Archaeal Genome Sequences Research Articles

Archaeal and Bacterial Metagenome-Assembled Genome Sequences Derived from Pig Feces.

ABSTRACTWe report the recovery of metagenome-assembled genomes (MAGs) from fecal samples collected in 2018 from five healthy adult female pigs in southeast England. The resulting nonredundant catalog of 192 MAGs encompasses 102 metagenomic species, 41 of them novel, spanning 10 bacterial and 2 archaeal phyla.

A computational screen for alternative genetic codes in over 250,000 genomes.

The genetic code has been proposed to be a 'frozen accident,' but the discovery of alternative genetic codes over the past four decades has shown that it can evolve to some degree. Since most examples were found anecdotally, it is difficult to draw general conclusions about the evolutionary trajectories of codon reassignment and why some codons are affected more frequently. To fill in the diversity of genetic codes, we developed Codetta, a computational method to predict the amino acid decoding of each codon from nucleotide sequence data. We surveyed the genetic code usage of over 250,000 bacterial and archaeal genome sequences in GenBank and discovered five new reassignments of arginine codons (AGG, CGA, and CGG), representing the first sense codon changes in bacteria. In a clade of uncultivated Bacilli, the reassignment of AGG to become the dominant methionine codon likely evolved by a change in the amino acid charging of an arginine tRNA. The reassignments of CGA and/or CGG were found in genomes with low GC content, an evolutionary force that likely helped drive these codons to low frequency and enable their reassignment.

Prokaryotic Genome Annotation.

In the last decade, the high-throughput and relatively low cost of short-read sequencing technologies have revolutionized prokaryotic genomics. This has led to an exponential increase in the number of bacterial and archaeal genome sequences available, as well as corresponding increase of genome assembly and annotation tools developed. Together, these hardware and software technologies have given scientists unprecedented options to study their chosen microbial systems without the need for large teams of bioinformaticists or supercomputing facilities. While these analysis tools largely fall into only a few categories, each may have different requirements, caveats and file formats, and some may be rarely updated or even abandoned. And so, despite the apparent ease in sequencing and analyzing a prokaryotic genome, it is no wonder that the budding genomicist may quickly find oneself overwhelmed. Here, we aim to provide the reader with an overview of genome annotation and its most important considerations, as well as an easy-to-follow protocol to get started with annotating a prokaryotic genome.

Evolutionary design principles in metabolism.

Microorganisms are ubiquitous and adapt to various dynamic environments to sustain growth. These adaptations accumulate, generating new traits forming the basis of evolution. Organisms adapt at various levels, such as gene regulation, signalling, protein-protein interactions and metabolism. Of these, metabolism forms the integral core of an organism for maintaining the growth and function of a cell. Therefore, studying adaptations in metabolic networks is crucial to understand the emergence of novel metabolic capabilities. Metabolic networks, composed of enzyme-catalysed reactions, exhibit certain repeating paradigms or design principles that arise out of different selection pressures. In this review, we discuss the design principles that are known to exist in metabolic networks, such as functional redundancy, modularity, flux coupling and exaptations. We elaborate on the studies that have helped gain insights highlighting the interplay of these design principles and adaptation. Further, we discuss how evolution plays a role in exploiting such paradigms to enhance the robustness of organisms. Looking forward, we predict that with the availability of ever-increasing numbers of bacterial, archaeal and eukaryotic genomic sequences, novel design principles will be identified, expanding our understanding of these paradigms shaped by varied evolutionary processes.

Relevance of phenotypic information for the taxonomy of not-yet-cultured microorganisms

To date, far less than 1% of the estimated global species of Bacteria and Archaea have been described and their names validly published. Aside from these quantitative limitations, our understanding of phenotypic and functional diversity of prokaryotes is also highly biased as not a single species has been described for 85 of the 118 phyla that are currently recognized. Due to recent advances in sequencing technology and capacity, metagenomic datasets accumulate at an increasing speed and new bacterial and archaeal genome sequences become available at a faster rate than newly described species. The growing gap between the diversity of Bacteria and Archaea held in pure culture and that detected by molecular methods has led to the proposal to establish a formal nomenclature for not-yet-cultured taxa primarily based on sequence information. According to this proposal, the concept of Candidatus species would be extended to groups of closely related genome sequences and their names validly published following established rules of bacterial nomenclature. The corresponding sequences would be deposited in public databases as the type. The suggested alterations of the International Code of Nomenclature of Prokaryotes raise concerns regarding (1) the reliability and stability of nomenclature, (2) the technological and conceptual limitations as well as availability of reference genomes, (3) the information content of in silico functional predictions, and (4) the recognition of evolutionary units of microbial diversity. These challenges need to be overcome to arrive at a meaningful taxonomy of not-yet-cultured prokaryotes with so far poorly understood phenotypes.

Exploring the (Almost) Unknown: Archaeal Two-Component Systems.

Two-component systems (TCS) exist in bacteria and archaea. In contrast to the knowledge of bacterial TCSs, little information is available on their archaeal counterparts. In the current issue of Journal of Bacteriology, Galperin and coworkers present a bioinformatics analysis of TCS genes from archaeal genome sequences (M. Y. Galperin, K. S. Makarova, Y. I. Wolf, and E. V. Koonin, J Bacteriol 200:e00681-17, 2018, https://doi.org/10.1128/JB.00681-17). This study identifies different aspects in which TCS-mediated signaling differs in bacteria and archaea and forms a sound basis for the experimental design of studies to increase our knowledge of this poorly investigated protein family.

Transfer RNA comes of age.

Transfer RNA comes of age.

Extending the conserved phylogenetic core of archaea disentangles the evolution of the third domain of life.

Initial studies of the archaeal phylogeny relied mainly on the analysis of the RNA component of the small subunit of the ribosome (SSU rRNA). The resulting phylogenies have provided interesting but partial information on the evolutionary history of the third domain of life because SSU rRNA sequences do not contain enough phylogenetic signal to resolve all nodes of the archaeal tree. Thus, many relationships, and especially the most ancient ones, remained elusive. Moreover, SSU rRNA phylogenies can be heavily biased by tree reconstruction artifacts. The sequencing of complete genomes allows using a variety of protein markers as an alternative to SSU rRNA. Taking advantage of the recent burst of archaeal complete genome sequences, we have carried out an in-depth phylogenomic analysis of this domain. We have identified 200 new protein families that, in addition to the ribosomal proteins and the subunits of the RNA polymerase, form a conserved phylogenetic core of archaeal genes. The accurate analysis of these markers combined with desaturation approaches shed new light on the evolutionary history of Archaea and reveals that several relationships recovered in recent analyses are likely the consequence of tree reconstruction artifacts. Among others, we resolve a number of important relationships, such as those among methanogens Class I, and we propose the definition of two new superclasses within the Euryarchaeota: Methanomada and Diaforarchaea.

Widespread occurrence of organelle genome-encoded 5S rRNAs including permuted molecules.

5S Ribosomal RNA (5S rRNA) is a universal component of ribosomes, and the corresponding gene is easily identified in archaeal, bacterial and nuclear genome sequences. However, organelle gene homologs (rrn5) appear to be absent from most mitochondrial and several chloroplast genomes. Here, we re-examine the distribution of organelle rrn5 by building mitochondrion- and plastid-specific covariance models (CMs) with which we screened organelle genome sequences. We not only recover all organelle rrn5 genes annotated in GenBank records, but also identify more than 50 previously unrecognized homologs in mitochondrial genomes of various stramenopiles, red algae, cryptomonads, malawimonads and apusozoans, and surprisingly, in the apicoplast (highly derived plastid) genomes of the coccidian pathogens Toxoplasma gondii and Eimeria tenella. Comparative modeling of RNA secondary structure reveals that mitochondrial 5S rRNAs from brown algae adopt a permuted triskelion shape that has not been seen elsewhere. Expression of the newly predicted rrn5 genes is confirmed experimentally in 10 instances, based on our own and published RNA-Seq data. This study establishes that particularly mitochondrial 5S rRNA has a much broader taxonomic distribution and a much larger structural variability than previously thought. The newly developed CMs will be made available via the Rfam database and the MFannot organelle genome annotator.

System analysis of synonymous codon usage biases in archaeal virus genomes

Recent studies of geothermally heated aquatic ecosystems have found widely divergent viruses with unusual morphotypes. Archaeal viruses isolated from these hot habitats usually have double-stranded DNA genomes, linear or circular, and can infect members of the Archaea domain. In this study, the synonymous codon usage bias (SCUB) and dinucleotide composition in the available complete archaeal virus genome sequences have been investigated. It was found that there is a significant variation in SCUB among different Archaeal virus species, which is mainly determined by the base composition. The outcome of correspondence analysis (COA) and Spearman׳s rank correlation analysis shows that codon usage of selected archaeal virus genes depends mainly on GC richness of genome, and the gene׳s function, albeit with smaller effects, also contributes to codon usage in this virus. Furthermore, this investigation reveals that aromaticity of each protein is also critical in affecting SCUB of these viral genes although it was less important than that of the mutational bias. Especially, mutational pressure may influence SCUB in SIRV1, SIRV2, ARV1, AFV1, and PhiCh1 viruses, whereas translational selection could play a leading role in HRPV1׳s SCUB. These conclusions not only can offer an insight into the codon usage biases of archaeal virus and subsequently the possible relationship between archaeal viruses and their host, but also may help in understanding the evolution of archaeal viruses and their gene classification, and more helpful to explore the origin of life and the evolution of biology.

Integrating genomics into the taxonomy and systematics of the Bacteria and Archaea

The polyphasic approach used today in the taxonomy and systematics of the Bacteria and Archaea includes the use of phenotypic, chemotaxonomic and genotypic data. The use of 16S rRNA gene sequence data has revolutionized our understanding of the microbial world and led to a rapid increase in the number of descriptions of novel taxa, especially at the species level. It has allowed in many cases for the demarcation of taxa into distinct species, but its limitations in a number of groups have resulted in the continued use of DNA-DNA hybridization. As technology has improved, next-generation sequencing (NGS) has provided a rapid and cost-effective approach to obtaining whole-genome sequences of microbial strains. Although some 12,000 bacterial or archaeal genome sequences are available for comparison, only 1725 of these are of actual type strains, limiting the use of genomic data in comparative taxonomic studies when there are nearly 11,000 type strains. Efforts to obtain complete genome sequences of all type strains are critical to the future of microbial systematics. The incorporation of genomics into the taxonomy and systematics of the Bacteria and Archaea coupled with computational advances will boost the credibility of taxonomy in the genomic era. This special issue of International Journal of Systematic and Evolutionary Microbiology contains both original research and review articles covering the use of genomic sequence data in microbial taxonomy and systematics. It includes contributions on specific taxa as well as outlines of approaches for incorporating genomics into new strain isolation to new taxon description workflows.

Phylogenetic- and genome-derived insight into the evolution of N-glycosylation in Archaea

N-glycosylation, the covalent attachment of oligosaccharides to target protein Asn residues, is a post-translational modification that occurs in all three domains of life. In Archaea, the N-linked glycans that decorate experimentally characterized glycoproteins reveal a diversity in composition and content unequaled by their bacterial or eukaryal counterparts. At the same time, relatively little is known of archaeal N-glycosylation pathways outside of a handful of model strains. To gain insight into the distribution and evolutionary history of the archaeal version of this universal protein-processing event, 168 archaeal genome sequences were scanned for the presence of aglB, encoding the known archaeal oligosaccharyltransferase, an enzyme key to N-glycosylation. Such analysis predicts the presence of AglB in 166 species, with some species seemingly containing multiple versions of the protein. Phylogenetic analysis reveals that the events leading to aglB duplication occurred at various points during archaeal evolution. In many cases, aglB is found as part of a cluster of putative N-glycosylation genes. The presence, arrangement and nucleotide composition of genes in aglB-based clusters in five species of the halophilic archaeon Haloferax points to lateral gene transfer as contributing to the evolution of archaeal N-glycosylation.

Change of carbon source causes dramatic effects in the phospho-proteome of the archaeon Sulfolobus solfataricus.

Protein phosphorylation is known to occur in Archaea. However, knowledge of phosphorylation in the third domain of life is rather scarce. Homology-based searches of archaeal genome sequences reveals the absence of two-component systems in crenarchaeal genomes but the presence of eukaryotic-like protein kinases and protein phosphatases. Here, the influence of the offered carbon source (glucose versus tryptone) on the phospho-proteome of Sulfolobus solfataricus P2 was studied by precursor acquisition independent from ion count (PAcIFIC). In comparison to previous phospho-proteome studies, a high number of phosphorylation sites (1318) located on 690 phospho-peptides from 540 unique phospho-proteins were detected, thus increasing the number of currently known archaeal phospho-proteins from 80 to 621. Furthermore, a 25.8/20.6/53.6 Ser/Thr/Tyr percentage ratio with an unexpectedly high predominance of tyrosine phosphorylation was detected. Phospho-proteins in most functional classes (21 out of 26 arCOGs) were identified, suggesting an important regulatory role in S. solfataricus. Focusing on the central carbohydrate metabolism in response to the offered carbon source, significant changes were observed. The observed complex phosphorylation pattern hints at an important physiological function of protein phosphorylation in control of the central carbohydrate metabolism, which might particularly operate in channeling carbon flux into the respective metabolic pathways.

The impact of genomics on research in diversity and evolution of archaea

Since the definition of archaea as a separate domain of life along with bacteria and eukaryotes, they have become one of the most interesting objects of modern microbiology, molecular biology, and biochemistry. Sequencing and analysis of archaeal genomes were especially important for studies on archaea because of a limited availability of genetic tools for the majority of these microorganisms and problems associated with their cultivation. Fifteen years since the publication of the first genome of an archaeon, more than one hundred complete genome sequences of representatives of different phylogenetic groups have been determined. Analysis of these genomes has expanded our knowledge of biology of archaea, their diversity and evolution, and allowed identification and characterization of new deep phylogenetic lineages of archaea. The development of genome technologies has allowed sequencing the genomes of uncultivated archaea directly from enrichment cultures, metagenomic samples, and even from single cells. Insights have been gained into the evolution of key biochemical processes in archaea, such as cell division and DNA replication, the role of horizontal gene transfer in the evolution of archaea, and new relationships between archaea and eukaryotes have been revealed.

Genome DNA Sequence Variation, Evolution, and Function in Bacteria and Archaea

Comparative genomics has revealed that variations in bacterial and archaeal genome DNA sequences cannot be explained by only neutral mutations. Virus resistance and plasmid distribution systems have resulted in changes in bacterial and archaeal genome sequences during evolution. The restriction-modification system, a virus resistance system, leads to avoidance of palindromic DNA sequences in genomes. Clustered, regularly interspaced, short palindromic repeats (CRISPRs) found in genomes represent yet another virus resistance system. Comparative genomics has shown that bacteria and archaea have failed to gain any DNA with GC content higher than the GC content of their chromosomes. Thus, horizontally transferred DNA regions have lower GC content than the host chromosomal DNA does. Some nucleoid-associated proteins bind DNA regions with low GC content and inhibit the expression of genes contained in those regions. This form of gene repression is another type of virus resistance system. On the other hand, bacteria and archaea have used plasmids to gain additional genes. Virus resistance systems influence plasmid distribution. Interestingly, the restriction-modification system and nucleoid-associated protein genes have been distributed via plasmids. Thus, GC content and genomic signatures do not reflect bacterial and archaeal evolutionary relationships.

Evolution of genome base composition and genome size in bacteria

Evolution of genome base composition and genome size in bacteria

Low rates of lateral gene transfer among metabolic genes define the evolving biogeochemical niches of archaea through deep time.

Phylogenomic analyses of archaeal genome sequences are providing windows into the group's evolutionary past, even though most archaeal taxa lack a conventional fossil record. Here, phylogenetic analyses were performed using key metabolic genes that define the metabolic niche of microorganisms. Such genes are generally considered to have undergone high rates of lateral gene transfer. Many gene sequences formed clades that were identical, or similar, to the tree constructed using large numbers of genes from the stable core of the genome. Surprisingly, such lateral transfer events were readily identified and quantifiable, occurring only a relatively small number of times in the archaeal domain of life. By placing gene acquisition events into a temporal framework, the rates by which new metabolic genes were acquired can be quantified. The highest lateral transfer rates were among cytochrome oxidase genes that use oxygen as a terminal electron acceptor (with a total of 12–14 lateral transfer events, or 3.4–4.0 events per billion years, across the entire archaeal domain). Genes involved in sulfur or nitrogen metabolism had much lower rates, on the order of one lateral transfer event per billion years. This suggests that lateral transfer rates of key metabolic proteins are rare and not rampant.

A phylogeny driven genomic encyclopedia of bacteria and archaea

Sequencing of bacterial and archaeal genomes has revolutionized our understanding of the many roles played by microorganisms, including those related to human health. Unfortunately, the available genomes are from a highly biased subset of the known phylogenetic diversity of microbes. In order to explore the value added by choosing microbial genomes for sequencing based on their evolutionary relationships, the Joint Genome Institute has sequenced and analyzed the genomes of 56 culturable species of bacteria and archaea selected to maximize phylogenetic coverage. I will present results from analysis of these genomes that demonstrate that there are pronounced benefits (compared to an equivalent set of genomes randomly selected from the existing database) in diverse areas including the reconstruction of phylogenetic history, the discovery of new protein families and novel biological properties, and the prediction of functions for known genes from other organisms. The results strongly support the need for systematic ‘phylogenomic’ efforts to compile a phylogeny‐driven ‘Genomic Encyclopedia of Bacteria and Archaea’ in order to derive maximum knowledge from existing microbial genome data as well as from genome sequences to come.

A phylogeny-driven genomic encyclopaedia of Bacteria and Archaea.

Sequencing of bacterial and archaeal genomes has revolutionized our understanding of the many roles played by microorganisms. There are now nearly 1,000 completed bacterial and archaeal genomes available, most of which were chosen for sequencing on the basis of their physiology. As a result, the perspective provided by the currently available genomes is limited by a highly biased phylogenetic distribution. To explore the value added by choosing microbial genomes for sequencing on the basis of their evolutionary relationships, we have sequenced and analysed the genomes of 56 culturable species of Bacteria and Archaea selected to maximize phylogenetic coverage. Analysis of these genomes demonstrated pronounced benefits (compared to an equivalent set of genomes randomly selected from the existing database) in diverse areas including the reconstruction of phylogenetic history, the discovery of new protein families and biological properties, and the prediction of functions for known genes from other organisms. Our results strongly support the need for systematic 'phylogenomic' efforts to compile a phylogeny-driven 'Genomic Encyclopedia of Bacteria and Archaea' in order to derive maximum knowledge from existing microbial genome data as well as from genome sequences to come.

Virus Population Dynamics and Acquired Virus Resistance in Natural Microbial Communities

Viruses shape microbial community structure and function by altering the fitness of their hosts and by promoting genetic exchange. The complexity of most natural ecosystems has precluded detailed studies of virus-host interactions. We reconstructed virus and host bacterial and archaeal genome sequences from community genomic data from two natural acidophilic biofilms. Viruses were matched to their hosts by analyzing spacer sequences that occur among clustered regularly interspaced short palindromic repeats (CRISPRs) that are a hallmark of virus resistance. Virus population genomic analyses provided evidence that extensive recombination shuffles sequence motifs sufficiently to evade CRISPR spacers. Only the most recently acquired spacers match coexisting viruses, which suggests that community stability is achieved by rapid but compensatory shifts in host resistance levels and virus population structure.