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The black aspergilli (Aspergillus niger complex) and their role in human, animal, and plant diseases.

SUMMARYThe Aspergillus niger complex, also known as the black aspergilli or section Nigri, comprises a diverse group of filamentous fungi with wide-ranging ecological, industrial, and pathogenic significance. While traditionally associated with food spoilage and industrial fermentation, black aspergilli have emerged as opportunistic pathogens affecting humans, animals, and plants. This review provides a comprehensive synthesis of the taxonomy, ecology, pathogenicity, and antifungal resistance of the A. niger complex. Advances in phylogenetics and whole-genome sequencing have clarified the taxonomy of section Nigri, now comprising six core species in series Nigri. Clinically, A. niger complex is implicated in various conditions, including otomycosis, keratitis, cutaneous infections, onychomycosis, chronic pulmonary aspergillosis, and, less commonly, invasive aspergillosis. In animals, black aspergilli have been isolated from respiratory, cutaneous, and systemic infections, particularly in immunocompromised or stressed hosts. Plant pathogenicity is significant, with A. niger complex contributing to pre- and post-harvest spoilage and producing mycotoxins such as ochratoxin A and oxalic acid. The common finding of elevated minimum inhibitory concentrations (MICs) to triazoles, particularly in both environmental and clinical isolates, raises concern, with underlying mechanisms differing from those characterized in A. fumigatus. Reduced susceptibility is potentially driven by efflux pumps and environmental exposure to azole fungicides. Due to commonly higher MICs, antifungal therapy with itraconazole and isavuconazole may have reduced efficacy, and alternatives such as voriconazole or posaconazole should be considered, guided by susceptibility testing where available. This review emphasizes the need for a One Health approach to managing black aspergilli, integrating surveillance, diagnostics, and targeted interventions across human, veterinary, and agricultural sectors.

Humans

Characterization of microbial dark matter at scale with MetaSBT and taxonomy-aware Sequence Bloom Trees.

Metagenomics has become a powerful tool for studying microbial communities, allowing researchers to investigate microbial diversity within complex environmental samples. Recent advances in sequencing technology have enabled the recovery of near-complete microbial genomes directly from metagenomic samples, also known as metagenome-assembled genomes (MAGs). However, accurately characterizing these genomes remains a significant challenge due to the presence of sequencing errors, incomplete assembly, and contamination. Here we present MetaSBT, a new tool for organizing, indexing, and characterizing microbial reference genomes and MAGs. It is able to identify clusters of genomes at all seven taxonomic levels, from the kingdom all the way down to the species level, using the Sequence Bloom Tree (SBT) data structure that relies on Bloom Filters (BFs) to index massive amounts of genomes based on their k-mers composition. We have built an initial set of databases composed of over 190 thousand viral genomes from NCBI GenBank and public sources grouped into sequence consistent clusters at different taxonomic levels, making it the first software solution for the classification of viruses at different ranks, including still unknown ones. This results in the definition of over 40 thousand species clusters where ~80% do not match with any known viral species in reference databases to date. Furthermore, we show how our databases can be used as a new basis for existing quantitative metagenomic profilers to unlock the detection of unknown microbes and the estimation of their abundance in metagenomic samples. Finally, the framework is released open-source and, along with its public databases, is fully integrated into the Galaxy Platform enabling broad accessibility.

metagenome-assembled genomes

Phylogenomics of Desulfuromonadia supports reclassification of Geobacter psychrophilus as Irobacter psychrophilus comb. nov. and proposal of Geosyntrophus gen. nov.

Genome-resolved phylogenomics reveals widespread misclassification of metal-reducing bacteria historically assigned to Geobacter based on 16S rRNA gene phylogeny, and highlights species that persist only as 16S rRNA entries without genomes for robust taxonomic resolution. Here, we resolve two such lineages by integrating whole-genome phylogeny with average amino acid identity (AAI) and percentage of conserved proteins (POCP) across 418 dereplicated genomes of Desulfuromonadia. We report a draft genome of the psychrophilic iron-reducing bacterium Geobacter psychrophilus (100% completeness). Phylogenomic analyses place both Geobacter psychrophilus and the GTDB placeholder genus g__JACRCG01 within the family 'Pseudopelobacteraceae', outside Geobacteraceae sensu stricto. Within this framework, G. psychrophilus forms a distinct, well-supported lineage separated from neighbouring genera by discontinuities in AAI and POCP, supporting its reclassification as Irobacter psychrophilus comb. nov. Additionally, we show that Geosyntrophus acetoxidans, a non-axenic syntrophic bacterium, forms a coherent genus with 51 other environmental genomes (placeholder genus g__JACRCG01), for which we propose the replacement name Geosyntrophus gen. nov. Comparative genome analysis revealed conserved family-level metabolic traits together with genus-specific differences in respiratory metabolism, while ANI-based clustering identified substantial species-level diversity within both proposed genera. Metagenome and 16S rRNA-gene survey data further show that Geosyntrophus and Irobacter occur in broadly similar aquatic and subsurface habitats spanning from the Arctic to the Antarctic. Together, these results resolve the taxonomy of two previously ambiguous Desulfuromonadales lineages and shed light on their environmental distribution.

AAI

RAS signaling in lung adenocarcinoma is defined by lineage context and DUSP4 loss.

BACKGROUNDThe molecular landscape of lung adenocarcinoma (LUAD) is often illustrated as a driver-oncogene pie chart, but identical mutations exhibit heterogeneous signaling shaped by comutations, transcriptional programs, and lineage context. We propose a lineage-integrated signaling framework using an EGFR mutation signature (mSig).METHODSWe defined EGFR mSig using differentially expressed genes in EGFR-mutant (EGFR-mt) LUADs. Semisupervised clustering and machine learning models were used to test reproducibility in different combinations of datasets. We analyzed molecular subtypes, lineage markers, co-occurring mutations, and EGFR copy number alterations in EGFR mSig-defined subtypes of LUAD.RESULTSEGFR mSig showed robust classification performance (area under receiver operating characteristic curve = 0.83-0.95; mean negative predictive value = 96.3%). Validated gene expression subtypes and lung lineage markers were closely aligned with EGFR mSig status. Most EGFR mSig+ tumors, including many without EGFR mutations, belonged to the bronchioid subtype. A subset of canonical RAS mutations were mSig+ and mirrored the EGFR mutation pattern. EGFR WT/mSig- tumors were enriched for nonbronchioid subtypes and had comutations in TP53 or RAS/RAF/RTKs. We highlight a parsimonious collection of coordinated mutations, including RAS, KEAP1, STK11, TP53, and CDKN2A, that taken together suggest coordination of tumor signaling previously suggested but now reproduced and expanded.CONCLUSIONA potentially novel EGFR mSig that captures the transcriptional footprint of EGFR activation revealed a subset of EGFR WT LUADs with mt-like features. mSig refines LUAD taxonomy beyond mutation-only pie-chart models by incorporating lineage and comutation context. Lineage-directed stratification with coalteration identifies clinically relevant groups across EGFR and RAS states and highlights treatment opportunities for patients currently considered oncogene-negative.FUNDINGNational Cancer Institute (NCI) U01CA272541, R01CA262296, U24CA264021, UG1CA233333, R01CA211939.

Humans

Metagenomics indicates new taxa in Candidatus Saccharimonadia and proposal of Parviradicicola hetaonensis gen. nov. sp. nov. and Parviputeicola dengkouensis gen. nov. sp. nov. following the rules of the SeqCode.

Candidatus Saccharimonadia is a core lineage within the phylum Patescibacteriota (formerly the bacterial candidate phyla radiation, CPR), yet the class has long lacked a standardized, complete taxonomic framework. This nomenclatural gap severely hinders consistent academic exchange and global research into its diversity, evolutionary history, and ecological roles. Here, we recovered 29 medium- to high-quality Ca. Saccharimonadia metagenome-assembled genomes (MAGs) from groundwater, rhizosphere soil, and saline-alkali soil in the Hetao Irrigation District, Inner Mongolia, China, and performed integrated phylogenomic, genome size evolution, and metabolic analyses alongside reference genomes from the GTDB r220 database. Based on robust polyphasic taxonomic evidence (multi-dimensional phylogenetic analyses, widely accepted genome-wide ANI/AAI thresholds) and SeqCode rules, we formally propose two novel taxa: Parviradicicola hetaonensis gen. nov., sp. nov. (type material: txb011_bin.8.strictTS) and Parviputeicola dengkouensis gen. nov., sp. nov. (type material: sgl022_bin.19.origTS), plus two novel families and one novel order. We further identified potential drivers and important associations related to Ca. Saccharimonadia genome size evolution and adaptive metabolic traits. This work refines the Ca. Saccharimonadia taxonomic framework, providing critical genomic references for follow-up research.

Phylogeny

Cucurbit Leaf Crumple Virus: An Important Pathogen of Cucurbit and Snap Bean Crops.

TAXONOMY: Cucurbit leaf crumple virus (CuLCrV); Begomovirus cucurbitae; Geminiviridae; Geplafuvirales. GEOGRAPHICAL DISTRIBUTION: The presence of CuLCrV is exclusively limited to North America, mainly Mexico and the United States. PHYSICAL PROPERTIES: CuLCrV is a bipartite begomovirus comprising two circular single-stranded DNA molecules (DNA-A and DNA-B), encapsidated within geminate icosahedral particles. GENOME AND ORGANIZATION: CuLCrV possesses a bipartite genome of DNA-A (2632 nucleotides) and DNA-B (2600 nucleotides). DNA-A contains five open reading frames (ORFs): AV1 (coat protein), AC1 (replication-associated protein), AC2 (transcriptional activator protein), AC3 (replication enhancer protein) and AC4. DNA-B contains two ORFs: BV1 (nuclear shuttle protein) and BC1 (movement protein). TRANSMISSION: CuLCrV is transmitted by the sweetpotato whitefly, Bemisia tabaci, in a persistent, circulative and non-propagative manner. HOSTS: CuLCrV primarily infects crop members of the Cucurbitaceae and snap bean (Phaseolus vulgaris, Fabaceae). Multiple weed species belonging to Brassicaceae, Convolvulaceae, Cucurbitaceae and Verbenaceae act as persistent virus reservoir hosts. SYMPTOMS: Symptom expression varies with host and infection timing. In cucurbits, infection induces leaf crumpling, thickening and downward curling of leaves, with green streaks and distortion of fruits. In snap bean, symptoms include leaf distortion, chlorosis and malformed pods. CONTROL: No commercial cultivars with resistance to CuLCrV are available for cucurbit crops, although some resistance has been reported in snap bean cultivars. Therefore, management relies primarily on integrated disease management.

Plant Diseases

Integrating genomic distance analyses in the description of a new family, genus, and species of sponge-associated antipatharians (black corals).

Antipatharians (black corals) are among the least studied coral groups, with much of their diversity still undescribed. Here, we present an integrative morphological, phylogenomic and genomic distance study of deep-sea antipatharians sampled in high seas areas of the North Pacific Ocean and from New Zealand's Exclusive Economic Zone. These corals grow on hexactinellid sponges - a unique characteristic in the order Antipatharia. Using a dataset of ultra-conserved elements and exons, combined with morphological analyses, we reconstruct phylogenomic relationships and formally describe a new family (Eidikopathidae fam. nov.), a new genus (Eidikopathesgen. nov.), and two new species (E. korallispongiasp. nov., E. zealandkoralliasp. nov.). Morphologically, the new family is distinguished by a corallum consisting of a network of loose branches that fuse with the sponge skeletal framework. Phylogenomic analyses recovered consistent topologies with strong nodal support, corroborating the distinct evolutionary placement of this sponge-associated lineage. Pairwise genomic distances estimated using the Tamura-Nei model were concordant with patristic genomic distances, identifying Pteridopathidae as the genetically closest family to Eidikopathidae fam. nov., followed by Myriopathidae and Stylopathidae, which were recovered as sister families in the phylogeny. This pattern shows that genomic distance complements, rather than simply mirrors, tree topology by quantifying accumulated sequence divergence among lineages. Together, these results provide the first genomic distance framework for Antipatharia, offering a baseline for future systematic, evolutionary, and biodiversity studies on this fundamental shallow, mesophotic and deep-sea coral group.

Animals