Techniques of bacterial taxonomy Yuhua Xin China General Microbiological Culture Collection Center (CGMCC) Institute of Microbiology Chinese Academy of Sciences Hug et al. present a new view of the tree of life, revealing the existence of two extraordinarily diverse and poorly characterized prokaryotic lineages: CPR bacteria (blue) and DPANN archaea (purple). Bacterial Taxonomy • Microbiol taxonomy is a science of study and grouping of microorganisms. • Bacterial Taxonomy concludes three separate but interrelated areas – Classification • Arrangement of organisms into groups (taxa) on the basis of similarities or relationships. – Identification • Process of characterizing organisms to determine an isolate as a member of an established taxon or a previously unidentified species. – Nomenclature • Assignment of a specific name according to international rules (International Code of Nomenclature of Bacteria[Sneath,1992]). Bacterial Taxonomy • Bacterial taxonomy incorporates multiple methods for identification and description of new species • The polyphasic approach to taxonomy uses three methods 1) Phenotypic analysis 2) Genotypic analysis 3) Phylogenetic analysis Polyphasic Taxonomy – Phenotypic characteristics • Morphological data • physiological and biochemical data • Chemotaxonomic characteristics Fatty acid analysis The patterns of polar lipids present in the membrans Composition of cell wall – Genotypic characteristics • • • • DNA-DNA Hybridization the guanine (G)+ cytosine (C) content (% GC). Multilocus Sequence Typing (MLST) DNA profiling – Phylogenetic Analysis • 16S rRNA gene sequence analysis • Multi-gene sequence analysis • Whole-genome sequence analysis The Species Concept in Microbiology • No universally accepted concept of species for prokaryotes • Current definition of prokaryotic species – Collection of strains sharing a high degree of similarity in several independent traits • Most important traits include: 70% or greater DNA-DNA hybridization and 98.5 % or greater 16S rRNA gene sequence identity Some Phenotypic Characteristics of Taxonomic Value Some Phenotypic Characteristics of Taxonomic Value Other Chemical characterization: Peptidoglycan, Polyamines, techoic acids, mycolic acids, Lipopolysaccharides Phenotypic characteristics Morphology Microscopic morphology Cell morphology: rod, coccus, or spirillum Cell arrangement: diplococcus, streptococcus, tetrad, sarcina, irregular clusters (Micrococcus or staphycoccus) Special cell structures: flagellum, cilia, spore, capsule cocci • Morphology • Morphological criteria Scanning electron micrograph • Cell shape and size – supported by photographs • Characteristic features (eg. stalks, prosthecae, budding or branching, cell aggregates ) • Spore formation 5.0 μm • Location of flagella 5.0 μm • Motility (form, speed) • Intracellular structures • Colony shape and size • Cellular pigments 500 nm 5.0 μm 200 nm Colony morphology : Colonies can exhibit macroscopic differences colour, size, shape, margin or edge, surface feature etc. Slant culture morphology • Morphology Staining • Gram stain (the reaction may alter as the cells age) • Acid-fast staining (strains containing mycolic acids) • Sudan Black staining (stains containing lipophilic cellular inclusions, eg. polyhydroxybutyric acid) • Others (eg. spore staining, capsule staining) Phenotypic characteristics physiological and biochemical data • Physiology and biochemistry • The growth tolerance (eg. pH, temperature, NaCl concentration) • Enzyme activity, substrate utilization, antibiotics resistance, etc. Fast methods: API and Biology test plates. Note: • To test with identical media and conditions or at least comparable. • To compare with type strain of type species of appropriate genera. • To analyze including strains of the most closely related taxa rather than using the previously published data. Traditional methods Nitrate Reduction Carbohydrate Fermentation VP test MR test Urease detection Traditional methods Nitrate reduction Citrate utilization Indole prudution Antibiotic sensitivity the ability of a microorganism to withstand the effects of an antibiotic on agar plates (Whether bacteria are susceptible, intermediate, or resistant depends on the amount of antibiotic and the diameter of zone of inhibition). Serological analysis • Proteins and polysaccharides of some bacteria can function as identifying markers – Generally molecules on surface structures • e.g., Cell wall, glycocalyx, flagella, pili – Detection is based upon the specific interaction between antibodies and these antigens • e.g., Rapid detection of Streptococcus pyogenes Disadvantages of traditional methods Need experience Complicated process Labor-consuming Time-consuming How to perform and interpret the miniaturized, multi-test technique for bacterial identification? Rapid Tests • Commercial modifications of traditional biochemical tests • APITM system • Biolog Microbial ID System • The API identification system is numerical taxonomy according to the microbial physiological and biochemical characteristics. • The API tests (kit) can identify a wide range of microorganisms. • Have standardized and extensive databases of characteristic biochemical reactions of microorganisms. commercial products for bacteria identification The API identification system is numerical taxonomy according to the microbial physiological and biochemical characteristics. • API 50 CH – Performance of carbohydrate metabolism tests • API ZYM® – Semiquantification of enzymatic activities API 20E – 11 biochemical tests and enzymatic activities, 9 Fermentation/Oxidation ……. suspension reagents incubation chamber eg. API 20E reaction strip Isolate Prepare Positive Read Incubate Negative 15 Bacteria, Yeast and Fungi Identification The Biolog Microbial ID System can rapidly identify over 2,500 species of aerobic and anaerobic bacteria, yeasts and fungi. Tetrazolium redox dyes are used to colorimetrically indicate utilization of the carbon sources or resistance to inhibitory chemicals. simple, straightforward procedure 1. Isolate pure culture on agar media 2. Prepare inoculum at specified cell density 3. Inoculate the Biolog MicroPlate 4. Incubate the plate, observe and enter the reaction pattern to obtain ID result • Commercial systems are very accurate for the more common species and provide quick test results in a costeffective manner. • The MicroStation System has extensive applications also for microbial community analysis in soil, water and other environments. The importance of growth phenotypes Cornerstone of microbial taxonomy • Bacterial identification • Microbial ecology • Evolution • Cultivate more unknown bacteria The importance of growth phenotypes • With the publication of the first edition of the Bergey's Manual of Determinative Bacteriology in 1923, microbiologists began to systematically describe and define bacterial species based on lists of phenotypes, primarily growth related. • 1926, L.E. den Dooren de Jong showed that bacteria could be readily distinguished by growth assays on agar media with several hundred C- and N-sources. Challenges in phenotypic identification 1. As the number of newly described taxa increased substantially, a problem with commercial systems is the construction of databases 700 500 400 300 200 100 0 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Species validly published 600 Challenges in phenotypic identification 2. Phenotypic properties do not accurately reflect the entire extent of the genomic complexity of a given species 3. Phenotypic properties can be unstable at times and expression can be dependent upon changes in environmental conditions, e.g., growth substrate, temperature, and pH levels 4. Can be used only for organisms that can be cultivated in vitro M.J. Janda & S.L. (2002), J. Clin. Microbiol. Phenotypic characteristics Chemical characterization Fatty Acid Analyses – Relies on variation in type and proportion of fatty acids present in membrane lipids for specific prokaryotic groups – Requires rigid standardization because FAME profiles can vary as a function of temperature, growth phase, and growth medium MIDI Sherlock® Microbial Identification System Procedure of fatty acids analysis Cultivation of bacteria The growth temperature and growth media effect the fatty acids compositions, culture conditions must be standardized for all strains and strains were collected at the same logarithm growth period, when comparing the fatty acid composition within a group of bacteria Preparation of fatty-acid methyl esters (FAMEs) Fatty acids Saponification /Methylation FAMES Identification of fatty acids GC analysis and identified by MIDI system Respiratory quinones Fig. 1. Nature Reviews Molecular Cell Biology 2002,3, 836-847 • Respiratory quinones: a group of non protein, lipid-soluble electron carriers in the respiratory electron-transport system. • Function: promote the transfer of electrons between the proteins of the electron-transport chain. • Distribution: in both anaerobic and aerobic organisms within the Bacteria and Archaea. • Type: divided into two basic structural classes, benzoquinones and naphthoquinones . Benzoquinones Ubiquinone (Q-n) Naphthoquinones Menaquinone (MK-n) n Plastoquinone Demethylmenaquinone (DMK) (DMMK-) Rhodoquinone (RQ) Thermoaquinone Caldariellaquinone Chlorobiumquinone (CK ) Sulfolobusquinone Epoxyubiquinone Methionaquinone Partially hydrogenated menaquinone (MK-n(Hm)) Ubiquinone and Menaquinone Ubiquinone and menaquinone are abbreviated as Q-n and MK-n(Hm); n is the number of isoprene units and m is the number of hydrogen atoms substituting unsaturated bond. Ubiquinone: Q-n Menaquinone: MK-n(Hm) Ubiquinone ( Coenzyme Q, Co Q or Q ) Menaquinone: MK-n ---Ubiquinones: aerobic Gram-negative, α-, β-, γ- group of Proteobacteria &rodshaped acetic acid bacteria; --- Most Gram-positive bacteria and anaerobic Gramnegative bacteria, ---Rhodoquinone (RQ): photosynthetic bacteria, --- Archeae: dementhylmenaquinone (DMK), ---the number of isoprenoid units in side-chain arevariable (Q-7-Q-14). --- Actinomycetes: partially hydrogenated MK, --- A variable number of isoprenoid residues: MK-5-15. Respiratory quinones profiles of bacteria Taxon Main Quinone System Proteobacteria α-Subcalss Agrobacterium Rhodomicrobium vannielii Rhodopseudomonas acidophila Q-10 Q-10+RQ-10 Q-10+RQ-10+MK-10 β- Subclass Alcaligenes Brachymonas, Zoogloea Rhodocyclus, Rubrivivax Q-8 Q-8+RQ-8 Q-8+ MK-8 γ- Subclass Acinetobacter, Pseudomonas Azotobacter Chromatiaceae Ectothiorhodospiraceae Enterobacteriaceae Vibrio Q-9 Q-8, Q-8+MK-8 Q-7+MK-7, Q-8+ MK-8 Q-8+MK-8 +DMK-8 Q-8+MK-8( +DMK-8) δ- Subclass Desulfobulbus Desulfococcus Desulfovibrio MK-5(H2) MK-7 MK-6, MK-6(H2) Respiratory quinones profiles of the bacteria Taxon Gram (+) bacteria Main Quinone system Low G+C content group Bacillus Enterococcus MK-7 MK-8 , DMK-9 High G+C content group Arthrobacter Aureobacterium Corynebacterium Kribbella Streptomyces MK-9(H2) MK-11+MK12 MK-8(H2), MK-9(H2) MK-9(H4) MK-9(H6), MK-9(H8) Cyanobacteria Nostoc PQ-9+K1 Spirosoma group Spirosoma MK-7 Bacteroides/Flavobacteria group Bacteroides Capnocytophaga Flavobacterium/Cytophaga Sphingobacterium MK-10+MK-11 MK-6 MK-6+MK-7 MK-7 Others Chlorobium Chloroflexus Deinobacter MK-7+CK MK-10+MK-8 MK-8 Identification of quinones (HPLC) Polar lipids analysis There is a vast diversity of polar lipids now known to be present in prokaryotes. Phospholipids form an essential component of the cell membrane. Be related to permeability of the membrane and regulation at the membrane. bacause they possess not only a hydrophobic region but also a hydrophilic region on the molecule. They show a distinctive amphipathic characteristics. The polar lipids known to occur in bacteria: ---phospholipids, ---glycolipids, ---glycophospholipids, ---aminophospholipids, ---amino acid derived lipids, ---capnines, ---sphingolipids, ---sulfur-containing lipids. Structure of PC (phosphatidylcholine ) The mainly kinds of polar lipids in bacterial cell Phospholipids: PC (phosphatidylcholine), PE (phosphatidylethanolamine), PI (phosphatidylinositol), PG (phosphatidyglycerol), PS (phosphatidylserine), PME (phosphatidylmethylethanolamine), PIMs (phosphatidylinositol mannosides), DPG (diphosphatidylglycerol), PB (phosphatidylbutanediol), PA (phosphatidic acid, phosphatidate) Fatty acids Glycerol backbone Inositol head group PI (phosphatidylinositol) Glycolipids: PI (phosphatidylinositol), PIMs (phosphatidylinositol mannosides) etc. Aminolipids ( free amino groups): PE (phosphatidylethanolamine), PS (phosphatidylserine), PME (phosphatidylmethylethanoamine), PE (phosphatidylethanolamino) polar lipids for taxonomy (Phosphatidyl ethanolamine, PE) (Phosphatidyl choline, PC) (Lechevallier, 1980) ( Phosphatidyl methy ethanolamine, PME) (Phosphatidyl glycerol, PG) (Phospholipids of unknown structure containing glucosamine, GluNu) Common polar lipids appeared in bacteria α-, β-, γ- group of Proteobacteria: generally posses three major phospholipids: PG, PE and DPG. Firmicutes and Actinobacteria: complex mixtures of polar lipids. Bacillus, Rhodococcus, Nocardia, Mycobacterium, Planococcus and Sporosarcina contain PE. Corynebacterium, Micrococcus and Staphlococcus do not contain PE. Bacterial Cell Wall • Peptidoglycan Types • Amino acid – Diamino acid meso-DAP, LL-DAP, Lysine, Ornithine, OH-lysine, OH-ornithine, OH-DAP, DAB, Lanthionine, Diaminopimelic acid – Composition – Sequence • Acyl type • Cell wall sugar (family, genus, species) arabinose, galactose, xylose, madurose(3-O-methyl-D- galactose) etc. Actinomycetes in the 3-O-methylrhamnose, 2-O-methylrhamnose, etc. IJSEM, 2002, 52(3): 1049-1070 References: 1. Schleifer, K. H. and Kandler, O. (1972) Peptidoglycan types of bacterial cell walls and their taxonomic implications. Bacteriol Reviews. 36, 407-477 . 2. Minikin, D. E. et al. (1984 ) An intergrated procedure for the extraction of bacterial isoprenoid quinones and polar lipids J. Microbiol Methods. 2, 233-241. 3. Tindall, B. J., Rossello-Mora, R., Busse, H,-J., Ludwig, W. and Kampfer, P. (2010) Note on the characterization of prokaryote strains for taxonomic purposes. Int J Syst Evol Microbiol 60, 249-266. 4. Komagta, K. and Suzuki K.-I. (1987) Lipid and cell-wall analysis in bacterial systematics Methods Miceobiol 19, 161-203. 5. Michael Goodfellow and Anthony G. O’ Donnell Chemical Methods in Prokaryotic Systematics. Genetic-based characterization • Several methods of genotypic analysis are available and used • DNA-DNA Hybridization • the guanine (G)+ cytosine (C) content (% GC). • Multilocus Sequence Typing (MLST) • DNA profiling Genotypic Methods DNA-DNA hybridization • Genomes of two organisms are hybridized to examine proportion of similarities in their gene sequences – Provides rough index of similarity between two organisms – Useful complement to SSU rRNA gene sequencing – Useful for differentiating very similar organisms – Hybridization values 70% or higher suggest strains belong to the same species G+C content • G+C content- percentage of Guanine (G) and Cytosine (C) base pairs in the genome; • One of the required characteristics of the minimum list of data for a description of a new species; – Vary between 20 and 75% among Bacteria and Archaea; – Generally accepted that if GC content of two strains differ by ~ 5% they are unlikely to be closely related. Methods • paper chromatography method • thermal denaturation temperature method • HPLC method Reference • Marmur, J. & Doty, P. (1962). Determination of the base composition of deoxyribonucleic acid from its thermal denaturation temperature. J Mol Biol 5, 109-118. • Mesbah, M., Premachandran, U. & Whitman, W. B. (1989). Precise measurement of the G+C content of deoxyribonucleic acid by high-performance liquid chromatography. Int J Syst Bacteriol 39, 159-167. • De Ley, J., Cattoir, H. & Reynaerts, A. (1970). The quantitative measurement of DNA hybridization from renaturation rates. Eur J Biochem 12, 133-142. • DNA Profiling – Several methods can be used to generate DNA fragment patterns for analysis of genotypic similarity among strains, including • Ribotyping • RFLP, AFLP • AP-PCR, RAPD • ARDRA, rep-PCR Multilocus Sequence Typing (MLST) – Method in which several different “housekeeping genes” from an organism are sequenced (~450-bp) – Has sufficient resolving power to distinguish between very closely related strains Phylogenetics “Nothing in Biology makes sense except in the light of evolution” (T. Dobzhansky, 1900-1975) “Nothing in evolution makes sense except in the light of phylogenetics” (many phylogenetists) Phylogenetic Analysis • 16S rRNA gene sequence analysis • Multi-gene sequence analysis • Whole-genome sequence analysis Arcticibacter Hh36T(JX949238) 100 Arcticibacter svalbardensis MN12-7T (AQPN01000042) 87 Pedobacter tournemirensis TF5-37.2-LB10T (GU198945) Pedobacter xinjiangensis 12157T (EU734803) 51 Pedobacter zeaxanthinifaciens TDMA-5T (AB264126) Pedobacter lentus DS-40T (EF446146) Pedobacter daechungensis Dae 13T (AB267722) 100 66 Pedobacter terricola DS-45T (EF446147) Pedobacter koreensis WPCB189T (DQ092871) Pedobacter insulae DS-39T (EF100697) 100 Pedobacter boryungensis BR-9T (HM640986) Pedobacter westerhofensis WB3.3-22T (AM491369) 79 68 Pedobacter caeni LMG 22862T (AJ786798) 83 95 0.01 Pedobacter africanus DSM 12126T (AJ438171) Pedobacter duraquae WB2.1-25T (AM491368) Pedobacter steynii WB2.3-45T (AM491372) 16S rRNA gene sequence analysis • The most widely used molecular clocks are small subunit ribosomal RNA (SSU rRNA) genes – Found in all domains of life • 16S rRNA in prokaryotes and 18S rRNA in eukaryotes – Functionally constant – Sufficiently conserved (change slowly) – Sufficient length • Carl Woese – Pioneered the use of SSU rRNA for phylogenetic studies in 1970s – Established the presence of three domains of life: • Bacteria, Archaea, and Eukarya – Provided a unified phylogenetic framework for Bacteria Phylogenetic Analysis——16S rRNA gene • 16S rRNA gene sequences are useful in taxonomy; serve as “gold standard” for the identification and description of new species – Proposed that a bacterium should be considered a new species if its 16S rRNA gene sequence differs by more than 3% from any named strain, and a new genus if it differs by more than 5% – Less than 98.5% 16S similarity indicates different species, but greater than 98.5% does not indicate the same species. Phylogenetic Analysis——Tree Building methods • Phenetic Methods— Distance based – UPGMA – Minimum Evolution – Neighbor Joining – Bayesian analyses • Cladistic Methods— Character Based – Maximum likelihood – Maximum Parsimony Phylogenetic Analysis——Tree Building methods Phylogenetic Analysis——Tree Building methods EzTaxon-e RAxML Multilocus sequence analysis——MLSA MLSA is a method for the genotypic characterization of a diverse group of prokaryotes by comparing sequences of multiple housekeeping genes. Multiple genes provide more informative nucleotide sites and buffers against the distorting effects of recombination of one of the loci. The best approach is to concatenate the sequences of at least 12 genes from a set of strains and to use the concatenated sequences to reconstruct a phylogenetic tree which can identify deeply branching clusters and help to delineate genotypic clustering within a genus or species. Schleifer, Karl Heinz. Syst Appl Microbiol 32.8 (2009): 533-542. Multilocus sequence analysis——MLSA Maiden, et al., Nat Rev Micro. 2013, 11(10): 728-736. Whole-genome sequence analyses • Whole-genome sequence analyses are becoming more common — ANI (average nucleotide identity) has been demonstrated to correlate with DDH, where the range of ~95–96% similarity may reflect the current boundary of 70% DDH similarity (Goris et al., 2007). ANI may substitute for DDH analyses in the near future. Richter M & Rosselló-Móra R. Proc Natl Acad Sci U S A, 2009, 106(45): 19126-19131. Nomenclature – Nomenclature • Assignment of a specific name according to international rules (International Code of Nomenclature of Bacteria[Sneath,1992]). http://www.bacterio.net/ Taxonomy References • Major references in bacterial diversity – Bergey’s Manual of Systematic Bacteriology (Springer) Bergey’s Manual of Determinative Bacteriology Bergey’s Manual of Systematic Bacteriology – The Prokaryotes (Springer) Taxonomy References • • • • • • • NCBI Taxonomy http://www.ncbi.nlm.nih.gov/Taxonomy/ TOBA http://www.taxonomicoutline.org/ Bergey’s Taxonomy http://www.bergeys.org/outlines.html List of Prokaryotic Names with Standing in Nomenclature http://www.bacterio.cict.fr/index.html Bacterial Nomenclature Up-to-Date http://www.dsmz.de/microorganisms/bacterial_nomenclature.php The International Code of Nomenclature of Prokaryotes: http://www.ncbi.nlm.nih.gov/books/bv.fcgi?rid=icnb EzTaxon-e Database http://eztaxon-e.ezbiocloud.net/ Some National Microbial Culture Collections
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