1
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Ramanan V, Sarkar IN. Augmenting bacterial similarity measures using a graph-based genome representation. mSystems 2024:e0049724. [PMID: 38940518 DOI: 10.1128/msystems.00497-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/05/2024] [Indexed: 06/29/2024] Open
Abstract
Relationships between bacterial taxa are traditionally defined using 16S rRNA nucleotide similarity or average nucleotide identity. Improvements in sequencing technology provide additional pairwise information on genome sequences, which may provide valuable information on genomic relationships. Mapping orthologous gene locations between genome pairs, known as synteny, is typically implemented in the discovery of new species and has not been systematically applied to bacterial genomes. Using a data set of 378 bacterial genomes, we developed and tested a new measure of synteny similarity between a pair of genomes, which was scaled onto 16S rRNA distance using covariance matrices. Based on the input gene functions used (i.e., core, antibiotic resistance, and virulence), we observed varying topological arrangements of bacterial relationship networks by applying (i) complete linkage hierarchical clustering and (ii) K-nearest neighbor graph structures to synteny-scaled 16S data. Our metric improved clustering quality comparatively to state-of-the-art average nucleotide identity metrics while preserving clustering assignments for the highest similarity relationships. Our findings indicate that syntenic relationships provide more granular and interpretable relationships for within-genera taxa compared to pairwise similarity measures, particularly in functional contexts. IMPORTANCE Given the prevalence and necessity of the 16S rRNA measure in bacterial identification and analysis, this additional analysis adds a functional and synteny-based layer to the identification of relatives and clustering of bacteria genomes. It is also of computational interest to model the bacterial genome as a graph structure, which presents new avenues of genomic analysis for bacteria and their closely related strains and species.
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Affiliation(s)
- Vivek Ramanan
- Center of Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Center for Biomedical Informatics, Brown University, Providence, Rhode Island, USA
| | - Indra Neil Sarkar
- Center of Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Center for Biomedical Informatics, Brown University, Providence, Rhode Island, USA
- Rhode Island Quality Institute, Providence, Rhode Island, USA
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2
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Du Y, Han W, Hao P, Hu Y, Hu T, Zeng Y. A Genomics-Based Discovery of Secondary Metabolite Biosynthetic Gene Clusters in the Potential Novel Strain Streptomyces sp. 21So2-11 Isolated from Antarctic Soil. Microorganisms 2024; 12:1228. [PMID: 38930610 PMCID: PMC11205464 DOI: 10.3390/microorganisms12061228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 06/15/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
Streptomyces species are attractive sources of secondary metabolites that serve as major sources of antibiotics and other drugs. In this study, genome mining was used to determine the biosynthetic potential of Streptomyces sp. 21So2-11 isolated from Antarctic soil. 16S rRNA gene sequencing revealed that this strain is most closely related to Streptomyces drozdowiczii NBRC 101007T, with a similarity of 98.02%. Genome comparisons based on average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) showed that strain 21So2-11 represents a novel species of the genus Streptomyces. In addition to a large number of genes related to environmental adaptation and ecological function, a total of 28 putative biosynthetic gene clusters (BGCs) responsible for the biosynthesis of known and/or novel secondary metabolites, including terpenes, lantipeptides, polyketides, nonribosomal peptides, RiPPs and siderophores, were detected in the genome of strain 21So2-11. In addition, a total of 1456 BGCs were predicted to contribute to the biosynthesis of more than 300 secondary metabolites based on the genomes of 47 Streptomyces strains originating from polar regions. The results indicate the potential of Streptomyces sp. 21So2-11 for bioactive secondary metabolite production and are helpful for understanding bacterial adaptability and ecological function in cold terrestrial environments.
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Affiliation(s)
- Yu Du
- Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China; (Y.D.); (W.H.); (P.H.); (Y.H.); (T.H.)
| | - Wei Han
- Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China; (Y.D.); (W.H.); (P.H.); (Y.H.); (T.H.)
| | - Puyu Hao
- Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China; (Y.D.); (W.H.); (P.H.); (Y.H.); (T.H.)
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Yongqiang Hu
- Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China; (Y.D.); (W.H.); (P.H.); (Y.H.); (T.H.)
| | - Ting Hu
- Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China; (Y.D.); (W.H.); (P.H.); (Y.H.); (T.H.)
| | - Yinxin Zeng
- Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China; (Y.D.); (W.H.); (P.H.); (Y.H.); (T.H.)
- School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China
- Antarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai 200136, China
- Shanghai Key Laboratory of Polar Life and Environment Sciences, Shanghai Jiao Tong University, Shanghai 200030, China
- Key Laboratory of Polar Ecosystem and Climate Change, Shanghai Jiao Tong University, Ministry of Education, Shanghai 200030, China
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3
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Toth R, Ilic AM, Huettel B, Duduk B, Kube M. Divergence within the Taxon ' Candidatus Phytoplasma asteris' Confirmed by Comparative Genome Analysis of Carrot Strains. Microorganisms 2024; 12:1016. [PMID: 38792845 PMCID: PMC11123874 DOI: 10.3390/microorganisms12051016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/30/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
Phytoplasmas are linked to diseases in hundreds of economically important crops, including carrots. In carrots, phytoplasmosis is associated with leaf chlorosis and necrosis, coupled with inhibited root system development, ultimately leading to significant economic losses. During a field study conducted in Baden-Württemberg (Germany), two strains of the provisional taxon 'Candidatus Phytoplasma asteris' were identified within a carrot plot. For further analysis, strains M8 and M33 underwent shotgun sequencing, utilising single-molecule-real-time (SMRT) long-read sequencing and sequencing-by-synthesis (SBS) paired-end short-read sequencing techniques. Hybrid assemblies resulted in complete de novo assemblies of two genomes harboring circular chromosomes and two plasmids. Analyses, including average nucleotide identity and sequence comparisons of established marker genes, confirmed the phylogenetic divergence of 'Ca. P. asteris' and a different assignment of strains to the 16S rRNA subgroup I-A for M33 and I-B for M8. These groups exhibited unique features, encompassing virulence factors and genes, associated with the mobilome. In contrast, pan-genome analysis revealed a highly conserved gene set related to metabolism across these strains. This analysis of the Aster Yellows (AY) group reaffirms the perception of phytoplasmas as bacteria that have undergone extensive genome reduction during their co-evolution with the host and an increase of genome size by mobilome.
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Affiliation(s)
- Rafael Toth
- Department of Integrative Infection Biology Crops-Livestock, University of Hohenheim, 70599 Stuttgart, Germany; (R.T.); (A.-M.I.)
| | - Anna-Marie Ilic
- Department of Integrative Infection Biology Crops-Livestock, University of Hohenheim, 70599 Stuttgart, Germany; (R.T.); (A.-M.I.)
| | | | - Bojan Duduk
- Institute of Pesticides and Environmental Protection, 11080 Belgrade, Serbia;
| | - Michael Kube
- Department of Integrative Infection Biology Crops-Livestock, University of Hohenheim, 70599 Stuttgart, Germany; (R.T.); (A.-M.I.)
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4
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Zhang L, Lin TY, Liu WT, Ling F. Toward Characterizing Environmental Sources of Non-tuberculous Mycobacteria (NTM) at the Species Level: A Tutorial Review of NTM Phylogeny and Phylogenetic Classification. ACS ENVIRONMENTAL AU 2024; 4:127-141. [PMID: 38765059 PMCID: PMC11100324 DOI: 10.1021/acsenvironau.3c00074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/27/2024] [Accepted: 01/29/2024] [Indexed: 05/21/2024]
Abstract
Nontuberculous mycobacteria (NTM) are any mycobacteria that do not cause tuberculosis or leprosy. While the majority of NTM are harmless and some of them are considered probiotic, a growing number of people are being diagnosed with NTM infections. Therefore, their detection in the environment is of interest to clinicians, environmental microbiologists, and water quality researchers alike. This review provides a tutorial on the foundational approaches for taxonomic classifications, with a focus on the phylogenetic relationships among NTM revealed by the 16S rRNA gene, rpoB gene, and hsp65 gene, and by genome-based approaches. Recent updates on the Mycobacterium genus taxonomy are also provided. A synthesis on the habitats of 189 mycobacterial species in a genome-based taxonomy framework was performed, with attention paid to environmental sources (e.g., drinking water, aquatic environments, and soil). The 16S rRNA gene-based classification accuracy for various regions was evaluated (V3, V3-V4, V3-V5, V4, V4-V5, and V1-V9), revealing overall excellent genus-level classification (up to 100% accuracy) yet only modest performance (up to 63.5% accuracy) at the species level. Future research quantifying NTM species in water systems, determining the effects of water treatment and plumbing conditions on their variations, developing high throughput species-level characterization tools for use in the environment, and incorporating the characterization of functions in a phylogenetic framework will likely fill critical knowledge gaps. We believe this tutorial will be useful for researchers new to the field of molecular or genome-based taxonomic profiling of environmental microbiomes. Experts may also find this review useful in terms of the selected key findings of the past 30 years, recent updates on phylogenomic analyses, as well as a synthesis of the ecology of NTM in a phylogenetic framework.
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Affiliation(s)
- Lin Zhang
- Department
of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Tzu-Yu Lin
- Department
of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Wen-Tso Liu
- Department
of Civil and Environmental Engineering, University of Illinois, Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Fangqiong Ling
- Department
of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
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5
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Tian Q, Zhang P, Zhai Y, Wang Y, Zou Q. Application and Comparison of Machine Learning and Database-Based Methods in Taxonomic Classification of High-Throughput Sequencing Data. Genome Biol Evol 2024; 16:evae102. [PMID: 38748485 PMCID: PMC11135637 DOI: 10.1093/gbe/evae102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2024] [Indexed: 05/30/2024] Open
Abstract
The advent of high-throughput sequencing technologies has not only revolutionized the field of bioinformatics but has also heightened the demand for efficient taxonomic classification. Despite technological advancements, efficiently processing and analyzing the deluge of sequencing data for precise taxonomic classification remains a formidable challenge. Existing classification approaches primarily fall into two categories, database-based methods and machine learning methods, each presenting its own set of challenges and advantages. On this basis, the aim of our study was to conduct a comparative analysis between these two methods while also investigating the merits of integrating multiple database-based methods. Through an in-depth comparative study, we evaluated the performance of both methodological categories in taxonomic classification by utilizing simulated data sets. Our analysis revealed that database-based methods excel in classification accuracy when backed by a rich and comprehensive reference database. Conversely, while machine learning methods show superior performance in scenarios where reference sequences are sparse or lacking, they generally show inferior performance compared with database methods under most conditions. Moreover, our study confirms that integrating multiple database-based methods does, in fact, enhance classification accuracy. These findings shed new light on the taxonomic classification of high-throughput sequencing data and bear substantial implications for the future development of computational biology. For those interested in further exploring our methods, the source code of this study is publicly available on https://github.com/LoadStar822/Genome-Classifier-Performance-Evaluator. Additionally, a dedicated webpage showcasing our collected database, data sets, and various classification software can be found at http://lab.malab.cn/~tqz/project/taxonomic/.
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Affiliation(s)
- Qinzhong Tian
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003 China
| | - Pinglu Zhang
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003 China
| | - Yixiao Zhai
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003 China
| | - Yansu Wang
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003 China
| | - Quan Zou
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003 China
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6
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Malhotra M, Bello S, Gupta RS. Phylogenomic and molecular markers based studies on clarifying the evolutionary relationships among Peptoniphilus species. Identification of several Genus-Level clades of Peptoniphilus species and transfer of some Peptoniphilus species to the genus Aedoeadaptatus. Syst Appl Microbiol 2024; 47:126499. [PMID: 38428338 DOI: 10.1016/j.syapm.2024.126499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/03/2024]
Abstract
To clarify the evolutionary relationships among Peptoniphilus species, whose members show association with increased risk for prostate cancer, detailed phylogenomic and comparative analyses were conducted on their genome sequences. In phylogenetic trees based on core genome proteins and 16S rRNA gene sequences, Peptoniphilus species formed eight distinct clades, with Aedoeadaptatus and Anaerosphaera species branching between them. The observed clades designated as Peptoniphilus sensu stricto (encompassing its type species), Harei, Lacrimalis, Duerdenii, Mikwangii, Stercorisuis, Catoniae and Aedoeadaptatus, show genus level divergence based on 16S rRNA similarity and average amino acid identity (AAI). The Genome Taxonomy Database also assigns most of these clades to distinct taxa. Several Peptoniphilus species (viz. P. coxii, P. ivorii, P. nemausensis and some non-validly published species) grouped reliably with the type species of Aedoeadaptatus (A. acetigenes) and are affiliated to this genus based on 16S rRNA similarity, AAI, and multiple uniquely shared molecular signatures. Hence, we are proposing the transfer of these species into the emended genus Aedoeadaptatus. Our analyses on protein sequences from Peptoniphilus genomes have also identified 54 novel molecular markers consisting of conserved signature indels (CSIs), which are specific for different Peptoniphilus species clades and provide reliable means for their demarcation in molecular terms. Lastly, we also show that based on the shared presence of these CSIs in the genomes of uncharacterized Peptoniphilus spp. (cultured and uncultured), their affiliations to the specific Peptoniphilus clades can be accurately predicted. These results should prove useful in understanding the potential involvement of Peptoniphilus-related species in diseases.
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Affiliation(s)
- Megha Malhotra
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario L8N 3Z5, Canada
| | - Sarah Bello
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario L8N 3Z5, Canada
| | - Radhey S Gupta
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario L8N 3Z5, Canada.
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7
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McDonald D, Jiang Y, Balaban M, Cantrell K, Zhu Q, Gonzalez A, Morton JT, Nicolaou G, Parks DH, Karst SM, Albertsen M, Hugenholtz P, DeSantis T, Song SJ, Bartko A, Havulinna AS, Jousilahti P, Cheng S, Inouye M, Niiranen T, Jain M, Salomaa V, Lahti L, Mirarab S, Knight R. Greengenes2 unifies microbial data in a single reference tree. Nat Biotechnol 2024; 42:715-718. [PMID: 37500913 PMCID: PMC10818020 DOI: 10.1038/s41587-023-01845-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/25/2023] [Indexed: 07/29/2023]
Abstract
Studies using 16S rRNA and shotgun metagenomics typically yield different results, usually attributed to PCR amplification biases. We introduce Greengenes2, a reference tree that unifies genomic and 16S rRNA databases in a consistent, integrated resource. By inserting sequences into a whole-genome phylogeny, we show that 16S rRNA and shotgun metagenomic data generated from the same samples agree in principal coordinates space, taxonomy and phenotype effect size when analyzed with the same tree.
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Affiliation(s)
- Daniel McDonald
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Yueyu Jiang
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Metin Balaban
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Kalen Cantrell
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Qiyun Zhu
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Biodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, USA
| | - Antonio Gonzalez
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - James T Morton
- Biostatistics & Bioinformatics Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Giorgia Nicolaou
- Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA, USA
| | - Donovan H Parks
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Søren M Karst
- Department of Obstetrics and Gynecology, Columbia University, New York, NY, USA
| | - Mads Albertsen
- Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark
| | - Philip Hugenholtz
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Todd DeSantis
- Department of Informatics, Second Genome, Brisbane, CA, USA
| | - Se Jin Song
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Andrew Bartko
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Aki S Havulinna
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, FIMM-HiLIFE, Helsinki, Finland
| | | | - Susan Cheng
- Division of Cardiology, Brigham and Women's Hospital, Boston, MA, USA
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Teemu Niiranen
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Division of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Mohit Jain
- Sapient Bioanalytics, LLC, San Diego, CA, USA
| | - Veikko Salomaa
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Leo Lahti
- Department of Computing, University of Turku, Turku, Finland
| | - Siavash Mirarab
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA.
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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8
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van der Gulik PTS, Hoff WD, Speijer D. The contours of evolution: In defence of Darwin's tree of life paradigm. Bioessays 2024; 46:e2400012. [PMID: 38436469 DOI: 10.1002/bies.202400012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/12/2024] [Accepted: 02/15/2024] [Indexed: 03/05/2024]
Abstract
Both the concept of a Darwinian tree of life (TOL) and the possibility of its accurate reconstruction have been much criticized. Criticisms mostly revolve around the extensive occurrence of lateral gene transfer (LGT), instances of uptake of complete organisms to become organelles (with the associated subsequent gene transfer to the nucleus), as well as the implications of more subtle aspects of the biological species concept. Here we argue that none of these criticisms are sufficient to abandon the valuable TOL concept and the biological realities it captures. Especially important is the need to conceptually distinguish between organismal trees and gene trees, which necessitates incorporating insights of widely occurring LGT into modern evolutionary theory. We demonstrate that all criticisms, while based on important new findings, do not invalidate the TOL. After considering the implications of these new insights, we find that the contours of evolution are best represented by a TOL.
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Affiliation(s)
| | - Wouter D Hoff
- Department of Microbiology and Molecular Genetics, Oklahoma State University, Stillwater, Oklahoma, USA
| | - Dave Speijer
- Department of Medical Biochemistry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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9
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Caetano-Anollés K, Aziz MF, Mughal F, Caetano-Anollés G. On Protein Loops, Prior Molecular States and Common Ancestors of Life. J Mol Evol 2024:10.1007/s00239-024-10167-y. [PMID: 38652291 DOI: 10.1007/s00239-024-10167-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/22/2024] [Indexed: 04/25/2024]
Abstract
The principle of continuity demands the existence of prior molecular states and common ancestors responsible for extant macromolecular structure. Here, we focus on the emergence and evolution of loop prototypes - the elemental architects of protein domain structure. Phylogenomic reconstruction spanning superkingdoms and viruses generated an evolutionary chronology of prototypes with six distinct evolutionary phases defining a most parsimonious evolutionary progression of cellular life. Each phase was marked by strategic prototype accumulation shaping the structures and functions of common ancestors. The last universal common ancestor (LUCA) of cells and viruses and the last universal cellular ancestor (LUCellA) defined stem lines that were structurally and functionally complex. The evolutionary saga highlighted transformative forces. LUCA lacked biosynthetic ribosomal machinery, while the pivotal LUCellA lacked essential DNA biosynthesis and modern transcription. Early proteins therefore relied on RNA for genetic information storage but appeared initially decoupled from it, hinting at transformative shifts of genetic processing. Urancestral loop types suggest advanced folding designs were present at an early evolutionary stage. An exploration of loop geometric properties revealed gradual replacement of prototypes with α-helix and β-strand bracing structures over time, paving the way for the dominance of other loop types. AlphFold2-generated atomic models of prototype accretion described patterns of fold emergence. Our findings favor a ‛processual' model of evolving stem lines aligned with Woese's vision of a communal world. This model prompts discussing the 'problem of ancestors' and the challenges that lie ahead for research in taxonomy, evolution and complexity.
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Affiliation(s)
- Kelsey Caetano-Anollés
- Evolutionary Bioinformatics Laboratory, Department of Crop Sciences and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Callout Biotech, Albuquerque, NM, 87112, USA
| | - M Fayez Aziz
- Evolutionary Bioinformatics Laboratory, Department of Crop Sciences and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Fizza Mughal
- Evolutionary Bioinformatics Laboratory, Department of Crop Sciences and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Gustavo Caetano-Anollés
- Evolutionary Bioinformatics Laboratory, Department of Crop Sciences and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
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10
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Bartoš O, Chmel M, Swierczková I. The overlooked evolutionary dynamics of 16S rRNA revises its role as the "gold standard" for bacterial species identification. Sci Rep 2024; 14:9067. [PMID: 38643216 PMCID: PMC11032355 DOI: 10.1038/s41598-024-59667-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 04/12/2024] [Indexed: 04/22/2024] Open
Abstract
The role of 16S rRNA has been and largely remains crucial for the identification of microbial organisms. Although 16S rRNA could certainly be described as one of the most studied sequences ever, the current view of it remains somewhat ambiguous. While some consider 16S rRNA to be a variable marker with resolution power down to the strain level, others consider them to be living fossils that carry information about the origin of domains of cellular life. We show that 16S rRNA is clearly an evolutionarily very rigid sequence, making it a largely unique and irreplaceable marker, but its applicability beyond the genus level is highly limited. Interestingly, it seems that the evolutionary rigidity is not driven by functional constraints of the sequence (RNA-protein interactions), but rather results from the characteristics of the host organism. Our results suggest that, at least in some lineages, Horizontal Gene Transfer (HGT) within genera plays an important role for the evolutionary non-dynamics (stasis) of 16S rRNA. Such genera exhibit an apparent lack of diversification at the 16S rRNA level in comparison to the rest of a genome. However, why it is limited specifically and solely to 16S rRNA remains enigmatic.
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Affiliation(s)
- Oldřich Bartoš
- Military Health Institute, Military Medical Agency, 16200, Prague, Czech Republic.
| | - Martin Chmel
- Military Health Institute, Military Medical Agency, 16200, Prague, Czech Republic
- Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, 12108, Prague, Czech Republic
| | - Iva Swierczková
- Military Health Institute, Military Medical Agency, 16200, Prague, Czech Republic
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11
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Deng TH, Zhang Y, Zhang WW, Su Y, Gao JW, Ying JJ, Xu L, Xia XM, Sun C. Marinobacter albus sp. nov., Isolated from Sand Sediment in a Coastal Intertidal Zone. Curr Microbiol 2024; 81:138. [PMID: 38609554 DOI: 10.1007/s00284-024-03676-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 03/24/2024] [Indexed: 04/14/2024]
Abstract
A Gram-stain-negative bacterium with a rod-to-ovoid shape, named strain M216T, was isolated from sand sediment from the coastal intertidal zone of Huludao, Liaoning Province, China. Growth was observed at 8-40 °C (optimal, 30 °C), pH 5.5-9.5 (optimal, pH 6.5) and 0.5-14.0% (w/v) NaCl (optimal, 6%). Strain M216T possessed ubiquinone-9 as its sole respiratory quinone and phosphatidylethanolamine, diphosphatidylglycerol, phosphatidylglycerol, one unidentified aminophosphoglycolipid, one unidentified aminophospholipid, two unidentified phosphoglycolipids, three unidentified phospholipids and three unidentified glycolipids as the main polar lipids. C12:0, C16:0, C12:0 3-OH, C16:1 ω9c, C18:1 ω9c and summed features 3 (C16:1 ω7c and/or C16:1 ω6c) were the major fatty acids (> 5%). The 16S rRNA gene sequence of strain M216T exhibited high similarity to those of 'Marinobacter arenosus' CAU 1620T and Marinobacter adhaerens HP15T (99.3% and 98.5%, respectively) and less than 98.5% similarity to those of the other type strains. The ANI and dDDH values between the strain M216T and 'Marinobacter arenosus' CAU 1620T were 87.4% and 33.3%, respectively; these values were the highest among the other type strains but lower than the species threshold. The G+C content of strain M216T was 58.3%. Genomic analysis revealed that strain M216T harbors the major CAZymes of GH13, GH23, GH73, and PL5, which are responsible for polysaccharide degradation and the potential ability to reduce nitrate to ammonia. Through phenotypic, genotypic, and chemotaxonomic analyses, we proposed the name Marinobacter albus sp. nov., a novel species in the genus Marinobacter, with its type strain M216T (= MCCC 1K08600T = KCTC 82894T).
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Affiliation(s)
- Tai-Hang Deng
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, People's Republic of China
- Zhejiang Sci-Tech University Shaoxing Academy of Biomedicine Co., Ltd., Shaoxing, 312369, People's Republic of China
| | - Yu Zhang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, People's Republic of China
- Zhejiang Sci-Tech University Shaoxing Academy of Biomedicine Co., Ltd., Shaoxing, 312369, People's Republic of China
| | - Wen-Wu Zhang
- Trend Biotech Co., Ltd., Hangzhou, 311121, People's Republic of China
| | - Yue Su
- Trend Biotech Co., Ltd., Hangzhou, 311121, People's Republic of China
| | - Jia-Wei Gao
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, People's Republic of China
- Zhejiang Sci-Tech University Shaoxing Academy of Biomedicine Co., Ltd., Shaoxing, 312369, People's Republic of China
| | - Jun-Jie Ying
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, People's Republic of China
- Zhejiang Sci-Tech University Shaoxing Academy of Biomedicine Co., Ltd., Shaoxing, 312369, People's Republic of China
| | - Lin Xu
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, People's Republic of China
- Zhejiang Sci-Tech University Shaoxing Academy of Biomedicine Co., Ltd., Shaoxing, 312369, People's Republic of China
| | - Xiao-Ming Xia
- Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, People's Republic of China
| | - Cong Sun
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, People's Republic of China.
- Zhejiang Sci-Tech University Shaoxing Academy of Biomedicine Co., Ltd., Shaoxing, 312369, People's Republic of China.
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12
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Jiang F, Ruan Y, Chen XH, Yu HL, Cheng T, Duan XY, Liu YG, Zhang HY, Zhang QY. Metabolites of pathogenic microorganisms database (MPMdb) and its seed metabolite applications. Microbiol Spectr 2024; 12:e0234223. [PMID: 38391229 PMCID: PMC10986615 DOI: 10.1128/spectrum.02342-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 01/23/2024] [Indexed: 02/24/2024] Open
Abstract
Seed metabolites are the combination of essential compounds required by an organism across various potential environmental conditions. The seed metabolites screening framework based on the network topology approach can capture important biological information of species. This study aims to identify comprehensively the relationship between seed metabolites and pathogenic bacteria. A large-scale data set was compiled, describing the seed metabolite sets and metabolite sets of 124,192 pathogenic strains from 34 genera, by constructing genome-scale metabolic models. The enrichment analysis method was used to screen the specific seed metabolites of each species/genus of pathogenic bacteria. The metabolites of pathogenic microorganisms database (MPMdb) (http://qyzhanglab.hzau.edu.cn/MPMdb/) was established for browsing, searching, predicting, or downloading metabolites and seed metabolites of pathogenic microorganisms. Based on the MPMdb, taxonomic and phylogenetic analyses of pathogenic bacteria were performed according to the function of seed metabolites and metabolites. The results showed that the seed metabolites could be used as a feature for microorganism chemotaxonomy, and they could mirror the phylogeny of pathogenic bacteria. In addition, our screened specific seed metabolites of pathogenic bacteria can be used not only for further tapping the nutritional resources and identifying auxotrophies of pathogenic bacteria but also for designing targeted bactericidal compounds by combining with existing antimicrobial agents.IMPORTANCEMetabolites serve as key communication links between pathogenic microorganisms and hosts, with seed metabolites being crucial for microbial growth, reproduction, external communication, and host infection. However, the large-scale screening of metabolites and the identification of seed metabolites have always been the main technical bottleneck due to the low throughput and costly analysis. Genome-scale metabolic models have become a recognized research paradigm to investigate the metabolic characteristics of species. The developed metabolites of pathogenic microorganisms database in this study is committed to systematically predicting and identifying the metabolites and seed metabolites of pathogenic microorganisms, which could provide a powerful resource platform for pathogenic bacteria research.
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Affiliation(s)
- Feng Jiang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Yao Ruan
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Xiao-Hui Chen
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Hai-Long Yu
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Ting Cheng
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Xin-Ya Duan
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Yan-Guang Liu
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Hong-Yu Zhang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Qing-Ye Zhang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
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13
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Fry M. The discovery of archaea: from observed anomaly to consequential restructuring of the phylogenetic tree. HISTORY AND PHILOSOPHY OF THE LIFE SCIENCES 2024; 46:16. [PMID: 38530473 PMCID: PMC10965645 DOI: 10.1007/s40656-024-00616-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 02/14/2024] [Indexed: 03/28/2024]
Abstract
Observational and experimental discoveries of new factual entities such as objects, systems, or processes, are major contributors to some advances in the life sciences. Yet, whereas discovery of theories was extensively deliberated by philosophers of science, very little philosophical attention was paid to the discovery of factual entities. This paper examines historical and philosophical aspects of the experimental discovery by Carl Woese of archaea, prokaryotes that comprise one of the three principal domains of the phylogenetic tree. Borrowing Kuhn's terminology, this discovery of a major biological entity was made during a 'normal science' project of building molecular taxonomy for prokaryotes. Unexpectedly, however, an observed anomaly instigated the discovery of archaea. Substantiation of the existence of the new archaeal entity and consequent reconstruction of the phylogenetic tree prompted replacement of a long-held model of a prokarya and eukarya bipartite tree of life by a new model of a tripartite tree comprising of bacteria, archaea, and eukarya. This paper explores the history and philosophical implications of the progression of Woese's project from normal science to anomaly-instigated model-changing discovery. It is also shown that the consequential discoveries of RNA splicing and of ribozymes were similarly prompted by unexpected irregularities during normal science activities. It is thus submitted that some discoveries of factual biological entities are triggered by unforeseen observational or experimental anomalies.
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Affiliation(s)
- Michael Fry
- Department of Biochemistry, Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Efron St., Bat Galim, POB 9649, Haifa, 31096, Israel.
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14
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Gomez-Chavarria DA, Rua-Giraldo AL, Alzate JF. An evolutionary view of the Fusarium core genome. BMC Genomics 2024; 25:304. [PMID: 38519886 PMCID: PMC10958916 DOI: 10.1186/s12864-024-10200-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/08/2024] [Indexed: 03/25/2024] Open
Abstract
Fusarium, a member of the Ascomycota fungi, encompasses several pathogenic species significant to plants and animals. Some phytopathogenic species have received special attention due to their negative economic impact on the agricultural industry around the world. Traditionally, identification and taxonomic analysis of Fusarium have relied on morphological and phenotypic features, including the fungal host, leading to taxonomic conflicts that have been solved using molecular systematic technologies. In this work, we applied a phylogenomic approach that allowed us to resolve the evolutionary history of the species complexes of the genus and present evidence that supports the F. ventricosum species complex as the most basal lineage of the genus. Additionally, we present evidence that proposes modifications to the previous hypothesis of the evolutionary history of the F. staphyleae, F. newnesense, F. nisikadoi, F. oxysporum, and F. fujikuroi species complexes. Evolutionary analysis showed that the genome GC content tends to be lower in more modern lineages, in both, the whole-genome and core-genome coding DNA sequences. In contrast, genome size gain and losses are present during the evolution of the genus. Interestingly, core genome duplication events positively correlate with genome size. Evolutionary and genome conservation analysis supports the F3 hypothesis of Fusarium as a more compact and conserved group in terms of genome conservation. By contrast, outside of the F3 hypothesis, the most basal clades only share 8.8% of its genomic sequences with the F3 clade.
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Affiliation(s)
- Daniel A Gomez-Chavarria
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Centro Nacional de Secuenciación Genómica - CNSG, Sede de Investigación Universitaria (SIU), Universidad de Antioquia, Carrera 53 No. 61-30 Lab. 510, Medellín, Colombia
| | | | - Juan F Alzate
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Centro Nacional de Secuenciación Genómica - CNSG, Sede de Investigación Universitaria (SIU), Universidad de Antioquia, Carrera 53 No. 61-30 Lab. 510, Medellín, Colombia.
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15
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Cernooka E, Dislers A, Kazaks A. Revisiting host identification of bacteriophage Enc34: from biochemical to molecular. J Virol 2024; 98:e0173123. [PMID: 38329345 PMCID: PMC10949441 DOI: 10.1128/jvi.01731-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/10/2024] [Indexed: 02/09/2024] Open
Abstract
In our 2012 genome announcement (J Virol 86:11403-11404, 2012, https://doi.org/10.1128/JVI.01954-12), we initially identified the host bacterium of bacteriophage Enc34 as Enterobacter cancerogenus using biochemical tests. However, later in-house DNA sequencing revealed that the true host is a strain of Hafnia alvei. Capitalizing on our new DNA-sequencing capabilities, we also refined the genomic termini of Enc34, confirming a 60,496-bp genome with 12-nucleotide 5' cohesive ends. IMPORTANCE Our correction reflects the evolving landscape of bacterial identification, where molecular methods have supplanted traditional biochemical tests. This case underscores the significance of revisiting past identifications, as seemingly known bacterial strains may yield unexpected discoveries, necessitating essential updates to the scientific record. Despite the host identity correction, our genome announcement retains importance as the first complete genome sequence of a Hafnia alvei bacteriophage.
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Affiliation(s)
- Elina Cernooka
- Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Andris Dislers
- Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Andris Kazaks
- Latvian Biomedical Research and Study Centre, Riga, Latvia
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16
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Riesco R, Trujillo ME. Update on the proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. Int J Syst Evol Microbiol 2024; 74. [PMID: 38512750 DOI: 10.1099/ijsem.0.006300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024] Open
Abstract
The field of microbial taxonomy is dynamic, aiming to provide a stable and contemporary classification system for prokaryotes. Traditionally, reliance on phenotypic characteristics limited the comprehensive understanding of microbial diversity and evolution. The introduction of molecular techniques, particularly DNA sequencing and genomics, has transformed our perception of prokaryotic diversity. In the past two decades, advancements in genome sequencing have transitioned from traditional methods to a genome-based taxonomic framework, not only to define species, but also higher taxonomic ranks. As technology and databases rapidly expand, maintaining updated standards is crucial. This work seeks to revise the 2018 guidelines for applying genome sequencing data in microbial taxonomy, adapting minimal standards and recommendations to reflect technological progress during this period.
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Affiliation(s)
- Raúl Riesco
- Departamento de Microbiología y Genética, Campus Miguel de Unamuno, University of Salamanca, 37007 Salamanca, Spain
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Martha E Trujillo
- Departamento de Microbiología y Genética, Campus Miguel de Unamuno, University of Salamanca, 37007 Salamanca, Spain
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17
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Barrenechea Angeles I, Nguyen NL, Greco M, Tan KS, Pawlowski J. Assigning the unassigned: A signature-based classification of rDNA metabarcodes reveals new deep-sea diversity. PLoS One 2024; 19:e0298440. [PMID: 38422100 PMCID: PMC10903905 DOI: 10.1371/journal.pone.0298440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 01/23/2024] [Indexed: 03/02/2024] Open
Abstract
Environmental DNA metabarcoding reveals a vast genetic diversity of marine eukaryotes. Yet, most of the metabarcoding data remain unassigned due to the paucity of reference databases. This is particularly true for the deep-sea meiofauna and eukaryotic microbiota, whose hidden diversity is largely unexplored. Here, we tackle this issue by using unique DNA signatures to classify unknown metabarcodes assigned to deep-sea foraminifera. We analyzed metabarcoding data obtained from 311 deep-sea sediment samples collected in the Clarion-Clipperton Fracture Zone, an area of potential polymetallic nodule exploitation in the Eastern Pacific Ocean. Using the signatures designed in the 37F hypervariable region of the 18S rRNA gene, we were able to classify 802 unassigned metabarcodes into 61 novel lineages, which have been placed in 27 phylogenetic clades. The comparison of new lineages with other foraminiferal datasets shows that most novel lineages are widely distributed in the deep sea. Five lineages are also present in the shallow-water datasets; however, phylogenetic analysis of these lineages separates deep-sea and shallow-water metabarcodes except in one case. While the signature-based classification does not solve the problem of gaps in reference databases, this taxonomy-free approach provides insight into the distribution and ecology of deep-sea species represented by unassigned metabarcodes, which could be useful in future applications of metabarcoding for environmental monitoring.
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Affiliation(s)
- Inès Barrenechea Angeles
- Department of Earth Sciences, University of Geneva, Geneva, Switzerland
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
- Department of Geosciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - Ngoc-Loi Nguyen
- Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland
| | - Mattia Greco
- Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland
- Institute of Marine Sciences, Spanish National Research Council, Barcelona, Spain
| | - Koh Siang Tan
- Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore
| | - Jan Pawlowski
- Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland
- ID-Gene Ecodiagnostics Ltd., Plan-les-Ouates, Switzerland
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18
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Iqbal S, Begum F, Ullah I, Jalal N, Shaw P. Peeling off the layers from microbial dark matter (MDM): recent advances, future challenges, and opportunities. Crit Rev Microbiol 2024:1-21. [PMID: 38385313 DOI: 10.1080/1040841x.2024.2319669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 02/10/2024] [Indexed: 02/23/2024]
Abstract
Microbes represent the most common organisms on Earth; however, less than 2% of microbial species in the environment can undergo cultivation for study under laboratory conditions, and the rest of the enigmatic, microbial world remains mysterious, constituting a kind of "microbial dark matter" (MDM). In the last two decades, remarkable progress has been made in culture-dependent and culture-independent techniques. More recently, studies of MDM have relied on culture-independent techniques to recover genetic material through either unicellular genomics or shotgun metagenomics to construct single-amplified genomes (SAGs) and metagenome-assembled genomes (MAGs), respectively, which provide information about evolution and metabolism. Despite the remarkable progress made in the past decades, the functional diversity of MDM still remains uncharacterized. This review comprehensively summarizes the recently developed culture-dependent and culture-independent techniques for characterizing MDM, discussing major challenges, opportunities, and potential applications. These activities contribute to expanding our knowledge of the microbial world and have implications for various fields including Biotechnology, Bioprospecting, Functional genomics, Medicine, Evolutionary and Planetary biology. Overall, this review aims to peel off the layers from MDM, shed light on recent advancements, identify future challenges, and illuminate the exciting opportunities that lie ahead in unraveling the secrets of this intriguing microbial realm.
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Affiliation(s)
- Sajid Iqbal
- Oujiang Lab (Zhejiang Laboratory for Regenerative Medicine, Vision, and Brain Health), Wenzhou, China
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, China
| | - Farida Begum
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Ihsan Ullah
- College of Chemical Engineering, Fuzhou University, Fuzhou, China
| | - Nasir Jalal
- Oujiang Lab (Zhejiang Laboratory for Regenerative Medicine, Vision, and Brain Health), Wenzhou, China
| | - Peter Shaw
- Oujiang Lab (Zhejiang Laboratory for Regenerative Medicine, Vision, and Brain Health), Wenzhou, China
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19
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Soh M, Tay YC, Lee CS, Low A, Orban L, Jaafar Z, Seedorf H. The intestinal digesta microbiota of tropical marine fish is largely uncultured and distinct from surrounding water microbiota. NPJ Biofilms Microbiomes 2024; 10:11. [PMID: 38374184 PMCID: PMC10876542 DOI: 10.1038/s41522-024-00484-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 02/06/2024] [Indexed: 02/21/2024] Open
Abstract
Studying the gut microbes of marine fishes is an important part of conservation as many fish species are increasingly threatened by extinction. The gut microbiota of only a small fraction of the more than 32,000 known fish species has been investigated. In this study we analysed the intestinal digesta microbiota composition of more than 50 different wild fish species from tropical waters. Our results show that the fish harbour intestinal digesta microbiota that are distinct from that of the surrounding water and that location, domestication status, and host intrinsic factors are strongly associated with the microbiota composition. Furthermore, we show that the vast majority (~97%) of the fish-associated microorganisms do not have any cultured representative. Considering the impact of the microbiota on host health and physiology, these findings underpin the call to also preserve the microbiota of host species, especially those that may be exposed to habitat destruction.
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Affiliation(s)
- Melissa Soh
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore
| | - Ywee Chieh Tay
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore
| | - Co Sin Lee
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore
| | - Adrian Low
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, MD6-Centre for Translational Medicine, 14 Medical Drive, Singapore, 117599, Singapore
| | - Laszlo Orban
- Frontline Fish Genomics Research Group, Department of Applied Fish Biology, Institute of Aquaculture and Environmental Safety, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, Keszthely, 8360, Hungary
| | - Zeehan Jaafar
- Department of Biological Sciences, National University of Singapore, Singapore, 117558, Singapore
| | - Henning Seedorf
- Temasek Life Sciences Laboratory, 1 Research Link, Singapore, 117604, Singapore.
- Department of Biological Sciences, National University of Singapore, Singapore, 117558, Singapore.
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20
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Bello S, McQuay S, Rudra B, Gupta RS. Robust demarcation of the family Peptostreptococcaceae and its main genera based on phylogenomic studies and taxon-specific molecular markers. Int J Syst Evol Microbiol 2024; 74. [PMID: 38319314 DOI: 10.1099/ijsem.0.006247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024] Open
Abstract
The family Peptostreptococcaceae, which contains 15 genera including Clostridioides, presently lacks proper circumscription. Using 52 available genomes for Peptostreptococcaceae species, we report comprehensive phylogenomic and comparative analyses to reliably discern their evolutionary relationships. In phylogenetic trees based on core genome proteins and 16S rRNA gene sequences, the examined species formed a strongly supported clade designated as Peptostreptococcaceae sensu stricto. This clade encompassed the genera Peptostreptococcus (type genus), Asaccharospora, Clostridioides, Intestinibacter, Paeniclostridium, Paraclostridium, Peptacetobacter, Romboutsia and Terrisporobacter, and two misclassified species (viz. Eubacterium tenue and 'Clostridium dakarense'). The distinctness of this clade is strongly supported by eight identified conserved signature indels (CSIs), which are specific for the species from this clade. Based on the robust evidence provided by presented studies, we are proposing the emendment of family Peptostreptococcaceae to only the genera within the Peptostreptococcaceae sensu stricto clade. We also report 67 other novel CSIs, which reliably demarcate different Peptostreptococcaceae species clades and clarify the classification of some misclassified species. Based on the consistent evidence obtained from different presented studies, we are making the following proposals to clarify the classification of Peptostreptococcaceae species: (i) transfer of Eubacterium tenue, Paeniclostridium ghonii and Paeniclostridium sordellii as comb. nov. into the genus Paraclostridium; (ii) transfer of Clostridioides mangenotii as a comb. nov. into Metaclostridioides gen. nov.; (iii) classification of 'Clostridium dakarense' as a novel species Faecalimicrobium dakarense gen. nov., sp. nov. (type strain FF1T; genome and 16S rRNA accession numbers GCA_000499525.1 and KC517358, respectively); (iv) transfer of two misclassified species, Clostridium paradoxum and Clostridium thermoalcaliphilum, into Alkalithermobacter gen. nov.; and (v) proposals for two novel families, Peptoclostridiaceae fam. nov. and Tepidibacteraceae fam. nov., to accommodate remaining unclassified Peptostreptococcaceae genera. The described CSIs specific for different families and genera provide novel and reliable means for the identification, diagnostics and biochemical studies on these bacteria.
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Affiliation(s)
- Sarah Bello
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, L8N 3Z5, Ontario, Canada
| | - Sarah McQuay
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, L8N 3Z5, Ontario, Canada
| | - Bashudev Rudra
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, L8N 3Z5, Ontario, Canada
| | - Radhey S Gupta
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, L8N 3Z5, Ontario, Canada
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21
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Hanage WP. Two decades of population genomics: will we ever agree on bacterial species? BMC Biol 2024; 22:20. [PMID: 38279118 PMCID: PMC10821237 DOI: 10.1186/s12915-023-01797-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 12/05/2023] [Indexed: 01/28/2024] Open
Affiliation(s)
- William P Hanage
- Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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22
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Muralidharan HS, Fox NY, Pop M. The impact of transitive annotation on the training of taxonomic classifiers. Front Microbiol 2024; 14:1240957. [PMID: 38235435 PMCID: PMC10792039 DOI: 10.3389/fmicb.2023.1240957] [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: 06/15/2023] [Accepted: 11/03/2023] [Indexed: 01/19/2024] Open
Abstract
Introduction A common task in the analysis of microbial communities involves assigning taxonomic labels to the sequences derived from organisms found in the communities. Frequently, such labels are assigned using machine learning algorithms that are trained to recognize individual taxonomic groups based on training data sets that comprise sequences with known taxonomic labels. Ideally, the training data should rely on labels that are experimentally verified-formal taxonomic labels require knowledge of physical and biochemical properties of organisms that cannot be directly inferred from sequence alone. However, the labels associated with sequences in biological databases are most commonly computational predictions which themselves may rely on computationally-generated data-a process commonly referred to as "transitive annotation." Methods In this manuscript we explore the implications of training a machine learning classifier (the Ribosomal Database Project's Bayesian classifier in our case) on data that itself has been computationally generated. We generate new training examples based on 16S rRNA data from a metagenomic experiment, and evaluate the extent to which the taxonomic labels predicted by the classifier change after re-training. Results We demonstrate that even a few computationally-generated training data points can significantly skew the output of the classifier to the point where entire regions of the taxonomic space can be disturbed. Discussion and conclusions We conclude with a discussion of key factors that affect the resilience of classifiers to transitively-annotated training data, and propose best practices to avoid the artifacts described in our paper.
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Affiliation(s)
- Harihara Subrahmaniam Muralidharan
- Department of Computer Science, University of Maryland, College Park, MD, United States
- Center for Bioinformatics and Computational Biology (CBCB), University of Maryland, College Park, MD, United States
| | - Noam Y. Fox
- Department of Computer Science, University of Maryland, College Park, MD, United States
| | - Mihai Pop
- Department of Computer Science, University of Maryland, College Park, MD, United States
- Center for Bioinformatics and Computational Biology (CBCB), University of Maryland, College Park, MD, United States
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23
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Cho MH, Cho KH, No KT. PhyloSophos: a high-throughput scientific name mapping algorithm augmented with explicit consideration of taxonomic science, and its application on natural product (NP) occurrence database processing. BMC Bioinformatics 2023; 24:475. [PMID: 38097955 PMCID: PMC10722791 DOI: 10.1186/s12859-023-05588-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND The standardization of biological data using unique identifiers is vital for seamless data integration, comprehensive interpretation, and reproducibility of research findings, contributing to advancements in bioinformatics and systems biology. Despite being widely accepted as a universal identifier, scientific names for biological species have inherent limitations, including lack of stability, uniqueness, and convertibility, hindering their effective use as identifiers in databases, particularly in natural product (NP) occurrence databases, posing a substantial obstacle to utilizing this valuable data for large-scale research applications. RESULT To address these challenges and facilitate high-throughput analysis of biological data involving scientific names, we developed PhyloSophos, a Python package that considers the properties of scientific names and taxonomic systems to accurately map name inputs to entries within a chosen reference database. We illustrate the importance of assessing multiple taxonomic databases and considering taxonomic syntax-based pre-processing using NP occurrence databases as an example, with the ultimate goal of integrating heterogeneous information into a single, unified dataset. CONCLUSIONS We anticipate PhyloSophos to significantly aid in the systematic processing of poorly digitized and curated biological data, such as biodiversity information and ethnopharmacological resources, enabling full-scale bioinformatics analysis using these valuable data resources.
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Affiliation(s)
- Min Hyung Cho
- Bioinformatics and Molecular Design Research Center (BMDRC), 209, Veritas A Hall, Yonsei University, 85 Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, Republic of Korea.
| | - Kwang-Hwi Cho
- School of Systems Biomedical Science, Soongsil University, Seoul, 06978, South Korea
| | - Kyoung Tai No
- Bioinformatics and Molecular Design Research Center (BMDRC), 209, Veritas A Hall, Yonsei University, 85 Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, Republic of Korea
- Department of Integrative Biotechnology and Translational Medicine, 214, Veritas A Hall, Yonsei University, 85 Songdogwahak-ro, Yeonsu-gu, Incheon, 21983, Republic of Korea
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24
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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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25
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Gavriilidou A, Avcı B, Galani A, Schorn MA, Ingham CJ, Ettema TJG, Smidt H, Sipkema D. Candidatus Nemesobacterales is a sponge-specific clade of the candidate phylum Desulfobacterota adapted to a symbiotic lifestyle. THE ISME JOURNAL 2023; 17:1808-1818. [PMID: 37587369 PMCID: PMC10579324 DOI: 10.1038/s41396-023-01484-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/26/2023] [Accepted: 06/02/2023] [Indexed: 08/18/2023]
Abstract
Members of the candidate phylum Dadabacteria, recently reassigned to the phylum Candidatus Desulfobacterota, are cosmopolitan in the marine environment found both free-living and associated with hosts that are mainly marine sponges. Yet, these microorganisms are poorly characterized, with no cultured representatives and an ambiguous phylogenetic position in the tree of life. Here, we performed genome-centric metagenomics to elucidate their phylogenomic placement and predict the metabolism of the sponge-associated members of this lineage. Rank-based phylogenomics revealed several new species and a novel family (Candidatus Spongomicrobiaceae) within a sponge-specific order, named here Candidatus Nemesobacterales. Metabolic reconstruction suggests that Ca. Nemesobacterales are aerobic heterotrophs, capable of synthesizing most amino acids, vitamins and cofactors and degrading complex carbohydrates. We also report functional divergence between sponge- and seawater-associated metagenome-assembled genomes. Niche-specific adaptations to the sponge holobiont were evident from significantly enriched genes involved in defense mechanisms against foreign DNA and environmental stressors, host-symbiont interactions and secondary metabolite production. Fluorescence in situ hybridization gave a first glimpse of the morphology and lifestyle of a member of Ca. Desulfobacterota. Candidatus Nemesobacterales spp. were found both inside sponge cells centred around sponge nuclei and in the mesohyl of the sponge Geodia barretti. This study sheds light on the enigmatic group Ca. Nemesobacterales and their functional characteristics that reflect a symbiotic lifestyle.
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Affiliation(s)
- Asimenia Gavriilidou
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708WE, Wageningen, The Netherlands.
| | - Burak Avcı
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708WE, Wageningen, The Netherlands
| | - Anastasia Galani
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708WE, Wageningen, The Netherlands
| | - Michelle A Schorn
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708WE, Wageningen, The Netherlands
| | - Colin J Ingham
- Hoekmine BV, Verenigingstraat 36, 3515GJ, Utrecht, The Netherlands
| | - Thijs J G Ettema
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708WE, Wageningen, The Netherlands
| | - Hauke Smidt
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708WE, Wageningen, The Netherlands
| | - Detmer Sipkema
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708WE, Wageningen, The Netherlands.
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26
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Zhang DF, He W, Shao Z, Ahmed I, Zhang Y, Li WJ, Zhao Z. Phylotaxonomic assessment based on four core gene sets and proposal of a genus definition among the families Paracoccaceae and Roseobacteraceae. Int J Syst Evol Microbiol 2023; 73. [PMID: 37970897 DOI: 10.1099/ijsem.0.006156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023] Open
Abstract
The families Paracoccaceae and
Roseobacteraceae
comprise metabolically, phenotypically and genotypically diverse members, and their descriptions rely heavily on 16S rRNA gene analysis. Hundreds of genera have been reported within the two families and misclassifications have been a reoccurring problem, even when the taxonomies have been established based on genome-scale phylogenetic reconstructions. In this study, we conducted a comprehensive phylotaxonomic assessment of the families Paracoccaceae and
Roseobacteraceae
based on four ubiquitous gene sets, bac120 (120 genes in Bacteria), rhodo268 (268 genes in ‘
Rhodobacteraceae
’, defined in this study), rp1 (16 ribosomal protein genes in Prokaryote) and rp2 (23 ribosomal protein genes in Prokaryote), using two tree-inferring applications and two approaches (supermatrix and consensus). The results suggested that the four supermatrix trees based on bac120 and rhodo268 shared a high proportion of common nodes (>88.4 %) and the topology was reproducible among all the trees within most of the genera. The evolutionary distance (ED) analysis showed significant overlapping between the intergeneric and intrageneric comparisons, implying that the proposal of some genera seemed to be unnecessary. In addition, the bac120 gene set and the FastTree program were found to be the most cost-effective way to conduct phylogenomic analysis of the families Paracoccaceae and
Roseobacteraceae
. An ED threshold of 0.21–0.23 based on either bac120 or rhodo268 was proposed as one standard for later genus delimitation in these families. A comprehensive phylogenetic framework is presented in this study and the proposed genus definition will help to establish a more reasonable taxonomy in the families Paracoccaceae and
Roseobacteraceae
.
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Affiliation(s)
- Dao-Feng Zhang
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization & College of Oceanography, Hohai University, Nanjing, PR China
| | - Wei He
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization & College of Oceanography, Hohai University, Nanjing, PR China
| | - Zongze Shao
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization & College of Oceanography, Hohai University, Nanjing, PR China
- Key Laboratory of Marine Biogenetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, PR China
| | - Iftikhar Ahmed
- National Agricultural Research Centre (NARC), Land Resources Research Institute (LRRI), National Culture Collection of Pakistan (NCCP), Islamabad, Pakistan
| | - Yuqin Zhang
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, PR China
| | - Wen-Jun Li
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization & College of Oceanography, Hohai University, Nanjing, PR China
- State Key Laboratory of Biocontrol, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-Sen University, Guangzhou, PR China
| | - Zhe Zhao
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization & College of Oceanography, Hohai University, Nanjing, PR China
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27
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Val-Calvo J, Vázquez-Boland JA. Mycobacteriales taxonomy using network analysis-aided, context-uniform phylogenomic approach for non-subjective genus demarcation. mBio 2023; 14:e0220723. [PMID: 37796005 PMCID: PMC10653829 DOI: 10.1128/mbio.02207-23] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 08/28/2023] [Indexed: 10/06/2023] Open
Abstract
IMPORTANCE A robust taxonomy is essential for the organized study of prokaryotes and the effective communication of microbial knowledge. The genus rank is the mainstay of biological classification as it brings together under a common name a group of closely related organisms sharing the same recent ancestry and similar characteristics. Despite the unprecedented resolution afforded by whole-genome sequencing in defining evolutionary relationships, a consensus approach for phylogenomics-based prokaryotic genus delineation remains elusive. Taxonomists use different demarcation criteria, sometimes leading to genus rank over-splitting and the creation of multiple new genera. This work reports a simple, reliable, and standardizable method that seeks to minimize subjectivity in genomics-based demarcation of prokaryotic genera, exemplified through application to the order Mycobacteriales. Formal descriptions of proposed taxonomic changes based on our study are included.
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Affiliation(s)
- Jorge Val-Calvo
- Microbial Pathogenesis Laboratory, Infection Medicine, Edinburgh Medical School (Biomedical Sciences), University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - José A. Vázquez-Boland
- Microbial Pathogenesis Laboratory, Infection Medicine, Edinburgh Medical School (Biomedical Sciences), University of Edinburgh, Edinburgh, Scotland, United Kingdom
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28
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Zhang DF, He W, Shao Z, Ahmed I, Zhang Y, Li WJ, Zhao Z. EasyCGTree: a pipeline for prokaryotic phylogenomic analysis based on core gene sets. BMC Bioinformatics 2023; 24:390. [PMID: 37838689 PMCID: PMC10576351 DOI: 10.1186/s12859-023-05527-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 10/10/2023] [Indexed: 10/16/2023] Open
Abstract
BACKGROUND Genome-scale phylogenetic analysis based on core gene sets is routinely used in microbiological research. However, the techniques are still not approachable for individuals with little bioinformatics experience. Here, we present EasyCGTree, a user-friendly and cross-platform pipeline to reconstruct genome-scale maximum-likehood (ML) phylogenetic tree using supermatrix (SM) and supertree (ST) approaches. RESULTS EasyCGTree was implemented in Perl programming languages and was built using a collection of published reputable programs. All the programs were precompiled as standalone executable files and contained in the EasyCGTree package. It can run after installing Perl language environment. Several profile hidden Markov models (HMMs) of core gene sets were prepared in advance to construct a profile HMM database (PHD) that was enclosed in the package and available for homolog searching. Customized gene sets can also be used to build profile HMM and added to the PHD via EasyCGTree. Taking 43 genomes of the genus Paracoccus as the testing data set, consensus (a variant of the typical SM), SM, and ST trees were inferred via EasyCGTree successfully, and the SM trees were compared with those inferred via the pipelines UBCG and bcgTree, using the metrics of cophenetic correlation coefficients (CCC) and Robinson-Foulds distance (topological distance). The results suggested that EasyCGTree can infer SM trees with nearly identical topology (distance < 0.1) and accuracy (CCC > 0.99) to those of trees inferred with the two pipelines. CONCLUSIONS EasyCGTree is an all-in-one automatic pipeline from input data to phylogenomic tree with guaranteed accuracy, and is much easier to install and use than the reference pipelines. In addition, ST is implemented in EasyCGTree conveniently and can be used to explore prokaryotic evolutionary signals from a different perspective. The EasyCGTree version 4 is freely available for Linux and Windows users at Github ( https://github.com/zdf1987/EasyCGTree4 ).
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Affiliation(s)
- Dao-Feng Zhang
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China.
| | - Wei He
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China
| | - Zongze Shao
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China.
- Key Laboratory of Marine Biogenetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China.
| | - Iftikhar Ahmed
- National Agricultural Research Centre (NARC), Land Resources Research Institute (LRRI), National Culture Collection of Pakistan (NCCP), Islamabad, 45500, Pakistan
| | - Yuqin Zhang
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Wen-Jun Li
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China
- State Key Laboratory of Biocontrol, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Zhe Zhao
- Jiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China
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29
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Rekadwad BN, Li WJ, Gonzalez JM, Punchappady Devasya R, Ananthapadmanabha Bhagwath A, Urana R, Parwez K. Extremophiles: the species that evolve and survive under hostile conditions. 3 Biotech 2023; 13:316. [PMID: 37637002 PMCID: PMC10457277 DOI: 10.1007/s13205-023-03733-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 06/26/2023] [Indexed: 08/29/2023] Open
Abstract
Extremophiles possess unique cellular and molecular mechanisms to assist, tolerate, and sustain their lives in extreme habitats. These habitats are dominated by one or more extreme physical or chemical parameters that shape existing microbial communities and their cellular and genomic features. The diversity of extremophiles reflects a long list of adaptations over millions of years. Growing research on extremophiles has considerably uncovered and increased our understanding of life and its limits on our planet. Many extremophiles have been greatly explored for their application in various industrial processes. In this review, we focused on the characteristics that microorganisms have acquired to optimally thrive in extreme environments. We have discussed cellular and molecular mechanisms involved in stability at respective extreme conditions like thermophiles, psychrophiles, acidophiles, barophiles, etc., which highlight evolutionary aspects and the significance of extremophiles for the benefit of mankind.
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Affiliation(s)
- Bhagwan Narayan Rekadwad
- Present Address: Division of Microbiology and Biotechnology, Yenepoya Research Centre, Yenepoya (Deemed to be University), University Road, Deralakatte, Mangalore, 575018 Karnataka India
- National Centre for Microbial Resource (NCMR), DBT-National Centre for Cell Science (DBT-NCCS), Savitribai Phule Pune University Campus, Ganeshkhind Road, Pune, 411007 Maharashtra India
- Institute of Bioinformatics and Biotechnology (IBB), Savitribai Phule Pune University (SPPU), Ganeshkhind Road, Pune, 411007 Maharashtra India
| | - Wen-Jun Li
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275 People’s Republic of China
| | - Juan M. Gonzalez
- Microbial Diversity and Microbiology of Extreme Environments Research Group, Agencia Estatal Consejo Superior De Investigaciones Científicas, IRNAS-CSIC, Avda. Reina Mercedes, 10, 41012 Seville, Spain
| | - Rekha Punchappady Devasya
- Present Address: Division of Microbiology and Biotechnology, Yenepoya Research Centre, Yenepoya (Deemed to be University), University Road, Deralakatte, Mangalore, 575018 Karnataka India
| | - Arun Ananthapadmanabha Bhagwath
- Present Address: Division of Microbiology and Biotechnology, Yenepoya Research Centre, Yenepoya (Deemed to be University), University Road, Deralakatte, Mangalore, 575018 Karnataka India
- Yenepoya Institute of Arts, Science, Commerce and Management, A Constituent Unit of Yenepoya (Deemed to be University), Yenepoya Complex, Balmatta, Mangalore, 575002 Karnataka India
| | - Ruchi Urana
- Department of Environmental Science and Engineering, Faculty of Environmental and Bio Sciences and Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001 India
| | - Khalid Parwez
- Department of Microbiology, Shree Narayan Medical Institute and Hospital, Saharsa, Bihar 852201 India
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30
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Greub G, Pillonel T, Bavoil PM, Borel N, Campbell LA, Dean D, Hefty S, Horn M, Morré SA, Ouellette SP, Pannekoek Y, Puolakkainen M, Timms P, Valdivia R, Vanrompay D. Use of gene sequences as type for naming prokaryotes: Recommendations of the international committee on the taxonomy of chlamydiae. New Microbes New Infect 2023; 54:101158. [PMID: 37416863 PMCID: PMC10320375 DOI: 10.1016/j.nmni.2023.101158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 06/01/2023] [Accepted: 06/07/2023] [Indexed: 07/08/2023] Open
Abstract
The International Committee on Systematics of Prokaryotes (ICSP) discussed and rejected in 2020 a proposal to modify the International Code of Nomenclature of Prokaryotes to allow the use of gene sequences as type for naming prokaryotes. An alternative nomenclatural code, the Code of Nomenclature of Prokaryotes Described from Sequence Data (SeqCode), which considers genome sequences as type material for naming species, was published in 2022. Members of the ICSP subcommittee for the taxonomy of the phylum Chlamydiae (Chlamydiota) consider that the use of gene sequences as type would benefit the taxonomy of microorganisms that are difficult to culture such as the chlamydiae and other strictly intracellular bacteria. We recommend the registration of new names of uncultured prokaryotes in the SeqCode registry.
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Affiliation(s)
- Gilbert Greub
- Centre for Research on Intracellular Bacteria, Institute of Microbiology, University Hospital Centre and University of Lausanne, Bugnon 48, 1011, Lausanne, Switzerland
| | - Trestan Pillonel
- Centre for Research on Intracellular Bacteria, Institute of Microbiology, University Hospital Centre and University of Lausanne, Bugnon 48, 1011, Lausanne, Switzerland
| | - Patrik M. Bavoil
- Department of Microbial Pathogenesis, University of Maryland School of Dentistry, Baltimore, MD, USA
| | - Nicole Borel
- Department of Pathobiology, Institute of Veterinary Pathology, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 268, CH-8057, Zurich, Switzerland
| | - Lee Ann Campbell
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Deborah Dean
- Departments of Medicine and Pediatrics, University of California San Francisco School of Medicine, Oakland, CA, USA
| | - Scott Hefty
- Department of Molecular Biosciences, University of Kansas, Lawrence, KS, USA
| | - Matthias Horn
- Centre for Microbiology and Environmental Systems Science, University of Vienna, 1090, Vienna, Austria
| | - Servaas A. Morré
- Laboratory of Immunogenetics, Department of Medical Microbiology and Infection Control, VU University Medical Center, Amsterdam, the Netherlands
- Institute for Public Health Genomics (IPHG), Department of Genetics and Cell Biology, Research School GROW (School for Oncology & Developmental Biology), Faculty of Health, Medicine & Life Sciences, University of Maastricht, Maastricht, the Netherlands
- Dutch Chlamydia Trachomatis Reference Laboratory, Department of Medical Microbiology & Infection Control, VU University Medical Centre, Amsterdam, the Netherlands
| | - Scot P. Ouellette
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Yvonne Pannekoek
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Mirja Puolakkainen
- Department of Virology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Peter Timms
- Genecology Research Center, University of Sunshine Coast, Queensland, Australia
| | - Raphael Valdivia
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, 27710, USA
| | - Daisy Vanrompay
- Department of Animal Science and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, B-9000, Ghent, Belgium
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31
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Caetano-Anollés G, Claverie JM, Nasir A. A critical analysis of the current state of virus taxonomy. Front Microbiol 2023; 14:1240993. [PMID: 37601376 PMCID: PMC10435761 DOI: 10.3389/fmicb.2023.1240993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 07/20/2023] [Indexed: 08/22/2023] Open
Abstract
Taxonomical classification has preceded evolutionary understanding. For that reason, taxonomy has become a battleground fueled by knowledge gaps, technical limitations, and a priorism. Here we assess the current state of the challenging field, focusing on fallacies that are common in viral classification. We emphasize that viruses are crucial contributors to the genomic and functional makeup of holobionts, organismal communities that behave as units of biological organization. Consequently, viruses cannot be considered taxonomic units because they challenge crucial concepts of organismality and individuality. Instead, they should be considered processes that integrate virions and their hosts into life cycles. Viruses harbor phylogenetic signatures of genetic transfer that compromise monophyly and the validity of deep taxonomic ranks. A focus on building phylogenetic networks using alignment-free methodologies and molecular structure can help mitigate the impasse, at least in part. Finally, structural phylogenomic analysis challenges the polyphyletic scenario of multiple viral origins adopted by virus taxonomy, defeating a polyphyletic origin and supporting instead an ancient cellular origin of viruses. We therefore, prompt abandoning deep ranks and urgently reevaluating the validity of taxonomic units and principles of virus classification.
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Affiliation(s)
- Gustavo Caetano-Anollés
- Evolutionary Bioinformatics Laboratory, Department of Crop Sciences and C.R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Jean-Michel Claverie
- Structural and Genomic Information Laboratory (UMR7256), Mediterranean Institute of Microbiology (FR3479), IM2B, IOM, Aix Marseille University, CNRS, Marseille, France
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32
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Rheindt FE, Bouchard P, Pyle RL, Welter-Schultes F, Aescht E, Ahyong ST, Ballerio A, Bourgoin T, Ceríaco LMP, Dmitriev D, Evenhuis N, Grygier MJ, Harvey MS, Kottelat M, Kluge N, Krell FT, Kojima JI, Kullander SO, Lucinda P, Lyal CHC, Scioscia CL, Whitmore D, Yanega D, Zhang ZQ, Zhou HZ, Pape T. Tightening the requirements for species diagnoses would help integrate DNA-based descriptions in taxonomic practice. PLoS Biol 2023; 21:e3002251. [PMID: 37607211 PMCID: PMC10443861 DOI: 10.1371/journal.pbio.3002251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023] Open
Abstract
Modern advances in DNA sequencing hold the promise of facilitating descriptions of new organisms at ever finer precision but have come with challenges as the major Codes of bionomenclature contain poorly defined requirements for species and subspecies diagnoses (henceforth, species diagnoses), which is particularly problematic for DNA-based taxonomy. We, the commissioners of the International Commission on Zoological Nomenclature, advocate a tightening of the definition of "species diagnosis" in future editions of Codes of bionomenclature, for example, through the introduction of requirements for specific information on the character states of differentiating traits in comparison with similar species. Such new provisions would enhance taxonomic standards and ensure that all diagnoses, including DNA-based ones, contain adequate taxonomic context. Our recommendations are intended to spur discussion among biologists, as broad community consensus is critical ahead of the implementation of new editions of the International Code of Zoological Nomenclature and other Codes of bionomenclature.
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Affiliation(s)
- Frank E. Rheindt
- National University of Singapore, Department of Biological Sciences, Singapore
| | - Patrice Bouchard
- Canadian National Collection of Insects, Arachnids and Nematodes, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada
| | - Richard L. Pyle
- Department of Natural Sciences, Bernice Pauahi Bishop Museum, Honolulu, Hawaii, United States of America
| | - Francisco Welter-Schultes
- Abteilung Evolution und Biodiversität der Tiere und Zoologisches Museum, Universität Göttingen, Göttingen, Germany
| | - Erna Aescht
- Biology Centre of the Upper Austrian Museum, Linz, Austria
| | - Shane T. Ahyong
- Australian Museum, Sydney, Australia
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Kensington, Australia
| | | | - Thierry Bourgoin
- Institut Systématique, Evolution, Biodiversité (ISYEB), MNHN-CNRS-Sorbonne Université-EPHE- Université des Antilles, Museum National d’Histoire Naturelle, Paris, France
| | - Luis M. P. Ceríaco
- Departamento de Vertebrados, Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Dmitry Dmitriev
- Illinois Natural History Survey, University of Illinois at Urbana-Champaign, Champaign, Illinois, United States of America
| | - Neal Evenhuis
- Department of Natural Sciences, Bernice Pauahi Bishop Museum, Honolulu, Hawaii, United States of America
| | - Mark J. Grygier
- National Museum of Marine Biology and Aquarium, Checheng, Taiwan
| | - Mark S. Harvey
- Department of Terrestrial Zoology, Western Australian Museum, Welshpool DC, Australia
| | | | - Nikita Kluge
- Department of Entomology, Saint-Petersburg State University, Saint Petersburg, Russia
| | - Frank-T. Krell
- Denver Museum of Nature and Science, Denver, Colorado, United States of America
| | - Jun-ichi Kojima
- Natural History Laboratory, Faculty of Science, Ibaraki University, Mito, Japan
| | - Sven O. Kullander
- Department of Zoology, Swedish Museum of Natural History, Stockholm, Sweden
| | - Paulo Lucinda
- Laboratório de Ictiologia Sistemática, Universidade Federal do Tocantins, Tocantins, Brazil
| | | | - Cristina Luisa Scioscia
- Arachnology Division, Museo Argentino de Ciencias Naturales ‘Bernardino Rivadavia’, Buenos Aires, Argentina
| | - Daniel Whitmore
- Staatliches Museum für Naturkunde Stuttgart, Stuttgart, Germany
| | - Douglas Yanega
- Department of Entomology, University of California, Riverside, Riverside, California, United States of America
| | - Zhi-Qiang Zhang
- Manaaki Whenua–Landcare Research, Auckland, New Zealand
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Hong-Zhang Zhou
- Institute of Zoology, Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Thomas Pape
- Zoological Museum, Natural History Museum of Denmark, Copenhagen, Denmark
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Lee HW, Yoon SR, Dang YM, Kang M, Lee K, Ha JH, Bae JW. Presence of an ultra-small microbiome in fermented cabbages. PeerJ 2023; 11:e15680. [PMID: 37483986 PMCID: PMC10358336 DOI: 10.7717/peerj.15680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/13/2023] [Indexed: 07/25/2023] Open
Abstract
Background Ultramicrobacteria (UMB), also known as ultra-small bacteria, are tiny bacteria with a size less than 0.1 µm3. They have a high surface-to-volume ratio and are found in various ecosystems, including the human body. UMB can be classified into two types: one formed through cell contraction and the other that maintains a small size. The ultra-small microbiome (USM), which may contain UMB, includes all bacteria less than 0.2 µm in size and is difficult to detect with current methods. However, it poses a potential threat to food hygiene, as it can pass through sterilization filters and exist in a viable but non-culturable (VBNC) state. The data on the USM of foods is limited. Some bacteria, including pathogenic species, are capable of forming UMB under harsh conditions, making it difficult to detect them through conventional culture techniques. Methods The study described above focused on exploring the diversity of USM in fermented cabbage samples from three different countries (South Korea, China, and Germany). The samples of fermented cabbage (kimchi, suancai, and sauerkraut) were purchased and stored in chilled conditions at approximately 4 °C until filtration. The filtration process involved two steps of tangential flow filtration (TFF) using TFF cartridges with different pore sizes (0.2 µm and 100 kDa) to separate normal size bacteria (NM) and USM. The USM and NM isolated via TFF were stored in a refrigerator at 4 °C until DNA extraction. The extracted DNA was then amplified using PCR and the full-length 16S rRNA gene was sequenced using single-molecule-real-time (SMRT) sequencing. The transmission electron microscope (TEM) was used to confirm the presence of microorganisms in the USM of fermented cabbage samples. Results To the best of our knowledge, this is the first study to identify the differences between USM and NM in fermented cabbages. Although the size of the USM (average 2,171,621 bp) was smaller than that of the NM (average 15,727,282 bp), diversity in USM (average H' = 1.32) was not lower than that in NM (average H' = 1.22). In addition, some members in USM probably underwent cell shrinkage due to unfavorable environments, while others maintained their size. Major pathogens were not detected in the USM in fermented cabbages. Nevertheless, several potentially suspicious strains (genera Cellulomonas and Ralstonia) were detected. Our method can be used to screen food materials for the presence of USM undetectable via conventional methods. USM and NM were efficiently separated using tangential flow filtration and analyzed via single-molecule real-time sequencing. The USM of fermented vegetables exhibited differences in size, diversity, and composition compared with the conventional microbiome. This study could provide new insights into the ultra-small ecosystem in fermented foods, including fermented cabbages.
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Affiliation(s)
- Hae-Won Lee
- Hygienic Safety ⋅ Materials Research Group, World Institute of Kimchi, Gwangju, Republic of Korea
- Department of Biology and Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, Republic of Korea
| | - So-Ra Yoon
- Hygienic Safety ⋅ Materials Research Group, World Institute of Kimchi, Gwangju, Republic of Korea
| | - Yun-Mi Dang
- Hygienic Safety ⋅ Materials Research Group, World Institute of Kimchi, Gwangju, Republic of Korea
| | - Miran Kang
- Practical Technology Research Group, World Institute of Kimchi, Gwangju, Republic of Korea
| | - Kwangho Lee
- Center for Research Facilities, Chonnam National University, Gwangju, Republic of Korea
| | - Ji-Hyung Ha
- Hygienic Safety ⋅ Materials Research Group, World Institute of Kimchi, Gwangju, Republic of Korea
| | - Jin-Woo Bae
- Department of Biology and Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, Republic of Korea
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Rodrigues Jardim B, Tran-Nguyen LTT, Gambley C, Al-Sadi AM, Al-Subhi AM, Foissac X, Salar P, Cai H, Yang JY, Davis R, Jones L, Rodoni B, Constable FE. The observation of taxonomic boundaries for the 16SrII and 16SrXXV phytoplasmas using genome-based delimitation. Int J Syst Evol Microbiol 2023; 73. [PMID: 37486824 DOI: 10.1099/ijsem.0.005977] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023] Open
Abstract
Within the 16SrII phytoplasma group, subgroups A-X have been classified based on restriction fragment length polymorphism of their 16S rRNA gene, and two species have been described, namely 'Candidatus Phytoplasma aurantifolia' and 'Ca. Phytoplasma australasia'. Strains of 16SrII phytoplasmas are detected across a broad geographic range within Africa, Asia, Australia, Europe and North and South America. Historically, all members of the 16SrII group share ≥97.5 % nucleotide sequence identity of their 16S rRNA gene. In this study, we used whole genome sequences to identify the species boundaries within the 16SrII group. Whole genome analyses were done using 42 phytoplasma strains classified into seven 16SrII subgroups, five 16SrII taxa without official 16Sr subgroup classifications, and one 16SrXXV-A phytoplasma strain used as an outgroup taxon. Based on phylogenomic analyses as well as whole genome average nucleotide and average amino acid identity (ANI and AAI), eight distinct 16SrII taxa equivalent to species were identified, six of which are novel descriptions. Strains within the same species had ANI and AAI values of >97 %, and shared ≥80 % of their genomic segments based on the ANI analysis. Species also had distinct biological and/or ecological features. A 16SrII subgroup often represented a distinct species, e.g., the 16SrII-B subgroup members. Members classified within the 16SrII-A, 16SrII-D, and 16SrII-V subgroups as well as strains classified as sweet potato little leaf phytoplasmas fulfilled criteria to be included as members of a single species, but with subspecies-level relationships with each other. The 16SrXXV-A taxon was also described as a novel phytoplasma species and, based on criteria used for other bacterial families, provided evidence that it could be classified as a distinct genus from the 16SrII phytoplasmas. As more phytoplasma genome sequences become available, the classification system of these bacteria can be further refined at the genus, species, and subspecies taxonomic ranks.
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Affiliation(s)
- Bianca Rodrigues Jardim
- School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, Australia
- Agriculture Victoria Research, Department of Energy, Environment and Climate Action, AgriBio, Bundoora, Victoria, Australia
| | | | - Cherie Gambley
- Horticulture and Forestry Science, Department of Agriculture and Fisheries Maroochy Research Facility, Nambour, Queensland, Australia
| | - Abdullah M Al-Sadi
- Department of Plant Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University, Muscat, Oman
| | - Ali M Al-Subhi
- Department of Plant Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University, Muscat, Oman
| | - Xavier Foissac
- University of Bordeaux, INRAE, Biologie du Fruit et Pathologie, UMR 1332, 33140, Bordeaux, Villenave d'Ornon, France
| | - Pascal Salar
- University of Bordeaux, INRAE, Biologie du Fruit et Pathologie, UMR 1332, 33140, Bordeaux, Villenave d'Ornon, France
| | - Hong Cai
- The Key Laboratory for Plant Pathology, Yunnan Agricultural University, Kunming 650201, PR China
| | - Jun-Yi Yang
- Institute of Biochemistry, National Chung Hsing University, Taichung 402, Taiwan, ROC
- Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung 402, Taiwan, ROC
| | - Richard Davis
- Northern Australia Quarantine Strategy, Department of Agriculture, Fisheries and Forestry, Canberra, Australian Capital Territory 2601, Australia
| | - Lynne Jones
- Northern Australia Quarantine Strategy, Department of Agriculture, Fisheries and Forestry, Canberra, Australian Capital Territory 2601, Australia
| | - Brendan Rodoni
- School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, Australia
- Agriculture Victoria Research, Department of Energy, Environment and Climate Action, AgriBio, Bundoora, Victoria, Australia
| | - Fiona E Constable
- School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, Australia
- Agriculture Victoria Research, Department of Energy, Environment and Climate Action, AgriBio, Bundoora, Victoria, Australia
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Peters EE, Cahn JKB, Lotti A, Gavriilidou A, Steffens UAE, Loureiro C, Schorn MA, Cárdenas P, Vickneswaran N, Crews P, Sipkema D, Piel J. Distribution and diversity of 'Tectomicrobia', a deep-branching uncultivated bacterial lineage harboring rich producers of bioactive metabolites. ISME COMMUNICATIONS 2023; 3:50. [PMID: 37248312 PMCID: PMC10227082 DOI: 10.1038/s43705-023-00259-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/09/2023] [Accepted: 05/18/2023] [Indexed: 05/31/2023]
Abstract
Genomic and functional analyses of bacterial sponge symbionts belonging to the uncultivated candidate genus 'Entotheonella' has revealed them as the prolific producers of bioactive compounds previously identified from their invertebrate hosts. These studies also suggested 'Entotheonella' as the first members of a new candidate phylum, 'Tectomicrobia'. Here we analyzed the phylogenetic structure and environmental distribution of this as-yet sparsely populated phylum-like lineage. The data show that 'Entotheonella' and other 'Tectomicrobia' are not restricted to marine habitats but widely distributed among terrestrial locations. The inferred phylogenetic trees suggest several intra-phylum lineages with diverse lifestyles. Of these, the previously described 'Entotheonella' lineage can be more accurately divided into at least three different candidate genera with the terrestrial 'Candidatus Prasianella', the largely terrestrial 'Candidatus Allonella', the 'Candidatus Thalassonella' comprising sponge-associated members, and the more widely distributed 'Candidatus Entotheonella'. Genomic characterization of 'Thalassonella' members from a range of sponge hosts did not suggest a role as providers of natural products, despite high genomic similarity to 'Entotheonella' regarding primary metabolism and implied lifestyle. In contrast, the analysis revealed a correlation between the revised 'Entotheonella' 16S rRNA gene phylogeny and a specific association with sponges and their natural products. This feature might serve as a discovery method to accelerate the identification of new chemically rich 'Entotheonella' variants, and led to the identification of the first 'Entotheonella' symbiont in a non-tetractinellid sponge, Psammocinia sp., indicating a wide host distribution of 'Entotheonella'-based chemical symbiosis.
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Affiliation(s)
- Eike E Peters
- Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Vladimir-Prelog-Weg 4, 8093, Zürich, Switzerland
| | - Jackson K B Cahn
- Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Vladimir-Prelog-Weg 4, 8093, Zürich, Switzerland
| | - Alessandro Lotti
- Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Vladimir-Prelog-Weg 4, 8093, Zürich, Switzerland
| | - Asimenia Gavriilidou
- Laboratory of Microbiology, Wageningen University and Research, 6708 WE, Wageningen, The Netherlands
| | - Ursula A E Steffens
- Kekule Institute of Organic Chemistry and Biochemistry, University of Bonn, Gerhard-Domagk-Strasse 1, 53121, Bonn, Germany
| | - Catarina Loureiro
- Laboratory of Microbiology, Wageningen University and Research, 6708 WE, Wageningen, The Netherlands
| | - Michelle A Schorn
- Laboratory of Microbiology, Wageningen University and Research, 6708 WE, Wageningen, The Netherlands
| | - Paco Cárdenas
- Pharmacognosy, Department of Pharmaceutical Biosciences, BioMedical Center, Uppsala University, Husargatan 3, 75124, Uppsala, Sweden
| | - Nilani Vickneswaran
- Kekule Institute of Organic Chemistry and Biochemistry, University of Bonn, Gerhard-Domagk-Strasse 1, 53121, Bonn, Germany
| | - Phillip Crews
- Department of Chemistry and Biochemistry, University of California at Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Detmer Sipkema
- Laboratory of Microbiology, Wageningen University and Research, 6708 WE, Wageningen, The Netherlands
| | - Jörn Piel
- Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Vladimir-Prelog-Weg 4, 8093, Zürich, Switzerland.
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Gupta RS, Kanter-Eivin DA. AppIndels.com server: a web-based tool for the identification of known taxon-specific conserved signature indels in genome sequences. Validation of its usefulness by predicting the taxonomic affiliation of >700 unclassified strains of Bacillus species. Int J Syst Evol Microbiol 2023; 73. [PMID: 37159410 DOI: 10.1099/ijsem.0.005844] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023] Open
Abstract
Taxon-specific conserved signature indels (CSIs) in genes/proteins provide reliable molecular markers (synapomorphies) for unambiguous demarcation of taxa of different ranks in molecular terms and for genetic, biochemical and diagnostic studies. Because of their predictive abilities, the shared presence of known taxon-specific CSIs in genome sequences has proven useful for taxonomic purposes. However, the lack of a convenient method for identifying the presence of known CSIs in genome sequences has limited their utility for taxonomic and other studies. We describe here a web-based tool/server (AppIndels.com) that identifies the presence of known and validated CSIs in genome sequences and uses this information for predicting taxonomic affiliation. The utility of this server was tested by using a database of 585 validated CSIs, which included 350 CSIs specific for ≈45 Bacillales genera, with the remaining CSIs being specific for members of the orders Neisseriales, Legionellales and Chlorobiales, family Borreliaceae, and some Pseudomonadaceae species/genera. Using this server, genome sequences were analysed for 721 Bacillus strains of unknown taxonomic affiliation. Results obtained showed that 651 of these genomes contained significant numbers of CSIs specific for the following Bacillales genera/families: Alkalicoccus, 'Alkalihalobacillaceae', Alteribacter, Bacillus Cereus clade, Bacillus Subtilis clade, Caldalkalibacillus, Caldibacillus, Cytobacillus, Ferdinandcohnia, Gottfriedia, Heyndrickxia, Lederbergia, Litchfieldia, Margalitia, Mesobacillus, Metabacillus, Neobacillus, Niallia, Peribacillus, Priestia, Pseudalkalibacillus, Robertmurraya, Rossellomorea, Schinkia, Siminovitchia, Sporosarcina, Sutcliffiella, Weizmannia and Caryophanaceae. Validity of the taxon assignment made by the server was examined by reconstructing phylogenomic trees. In these trees, all Bacillus strains for which taxonomic predictions were made correctly branched with the indicated taxa. The unassigned strains likely correspond to taxa for which CSIs are lacking in our database. Results presented here show that the AppIndels server provides a useful new tool for predicting taxonomic affiliation based on shared presence of the taxon-specific CSIs. Some caveats in using this server are discussed.
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Affiliation(s)
- Radhey S Gupta
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario CA L8N 3Z5, Canada
| | - David A Kanter-Eivin
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario CA L8N 3Z5, Canada
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37
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Lefler FW, Berthold DE, Laughinghouse HD. Cyanoseq: A database of cyanobacterial 16S rRNA gene sequences with curated taxonomy. JOURNAL OF PHYCOLOGY 2023. [PMID: 37026389 DOI: 10.1111/jpy.13335] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 03/19/2023] [Accepted: 03/20/2023] [Indexed: 05/23/2023]
Abstract
Cyanobacteria are photosynthetic bacteria that occupy various habitats across the globe, playing critical roles in many of Earth's biogeochemical cycles both in both aquatic and terrestrial systems. Despite their well-known significance, their taxonomy remains problematic and is the subject of much research. Taxonomic issues of Cyanobacteria have consequently led to inaccurate curation within known reference databases, ultimately leading to problematic taxonomic assignment during diversity studies. Recent advances in sequencing technologies have increased our ability to characterize and understand microbial communities, leading to the generation of thousands of sequences that require taxonomic assignment. We herein propose CyanoSeq (https://zenodo.org/record/7569105), a database of cyanobacterial 16S rRNA gene sequences with curated taxonomy. The taxonomy of CyanoSeq is based on the current state of cyanobacterial taxonomy, with ranks from the domain to genus level. Files are provided for use with common naive Bayes taxonomic classifiers, such as those included in DADA2 or the QIIME2 platform. Additionally, FASTA files are provided for creation of de novo phylogenetic trees with (near) full-length 16S rRNA gene sequences to determine the phylogenetic relationship of cyanobacterial strains and/or ASV/OTUs. The database currently consists of 5410 cyanobacterial 16S rRNA gene sequences along with 123 Chloroplast, Bacterial, and Vampirovibrionia (formally Melainabacteria) sequences.
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Affiliation(s)
- Forrest W Lefler
- Agronomy Department, Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA
| | - David E Berthold
- Agronomy Department, Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA
| | - H Dail Laughinghouse
- Agronomy Department, Fort Lauderdale Research and Education Center, University of Florida - IFAS, Davie, Florida, USA
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38
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van der Gulik PTS, Hoff WD, Speijer D. Renewing Linnaean taxonomy: a proposal to restructure the highest levels of the Natural System. Biol Rev Camb Philos Soc 2023; 98:584-602. [PMID: 36366773 DOI: 10.1111/brv.12920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 11/13/2022]
Abstract
During the last century enormous progress has been made in the understanding of biological diversity, involving a dramatic shift from macroscopic to microscopic organisms. The question now arises as to whether the Natural System introduced by Carl Linnaeus, which has served as the central system for organizing biological diversity, can accommodate the great expansion of diversity that has been discovered. Important discoveries regarding biological diversity have not been fully integrated into a formal, coherent taxonomic system. In addition, because of taxonomic challenges and conflicts, various proposals have been made to abandon key aspects of the Linnaean system. We review the current status of taxonomy of the living world, focussing on groups at the taxonomic level of phylum and above. We summarize the main arguments against and in favour of abandoning aspects of the Linnaean system. Based on these considerations, we conclude that retaining the Linnaean Natural System provides important advantages. We propose a relatively small number of amendments for extending this system, particularly to include the named rank of world (Latin alternative mundis) formally to include non-cellular entities (viruses), and the named rank of empire (Latin alternative imperium) to accommodate the depth of diversity in (unicellular) eukaryotes that has been uncovered. We argue that in the case of both the eukaryotic domain and the viruses the cladistic approach intrinsically fails. However, the resulting semi-cladistic system provides a productive way forward that can help resolve taxonomic challenges. The amendments proposed allow us to: (i) retain named taxonomic levels and the three-domain system, (ii) improve understanding of the main eukaryotic lineages, and (iii) incorporate viruses into the Natural System. Of note, the proposal described herein is intended to serve as the starting point for a broad scientific discussion regarding the modernization of the Linnaean system.
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Affiliation(s)
| | - Wouter D Hoff
- Department of Microbiology and Molecular Genetics and Department of Chemistry, Oklahoma State University, Stillwater, OK, 74078, USA
| | - David Speijer
- Department of Medical Biochemistry, AmsterdamUMC, University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands
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Elbehiry A, Abalkhail A, Marzouk E, Elmanssury AE, Almuzaini AM, Alfheeaid H, Alshahrani MT, Huraysh N, Ibrahem M, Alzaben F, Alanazi F, Alzaben M, Anagreyyah SA, Bayameen AM, Draz A, Abu-Okail A. An Overview of the Public Health Challenges in Diagnosing and Controlling Human Foodborne Pathogens. Vaccines (Basel) 2023; 11:vaccines11040725. [PMID: 37112637 PMCID: PMC10143666 DOI: 10.3390/vaccines11040725] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 03/29/2023] Open
Abstract
Pathogens found in food are believed to be the leading cause of foodborne illnesses; and they are considered a serious problem with global ramifications. During the last few decades, a lot of attention has been paid to determining the microorganisms that cause foodborne illnesses and developing new methods to identify them. Foodborne pathogen identification technologies have evolved rapidly over the last few decades, with the newer technologies focusing on immunoassays, genome-wide approaches, biosensors, and mass spectrometry as the primary methods of identification. Bacteriophages (phages), probiotics and prebiotics were known to have the ability to combat bacterial diseases since the turn of the 20th century. A primary focus of phage use was the development of medical therapies; however, its use quickly expanded to other applications in biotechnology and industry. A similar argument can be made with regards to the food safety industry, as diseases directly endanger the health of customers. Recently, a lot of attention has been paid to bacteriophages, probiotics and prebiotics most likely due to the exhaustion of traditional antibiotics. Reviewing a variety of current quick identification techniques is the purpose of this study. Using these techniques, we are able to quickly identify foodborne pathogenic bacteria, which forms the basis for future research advances. A review of recent studies on the use of phages, probiotics and prebiotics as a means of combating significant foodborne diseases is also presented. Furthermore, we discussed the advantages of using phages as well as the challenges they face, especially given their prevalent application in food safety.
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Affiliation(s)
- Ayman Elbehiry
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia (E.M.)
- Department of Bacteriology, Mycology and Immunology, Faculty of Veterinary Medicine, University of Sadat City, Sadat City 32511, Egypt
- Correspondence:
| | - Adil Abalkhail
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia (E.M.)
| | - Eman Marzouk
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia (E.M.)
| | - Ahmed Elnadif Elmanssury
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia (E.M.)
| | - Abdulaziz M. Almuzaini
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia
| | - Hani Alfheeaid
- Department of Food Science and Human Nutrition, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 51452, Saudi Arabia
- Human Nutrition, School of Medicine, Nursing and Dentistry, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G31 2ER, UK
| | - Mohammed T. Alshahrani
- Department of Neurology, Prince Sultan Military Medical City, Riyadh 12233, Saudi Arabia
| | - Nasser Huraysh
- Department of Family Medicine, King Fahad Armed Hospital, Jeddah 23311, Saudi Arabia
| | - Mai Ibrahem
- Department of Public Health, College of Applied Medical Science, King Khalid University, Abha 61421, Saudi Arabia;
- Department of Aquatic Animal Medicine and Management, Faculty of Veterinary Medicine, Cairo University, Cairo 12211, Egypt
| | - Feras Alzaben
- Department of Food Service, King Fahad Armed Hospital, Jeddah 23311, Saudi Arabia
| | - Farhan Alanazi
- Supply Administration, Armed Forces Hospital, King Abdul Aziz Naval Base in Jubail, Jubail 35517, Saudi Arabia
| | - Mohammed Alzaben
- Department of Food Factories Inspection, Operation Sector, Saudi Food and Drug Authority, Riyadh 13513, Saudi Arabia
| | | | | | - Abdelmaged Draz
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia
| | - Akram Abu-Okail
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia
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Molecular Detection and Identification of Plant-Associated Lactiplantibacillus plantarum. Int J Mol Sci 2023; 24:ijms24054853. [PMID: 36902287 PMCID: PMC10003612 DOI: 10.3390/ijms24054853] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Lactiplantibacillus plantarum is a lactic acid bacterium often isolated from a wide variety of niches. Its ubiquity can be explained by a large, flexible genome that helps it adapt to different habitats. The consequence of this is great strain diversity, which may make their identification difficult. Accordingly, this review provides an overview of molecular techniques, both culture-dependent, and culture-independent, currently used to detect and identify L. plantarum. Some of the techniques described can also be applied to the analysis of other lactic acid bacteria.
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McClure EA, Werth P, Ross B, Gitajn IL. Application of Nucleic Acid-Based Strategies to Detect Infectious Pathogens in Orthopaedic Implant-Related Infection. J Bone Joint Surg Am 2023; 105:556-568. [PMID: 36753571 DOI: 10.2106/jbjs.22.00315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
➤ Implant-associated infection in orthopaedic surgery remains an enormous and largely unsolved clinical problem with a high rate of persistent or recurrent infection. This may be due, at least in part, to the potential for underdiagnosis by traditional microbial culture or the potential for culture to incompletely identify the microbial species present. ➤ Nucleic acid-based diagnostic techniques, focused on using the diagnostic information contained in DNA or RNA to identify microbial species, have been developing rapidly and have garnered escalating interest for both clinical and research applications. ➤ Commonly applied techniques include end-point polymerase chain reaction (PCR), quantitative PCR, Sanger sequencing, and next-generation sequencing. Understanding the specific strengths and weaknesses of each technique is critical to understanding their utility, applying the correct assessment strategy, and critically understanding and interpreting research. ➤ The best practices for interpreting nucleic acid-based diagnostic techniques include considering positive and negative controls, reads per sample, detection thresholds (for differentiating contaminants from positive results), and the primer set or targeted regions.
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Affiliation(s)
| | - Paul Werth
- Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
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42
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Kannan S, Sharma S, Ciufo S, Clark K, Turner S, Kitts PA, Schoch CL, DiCuccio M, Kimchi A. Collection and curation of prokaryotic genome assemblies from type strains at NCBI. Int J Syst Evol Microbiol 2023; 73. [PMID: 36748495 DOI: 10.1099/ijsem.0.005707] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
The public sequence databases are entrusted with the dual responsibility of providing an accessible archive to all submitters and supporting data reliability and its re-use to all users. Genomes from type materials can act as an unambiguous reference for a taxonomic name and play an important role in comparative genomics, especially for taxon verification or reclassification. The National Center for Biotechnology Information (NCBI) collects and curates information on prokaryotic type strains and genomes from type strains. The average nucleotide identity (ANI)-based quality control processes introduced at NCBI to verify the genomes from type strains and improve related sequence records are detailed here. Using the curated genomes from type strains as reference, the taxonomy of over 1.1 million GenBank genomes were verified and the taxonomy of over 7000 new submissions before acceptance to GenBank and over 1800 existing genomes in GenBank were reclassified.
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Affiliation(s)
- Sivakumar Kannan
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
| | - Shobha Sharma
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
| | - Stacy Ciufo
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
| | - Karen Clark
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
| | - Seán Turner
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
| | - Paul A Kitts
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
| | - Conrad L Schoch
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
| | - Michael DiCuccio
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
| | - Avi Kimchi
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 9600 Rockville Pike, Bethesda, MD, 20892, USA
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43
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Point-Counterpoint: What's in a Name? Clinical Microbiology Laboratories Should Use Nomenclature Based on Current Taxonomy. J Clin Microbiol 2023; 61:e0173222. [PMID: 36625570 PMCID: PMC9879091 DOI: 10.1128/jcm.01732-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION The mnemonic SPICE (Serratia, Pseudomonas, indole-positive Proteus, Citrobacter, and Enterobacter) has served as a reminder to consider when a Gram-negative organism may carry a chromosomal copy of blaampC, with the associated risk of developing resistance to first-, second-, and third-generation cephalosporins. However, in 2017, there was a well-founded proposal to rename Enterobacter aerogenes to Klebsiella aerogenes, based on whole-genome sequencing (WGS), and the SPICE mnemonic lost its relevance. With the increased use of WGS for taxonomy, it seems like bacteria and fungi are undergoing constant name changes. These changes create unique challenges for clinical microbiology laboratories, who would like to issue reports that are readily understood and that help clinicians determine empirical antibiotic therapy, interpret antimicrobial resistance, and understand clinical significance. In this Point-Counterpoint, Drs. Karen Carroll and Erik Munson discuss the pros of updating bacterial taxonomy and why clinical labs must continue to update reporting, while Drs. Susan Butler-Wu and Sheila Patrick argue for caution in adopting new names for microorganisms.
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44
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Dominguez-Huerta G, Wainaina JM, Zayed AA, Culley AI, Kuhn JH, Sullivan MB. The RNA virosphere: How big and diverse is it? Environ Microbiol 2023; 25:209-215. [PMID: 36511833 PMCID: PMC9852017 DOI: 10.1111/1462-2920.16312] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 12/10/2022] [Indexed: 12/15/2022]
Affiliation(s)
- Guillermo Dominguez-Huerta
- Department of Microbiology, Ohio State University, Columbus, Ohio, USA.,Center of Microbiome Science, Ohio State University, Columbus, Ohio, USA
| | - James M Wainaina
- Department of Microbiology, Ohio State University, Columbus, Ohio, USA.,Center of Microbiome Science, Ohio State University, Columbus, Ohio, USA
| | - Ahmed A Zayed
- Department of Microbiology, Ohio State University, Columbus, Ohio, USA.,Center of Microbiome Science, Ohio State University, Columbus, Ohio, USA
| | - Alexander I Culley
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA
| | - Jens H Kuhn
- Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, Maryland, USA
| | - Matthew B Sullivan
- Department of Microbiology, Ohio State University, Columbus, Ohio, USA.,Center of Microbiome Science, Ohio State University, Columbus, Ohio, USA.,Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, Ohio, USA
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45
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Sahayasheela VJ, Lankadasari MB, Dan VM, Dastager SG, Pandian GN, Sugiyama H. Artificial intelligence in microbial natural product drug discovery: current and emerging role. Nat Prod Rep 2022; 39:2215-2230. [PMID: 36017693 PMCID: PMC9931531 DOI: 10.1039/d2np00035k] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Covering: up to the end of 2022Microorganisms are exceptional sources of a wide array of unique natural products and play a significant role in drug discovery. During the golden era, several life-saving antibiotics and anticancer agents were isolated from microbes; moreover, they are still widely used. However, difficulties in the isolation methods and repeated discoveries of the same molecules have caused a setback in the past. Artificial intelligence (AI) has had a profound impact on various research fields, and its application allows the effective performance of data analyses and predictions. With the advances in omics, it is possible to obtain a wealth of information for the identification, isolation, and target prediction of secondary metabolites. In this review, we discuss drug discovery based on natural products from microorganisms with the help of AI and machine learning.
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Affiliation(s)
- Vinodh J Sahayasheela
- Department of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-Ku, Kyoto 606-8502, Japan.
| | - Manendra B Lankadasari
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Vipin Mohan Dan
- Microbiology Division, Jawaharlal Nehru Tropical Botanic Garden and Research Institute, Thiruvananthapuram, Kerala, India
| | - Syed G Dastager
- NCIM Resource Centre, Division of Biochemical Sciences, CSIR - National Chemical Laboratory, Pune, Maharashtra, India
| | - Ganesh N Pandian
- Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Yoshida-Ushinomaecho, Sakyo-Ku, Kyoto 606-8501, Japan
| | - Hiroshi Sugiyama
- Department of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-Ku, Kyoto 606-8502, Japan.
- Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Yoshida-Ushinomaecho, Sakyo-Ku, Kyoto 606-8501, Japan
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46
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Gtari M. Taxogenomic status of phylogenetically distant Frankia clusters warrants their elevation to the rank of genus: A description of Protofrankia gen. nov., Parafrankia gen. nov., and Pseudofrankia gen. nov. as three novel genera within the family Frankiaceae. Front Microbiol 2022; 13:1041425. [PMID: 36425027 PMCID: PMC9680954 DOI: 10.3389/fmicb.2022.1041425] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 10/12/2022] [Indexed: 11/10/2022] Open
Abstract
The genus Frankia is at present the sole genus in the family Frankiaceae and encompasses filamentous, sporangia-forming actinomycetes principally isolated from root nodules of taxonomically disparate dicotyledonous hosts named actinorhizal plants. Multiple independent phylogenetic analyses agree with the division of the genus Frankia into four well-supported clusters. Within these clusters, Frankia strains are well defined based on host infectivity range, mode of infection, morphology, and their behaviour in culture. In this study, phylogenomics, overall genome related indices (OGRI), together with available data sets for phenotypic and host-plant ranges available for the type strains of Frankia species, were considered. The robustness and the deep radiation observed in Frankia at the subgeneric level, fulfilling the primary principle of phylogenetic systematics, were strengthened by establishing genome criteria for new genus demarcation boundaries. Therefore, the taxonomic elevation of the Frankia clusters to the rank of the genus is proposed. The genus Frankia should be revised to encompass cluster 1 species only and three novel genera, Protofrankia gen. nov., Parafrankia gen. nov., and Pseudofrankia gen. nov., are proposed to accommodate clusters 2, 3, and 4 species, respectively. New combinations for validly named species are also provided.
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Affiliation(s)
- Maher Gtari
- USCR Bactériologie Moléculaire & Génomique, Institut National des Sciences Appliquées et de Technologie, Université de Carthage, Tunis, Tunisia
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47
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Advanced prokaryotic systematics: the modern face of an ancient science. New Microbes New Infect 2022; 49-50:101036. [DOI: 10.1016/j.nmni.2022.101036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 11/13/2022] Open
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48
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Advances in Novel Animal Vitamin C Biosynthesis Pathways and the Role of Prokaryote-Based Inferences to Understand Their Origin. Genes (Basel) 2022; 13:genes13101917. [PMID: 36292802 PMCID: PMC9602106 DOI: 10.3390/genes13101917] [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] [Received: 09/20/2022] [Revised: 10/17/2022] [Accepted: 10/18/2022] [Indexed: 11/04/2022] Open
Abstract
Vitamin C (VC) is an essential nutrient required for the optimal function and development of many organisms. VC has been studied for many decades, and still today, the characterization of its functions is a dynamic scientific field, mainly because of its commercial and therapeutic applications. In this review, we discuss, in a comparative way, the increasing evidence for alternative VC synthesis pathways in insects and nematodes, and the potential of myo-inositol as a possible substrate for this metabolic process in metazoans. Methodological approaches that may be useful for the future characterization of the VC synthesis pathways of Caenorhabditis elegans and Drosophila melanogaster are here discussed. We also summarize the current distribution of the eukaryote aldonolactone oxidoreductases gene lineages, while highlighting the added value of studies on prokaryote species that are likely able to synthesize VC for both the characterization of novel VC synthesis pathways and inferences on the complex evolutionary history of such pathways. Such work may help improve the industrial production of VC.
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Ranjan A, Arora J, Chauhan A, Basniwal RK, Kumari A, Rajput VD, Prazdnova EV, Ghosh A, Mukerjee N, Mandzhieva SS, Sushkova S, Minkina T, Jindal T. Advances in characterization of probiotics and challenges in industrial application. Biotechnol Genet Eng Rev 2022:1-44. [PMID: 36200338 DOI: 10.1080/02648725.2022.2122287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/05/2022] [Indexed: 11/02/2022]
Abstract
An unbalanced diet and poor lifestyle are common reasons for numerous health complications in humans. Probiotics are known to provide substantial benefits to human health by producing several bioactive compounds, vitamins, short-chain fatty acids and short peptides. Diets that contain probiotics are limited to curd, yoghurt, kefir, kimchi, etc. However, exploring the identification of more potential probiotics and enhancing their commercial application to improve the nutritional quality would be a significant step to utilizing the maximum benefits. The complex evolution patterns among the probiotics are the hurdles in their characterization and adequate application in the industries and dairy products. This article has mainly discussed the molecular methods of characterization that are based on the analysis of ribosomal RNA, whole genome, and protein markers and profiles. It also has critically emphasized the emerging challenges in industrial applications of probiotics.
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Affiliation(s)
- Anuj Ranjan
- Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia
| | - Jayati Arora
- Amity Institute of Environmental Sciences, Amity University, Noida, India
| | - Abhishek Chauhan
- Amity Institute of Environmental Toxicology Safety and Management, Amity University, Noida, India
| | - Rupesh Kumar Basniwal
- Amity Institute of Advanced Research and Studies (M&D), Amity University, Noida, India
| | - Arpna Kumari
- Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia
| | - Vishnu D Rajput
- Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia
| | - Evgeniya V Prazdnova
- Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia
| | - Arabinda Ghosh
- Microbiology Division, Department of Botany, Gauhati University, Guwahati, India
| | - Nobendu Mukerjee
- Department of Microbiology, Ramakrishna Mission Vivekananda Centenary College, Kolkata, India
- Department of Health Sciences, Novel Global Community Educational Foundation, New South Wales, Australia
| | - Saglara S Mandzhieva
- Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia
| | - Svetlana Sushkova
- Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia
| | - Tatiana Minkina
- Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia
| | - Tanu Jindal
- Amity Institute of Environmental Toxicology Safety and Management, Amity University, Noida, India
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50
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Arizala D, Dobhal S, Alvarez AM, Arif M. Elevation of Clavibacter michiganensis subsp. californiensis to species level as Clavibacter californiensis sp. nov., merging and re-classification of Clavibacter michiganensis subsp. chilensis and Clavibacter michiganensis subsp. phaseoli as Clavibacter phaseoli sp. nov. based on complete genome in silico analyses. Int J Syst Evol Microbiol 2022; 72. [DOI: 10.1099/ijsem.0.005427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The Gram-positive genus
Clavibacter
is currently divided into seven species (
Clavibacter michiganensis
,
Clavibacter nebraskensis
,
Clavibacter capsici
,
Clavibacter sepedonicus
,
Clavibacter tessellarius
,
Clavibacter insidiosus
and
Clavibacter zhangzhiyongii
) and three subspecies (
C. michiganensis
subsp.
californiensis
,
C. michiganensis
subsp.
chilensis
and
C. michiganensis
subsp.
phaseoli
). Recent studies have indicated that the taxonomic rank of the subspecies must be re-evaluated. In this research, we assessed the taxonomic position of the three
C. michiganensis
subspecies and clarified the taxonomic nomenclature of other 75
Clavibacter
strains. The complete genomes of the type strains of the three
Clavibacter
subspecies, the type strain of
C. tessellarius
and
C. nebraskensis
A6096 were sequenced using PacBio RSII technology. Application of whole-genome-based computational approaches such as average nucleotide identity (ANI), digital DNA–DNA hybridization, multi-locus sequence analysis of seven housekeeping genes (acnA, atpD, bipA, icdA, mtlD, recA and rpoB), a phylogenomic tree reconstructed from 1 028 core genes, and ANI-based phylogeny provided sufficient justification for raising
C. michiganensis
subsp.
californiensis
to the species level. These results led us to propose the establishment of Clavibacter californiensis sp. nov. as a species with its type strain C55T (=CFBP 8216T=ATCC BAA-2691T). Moreover, the orthologous and in silico dot plot analyses, along with the above described bioinformatic strategies, revealed a high degree of similarity between
C. michiganensis
subsp.
chilensis
and
C. michiganensis
subsp.
phaseoli
. Based on these analyses, we propose that both subspecies be combined into a single taxon and elevated to the species level as Clavibacter phaseoli sp. nov., with LPPA 982T (= CECT 8144T= LMG 27667T) as the type strain.
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Affiliation(s)
- Dario Arizala
- Department of Plant and Environmental Protection Sciences, University of Hawai'i at Manoa, Honolulu, HI 96822, USA
| | - Shefali Dobhal
- Department of Plant and Environmental Protection Sciences, University of Hawai'i at Manoa, Honolulu, HI 96822, USA
| | - Anne M. Alvarez
- Department of Plant and Environmental Protection Sciences, University of Hawai'i at Manoa, Honolulu, HI 96822, USA
| | - Mohammad Arif
- Department of Plant and Environmental Protection Sciences, University of Hawai'i at Manoa, Honolulu, HI 96822, USA
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