Supplementary materials

Size: px
Start display at page:

Download "Supplementary materials"

Transcription

1 1 Supplementary materials Mitochondrial diversity. The mtdna sequences used to compare nucleotide diversity between Culicidae species were available on GenBank: Ae. albopictus (cytb: AJ AJ9702, AY072044; COI: AF253022, AY072044, AY , AY AY101854, DQ181451, DQ181457, DQ181458, DQ DQ397912), Ae. aegypti (cytb: AJ AJ970958; ND4: AF AF203366, AF AF334859, AF AF334865), Ae. caspius (COI: FJ FJ210908; COII: DQ DQ300499), Ae. vexans (COI: AY AY645247; COII: AY AY645309, GU229896); C. pipiens (ND4: AY AY793693, EF028084, EF030092, EF033661; COI: AJ557889, AJ557891, AJ557892, AJ AJ633086, AY33086, GQ GQ255651, GQ GQ25564, GQ255666; COII: EU014281, EU014282, L344351); Culex sp. (ND4: AY AY ), C. tarsalis (nad4: EF EF125862), An. aconitus (COI: AY423055, DQ DQ000264; COII: AJ AJ194451, AJ AJ547369, AY AY626978), An. funestus (cytb: AF AF062511), An. gambiae (COI: AF020967, AF020968, AF020970, AF020971, AF020973, AF020980, AF020988, AF020989, AF AF02093, AF020998, AF020999, AF022, AF023, AF AF021023) and An. maculipennis (COI: AF AF342722, AF AF491736). 1

2 19 20 Gene Putative product Locus tag in wpip(pel) Primer (5'-3') Size (bp) Number of alleles found in this study (accession numbers) References gatb Glutamyl-tRNA(Gln) amidotransferase, WPa_0087 gatb_f1-gakttaaaycgygcaggbgtt (Baldo et al. 2006) subunit B gatb_r1-tggyaaytcrggyaaagatga coxa Cytochrome c oxidase, subunit I WPa_0082 coxa_f1-ttggrgcratyaactttatag (Baldo et al. 2006) coxa_r1-ctaaagactttkacrccagt hcpa Conserved hypothetical protein WPa_1214 hcpa_f1-gaaatarcagttgctgcaaa (Baldo et al. 2006) hcpa_r1-gaaagtyragcaagytctg ftsz Cell division protein WPa_0577 ftsz_f1-atyatggarcatataaargatag (Baldo et al. 2006) ftsz_r1-tcragyaatggattrgatat fbpa Fructose-bisphosphate aldolase WPa_1081 fbpa_f1-gctgctccrcttggywtgat (Baldo et al. 2006) fbpa_r1-ccrccagaraaaayyactattc wsp Surface protein WPa_ F-TGGTCCAATAAGTGATGAAGAAAC (Braig et al. 1998) 691R-AAAAATTAAACGCTACTCCA MutL DNA mismatch repair protein WPa_0278 F- ACTTCATTGCCCTTCCAGCT 0-1,063 6 (HQ HQ709394) This study R -GGCATCAAATTAAGGGACA ank2 Ankyrin domain protein WPa_0652 F-CTTCTTCTGTGAGTGTACGT (AM AM397072) (Duron et al. 2007) R2-TCCATATCGATCTACTGCGT pk1 Ankyrin domain protein WPa_0256 (1) F-CCACTACATTGCGCTATAGA 1,334-1,349 5 (AM AM397079) (Sinkins et al. 2005) WPa_0313 (2) R-ACAGTAGAACTACACTCCTCCA (Duron et al. 2007) WPa_1306 (3) pk2 Ankyrin domain protein WPa_0299 (1) F-ATTATGATAAAGCTTGGTAAGAA (AM AM397073; DQ DQ000472) (Sinkins et al. 2005) WPa_0413 (2) R-TTAGCCCTTCATAAATAGCTT (Duron et al. 2007) GP12 Phage related DNA methylase-like protein WPa_0258 (1) F-ATGAATTTAGCAATCCACTACT 1,215-1,302 7 (GU GU827987; HQ HQ709398) (Atyame et al. in press) WPa_0317 (2) R-TTACTAAATAACAGACATATTGCT WPa_1310 (3) WPa_0429 (4) GP15 (=vrlc) Phage related probable secretory protein WPa_1322 F1-ACCATTACAGAACTTGAGGA 1,511-1,538 7 (GU GU827991; HQ HQ709401) (Duron, Fort, and Weill 2006) R1-TAGACGTTCATAGGCAACCA (Atyame et al. in press) F2-ACCTGACTCTGCAGTACTTGA R2-ACTGCTTCTCTCATAAATTCA RepA Phage related replication protein WPa_1312 Tr1e-F1-ACTTTAGAGGGGTGCTTTCT 583-1,501 2 (AJ ; AJ646887) (Duron et al. 2005) Tr1e-R2- ACAAACAACGGCACAGATT Table S1. List of primers and characteristics of genes used to examine the Wolbachia polymorphism. 2

3 Mitochondrial forward primers (5'-3') Mitochondrial reverse primers (5'-3') 1F AATGAATTGCCTGATAAAAAGGA 417R TGAAGAGGCAAAAGCTTGAGT 161F a GCTATTGGGTTCATACCCCAC 773R a GCTATTAATATTCAACCTAAG 286F TGGCTTGGTGCTTGAATAGGGT 1442R AATGGCTGAAGTTTAGGCGAT 1254F ACTAATAGCCTTCAAAGCTGA 2123R TGGATCTCCTCCTCCAATTGGA 2045F AGCTGGTGCTATTACTATGT 3921R AGTTAATCATCTAATAGGGGCT 2768F TCCAGATAGTTACTTAGCATGA 4798R AGCTCCAATAGCTCCTGT 3738F TTCATTAGATGACTGAAAGCA 5968R TTAGGTCGAAACTAATTGCA 4781F ACAGGAGCTATTGGAGCT 7002R CTTTTTTAGCAGGGTTTTATTC 5949F TGCAATTAGTTTCGACCTAA 7723R b GGGTGGGATGGATTAGGATTGG 6290F CATCTTCAGTGTCATGCTCT 8112R b GATTTGTGGTGTCAATGATA 6981F b GAATAAAACCCTGCTAAAAAAG 8871R TGATTACCTAAGGCTCATGT 7702F b CCAATCCTAATCCATCCCACCC 9259R AGCAAGAGAAAGAGTTGTACGA 7940F TGAAACAATTTCCCATTCA 99R AATAAAACTAATATTCCTCCT 8636F TGAGCAACAGAAGAATAAGCA 11217R c ACTAAAGGATTAGCAGGAATGA 8781F GTAATAATCCATATCCTCCT 12178R TACGAGCGGTTGCTCAAACA 9239F CGTACAACTCTTTCTCTTGCT 12409R TACTAAGGAACAAACTTATCCT 9851F AGAAATCTCTTTGTCACTAACT 13182R TGAATGAGATATATACTGTCT 10366F c CTTTATTAGTAACTGTAAAAATTAC 13587R TATTTTAAGGGATTAGCTTTAA 10912F ACAATGGATTTGAGGAGGA 13706R TAATTAGAAATGAAATGTTAATCG 11985F AGGAGTACGATTAGTTTCAGCT 14067R TTAAAGCTTAATTAGTAAAGTA 12387F AGGATAAGTTTGTTCCTTAGTAA 14998R AGCAATGGGAAGGCTTACACT 12856F TCCAACATCGAGGTCGCAATC 13338F GCCGAATTCCTTATTTAAACCTTTC 13566F TTAAAGCTAATCCCTTAAAATA 13802F ACCCTGATACACAAGGTACA 14793F AATTCACACAAAAATTTACATGT Table S2. List of primers used to examine the Culex pipiens mitochondrial polymorphism. The name of the primers indicates their position in the mitochondrial genome. a,b,c, primers used to amplified fragments of the ND2, ND5 and cytb genes, respectively. GenBank accession numbers: 3

4 25 26 ND2 (HQ HQ709413), ND5 (HQ HQ724613), cytb (HQ HQ709409), complete mitochondrial genomes (HQ HQ724617). 4

5 Gene No. of alleles a Fragment size % of VI b π b G+C content (%) b Ka/Ks b Intragenic recombination (Sawyer's test) a MutL , Yes (P<10-4 ) ank No (P=0.33) pk1 5 1,292-1, Yes (P<10-4 ) pk Yes (P<10-4 ) GP12 7 1,193-1, Yes (P<10-4 ) GP15 8 c 1,470-1, Yes (P<10-4 ) RepA , not reliable Table S3. Genetic characteristics of the seven polymorphic genes used for wpip characterization. VI; number of variable sites; π : pairwise nucleotide diversity based on the average of all pairwise comparisons; a Characteristics estimated considering indels in sequence alignments; b characteristics assessed excluding indels; c including the null GP15 wpip(jhb) allele. Note that primer regions were not considered in these analyses. 5

6 Genes MutL ank2 pk1 pk2 GP12 GP15 RepA MutL 0.000*** 0.000*** *** 0.000*** ank *** *** 0.000*** pk *** 0.000*** pk GP *** GP RepA Table S4. Linkage disequilibrium (LD) measures and tests of association between the wpip genes. The upper half shows probabilities based on the null hypothesis of random association of allelic diversity between loci. The lower half shows LD measures (D values). ***, the null hypothesis is rejected at α = taking into account a Bonferonni s adjustment for 21 comparisons. 6

7 Gene Position, Direction of transcription trna anticodon/position Start codon End codon t-rna Ile 2-69, CW GAU/31-33 t-rna Gln , CCW UUG/ t-rna Met , CW CAU/ ND , CW _ ATC (Ile) TAA trna Trp , CW UCA/ trna Cys , CCW GCA/ trna Tyr , CCW GUA/ COI , CW _ TCG (Ser) T trna Leu , CW UAA/ COII , CW _ ATG (Met) T trna Lys , CW CUU/ trna Asp , CW GUC/ ATPase , CW _ ATT (Ile) TAA ATPase , CW _ ATG (Met) TAA COIII , CW _ ATG (Met) TAA trna Gly , CW UCC/ ND , CW _ ATT (Ile) TAA trna Arg , CW UCG/ trna Ala , CW UGC/ trna Asn , CW GUU/ trna Ser , CW GCA/ trna Glu , CW UUC/ trna Phe , CCW GAA/ ND , CCW _ GTG (Val) TAA trna His , CCW GUG/ ND , CCW _ ATG (Met) TAA ND4L , CCW _ ATG (Met) TAA trna Thr , CW UGU/ trna Pro , CCW UGG/ ND , CW _ ATA (Met) TAA CytB , CW _ ATG (Met) TAA trna Ser , CW UGA/ ND , CCW _ TTG (Phe) TAA trna Leu , CCW UAG/ Large rrna , CCW _ trna Val , CCW UAC/ Small rrna , CCW _ A + T rich region _ Table S5. Summary of the Culex pipiens mitochondrial genome. Position: expressed in nucleotides based on the Pel sequence. Direction of transcription: CW, clockwise; CCW, counterclockwise. 7

8 Gene, position Mitotype ND2 ND5 cytb Mosquito line ,061 7,106 7,280 7,341 7,345 7,571 7,824 7,826 7,927 10,502 10,554 10,758 10,887 10,918 10,943 10,952 11,118 pi1 A T C T T T A T G C G A C A A A G G G C A A Pel pi2 G G G Cot-A, Cot-B, Ma-B pi3 G T - G G Ep-A, Ep-B pi4 G - - C - A G G - A Ko, Tn pi5 G - - C G G - A Bf-A pi6 G A - G G T - - G G Au pi7 G A G T - - G G Lv pi8 G C - - A - - C G T G - G G Ke-A pi9 G C - - A G T - - G G Ke-B pi10 G A G T - G G G Bf-B, Mc pi11 G A G T - G G G G Sl pi12 G - G - A A - A G T - - G - - A Is pi13 G A G T - - G A - - T - - Ka-C pi14 G A G T - - G T - - Ma-A Table S6: Nucleotide polymorphism in the ND2, ND5 and cytb mitochondrial genes of Culex pipiens. Mosquito lines are listed according to mitotype (pi1 to pi14). Only polymorphic site are indicated, and a dash indicates similarity with the top sequence. Position: expressed in nucleotides based on the complete mitochondrial sequence of the Pel C. pipiens line. 8

9 48 Supplementary figures Figure S1. Wolbachia phylogeny constructed using Bayesian inferences on concatenated sequences of the five MLST genes gatb, coxa, hcpa, ftsz and hcpa. Wolbachia of major supergroups (A, B, D, F and H) were included in the analysis to delineate the wpip group (highlighted). Host species of Wolbachia are reported, followed by the name of the Wolbachia strain. The scale bar is in units of substitutions/site Figure S2. Examples of recombination breakpoints along the pk1 (A, B), pk2 (C, D, E) and GP12 (F) sequences. For each alignment, only polymorphic sites around the breakpoints are shown. Polymorphisms shared with the underlined sequence are highlighted in grey. Arrows indicated the significant breakpoints and the nucleotide position detected by Sawyer s procedure Figure S3. Mapping of the 13 genes examined in this study on the wpip(pel) genome and on the five major contigs of the wpip(jhb) genome. Black boxes designate prophage genes, or genes inserted in phage regions. Lines connect orthologous genes. The wpip(jhb) genome description corresponds to the current situation and could change when the assembling is achieved Figure S4. Wolbachia phylogenies constructed with six wpip polymorphic genes. A: MutL; B: ank2; C: pk1; D: pk2; E: GP12; F: GP15. The phylogeny of the RepA gene was not performed because the polymorphism with this gene is only based on the presence or the absence of the transposon Tr1. The scale bar is in units of substitutions/site. 9

10 Figure S5. Map of the Culex pipiens mitochondrial genome. The map has been linearized and nucleotide 1 is arbitrary allocated to trna Ile transcription start. All genes are indicated as boxes above (transcription from left to right) or below (transcription from right to left) the baseline. trnas are represented by the single-letter code for the cognate amino acid. Sites found polymorphic between the five C. pipiens mtdna genomes (without the A+T rich region) are indicated by stars. 10

11 Figure S1 11

12 82 A wpip(pel) T T T A G A A G C G C G T G C A T A G G A C T G A T A A A T T G T G G A T G T C G A C G T T C T T C G A C T G G G T G C C wpip(jhb) wpip(is) C A C T A G C T C T A G A T G A T C G T A G T C A A A C A T T wpip(lv) A A A G A T C A A A A T C A T G C G A A T T C A G C G G G G C A C T A G C T C T A G A T G A T C G T A G T C A A A C A T T B wpip(pel) C T G G T A G T T C G C T A C G T A A G T T A A T G G A G C G T A C C G T T T A T T C C A C C C A A A A A C A wpip(jhb) wpip(ka-c) G A C A G G C A T C A A A C G A G A A G C G A C G T C A A T T G G G G A G wpip(sl) C T T C G T G A T A T C G T A C G. A C A G G C A T C A A A C G A G. A G C G A C G T C A A T T G G G. A G 2 wpip(pel) A T C C G T A A T A C G G G A T G A C G G A A C G A A A T G G T G A G C A C G C T A A G T A wpip(jhb) wpip(ep-a) A C A G A T G T T A G G T A G G G C A A A C G A G G T A A C G G A C G wpip(bf-b)g G T T A A G C C G T A C A G A T G T T A G G T A G G G C A A A C. A G G T A A C G G A C G D E F 159 wpip(pel) A T C C G T A A T A C G G G A T G A C G G A A C G A A A T G G T G G C A C G C T A A G T A wpip(jhb) wpip(sl) C A G G T A A C G G A C G wpip(bf-b) G G T T A A G C C G T A C A G A T G T T A G G T A G G G C A A A C A G G T A A C G G A C G wpip(pel) G G G A T G A C G G A A C G A A A T G G T G A G C A C G C T A A G T A wpip(jhb) wpip(sl) C. A G G T A A C G G A C G wpip(ep-a) A C A G A T G T T A G G T A G G G C A A A C G A G G T A A C G G A C G wpip(pel) G C A G C C C C A G G A G C C G G A A A A A T G C G A T T A G C A C A C C G G A C G G A A C T T T G C G wpip(jhb) wpip(ka-c) A T G T T T A T G A A G A T T A A T T C G T A A T A C C C T A T G T T A T wpip(ma-a) A T G T T T A T G A A G A T T A A T T C G T A A T A C C C T A T G T T A T A A C A A T C C T A G C A G A Figure S2 12

13 w Pip(JHB) contig 1299 (478,325bp) w Pip(JHB) contig 1298 (316,943bp) w Pip(JHB) contig 1302 (42,565bp) w Pip(JHB) contig 1301 (126,623bp) w Pip(JHB) contig 1300 (466,173bp) w Pip(Pel) genome (1,482,355bp) gatb coxa coxa gatb // GP12 wsp fbpa GP12 RepA ftsz ank2 pk2? pk2 pk1 GP12 MutL ank2 hcpa pk1 GP12 MutL pk2 pk1 GP12 pk2 GP12 // ftsz ank2 wsp fbpa hcpa pk1 GP12 RepA GP15 // // // Figure S3 13 / // /

14 14 90 wpip(pel) wpip(jhb) wpip(cot-a) wpip(cot-b) wpip(ma-b) wpip(bf-a) wpip(ko) wpip(tn) wpip(lv) wpip(ke-a) wpip(ke-b) wpip(au) wpip(is) wpip(ka-c) wpip(ma-a) wpip(ep-a) wpip(ep-b) wpip(bf-b) wpip(mc) wpip(sl) 0.1 wpip(pel) wpip(jhb) wpip(ep-a) wpip(ep-b) wpip(cot-a) wpip(cot-b) wpip(ma-b) wpip(bf-a) wpip(ko) wpip(tn) wpip(lv) wpip(mc) wpip(ke-a) wpip(ke-b) wpip(is) wpip(sl) wpip(bf-b) wpip(ka-c) wpip(ma-a) wpip(au) wpip(pel) wpip(jhb) wpip(ep-a) wpip(ep-b) wpip(cot-a) wpip(cot-b) wpip(ma-b) wpip(bf-a) wpip(ko) wpip(tn) wpip(lv) wpip(ke-b) wpip(au) wpip(bf-b) wpip(mc) wpip(sl) wpip(ke-a) wpip-(is) wpip(ma-a) wpip(ka-c) wpip(pel) wpip(jhb) wpip(ep-a) wpip(ep-b) wpip(cot-a) wpip(cot-b) wpip(ma-b) wpip(bf-a) wpip(ko) wpip(tn) wpip(ka-c) wpip(ma-a) wpip(lv) wpip(ke-a) wpip(ke-b) wpip(au) wpip(bf-b) wpip(mc) wpip(sl) wpip(is) wpip(pel) wpip(ep-a) wpip(ep-b) wpip(cot-a) wpip(cot-b) wpip(ma-b) wpip(bf-a) wpip(ko) wpip(tn) wpip(is) wpip(ke-a) wpip(ke-b) wpip(lv) wpip(au) wpip(bf-b) wpip(mc) wpip(sl) wpip(ka-c) wpip(ma-a) A B C D E F WP0652-Pel WP0652-Ep-A WP0652-Ep-B WP0652-Cot-A WP0652-Cot-B WP0652-Ma-B WP0652-Bf-A WP0652-Ko WP0652-Tn WP0652-Lv WP0652-Ke-A WP0652-Ke-B WP0652-Au WP0652-Bf-B WP0652-Mc WP0652-Sl WP0652-Is WP0652-Ka-C WP0652-Ma-A 0.05 wpip(pel) wpip(jhb) wpip(cot-a) wpip(cot-b) wpip(ma-b) wpip(bf-a) wpip(ko) wpip(tn) wpip(ep-a) wpip(ep-b) wpip(lv) wpip(ke-a) wpip(ke-b) wpip(au) wpip(mc) wpip(is) wpip(sl) wpip(bf-b) wpip(ka-c) wpip(ma-a) Figure S4 92

15 I M Q ND4L ND2 T P W CY ND6 cytb ATPase8 L K D G R A N S E COI COII ATPase6 COIII ND3 F S ND1 Large rrna Small rrna L V Figure S5 ND5 A+T rich region H ND4 15

16 Literature Cited Atyame, C., O. Duron, P. Tortosa, N. Pasteur, P. Fort, and M. Weill Multiple Wolbachia determinants control the evolution of cytoplasmic incompatibilities in Culex pipiens mosquito populations. Mol Ecol (in press). Baldo, L., J. C. Dunning Hotopp, K. A. Jolley, S. R. Bordenstein, S. A. Biber, R. R. Choudhury, C. Hayashi, M. C. Maiden, H. Tettelin, and J. H. Werren Multilocus sequence typing system for the endosymbiont Wolbachia pipientis. Appl Environ Microbiol 72 : Braig, H. R., W. Zhou, S. L. Dobson, and S. L. O'Neill Cloning and characterization of a gene encoding the major surface protein of the bacterial endosymbiont Wolbachia pipientis. J Bacteriol 180 : Duron, O., A. Boureux, P. Echaubard, A. Berthomieu, C. Berticat, P. Fort, and M. Weill Variability and expression of ankyrin domain genes in Wolbachia variants infecting the mosquito Culex pipiens. J Bacteriol 189 : Duron, O., P. Fort, and M. Weill Hypervariable prophage WO sequences describe an unexpected high number of Wolbachia variants in the mosquito Culex pipiens. Proc Biol Sci 273 : Duron, O., J. Lagnel, M. Raymond, K. Bourtzis, P. Fort, and M. Weill Transposable element polymorphism of Wolbachia in the mosquito Culex pipiens: evidence of genetic diversity, superinfection and recombination. Mol Ecol 14 : Sinkins, S. P., T. Walker, A. R. Lynd, A. R. Steven, B. L. Makepeace, H. C. Godfray, and J. Parkhill Wolbachia variability and host effects on crossing type in Culex mosquitoes. Nature 436 :

Aoife McLysaght Dept. of Genetics Trinity College Dublin

Aoife McLysaght Dept. of Genetics Trinity College Dublin Aoife McLysaght Dept. of Genetics Trinity College Dublin Evolution of genome arrangement Evolution of genome content. Evolution of genome arrangement Gene order changes Inversions, translocations Evolution

More information

Objective: You will be able to justify the claim that organisms share many conserved core processes and features.

Objective: You will be able to justify the claim that organisms share many conserved core processes and features. Objective: You will be able to justify the claim that organisms share many conserved core processes and features. Do Now: Read Enduring Understanding B Essential knowledge: Organisms share many conserved

More information

SEQUENCE ALIGNMENT BACKGROUND: BIOINFORMATICS. Prokaryotes and Eukaryotes. DNA and RNA

SEQUENCE ALIGNMENT BACKGROUND: BIOINFORMATICS. Prokaryotes and Eukaryotes. DNA and RNA SEQUENCE ALIGNMENT BACKGROUND: BIOINFORMATICS 1 Prokaryotes and Eukaryotes 2 DNA and RNA 3 4 Double helix structure Codons Codons are triplets of bases from the RNA sequence. Each triplet defines an amino-acid.

More information

Biology 155 Practice FINAL EXAM

Biology 155 Practice FINAL EXAM Biology 155 Practice FINAL EXAM 1. Which of the following is NOT necessary for adaptive evolution? a. differential fitness among phenotypes b. small population size c. phenotypic variation d. heritability

More information

C CH 3 N C COOH. Write the structural formulas of all of the dipeptides that they could form with each other.

C CH 3 N C COOH. Write the structural formulas of all of the dipeptides that they could form with each other. hapter 25 Biochemistry oncept heck 25.1 Two common amino acids are 3 2 N alanine 3 2 N threonine Write the structural formulas of all of the dipeptides that they could form with each other. The carboxyl

More information

A p-adic Model of DNA Sequence and Genetic Code 1

A p-adic Model of DNA Sequence and Genetic Code 1 ISSN 2070-0466, p-adic Numbers, Ultrametric Analysis and Applications, 2009, Vol. 1, No. 1, pp. 34 41. c Pleiades Publishing, Ltd., 2009. RESEARCH ARTICLES A p-adic Model of DNA Sequence and Genetic Code

More information

Using an Artificial Regulatory Network to Investigate Neural Computation

Using an Artificial Regulatory Network to Investigate Neural Computation Using an Artificial Regulatory Network to Investigate Neural Computation W. Garrett Mitchener College of Charleston January 6, 25 W. Garrett Mitchener (C of C) UM January 6, 25 / 4 Evolution and Computing

More information

Edinburgh Research Explorer

Edinburgh Research Explorer Edinburgh Research Explorer Codon usage patterns in Escherichia coli, Bacillus subtilis, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Drosophila melanogaster and Homo sapiens; a review of the considerable

More information

Genetic code on the dyadic plane

Genetic code on the dyadic plane Genetic code on the dyadic plane arxiv:q-bio/0701007v3 [q-bio.qm] 2 Nov 2007 A.Yu.Khrennikov, S.V.Kozyrev June 18, 2018 Abstract We introduce the simple parametrization for the space of codons (triples

More information

TRANSLATION: How to make proteins?

TRANSLATION: How to make proteins? TRANSLATION: How to make proteins? EUKARYOTIC mrna CBP80 NUCLEUS SPLICEOSOME 5 UTR INTRON 3 UTR m 7 GpppG AUG UAA 5 ss 3 ss CBP20 PABP2 AAAAAAAAAAAAA 50-200 nts CYTOPLASM eif3 EJC PABP1 5 UTR 3 UTR m 7

More information

Advanced Topics in RNA and DNA. DNA Microarrays Aptamers

Advanced Topics in RNA and DNA. DNA Microarrays Aptamers Quiz 1 Advanced Topics in RNA and DNA DNA Microarrays Aptamers 2 Quantifying mrna levels to asses protein expression 3 The DNA Microarray Experiment 4 Application of DNA Microarrays 5 Some applications

More information

Mathematics of Bioinformatics ---Theory, Practice, and Applications (Part II)

Mathematics of Bioinformatics ---Theory, Practice, and Applications (Part II) Mathematics of Bioinformatics ---Theory, Practice, and Applications (Part II) Matthew He, Ph.D. Professor/Director Division of Math, Science, and Technology Nova Southeastern University, Florida, USA December

More information

In previous lecture. Shannon s information measure x. Intuitive notion: H = number of required yes/no questions.

In previous lecture. Shannon s information measure x. Intuitive notion: H = number of required yes/no questions. In previous lecture Shannon s information measure H ( X ) p log p log p x x 2 x 2 x Intuitive notion: H = number of required yes/no questions. The basic information unit is bit = 1 yes/no question or coin

More information

Lecture IV A. Shannon s theory of noisy channels and molecular codes

Lecture IV A. Shannon s theory of noisy channels and molecular codes Lecture IV A Shannon s theory of noisy channels and molecular codes Noisy molecular codes: Rate-Distortion theory S Mapping M Channel/Code = mapping between two molecular spaces. Two functionals determine

More information

From Gene to Protein

From Gene to Protein From Gene to Protein Gene Expression Process by which DNA directs the synthesis of a protein 2 stages transcription translation All organisms One gene one protein 1. Transcription of DNA Gene Composed

More information

UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certifi cate of Education Advanced Subsidiary Level and Advanced Level

UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certifi cate of Education Advanced Subsidiary Level and Advanced Level *1166350738* UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certifi cate of Education Advanced Subsidiary Level and Advanced Level CEMISTRY 9701/43 Paper 4 Structured Questions October/November

More information

Proteins: Characteristics and Properties of Amino Acids

Proteins: Characteristics and Properties of Amino Acids SBI4U:Biochemistry Macromolecules Eachaminoacidhasatleastoneamineandoneacidfunctionalgroupasthe nameimplies.thedifferentpropertiesresultfromvariationsinthestructuresof differentrgroups.thergroupisoftenreferredtoastheaminoacidsidechain.

More information

CHEMISTRY 9701/42 Paper 4 Structured Questions May/June hours Candidates answer on the Question Paper. Additional Materials: Data Booklet

CHEMISTRY 9701/42 Paper 4 Structured Questions May/June hours Candidates answer on the Question Paper. Additional Materials: Data Booklet Cambridge International Examinations Cambridge International Advanced Level CHEMISTRY 9701/42 Paper 4 Structured Questions May/June 2014 2 hours Candidates answer on the Question Paper. Additional Materials:

More information

The degeneracy of the genetic code and Hadamard matrices. Sergey V. Petoukhov

The degeneracy of the genetic code and Hadamard matrices. Sergey V. Petoukhov The degeneracy of the genetic code and Hadamard matrices Sergey V. Petoukhov Department of Biomechanics, Mechanical Engineering Research Institute of the Russian Academy of Sciences petoukhov@hotmail.com,

More information

A Minimum Principle in Codon-Anticodon Interaction

A Minimum Principle in Codon-Anticodon Interaction A Minimum Principle in Codon-Anticodon Interaction A. Sciarrino a,b,, P. Sorba c arxiv:0.480v [q-bio.qm] 9 Oct 0 Abstract a Dipartimento di Scienze Fisiche, Università di Napoli Federico II Complesso Universitario

More information

Genetic Code, Attributive Mappings and Stochastic Matrices

Genetic Code, Attributive Mappings and Stochastic Matrices Genetic Code, Attributive Mappings and Stochastic Matrices Matthew He Division of Math, Science and Technology Nova Southeastern University Ft. Lauderdale, FL 33314, USA Email: hem@nova.edu Abstract: In

More information

Evolutionary Analysis of Viral Genomes

Evolutionary Analysis of Viral Genomes University of Oxford, Department of Zoology Evolutionary Biology Group Department of Zoology University of Oxford South Parks Road Oxford OX1 3PS, U.K. Fax: +44 1865 271249 Evolutionary Analysis of Viral

More information

Introduction to the Ribosome Overview of protein synthesis on the ribosome Prof. Anders Liljas

Introduction to the Ribosome Overview of protein synthesis on the ribosome Prof. Anders Liljas Introduction to the Ribosome Molecular Biophysics Lund University 1 A B C D E F G H I J Genome Protein aa1 aa2 aa3 aa4 aa5 aa6 aa7 aa10 aa9 aa8 aa11 aa12 aa13 a a 14 How is a polypeptide synthesized? 2

More information

Supplementary Figure 3 a. Structural comparison between the two determined structures for the IL 23:MA12 complex. The overall RMSD between the two

Supplementary Figure 3 a. Structural comparison between the two determined structures for the IL 23:MA12 complex. The overall RMSD between the two Supplementary Figure 1. Biopanningg and clone enrichment of Alphabody binders against human IL 23. Positive clones in i phage ELISA with optical density (OD) 3 times higher than background are shown for

More information

TRANSLATION: How to make proteins?

TRANSLATION: How to make proteins? TRANSLATION: How to make proteins? EUKARYOTIC mrna CBP80 NUCLEUS SPLICEOSOME 5 UTR INTRON 3 UTR m 7 GpppG AUG UAA 5 ss 3 ss CBP20 PABP2 AAAAAAAAAAAAA 50-200 nts CYTOPLASM eif3 EJC PABP1 5 UTR 3 UTR m 7

More information

Energy and Cellular Metabolism

Energy and Cellular Metabolism 1 Chapter 4 About This Chapter Energy and Cellular Metabolism 2 Energy in biological systems Chemical reactions Enzymes Metabolism Figure 4.1 Energy transfer in the environment Table 4.1 Properties of

More information

Lecture 15: Realities of Genome Assembly Protein Sequencing

Lecture 15: Realities of Genome Assembly Protein Sequencing Lecture 15: Realities of Genome Assembly Protein Sequencing Study Chapter 8.10-8.15 1 Euler s Theorems A graph is balanced if for every vertex the number of incoming edges equals to the number of outgoing

More information

Secondary Structure. Bioch/BIMS 503 Lecture 2. Structure and Function of Proteins. Further Reading. Φ, Ψ angles alone determine protein structure

Secondary Structure. Bioch/BIMS 503 Lecture 2. Structure and Function of Proteins. Further Reading. Φ, Ψ angles alone determine protein structure Bioch/BIMS 503 Lecture 2 Structure and Function of Proteins August 28, 2008 Robert Nakamoto rkn3c@virginia.edu 2-0279 Secondary Structure Φ Ψ angles determine protein structure Φ Ψ angles are restricted

More information

Lect. 19. Natural Selection I. 4 April 2017 EEB 2245, C. Simon

Lect. 19. Natural Selection I. 4 April 2017 EEB 2245, C. Simon Lect. 19. Natural Selection I 4 April 2017 EEB 2245, C. Simon Last Time Gene flow reduces among population variability, reduces structure Interaction of climate, ecology, bottlenecks, drift, and gene flow

More information

GENETICS - CLUTCH CH.11 TRANSLATION.

GENETICS - CLUTCH CH.11 TRANSLATION. !! www.clutchprep.com CONCEPT: GENETIC CODE Nucleotides and amino acids are translated in a 1 to 1 method The triplet code states that three nucleotides codes for one amino acid - A codon is a term for

More information

Sequence Divergence & The Molecular Clock. Sequence Divergence

Sequence Divergence & The Molecular Clock. Sequence Divergence Sequence Divergence & The Molecular Clock Sequence Divergence v simple genetic distance, d = the proportion of sites that differ between two aligned, homologous sequences v given a constant mutation/substitution

More information

Translation. A ribosome, mrna, and trna.

Translation. A ribosome, mrna, and trna. Translation The basic processes of translation are conserved among prokaryotes and eukaryotes. Prokaryotic Translation A ribosome, mrna, and trna. In the initiation of translation in prokaryotes, the Shine-Dalgarno

More information

The translation machinery of the cell works with triples of types of RNA bases. Any triple of RNA bases is known as a codon. The set of codons is

The translation machinery of the cell works with triples of types of RNA bases. Any triple of RNA bases is known as a codon. The set of codons is Relations Supplement to Chapter 2 of Steinhart, E. (2009) More Precisely: The Math You Need to Do Philosophy. Broadview Press. Copyright (C) 2009 Eric Steinhart. Non-commercial educational use encouraged!

More information

Supplementary Information. Broad Spectrum Anti-Influenza Agents by Inhibiting Self- Association of Matrix Protein 1

Supplementary Information. Broad Spectrum Anti-Influenza Agents by Inhibiting Self- Association of Matrix Protein 1 Supplementary Information Broad Spectrum Anti-Influenza Agents by Inhibiting Self- Association of Matrix Protein 1 Philip D. Mosier 1, Meng-Jung Chiang 2, Zhengshi Lin 2, Yamei Gao 2, Bashayer Althufairi

More information

Protein Synthesis. Unit 6 Goal: Students will be able to describe the processes of transcription and translation.

Protein Synthesis. Unit 6 Goal: Students will be able to describe the processes of transcription and translation. Protein Synthesis Unit 6 Goal: Students will be able to describe the processes of transcription and translation. Types of RNA Messenger RNA (mrna) makes a copy of DNA, carries instructions for making proteins,

More information

Lecture 27. Phylogeny methods, part 4 (Models of DNA and protein change) p.1/26

Lecture 27. Phylogeny methods, part 4 (Models of DNA and protein change) p.1/26 Lecture 27. Phylogeny methods, part 4 (Models of DNA and protein change) Joe Felsenstein Department of Genome Sciences and Department of Biology Lecture 27. Phylogeny methods, part 4 (Models of DNA and

More information

Chemistry Chapter 26

Chemistry Chapter 26 Chemistry 2100 Chapter 26 The Central Dogma! The central dogma of molecular biology: Information contained in DNA molecules is expressed in the structure of proteins. Gene expression is the turning on

More information

Clustering and Model Integration under the Wasserstein Metric. Jia Li Department of Statistics Penn State University

Clustering and Model Integration under the Wasserstein Metric. Jia Li Department of Statistics Penn State University Clustering and Model Integration under the Wasserstein Metric Jia Li Department of Statistics Penn State University Clustering Data represented by vectors or pairwise distances. Methods Top- down approaches

More information

PROTEIN SYNTHESIS INTRO

PROTEIN SYNTHESIS INTRO MR. POMERANTZ Page 1 of 6 Protein synthesis Intro. Use the text book to help properly answer the following questions 1. RNA differs from DNA in that RNA a. is single-stranded. c. contains the nitrogen

More information

(Lys), resulting in translation of a polypeptide without the Lys amino acid. resulting in translation of a polypeptide without the Lys amino acid.

(Lys), resulting in translation of a polypeptide without the Lys amino acid. resulting in translation of a polypeptide without the Lys amino acid. 1. A change that makes a polypeptide defective has been discovered in its amino acid sequence. The normal and defective amino acid sequences are shown below. Researchers are attempting to reproduce the

More information

Properties of amino acids in proteins

Properties of amino acids in proteins Properties of amino acids in proteins one of the primary roles of DNA (but not the only one!) is to code for proteins A typical bacterium builds thousands types of proteins, all from ~20 amino acids repeated

More information

Protein Synthesis. Unit 6 Goal: Students will be able to describe the processes of transcription and translation.

Protein Synthesis. Unit 6 Goal: Students will be able to describe the processes of transcription and translation. Protein Synthesis Unit 6 Goal: Students will be able to describe the processes of transcription and translation. Protein Synthesis: Protein synthesis uses the information in genes to make proteins. 2 Steps

More information

FW 1 CDR 1 FW 2 CDR 2

FW 1 CDR 1 FW 2 CDR 2 Supplementary Figure 1 Supplementary Figure 1: Interface of the E9:Fas structure. The two interfaces formed by V H and V L of E9 with Fas are shown in stereo. The Fas receptor is represented as a surface

More information

Midterm Review Guide. Unit 1 : Biochemistry: 1. Give the ph values for an acid and a base. 2. What do buffers do? 3. Define monomer and polymer.

Midterm Review Guide. Unit 1 : Biochemistry: 1. Give the ph values for an acid and a base. 2. What do buffers do? 3. Define monomer and polymer. Midterm Review Guide Name: Unit 1 : Biochemistry: 1. Give the ph values for an acid and a base. 2. What do buffers do? 3. Define monomer and polymer. 4. Fill in the Organic Compounds chart : Elements Monomer

More information

Structure and evolution of the spliceosomal peptidyl-prolyl cistrans isomerase Cwc27

Structure and evolution of the spliceosomal peptidyl-prolyl cistrans isomerase Cwc27 Acta Cryst. (2014). D70, doi:10.1107/s1399004714021695 Supporting information Volume 70 (2014) Supporting information for article: Structure and evolution of the spliceosomal peptidyl-prolyl cistrans isomerase

More information

Molecular Evolution and Phylogenetic Analysis

Molecular Evolution and Phylogenetic Analysis Molecular Evolution and Phylogenetic Analysis David Pollock and Richard Goldstein Introduction All of biology is based on evolution. Evolution is the organizing principle for understanding the shared history

More information

Crystal Basis Model of the Genetic Code: Structure and Consequences

Crystal Basis Model of the Genetic Code: Structure and Consequences Proceeings of Institute of Mathematics of NAS of Ukraine 2000, Vol. 30, Part 2, 481 488. Crystal Basis Moel of the Genetic Coe: Structure an Consequences L. FRAPPAT, A. SCIARRINO an P. SORBA Laboratoire

More information

NMR study of complexes between low molecular mass inhibitors and the West Nile virus NS2B-NS3 protease

NMR study of complexes between low molecular mass inhibitors and the West Nile virus NS2B-NS3 protease University of Wollongong Research Online Faculty of Science - Papers (Archive) Faculty of Science, Medicine and Health 2009 NMR study of complexes between low molecular mass inhibitors and the West Nile

More information

A Mathematical Model of the Genetic Code, the Origin of Protein Coding, and the Ribosome as a Dynamical Molecular Machine

A Mathematical Model of the Genetic Code, the Origin of Protein Coding, and the Ribosome as a Dynamical Molecular Machine A Mathematical Model of the Genetic Code, the Origin of Protein Coding, and the Ribosome as a Dynamical Molecular Machine Diego L. Gonzalez CNR- IMM Is)tuto per la Microele4ronica e i Microsistemi Dipar)mento

More information

Three-Dimensional Algebraic Models of the trna Code and 12 Graphs for Representing the Amino Acids

Three-Dimensional Algebraic Models of the trna Code and 12 Graphs for Representing the Amino Acids Life 2014, 4, 341-373; doi:10.3390/life4030341 Article OPEN ACCESS life ISSN 2075-1729 www.mdpi.com/journal/life Three-Dimensional Algebraic Models of the trna Code and 12 Graphs for Representing the Amino

More information

Amino Acid Side Chain Induced Selectivity in the Hydrolysis of Peptides Catalyzed by a Zr(IV)-Substituted Wells-Dawson Type Polyoxometalate

Amino Acid Side Chain Induced Selectivity in the Hydrolysis of Peptides Catalyzed by a Zr(IV)-Substituted Wells-Dawson Type Polyoxometalate Amino Acid Side Chain Induced Selectivity in the Hydrolysis of Peptides Catalyzed by a Zr(IV)-Substituted Wells-Dawson Type Polyoxometalate Stef Vanhaecht, Gregory Absillis, Tatjana N. Parac-Vogt* Department

More information

Snork Synthesis Lab Lab Directions

Snork Synthesis Lab Lab Directions Snork Synthesis Lab Lab Directions This activity, modified from the original at The Biology Corner, will help you practice your understanding of protein synthesis. Submit your lab answers according to

More information

Packing of Secondary Structures

Packing of Secondary Structures 7.88 Lecture Notes - 4 7.24/7.88J/5.48J The Protein Folding and Human Disease Professor Gossard Retrieving, Viewing Protein Structures from the Protein Data Base Helix helix packing Packing of Secondary

More information

Lecture 22: Signatures of Selection and Introduction to Linkage Disequilibrium. November 12, 2012

Lecture 22: Signatures of Selection and Introduction to Linkage Disequilibrium. November 12, 2012 Lecture 22: Signatures of Selection and Introduction to Linkage Disequilibrium November 12, 2012 Last Time Sequence data and quantification of variation Infinite sites model Nucleotide diversity (π) Sequence-based

More information

Lesson Overview. Ribosomes and Protein Synthesis 13.2

Lesson Overview. Ribosomes and Protein Synthesis 13.2 13.2 The Genetic Code The first step in decoding genetic messages is to transcribe a nucleotide base sequence from DNA to mrna. This transcribed information contains a code for making proteins. The Genetic

More information

ATTRIBUTIVE CONCEPTION OF GENETIC CODE, ITS BI-PERIODIC TABLES AND PROBLEM OF UNIFICATION BASES OF BIOLOGICAL LANGUAGES *

ATTRIBUTIVE CONCEPTION OF GENETIC CODE, ITS BI-PERIODIC TABLES AND PROBLEM OF UNIFICATION BASES OF BIOLOGICAL LANGUAGES * Symmetry: Culture and Science Vols. 14-15, 281-307, 2003-2004 ATTRIBUTIVE CONCEPTION OF GENETIC CODE, ITS BI-PERIODIC TABLES AND PROBLEM OF UNIFICATION BASES OF BIOLOGICAL LANGUAGES * Sergei V. Petoukhov

More information

The genetic code, 8-dimensional hypercomplex numbers and dyadic shifts. Sergey V. Petoukhov

The genetic code, 8-dimensional hypercomplex numbers and dyadic shifts. Sergey V. Petoukhov The genetic code, 8-dimensional hypercomplex numbers and dyadic shifts Sergey V. Petoukhov Head of Laboratory of Biomechanical System, Mechanical Engineering Research Institute of the Russian Academy of

More information

On the optimality of the standard genetic code: the role of stop codons

On the optimality of the standard genetic code: the role of stop codons On the optimality of the standard genetic code: the role of stop codons Sergey Naumenko 1*, Andrew Podlazov 1, Mikhail Burtsev 1,2, George Malinetsky 1 1 Department of Non-linear Dynamics, Keldysh Institute

More information

Supplemental Materials for. Structural Diversity of Protein Segments Follows a Power-law Distribution

Supplemental Materials for. Structural Diversity of Protein Segments Follows a Power-law Distribution Supplemental Materials for Structural Diversity of Protein Segments Follows a Power-law Distribution Yoshito SAWADA and Shinya HONDA* National Institute of Advanced Industrial Science and Technology (AIST),

More information

C H E M I S T R Y N A T I O N A L Q U A L I F Y I N G E X A M I N A T I O N SOLUTIONS GUIDE

C H E M I S T R Y N A T I O N A L Q U A L I F Y I N G E X A M I N A T I O N SOLUTIONS GUIDE C H E M I S T R Y 2 0 0 0 A T I A L Q U A L I F Y I G E X A M I A T I SLUTIS GUIDE Answers are a guide only and do not represent a preferred method of solving problems. Section A 1B, 2A, 3C, 4C, 5D, 6D,

More information

Chapter 4: Amino Acids

Chapter 4: Amino Acids Chapter 4: Amino Acids All peptides and polypeptides are polymers of alpha-amino acids. lipid polysaccharide enzyme 1940s 1980s. Lipids membrane 1960s. Polysaccharide Are energy metabolites and many of

More information

What makes a good graphene-binding peptide? Adsorption of amino acids and peptides at aqueous graphene interfaces: Electronic Supplementary

What makes a good graphene-binding peptide? Adsorption of amino acids and peptides at aqueous graphene interfaces: Electronic Supplementary Electronic Supplementary Material (ESI) for Journal of Materials Chemistry B. This journal is The Royal Society of Chemistry 21 What makes a good graphene-binding peptide? Adsorption of amino acids and

More information

Get started on your Cornell notes right away

Get started on your Cornell notes right away UNIT 10: Evolution DAYSHEET 100: Introduction to Evolution Name Biology I Date: Bellringer: 1. Get out your technology and go to www.biomonsters.com 2. Click the Biomonsters Cinema link. 3. Click the CHS

More information

7.012 Problem Set 1. i) What are two main differences between prokaryotic cells and eukaryotic cells?

7.012 Problem Set 1. i) What are two main differences between prokaryotic cells and eukaryotic cells? ame 7.01 Problem Set 1 Section Question 1 a) What are the four major types of biological molecules discussed in lecture? Give one important function of each type of biological molecule in the cell? b)

More information

Supplementary Information Intrinsic Localized Modes in Proteins

Supplementary Information Intrinsic Localized Modes in Proteins Supplementary Information Intrinsic Localized Modes in Proteins Adrien Nicolaï 1,, Patrice Delarue and Patrick Senet, 1 Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute,

More information

Week 6: Protein sequence models, likelihood, hidden Markov models

Week 6: Protein sequence models, likelihood, hidden Markov models Week 6: Protein sequence models, likelihood, hidden Markov models Genome 570 February, 2016 Week 6: Protein sequence models, likelihood, hidden Markov models p.1/57 Variation of rates of evolution across

More information

Degeneracy. Two types of degeneracy:

Degeneracy. Two types of degeneracy: Degeneracy The occurrence of more than one codon for an amino acid (AA). Most differ in only the 3 rd (3 ) base, with the 1 st and 2 nd being most important for distinguishing the AA. Two types of degeneracy:

More information

Supplementary figure 1. Comparison of unbound ogm-csf and ogm-csf as captured in the GIF:GM-CSF complex. Alignment of two copies of unbound ovine

Supplementary figure 1. Comparison of unbound ogm-csf and ogm-csf as captured in the GIF:GM-CSF complex. Alignment of two copies of unbound ovine Supplementary figure 1. Comparison of unbound and as captured in the GIF:GM-CSF complex. Alignment of two copies of unbound ovine GM-CSF (slate) with bound GM-CSF in the GIF:GM-CSF complex (GIF: green,

More information

DNA Barcoding and taxonomy of Glossina

DNA Barcoding and taxonomy of Glossina DNA Barcoding and taxonomy of Glossina Dan Masiga Molecular Biology and Biotechnology Department, icipe & Johnson Ouma Trypanosomiasis Research Centre, KARI The taxonomic problem Following ~250 years of

More information

Other Methods for Generating Ions 1. MALDI matrix assisted laser desorption ionization MS 2. Spray ionization techniques 3. Fast atom bombardment 4.

Other Methods for Generating Ions 1. MALDI matrix assisted laser desorption ionization MS 2. Spray ionization techniques 3. Fast atom bombardment 4. Other Methods for Generating Ions 1. MALDI matrix assisted laser desorption ionization MS 2. Spray ionization techniques 3. Fast atom bombardment 4. Field Desorption 5. MS MS techniques Matrix assisted

More information

Leber s Hereditary Optic Neuropathy

Leber s Hereditary Optic Neuropathy Leber s Hereditary Optic Neuropathy Dear Editor: It is well known that the majority of Leber s hereditary optic neuropathy (LHON) cases was caused by 3 mtdna primary mutations (m.3460g A, m.11778g A, and

More information

Electronic Supplementary Information

Electronic Supplementary Information Electronic Supplementary Information A Sensitive Phosphorescent Thiol Chemosensor Based on an Iridium(III) Complex with α,β-unsaturated Ketone Functionalized 2,2 -Bipyridyl Ligand Na Zhao, a Yu-Hui Wu,

More information

Ramachandran Plot. 4ysz Phi (degrees) Plot statistics

Ramachandran Plot. 4ysz Phi (degrees) Plot statistics B Ramachandran Plot ~b b 135 b ~b ~l l Psi (degrees) 5-5 a A ~a L - -135 SER HIS (F) 59 (G) SER (B) ~b b LYS ASP ASP 315 13 13 (A) (F) (B) LYS ALA ALA 315 173 (E) 173 (E)(A) ~p p ~b - -135 - -5 5 135 (degrees)

More information

Practice Problems 6. a) Why is there such a big difference between the length of the HMG CoA gene found on chromosome 5 and the length of the mrna?

Practice Problems 6. a) Why is there such a big difference between the length of the HMG CoA gene found on chromosome 5 and the length of the mrna? Life Sciences 1a Practice Probems 6 1. HMG CoA Reductase is an enzyme invoved in the biosynthesis of choestero. The protein and mrna sequences were identified before the genomic sequence, and it was determined

More information

Complete mitochondrial genome of the Amur hedgehog Erinaceus amurensis (Erinaceidae) and higher phylogeny of the family Erinaceidae

Complete mitochondrial genome of the Amur hedgehog Erinaceus amurensis (Erinaceidae) and higher phylogeny of the family Erinaceidae Complete mitochondrial genome of the Amur hedgehog Erinaceus amurensis (Erinaceidae) and higher phylogeny of the family Erinaceidae N.H. Kim, S.J. Lim, H.M. Chae and Y.C. Park Division of Forest Science,

More information

STEPHEN L. DOBSON ET AL. WOLBACHIA SUPERINFECTION IN AEDES ALBOPICTUS ORIGIN OF WOLBACHIA SUPERINFECTION IN AEDES ALBOPICTUS BY SEQUENTIAL POPULATION

STEPHEN L. DOBSON ET AL. WOLBACHIA SUPERINFECTION IN AEDES ALBOPICTUS ORIGIN OF WOLBACHIA SUPERINFECTION IN AEDES ALBOPICTUS BY SEQUENTIAL POPULATION 1 LRH: RRH: STEPHEN L. DOBSON ET AL. WOLBACHIA SUPERINFECTION IN AEDES ALBOPICTUS TITLE: ORIGIN OF WOLBACHIA SUPERINFECTION IN AEDES ALBOPICTUS BY SEQUENTIAL POPULATION REPLACEMENT AUTHORS: Stephen L.

More information

Similarity or Identity? When are molecules similar?

Similarity or Identity? When are molecules similar? Similarity or Identity? When are molecules similar? Mapping Identity A -> A T -> T G -> G C -> C or Leu -> Leu Pro -> Pro Arg -> Arg Phe -> Phe etc If we map similarity using identity, how similar are

More information

In this article, we investigate the possible existence of errordetection/correction

In this article, we investigate the possible existence of errordetection/correction EYEWIRE BY DIEGO LUIS GONZALEZ, SIMONE GIANNERINI, AND RODOLFO ROSA In this article, we investigate the possible existence of errordetection/correction mechanisms in the genetic machinery by means of a

More information

Fundamental mathematical structures applied to physics and biology. Peter Rowlands and Vanessa Hill

Fundamental mathematical structures applied to physics and biology. Peter Rowlands and Vanessa Hill Fundamental mathematical structures applied to physics and biology. Peter Rowlands and Vanessa Hill Department of Physics, University of Liverpool, Oliver Lodge Laboratory, Oxford St, Liverpool, L69 7ZE,

More information

Could Genetic Code Be Understood Number Theoretically?

Could Genetic Code Be Understood Number Theoretically? Could Genetic Code Be Understood Number Theoretically? M. Pitkänen 1, April 20, 2008 1 Department of Physical Sciences, High Energy Physics Division, PL 64, FIN-00014, University of Helsinki, Finland.

More information

3. Evolution makes sense of homologies. 3. Evolution makes sense of homologies. 3. Evolution makes sense of homologies

3. Evolution makes sense of homologies. 3. Evolution makes sense of homologies. 3. Evolution makes sense of homologies Richard Owen (1848) introduced the term Homology to refer to structural similarities among organisms. To Owen, these similarities indicated that organisms were created following a common plan or archetype.

More information

arxiv: v2 [physics.bio-ph] 8 Mar 2018

arxiv: v2 [physics.bio-ph] 8 Mar 2018 Deciphering mrna Sequence Determinants of Protein Production Rate Juraj Szavits-Nossan SUPA, School of Physics and Astronomy, University of Edinburgh, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United

More information

Reducing Redundancy of Codons through Total Graph

Reducing Redundancy of Codons through Total Graph American Journal of Bioinformatics Original Research Paper Reducing Redundancy of Codons through Total Graph Nisha Gohain, Tazid Ali and Adil Akhtar Department of Mathematics, Dibrugarh University, Dibrugarh-786004,

More information

Using Higher Calculus to Study Biologically Important Molecules Julie C. Mitchell

Using Higher Calculus to Study Biologically Important Molecules Julie C. Mitchell Using Higher Calculus to Study Biologically Important Molecules Julie C. Mitchell Mathematics and Biochemistry University of Wisconsin - Madison 0 There Are Many Kinds Of Proteins The word protein comes

More information

RGP finder: prediction of Genomic Islands

RGP finder: prediction of Genomic Islands Training courses on MicroScope platform RGP finder: prediction of Genomic Islands Dynamics of bacterial genomes Gene gain Horizontal gene transfer Gene loss Deletion of one or several genes Duplication

More information

Drosophila melanogaster and D. simulans, two fruit fly species that are nearly

Drosophila melanogaster and D. simulans, two fruit fly species that are nearly Comparative Genomics: Human versus chimpanzee 1. Introduction The chimpanzee is the closest living relative to humans. The two species are nearly identical in DNA sequence (>98% identity), yet vastly different

More information

Organic Chemistry Option II: Chemical Biology

Organic Chemistry Option II: Chemical Biology Organic Chemistry Option II: Chemical Biology Recommended books: Dr Stuart Conway Department of Chemistry, Chemistry Research Laboratory, University of Oxford email: stuart.conway@chem.ox.ac.uk Teaching

More information

Protein Fragment Search Program ver Overview: Contents:

Protein Fragment Search Program ver Overview: Contents: Protein Fragment Search Program ver 1.1.1 Developed by: BioPhysics Laboratory, Faculty of Life and Environmental Science, Shimane University 1060 Nishikawatsu-cho, Matsue-shi, Shimane, 690-8504, Japan

More information

How Molecules Evolve. Advantages of Molecular Data for Tree Building. Advantages of Molecular Data for Tree Building

How Molecules Evolve. Advantages of Molecular Data for Tree Building. Advantages of Molecular Data for Tree Building How Molecules Evolve Guest Lecture: Principles and Methods of Systematic Biology 11 November 2013 Chris Simon Approaching phylogenetics from the point of view of the data Understanding how sequences evolve

More information

Ribosome kinetics and aa-trna competition determine rate and fidelity of peptide synthesis

Ribosome kinetics and aa-trna competition determine rate and fidelity of peptide synthesis University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Hendrik J. Viljoen Publications Chemical and Biomolecular Research Papers -- Faculty Authors Series October 2007 Ribosome

More information

RNA & PROTEIN SYNTHESIS. Making Proteins Using Directions From DNA

RNA & PROTEIN SYNTHESIS. Making Proteins Using Directions From DNA RNA & PROTEIN SYNTHESIS Making Proteins Using Directions From DNA RNA & Protein Synthesis v Nitrogenous bases in DNA contain information that directs protein synthesis v DNA remains in nucleus v in order

More information

Abstract Following Petoukhov and his collaborators we use two length n zero-one sequences, α and β,

Abstract Following Petoukhov and his collaborators we use two length n zero-one sequences, α and β, Studying Genetic Code by a Matrix Approach Tanner Crowder 1 and Chi-Kwong Li 2 Department of Mathematics, The College of William and Mary, Williamsburg, Virginia 23185, USA E-mails: tjcrow@wmedu, ckli@mathwmedu

More information

The Journal of Animal & Plant Sciences, 28(5): 2018, Page: Sadia et al., ISSN:

The Journal of Animal & Plant Sciences, 28(5): 2018, Page: Sadia et al., ISSN: The Journal of Animal & Plant Sciences, 28(5): 2018, Page: 1532-1536 Sadia et al., ISSN: 1018-7081 Short Communication BIOINFORMATICS ANALYSIS OF CODON USAGE BIAS AND RNA SECONDARY STRUCTURES FOR SALT

More information

Could Genetic Code Be Understood Number Theoretically?

Could Genetic Code Be Understood Number Theoretically? CONTENTS 1 Could Genetic Code Be Understood Number Theoretically? M. Pitkänen, November 30, 2016 Email: matpitka@luukku.com. http://tgdtheory.com/public_html/. Recent postal address: Karkinkatu 3 I 3,

More information

Bioinformatics. Part 8. Sequence Analysis An introduction. Mahdi Vasighi

Bioinformatics. Part 8. Sequence Analysis An introduction. Mahdi Vasighi Bioinformatics Sequence Analysis An introduction Part 8 Mahdi Vasighi Sequence analysis Some of the earliest problems in genomics concerned how to measure similarity of DNA and protein sequences, either

More information

Geometrical Concept-reduction in conformational space.and his Φ-ψ Map. G. N. Ramachandran

Geometrical Concept-reduction in conformational space.and his Φ-ψ Map. G. N. Ramachandran Geometrical Concept-reduction in conformational space.and his Φ-ψ Map G. N. Ramachandran Communication paths in trna-synthetase: Insights from protein structure networks and MD simulations Saraswathi Vishveshwara

More information

Unraveling the degradation of artificial amide bonds in Nylon oligomer hydrolase: From induced-fit to acylation processes

Unraveling the degradation of artificial amide bonds in Nylon oligomer hydrolase: From induced-fit to acylation processes Electronic Supplementary Material (ESI) for Physical Chemistry Chemical Physics. This journal is the Owner Societies 2015 Supporting Information for Unraveling the degradation of artificial amide bonds

More information

The Trigram and other Fundamental Philosophies

The Trigram and other Fundamental Philosophies The Trigram and other Fundamental Philosophies by Weimin Kwauk July 2012 The following offers a minimal introduction to the trigram and other Chinese fundamental philosophies. A trigram consists of three

More information

1. Contains the sugar ribose instead of deoxyribose. 2. Single-stranded instead of double stranded. 3. Contains uracil in place of thymine.

1. Contains the sugar ribose instead of deoxyribose. 2. Single-stranded instead of double stranded. 3. Contains uracil in place of thymine. Protein Synthesis & Mutations RNA 1. Contains the sugar ribose instead of deoxyribose. 2. Single-stranded instead of double stranded. 3. Contains uracil in place of thymine. RNA Contains: 1. Adenine 2.

More information

Analysis of Codon Usage Bias of Delta 6 Fatty Acid Elongase Gene in Pyramimonas cordata isolate CS-140

Analysis of Codon Usage Bias of Delta 6 Fatty Acid Elongase Gene in Pyramimonas cordata isolate CS-140 Analysis of Codon Usage Bias of Delta 6 Fatty Acid Elongase Gene in Pyramimonas cordata isolate CS-140 Xue Wei Dong 1, You Zhi Li 1, Yu Ping Bi 2, Zhen Ying Peng 2, Qing Fang He 2,3* 1. College of Life

More information