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Baquero F, Martínez JL, F. Lanza V, Rodríguez-Beltrán J, Galán JC, San Millán A, Cantón R, Coque TM. Evolutionary Pathways and Trajectories in Antibiotic Resistance. Clin Microbiol Rev 2021; 34:e0005019. [PMID: 34190572 PMCID: PMC8404696 DOI: 10.1128/cmr.00050-19] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Evolution is the hallmark of life. Descriptions of the evolution of microorganisms have provided a wealth of information, but knowledge regarding "what happened" has precluded a deeper understanding of "how" evolution has proceeded, as in the case of antimicrobial resistance. The difficulty in answering the "how" question lies in the multihierarchical dimensions of evolutionary processes, nested in complex networks, encompassing all units of selection, from genes to communities and ecosystems. At the simplest ontological level (as resistance genes), evolution proceeds by random (mutation and drift) and directional (natural selection) processes; however, sequential pathways of adaptive variation can occasionally be observed, and under fixed circumstances (particular fitness landscapes), evolution is predictable. At the highest level (such as that of plasmids, clones, species, microbiotas), the systems' degrees of freedom increase dramatically, related to the variable dispersal, fragmentation, relatedness, or coalescence of bacterial populations, depending on heterogeneous and changing niches and selective gradients in complex environments. Evolutionary trajectories of antibiotic resistance find their way in these changing landscapes subjected to random variations, becoming highly entropic and therefore unpredictable. However, experimental, phylogenetic, and ecogenetic analyses reveal preferential frequented paths (highways) where antibiotic resistance flows and propagates, allowing some understanding of evolutionary dynamics, modeling and designing interventions. Studies on antibiotic resistance have an applied aspect in improving individual health, One Health, and Global Health, as well as an academic value for understanding evolution. Most importantly, they have a heuristic significance as a model to reduce the negative influence of anthropogenic effects on the environment.
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Affiliation(s)
- F. Baquero
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - J. L. Martínez
- National Center for Biotechnology (CNB-CSIC), Madrid, Spain
| | - V. F. Lanza
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Central Bioinformatics Unit, Ramón y Cajal Institute for Health Research (IRYCIS), Madrid, Spain
| | - J. Rodríguez-Beltrán
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - J. C. Galán
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - A. San Millán
- National Center for Biotechnology (CNB-CSIC), Madrid, Spain
| | - R. Cantón
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - T. M. Coque
- Department of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
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Codon Usage Optimization in the Prokaryotic Tree of Life: How Synonymous Codons Are Differentially Selected in Sequence Domains with Different Expression Levels and Degrees of Conservation. mBio 2020; 11:mBio.00766-20. [PMID: 32694138 PMCID: PMC7374057 DOI: 10.1128/mbio.00766-20] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The prokaryotic genomes—the current heritage of the most ancient life forms on earth—are comprised of diverse gene sets, all characterized by varied origins, ancestries, and spatial-temporal expression patterns. Such genetic diversity has for a long time raised the question of how cells shape their coding strategies to optimize protein demands (i.e., product abundance) and accuracy (i.e., translation fidelity) through the use of the same genetic code in genomes with GC contents that range from less than 20 to more than 80%. Here, we present evidence on how codon usage is adjusted in the prokaryotic tree of life and on how specific biases have operated to improve translation. Through the use of proteome data, we characterized conserved and variable sequence domains in genes of either high or low expression level and quantitated the relative weight of efficiency and accuracy—as well as their interaction—in shaping codon usage in prokaryotes. Prokaryote genomes exhibit a wide range of GC contents and codon usages, both resulting from an interaction between mutational bias and natural selection. In order to investigate the basis underlying specific codon changes, we performed a comprehensive analysis of 29 different prokaryote families. The analysis of core gene sets with increasing ancestries in each family lineage revealed that the codon usages became progressively more adapted to the tRNA pools. While, as previously reported, highly expressed genes presented the most optimized codon usage, the singletons contained the less selectively favored codons. The results showed that usually codons with the highest translational adaptation were preferentially enriched. In agreement with previous reports, a C bias in 2- to 3-fold pyrimidine-ending codons, and a U bias in 4-fold codons occurred in all families, irrespective of the global genomic GC content. Furthermore, the U biases suggested that U3-mRNA–U34-tRNA interactions were responsible for a prominent codon optimization in both the most ancestral core and the highly expressed genes. A comparative analysis of sequences that encode conserved (cr) or variable (vr) translated products, with each one being under high (HEP) and low (LEP) expression levels, demonstrated that the efficiency was more relevant (by a factor of 2) than accuracy to modeling codon usage. Finally, analysis of the third position of codons (GC3) revealed that in genomes with global GC contents higher than 35 to 40%, selection favored a GC3 increase, whereas in genomes with very low GC contents, a decrease in GC3 occurred. A comprehensive final model is presented in which all patterns of codon usage variations are condensed in four distinct behavioral groups.
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Hunter CA, Plymale NI, Smee KM, Sarisky CA. Experimental characterization of two archaeal inosine 5'-monophosphate cyclohydrolases. PLoS One 2019; 14:e0223983. [PMID: 31622427 PMCID: PMC6797443 DOI: 10.1371/journal.pone.0223983] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Accepted: 10/02/2019] [Indexed: 12/04/2022] Open
Abstract
There is variability as to how archaea catalyze the final step of de novo purine biosynthesis to form inosine 5’-monophosphate (IMP) from 5-formamidoimidazole-4-carboxamide ribonucleotide (FAICAR). Although non-archaea almost uniformly use the bifunctional PurH protein, which has an N-terminal IMP cyclohydrolase (PurH2) fused to a C-terminal folate-dependent aminoimidazole-4-carboxamide ribonucleotide (AICAR) formyltransferase (PurH1) domain, a survey of the genomes of archaea reveals use of PurH2 (with or without fusion to PurH1), the “euryarchaeal signature protein” PurO, or an unidentified crenarchaeal IMP cyclohydrolase. In this report, we present the cloning and functional characterization of two representatives of the known IMP cyclohydrolase families. The locus TK0430 in Thermococcus kodakarensis encodes a PurO-type IMP cyclohydrolase with demonstrated activity despite its position in a cluster of apparently redundant biosynthetic genes, the first functional characterization of a PurO from a non-methanogen. Kinetic characterization reveals a Km for FAICAR of 1.56 ± 0.39 μM and a kcat of 0.48 ± 0.04 s-1. The locus AF1811 from Archaeoglobus fulgidus encodes a PurH2-type IMP cyclohydrolase. This Archaeoglobus fulgidus PurH2 has a Km of 7.8 ± 1.8 μM and kcat of 1.32 ± 0.14 s-1, representing the first characterization of an archaeal PurH2 and the first characterization of PurH2 that naturally occurs unfused to an AICAR formyltransferase domain. Each of these two characterized IMP cyclohydrolases converts FAICAR to IMP in vitro, and each cloned gene allows the growth on purine-deficient media of an E. coli purine auxotroph lacking the purH2 gene.
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Affiliation(s)
- Caroline A. Hunter
- Department of Chemistry, Roanoke College, Salem, Virginia, United States of America
| | - Nicholas I. Plymale
- Department of Chemistry, Roanoke College, Salem, Virginia, United States of America
| | - Kevin M. Smee
- Department of Chemistry, Roanoke College, Salem, Virginia, United States of America
| | - Catherine A. Sarisky
- Department of Chemistry, Roanoke College, Salem, Virginia, United States of America
- * E-mail:
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4
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Nguyen M, Long SW, McDermott PF, Olsen RJ, Olson R, Stevens RL, Tyson GH, Zhao S, Davis JJ. Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella. J Clin Microbiol 2019; 57:e01260-18. [PMID: 30333126 PMCID: PMC6355527 DOI: 10.1128/jcm.01260-18] [Citation(s) in RCA: 127] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 09/25/2018] [Indexed: 11/20/2022] Open
Abstract
Nontyphoidal Salmonella species are the leading bacterial cause of foodborne disease in the United States. Whole-genome sequences and paired antimicrobial susceptibility data are available for Salmonella strains because of surveillance efforts from public health agencies. In this study, a collection of 5,278 nontyphoidal Salmonella genomes, collected over 15 years in the United States, was used to generate extreme gradient boosting (XGBoost)-based machine learning models for predicting MICs for 15 antibiotics. The MIC prediction models had an overall average accuracy of 95% within ±1 2-fold dilution step (confidence interval, 95% to 95%), an average very major error rate of 2.7% (confidence interval, 2.4% to 3.0%), and an average major error rate of 0.1% (confidence interval, 0.1% to 0.2%). The model predicted MICs with no a priori information about the underlying gene content or resistance phenotypes of the strains. By selecting diverse genomes for the training sets, we show that highly accurate MIC prediction models can be generated with less than 500 genomes. We also show that our approach for predicting MICs is stable over time, despite annual fluctuations in antimicrobial resistance gene content in the sampled genomes. Finally, using feature selection, we explore the important genomic regions identified by the models for predicting MICs. To date, this is one of the largest MIC modeling studies to be published. Our strategy for developing whole-genome sequence-based models for surveillance and clinical diagnostics can be readily applied to other important human pathogens.
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Affiliation(s)
- Marcus Nguyen
- University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA
- Computing, Environment and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA
| | - S Wesley Long
- Center for Molecular and Translational Human Infectious Diseases Research, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute and Houston Methodist Hospital, Houston, Texas, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Patrick F McDermott
- U.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA
| | - Randall J Olsen
- Center for Molecular and Translational Human Infectious Diseases Research, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute and Houston Methodist Hospital, Houston, Texas, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Robert Olson
- University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA
- Computing, Environment and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA
| | - Rick L Stevens
- Computing, Environment and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA
- Department of Computer Science, University of Chicago, Chicago, Illinois, USA
| | - Gregory H Tyson
- U.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA
| | - Shaohua Zhao
- U.S. Food and Drug Administration, Center for Veterinary Medicine, Office of Research, Laurel, Maryland, USA
| | - James J Davis
- University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA
- Computing, Environment and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA
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5
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Sayavedra L, Kleiner M, Ponnudurai R, Wetzel S, Pelletier E, Barbe V, Satoh N, Shoguchi E, Fink D, Breusing C, Reusch TBH, Rosenstiel P, Schilhabel MB, Becher D, Schweder T, Markert S, Dubilier N, Petersen JM. Abundant toxin-related genes in the genomes of beneficial symbionts from deep-sea hydrothermal vent mussels. eLife 2015; 4:e07966. [PMID: 26371554 PMCID: PMC4612132 DOI: 10.7554/elife.07966] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Accepted: 09/14/2015] [Indexed: 01/06/2023] Open
Abstract
Bathymodiolus mussels live in symbiosis with intracellular sulfur-oxidizing (SOX) bacteria that provide them with nutrition. We sequenced the SOX symbiont genomes from two Bathymodiolus species. Comparison of these symbiont genomes with those of their closest relatives revealed that the symbionts have undergone genome rearrangements, and up to 35% of their genes may have been acquired by horizontal gene transfer. Many of the genes specific to the symbionts were homologs of virulence genes. We discovered an abundant and diverse array of genes similar to insecticidal toxins of nematode and aphid symbionts, and toxins of pathogens such as Yersinia and Vibrio. Transcriptomics and proteomics revealed that the SOX symbionts express the toxin-related genes (TRGs) in their hosts. We hypothesize that the symbionts use these TRGs in beneficial interactions with their host, including protection against parasites. This would explain why a mutualistic symbiont would contain such a remarkable 'arsenal' of TRGs.
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Affiliation(s)
| | - Manuel Kleiner
- Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Ruby Ponnudurai
- Institute of Pharmacy, Ernst-Moritz-Arndt-University, Greifswald, Germany
| | - Silke Wetzel
- Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Eric Pelletier
- Genoscope - Centre National de Séquençage, Commissariat à l'énergie atomique et aux énergies alternatives, Evry, France
- Metabolic Genomics Group, Commissariat à l'énergie atomique et aux énergies alternatives, Evry, France
- University of Évry-Val d'Essonne, Evry, France
| | - Valerie Barbe
- Genoscope - Centre National de Séquençage, Commissariat à l'énergie atomique et aux énergies alternatives, Evry, France
| | - Nori Satoh
- Marine Genomics Unit, Okinawa Institute of Science and Technology, Onna, Japan
| | - Eiichi Shoguchi
- Marine Genomics Unit, Okinawa Institute of Science and Technology, Onna, Japan
| | - Dennis Fink
- Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Corinna Breusing
- Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
| | - Thorsten BH Reusch
- Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
| | | | | | - Dörte Becher
- Institute of Marine Biotechnology, Greifswald, Germany
- Institute of Microbiology, Ernst-Moritz-Arndt-University, Greifswald, Germany
| | - Thomas Schweder
- Institute of Pharmacy, Ernst-Moritz-Arndt-University, Greifswald, Germany
- Institute of Marine Biotechnology, Greifswald, Germany
| | - Stephanie Markert
- Institute of Pharmacy, Ernst-Moritz-Arndt-University, Greifswald, Germany
- Institute of Marine Biotechnology, Greifswald, Germany
| | - Nicole Dubilier
- Max Planck Institute for Marine Microbiology, Bremen, Germany
- University of Bremen, Bremen, Germany
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A Post-Genomic View of the Ecophysiology, Catabolism and Biotechnological Relevance of Sulphate-Reducing Prokaryotes. Adv Microb Physiol 2015. [PMID: 26210106 DOI: 10.1016/bs.ampbs.2015.05.002] [Citation(s) in RCA: 174] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Dissimilatory sulphate reduction is the unifying and defining trait of sulphate-reducing prokaryotes (SRP). In their predominant habitats, sulphate-rich marine sediments, SRP have long been recognized to be major players in the carbon and sulphur cycles. Other, more recently appreciated, ecophysiological roles include activity in the deep biosphere, symbiotic relations, syntrophic associations, human microbiome/health and long-distance electron transfer. SRP include a high diversity of organisms, with large nutritional versatility and broad metabolic capacities, including anaerobic degradation of aromatic compounds and hydrocarbons. Elucidation of novel catabolic capacities as well as progress in the understanding of metabolic and regulatory networks, energy metabolism, evolutionary processes and adaptation to changing environmental conditions has greatly benefited from genomics, functional OMICS approaches and advances in genetic accessibility and biochemical studies. Important biotechnological roles of SRP range from (i) wastewater and off gas treatment, (ii) bioremediation of metals and hydrocarbons and (iii) bioelectrochemistry, to undesired impacts such as (iv) souring in oil reservoirs and other environments, and (v) corrosion of iron and concrete. Here we review recent advances in our understanding of SRPs focusing mainly on works published after 2000. The wealth of publications in this period, covering many diverse areas, is a testimony to the large environmental, biogeochemical and technological relevance of these organisms and how much the field has progressed in these years, although many important questions and applications remain to be explored.
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Faria JP, Edirisinghe JN, Davis JJ, Disz T, Hausmann A, Henry CS, Olson R, Overbeek RA, Pusch GD, Shukla M, Vonstein V, Wattam AR. Enabling comparative modeling of closely related genomes: example genus Brucella. 3 Biotech 2015; 5:101-105. [PMID: 28324362 PMCID: PMC4327756 DOI: 10.1007/s13205-014-0202-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Accepted: 02/17/2014] [Indexed: 12/22/2022] Open
Abstract
For many scientific applications, it is highly desirable to be able to compare metabolic models of closely related genomes. In this short report, we attempt to raise awareness to the fact that taking annotated genomes from public repositories and using them for metabolic model reconstructions is far from being trivial due to annotation inconsistencies. We are proposing a protocol for comparative analysis of metabolic models on closely related genomes, using fifteen strains of genus Brucella, which contains pathogens of both humans and livestock. This study lead to the identification and subsequent correction of inconsistent annotations in the SEED database, as well as the identification of 31 biochemical reactions that are common to Brucella, which are not originally identified by automated metabolic reconstructions. We are currently implementing this protocol for improving automated annotations within the SEED database and these improvements have been propagated into PATRIC, Model-SEED, KBase and RAST. This method is an enabling step for the future creation of consistent annotation systems and high-quality model reconstructions that will support in predicting accurate phenotypes such as pathogenicity, media requirements or type of respiration.
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Affiliation(s)
- José P Faria
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
- IBB-Institute for Biotechnology and Bioengineering, Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal
| | - Janaka N Edirisinghe
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
- Computation Institute, University of Chicago, Chicago, IL, USA
| | - James J Davis
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA.
- Computation Institute, University of Chicago, Chicago, IL, USA.
| | - Terrence Disz
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
| | - Anna Hausmann
- Fellowship for Interpretation of Genomes, Burr Ridge, IL, USA
| | - Christopher S Henry
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
- Computation Institute, University of Chicago, Chicago, IL, USA
| | - Robert Olson
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
| | - Ross A Overbeek
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
- Fellowship for Interpretation of Genomes, Burr Ridge, IL, USA
| | - Gordon D Pusch
- Fellowship for Interpretation of Genomes, Burr Ridge, IL, USA
| | - Maulik Shukla
- Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA
| | - Veronika Vonstein
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA
- Fellowship for Interpretation of Genomes, Burr Ridge, IL, USA
| | - Alice R Wattam
- Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA
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8
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Ecotype diversity and conversion in Photobacterium profundum strains. PLoS One 2014; 9:e96953. [PMID: 24824441 PMCID: PMC4019646 DOI: 10.1371/journal.pone.0096953] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2014] [Accepted: 04/12/2014] [Indexed: 12/03/2022] Open
Abstract
Photobacterium profundum is a cosmopolitan marine bacterium capable of growth at low temperature and high hydrostatic pressure. Multiple strains of P. profundum have been isolated from different depths of the ocean and display remarkable differences in their physiological responses to pressure. The genome sequence of the deep-sea piezopsychrophilic strain Photobacterium profundum SS9 has provided some clues regarding the genetic features required for growth in the deep sea. The sequenced genome of Photobacterium profundum strain 3TCK, a non-piezophilic strain isolated from a shallow-water environment, is now available and its analysis expands the identification of unique genomic features that correlate to environmental differences and define the Hutchinsonian niche of each strain. These differences range from variations in gene content to specific gene sequences under positive selection. Genome plasticity between Photobacterium bathytypes was investigated when strain 3TCK-specific genes involved in photorepair were introduced to SS9, demonstrating that horizontal gene transfer can provide a mechanism for rapid colonisation of new environments.
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Borziak K, Posner MG, Upadhyay A, Danson MJ, Bagby S, Dorus S. Comparative genomic analysis reveals 2-oxoacid dehydrogenase complex lipoylation correlation with aerobiosis in archaea. PLoS One 2014; 9:e87063. [PMID: 24489835 PMCID: PMC3904984 DOI: 10.1371/journal.pone.0087063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2013] [Accepted: 12/18/2013] [Indexed: 02/04/2023] Open
Abstract
Metagenomic analyses have advanced our understanding of ecological microbial diversity, but to what extent can metagenomic data be used to predict the metabolic capacity of difficult-to-study organisms and their abiotic environmental interactions? We tackle this question, using a comparative genomic approach, by considering the molecular basis of aerobiosis within archaea. Lipoylation, the covalent attachment of lipoic acid to 2-oxoacid dehydrogenase multienzyme complexes (OADHCs), is essential for metabolism in aerobic bacteria and eukarya. Lipoylation is catalysed either by lipoate protein ligase (LplA), which in archaea is typically encoded by two genes (LplA-N and LplA-C), or by a lipoyl(octanoyl) transferase (LipB or LipM) plus a lipoic acid synthetase (LipA). Does the genomic presence of lipoylation and OADHC genes across archaea from diverse habitats correlate with aerobiosis? First, analyses of 11,826 biotin protein ligase (BPL)-LplA-LipB transferase family members and 147 archaeal genomes identified 85 species with lipoylation capabilities and provided support for multiple ancestral acquisitions of lipoylation pathways during archaeal evolution. Second, with the exception of the Sulfolobales order, the majority of species possessing lipoylation systems exclusively retain LplA, or either LipB or LipM, consistent with archaeal genome streamlining. Third, obligate anaerobic archaea display widespread loss of lipoylation and OADHC genes. Conversely, a high level of correspondence is observed between aerobiosis and the presence of LplA/LipB/LipM, LipA and OADHC E2, consistent with the role of lipoylation in aerobic metabolism. This correspondence between OADHC lipoylation capacity and aerobiosis indicates that genomic pathway profiling in archaea is informative and that well characterized pathways may be predictive in relation to abiotic conditions in difficult-to-study extremophiles. Given the highly variable retention of gene repertoires across the archaea, the extension of comparative genomic pathway profiling to broader metabolic and homeostasis networks should be useful in revealing characteristics from metagenomic datasets related to adaptations to diverse environments.
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Affiliation(s)
- Kirill Borziak
- Department of Biology, Syracuse University, Syracuse, New York, United States of America
| | - Mareike G. Posner
- Department of Biology & Biochemistry, University of Bath, Claverton Down, United Kingdom
| | - Abhishek Upadhyay
- Department of Biology & Biochemistry, University of Bath, Claverton Down, United Kingdom
| | - Michael J. Danson
- Department of Biology & Biochemistry, University of Bath, Claverton Down, United Kingdom
- Centre for Extremophile Research, University of Bath, Claverton Down, United Kingdom
| | - Stefan Bagby
- Department of Biology & Biochemistry, University of Bath, Claverton Down, United Kingdom
- * E-mail: (SB); (SD)
| | - Steve Dorus
- Department of Biology, Syracuse University, Syracuse, New York, United States of America
- * E-mail: (SB); (SD)
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10
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O'Neill PK, Or M, Erill I. scnRCA: a novel method to detect consistent patterns of translational selection in mutationally-biased genomes. PLoS One 2013; 8:e76177. [PMID: 24116094 PMCID: PMC3792112 DOI: 10.1371/journal.pone.0076177] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2013] [Accepted: 08/23/2013] [Indexed: 12/04/2022] Open
Abstract
Codon usage bias (CUB) results from the complex interplay between translational selection and mutational biases. Current methods for CUB analysis apply heuristics to integrate both components, limiting the depth and scope of CUB analysis as a technique to probe into the evolution and optimization of protein-coding genes. Here we introduce a self-consistent CUB index (scnRCA) that incorporates implicit correction for mutational biases, facilitating exploration of the translational selection component of CUB. We validate this technique using gene expression data and we apply it to a detailed analysis of CUB in the Pseudomonadales. Our results illustrate how the selective enrichment of specific codons among highly expressed genes is preserved in the context of genome-wide shifts in codon frequencies, and how the balance between mutational and translational biases leads to varying definitions of codon optimality. We extend this analysis to other moderate and fast growing bacteria and we provide unified support for the hypothesis that C- and A-ending codons of two-box amino acids, and the U-ending codons of four-box amino acids, are systematically enriched among highly expressed genes across bacteria. The use of an unbiased estimator of CUB allows us to report for the first time that the signature of translational selection is strongly conserved in the Pseudomonadales in spite of drastic changes in genome composition, and extends well beyond the core set of highly optimized genes in each genome. We generalize these results to other moderate and fast growing bacteria, hinting at selection for a universal pattern of gene expression that is conserved and detectable in conserved patterns of codon usage bias.
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Affiliation(s)
- Patrick K. O'Neill
- Department of Biological Sciences, University of Maryland Baltimore County (UMBC), Baltimore, Maryland, United States of America
| | - Mindy Or
- Department of Biological Sciences, University of Maryland Baltimore County (UMBC), Baltimore, Maryland, United States of America
| | - Ivan Erill
- Department of Biological Sciences, University of Maryland Baltimore County (UMBC), Baltimore, Maryland, United States of America
- * E-mail:
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11
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Davis JJ, Xia F, Overbeek RA, Olsen GJ. Genomes of the class Erysipelotrichia clarify the firmicute origin of the class Mollicutes. Int J Syst Evol Microbiol 2013; 63:2727-2741. [PMID: 23606477 PMCID: PMC3749518 DOI: 10.1099/ijs.0.048983-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The tree of life is paramount for achieving an integrated understanding of microbial evolution and the relationships between physiology, genealogy and genomics. It provides the framework for interpreting environmental sequence data, whether applied to microbial ecology or to human health. However, there remain many instances where there is ambiguity in our understanding of the phylogeny of major lineages, and/or confounding nomenclature. Here we apply recent genomic sequence data to examine the evolutionary history of members of the classes Mollicutes (phylum Tenericutes) and Erysipelotrichia (phylum Firmicutes). Consistent with previous analyses, we find evidence of a specific relationship between them in molecular phylogenies and signatures of the 16S rRNA, 23S rRNA, ribosomal proteins and aminoacyl-tRNA synthetase proteins. Furthermore, by mapping functions over the phylogenetic tree we find that the erysipelotrichia lineages are involved in various stages of genomic reduction, having lost (often repeatedly) a variety of metabolic functions and the ability to form endospores. Although molecular phylogeny has driven numerous taxonomic revisions, we find it puzzling that the most recent taxonomic revision of the phyla Firmicutes and Tenericutes has further separated them into distinct phyla, rather than reflecting their common roots.
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Affiliation(s)
- James J Davis
- Department of Microbiology and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, USA
| | | | - Ross A Overbeek
- Fellowship for Interpretation of Genomes, Burr Ridge, IL, USA
| | - Gary J Olsen
- Center for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, USA.,Department of Microbiology and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, USA
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Wegmann U, Overweg K, Jeanson S, Gasson M, Shearman C. Molecular characterization and structural instability of the industrially important composite metabolic plasmid pLP712. MICROBIOLOGY-SGM 2012; 158:2936-2945. [PMID: 23023974 DOI: 10.1099/mic.0.062554-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The widely used plasmid-free Lactococcus lactis strain MG1363 was derived from the industrial dairy starter strain NCDO712. This strain carries a 55.39 kb plasmid encoding genes for lactose catabolism and a serine proteinase involved in casein degradation. We report the DNA sequencing and annotation of pLP712, which revealed additional metabolic genes, including peptidase F, d-lactate dehydrogenase and α-keto acid dehydrogenase (E3 complex). Comparison of pLP712 with other large lactococcal lactose and/or proteinase plasmids from L. lactis subsp. cremoris SK11 (pSK11L, pSK11P) and the plant strain L. lactis NCDO1867 (pGdh442) revealed their close relationship. The plasmid appears to have evolved through a series of genetic events as a composite of pGdh442, pSK11L and pSK11P. We describe in detail a scenario by which the metabolic genes relevant to the growth of its host in a milk environment have been unified on one replicon, reflecting the evolution of L. lactis as it changed its biological niche from plants to dairy environments. The extensive structural instability of pLP712 allows easy isolation of derivative plasmids lacking genes for casein degradation and/or lactose catabolism. Plasmid pLP712 is transferable by transduction and conjugation, and both of these processes result in significant molecular rearrangements. We report the detailed molecular analysis of insertion sequence element-mediated genetic rearrangements within pLP712 and several different mechanisms, including homologous recombination and adjacent deletion. Analysis of the integration of the lactose operon into the chromosome highlights the fluidity of the MG1363 integration hotspot and the potential for frequent movement of genes between plasmids and chromosomes in Lactococcus.
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Affiliation(s)
- Udo Wegmann
- Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, UK
| | - Karin Overweg
- Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, UK
| | - Sophie Jeanson
- Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, UK
| | - Mike Gasson
- Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, UK
| | - Claire Shearman
- Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, UK
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13
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Friedman R, Ely B. Codon usage methods for horizontal gene transfer detection generate an abundance of false positive and false negative results. Curr Microbiol 2012; 65:639-42. [PMID: 23010940 DOI: 10.1007/s00284-012-0205-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2012] [Accepted: 07/07/2012] [Indexed: 11/24/2022]
Abstract
Bacteria acquire new DNA in a process known as horizontal gene transfer (HGT). To investigate the evolutionary impact of this transfer of DNA, various methods have been developed to detect past HGT events. For example, codon usage-based methods detect the presence of transferred genes by identifying atypical patterns of codon usage. However, some inherited genes exhibit atypical codon usage and some transferred genes have codon usage patterns similar to those of the inherited genes. In this study, we used a comparative phylogenetic approach with Methylobacterium and Caulobacter species to demonstrate that even well-designed codon usage methods fail to detect many HGT events and generate a high rate of false positives (60-75 %) and false negatives (23-61 %). Therefore, we recommend caution when employing codon usage methods to identify transferred genes and suggest that the rapidly increasing availability of bacterial genome sequences makes the phylogenetic approach the method of choice.
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Affiliation(s)
- Robert Friedman
- Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA.
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14
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Zhang Z, Li J, Cui P, Ding F, Li A, Townsend JP, Yu J. Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance. BMC Bioinformatics 2012; 13:43. [PMID: 22435713 PMCID: PMC3368730 DOI: 10.1186/1471-2105-13-43] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2011] [Accepted: 03/22/2012] [Indexed: 02/07/2023] Open
Abstract
Background Genetic mutation, selective pressure for translational efficiency and accuracy, level of gene expression, and protein function through natural selection are all believed to lead to codon usage bias (CUB). Therefore, informative measurement of CUB is of fundamental importance to making inferences regarding gene function and genome evolution. However, extant measures of CUB have not fully accounted for the quantitative effect of background nucleotide composition and have not statistically evaluated the significance of CUB in sequence analysis. Results Here we propose a novel measure--Codon Deviation Coefficient (CDC)--that provides an informative measurement of CUB and its statistical significance without requiring any prior knowledge. Unlike previous measures, CDC estimates CUB by accounting for background nucleotide compositions tailored to codon positions and adopts the bootstrapping to assess the statistical significance of CUB for any given sequence. We evaluate CDC by examining its effectiveness on simulated sequences and empirical data and show that CDC outperforms extant measures by achieving a more informative estimation of CUB and its statistical significance. Conclusions As validated by both simulated and empirical data, CDC provides a highly informative quantification of CUB and its statistical significance, useful for determining comparative magnitudes and patterns of biased codon usage for genes or genomes with diverse sequence compositions.
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Affiliation(s)
- Zhang Zhang
- Computational Bioscience Research Center (CBRC), King Abdullah Universitof Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
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15
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Brown AM, Hoopes SL, White RH, Sarisky CA. Purine biosynthesis in archaea: variations on a theme. Biol Direct 2011; 6:63. [PMID: 22168471 PMCID: PMC3261824 DOI: 10.1186/1745-6150-6-63] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2011] [Accepted: 12/14/2011] [Indexed: 11/10/2022] Open
Abstract
Background The ability to perform de novo biosynthesis of purines is present in organisms in all three domains of life, reflecting the essentiality of these molecules to life. Although the pathway is quite similar in eukaryotes and bacteria, the archaeal pathway is more variable. A careful manual curation of genes in this pathway demonstrates the value of manual curation in archaea, even in pathways that have been well-studied in other domains. Results We searched the Integrated Microbial Genome system (IMG) for the 17 distinct genes involved in the 11 steps of de novo purine biosynthesis in 65 sequenced archaea, finding 738 predicted proteins with sequence similarity to known purine biosynthesis enzymes. Each sequence was manually inspected for the presence of active site residues and other residues known or suspected to be required for function. Many apparently purine-biosynthesizing archaea lack evidence for a single enzyme, either glycinamide ribonucleotide formyltransferase or inosine monophosphate cyclohydrolase, suggesting that there are at least two more gene variants in the purine biosynthetic pathway to discover. Variations in domain arrangement of formylglycinamidine ribonucleotide synthetase and substantial problems in aminoimidazole carboxamide ribonucleotide formyltransferase and inosine monophosphate cyclohydrolase assignments were also identified. Manual curation revealed some overly specific annotations in the IMG gene product name, with predicted proteins without essential active site residues assigned product names implying enzymatic activity (21 proteins, 2.8% of proteins inspected) or Enzyme Commission (E. C.) numbers (57 proteins, 7.7%). There were also 57 proteins (7.7%) assigned overly generic names and 78 proteins (10.6%) without E.C. numbers as part of the assigned name when a specific enzyme name and E. C. number were well-justified. Conclusions The patchy distribution of purine biosynthetic genes in archaea is consistent with a pathway that has been shaped by horizontal gene transfer, duplication, and gene loss. Our results indicate that manual curation can improve upon automated annotation for a small number of automatically-annotated proteins and can reveal a need to identify further pathway components even in well-studied pathways. Reviewers This article was reviewed by Dr. Céline Brochier-Armanet, Dr Kira S Makarova (nominated by Dr. Eugene Koonin), and Dr. Michael Galperin.
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Affiliation(s)
- Anne M Brown
- Department of Chemistry, Roanoke College, Salem, VA 24153, USA
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Similarity of genes horizontally acquired by Escherichia coli and Salmonella enterica is evidence of a supraspecies pangenome. Proc Natl Acad Sci U S A 2011; 108:20154-9. [PMID: 22128332 DOI: 10.1073/pnas.1109451108] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Most bacterial and archaeal genomes contain many genes with little or no similarity to other genes, a property that impedes identification of gene origins. By comparing the codon usage of genes shared among strains (primarily vertically inherited genes) and genes unique to one strain (primarily recently horizontally acquired genes), we found that the plurality of unique genes in Escherichia coli and Salmonella enterica are much more similar to each other than are their vertically inherited genes. We conclude that E. coli and S. enterica derive these unique genes from a common source, a supraspecies phylogenetic group that includes the organisms themselves. The phylogenetic range of the sharing appears to include other (but not all) members of the Enterobacteriaceae. We found evidence of similar gene sharing in other bacterial and archaeal taxa. Thus, we conclude that frequent gene exchange, particularly that of genetic novelties, extends well beyond accepted species boundaries.
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17
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The large episomes of Butyrivibrio proteoclasticus B316T have arisen through intragenomic gene shuttling from the chromosome to smaller Butyrivibrio-specific plasmids. Plasmid 2011; 66:67-78. [PMID: 21683735 DOI: 10.1016/j.plasmid.2011.05.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2011] [Revised: 05/05/2011] [Accepted: 05/16/2011] [Indexed: 12/30/2022]
Abstract
The genome of Butyrivibrio proteoclasticus B316(T) contains three large episomes including a 302 kb chromid (BPc2) and two large plasmids of 361 (pCY360) and 186 kb (pCY186). The two plasmids are largely cryptic and it is therefore difficult to gauge their contributions or importance to the biology of B. proteoclasticus. Here, we provide evidence that at least BPc2 and pCY360 are essential as neither could be cured using several previously described curing techniques. We show that BPc2 exists at a copy number of 1, while pCY360 and pCY186 exist at copy numbers of 4 and 0.9, respectively. Yet the transcriptional activities of each episome are much less than that of the 3.5 Mb chromosome. Codon usage analyses did not support the hypothesis that the genes of all three episomes were acquired horizontally. Instead our analyses suggest that the vast majority of genes on each episome were transferred from the 3.5 Mb B. proteoclasticus chromosome. Analysis of their replication origins, however, suggests the plasmid backbones share an evolutionary lineage with the smaller Butyrivibrio specific plasmids, pRJF1 and pRJF2. A survey of 13 species of the Butyrivibrio/Pseudobutyrivibrio assemblage identified similar large episomes in nine strains. DNA hybridization experiments revealed none contained an rRNA operon and only a 145 kb episome from Pseudobutyrivibrioruminis possessed an ortholog of the pCY360 plasmid replication initiation protein. The size and distribution of episomes within the nine strains of Butyrivibrio/Pseudobutyrivibrio showed no correlation with 16S rRNA based phylogeny, leading to a hypothesis that the large episomes of Butyrivibrio spp., have arisen through intragenomic gene transfer events from the chromosome to small horizontally acquired elements.
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18
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Draft genome sequence of Bacteroides vulgatus PC510, a strain isolated from human feces. J Bacteriol 2011; 193:4025-6. [PMID: 21622758 DOI: 10.1128/jb.05256-11] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Although Bacteroides vulgatus is one of the most prevalent microorganisms in the human gastrointestinal tract, little is known about the genetic potential of this species. Here, we describe the annotated draft genome sequence of B. vulgatus PC510 isolated from human feces.
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Yeoman CJ, Yildirim S, Thomas SM, Durkin AS, Torralba M, Sutton G, Buhay CJ, Ding Y, Dugan-Rocha SP, Muzny DM, Qin X, Gibbs RA, Leigh SR, Stumpf R, White BA, Highlander SK, Nelson KE, Wilson BA. Comparative genomics of Gardnerella vaginalis strains reveals substantial differences in metabolic and virulence potential. PLoS One 2010; 5:e12411. [PMID: 20865041 PMCID: PMC2928729 DOI: 10.1371/journal.pone.0012411] [Citation(s) in RCA: 102] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2010] [Accepted: 07/22/2010] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Gardnerella vaginalis is described as a common vaginal bacterial species whose presence correlates strongly with bacterial vaginosis (BV). Here we report the genome sequencing and comparative analyses of three strains of G. vaginalis. Strains 317 (ATCC 14019) and 594 (ATCC 14018) were isolated from the vaginal tracts of women with symptomatic BV, while Strain 409-05 was isolated from a healthy, asymptomatic individual with a Nugent score of 9. PRINCIPAL FINDINGS Substantial genomic rearrangement and heterogeneity were observed that appeared to have resulted from both mobile elements and substantial lateral gene transfer. These genomic differences translated to differences in metabolic potential. All strains are equipped with significant virulence potential, including genes encoding the previously described vaginolysin, pili for cytoadhesion, EPS biosynthetic genes for biofilm formation, and antimicrobial resistance systems, We also observed systems promoting multi-drug and lantibiotic extrusion. All G. vaginalis strains possess a large number of genes that may enhance their ability to compete with and exclude other vaginal colonists. These include up to six toxin-antitoxin systems and up to nine additional antitoxins lacking cognate toxins, several of which are clustered within each genome. All strains encode bacteriocidal toxins, including two lysozyme-like toxins produced uniquely by strain 409-05. Interestingly, the BV isolates encode numerous proteins not found in strain 409-05 that likely increase their pathogenic potential. These include enzymes enabling mucin degradation, a trait previously described to strongly correlate with BV, although commonly attributed to non-G. vaginalis species. CONCLUSIONS Collectively, our results indicate that all three strains are able to thrive in vaginal environments, and therein the BV isolates are capable of occupying a niche that is unique from 409-05. Each strain has significant virulence potential, although genomic and metabolic differences, such as the ability to degrade mucin, indicate that the detection of G. vaginalis in the vaginal tract provides only partial information on the physiological potential of the organism.
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Affiliation(s)
- Carl J. Yeoman
- Institute for Genomic Biology, University of Illinois, Urbana, Illinois, United States of America
| | - Suleyman Yildirim
- Institute for Genomic Biology, University of Illinois, Urbana, Illinois, United States of America
| | - Susan M. Thomas
- Institute for Genomic Biology, University of Illinois, Urbana, Illinois, United States of America
| | - A. Scott Durkin
- J. Craig Venter Institute, Rockville, Maryland, United States of America
| | - Manolito Torralba
- J. Craig Venter Institute, Rockville, Maryland, United States of America
| | - Granger Sutton
- J. Craig Venter Institute, Rockville, Maryland, United States of America
| | - Christian J. Buhay
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Yan Ding
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Shannon P. Dugan-Rocha
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Donna M. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Xiang Qin
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Steven R. Leigh
- Department of Anthropology, University of Illinois, Urbana, Illinois, United States of America
| | - Rebecca Stumpf
- Department of Anthropology, University of Illinois, Urbana, Illinois, United States of America
| | - Bryan A. White
- Institute for Genomic Biology, University of Illinois, Urbana, Illinois, United States of America
- Department of Animal Sciences, University of Illinois, Urbana, Illinois, United States of America
| | - Sarah K. Highlander
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America
| | - Karen E. Nelson
- J. Craig Venter Institute, Rockville, Maryland, United States of America
| | - Brenda A. Wilson
- Institute for Genomic Biology, University of Illinois, Urbana, Illinois, United States of America
- Department of Microbiology, University of Illinois, Urbana, Illinois, United States of America
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