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At least 19 recordsLinked to original sources
PubMed2006

I am what I eat and I eat what I am: acquisition of bacterial genes by giant viruses.

Giant viruses are nucleocytoplasmic large DNA viruses (NCLDVs) that infect algae (phycodnaviruses) and amoebae (Mimivirus). We report an unexpected abundance in these giant viruses of islands of bacterial-type genes, including apparently intact prokaryotic mobile genetic elements, and hypothesize that NCLDV genomes undergo successive accretions of bacterial genes. The viruses could acquire bacterial genes within their bacteria-feeding eukaryotic hosts, and we suggest that such acquisition is driven by the intimate coupling of recombination and replication in NCLDVs.

Chromosome Mapping↗
PubMed2005

Giant viruses in the oceans: the 4th Algal Virus Workshop.

Giant double-stranded DNA viruses (such as record breaking Acanthamoeba polyphaga Mimivirus), with particle sizes of 0.2 to 0.6 microm, genomes of 300 kbp to 1.200 kbp, and commensurate complex gene contents, constitute an evolutionary mystery. They challenge the common vision of viruses, traditionally seen as highly streamlined genomes optimally fitted to the smallest possible--filterable--package. Such giant viruses are now discovered in increasing numbers through the systematic sampling of ocean waters as well as freshwater aquatic environments, where they play a significant role in controlling phyto- and bacterio- plankton populations. The 4th Algal Virus Workshop showed that the study of these ecologically important viruses is now massively entering the genomic era, promising a better understanding of their diversity and, hopefully, some insights on their origin and the evolutionary forces that shaped their genomes.

DNA Viruses↗
PubMed2026

Mycodnaviridae is a clade of giant viruses that persistently infect zoosporic fungi.

Giant viruses of the phylum Nucleocytoviricota have emerged as particularly notable due to their increasingly recognized impacts on eukaryotic genome evolution. Their origins are hypothesized to predate or coincide with the diversification of eukaryotes, and they have been detected in hosts that span the eukaryotic tree of life. But surprisingly, such viruses have not been definitively found in Kingdom Fungi, though earlier genomic and metagenomic work suggests putative associations. Here we report both "viral fossils" and active infection by giant viruses in fungi, particularly in the zoosporic phyla Blastocladiomycota and Chytridiomycota. The recovered viral assemblies span up to 350 kb, encode over 300 genes, and form a monophyletic family-level clade within the Nucleocytoviricota related to orders Imitervirales and Algavirales, which we name Mycodnaviridae. We observed variation in infection status among the isolates including apparent active infection and transcriptionally suppressed states, suggesting that viral activation may be constrained to certain life stages of the host. Our experimental findings add to the limited natural virus-host systems available in culture for the study of giant viruses and expand the known host range of Nucleocytoviricota into a new kingdom that contains many model species. Mycodnaviridae have a global distribution, which invites inquiry into the implications of these infections for host traits, host genome evolution, and the metabolic impacts on ecosystems.

Giant Viruses↗
PubMed2026

Refining a giant virus lineage: a novel order unifying Mamonoviridae and "Manesviridae," unveiled by the discovery of furtivovirus.

UNLABELLED: The evolutionary origins and taxonomic framework of giant viruses related to the family Mamonoviridae and its relative group, including clandestinovirus, remain unclassified due to gaps in genome size and host range between these two groups. This study aimed to address this gap by integrating our newly isolated virus with publicly available metagenome-assembled genomes (MAGs) to construct a more robust phylogenetic framework. Here, we report the isolation and characterization of a new giant virus, furtivovirus, using the unicellular amoeba Vermamoeba vermiformis as a host. Furtivovirus has a genome of approximately 560 kbp and shares key features with its closest relative, clandestinovirus. Ultrastructural analysis revealed a unique host-nucleus-dependent replication strategy characterized by the breakdown of the nuclear membrane and the packaging of nascent virions directly within the nucleoplasm, distinguishing it from canonical cytoplasmic virion factories. Comprehensive phylogenetic and comparative genomic analyses of shared orthologous groups and nucleocytovirus marker proteins revealed that furtivovirus, clandestinovirus, ushikuvirus, and usurpativirus form a distinct monophyletic clade, for which we propose a new family, "Manesviridae." Further analysis using amino acid-based similarity metrics of Nucleocytoviricota viral genomes, including established MAGs, demonstrated that this new family is robustly placed as a sister group to the family Mamonoviridae. This study elucidated the evolutionary relationships between viruses with large and small genomes that possess similar virion sizes within this lineage. Based on this cumulative evidence, we propose the establishment of a new order to unify these two families, thereby expanding their diversity and clarifying the evolutionary history of this branch within Nucleocytoviricota. IMPORTANCE: Giant viruses challenge our traditional understanding of viral evolution, raising the question of how a single related group can diverge to infect different hosts while evolving into vastly different genome sizes and replication strategies. The family Mamonoviridae and its relatives epitomize this evolutionary divergence: one group possesses massive genomes, whereas the other has genomes that are less than half their size. The discovery of furtivovirus and its unique nucleoplasm-dependent replication cycle provides a critical biological context for this genomic disparity. Through deep comparative genomic analysis, we demonstrated that these seemingly disparate lineages share a cohesive evolutionary origin that is distinct from other established orders. This finding highlights the complexity of genome evolution, demonstrating that giant viruses can expand their overall genome size to adapt to uncertain environments while reducing their core essential genes, thereby providing new insights into the evolutionary pressures that shape the diversity of the virosphere.

Giant Viruses↗
PubMed2006

Mimivirus and the emerging concept of "giant" virus.

The recently discovered Acanthamoeba polyphaga Mimivirus is the largest known DNA virus. Its particle size (750 nm), genome length (1.2 million bp) and large gene repertoire (911 protein coding genes) blur the established boundaries between viruses and parasitic cellular organisms. In addition, the analysis of its genome sequence identified many types of genes never before encountered in a virus, including aminoacyl-tRNA synthetases and other central components of the translation machinery previously thought to be the signature of cellular organisms. In this article, we examine how the finding of such a giant virus might durably influence the way we look at microbial biodiversity, and lead us to revise the classification of microbial domains and life forms. We propose to introduce the word "girus" to recognize the intermediate status of these giant DNA viruses, the genome complexity of which makes them closer to small parasitic prokaryotes than to regular viruses.

Acanthamoeba↗
PubMed2003

Human parainfluenza virus giant cell pneumonia following cord blood transplant associated with pulmonary alveolar proteinosis.

Giant cell pneumonia secondary to human parainfluenza virus 3 has been reported only rarely in immunocompromised hosts. The few cases documented after bone marrow transplant have resulted in significant morbidity and mortality. To our knowledge, this entity has not been described following umbilical cord blood transplant. Pulmonary alveolar proteinosis, a rare condition that has been reported with increasing frequency in association with immunocompromise and infections, has not been documented in the setting of either umbilical cord blood transplant or human parainfluenza viral infection. We report what we believe is the first documented case of giant cell pneumonia caused by human parainfluenza virus 3 in an umbilical cord blood transplant recipient. To our knowledge, a unique associated feature of this case, a pulmonary alveolar proteinosis-like reaction, has not been reported previously in association with human parainfluenza virus pneumonia.

Cord Blood Stem Cell Transplantation↗
PubMed2026

GiantHost: a domain-adaptive and uncertainty-aware framework for giant virus host prediction.

MOTIVATION: Nucleocytoplasmic large DNA viruses (NCLDVs) play crucial roles in global ecosystems. Although metagenomics has vastly accelerated the discovery of novel NCLDVs, predicting their hosts from fragmented contigs remains a critical bottleneck, with no dedicated end-to-end computational tools currently available. Addressing this gap requires overcoming three fundamental challenges: the extreme scarcity of labeled reference genomes, the severe domain shift between laboratory isolates and diverse environmental metagenomes, and the inability of traditional deterministic models to quantify prediction uncertainty-a crucial requirement for reliable ecological profiling where novel, divergent viruses are prevalent. RESULTS: We present GiantHost, the first NCLDV host prediction tool with domain adaptation and uncertainlty awareness. GiantHost employs a dual-tower neural network to integrate dense genome traits and sparse GVOG profiles, allowing better integration of heterogeneous features. To overcome label scarcity and domain shift, we leverage 1400 environmental viral genomes (GVMAGs) via semi-supervised multi-task learning and Domain Adversarial Neural Networks (DANN), effectively bridging the distributional gap between RefSeq and environmental data. Additionally, GiantHost incorporates Conformal Prediction (CP) to output statistically guaranteed prediction sets rather than overconfident single labels. Evaluated under rigorous genome-level cross-validation, GiantHost demonstrates robust predictive power. Applied to the Tara Ocean dataset, GiantHost successfully captured the vertical stratification of NCLDV hosts-revealing a depth-dependent decline of phytoplankton-infecting viruses and a relative enrichment of Amoebozoa-infecting viruses in the mesopelagic zone. AVAILABILITY: The source code of GiantHost is available via: https://github.com/FuchuanQu/GiantHost.

Giant Viruses↗
PubMed1978

Polyoma virus giant RNAs contain tandem repeats of the nucleotide sequence of the entire viral genome.

The bulk of late virus-specific RNA synthesized in polyoma virus-infected mouse cells is larger than a single strand of poloma DNA. The arrangement of viral nucleotide sequences in these giant polyoma RNAs was studied by electron microscopy of hybrids between purified high molecular weight viral RNA and the HindII-1 fragment of polyoma DNA, which contains 91% of the viral genome. Hybrid molecules containing a short single-stranded gap (corresponding to the 9% of viral sequences not present in HindII-1), flanked by double-stranded regions, were photographed and measured. The majority of hybrid molecules contained no single-stranded loops or branches, showing that all viral sequences are transcribed contiguously and that no nonviral sequences are present in the RNA. Hybrid molecules, containing RNA up to 3.5 times the genome length, had a repeating structure of single-stranded gaps 8% of genome length interspersed with double-stranded regions 89% of genome length, showing that giant polyoma RNAs contain tandem repeats of the nucleotide sequence of the entire viral DNA. A small proportion of hybrid molecules contained single-stranded branches or deletion loops in characteristic positions, indicating that RNA "splicing" may occur on high molecular weight nuclear polyoma RNA.

Cell Nucleus↗
PubMed2025

GiantHunter: accurate detection of giant virus in metagenomic data using reinforcement-learning and Monte Carlo tree search.

MOTIVATION: Nucleocytoplasmic large DNA viruses (NCLDVs) are notable for their large genomes and extensive gene repertoires, which contribute to their widespread environmental presence and critical roles in processes such as host metabolic reprogramming and nutrient cycling. Metagenomic sequencing has emerged as a powerful tool for uncovering novel NCLDVs in environmental samples. However, identifying NCLDV sequences in metagenomic data remains challenging due to their high genomic diversity, limited reference genomes, and shared regions with other microbes. Existing alignment-based and machine learning methods struggle with achieving optimal trade-offs between sensitivity and precision. RESULTS: In this work, we present GiantHunter, a reinforcement learning-based tool for identifying NCLDVs from metagenomic data. By employing a Monte Carlo tree search strategy, GiantHunter dynamically selects representative non-NCLDV sequences as the negative training data, enabling the model to establish a robust decision boundary. Benchmarking on rigorously designed experiments shows that GiantHunter achieves high precision while maintaining competitive sensitivity, improving the F1-score by 10% and reducing computational cost by 90% compared to the second-best method. To demonstrate its real-world utility, we applied GiantHunter to 60 metagenomic datasets collected from six cities along the Yangtze River, located both upstream and downstream of the Three Gorges Dam. The results reveal significant differences in NCLDV diversity correlated with proximity to the dam, likely influenced by reduced flow velocity caused by the dam. These findings highlight GiantHunter's potential to advance our understanding of NCLDVs and their ecological roles in diverse environments. AVAILABILITY AND IMPLEMENTATION: The source code of GiantHunter is available via: https://github.com/FuchuanQu/GiantHunter.

Metagenomics↗
PubMed1999

Giant viruses infecting algae.

Paramecium bursaria chlorella virus (PBCV-1) is the prototype of a family of large, icosahedral, plaque-forming, double-stranded-DNA-containing viruses that replicate in certain unicellular, eukaryotic chlorella-like green algae. DNA sequence analysis of its 330, 742-bp genome leads to the prediction that this phycodnavirus has 376 protein-encoding genes and 10 transfer RNA genes. The predicted gene products of approximately 40% of these genes resemble proteins of known function. The chlorella viruses have other features that distinguish them from most viruses, in addition to their large genome size. These features include the following: (a) The viruses encode multiple DNA methyltransferases and DNA site-specific endonucleases; (b) PBCV-1 encodes at least part, if not the entire machinery to glycosylate its proteins; (c) PBCV-1 has at least two types of introns--a self-splicing intron in a transcription factor-like gene and a splicesomal processed type of intron in its DNA polymerase gene. Unlike the chlorella viruses, large double-stranded-DNA-containing viruses that infect marine, filamentous brown algae have a circular genome and a lysogenic phase in their life cycle.

Biological Evolution↗
PubMed2026

Megamimivirus double-stranded DNA linear genomes flanked by highly diverse terminal inverted repeats.

UNLABELLED: Giant viruses have fundamentally expanded our understanding of virology by challenging the conventional boundaries of both virion size and genome complexity. However, the scarcity of isolates has left many of their unique biological features unexplored. Here, we report the isolation and characterization of four new giant virus species belonging to the subfamily Megamimivirinae, sampled from distinct environments across China. Among these, Megavirus daqingense is the first giant virus isolated from an oil reservoir; it exhibits virion stability under high salinity, chloroform exposure, and elevated temperatures, suggesting fitness adaptations to subsurface conditions. Using a hybrid sequencing approach that integrates short- and long-read technologies, we assembled complete linear genomes for all four isolates, each flanked by long terminal inverted repeats (TIRs). Comparative genomic and synteny analyses identified 29 distinct TIRs from 46 megamimivirus genomes. Gene content within these TIRs was highly diverse, with no orthologous proteins conserved across all repeats. Furthermore, TIR genes experienced weaker purifying selection than those in non-TIR regions (i.e., the genomic regions excluding the TIRs), consistent with their role as drivers of genome plasticity. Notably, we discovered for the first time that identical tRNA genes are shared between TIRs and non-TIR regions of eukaryotic viruses. Collectively, our work provides insights into the structural and evolutionary complexity of megamimiviruses, revealing TIRs as reservoirs of genetic diversity and hotspots for gene transfer, thereby playing a pivotal role in shaping the dynamic architecture of giant virus genomes. IMPORTANCE: Terminal inverted repeats (TIRs) are critical structural elements at the termini of linear genomes essential for fundamental processes such as recombination, replication, and integration across diverse organisms. However, the inherent limitations of short-read sequencing technologies have left the complete structure, diversity, and evolutionary significance of long TIRs in giant viruses unexplored. In this study, we leverage hybrid sequencing and comparative genomic analyses to unveil the complexity of TIRs across the subfamily Megamimivirinae. We demonstrate that TIRs are dynamic genomic hotspots characterized by remarkable gene diversity and unexpected conservation of specific tRNA genes. These findings establish TIRs as key drivers of genome plasticity, serving as hotspots for horizontal gene transfer and genetic innovation. By resolving the long-hidden terminal structures of megamimivirus genomes, this work provides a foundational framework for understanding how TIRs shape the evolution of giant viruses and, more broadly, advances our understanding of genome architecture in large DNA viruses.

Megavirus↗