16S ribosomal RNA

Atomic structure of the 30S Subunit from Thermus thermophilus. Proteins are shown in blue and the single RNA strand in orange.[1]

16S ribosomal RNA (or 16S rRNA) is a component of the 30S small subunit of prokaryotic ribosomes. The genes coding for it are referred to as 16S rDNA and are used in reconstructing phylogenies, due to the slow rates of evolution of this region of the gene.[2] Carl Woese and George E. Fox were two of the people who pioneered the use of 16S rRNA in phylogenies.[3]

Multiple sequences of 16S rRNA can exist within a single bacterium.[4]

Functions

It has several functions:

Structure

Universal primers

The 16S rRNA gene is used for phylogenetic studies[5] as it is highly conserved between different species of bacteria and archaea.[6] Carl Woese pioneered this use of 16S rRNA.[2] Some (hyper)thermophilic archaea (i.e. order Thermoproteales) contain 16S rRNA gene introns that are located in highly conserved regions and can impact the annealing of "universal" primers.[7] Mitochondrial and chloroplastic rRNA are also amplified.

The most common primer pair was devised by Weisburg et al.[5] and is currently referred to as 27F and 1492R; however, for some applications shorter amplicons may be necessary for example for 454 sequencing with Titanium chemistry (500-ish reads are ideal) the primer pair 27F-534R covering V1 to V3.[8] Often 8F is used rather than 27F. The two primers are almost identical, but 27F has an M instead of a C. AGAGTTTGATCMTGGCTCAG compared with 8F.[9]

Primer name Sequence (5'-3') Reference
8F AGA GTT TGA TCC TGG CTC AG [10][11]
U1492R GGT TAC CTT GTT ACG ACT T same as above
928F TAA AAC TYA AAK GAA TTG ACG GG [12]
336R ACT GCT GCS YCC CGT AGG AGT CT as above
1100F YAA CGA GCG CAA CCC
1100R GGG TTG CGC TCG TTG
337F GAC TCC TAC GGG AGG CWG CAG
907R CCG TCA ATT CCT TTR AGT TT
785F GGA TTA GAT ACC CTG GTA
805R GAC TAC CAG GGT ATC TAA TC
533F GTG CCA GCM GCC GCG GTA A
518R GTA TTA CCG CGG CTG CTG G
27F AGA GTT TGA TCM TGG CTC AG [13]
1492R CGG TTA CCT TGT TAC GAC TT as above

PCR applications

In addition to highly conserved primer binding sites, 16S rRNA gene sequences contain hypervariable regions that can provide species-specific signature sequences useful for identification of bacteria.[14][15] As a result, 16S rRNA gene sequencing has become prevalent in medical microbiology as a rapid and cheap alternative to phenotypic methods of bacterial identification.[16] Although it was originally used to identify bacteria, 16S sequencing was subsequently found to be capable of reclassifying bacteria into completely new species,[17] or even genera.[18][19] It has also been used to describe new species that have never been successfully cultured.[20][21]

16S ribosomal databases

The 16S rRNA gene is used as the standard for classification and identification of microbes, because it is present in most microbes and shows proper changes. Type strains of 16S rRNA gene sequences for most bacteria and archaea are available on public databases such as NCBI. However, the quality of the sequences found on these databases are often not validated. Therefore, secondary databases that collect only 16S rRNA sequences are widely used. The most frequently used databases are listed below:

EzTaxon-e

http://eztaxon-e.ezbiocloud.net/ The EzTaxon-e database is an extension of the original EzTaxon database. It contains comprehensive 16S rRNA gene sequences of taxa with valid names as well as sequences of uncultured taxa. EzTaxon-e contains complete hierarchical taxonomic structure (from phylum rank to species rank) for the domain of bacteria and archaea.[22]

Ribosomal Database Project

http://rdp.cme.msu.edu/ The Ribosomal Database Project (RDP) is a curated database that offers ribosome data along with related programs and services. The offerings include phylogenetically ordered alignments of ribosomal RNA (rRNA) sequences, derived phylogenetic trees, rRNA secondary structure diagrams and various software packages for handling, analyzing and displaying alignments and trees. The data are available via ftp and electronic mail. Certain analytic services are also provided by the electronic mail server.[23]

SILVA

SILVA provides comprehensive, quality checked and regularly updated datasets of aligned small (16S/18S, SSU) and large subunit (23S/28S, LSU) ribosomal RNA (rRNA) sequences for all three domains of life as well as a suite of search, primer-design and alignment tools (Bacteria, Archaea and Eukarya).[24]

Greengenes

Greengenes is a quality controlled, comprehensive 16S reference database and taxonomy based on a de novo phylogeny that provides standard operational taxonomic unit sets. The official home page for the site is http://greengenes.secondgenome.com, and is licensed under the Creative Commons BY-SA 3.0 license.[25][26]

References

  1. Schluenzen F, Tocilj A, Zarivach R, Harms J, Gluehmann M, Janell D, Bashan A, Bartels H, Agmon I, Franceschi F, Yonath A Structure of functionally activated small ribosomal subunit at 3.3 angstroms resolution (2000). "Structure of functionally activated small ribosomal subunit at 3.3 angstroms resolution". Cell 102 (5): 615–23. doi:10.1016/S0092-8674(00)00084-2. PMID 11007480.
  2. 1 2 Woese, C. R.; G. E. Fox (1977-11-01). "Phylogenetic structure of the prokaryotic domain: The primary kingdoms". Proceedings of the National Academy of Sciences 74 (11): 5088–5090. Bibcode:1977PNAS...74.5088W. doi:10.1073/pnas.74.11.5088. ISSN 0027-8424. PMC 432104. PMID 270744.
  3. Woese, Carl R.; Kandler, O; Wheelis, M (1990). "Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya". Proc Natl Acad Sci USA 87 (12): 4576–9. Bibcode:1990PNAS...87.4576W. doi:10.1073/pnas.87.12.4576. PMC 54159. PMID 2112744.
  4. Case RJ, Boucher Y, Dahllöf I, Holmström C, Doolittle WF, Kjelleberg S (January 2007). "Use of 16S rRNA and rpoB Genes as Molecular Markers for Microbial Ecology Studies". Appl. Environ. Microbiol. 73 (1): 278–88. doi:10.1128/AEM.01177-06. PMC 1797146. PMID 17071787.
  5. 1 2 Weisburg WG, Barns SM, Pelletier DA, Lane DJ (January 1991). "16S ribosomal DNA amplification for phylogenetic study". J Bacteriol. 173 (2): 697–703. PMC 207061. PMID 1987160.
  6. Coenye T, Vandamme P (November 2003). "Intragenomic heterogeneity between multiple 16S ribosomal RNA operons in sequenced bacterial genomes". FEMS Microbiol. Lett. 228 (1): 45–49. doi:10.1016/S0378-1097(03)00717-1. PMID 14612235.
  7. Jay ZJ and Inskeep WP. (July 2015). "The distribution, diversity, and importance of 16S rRNA gene introns in the order Thermoproteales.". BiologyDirect 10 (35). doi:10.1186/s13062-015-0065-6. PMID 26156036.
  8. http://www.hmpdacc.org/tools_protocols.php#sequencing
  9. Primers, 16S ribosomal DNA - François Lutzoni's Lab
  10. Eden PA, Schmidt TM, Blakemore RP, Pace NR (1991). "Phylogenetic Analysis of Aquaspirillum magnetotacticum Using Polymerase Chain Reaction-Amplified 16S rRNA-Specific DNA". Int J Syst Bacteriol. 41 (2): 324–325. doi:10.1099/00207713-41-2-324. PMID 1854644.
  11. Universal Bacterial Identification by PCR and DNA Sequencing of 16S rRNA Gene. PCR for Clinical Microbiology, 2010, Part 3, 209-214
  12. Weidner S, Arnold W, Pühler A (1996). "Diversity of uncultured microorganisms associated with the seagrass Halophila stipulacea estimated by restriction fragment length polymorphism analysis of PCR-amplified 16S rRNA genes" (PDF). Appl Environ Microbiol 62 (3): 766–71.
  13. Jiang, H.; Dong, H.; Zhang, G.; Yu, B.; Chapman, L. R.; Fields, M. W. (2006). "Microbial Diversity in Water and Sediment of Lake Chaka, an Athalassohaline Lake in Northwestern China". Applied and Environmental Microbiology 72 (6): 3832–3845. doi:10.1128/AEM.02869-05. PMC 1489620. PMID 16751487.
  14. Pereira, F.; Carneiro, J.; Matthiesen, R.; van Asch, B.; Pinto, N.; Gusmao, L.; Amorim, A. (4 October 2010). "Identification of species by multiplex analysis of variable-length sequences". Nucleic Acids Research 38 (22): e203–e203. doi:10.1093/nar/gkq865.
  15. Kolbert, CP; Persing, DH (June 1999). "Ribosomal DNA sequencing as a tool for identification of bacterial pathogens". Current Opinion in Microbiology 2 (3): 299–305. doi:10.1016/S1369-5274(99)80052-6. PMID 10383862.
  16. J. E. Clarridge III (2004). "Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases". Clin Microbiol Rev 17 (4): 840–862. doi:10.1128/CMR.17.4.840-862.2004. PMC 523561. PMID 15489351.
  17. Ting Lu, Peter G. Stroot, Daniel B. Oerther (2009). "Reverse Transcription of 16S rRNA To Monitor Ribosome-Synthesizing Bacterial Populations in the Environment". Appl Environ Microbiol. 75 (13): 4589–4598. doi:10.1128/AEM.02970-08. PMC 2704851. PMID 19395563.
  18. Weisburg WG, Barns SM, Pelletier DA, Lane DJ (1991). "16S ribosomal DNA amplification for phylogenetic study". J Bacteriol 173 (2): 697–703. PMC 207061. PMID 1987160.
  19. Brett P J, DeShazer D, Woods DE (1998). "Burkholderia thailandensis sp. nov., a Burkholderia pseudomallei-like species". Int J Syst Bacteriol 48 (1): 317–320. doi:10.1099/00207713-48-1-317. PMID 9542103.
  20. Schmidt TM, Relman DA (1994). "Phylogenetic identification of uncultured pathogens using ribosomal RNA sequences". Methods Enzymol. Methods in Enzymology 235: 205–22. doi:10.1016/0076-6879(94)35142-2. ISBN 978-0-12-182136-4. PMID 7520119.
  21. Gray JP, Herwig RP (1996). "Phylogenetic analysis of the bacterial communities in marine sediments". Appl Environ Microbiol 62 (11): 4049–59. PMC 168226. PMID 8899989.
  22. Chun, J.; Lee, J.-H.; Jung, Y.; Kim, M.; Kim, S.; Kim, B. K.; Lim, Y. W. (2007). "EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences". Int J Syst Evol Microbiol 57: 2259–2261. doi:10.1099/ijs.0.64915-0.
  23. Larsen N, Olsen GJ, Maidak BL, McCaughey MJ, Overbeek R, Macke TJ, Marsh TL, Woese CR. (1993) The ribosomal database project. Nucleic Acids Res. Jul 1;21(13):3021-3.
  24. Elmar Pruesse, Christian Quast, Katrin Knittel, Bernhard M. Fuchs, Wolfgang Ludwig, Jörg Peplies, Frank Oliver Glöckner (2007) Nucleic Acids Res. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. December; 35(21): 7188–7196.
  25. DeSantis, T. Z.; Hugenholtz, P.; Larsen, N.; Rojas, M.; Brodie, E. L.; Keller, K.; Huber, T.; Dalevi, D.; Hu, P.; Andersen, G. L. (2006). "Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB". Appl Environ Microbiol 72: 5069–72. doi:10.1128/aem.03006-05.
  26. McDonald, D; Price, MN; Goodrich, J; Nawrocki, EP; DeSantis, TZ; Probst, A; Andersen, GL; Knight, R; Hugenholtz, P (2011). "An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea". ISME 6: 610–618. doi:10.1038/ismej.2011.139.

External links

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