Team:DTU-Denmark/Bioinformatic

From 2011.igem.org

Bioinformatics

Contents

Motivation

A bioinformatic study was performed to investigate the flexibility when engineering sRNA regulation genetically. The aim was to elucidate sequence and structure conservation for relevant sRNA homologs among 24 bacterial species representative of the diversity within Enterobacteriaceae.

Approach

DTU bioinfo Flowchart.png

Firstly, ChiP homologs including its ribosome binding site (RBS) were identified in the 24 species by BlastP using the E. coli protein as bait. Then, to identify putative ChiXs a local BlastN search was performed with the sequence flanking the RBS as query and the given genome as target (window size of 7). Hits in coding genes were excluded since we restrict ChiX-homologs to be in intergenic regions as is the case in E.coli and Salmonella[4][2]. In addition, hits which did not seem to have a putative -35 and -10 region in a reasonable distance from the putative start-site were also excluded, leaving one hit for each of the 24 sequences. Next, the secondary structure of the 24 putative ChiX homologs were analysed by RNAfold (default parameter setting) from the Vienna RNA package version 2.0.0[3] and sequence lengths were selected for further analysis so they start with one or two nucleotides upstream of the first stemloop and end with four or five Ts downstream of the second stem-loop. In the next step, a structural alignment was made by the LocARNA server, also from the Vienna RNA package version 2.0.0[3] (using default parameter settings), and finally, the RNA secondary structure and sequence conservation were visualized by RNAlogo webserver[1]. Afterwards, the percentage of G/C and A/T (out of 24) was manually calculated. Note that at gap positions these two numbers do not sum to 100.

Results

From the sequence logo it can be seen that the structure, but not the sequence, is conserved in the first stemloop, whereas both the structure and sequence is conserved in the second stemloop. The length between the two stemloops varies a few nucleotides among the species, which is seen from the introduced gaps in the alignment. Another interesting feature is the conserved A/U stretch around position 40 which resemble the characteristic Hfq binding motif[5]. The sequence which base-pair with the ChiP RBS is perfectly conserved, this might be due to evolutionary selection for a strong RBS rather than functionally constraints (AAAGAGG is not a bad RBS, and is somewhat similar to the RBS BioBricks: BBa_B0030, BBa_B0034, BBa_B0035, and BBa_B0064 which has a relative strength of 0.35-1.124). Consequently, we expect that complementary mutations can freely be made to match the RBS in any mRNA of interest.

RNALogo graph generated with RNALogo[1] as well as sequence logo and percentage of A/U (green) and G/C (yellow)nucleotides out of 24 sequences. Notice, that perfectly conserved nucleotides are highlighted with pink in the graph.

To conclude, the study indicates several constrains for engineering a novel sRNA derived from ChiX. First of all must the sRNA contain a Hfq binding motif, a terminal poly-U stretch and two stemloops (the first for which only the structure seems important in contrast to the second for which both the structure and the majority of the nucleotides appear essential). Taking these restrictions into account we believe it is possible to rationally design a sRNA to target any gene of interest.

Alignment

The used structural alignment generated by the LocARNA server from the Vienna RNA package version 2.0.0[3].

Erwinia_billingi   -----CCCCG-CUGGCAACCUGAUUGCUACCGG---AUAACUAAAAUCAUA-AAAAAAUUCCUCUUUGA-CGGGCCGAUAGCAAUAUUGGCCAUUUUU
Pantoea_sp__At_9   AUUGGCCCGCGCCAGCCA-GUAAUGGCUGUGUG---AUAACCAAAAUCAUA-AACAAAUUCCUCUUUGA-CGGGCCGAUAGUAAUAUUGGCCUUCUUU
Serratia_proteam   -C---UAUUGUAACCGUUAACA--GGGUUACAAUGCGUA-UAACUACAAUACAAGAAAUUCCUCUUUGA-CUGGCCAGUAGCGAUAUUGGCCACUUUU
Yersinia_enteroc   -CU-GCUC--AUAUUUUCCGCAAGGAAUGUGAGGGCUUAAUAACUAAAAUAAUGAAAAUUCCUCUUUGA-CUGGCCGAUAGCGAUAUCGGCCAUUUUU
Yersinia_pesti_1   --UGGCGCUCACAUUAUCCGCAAGGAGUGUGAGUGCUUAAUAACAAAAAUAAUGAAAAUUCCUCUUUGA-CUGGCCGGUAGUGAUAUCGGCCAUUUUU
Yersinia_pestis_   --UGGCGCUCACAUUAUCCGCAAGGAGUGUGAGUGCUUAAUAACAAAAAUAAUGAAAAUUCCUCUUUGA-CUGGCCGGUAGUGAUAUCGGCCAUUUUU
Yersinia_pseudot   -CUGGUGCUCACAUUAUCCGCAAGGAGUGUGAGUGCUUAAUAACAAAAAUAAUGAAAAUUCCUCUUUGA-CUGGCCGGUAGUGAUAUCGGCCAUUUUU
Citrobacter_rode   --------ACCGUC--GCUUAA-AGCGGCGGC----AUAACAAU--AAUGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCGAUAUUGGCCAUUUUU
Cronobacter_saka   -----A--ACCGUC--CGCUAAGGCGCACGGC----AUAACGACAAUAACG--AAAAGUUCCUCUUUGA-CGGGCCAGUAGCGAUACUGGCCUUCUUU
Cronobacter_turi   --------ACCGUU--CGCUAACGCGCACGGC----AUAACGAUAAUAACG---AAAGUUCCUCUUUGA-CGGGCCAGUAGCGAUACUGGCCUUCUUU
Edwardsiella_ict   -----ACCGGGCAC--CCCUUGGGGGGCGCCC-GGAAUAAUAAU---AUC---UGAAGUUCCUCUUUGACUG-GCCAAUAGCAAUAUUGGCCUUUUUU
Edwardsiella_tar   -----A--CCGGGU--CCCUAUGGGGGCCCGGCAUAAUAAUAAU---AUC---UGAAGUUCCUCUUUGACUG-GCCAAUAGCGAUAUUGGCCUUUUUU
Enterobacter_aer   -----A--UCCGGG--AUGUAU--AUCCCGGG----AUAAUAAU--AAUGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCAAUAUUGGCCAUUUUU
Enterobacter_clo   -----A--UCCGGA--GUGCGA--ACUCCGGG----AUAAUAAU--AACGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGAAAUAUUGGCCAUUUUU
Enterobacter_sp_   -----A--ACCGAG--GGUCU---CCUUCGGC----AUAAUAAU--AACGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGAAAUAUUGGCCAUUUUU
Escherichia_coli   -----C--ACCGUC--GCUUAA-AGUGACGGC----AUAAUAAUAAAAAAA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCGAUAUUGGCCAUUUUU
Klebsiella_pne_1   -----A--UCCGGG--AUGCAA--AUCCCGGG----AUAAUAAU--AAUGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCAAUAUUGGCCAUUUUU
Klebsiella_pneum   -----A--UCCGGG--AUGCAA--AUCCCGGG----AUAAUAAU--AAUGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCAAUAUUGGCCAUUUUU
Klebsiella_varii   -----A--UCCGGG--AUGCAA--AUCCCGGG----AUAAUAAU--AAUGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCAAUAUUGGCCAUUUUU
Salmonella_bongo   -----A--UCCGAA--GUGAAA--GCUUCGGG----AUAAUAAU--AAUGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCAAUAUUGGCCAUUUUU
Salmonella_enter   -----A--UCCGAA--GCGAAA--GCGUCGGG----AUAAUAAU--AACGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCGAUAUUGGCCAUUUUU
Shigella_flexner   --------ACCGUC--GCUUAA-AGUGACGGC----AUAAUAAUAAAAAAA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCGAUAUUGGCCAUUUUU
Shigella_sonnei_   --------ACCGUC--GCUUAA-AGUGACGGC----AUAAUAAUAAAAAAA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGCGAUAUUGGCCAUUUUU
citrobacter_kose   -----A--ACCAGG--GCGCUA-CGUCCUGGC----AUAAUAAU--AACGA--UGAAAUUCCUCUUUGA-CGGGCCAAUAGAAAUAUUGGCCAUUUUU


Species

Below are the names and accession numbers listed for the 24 species included in the analysis.

Species Accession Number
Citrobacter koseri NC_009792
Citrobacter rodentium NC_013716
Cronobacter sakazakii CP000783
Cronobacter turicensis FN543093
Edwardsiella ictaluri CP001600
Edwardsiella tarda CP002154
Enterobacter aerogenes CP002824
Enterobacter cloacae CP002272
Enterobacter sp. CP000653
Erwinia billingiae FP236843
Escherichia coli AE005174
Klebsiella pneumonia CP002910
Klebsiella pneumonia CP000647
Klebsiella variicola CP001891
Pantoea sp. CP002433
Salmonella bongori FR877557
Salmonella enteric NC_010067
Serratia proteamaculans CP000826
Shigella flexneri AE014073
Shigella sonnei NC_007384
Yersinia enterocolitica FR729477
Yersinia pestis CP000308
Yersinia pestis NC_005810
Yersinia pseudotuberculosis NC_006155


References

[1] Chang, Tzu-Hao, Jorng-Tzong Horng, and Hsien-Da Huang. “RNALogo: a new approach to display structural RNA alignment.” Nucleic Acids Research 36, no. Suppl. S (2008): W91-W96.

[2] Figueroa-Bossi, Nara, Martina Valentini, Laurette Malleret, and Lionello Bossi. “Caught at its own game: regulatory small RNA inactivated by an inducible transcript mimicking its target.” Genes & Development 23, no. 17 (2009): 2004 -2015. http://genesdev.cshlp.org/content/23/17/2004.abstract.

[3] Hofacker, Ivo L. “Vienna RNA secondary structure server.” Nucleic Acids Research 31, no. 13 (July 2003): 3429 -3431. http://nar.oxfordjournals.org/content/31/13/3429.abstract.

[4] Overgaard, Martin, Jesper Johansen, Jakob Møller‐Jensen, and Poul Valentin‐Hansen. “Switching off small RNA regulation with trap‐mRNA.” Molecular Microbiology 73, no. 5 (September 2009): 790-800. http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2958.2009.06807.x/abstract.

[5] Vogel, Jörg, and Ben F Luisi. “Hfq and its constellation of RNA.” Nature reviews. Microbiology 9, no. 8 (2011): 578-589.