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Crosby KC, Rojas M, Sharma P, Johnson MA, Mazloom R, Kvitko BH, Smits THM, Venter SN, Coutinho TA, Heath LS, Palmer M, Vinatzer BA. Genomic delineation and description of species and within-species lineages in the genus Pantoea. Front Microbiol 2023; 14:1254999. [PMID: 38029109 PMCID: PMC10665919 DOI: 10.3389/fmicb.2023.1254999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 10/10/2023] [Indexed: 12/01/2023] Open
Abstract
As the name of the genus Pantoea ("of all sorts and sources") suggests, this genus includes bacteria with a wide range of provenances, including plants, animals, soils, components of the water cycle, and humans. Some members of the genus are pathogenic to plants, and some are suspected to be opportunistic human pathogens; while others are used as microbial pesticides or show promise in biotechnological applications. During its taxonomic history, the genus and its species have seen many revisions. However, evolutionary and comparative genomics studies have started to provide a solid foundation for a more stable taxonomy. To move further toward this goal, we have built a 2,509-gene core genome tree of 437 public genome sequences representing the currently known diversity of the genus Pantoea. Clades were evaluated for being evolutionarily and ecologically significant by determining bootstrap support, gene content differences, and recent recombination events. These results were then integrated with genome metadata, published literature, descriptions of named species with standing in nomenclature, and circumscriptions of yet-unnamed species clusters, 15 of which we assigned names under the nascent SeqCode. Finally, genome-based circumscriptions and descriptions of each species and each significant genetic lineage within species were uploaded to the LINbase Web server so that newly sequenced genomes of isolates belonging to any of these groups could be precisely and accurately identified.
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Affiliation(s)
- Katherine C. Crosby
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States
| | - Mariah Rojas
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States
| | - Parul Sharma
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States
- Graduate Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, VA, United States
| | - Marcela A. Johnson
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States
- Graduate Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, VA, United States
| | - Reza Mazloom
- Department of Computer Science, Virginia Tech, Blacksburg, VA, United States
| | - Brian H. Kvitko
- Department of Plant Pathology, University of Georgia, Athens, GA, United States
| | - Theo H. M. Smits
- Environmental Genomics and System Biology Research Group, Institute of Natural Resource Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
| | - Stephanus N. Venter
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | - Teresa A. Coutinho
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
- Centre for Microbial Ecology and Genomics, University of Pretoria, Pretoria, South Africa
| | - Lenwood S. Heath
- Department of Computer Science, Virginia Tech, Blacksburg, VA, United States
| | - Marike Palmer
- School of Life Sciences, University of Nevada, Las Vegas, Las Vegas, NV, United States
- Department of Microbiology, University of Manitoba, Winnipeg, MB, Canada
| | - Boris A. Vinatzer
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States
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Dysgonomonas mossii Strain Shenzhen WH 0221, a New Member of the Genus Dysgonomonas Isolated from the Blood of a Patient with Diabetic Nephropathy, Exhibits Multiple Antibiotic Resistance. Microbiol Spectr 2022; 10:e0238121. [PMID: 35913210 PMCID: PMC9431661 DOI: 10.1128/spectrum.02381-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Herein, we present a new bacterial strain isolated from infected blood of a patient with diabetic nephropathy. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry failed to identify the strain. 16S rRNA gene sequencing showed the highest similarity (>99.5%) with genus Dysgonomonas, but the strain could not be distinguished from Dysgonomonas oryzarvi and Dysgonomonas mossii. Whole genome sequencing, followed by phylogenetic analysis and average nucleotide identity (>95%) analysis, confirmed that the new strain represented Dysgonomonas mossii, leading it to be named Dysgonomonas mossii strain Shenzhen WH 0221. Shenzhen WH 0221 was 3.60 Mb with 37.4% GC content. It was Gram-stain negative, facultatively anaerobic, and grown on Columbia agar supplemented with 5% of sheep blood, exhibiting a smooth surface and pinpoint morphology. The morphological characteristics of this strain include a short rod shape without flagella and a size of 0.45-0.55 × 0.95-1.52 μm observed under transmission electron microscopy. The physiological and biochemical features and major cellular fatty acids (characterized by C14:0 3-OH, C14:0 9-CH3, and C16:0) differed from D. mossii CCUG 43457T and other members of the genus Dysgonomonas. The isolate was found resistant to most cephalosporins, penicillin, norfloxacin, vancomycin, and chloramphenicol, but was susceptible to meropenem, imipenem, tetracycline, clindamycin, and amoxicillin-clavulanic acid. Genes kdpE, ykkD, cmeB, TLA-3, and vanRM found in its genome are probably associated with multiple antibiotic resistance. Lipopolysaccharides, capsules, and cytolysin may also help to illuminate its potential pathogenicity. This is the first report of a case of sepsis caused by Dysgonomonas mossii, and its pathogenic system was analyzed by whole genome sequencing. IMPORTANCE This study identified a new strain, Dysgonomonas mossii strain Shenzhen WH 0221, which has been first reported to cause sepsis isolated from infected blood of a patient with diabetic nephropathy. Physiological and biochemical characterizations, as well as overall fatty acid profile, distinguish Shenzhen WH 0221 from other species of the same genus. However, limited antibiotics were researched for Dysgonomonas mossii. Seventeen antibiotics spanning at least 6 classes were studied, providing a valuable guide to the clinical usage of drugs to treat Dysgonomonas mossii infection. For the first time, we report genome-based functional predictions for Dysgonomonas mossii. Five antibiotic resistance ontologies and more than 200 virulence factors likely underlie the multidrug resistance of Shenzhen WH 0221 and its potential pathogenicity.
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Sharma P, Johnson MA, Mazloom R, Allen C, Heath LS, Lowe-Power TM, Vinatzer BA. Meta-analysis of the Ralstonia solanacearum species complex (RSSC) based on comparative evolutionary genomics and reverse ecology. Microb Genom 2022; 8:000791. [PMID: 35297758 PMCID: PMC9176288 DOI: 10.1099/mgen.0.000791] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Ralstonia solanacearum species complex (RSSC) strains are bacteria that colonize plant xylem tissue and cause vascular wilt diseases. However, individual strains vary in host range, optimal disease temperatures and physiological traits. To increase our understanding of the evolution, diversity and biology of the RSSC, we performed a meta-analysis of 100 representative RSSC genomes. These 100 RSSC genomes contain 4940 genes on average, and a pangenome analysis found that there are 3262 genes in the core genome (~60 % of the mean RSSC genome) with 13 128 genes in the extensive flexible genome. A core genome phylogenetic tree and a whole-genome similarity matrix aligned with the previously named species (R. solanacearum, R. pseudosolanacearum, R. syzygii) and phylotypes (I–IV). These analyses also highlighted a third unrecognized sub-clade of phylotype II. Additionally, we identified differences between phylotypes with respect to gene content and recombination rate, and we delineated population clusters based on the extent of horizontal gene transfer. Multiple analyses indicate that phylotype II is the most diverse phylotype, and it may thus represent the ancestral group of the RSSC. We also used our genome-based framework to test whether the RSSC sequence variant (sequevar) taxonomy is a robust method to define within-species relationships of strains. The sequevar taxonomy is based on alignments of a single conserved gene (egl). Although sequevars in phylotype II describe monophyletic groups, the sequevar system breaks down in the highly recombinogenic phylotype I, which highlights the need for an improved, cost-effective method for genotyping strains in phylotype I. Finally, we enabled quick and precise genome-based identification of newly sequenced RSSC strains by assigning Life Identification Numbers (LINs) to the 100 strains and by circumscribing the RSSC and its sub-groups in the LINbase Web service.
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Affiliation(s)
- Parul Sharma
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA
- Graduate Program in Genetics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA, USA
| | - Marcela A. Johnson
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA
- Graduate Program in Genetics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA, USA
| | - Reza Mazloom
- Department of Computer Science, Virginia Tech, Blacksburg, VA, USA
| | - Caitilyn Allen
- Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI, USA
| | - Lenwood S. Heath
- Department of Computer Science, Virginia Tech, Blacksburg, VA, USA
| | - Tiffany M. Lowe-Power
- Department of Plant Pathology, University of California Davis, Davis, CA, USA
- *Correspondence: Tiffany M. Lowe-Power,
| | - Boris A. Vinatzer
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA
- *Correspondence: Boris A. Vinatzer,
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