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Marine sponges host diverse and specialized microbial communities that serve essential functions in nutrient cycling, ecosystem stability, and biotechnological applications. This study investigates the diversity and composition of sponge-associated microbiomes from eight sponge species collected in Chuksan Harbor, South Korea, using full-length 16S rRNA sequencing and amplicon sequence variant (ASV)-based methods. Our results demonstrate that each sponge species harbors distinct and highly structured microbial communities. Proteobacteria, and especially Alpha- and Gammaproteobacteria, were generally dominant; however, unique dominance patterns, such as the near-exclusive presence of an uncharacterized Gammaproteobacterial lineage in Cliona celata, suggest strong host-symbiont specificity and possible coevolution. Notably, no ASVs were shared between seawater and sponge samples, confirming that sponge hosts select and maintain unique sets of microbial partners. In several Halichondria species, we detected the presence of Entotheonella, a symbiont with high biosynthetic gene cluster diversity that may contribute to host chemical defense and metabolic versatility. Depth-driven differences in microbial community composition were exemplified by Geodia reniformis, whose microbiome was dominated by deep-sea adapted and metabolically versatile lineages such as SAR202, PAUC34f, and Dadabacteriales. This study establishes a new baseline for understanding sponge-microbe partnerships in Korean marine environments. Our integrative, high-resolution approach not only uncovers remarkable taxonomic and functional diversity, but also provides a valuable genetic resource for future marine natural-product discovery and advances ecological restoration efforts.
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http://dx.doi.org/10.1038/s41598-025-16155-6 | DOI Listing |
Cell Physiol Biochem
September 2025
Department of Histology and Embryology and Vascular Biology Student Research Club, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, 85-092 Bydgoszcz, Poland, E-Mail:
Migrasomes are newly discovered, migration-dependent organelles that mediate the release of cellular contents into the extracellular environment through a process known as migracytosis. Since their identification in 2014, growing evidence has highlighted their critical roles in intercellular communication, organ development, mitochondrial quality control, and disease pathogenesis. Migrasome biogenesis is a complex, multi-step process tightly regulated by lipid composition, tetraspanin-enriched microdomains, and molecular pathways involving sphingomyelin synthase 2, Rab35, and integrins.
View Article and Find Full Text PDFNan Fang Yi Ke Da Xue Xue Bao
August 2025
Clinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
Objectives: To investigate the therapeutic effect of electroacupuncture (EA) at Zusanli (ST36) acupoint on hyperlipidemia in mice and explore the underlying mechanisms.
Methods: Thirty C57BL/6J mice were equally randomized into normal diet group, high-fat diet (HFD) group, and EA group. The changes in blood lipids and serum malondialdehyde (MDA) content of the mice were evaluated, and histopathological changes and lipid accumulation in the liver were observed using Oil red O staining (ORO).
J Chem Inf Model
September 2025
Faculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, 41 Dinh Tien Hoang, District 1, Ho Chi Minh City 700000, Vietnam.
Molecular property prediction has become essential in accelerating advancements in drug discovery and materials science. Graph Neural Networks have recently demonstrated remarkable success in molecular representation learning; however, their broader adoption is impeded by two significant challenges: (1) data scarcity and constrained model generalization due to the expensive and time-consuming task of acquiring labeled data and (2) inadequate initial node and edge features that fail to incorporate comprehensive chemical domain knowledge, notably orbital information. To address these limitations, we introduce a Knowledge-Guided Graph (KGG) framework employing self-supervised learning to pretrain models using orbital-level features in order to mitigate reliance on extensive labeled data sets.
View Article and Find Full Text PDFJ Hazard Mater
August 2025
State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of Environment, Nanjing University, Nanjing 210023, China. Electronic address:
Micropollutants are widespread in wastewater systems and can impact microbial communities and the transfer of antibiotic resistance genes (ARGs). Nevertheless, the specific concentration thresholds for these effects under environmental conditions remain largely unknown. This study evaluated six micropollutants at five environmentally relevant concentrations (0.
View Article and Find Full Text PDFPhytomedicine
August 2025
Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China. Electronic address:
Background: Traditional Chinese medicines (TCMs) have a long-standing history and diverse applications. However, their complex multi-component compositions and intricate mechanisms of action pose significant challenges for modern scientific investigation. Addressing these complexities requires advanced techniques capable of dissecting cellular and molecular interactions with high resolution.
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