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Marine microbial communities are facing various ecosystem fluctuations (e.g., temperature, organic matter concentration, salinity, or redox regimes) and thus have to be highly adaptive. This might be supported by the acquisition of auxiliary metabolic genes (AMGs) originating from virus infections. Marine bacteriophages frequently contain AMGs, which allow them to augment their host's metabolism or enhance virus fitness. These genes encode proteins for the same metabolic functions as their highly similar host homologs. In the present study, we analyzed the diversity, distribution, and composition of marine viruses, focusing on AMGs to identify their putative ecologic role. We analyzed viruses and assemblies of 212 publicly available metagenomes obtained from sediment and water samples across the Baltic Sea. In general, the virus composition in both compartments differed compositionally. While the predominant viral lifestyle was found to be lytic, lysogeny was more prevalent in sediments than in the pelagic samples. The highest proportion of AMGs was identified in the genomes of . Overall, the most abundantly occurring AMGs are encoded for functions that protect viruses from degradation by their hosts, such as methylases. Additionally, some detected AMGs are known to be involved in photosynthesis, 7-cyano-7-deazaguanine synthesis, and cobalamin biosynthesis among other functions. Several AMGs that were identified in this study were previously detected in a large-scale analysis including metagenomes from various origins, i.e., different marine sites, wastewater, and the human gut. This supports the theory of globally conserved core AMGs that are spread over virus genomes, regardless of host or environment.
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http://dx.doi.org/10.3389/fmicb.2022.863620 | DOI Listing |
Annu Rev Microbiol
September 2025
4Institut Pasteur, Université Paris Cité, CNRS UMR3525, Microbial Evolutionary Genomics, Paris, France.
Cyanobacteria played a pivotal role in shaping Earth's early history and today are key players in many ecosystems. As versatile and ubiquitous phototrophs, they are used as models for oxygenic photosynthesis, nitrogen fixation, circadian rhythms, symbiosis, and adaptations to harsh environments. Cyanobacterial genomes and metagenomes exhibit high levels of genomic diversity partly driven by gene flow within and across species.
View Article and Find Full Text PDFPhysiol Plant
September 2025
Department of Plant Physiology, Institute of Biology, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany.
Several genes in the mitochondria of angiosperms are interrupted by introns, and their posttranscriptional excision involves numerous nucleus-encoded auxiliary factors. Most of these factors are of eukaryotic origin, among them members of the pentatricopeptide-repeat (PPR) family of RNA-binding proteins. This family divides into the PLS and P classes, with PLS-class proteins typically participating in C-to-U mRNA editing and P-class members contributing to transcript stabilization and intron splicing.
View Article and Find Full Text PDFCurr Genet
September 2025
Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu-Tawi, 180001, India.
Trichoderma species exhibit remarkable versatility in adaptability and in occupying habitats with lifestyles ranging from mycoparasitism and saprotrophy to endophytism. In this study, we present the first high-quality whole-genome assembly and annotation of T. lixii using Illumina HiSeq technology to explore the mechanisms of endophytic lifestyle and plant colonization.
View Article and Find Full Text PDFEur J Neurosci
September 2025
Department of Anesthesiology and Pain Medicine, University of California Davis, Davis, California, USA.
Voltage-gated K channels of the Kv2 family coassemble with electrically silent KvS subunits in specific subpopulations of brain neurons, forming heteromeric Kv2/KvS channels with distinct functional properties. Little is known about the composition and function of Kv2 channels in spinal cord neurons, however. Here, we show that while Kv2.
View Article and Find Full Text PDFClin Chim Acta
September 2025
Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School, Kurashiki, Japan.
Background: In this study, we employed machine learning to develop a conversion method for comparing immunoreactive insulin (IRI) and C-peptide immunoreactivity (CPR), which are indicators of endogenous insulin secretion capacity, using a standardized approach.
Methods: This is a single-center retrospective observational study of 449 patients with type 2 diabetes (T2D) who were hospitalized at our hospital and 63 patients with T2D who were treated as outpatients, focusing on patients in whom IRI and CPR were measured simultaneously.
Results: The gradient boosting decision tree (GBDT) model constructed for hospitalized patients used seven features, including IRI, and showed an accuracy of R = 0.