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词条 Transposon sequencing
释义

  1. Methodology

  2. Advantages and disadvantages

  3. Applications

  4. References

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Transposon sequencing (Tn-seq) combines transposon insertional mutagenesis with massively parallel sequencing (MPS) of the transposon insertion sites to identify genes contributing to a function of interest in bacteria.

Transposons are highly regulated, discrete DNA segments that can relocate within the genome. They are universal and are found in Eubacteria, Archaea, and Eukarya, including humans. Transposons have a large influence on gene expression and can be used to determine gene function. In fact, when a transposon inserts itself in a gene, the gene's function will be disrupted.[1] Because of that property, transposons have been manipulated for use in insertional mutagenesis.[2] The development of microbial genome sequencing was a major advance for the use of transposon mutagenesis.[3][4][5] The function affected by a transposon insertion could be linked to the disrupted gene by sequencing the genome to locate the transposon insertion site. Massively parallel sequencing allows simultaneous sequencing of transposon insertion sites in large mixtures of different mutants. Therefore, genome-wide analysis is feasible if transposons are positioned throughout the genome in a mutant collection.[6]

Transposon sequencing requires the creation of a transposon insertion library, which will contain a group of mutants that collectively have transposon insertions in all non-essential genes. The library is grown under the condition that is of interest. Mutants with transposons inserted in genes required for growth under the test condition will diminish in frequency from the population. To identify genes being lost, sequences encompassing the transposon ends are amplified by PCR and sequenced by MPS to determine the location and abundance of each insertion mutation. The importance of each gene for growth under the test condition is determined by comparing the abundance of each mutant before and after growth under the condition being examined.[6] Tn-seq is useful for both the study of a single gene's fitness as well as gene interactions [7]

Signature–tagged mutagenesis (STM) is an older technique that also involves pooling transposon insertion mutants to determine the importance of the disrupted genes under selective growth conditions.[8] High-throughput versions of STM use genomic microarrays, which are less accurate and have a lower dynamic range than massively-parallel sequencing.[9] With the invention of next generation sequencing, genomic data became increasingly available. However, despite the increase in genomic data, our knowledge of gene function remains the limiting factor in our understanding of the role genes play.[10][11] Therefore, a need for a high throughput approach to study genotype-phenotype relationships like Tn-seq was necessary.

Methodology

Transposon sequencing begins by transforming bacterial populations with transposable elements using bacteriophages. Tn-seq uses the Himar I Mariner transposon, a common and stable transposon. After transformation, the DNA is cleaved and the inserted sequence amplified through PCR. The recognition sites for MmeI, a type IIS restriction endonuclease, can be introduced by a single nucleotide change in the terminal repeats of Mariner.[12] It is located 4 bp before the end of the terminal repeat. MmeI makes a 2 bp staggered cut 20 bases downstream of the recognition site.[13] When MmeI digests DNA from a library of transposon insertion mutants, fragmented DNA including the left and right transposon and 16 bp of surrounding genomic DNA is produced. The 16 bp fragment is enough to determine the location of the transposon insertion in the bacterial genome. The ligation of the adaptor is facilitated by the 2 base overhang. A primer specific to the adaptor and a primer specific to the transposon are used to amplify the sequence via PCR. The 120 bp product is then isolated using agarose gel or PAGE purification. Massively parallel sequencing is then used to determine the sequences of the flanking 16 bp.[7] Gene function is inferred after looking at the effects of the insertion on gene function under certain conditions.

Advantages and disadvantages

Unlike high-throughput insertion track by deep sequencing (HITS) and transposon-directed insertion site sequencing (TraDIS), Tn-seq is specific to the Himar I Mariner transposon, and cannot be applied to other transposons or insertional elements.[7] However, the protocol for Tn-seq is less time intensive. HITS and TraDIS use a DNA shearing technique that produce a range of PCR product sizes that could cause shorter DNA templates being preferentially amplified over longer templates. Tn-seq produces a product that is uniform in size, therefore reducing the possibility of PCR bias.[7]

Tn-seq can be used to identify both the fitness of single genes and to map gene interactions in microorganisms. Existing methods for these types of study are dependent on preexisting genomic microarrays or gene knockout arrays, whereas Tn-seq is not. Tn-seq’s utilization of massively parallel sequencing makes this technique easily reproducible, sensitive, and robust.[7]

Applications

Tn-seq has proven to be a useful technique for identifying new gene functions. The highly sensitive nature of Tn-seq can be used to determine phenotype-genotype relationships that may have been deemed insignificant by less sensitive methods. Tn-seq identified essential genes and pathways that are important for the utilization of cholesterol in Mycobacterium tuberculosis.[14]

Tn-seq has been used to study higher order genome organization using gene interactions. Genes function as a highly linked network; in order to study a gene’s impact on phenotype, gene interactions must also be considered. These gene networks can be studied by screening for synthetic lethality and gene interactions where a double mutant shows an unexpected fitness value compared to each individual mutant. Tn-seq was used to determine genetic interactions between five query genes and the rest of the genome in Streptococcus pneumoniae, which revealed both aggravating and alleviating genetic interactions.[6] One of the genes studied (ccpA) was found to interact with 64 other genes and is thought to be a master regulator complex carbohydrate metabolism in Streptococcus pneumoniae.[7]

Tn-seq used in combination with RNA-seq can be utilized to examine the role of non-coding DNA regions. This method identified 56 new sRNAs in non-coding regions of S. pneumoniae.[15]

References

1. ^{{cite journal | vauthors = Hayes F | title = Transposon-based strategies for microbial functional genomics and proteomics | journal = Annual Review of Genetics | volume = 37 | issue = 1 | pages = 3–29 | date = 2003 | pmid = 14616054 | doi = 10.1146/annurev.genet.37.110801.142807 }}
2. ^{{cite journal | vauthors = Kleckner N, Chan RK, Tye BK, Botstein D | title = Mutagenesis by insertion of a drug-resistance element carrying an inverted repetition | journal = Journal of Molecular Biology | volume = 97 | issue = 4 | pages = 561–75 | date = October 1975 | pmid = 1102715 | doi = 10.1016/s0022-2836(75)80059-3 }}
3. ^{{cite journal | vauthors = Bittencourt P, Richens A, Toseland PA, Wicks JF, Latham AN | title = Pharmacokinetics of the hypnotic benzodiazepine, temazepam | journal = British Journal of Clinical Pharmacology | volume = 8 | issue = 1 | pages = 37S-38S | date = 1995 | pmc = 41541 | doi = 10.1073/pnas.92.14.6479 | bibcode = 1995PNAS...92.6479S }}
4. ^{{cite journal | vauthors = Smith V, Chou KN, Lashkari D, Botstein D, Brown PO | title = Functional analysis of the genes of yeast chromosome V by genetic footprinting | journal = Science | volume = 274 | issue = 5295 | pages = 2069–74 | date = December 1996 | pmid = 8953036 | doi = 10.1126/science.274.5295.2069 | bibcode = 1996Sci...274.2069S }}
5. ^{{cite journal | vauthors = Akerley BJ, Rubin EJ, Camilli A, Lampe DJ, Robertson HM, Mekalanos JJ | title = Systematic identification of essential genes by in vitro mariner mutagenesis | journal = Proceedings of the National Academy of Sciences of the United States of America | volume = 95 | issue = 15 | pages = 8927–32 | date = July 1998 | pmid = 9671781 | pmc = 21179 | doi = 10.1073/pnas.95.15.8927 | bibcode = 1998PNAS...95.8927A }}
6. ^{{cite journal | vauthors = van Opijnen T, Camilli A | title = Transposon insertion sequencing: a new tool for systems-level analysis of microorganisms | journal = Nature Reviews. Microbiology | volume = 11 | issue = 7 | pages = 435–42 | date = July 2013 | pmid = 23712350 | pmc = 3842022 | doi = 10.1038/nrmicro3033 }}
7. ^{{cite journal | vauthors = van Opijnen T, Bodi KL, Camilli A | title = Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms | journal = Nature Methods | volume = 6 | issue = 10 | pages = 767–72 | date = October 2009 | pmid = 19767758 | pmc = 2957483 | doi = 10.1038/nmeth.1377 }}
8. ^{{cite journal | vauthors = Mazurkiewicz P, Tang CM, Boone C, Holden DW | title = Signature-tagged mutagenesis: barcoding mutants for genome-wide screens | journal = Nature Reviews. Genetics | volume = 7 | issue = 12 | pages = 929–39 | date = December 2006 | pmid = 17139324 | doi = 10.1038/nrg1984 }}
9. ^{{cite journal | vauthors = Barquist L, Boinett CJ, Cain AK | title = Approaches to querying bacterial genomes with transposon-insertion sequencing | journal = RNA Biology | volume = 10 | issue = 7 | pages = 1161–9 | date = July 2013 | pmid = 23635712 | pmc = 3849164 | doi = 10.4161/rna.24765 }}
10. ^{{cite journal | vauthors = Bork P | title = Powers and pitfalls in sequence analysis: the 70% hurdle | journal = Genome Research | volume = 10 | issue = 4 | pages = 398–400 | date = April 2000 | pmid = 10779480 | doi = 10.1101/gr.10.4.398 }}
11. ^{{cite journal | vauthors = Kasif S, Steffen M | title = Biochemical networks: the evolution of gene annotation | journal = Nature Chemical Biology | volume = 6 | issue = 1 | pages = 4–5 | date = January 2010 | pmid = 20016491 | pmc = 2907659 | doi = 10.1038/nchembio.288 }}
12. ^{{cite journal | vauthors = Goodman AL, McNulty NP, Zhao Y, Leip D, Mitra RD, Lozupone CA, Knight R, Gordon JI | title = Identifying genetic determinants needed to establish a human gut symbiont in its habitat | journal = Cell Host & Microbe | volume = 6 | issue = 3 | pages = 279–89 | date = September 2009 | pmid = 19748469 | pmc = 2895552 | doi = 10.1016/j.chom.2009.08.003 }}
13. ^{{cite journal | vauthors = Morgan RD, Dwinell EA, Bhatia TK, Lang EM, Luyten YA | title = The MmeI family: type II restriction-modification enzymes that employ single-strand modification for host protection | journal = Nucleic Acids Research | volume = 37 | issue = 15 | pages = 5208–21 | date = August 2009 | pmid = 19578066 | pmc = 2731913 | doi = 10.1093/nar/gkp534 }}
14. ^{{cite journal | vauthors = Griffin JE, Gawronski JD, Dejesus MA, Ioerger TR, Akerley BJ, Sassetti CM | title = High-resolution phenotypic profiling defines genes essential for mycobacterial growth and cholesterol catabolism | journal = PLoS Pathogens | volume = 7 | issue = 9 | pages = e1002251 | date = September 2011 | pmid = 21980284 | pmc = 3182942 | doi = 10.1371/journal.ppat.1002251 | url = http://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1002251 }}
15. ^{{cite journal | vauthors = Mann B, van Opijnen T, Wang J, Obert C, Wang YD, Carter R, McGoldrick DJ, Ridout G, Camilli A, Tuomanen EI, Rosch JW | title = Control of virulence by small RNAs in Streptococcus pneumoniae | journal = PLoS Pathogens | volume = 8 | issue = 7 | pages = e1002788 | date = 2012 | pmid = 22807675 | pmc = 3395615 | doi = 10.1371/journal.ppat.1002788 | url = http://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1002788 }}

2 : Mobile genetic elements|DNA sequencing

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