Cell surface architecture of the cultivated DPANN archaeon Nanobdella aerobiophila.

The DPANN archaeal clade includes obligately ectosymbiotic species. Their cell surfaces potentially play an important role in the symbiotic interaction between the ectosymbionts and their hosts. However, little is known about the mechanism of ectosymbiosis. Here, we show cell surface structures of the cultivated DPANN archaeon Nanobdella aerobiophila strain MJ1T and its host Metallosphaera sedula strain MJ1HA, using a variety of electron microscopy techniques, i.e., negative-staining transmission electron microscopy, quick-freeze deep-etch TEM, and 3D electron tomography. The thickness, unit size, and lattice symmetry of the S-layer of strain MJ1T were different from those of the host archaeon strain MJ1HA. Genomic and transcriptomic analyses highlighted the most highly expressed MJ1T gene for a putative S-layer protein with multiple glycosylation sites and immunoglobulin-like folds, which has no sequence homology to known S-layer proteins. In addition, genes for putative pectin lyase- or lectin-like extracellular proteins, which are potentially involved in symbiotic interaction, were found in the MJ1T genome based on in silico 3D protein structure prediction. Live cell imaging at the optimum growth temperature of 65°C indicated that cell complexes of strains MJ1T and MJ1HA were motile, but sole MJ1T cells were not. Taken together, we propose a model of the symbiotic interaction and cell cycle of Nanobdella aerobiophila.IMPORTANCEDPANN archaea are widely distributed in a variety of natural and artificial environments and may play a considerable role in the microbial ecosystem. All of the cultivated DPANN archaea so far need host organisms for their growth, i.e., obligately ectosymbiotic. However, the mechanism of the ectosymbiosis by DPANN archaea is largely unknown. To this end, we performed a comprehensive analysis of the cultivated DPANN archaeon, Nanobdella aerobiophila, using electron microscopy, live cell imaging, transcriptomics, and genomics, including 3D protein structure prediction. Based on the results, we propose a reasonable model of the symbiotic interaction and cell cycle of Nanobdella aerobiophila, which will enhance our understanding of the enigmatic physiology and ecological significance of DPANN archaea.

Computational analysis of genes with lethal knockout phenotype and prediction of essential genes in archaea.

The identification of microbial genes essential for survival as those with lethal knockout phenotype (LKP) is a common strategy for functional interrogation of genomes. However, interpretation of the LKP is complicated because a substantial fraction of the genes with this phenotype remains poorly functionally characterized. Furthermore, many genes can exhibit LKP not because their products perform essential cellular functions but because their knockout activates the toxicity of other genes (conditionally essential genes). We analyzed the sets of LKP genes for two archaea, Methanococcus maripaludis and Sulfolobus islandicus, using a variety of computational approaches aiming to differentiate between essential and conditionally essential genes and to predict at least a general function for as many of the proteins encoded by these genes as possible. This analysis allowed us to predict the functions of several LKP genes including previously uncharacterized subunit of the GINS protein complex with an essential function in genome replication and of the KEOPS complex that is responsible for an essential tRNA modification as well as GRP protease implicated in protein quality control. Additionally, several novel antitoxins (conditionally essential genes) were predicted, and this prediction was experimentally validated by showing that the deletion of these genes together with the adjacent genes apparently encoding the cognate toxins caused no growth defect. We applied principal component analysis based on sequence and comparative genomic features showing that this approach can separate essential genes from conditionally essential ones and used it to predict essential genes in other archaeal genomes.IMPORTANCEOnly a relatively small fraction of the genes in any bacterium or archaeon is essential for survival as demonstrated by the lethal effect of their disruption. The identification of essential genes and their functions is crucial for understanding fundamental cell biology. However, many of the genes with a lethal knockout phenotype remain poorly functionally characterized, and furthermore, many genes can exhibit this phenotype not because their products perform essential cellular functions but because their knockout activates the toxicity of other genes. We applied state-of-the-art computational methods to predict the functions of a number of uncharacterized genes with the lethal knockout phenotype in two archaeal species and developed a computational approach to predict genes involved in essential functions. These findings advance the current understanding of key functionalities of archaeal cells.

RefSeq and the prokaryotic genome annotation pipeline in the age of metagenomes.

The Reference Sequence (RefSeq) project at the National Center for Biotechnology Information (NCBI) contains over 315 000 bacterial and archaeal genomes and 236 million proteins with up-to-date and consistent annotation. In the past 3 years, we have expanded the diversity of the RefSeq collection by including the best quality metagenome-assembled genomes (MAGs) submitted to INSDC (DDBJ, ENA and GenBank), while maintaining its quality by adding validation checks. Assemblies are now more stringently evaluated for contamination and for completeness of annotation prior to acceptance into RefSeq. MAGs now account for over 17000 assemblies in RefSeq, split over 165 orders and 362 families. Changes in the Prokaryotic Genome Annotation Pipeline (PGAP), which is used to annotate nearly all RefSeq assemblies include better detection of protein-coding genes. Nearly 83% of RefSeq proteins are now named by a curated Protein Family Model, a 4.7% increase in the past three years ago. In addition to literature citations, Enzyme Commission numbers, and gene symbols, Gene Ontology terms are now assigned to 48% of RefSeq proteins, allowing for easier multi-genome comparison. RefSeq is found at https://www.ncbi.nlm.nih.gov/refseq/. PGAP is available as a stand-alone tool able to produce GenBank-ready files at https://github.com/ncbi/pgap.

Exploring the Archaeal Virosphere by Metagenomics.

During the past decade, environmental research has demonstrated that archaea are abundant and widespread in nature and play important ecological roles at a global scale. Currently, however, the majority of archaeal lineages cannot be cultivated under laboratory conditions and are known exclusively or nearly exclusively through metagenomics. A similar trend extends to the archaeal virosphere, where isolated representatives are available for a handful of model archaeal virus-host systems. Viral metagenomics provides an alternative way to circumvent the limitations of culture-based virus discovery and offers insight into the diversity, distribution, and environmental impact of uncultured archaeal viruses. Presently, metagenomics approaches have been successfully applied to explore the viromes associated with various lineages of extremophilic and mesophilic archaea, including Asgard archaea (Asgardarchaeota), ANME-1 archaea (Methanophagales), thaumarchaea (Nitrososphaeria), altiarchaea (Altiarchaeota), and marine group II archaea (Poseidoniales). Here, we provide an overview of methods widely used in archaeal virus metagenomics, covering metavirome preparation, genome annotation, phylogenetic and phylogenomic analyses, and archaeal host assignment. We hope that this summary will contribute to further exploration and characterization of the enigmatic archaeal virome lurking in diverse environments.

On the origin of the nucleus: a hypothesis.

SUMMARYIn this hypothesis article, we explore the origin of the eukaryotic nucleus. In doing so, we first look afresh at the nature of this defining feature of the eukaryotic cell and its core functions-emphasizing the utility of seeing the eukaryotic nucleoplasm and cytoplasm as distinct regions of a common compartment. We then discuss recent progress in understanding the evolution of the eukaryotic cell from archaeal and bacterial ancestors, focusing on phylogenetic and experimental data which have revealed that many eukaryotic machines with nuclear activities have archaeal counterparts. In addition, we review the literature describing the cell biology of representatives of the TACK and Asgardarchaeaota - the closest known living archaeal relatives of eukaryotes. Finally, bringing these strands together, we propose a model for the archaeal origin of the nucleus that explains much of the current data, including predictions that can be used to put the model to the test.

Environment and taxonomy shape the genomic signature of prokaryotic extremophiles.

This study provides comprehensive quantitative evidence suggesting that adaptations to extreme temperatures and pH imprint a discernible environmental component in the genomic signature of microbial extremophiles. Both supervised and unsupervised machine learning algorithms were used to analyze genomic signatures, each computed as the k-mer frequency vector of a 500 kbp DNA fragment arbitrarily selected to represent a genome. Computational experiments classified/clustered genomic signatures extracted from a curated dataset of [Formula: see text] extremophile (temperature, pH) bacteria and archaea genomes, at multiple scales of analysis, [Formula: see text]. The supervised learning resulted in high accuracies for taxonomic classifications at [Formula: see text], and medium to medium-high accuracies for environment category classifications of the same datasets at [Formula: see text]. For [Formula: see text], our findings were largely consistent with amino acid compositional biases and codon usage patterns in coding regions, previously attributed to extreme environment adaptations. The unsupervised learning of unlabelled sequences identified several exemplars of hyperthermophilic organisms with large similarities in their genomic signatures, in spite of belonging to different domains in the Tree of Life.

A self-transmissible plasmid from a hyperthermophile that facilitates genetic modification of diverse Archaea.

Conjugative plasmids are self-transmissible mobile genetic elements that transfer DNA between host cells via type IV secretion systems (T4SS). While T4SS-mediated conjugation has been well-studied in bacteria, information is sparse in Archaea and known representatives exist only in the Sulfolobales order of Crenarchaeota. Here we present the first self-transmissible plasmid identified in a Euryarchaeon, Thermococcus sp. 33-3. The 103 kbp plasmid, pT33-3, is seen in CRISPR spacers throughout the Thermococcales order. We demonstrate that pT33-3 is a bona fide conjugative plasmid that requires cell-to-cell contact and is dependent on canonical, plasmid-encoded T4SS-like genes. Under laboratory conditions, pT33-3 transfers to various Thermococcales and transconjugants propagate at 100 °C. Using pT33-3, we developed a genetic toolkit that allows modification of phylogenetically diverse Archaeal genomes. We demonstrate pT33-3-mediated plasmid mobilization and subsequent targeted genome modification in previously untransformable Thermococcales species, and extend this process to interphylum transfer to a Crenarchaeon.

A compendium of bacterial and archaeal single-cell amplified genomes from oxygen deficient marine waters.

Oxygen-deficient marine waters referred to as oxygen minimum zones (OMZs) or anoxic marine zones (AMZs) are common oceanographic features. They host both cosmopolitan and endemic microorganisms adapted to low oxygen conditions. Microbial metabolic interactions within OMZs and AMZs drive coupled biogeochemical cycles resulting in nitrogen loss and climate active trace gas production and consumption. Global warming is causing oxygen-deficient waters to expand and intensify. Therefore, studies focused on microbial communities inhabiting oxygen-deficient regions are necessary to both monitor and model the impacts of climate change on marine ecosystem functions and services. Here we present a compendium of 5,129 single-cell amplified genomes (SAGs) from marine environments encompassing representative OMZ and AMZ geochemical profiles. Of these, 3,570 SAGs have been sequenced to different levels of completion, providing a strain-resolved perspective on the genomic content and potential metabolic interactions within OMZ and AMZ microbiomes. Hierarchical clustering confirmed that samples from similar oxygen concentrations and geographic regions also had analogous taxonomic compositions, providing a coherent framework for comparative community analysis.

Panguiarchaeum symbiosum, a potential hyperthermophilic symbiont in the TACK superphylum.

The biology of Korarchaeia remains elusive due to the lack of genome representatives. Here, we reconstruct 10 closely related metagenome-assembled genomes from hot spring habitats and place them into a single species, proposed herein as Panguiarchaeum symbiosum. Functional investigation suggests that Panguiarchaeum symbiosum is strictly anaerobic and grows exclusively in thermal habitats by fermenting peptides coupled with sulfide and hydrogen production to dispose of electrons. Due to its inability to biosynthesize archaeal membranes, amino acids, and purines, this species likely exists in a symbiotic lifestyle similar to DPANN archaea. Population metagenomics and metatranscriptomic analyses demonstrated that genes associated with amino acid/peptide uptake and cell attachment exhibited positive selection and were highly expressed, supporting the proposed proteolytic catabolism and symbiotic lifestyle. Our study sheds light on the metabolism, evolution, and potential symbiotic lifestyle of Panguiarchaeum symbiosum, which may be a unique host-dependent archaeon within the TACK superphylum.

uBin: A manual refining tool for genomes from metagenomes.

Resolving bacterial and archaeal genomes from metagenomes has revolutionized our understanding of Earth's biomes yet producing high-quality genomes from assembled fragments has been an ever-standing problem. While automated binning software and their combination produce prokaryotic bins in high throughput, their manual refinement has been slow, sometimes difficult or missing entirely facilitating error propagation in public databases. Here, we present uBin, a GUI-based, standalone bin refiner that runs on all major operating platforms and was additionally designed for educational purposes. When applied to the public CAMI dataset, refinement of bins using GC content, coverage and taxonomy was able to improve 78.9% of bins by decreasing their contamination. We also applied the bin refiner as a standalone binner to public metagenomes from the International Space Station and demonstrate the recovery of near-complete genomes, whose replication indices indicate the active proliferation of microbes in Earth's lower orbit. uBin is an easy to instal software for bin refinement, binning of simple metagenomes and communication of metagenomic results to other scientists and in classrooms. The software and its helper scripts are open source and available under https://github.com/ProbstLab/uBin.

DoriC 12.0: an updated database of replication origins in both complete and draft prokaryotic genomes.

DoriC was first launched in 2007 as a database of replication origins (oriCs) in bacterial genomes and has since been constantly updated to integrate the latest research progress in this field. The database was subsequently extended to include the oriCs in archaeal genomes as well as those in plasmids. This latest release, DoriC 12.0, includes the oriCs in both draft and complete prokaryotic genomes. At the same time, the number of oriCs in the database has also increased significantly and currently contains over 200 000 bacterial entries distributed in more than 40 phyla. Among them, a large number are from bacteria in new phyla whose oriCs were not explored before. Additionally, new oriC features and improvements have been introduced, especially in the visualization and analysis of oriCs. Currently, DoriC is considered as an important database in the fields of bioinformatics, microbial genomics, and even synthetic biology, providing a valuable resource as well as a comprehensive platform for the research on oriCs. DoriC 12.0 can be accessed at https://tubic.org/doric/ and http://tubic.tju.edu.cn/doric/.

The IMG/M data management and analysis system v.7: content updates and new features.

The Integrated Microbial Genomes & Microbiomes system (IMG/M: https://img.jgi.doe.gov/m/) at the Department of Energy (DOE) Joint Genome Institute (JGI) continues to provide support for users to perform comparative analysis of isolate and single cell genomes, metagenomes, and metatranscriptomes. In addition to datasets produced by the JGI, IMG v.7 also includes datasets imported from public sources such as NCBI Genbank, SRA, and the DOE National Microbiome Data Collaborative (NMDC), or submitted by external users. In the past couple years, we have continued our effort to help the user community by improving the annotation pipeline, upgrading the contents with new reference database versions, and adding new analysis functionalities such as advanced scaffold search, Average Nucleotide Identity (ANI) for high-quality metagenome bins, new cassette search, improved gene neighborhood display, and improvements to metatranscriptome data display and analysis. We also extended the collaboration and integration efforts with other DOE-funded projects such as NMDC and DOE Biology Knowledgebase (KBase).

Form and function of archaeal genomes.

A key maxim in modernist architecture is that 'form follows function'. While modernist buildings are hopefully the product of intelligent design, the architectures of chromosomes have been sculpted by the forces of evolution over many thousands of generations. In the following, I will describe recent advances in our understanding of chromosome architecture in the archaeal domain of life. Although much remains to be learned about the mechanistic details of archaeal chromosome organization, some general principles have emerged. At the 10-100 kb level, archaeal chromosomes have a conserved local organization reminiscent of bacterial genomes. In contrast, lineage-specific innovations appear to have imposed distinct large-scale architectural features. The ultimate functions of genomes are to store and to express genetic information. Gene expression profiles have been shown to influence chromosome architecture, thus their form follows function. However, local changes to chromosome conformation can also influence gene expression and therefore, in these instances, function follows form.

Detection and Quantitation of DNA Damage on a Genome-wide Scale Using RADAR-seq.

The formation and persistence of DNA damage can impact biological processes such as DNA replication and transcription. To maintain genome stability and integrity, organisms rely on robust DNA damage repair pathways. Techniques to detect and locate DNA damage sites across a genome enable an understanding of the consequences of DNA damage as well as how damage is repaired, which can have key diagnostic and therapeutic implications. Importantly, advancements in technology have enabled the development of high-throughput sequencing-based DNA damage detection methods. These methods require DNA enrichment or amplification steps that limit the ability to quantitate the DNA damage sites. Further, each of these methods is typically tailored to detect only a specific type of damage. RAre DAmage and Repair (RADAR) sequencing is a DNA sequencing workflow that overcomes these limitations and enables detection and quantitation of DNA damage sites in any organism on a genome-wide scale. RADAR-seq works by replacing DNA damage sites with a patch of modified bases that can be directly detected by Pacific Biosciences Single-Molecule Real Time sequencing. Here, we present three protocols that enable detection of thymine dimers and ribonucleotides in bacterial and archaeal genomes. Basic Protocol 1 enables construction of a reference genome required for RADAR-seq analyses. Basic Protocol 2 describes how to locate, quantitate, and compare thymine dimer levels in Escherichia coli exposed to varying amounts of UV light. Basic Protocol 3 describes how to locate, quantitate, and compare ribonucleotide levels in wild-type and ΔRNaseH2 Thermococcus kodakarensis. Importantly, all three protocols provide in-depth steps for data analysis. Together they serve as proof-of-principle experiments that will allow users to adapt the protocols to locate and quantitate a wide variety of DNA damage sites in any organism. © 2022 New England Biolabs. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Constructing a reference genome utilizing SMRT sequencing Basic Protocol 2: Mapping and quantitating genomic thymine dimer formation in untreated versus UV-irradiated E. coli using RADAR-seq Basic Protocol 3: Mapping and quantitating genomic ribonucleotide incorporation in wildtype versus ΔRNaseH2 T. kodakarensis using RADAR-seq.

Archaea: A Goldmine for Molecular Biologists and Evolutionists.

The rebuttal of the prokaryote-eukaryote dichotomy and the elaboration of the three domains concept by Carl Woese and colleagues has been a breakthrough in biology. With the methodologies available at this time, they have shown that a single molecule, the 16S ribosomal RNA, could reveal the global organization of the living world. Later on, mining archaeal genomes led to major discoveries in archaeal molecular biology, providing a third model for comparative molecular biology. These analyses revealed the strong eukaryal flavor of the basic molecular fabric of Archaea and support rooting the universal tree between Bacteria and Arcarya (the clade grouping Archaea and Eukarya). However, in contradiction with this conclusion, it remains to understand why the archaeal and bacterial mobilomes are so similar and so different from the eukaryal one. These last years, the number of recognized archaea lineages (phyla?) has exploded. The archaeal nomenclature is now in turmoil and debates about the nature of the last universal common ancestor, the last archaeal common ancestor, and the topology of the tree of life are still going on. Interestingly, the expansion of the archaeal eukaryome, especially in the Asgard archaea, has provided new opportunities to study eukaryogenesis. In recent years, the application to Archaea of the new methodologies described in the various chapters of this book have opened exciting avenues to study the molecular biology and the physiology of these fascinating microorganisms.

ChIP-Seq Occupancy Mapping of the Archaeal Transcription Machinery.

Genome-wide occupancy studies for RNA polymerases and their basal transcription factors deliver information about transcription dynamics and the recruitment of transcription elongation and termination factors in eukaryotes and prokaryotes. The primary method to determine genome-wide occupancies is chromatin immunoprecipitation combined with deep sequencing (ChIP-seq). Archaea possess a transcription machinery that is evolutionarily closer related to its eukaryotic counterpart but it operates in a prokaryotic cellular context. Studies on archaeal transcription brought insight into the evolution of transcription machineries and the universality of transcription mechanisms. Because of the limited resolution of ChIP-seq, the close spacing of promoters and transcription units found in archaeal genomes pose a challenge for ChIP-seq and the ensuing data analysis. The extreme growth temperature of many established archaeal model organisms necessitates further adaptations. This chapter describes a version of ChIP-seq adapted for the basal transcription machinery of thermophilic archaea and some modifications to the data analysis.

Progress and Challenges in Studying the Ecophysiology of Archaea.

It has been less than two decades since the study of archaeal ecophysiology has become unshackled from the limitations of cultivation and amplicon sequencing through the advent of metagenomics. As a primer to the guide on producing archaeal genomes from metagenomes, we briefly summarize here how different meta'omics, imaging, and wet lab methods have contributed to progress in understanding the ecophysiology of Archaea. We then peer into the history of how our knowledge on two particularly important lineages was assembled: the anaerobic methane and alkane oxidizers, encountered primarily among Euryarchaeota, and the nanosized, mainly parasitic, members of the DPANN superphylum.

Reconstruction of Archaeal Genomes from Short-Read Metagenomes.

As the majority of biological diversity remains unexplored and uncultured, investigating it requires culture-independent approaches. Archaea in particular suffer from a multitude of issues that make their culturing problematic, from them being frequently members of the rare biosphere, to low growth rates, to them thriving under very specific and often extreme environmental and community conditions that are difficult to replicate. OMICs techniques are state of the art approaches that allow direct high-throughput investigations of environmental samples at all levels from nucleic acids to proteins, lipids, and secondary metabolites. Metagenomics, as the foundation for other OMICs techniques, facilitates the identification and functional characterization of the microbial community members and can be combined with other methods to provide insights into the microbial activities, both on the RNA and protein levels. In this chapter, we provide a step-by-step workflow for the recovery of archaeal genomes from metagenomes, starting from raw short-read sequences. This workflow can be applied to recover bacterial genomes as well.

Detecting DNA Methylations in the Hyperthermoacidophilic Crenarchaeon Sulfolobus acidocaldarius Using SMRT Sequencing.

DNA methylations are one of the most well-known epigenetic modifications along with histone modifications and noncoding RNAs. They are found at specific sites along the DNA in all domains of life, with 5-mC and 6-mA/4-mC being well-characterized in eukaryotes and bacteria respectively, and they have not only been described as contributing to the structure of the double helix itself but also as regulators of DNA-based processes such as replication, transcription, and recombination. Different methods have been developed to accurately identify and/or map methylated motifs to decipher the involvement of DNA methylations in regulatory networks that affect the cellular state.Although DNA methylations have been detected along archaeal genomes, their involvement as regulators of DNA-based processes remains the least known. To highlight the importance of DNA methylations in the control of key cellular mechanisms and their dynamics in archaea cells, we have used single-molecule real-time (SMRT) sequencing. This sequencing technology allows the identification and direct mapping of the methylated motifs along the genome of an organism. In this chapter, we present a step-by-step protocol for detecting DNA methylations in the hyperthermophilic crenarchaeon Sulfolobus acidocaldarius using SMRT sequencing. This protocol can easily be adapted to other prokaryotes.