The rapidly growing database of completely sequenced genomes of bacteria, archaea and eukaryotes (over 1100 genomes available by the beginning of 2010 and many more in progress) creates both new opportunities and new challenges for genome research. During the last year, we performed several studies that took advantage of the genomic information to establish fundamental principles of genome evolution and function. In particular, we performed a comprehensive comparative analysis of eukaryotic nucleo-cytoplasmic large DNA viruses (NCLDV) including the construction of clusters of orthologous genes and reconstruction of viral genome evolution. The NCLDV comprise an apparently monophyletic class of viruses that infect a broad variety of eukaryotic hosts. Recent progress in isolation of new viruses and genome sequencing resulted in a substantial expansion of the NCLDV diversity, resulting in additional opportunities for comparative genomic analysis, and a demand for a comprehensive classification of viral genes. A comprehensive comparison of the protein sequences encoded in the genomes of 45 NCLDV belonging to 6 families was performed in order to delineate cluster of orthologous viral genes. Using previously developed computational methods for orthology identification, 1445 Nucleo-Cytoplasmic Virus Orthologous Groups (NCVOGs) were identified of which 177 are represented in more than one NCLDV family. The NCVOGs were manually curated and annotated and can be used as a computational platform for functional annotation and evolutionary analysis of new NCLDV genomes. A maximum-likelihood reconstruction of the NCLDV evolution yielded a set of 47 conserved genes that were probably present in the genome of the common ancestor of this class of eukaryotic viruses. This reconstructed ancestral gene set is robust to the parameters of the reconstruction procedure and so is likely to accurately reflect the gene core of the ancestral NCLDV, indicating that this virus encoded a complex machinery of replication, expression and morphogenesis that made it relatively independent from host cell functions. The NCVOGs are a flexible and expandable platform for genome analysis and functional annotation of newly characterized NCLDV. Evolutionary reconstructions employing NCVOGs point to complex ancestral viruses. In another project, we investigated the abundance and distribution of type I toxin-antitoxin systems in bacteria with the goals of searching for new candidates and discovering novel families. Small, hydrophobic proteins whose synthesis is repressed by small RNAs (sRNAs), denoted type I toxin-antitoxin modules, were first discovered on plasmids where they regulate plasmid stability, but were subsequently found on a few bacterial chromosomes. We used exhaustive PSI-BLAST and TBLASTN searches across 774 bacterial genomes to identify homologs of known type I toxins. These searches substantially expanded the collection of predicted type I toxins, revealed homology of the Ldr and Fst toxins, and suggested that type I toxin-antitoxin loci are not spread by horizontal gene transfer. To discover novel type I toxin-antitoxin systems, we developed a set of search parameters based on characteristics of known loci including the presence of tandem repeats and clusters of charged and bulky amino acids at the C-termini of short proteins containing predicted transmembrane regions. We detected sRNAs for three predicted toxins from enterohemorrhagic Escherichia coli and Bacillus subtilis, and showed that two of the respective proteins indeed are toxic when overexpressed. We also demonstrated that the local free-energy minima of RNA folding can be used to detect the positions of the sRNA genes. Our results suggest that type I toxin-antitoxin modules are much more widely distributed among bacteria than previously appreciated. In a separate comparative genomic study we explored distinct patterns of expression and evolution of intronless and intron-containing mammalian genes. Comparison of expression levels and breadth and evolutionary rates of intronless and intron-containing mammalian genes shows that intronless genes are expressed at lower levels, tend to be tissue specific, and evolve significantly faster than spliced genes. By contrast, monomorphic spliced genes that are not subject to detectable alternative splicing and polymorphic alternatively spliced genes show similar statistically indistinguishable patterns of expression and evolution. Alternative splicing is most common in ancient genes, whereas intronless genes appear to have relatively recent origins. These results imply tight coupling between different stages of gene expression, in particular, transcription, splicing, and nucleocytosolic transport of transcripts, and suggest that formation of intronless genes is an important route of evolution of novel tissue-specific functions in animals.

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Project End
Budget Start
Budget End
Support Year
15
Fiscal Year
2010
Total Cost
$2,154,570
Indirect Cost
Name
National Library of Medicine
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Type
DUNS #
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Krupovic, Mart; Cvirkaite-Krupovic, Virginija; Iranzo, Jaime et al. (2018) Viruses of archaea: Structural, functional, environmental and evolutionary genomics. Virus Res 244:181-193
Yutin, Natalya; Makarova, Kira S; Gussow, Ayal B et al. (2018) Discovery of an expansive bacteriophage family that includes the most abundant viruses from the human gut. Nat Microbiol 3:38-46
He, Fei; Bhoobalan-Chitty, Yuvaraj; Van, Lan B et al. (2018) Anti-CRISPR proteins encoded by archaeal lytic viruses inhibit subtype I-D immunity. Nat Microbiol 3:461-469
Shmakov, Sergey A; Makarova, Kira S; Wolf, Yuri I et al. (2018) Systematic prediction of genes functionally linked to CRISPR-Cas systems by gene neighborhood analysis. Proc Natl Acad Sci U S A 115:E5307-E5316
Pushkarev, Alina; Inoue, Keiichi; Larom, Shirley et al. (2018) A distinct abundant group of microbial rhodopsins discovered using functional metagenomics. Nature 558:595-599
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Ferrer, Manuel; Sorokin, Dimitry Y; Wolf, Yuri I et al. (2018) Proteomic Analysis of Methanonatronarchaeum thermophilum AMET1, a Representative of a Putative New Class of Euryarchaeota, ""Methanonatronarchaeia"". Genes (Basel) 9:
Galperin, Michael Y; Makarova, Kira S; Wolf, Yuri I et al. (2018) Phyletic Distribution and Lineage-Specific Domain Architectures of Archaeal Two-Component Signal Transduction Systems. J Bacteriol 200:
Koonin, Eugene V; Makarova, Kira S; Zhang, Feng (2017) Diversity, classification and evolution of CRISPR-Cas systems. Curr Opin Microbiol 37:67-78

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