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Clustered Repeats and Regulatory Sites

Clustered Repeats and Regulatory Sites. Abdulrahman Alazemi , Shahroze Abbas, Liam Lewis, Donald Ta, Ann Vo. Overview. Clustered repeats Wide variety of functions History largely unknown Regulatory Sites A segment capable of altering expression of specific genes

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Clustered Repeats and Regulatory Sites

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  1. Clustered Repeats and Regulatory Sites AbdulrahmanAlazemi, Shahroze Abbas, Liam Lewis, Donald Ta, Ann Vo

  2. Overview • Clustered repeats • Wide variety of functions • History largely unknown • Regulatory Sites • A segment capable of altering expression of specific genes • Various classifications of regulatory sequences • Found in non-coding regions • Functions at the transcriptional level

  3. Identification • Consensus sequences • Utilize PSSM • How? • Determine consensus

  4. Clustered repeats and potential regulatory sequences AbdulrahmanAlazemi

  5. Background; • Transcription factors? • Activators Vs Repressors.

  6. Thoughts; - My questions; Can I apply a known method/tool with a known results to other phage and get the same/similar result?

  7. The known case; • Examine the proven Repressor and Cro binding sites (operators) of Phage Lambda. • Bioinformatics method in the notes. • First “Name of Lambda in BioBike”. • Go to BioBike/Phantome.

  8. The known case; • Second; Motifs in for the upstream sequence of phage Lambda. • Labeled, DNA, Multiple-Hits-ok.

  9. The known case; • Results of motifs in. • More than one interesting case. • Motifs 1, 2 , 3.

  10. The known case; • BioBike function; • Description-analysis submenu, Genes-proteins menu. • Now, we have an idea about where to look.

  11. The known case; • Used the function sequence-of from Genome menu. • Go to the specific region in the genome

  12. The known case; • Finding the operators. • Directly Vs inversion of.

  13. Phage Lambda map;

  14. Thoughts; - My concern/focus; Would I find some sort of generality between operators of different phages?

  15. My experiment; • Twenty one random phages of different phage families. • Eight of them don't have repressors. (eliminated) • Three of the 13 phages left didn't display a map because of linear amplicon. • Ten phages out of 21 went through all the steps of the method/tool successfully and gave me back out come that I can work with. • Three out of 10 have similar results to phage Lambda.

  16. Outcome analysis; - Similar to phage lambda: -Bacillus-phage-1

  17. Phage Bacillus-phage-1 map;

  18. Outcome analysis; -Similar to phage Lambda: -Listeria-phage-A006

  19. Phage Listeria-phage-A006 map;

  20. Outcome analysis; -Similar to phage lambda: -Lactobacillus-johnsonii-prophage-Lj928

  21. Phage Lactobacillus-johnsonii-prophage-Lj928 map;

  22. First conclusion; - Out of 21 or 10 phages, only 3 phages are similar to phage Lambda. - Less than 50%. - No Generality. - Appropriate conclusion; - Phage Lambda, Bacillus-phage-1, Listeria-phage-A006 , and Lactobacillus-johnsonii-prophage-Lj928 have a similarity/generality between their operators that the repressors bind to.

  23. Inspiration; - Dead end. - The articles !!!! - Extend my research. - look for something interesting.

  24. First interesting case; - In Burkholderia-phage-Bcep1. - Six similar sequence in one intergenic region - another 6 similar sequences in another intergenic region. - Palindromic sequences. - 6 or 3 sequences ? - Bacillus-phage-1 is similar to Burkholderia-phage-Bcep1 somehow.

  25. First interesting case;

  26. Phage Burkholderia-phage-Bcep1 map;

  27. Second interesting case; • - In phage Clostridium-phage-39-O. • - Eight nucleotides sequence (TTACTACA) repeated 10 times in one intergenic sequence. • - Again the same sequence repeated 8 times in another intergenic sequence in another place on the phage.

  28. Second interesting case;

  29. Phage Clostridium-phage-39-O map;

  30. Conclusion; - Goals; - Pick one interesting case. - Research it. - Make sense of it.

  31. A. Comparison of Pseudomonas putidaand Azotobacter REP sequences Donald Ta

  32. REPs • Repetitive Extragenic Palindromic Sequences • Found mainly in abundance in Enterobacteriaecae • Can be anywhere around 20 to 40 nt long • Clustered into structures called BIMEs (bacterial interspersed mosaic element) as two inverted tandem repeats separated by a short linker of variable length

  33. What do REPs do? • Regulate Gene Expression • Structuring DNA • Specific target sites for bacterial insertion sequences • Possibly more that are undiscovered

  34. Previous Study • I. Aranda-Olmedo 2002 used BLAST (Basic local alignment search tool) to find regions of local similarity between sequences downloaded from the National Center for Biotechnology Information (NCBI) • Used database with all contigs of Pseudomonas putidaalready available in The Institute for Genome Research • Developed their own program to screen all of the strains against the 35 nt sequence 5’-CCGGCCTCTTCGCGGGTAAGCCCGCTCCTACAGGG-3’

  35. Results of that Study

  36. Implications from that study They suggest that the 35 bp element they found is species specific in P. putida First time that REP sequences have been described and characterized in a group of non-enterobacteriaceae

  37. What am I doing? • Comparing REP sequence element of Pseudomonas putidaKT2440 with Azotobactervanlandii • Why? • Order Pseudomonadales • Used the REP element that is most common among Pseudomonas species “GCGGGnnnnCCCGC”

  38. Methods • Used built-in functions of BioBike to scan a sequence for possibly loose matches of a pattern • “****GCGGG****CCCGC****” sequence iterated over the sequence of the organism of interest and then whenever there was a match it was displayed on the output • “*” means an unspecified amino acid

  39. Findings • 52 sequence hits in Azotobactervanlandiithat appear to have the same conserved region found in Pseudomonas putida • The species share similar REP elements with the same conserved central palindromic region • “GCGGG****CCCGC”

  40. Output

  41. Significance • REP sequences mainly found abundantly in Enterobacteriacaea • Study by Bao Ton-Hoang 2012 suggested that transposases could’ve been responsible for the proliferation of REP sequences in the genomes of bacteria in Enterobacteriacaea • Possibly suggest a similar origin of REP sequences/elements for Pseudomonas and Enterobacteriacaea?

  42. Problems? • Found 2 hits in E. Coli K-12 that had the REP element • Maybe suggests similar origin? • Could be just a fluke/just by chance that these two organisms share the same REP element in abundance • Past Study found 804 REP sequences with that REP element in Pseudomonas putida • I found 52 in Azotobactervanlandii

  43. Possible plans of the future/near future? • Compare with other bacteria in the order of Pseudomondas to see if I get similar results • Possibly try to find a link to how REP sequences started proliferating in bacteria outside of Enterobacteriacae

  44. Positional Preference of Rho-Independent Transcriptional Terminators in E. Coli Ann Vo

  45. Transcriptional Terminators • Rho-independent • Specific activities poorly understood • Occurs in ssDNA and RNA • Unique characteristics: • T-Tract: 12-15 nt • GC-rich stem: 4-18 nt

  46. Transcriptional Terminators • Available algorithms: • RNAMotif • TransTermHP • ARNold • About 317 natural terminators found in E. Coli • Lai et al. (2013) found a positional preference between other regulatory sequences Do transcriptional terminators have a positional preference relative to the end of the gene?

  47. ARNold • Erpin • Scores input sequences • Compares against 1,200 known terminators from Bacillus subtilitisand Escherichia coli • RNAMotif • Used descriptors to find possible terminators • Scores free energy of hairpin formation

  48. Matching Sequences • BioBIKE/PhAnToMe • Extracted the 50 nucleotides following every gene • Python • Compared sequences to terminators • Calculated distance to terminator downstream sequence terminator CAGGACGGTTTACCGGGGAGCCATAAACGGCTCCCTTTTCATTGTTATCA ACGGTTTACCGGGGAGCCATAAACGGCTCCCTTTTCATTGTTA

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