 80% recall for minor variants at 0.5% abundance. Re-analysis of deep-sequencing data from 195 Mycobacterium tuberculosis clinical samples reveals cryptic low-abundance drug-resistant variants in 12% of patients, including a minor clone carrying the rpoB S450L mutation. Furthermore, application to skin microbiome data sets further reveals a strong negative correlation between dominant Staphylococcus aureus and Staphylococcus epidermidis strains, providing genomic evidence for competitive exclusion. These findings establish ZILA-SRM as a robust tool for resolving strain-level diversity in complex metagenomes. IMPORTANCE: Understanding microbial communities at the strain level is critical because closely related strains can differ dramatically in traits such as drug resistance, virulence, and ecological interactions. However, resolving individual strains from metagenomic sequencing data remains difficult, especially when strains are highly similar or present at low abundance. As a result, biologically meaningful diversity is often obscured or misinterpreted as noise. In this study, we introduce a new framework that improves the reliability of strain reconstruction from complex metagenomic data. By reducing false-positive strain detection while preserving sensitivity to rare variants, our approach enables more accurate characterization of microbial populations. This improved resolution reveals previously hidden subpopulations in clinical and microbiome datasets, providing clearer insights into microbial evolution, competition, and the emergence of clinically relevant traits such as antibiotic resistance.

Metagenomics↗
PubMed2026

Genomic Insights Into the Probiotic and Safety Attributes of Pediococcus acidilactici BC-7 for its Potential Application in Livestock Health.

Pediococcus acidilactici is widely recognized for its health-beneficial aspects and has gained increasing interest for use in livestock industry. It shows strong probiotic efficacy, antimicrobial activity, cholesterol-lowering potential, immune modulation, and other therapeutic attributes. The novel strain from indigenous habitats mainly depicted potent probiotic efficacy and high adaptability. In this study, we evaluated the probiotic characteristics and genomic features of strain BC-7 obtained from a Nili - Ravi buffalo calf raised under domestic conditions using phenotypic assessment, genomic analysis and in vivo studies. The strain BC-7 exhibited key probiotic traits i.e., gut tolerance (70.43% - 97.5%), auto-aggregation (85.24%), co-aggregation (14.33% - 25.88%), hydrophobicity (78.33% - 88%), antioxidant potential (54%), and antibacterial activity (16.47-18 mm). The safety analysis revealed that BC-7 exhibited susceptibility and resistance to various antimicrobial agents and showed no β hemolytic activity. BC-7 was taxonomically classified as Pediococcus acidilactici by 16 S rRNA gene sequencing. Whole genome sequence (WGS) analysis showed that P. acidilactici BC-7 contains a 1.9 Mb genome with 42% GC content. Pediococccus acidilactici BC-7 harbored 1900 genes, which were mainly associated with metabolism and genetic processes. Based on genomic comparison, BC-7 shared 99% average nucleotide identity and strong genomic collinearity with P. acidilactici NARCC1 which is a TYPE strain having potent probiotic potential. Probiotic strain BC-7 shared 1,664 core genes with reference strains and 69 unique genes specific for metabolism and genetic processes. The BC-7 strain contained unique bacteriocins-associated genes and defense-related CAzymes, it harbors only vancomycin resistance genes and lacked true virulence determinants. In vivo trial showed that BC-7 treated mice showed increased growth rate, improved immune modulation, and membrane integrity. These significant findings revealed that BC-7 emerging as a potential probiotic strain with strong functionality and efficacy. Thus, our strain BC-7 could be used as a promising candidate for applications in the animal health industry.

Gastrointestinal tract↗
PubMed2026

Chromosome-Scale Genome of Zoonotic Eyeworm Thelazia callipaeda from China.

Thelazia callipaeda is a vector-borne zoonotic eyeworm infecting companion animals, wildlife, and humans, but chromosome-scale genomic resources from Chinese clinical material remain limited. We generated a genome supported by Pacific Biosciences (PacBio) high-fidelity (HiFi) sequencing and high-throughput chromosome conformation capture (Hi-C) from 100 adult worms recovered from naturally infected dogs in Beijing and compared its chromosome-scale organization with Portuguese assembly GCA_965194785.1. The final assembly spans 119.53 megabases (Mb) and comprises 115 top-level sequences, including four pseudomolecules totaling 91.26 Mb (76.34%) and 111 unanchored sequences. Genome-mode Benchmarking Universal Single-Copy Orthologs (BUSCO) analysis recovered 98.5% complete chromadorean orthologues, and the representative 11,788-protein gene set recovered 92.6%. Sequence-level alignment resolved Chinese chromosomes 1-4 (chr1-chr4) to Portuguese chr1, chrX, chr3, and chr2, respectively, with retained alignments covering 95.9-99.2% of each Chinese pseudomolecule and estimated sequence identities of 99.75-99.91%. Strong chromosome-scale collinearity was accompanied by localized reverse-collinear regions, including 0.243 Mb and 0.115 Mb intervals on chr2-chrX and chr3-chr3. The anchored sequences contained 96.7% of predicted genes and were substantially more gene-dense than the unanchored sequences. These results establish a clinically sourced Chinese chromosome-scale reference and provide a validated framework for future individual-worm, population-genomic, structural-variation, and comparative genomic studies of this parasite.

Hi-C↗
PubMed2026

First genomic insights into the introgression of almond PPV-Marcus resistance into peach.

AIM: Sharka, caused by Plum pox virus (PPV), is one of the most damaging viral diseases of stone fruit crops, with peach among the most susceptible cultivated Prunus species. Almond is a promising source of resistance, but its genetic architecture and expression in a peach genetic background remain largely unknown. This study aimed to construct parental genetic linkage maps and identify genomic regions associated with PPV response in almond × peach interspecific populations. METHODS: Progenies derived from the almond cultivars 'Del Cid', 'Garrigues', and 'Mono' were evaluated by RT-PCR after graft inoculation with the PPV-Marcus (PPV-M) strain over consecutive infection cycles. Phenotypic data were summarized for each genotype using best linear unbiased estimates (BLUEs). High-density SNP almond and peach arrays were used to construct parental maps for 'Garrigues' and 'Mono' and perform quantitative trait locus (QTL) analysis. RESULTS: Phenotypic variation was observed among and within families. 'Del Cid'-derived progenies showed the greatest resistance, 'Garrigues'-derived progenies displayed intermediate responses, and 'Mono'-derived progenies showed greater susceptibility and variability. The parental maps covered 546.69 cM in 'Mono' and 521.72 cM in 'Garrigues', with average intervals of 0.61 and 1.26 cM per unique marker position, respectively, and showed strong collinearity with the reference genome. QTL associated with PPV-M response were detected on linkage groups (LG) 1 and 6 in 'Garrigues' and LG2 in 'Mono'. The main QTL in 'Garrigues' peaked near 22.39 Mb on LG1, whereas the 'Mono' QTL was located at 22.27-22.62 Mb on LG2; a weaker QTL was detected near 25.38 Mb on LG6 in 'Garrigues'. The results support a quantitative and genetic-background-dependent architecture of PPV resistance. CONCLUSION: This study provides the first evidence of genomic regions associated with PPV-Marcus response in almond × peach populations. The detected QTLs provide an initial basis to support the introgression of almond-derived resistance into peach breeding material.

Prunus↗
PubMed2026

Assembly and comparative analysis of the mitochondrial genome of Pleione yunnanensis: genome structure and evolutionary insights.

BACKGROUND: Pleione yunnanensis a terrestrial or semi-epiphytic herbaceous plant belonging to the Orchidaceae family, is valued for both its medicinal uses and ornamental appeal. Although its chloroplast genomes have been sequenced, its complete mt genome had not previously been resolved, limiting genetic and evolutionary studies of the species. RESULTS: In this work, we assembled and characterized the first complete mt genome of P. yunnanensis, revealing a structurally complex, multibranched system composed of 14 circular-mapping molecules totaling 468,176 bp with a GC content of 44.32%. The genome encodes 44 annotated genes, including 28 protein-coding genes (PCGs), 15 tRNAs, and one rRNA. The multibranched architecture provides new evidence supporting the dynamic and recombinational nature of plant mt genomes. Repeat analysis uncovered 29 simple sequence repeats (SSRs), 19 tandem repeats, and 118 dispersed repeats, indicating a comparatively lower repeat abundance than that found in closely related orchids with similar mt genome sizes. Codon-usage profiling of PCGs showed a marked bias toward A/T-ending codons. Prediction of RNA editing sites identified 4,708 putative edits across mitochondrial PCGs. Most mitochondrial genes displayed Ka/Ks ratios close to 1.0, suggesting relaxed selective constraints or lineage-specific evolutionary patterns rather than strong positive selection. Moreover, we detected 69 chloroplast-derived homologous fragments, including 15 intact genes, suggesting ongoing plastid-mitochondrial DNA transfer. Phylogenetic reconstruction and collinearity comparisons demonstrated that P. yunnanensis clustered closely with Dendrobium species, including D. amplum and D. hancockii, within the Orchidaceae clade. CONCLUSIONS: This study provides the first complete mt genome of P. yunnanensis, providing a foundational genomic resource for the genus Pleione. The results not only improve our understanding of mt genome structure and evolution in Orchidaceae, but also offer valuable molecular evidence for phylogenetic inference, germplasm identification, and conservation of this endangered medicinal species.

Orchidaceae↗
PubMed2026

TL-HDMR: a transfer learning framework for advancing equitable causal inference reveals metabolic signatures of stroke across multiple ancestries.

The limited genetic diversity in genome-wide association studies (GWAS) poses a significant challenge to the generalizability and equity of biomedical discoveries. Most causal inferences, particularly from high-dimensional phenomes (e.g. metabolomics), are primarily based on European populations, and their applicability to other ancestries remains uncertain. Traditional multivariable Mendelian randomization (MVMR) methods further struggle in high-dimensional and correlated settings due to collinearity and model instability. To bridge this gap, we present a two-step transfer learning framework for high-dimensional MR (TL-HDMR), designed to enhance causal exposure detection in understudied populations. Our approach leverages the Minimax Concave Penalty for asymptotically unbiased estimation amidst exposure correlations. Crucially, we introduce two novel pre-transfer procedures-HDMR.TSD for sourcing beneficial data and HDMR.PRESSO for filtering pleiotropic instruments-to ensure robust knowledge transfer. Extensive simulations demonstrated TL-HDMR's superior performance in ROC curves and mean absolute error over alternative methods. When applied to identify causal metabolites for stroke across multi-ancestry cohorts (European, East Asian, South Asian, and African), TL-HDMR successfully pinpointed both shared and ethnic-specific causal biomarkers, showcasing its unique capability for equitable causal inference. This work provides a powerful statistical tool that not only addresses critical methodological challenges but also promotes inclusivity and fairness in human health research.

Humans↗