Sex-Linked Inheritance in Macaque Monkeys: Implications for Effective Population Size and Dispersal to Sulawesi

Size: px
Start display at page:

Download "Sex-Linked Inheritance in Macaque Monkeys: Implications for Effective Population Size and Dispersal to Sulawesi"

Transcription

1 Supporting Information Sex-Linked Inheritance in Macaque Monkeys: Implications for Effective Population Size and Dispersal to Sulawesi Ben J. Evans, Laura Pin, Don J. Melnick and Stephen I. Wright Copyright 2010 by the Genetics Society of America DOI: /genetics

2 2 SI B. J. Evans et al. FILE S1 Additional information on sampling locations, PCR primers, and MIMAR commands used in this study Supplementary data on genetic samples used in this study. Sample ID Species Sex Locality Information Other WM0011 M. maura male Bontobahari, Sulawesi Selatan Wild caught WM009 M. maura male Bontobahari, Sulawesi Selatan Wild caught PM1014 M. hecki male 60km west of Gouonlalo, Paguyaman town; Sulawesi Island Friend caught it PM545 M. tonkeana (East) male Malik; Pangimanan district; Owner caught it Sulawesi Island PF559 M. tonkeana (West) Female Salukondo Forest; Sulawesi Tengah PF560 M. tonkeana (West) Female Dmu Forest; Sulawesi Tengah Owner caught it PM561 M. tonkeana (West) male Tambaro near Tagolu Lagi disrict; Sulawesi Island Owner's dog helped chatch it in the forest PM574 M. ochreata male Wosu Forest; Sulawesi Tengah Owner caught it PM582 M. tonkeana (West) male Lee forest west of Gontara; Owner caught it as baby Sulawesi Island PF599 M. tonkeana (West) female Betwee Donggala and Towale; Brother of owner caught it Sulawesi Tengah PM604 M. tonkeana (West) male Enrekang; Sulawesi Island Caught on mountain 2km away by father of owner PM638 M. hecki male 1/2km north Marantale; Sulawesi Island PM704 M. ochreata male 15km north of Kolaka; Sulawesi Island PM655 M. nigrescens male 5 km east of Bilungala; Sulawesi Island PM661 M. nigra male Kauditan; Klabat Mountain, 6km from Kauditan; Sulawesi Island PM665 M. nemestrina nemestrina male Kariabarun 7km from Karanbaurun in between Puruajaya and Sungai Merdeka; 75km from Balikpapan 45km from Saurarande; Eastern Borneo Island PM3003 M. nemestrina nemestrina male Pontanak Camp Silva; Western Borneo Island; origin unknown PM1210 M. nemestrina nemestrina male Probably from Tongarong; Borneo Island; origin unknown PM1211 M. nemestrina nemestrina male Sampled near Balikpapan in a small zoo; Borneo Island; origin unknown PM3005 M. nemestrina nemestrina male Pontianak Zoo PM3005 M. nemestrina nemestrina male Pontianak Zoo; Western Borneo Island Caught by trap Caught by owner in trap for monkeys Caught with hands while young, had no hair, still very young; 1 year Owner caught with rope trap; 4 months here; excelennt locality; same owner as PF660 Owner caught it when fell out of tree Given by a man from Sangao near boarder with Malaysia PF1214 M. nemestrina nemestrina female Police Station in Samarinda PM1215 M. nemestrina nemestrina male Near Sauramider; Borneo Island Caught by owner 7 years; near Sauramider; good locality info PM664 M. nemestrina nemestrina male Samboja; Barabai; South Bought Kalimantan; Borneo Island PM1206 M. nemestrina nemestrina male Between Binnang and Martapura; Borneo Island Caught by neighbours when young Suka M. nemestrina nemestrina male PF1204 M. nemestrina nemestrina female Near Buntok; Borneo Island Caught by owner PF1207 M. nemestrina nemestrina female Near Kandangan; Borneo Island Caught by owner PF1208 M. nemestrina nemestrina female Paringin; Borneo Island; origin unknown pag930 M. nemestrina pagensis male Ngsang M. nemestrina nemestrina female Ngsang, Sumatra Island PM666 M. fascicularis male Near Bargut river; Borneo Island Caught with hands

3 B. J. Evans et al. 3 SI Supporting material on PCR primers used in this study Mitochrondrial DNA CYT-L (ROOS et al. 2003) 5 AAT GAT ATG AAA AAC CAT CGT TTT A 3 CYT-H (ROOS et al. 2003) 5 AAA ATC CCC TTC CAC CCC TAC TA 3 CTYB_14658_FOR2 5 CTC CCR TGR GGC CAA ATA TCA TTC TG 3 CYTB_15403_REV1 5 CAR GTT CAY TTG AGT AGG TTG TTT TC 3 CTYB_15277_FOR4 5 GAA GCG AAC CAG TAR TCC AAC C 3 DLOOP_16073_REV3 5 TAA GRG GAA CGT GTG GGC G 3 Y chromosome DNA AMLEYforward3 5 CAG AGC ATG ATA AGA CCA CCA 3 AMLEYreverse 5 AGA CCC TGA GTT GTT GGA CC 3 DBYforward2 DBYreverse2 DBY_internal_forward1 DBY_internal_reverse1 5 CAC TGT GAG TAA ACA AAG CC 3 (PCR) 5 CAC CCT CTC TAA TAA TCA T 3 (PCR) 5 GTC TCG TTC TGT CAC TCA G 3 (Sequencing) 5 GTT TCC TAC ACG TCC TGT ACG 3 (Sequencing) PRKYforward 5 GTG CTG ACA CCT AGC TGA CGG T 3 PRKYreverse5 5 ACA CTC CTC TRT ATG CCC 3 SMCYforward 5 GTG TCT GAG CCC TGT TAC AG 3 SMCYreverse 5 ACA AGA CTG GAG CTA CAA G 3 SMCYreverse2 5 GAA TGG AGC AAA GGG ACT AGG C 3 SW2 (TOSI et al. 2000) 5 CTT GAG AAT GAA TAC ATT GTC AGG G 3 SW3B (TOSI et al. 2000) 5 AGG TGT TTG TAG CCA ATG TTA CCC G 3 TBL1Yforward 5 AGT GCC CTT TAA ATG CCT TC 3 TBL1Yreverse2 5 CCT ATG TCT GCA CAC ATT CCA TCA 3 USP9Yforward 5 CTG TTC TAG TTA CAA GAG AAC ATT TG 3 USP9Yreverse 5 ATC CTA GAA GCC AAA TAA AAA C 3 UTYforward2 5 AGA GTT TTC TGT ATA TGC 3 UTYreverse2 5 CCA CAC TAA CCT GCA TGC T 3 ZFYforward 5 ATT CAT GAG GAG ACC AGA AGT TTG ATT A 3 ZFYreverse 5 ATG TCT ACA TTG GTG CAT TTT TTT ACC T 3 X chromosome DNA AMLEXforward 5 ATC AGT GAG TTT CTA TAT T 3 AMLEXreverse 5 AGA TCC TTG GTT GTC GGA GA 3 CXorf15for2 5 TGG CAA GAA GCA AGC TAG AGT CTC 3 CXorf15rev1 5 CTT TCC TTC TTC CCC TGT TGA TAC 3

4 4 SI B. J. Evans et al. DBXforward 5 AGA CAA AAA AGG GAG CAG ATT CT 3 DBXreverse 5 CAG CTG CTG CTT GTA TGA CTA CTA CT 3 EF1AX_for5 5 AGT ATG CTC AGG TAA TCA AAA TGT TG 3 EFiAX_rev5 5 GGG CTG ACT GCT TGA GCT CAG G 3 NLGN4Xforward 5 GAC ATG GTA GAA TGC CTG CG 3 NLGN4Xreverse 5 CGT GTG CTC GTG CAA GTG GCA 3 PRKXforward 5 TCT GTC TGT ACA CAC ATT TTG G 3 PRKXreverse 5 CTT CCT GCC CAC CGG CTC TTG G 3 RBMXfor1 5 GTT GCG CAG TAG TGC TAG CGG C 3 RBMXrev2 5 TAA AAA CCG CGT GTA AAA GAC 3 SOX3forward3 5 CAG CCA GAC TGT GAA TGC GAC C 3 SOX3reverse3 5 GAC GTT CAT GTA GCT CTG AGC 3 TBL1Xforward 5 AGM GCC CTT TAA GTG TGT TT 3 TBL1Xreverse 5 GCC TCC TAT GTC TGC ATG RGC 3 TMSB4Xforward 5 GCT CTT CCT CAC GCT CGC TC 3 TMSB4Xreverse 5 TAC AGT GCA TAT TGG CGG CG 3 USP9Xforward 5 GGA TTT TAA TAG AAC ATC TRG TAA C 3 USP9Xreverse 5 TAC TAA GAA GCT AAA CTC TC 3 UTXforward 5 CTG TAC ATT CTC ART TTG CT 3 UTXreverse 5 ATT TCA GCA TTC TGA TCA T 3 ZFXforward 5 AGA AAC TGG AAC AGA ACT TGG TTT G 3 ZFXreverse 5 ATG TCT ACA CTG GTG CAT TTT TTT GCC C 3 Autosomal DNA macaque_newbeta_for4 5 GGT ATG GCT GTC ATC ACT TAG 3 macaque_newbeta_rev4 5 GGG GAA AGA AAA CAT CAA GGG TC 3 CCL2_Forward (WRIGHT et al. 2006) 5 CCG AGA TGT TCC CAG CAC AG 3 CCL2_Reverse (WRIGHT et al. 2006) 5 CTG CTT TGC TTG TGC CTC TT 3 NRAMP_intron5_for (DEINARD and GLEN SMITH 2001) TCA TCG G 3 NRAMP_intron5_rev (DEINARD and GLEN SMITH 2001) AGA AGA AGG 3 5 ACA TGC AGG AAG 5 CGA GGA AGA GGA

5 B. J. Evans et al. 5 SI AFP_M13tag_for (STEVISON and KOHN 2009) 5 GTA AAA CGA CGG CCA GTC ACC ACT GCC AAT AAC AAA ATA AC 3 AFP_M13tag_rev (STEVISON and KOHN 2009) 5 AAC AGC TAT GAC CAT GCT GCA GTA CAT TGG TAA GAA TCC A 3 APOE_M13tag_for (STEVISON and KOHN 2009) 5 GTA AAA CGA CGG CCA GTG GTC GCT TTT GGG ATT ACC T 3 APOE_M13tag_rev (STEVISON and KOHN 2009) 5 AAC AGC TAT GAC CAT GCT TCA ACT CCT TCA TGG TCT CAT C 3 B2M_M13tag_for (STEVISON and KOHN 2009) 5 GTA AAA CGA CGG CCA GTC CAA AGA TTC AGG TTT ACT CAC G 3 B2M_M13tag_rev (STEVISON and KOHN 2009) 5 AAC AGC TAT GAC CAT GCC ATG ATG CTG CTT ACA TGT CT 3 TTR_M13_for (STEVISON and KOHN 2009) 5 GTA AAA CGA CGG CCA GTC CTC GCT GGA CTG GTA TTT G 3 TTR_M13tag_rev (STEVISON and KOHN 2009) 5 AAC AGC TAT GAC CAT GGA CCA TCA GAG GAC ACT TGG ATT 3 Sequencing primers for AFP, APOE, B2M, and TTR: M13_minus20_for 5 GTAAAACGACGGCCAGT 3 M13_minus24_rev 5 AACAGCTATGACCATG 3 IRBP_forward 5 AAA TGT GGC TCT CCC AAG TG 3 IRBP_reverse 5 CCT GGA GCA CCT GTC TTC TC 3 ASIP_for1 5 CCT CTT ACC ATT ACC CCG A 3 ASIP_Ag2R4_Reverse (MUNDY and KELLY 2006) 3 CTG TTG ACA GGA GTT CTG TGA TTC 3 ATXN10_L2_modified 5 AGT AAT TGC TCA AAG ATT AAA C 3 ATXN10_R1_modified 3 TTC AGA GAC TTC AGT AAA GAC AGG 3 GPR15forward 5 TGT GTT CCT GAC TGG AGT GC 3 GPR15reverse 5 CAG CCA GGA GAC AAG AAA GG 3 KFL10_for 5 CCT TCC TCA GAG ACG GTC AT 3 KFL10_reverse 5 TCA CAG CCA AAA CCT CTT CA 3 PDYN_forward1 5 GAA TGG GAG AGA TGC CAG AG 3 PDYN_reverse1 5 ACC GAG TCA CCA CCT TGA A 3 TRIM22_modified_Forward 5 CTC AAT GCC ATA AGA CAC ACC TAT CCC 3 TRIM22_335_reverse (SAWYER et al. 2007) 5 GAA GTG GGT AAG GGA ATT AGA ACA C 3

6 6 SI B. J. Evans et al. TRIM22_340_sequencing_forward (SAWYER et al. 2007) 5 GGA AAG ATT GCC TGG ATC CTG G 3 TRIM22_375_sequencing_reverse (SAWYER et al. 2007) 5 GAG GTC TGT ATT TGG AAT AAA CAT TTG C 3 Supporting material on demographic analysis: The relative N e of adna, xdna, ydna, and mtdna was calculated in a Wright-Fisher idealized population with either varying degrees of adult sex ratio skew or varying levels of female migration. Given the data and these expectations, the likelihood of alternative values of sex ratio skew or female migration was then evaluated using mlhka (WRIGHT and CHARLESWORTH 2004). For the model with a skewed sex ratio, assuming panmixia, effective population sizes of mtdna and ydna are respectively equal to half the effective number of females (N ef ) and males (N em ) in the population (HEDRICK 2007). N e is equal to (N k -1) / (k+v k /k-1), where k and V k are the mean and variance of progeny numbers (LANDE and BARROWCLOUGH 1987). When the number of female offspring per female is Poisson distributed with a mean of one (i.e. constant population size and sex ratio), k = V k and N e-mtdna = N ef /2 = (N f 1) / 2. When the number of male offspring per male is Poisson distributed with a mean of one, N e-ydna = N em /2 = (N m 1) / 2. N e-xdna is equal to 9N ef N em / (2N ef +4N em ) (WRIGHT 1933) and the effective population size of autosomal DNA (N e-adna ) is 4N em N ef / (N em +N ef ) (WRIGHT 1931). For the model with sex-biased migration, under the standard island model with s subpopulations of effective size (N s ) in which migration occurs from one subpopulation to another with a probability of m / (s-1), N e is equal to sn s (1+(s-1) 2 / (4N s ms 2 )) (NEI and TAKAHATA 1993). If dispersal is sex-biased, N e-xdna of the entire population can be calculated by using xdna values for m and N s. Dispersal of xdna to all subpopulations is equal to (2m f + m m ) / 3 where m m and m f are the dispersal probabilities of males and females to all subpopulations. N e-xdna of each subpopulation (N s-xdna ) is equal to 9N ef N em / (2N ef +4N em ). When the number of female progeny per female is Poisson distributed with a mean of 1, N ef is equal to s(n sf )[1+(s-1) 2 / (4N sf m f s 2 )] (NEI and TAKAHATA 1993), where N sf is the effective number of females per subpopulation (i.e., the number of females per subpopulation minus 1). N em can be calculated using the

7 B. J. Evans et al. 7 SI values of N e and m corresponding to males, and N e-mtdna and N e-ydna are respectively equal to half of these values. For the model with sex-biased dispersal, a population of 10,000 individuals with an equal proportion of each sex, a probability of male migration equal to 0.1 individuals per generation, and 10 equally sized subpopulations were assumed. These parameter values cause the ratio of N e-ydna to N e-xdna to be close to the ideal expectation with an equal proportion of males and females, irrespective of the female migration probability because at this or a higher level of male migration, variation in adna and xdna is homogenized by paternal gene flow (See Fig. 1b in main text). Supporting material on commands for MIMAR analysis: Below are the command lines used for each of the 4 models evaluated using MIMAR. Model 1: Samples from M. tonkeana and M. nemestrina, asymmetric ongoing migration with Borneo and intralocus recombination: Command line: mimar lf mimar_pamlstar_tonk.in -u 4.44e-9 -t u n u ej u N u m 1 2 l m 2 1 l i x 10 -y t -L 90 -v r e o exsoutput Model 2: Samples from M. tonkeana and M. nemestrina, with intralocus recombination but no migration with Borneo Command line: mimar lf mimar_pamlstar_tonk.in -u 4.44e-9 -t u n u ej u N u i x 10 - y t -L 90 -v r e o exsoutput Model 3: Samples from all Sulawesi species and M. nemestrina included, asymmetric ongoing migration with Borneo and intralocus recombination: Command line: mimar lf mimar_pamlstar.in -u 4.44e-9 -t u n u ej u N u m 1 2 l m 2 1 l i x 10 -y t -L 90 -v r e o exsoutput Model 4: Samples from all Sulawesi species and M. nemestrina included, with intralocus recombination but no migration with Borneo: Command line: mimar lf mimar_pamlstar.in -u 4.44e-9 -t u n u ej u N u i x 10 -y t -L 90 -v r e o exsoutput

8 8 SI B. J. Evans et al. References DEINARD, A., and D. GLEN SMITH, 2001 Phylogenetic relationships among the macaques: evidence from the nuclear locus NRAMP1. Journal of Human Evolution 41: HEDRICK, P. W., 2007 Sex: Differences in mutation, recombination, selection, gene flow, and genetic drift. Evolution 61: LANDE, R., and G. F. BARROWCLOUGH, 1987 Effective population size, genetic variation, and their use in population management, pp in Viable Populations for Conservation, edited by M. E. SOULÉ. Cambridge University Press, Cambridge. MUNDY, N. I., and J. KELLY, 2006 Investigation of the role of the agouti signaling protein gene (ASIP) in coat color evolution in primates. Mammalian Genome 17: NEI, M., and N. TAKAHATA, 1993 Effective population size, genetic diversity and coalescence time in subdivided populations. Journal of Molecular Evolution 37: ROOS, C., T. ZIEGLER, J. K. HODGES, H. ZISCHLER and C. ABEGG, 2003 Molecular phylogeny of Mentawai macaques: taxonomic and biogeographic implications. Molecular Phylogenetics and Evolution 29: SAWYER, S. L., M. EMERMAN and H. S. MALIK, 2007 Discordant evolution of the adjacent antiretroviral genes TRIM22 and TRIM5 in mammals. PLoS Pathogens 3: e197. STEVISON, L. S., and M. H. KOHN, 2009 Divergence population genetic analysis of hybridization between rhesus and cynomolgus macaques. Molecular Ecology 18: TOSI, A. J., J. C. MORALES and D. J. MELNICK, 2000 Comparison of Y-chromosome and mtdna phylogenies leads to unique inferences of macaque evolutionary history. Molecular Phylogenetics and Evolution 17: WRIGHT, E. K., J. E. CLEMENTS and S. A. BARBER, 2006 Sequence variation in the CCchemokine ligand 2 promoter of pigtailed macaques is not associated with the incidence or severity of neuropathology in a simian immunodeficiency virus model of human immunodeficiency virus central nervous system disease. Journal of Neurovirology 12: WRIGHT, S., 1931 Evolution in Mendelian populations. Genetics 16: WRIGHT, S., 1933 Inbreeding and homozygosis. Proceedings of the National Academy of Sciences 19: WRIGHT, S. I., and B. CHARLESWORTH, 2004 The HKA test revisited: a maximumlikelihood ratio test of the standard neutral model. Genetics 168:

9 B. J. Evans et al. 9 SI FIGURE S1. Posterior distributions of parameters of (A) 4Neμ of macaque monkey populations on Borneo ( B ), combined data from all Sulawesi species except M. brunnescens ( S ), and the ancestor of these populations before divergence ( A ) for models with and without migration. (B) divergence time (T) in generations for each model. (C) migration from Borneo to Sulawesi (m BS ) and from Sulawesi to Borneo (m SB ) in the model with asymmetric migration.

10 10 SI B. J. Evans et al. FIGURE S2. Genealogies of mtdna and ydna. Labels follow Fig. 5.

Practical Bioinformatics

Practical Bioinformatics 5/2/2017 Dictionaries d i c t i o n a r y = { A : T, T : A, G : C, C : G } d i c t i o n a r y [ G ] d i c t i o n a r y [ N ] = N d i c t i o n a r y. h a s k e y ( C ) Dictionaries g e n e t i c C o

More information

SUPPORTING INFORMATION FOR. SEquence-Enabled Reassembly of β-lactamase (SEER-LAC): a Sensitive Method for the Detection of Double-Stranded DNA

SUPPORTING INFORMATION FOR. SEquence-Enabled Reassembly of β-lactamase (SEER-LAC): a Sensitive Method for the Detection of Double-Stranded DNA SUPPORTING INFORMATION FOR SEquence-Enabled Reassembly of β-lactamase (SEER-LAC): a Sensitive Method for the Detection of Double-Stranded DNA Aik T. Ooi, Cliff I. Stains, Indraneel Ghosh *, David J. Segal

More information

Supplemental data. Pommerrenig et al. (2011). Plant Cell /tpc

Supplemental data. Pommerrenig et al. (2011). Plant Cell /tpc Supplemental Figure 1. Prediction of phloem-specific MTK1 expression in Arabidopsis shoots and roots. The images and the corresponding numbers showing absolute (A) or relative expression levels (B) of

More information

High throughput near infrared screening discovers DNA-templated silver clusters with peak fluorescence beyond 950 nm

High throughput near infrared screening discovers DNA-templated silver clusters with peak fluorescence beyond 950 nm Electronic Supplementary Material (ESI) for Nanoscale. This journal is The Royal Society of Chemistry 2018 High throughput near infrared screening discovers DNA-templated silver clusters with peak fluorescence

More information

SSR ( ) Vol. 48 No ( Microsatellite marker) ( Simple sequence repeat,ssr),

SSR ( ) Vol. 48 No ( Microsatellite marker) ( Simple sequence repeat,ssr), 48 3 () Vol. 48 No. 3 2009 5 Journal of Xiamen University (Nat ural Science) May 2009 SSR,,,, 3 (, 361005) : SSR. 21 516,410. 60 %96. 7 %. (),(Between2groups linkage method),.,, 11 (),. 12,. (, ), : 0.

More information

Crick s early Hypothesis Revisited

Crick s early Hypothesis Revisited Crick s early Hypothesis Revisited Or The Existence of a Universal Coding Frame Ryan Rossi, Jean-Louis Lassez and Axel Bernal UPenn Center for Bioinformatics BIOINFORMATICS The application of computer

More information

Advanced topics in bioinformatics

Advanced topics in bioinformatics Feinberg Graduate School of the Weizmann Institute of Science Advanced topics in bioinformatics Shmuel Pietrokovski & Eitan Rubin Spring 2003 Course WWW site: http://bioinformatics.weizmann.ac.il/courses/atib

More information

Clay Carter. Department of Biology. QuickTime and a TIFF (Uncompressed) decompressor are needed to see this picture.

Clay Carter. Department of Biology. QuickTime and a TIFF (Uncompressed) decompressor are needed to see this picture. QuickTime and a TIFF (Uncompressed) decompressor are needed to see this picture. Clay Carter Department of Biology QuickTime and a TIFF (LZW) decompressor are needed to see this picture. Ornamental tobacco

More information

Number-controlled spatial arrangement of gold nanoparticles with

Number-controlled spatial arrangement of gold nanoparticles with Electronic Supplementary Material (ESI) for RSC Advances. This journal is The Royal Society of Chemistry 2016 Number-controlled spatial arrangement of gold nanoparticles with DNA dendrimers Ping Chen,*

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

Characterization of Pathogenic Genes through Condensed Matrix Method, Case Study through Bacterial Zeta Toxin

Characterization of Pathogenic Genes through Condensed Matrix Method, Case Study through Bacterial Zeta Toxin International Journal of Genetic Engineering and Biotechnology. ISSN 0974-3073 Volume 2, Number 1 (2011), pp. 109-114 International Research Publication House http://www.irphouse.com Characterization of

More information

SUPPLEMENTARY DATA - 1 -

SUPPLEMENTARY DATA - 1 - - 1 - SUPPLEMENTARY DATA Construction of B. subtilis rnpb complementation plasmids For complementation, the B. subtilis rnpb wild-type gene (rnpbwt) under control of its native rnpb promoter and terminator

More information

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1

Nature Structural & Molecular Biology: doi: /nsmb Supplementary Figure 1 Supplementary Figure 1 Zn 2+ -binding sites in USP18. (a) The two molecules of USP18 present in the asymmetric unit are shown. Chain A is shown in blue, chain B in green. Bound Zn 2+ ions are shown as

More information

Supplementary Information for

Supplementary Information for Supplementary Information for Evolutionary conservation of codon optimality reveals hidden signatures of co-translational folding Sebastian Pechmann & Judith Frydman Department of Biology and BioX, Stanford

More information

Table S1. Primers and PCR conditions used in this paper Primers Sequence (5 3 ) Thermal conditions Reference Rhizobacteria 27F 1492R

Table S1. Primers and PCR conditions used in this paper Primers Sequence (5 3 ) Thermal conditions Reference Rhizobacteria 27F 1492R Table S1. Primers and PCR conditions used in this paper Primers Sequence (5 3 ) Thermal conditions Reference Rhizobacteria 27F 1492R AAC MGG ATT AGA TAC CCK G GGY TAC CTT GTT ACG ACT T Detection of Candidatus

More information

Electronic supplementary material

Electronic supplementary material Applied Microbiology and Biotechnology Electronic supplementary material A family of AA9 lytic polysaccharide monooxygenases in Aspergillus nidulans is differentially regulated by multiple substrates and

More information

NSCI Basic Properties of Life and The Biochemistry of Life on Earth

NSCI Basic Properties of Life and The Biochemistry of Life on Earth NSCI 314 LIFE IN THE COSMOS 4 Basic Properties of Life and The Biochemistry of Life on Earth Dr. Karen Kolehmainen Department of Physics CSUSB http://physics.csusb.edu/~karen/ WHAT IS LIFE? HARD TO DEFINE,

More information

Regulatory Sequence Analysis. Sequence models (Bernoulli and Markov models)

Regulatory Sequence Analysis. Sequence models (Bernoulli and Markov models) Regulatory Sequence Analysis Sequence models (Bernoulli and Markov models) 1 Why do we need random models? Any pattern discovery relies on an underlying model to estimate the random expectation. This model

More information

TM1 TM2 TM3 TM4 TM5 TM6 TM bp

TM1 TM2 TM3 TM4 TM5 TM6 TM bp a 467 bp 1 482 2 93 3 321 4 7 281 6 21 7 66 8 176 19 12 13 212 113 16 8 b ATG TCA GGA CAT GTA ATG GAG GAA TGT GTA GTT CAC GGT ACG TTA GCG GCA GTA TTG CGT TTA ATG GGC GTA GTG M S G H V M E E C V V H G T

More information

Supplemental Figure 1.

Supplemental Figure 1. A wt spoiiiaδ spoiiiahδ bofaδ B C D E spoiiiaδ, bofaδ Supplemental Figure 1. GFP-SpoIVFA is more mislocalized in the absence of both BofA and SpoIIIAH. Sporulation was induced by resuspension in wild-type

More information

Supporting Information

Supporting Information Supporting Information T. Pellegrino 1,2,3,#, R. A. Sperling 1,#, A. P. Alivisatos 2, W. J. Parak 1,2,* 1 Center for Nanoscience, Ludwig Maximilians Universität München, München, Germany 2 Department of

More information

Supplementary Information

Supplementary Information Electronic Supplementary Material (ESI) for RSC Advances. This journal is The Royal Society of Chemistry 2014 Directed self-assembly of genomic sequences into monomeric and polymeric branched DNA structures

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

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION DOI:.8/NCHEM. Conditionally Fluorescent Molecular Probes for Detecting Single Base Changes in Double-stranded DNA Sherry Xi Chen, David Yu Zhang, Georg Seelig. Analytic framework and probe design.. Design

More information

Supporting Information for. Initial Biochemical and Functional Evaluation of Murine Calprotectin Reveals Ca(II)-

Supporting Information for. Initial Biochemical and Functional Evaluation of Murine Calprotectin Reveals Ca(II)- Supporting Information for Initial Biochemical and Functional Evaluation of Murine Calprotectin Reveals Ca(II)- Dependence and Its Ability to Chelate Multiple Nutrient Transition Metal Ions Rose C. Hadley,

More information

Modelling and Analysis in Bioinformatics. Lecture 1: Genomic k-mer Statistics

Modelling and Analysis in Bioinformatics. Lecture 1: Genomic k-mer Statistics 582746 Modelling and Analysis in Bioinformatics Lecture 1: Genomic k-mer Statistics Juha Kärkkäinen 06.09.2016 Outline Course introduction Genomic k-mers 1-Mers 2-Mers 3-Mers k-mers for Larger k Outline

More information

Why do more divergent sequences produce smaller nonsynonymous/synonymous

Why do more divergent sequences produce smaller nonsynonymous/synonymous Genetics: Early Online, published on June 21, 2013 as 10.1534/genetics.113.152025 Why do more divergent sequences produce smaller nonsynonymous/synonymous rate ratios in pairwise sequence comparisons?

More information

6.047 / Computational Biology: Genomes, Networks, Evolution Fall 2008

6.047 / Computational Biology: Genomes, Networks, Evolution Fall 2008 MIT OpenCourseWare http://ocw.mit.edu 6.047 / 6.878 Computational Biology: Genomes, Networks, Evolution Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.

More information

Building a Multifunctional Aptamer-Based DNA Nanoassembly for Targeted Cancer Therapy

Building a Multifunctional Aptamer-Based DNA Nanoassembly for Targeted Cancer Therapy Supporting Information Building a Multifunctional Aptamer-Based DNA Nanoassembly for Targeted Cancer Therapy Cuichen Wu,, Da Han,, Tao Chen,, Lu Peng, Guizhi Zhu,, Mingxu You,, Liping Qiu,, Kwame Sefah,

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION DOI:.38/NCHEM.246 Optimizing the specificity of nucleic acid hyridization David Yu Zhang, Sherry Xi Chen, and Peng Yin. Analytic framework and proe design 3.. Concentration-adjusted

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

Supplemental Table 1. Primers used for cloning and PCR amplification in this study

Supplemental Table 1. Primers used for cloning and PCR amplification in this study Supplemental Table 1. Primers used for cloning and PCR amplification in this study Target Gene Primer sequence NATA1 (At2g393) forward GGG GAC AAG TTT GTA CAA AAA AGC AGG CTT CAT GGC GCC TCC AAC CGC AGC

More information

Evolvable Neural Networks for Time Series Prediction with Adaptive Learning Interval

Evolvable Neural Networks for Time Series Prediction with Adaptive Learning Interval Evolvable Neural Networs for Time Series Prediction with Adaptive Learning Interval Dong-Woo Lee *, Seong G. Kong *, and Kwee-Bo Sim ** *Department of Electrical and Computer Engineering, The University

More information

The role of the FliD C-terminal domain in pentamer formation and

The role of the FliD C-terminal domain in pentamer formation and The role of the FliD C-terminal domain in pentamer formation and interaction with FliT Hee Jung Kim 1,2,*, Woongjae Yoo 3,*, Kyeong Sik Jin 4, Sangryeol Ryu 3,5 & Hyung Ho Lee 1, 1 Department of Chemistry,

More information

part 3: analysis of natural selection pressure

part 3: analysis of natural selection pressure part 3: analysis of natural selection pressure markov models are good phenomenological codon models do have many benefits: o principled framework for statistical inference o avoiding ad hoc corrections

More information

Protein Threading. Combinatorial optimization approach. Stefan Balev.

Protein Threading. Combinatorial optimization approach. Stefan Balev. Protein Threading Combinatorial optimization approach Stefan Balev Stefan.Balev@univ-lehavre.fr Laboratoire d informatique du Havre Université du Havre Stefan Balev Cours DEA 30/01/2004 p.1/42 Outline

More information

evoglow - express N kit distributed by Cat.#: FP product information broad host range vectors - gram negative bacteria

evoglow - express N kit distributed by Cat.#: FP product information broad host range vectors - gram negative bacteria evoglow - express N kit broad host range vectors - gram negative bacteria product information distributed by Cat.#: FP-21020 Content: Product Overview... 3 evoglow express N -kit... 3 The evoglow -Fluorescent

More information

The 3 Genomic Numbers Discovery: How Our Genome Single-Stranded DNA Sequence Is Self-Designed as a Numerical Whole

The 3 Genomic Numbers Discovery: How Our Genome Single-Stranded DNA Sequence Is Self-Designed as a Numerical Whole Applied Mathematics, 2013, 4, 37-53 http://dx.doi.org/10.4236/am.2013.410a2004 Published Online October 2013 (http://www.scirp.org/journal/am) The 3 Genomic Numbers Discovery: How Our Genome Single-Stranded

More information

evoglow - express N kit Cat. No.: product information broad host range vectors - gram negative bacteria

evoglow - express N kit Cat. No.: product information broad host range vectors - gram negative bacteria evoglow - express N kit broad host range vectors - gram negative bacteria product information Cat. No.: 2.1.020 evocatal GmbH 2 Content: Product Overview... 4 evoglow express N kit... 4 The evoglow Fluorescent

More information

Codon Distribution in Error-Detecting Circular Codes

Codon Distribution in Error-Detecting Circular Codes life Article Codon Distribution in Error-Detecting Circular Codes Elena Fimmel, * and Lutz Strüngmann Institute for Mathematical Biology, Faculty of Computer Science, Mannheim University of Applied Sciences,

More information

Evolutionary dynamics of abundant stop codon readthrough in Anopheles and Drosophila

Evolutionary dynamics of abundant stop codon readthrough in Anopheles and Drosophila biorxiv preprint first posted online May. 3, 2016; doi: http://dx.doi.org/10.1101/051557. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. All rights reserved.

More information

Re- engineering cellular physiology by rewiring high- level global regulatory genes

Re- engineering cellular physiology by rewiring high- level global regulatory genes Re- engineering cellular physiology by rewiring high- level global regulatory genes Stephen Fitzgerald 1,2,, Shane C Dillon 1, Tzu- Chiao Chao 2, Heather L Wiencko 3, Karsten Hokamp 3, Andrew DS Cameron

More information

ChemiScreen CaS Calcium Sensor Receptor Stable Cell Line

ChemiScreen CaS Calcium Sensor Receptor Stable Cell Line PRODUCT DATASHEET ChemiScreen CaS Calcium Sensor Receptor Stable Cell Line CATALOG NUMBER: HTS137C CONTENTS: 2 vials of mycoplasma-free cells, 1 ml per vial. STORAGE: Vials are to be stored in liquid N

More information

Introduction to Molecular Phylogeny

Introduction to Molecular Phylogeny Introduction to Molecular Phylogeny Starting point: a set of homologous, aligned DNA or protein sequences Result of the process: a tree describing evolutionary relationships between studied sequences =

More information

Near-instant surface-selective fluorogenic protein quantification using sulfonated

Near-instant surface-selective fluorogenic protein quantification using sulfonated Electronic Supplementary Material (ESI) for rganic & Biomolecular Chemistry. This journal is The Royal Society of Chemistry 2014 Supplemental nline Materials for ear-instant surface-selective fluorogenic

More information

Supplementary Information

Supplementary Information Supplementary Information Arginine-rhamnosylation as new strategy to activate translation elongation factor P Jürgen Lassak 1,2,*, Eva Keilhauer 3, Max Fürst 1,2, Kristin Wuichet 4, Julia Gödeke 5, Agata

More information

Insects act as vectors for a number of important diseases of

Insects act as vectors for a number of important diseases of pubs.acs.org/synthbio Novel Synthetic Medea Selfish Genetic Elements Drive Population Replacement in Drosophila; a Theoretical Exploration of Medea- Dependent Population Suppression Omar S. Abari,,# Chun-Hong

More information

Timing molecular motion and production with a synthetic transcriptional clock

Timing molecular motion and production with a synthetic transcriptional clock Timing molecular motion and production with a synthetic transcriptional clock Elisa Franco,1, Eike Friedrichs 2, Jongmin Kim 3, Ralf Jungmann 2, Richard Murray 1, Erik Winfree 3,4,5, and Friedrich C. Simmel

More information

AtTIL-P91V. AtTIL-P92V. AtTIL-P95V. AtTIL-P98V YFP-HPR

AtTIL-P91V. AtTIL-P92V. AtTIL-P95V. AtTIL-P98V YFP-HPR Online Resource 1. Primers used to generate constructs AtTIL-P91V, AtTIL-P92V, AtTIL-P95V and AtTIL-P98V and YFP(HPR) using overlapping PCR. pentr/d- TOPO-AtTIL was used as template to generate the constructs

More information

Encoding of Amino Acids and Proteins from a Communications and Information Theoretic Perspective

Encoding of Amino Acids and Proteins from a Communications and Information Theoretic Perspective Jacobs University Bremen Encoding of Amino Acids and Proteins from a Communications and Information Theoretic Perspective Semester Project II By: Dawit Nigatu Supervisor: Prof. Dr. Werner Henkel Transmission

More information

Chain-like assembly of gold nanoparticles on artificial DNA templates via Click Chemistry

Chain-like assembly of gold nanoparticles on artificial DNA templates via Click Chemistry Electronic Supporting Information: Chain-like assembly of gold nanoparticles on artificial DNA templates via Click Chemistry Monika Fischler, Alla Sologubenko, Joachim Mayer, Guido Clever, Glenn Burley,

More information

part 4: phenomenological load and biological inference. phenomenological load review types of models. Gαβ = 8π Tαβ. Newton.

part 4: phenomenological load and biological inference. phenomenological load review types of models. Gαβ = 8π Tαβ. Newton. 2017-07-29 part 4: and biological inference review types of models phenomenological Newton F= Gm1m2 r2 mechanistic Einstein Gαβ = 8π Tαβ 1 molecular evolution is process and pattern process pattern MutSel

More information

Pathways and Controls of N 2 O Production in Nitritation Anammox Biomass

Pathways and Controls of N 2 O Production in Nitritation Anammox Biomass Supporting Information for Pathways and Controls of N 2 O Production in Nitritation Anammox Biomass Chun Ma, Marlene Mark Jensen, Barth F. Smets, Bo Thamdrup, Department of Biology, University of Southern

More information

Using algebraic geometry for phylogenetic reconstruction

Using algebraic geometry for phylogenetic reconstruction Using algebraic geometry for phylogenetic reconstruction Marta Casanellas i Rius (joint work with Jesús Fernández-Sánchez) Departament de Matemàtica Aplicada I Universitat Politècnica de Catalunya IMA

More information

Evidence for Evolution: Change Over Time (Make Up Assignment)

Evidence for Evolution: Change Over Time (Make Up Assignment) Lesson 7.2 Evidence for Evolution: Change Over Time (Make Up Assignment) Name Date Period Key Terms Adaptive radiation Molecular Record Vestigial organ Homologous structure Strata Divergent evolution Evolution

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

FliZ Is a Posttranslational Activator of FlhD 4 C 2 -Dependent Flagellar Gene Expression

FliZ Is a Posttranslational Activator of FlhD 4 C 2 -Dependent Flagellar Gene Expression JOURNAL OF BACTERIOLOGY, July 2008, p. 4979 4988 Vol. 190, No. 14 0021-9193/08/$08.00 0 doi:10.1128/jb.01996-07 Copyright 2008, American Society for Microbiology. All Rights Reserved. FliZ Is a Posttranslational

More information

It is the author's version of the article accepted for publication in the journal "Biosystems" on 03/10/2015.

It is the author's version of the article accepted for publication in the journal Biosystems on 03/10/2015. It is the author's version of the article accepted for publication in the journal "Biosystems" on 03/10/2015. The system-resonance approach in modeling genetic structures Sergey V. Petoukhov Institute

More information

Supporting Information. An Electric Single-Molecule Hybridisation Detector for short DNA Fragments

Supporting Information. An Electric Single-Molecule Hybridisation Detector for short DNA Fragments Supporting Information An Electric Single-Molecule Hybridisation Detector for short DNA Fragments A.Y.Y. Loh, 1 C.H. Burgess, 2 D.A. Tanase, 1 G. Ferrari, 3 M.A. Maclachlan, 2 A.E.G. Cass, 1 T. Albrecht*

More information

THE MATHEMATICAL STRUCTURE OF THE GENETIC CODE: A TOOL FOR INQUIRING ON THE ORIGIN OF LIFE

THE MATHEMATICAL STRUCTURE OF THE GENETIC CODE: A TOOL FOR INQUIRING ON THE ORIGIN OF LIFE STATISTICA, anno LXIX, n. 2 3, 2009 THE MATHEMATICAL STRUCTURE OF THE GENETIC CODE: A TOOL FOR INQUIRING ON THE ORIGIN OF LIFE Diego Luis Gonzalez CNR-IMM, Bologna Section, Via Gobetti 101, I-40129, Bologna,

More information

Identification of a Locus Involved in the Utilization of Iron by Haemophilus influenzae

Identification of a Locus Involved in the Utilization of Iron by Haemophilus influenzae INFECrION AND IMMUNITY, OCt. 1994, p. 4515-4525 0019-9567/94/$04.00+0 Copyright 1994, American Society for Microbiology Vol. 62, No. 10 Identification of a Locus Involved in the Utilization of Iron by

More information

Phylogenetic Position of the Genus Trachypithecus as Inferred from Y-chromosome and Autosomal DNA Sequences

Phylogenetic Position of the Genus Trachypithecus as Inferred from Y-chromosome and Autosomal DNA Sequences Malaysian Journal of Biochemistry and Molecular Biology (), 8-8 Phylogenetic Position of the Genus Trachypithecus as Inferred from Y-chromosome and Autosomal DNA Sequences Md-Zain BM, Morales JC, Hassan

More information

Symmetry Studies. Marlos A. G. Viana

Symmetry Studies. Marlos A. G. Viana Symmetry Studies Marlos A. G. Viana aaa aac aag aat caa cac cag cat aca acc acg act cca ccc ccg cct aga agc agg agt cga cgc cgg cgt ata atc atg att cta ctc ctg ctt gaa gac gag gat taa tac tag tat gca gcc

More information

BIOL 502 Population Genetics Spring 2017

BIOL 502 Population Genetics Spring 2017 BIOL 502 Population Genetics Spring 2017 Lecture 1 Genomic Variation Arun Sethuraman California State University San Marcos Table of contents 1. What is Population Genetics? 2. Vocabulary Recap 3. Relevance

More information

Biosynthesis of Bacterial Glycogen: Primary Structure of Salmonella typhimurium ADPglucose Synthetase as Deduced from the

Biosynthesis of Bacterial Glycogen: Primary Structure of Salmonella typhimurium ADPglucose Synthetase as Deduced from the JOURNAL OF BACTERIOLOGY, Sept. 1987, p. 4355-4360 0021-9193/87/094355-06$02.00/0 Copyright X) 1987, American Society for Microbiology Vol. 169, No. 9 Biosynthesis of Bacterial Glycogen: Primary Structure

More information

Supplementary information. Porphyrin-Assisted Docking of a Thermophage Portal Protein into Lipid Bilayers: Nanopore Engineering and Characterization.

Supplementary information. Porphyrin-Assisted Docking of a Thermophage Portal Protein into Lipid Bilayers: Nanopore Engineering and Characterization. Supplementary information Porphyrin-Assisted Docking of a Thermophage Portal Protein into Lipid Bilayers: Nanopore Engineering and Characterization. Benjamin Cressiot #, Sandra J. Greive #, Wei Si ^#,

More information

Supplementary Figure 1. Schematic of split-merger microfluidic device used to add transposase to template drops for fragmentation.

Supplementary Figure 1. Schematic of split-merger microfluidic device used to add transposase to template drops for fragmentation. Supplementary Figure 1. Schematic of split-merger microfluidic device used to add transposase to template drops for fragmentation. Inlets are labelled in blue, outlets are labelled in red, and static channels

More information

Supplemental Figure 1. Differences in amino acid composition between the paralogous copies Os MADS17 and Os MADS6.

Supplemental Figure 1. Differences in amino acid composition between the paralogous copies Os MADS17 and Os MADS6. Supplemental Data. Reinheimer and Kellogg (2009). Evolution of AGL6-like MADSbox genes in grasses (Poaceae): ovule expression is ancient and palea expression is new Supplemental Figure 1. Differences in

More information

Glucosylglycerate phosphorylase, a novel enzyme specificity involved in compatible solute metabolism

Glucosylglycerate phosphorylase, a novel enzyme specificity involved in compatible solute metabolism Supplementary Information for Glucosylglycerate phosphorylase, a novel enzyme specificity involved in compatible solute metabolism Jorick Franceus, Denise Pinel, Tom Desmet Corresponding author: Tom Desmet,

More information

Evidence for RNA editing in mitochondria of all major groups of

Evidence for RNA editing in mitochondria of all major groups of Proc. Natl. Acad. Sci. USA Vol. 91, pp. 629-633, January 1994 Plant Biology Evidence for RNA editing in mitochondria of all major groups of land plants except the Bryophyta RUDOLF HIESEL, BRUNO COMBETTES*,

More information

How DNA barcoding can be more effective in microalgae. identification: a case of cryptic diversity revelation in Scenedesmus

How DNA barcoding can be more effective in microalgae. identification: a case of cryptic diversity revelation in Scenedesmus How DNA barcoding can be more effective in microalgae identification: a case of cryptic diversity revelation in Scenedesmus (Chlorophyceae) Shanmei Zou, Cong Fei, Chun Wang, Zhan Gao, Yachao Bao, Meilin

More information

ydci GTC TGT TTG AAC GCG GGC GAC TGG GCG CGC AAT TAA CGG TGT GTA GGC TGG AGC TGC TTC

ydci GTC TGT TTG AAC GCG GGC GAC TGG GCG CGC AAT TAA CGG TGT GTA GGC TGG AGC TGC TTC Table S1. DNA primers used in this study. Name ydci P1ydcIkd3 Sequence GTC TGT TTG AAC GCG GGC GAC TGG GCG CGC AAT TAA CGG TGT GTA GGC TGG AGC TGC TTC Kd3ydcIp2 lacz fusion YdcIendP1 YdcItrgP2 GAC AGC

More information

DNA sequence analysis of the imp UV protection and mutation operon of the plasmid TP110: identification of a third gene

DNA sequence analysis of the imp UV protection and mutation operon of the plasmid TP110: identification of a third gene QD) 1990 Oxford University Press Nucleic Acids Research, Vol. 18, No. 17 5045 DNA sequence analysis of the imp UV protection and mutation operon of the plasmid TP110: identification of a third gene David

More information

Motif Finding Algorithms. Sudarsan Padhy IIIT Bhubaneswar

Motif Finding Algorithms. Sudarsan Padhy IIIT Bhubaneswar Motif Finding Algorithms Sudarsan Padhy IIIT Bhubaneswar Outline Gene Regulation Regulatory Motifs The Motif Finding Problem Brute Force Motif Finding Consensus and Pattern Branching: Greedy Motif Search

More information

Supplemental Figure 1. Phenotype of ProRGA:RGAd17 plants under long day

Supplemental Figure 1. Phenotype of ProRGA:RGAd17 plants under long day Supplemental Figure 1. Phenotype of ProRGA:RGAd17 plants under long day conditions. Photo was taken when the wild type plant started to bolt. Scale bar represents 1 cm. Supplemental Figure 2. Flowering

More information

codon substitution models and the analysis of natural selection pressure

codon substitution models and the analysis of natural selection pressure 2015-07-20 codon substitution models and the analysis of natural selection pressure Joseph P. Bielawski Department of Biology Department of Mathematics & Statistics Dalhousie University introduction morphological

More information

Codon-model based inference of selection pressure. (a very brief review prior to the PAML lab)

Codon-model based inference of selection pressure. (a very brief review prior to the PAML lab) Codon-model based inference of selection pressure (a very brief review prior to the PAML lab) an index of selection pressure rate ratio mode example dn/ds < 1 purifying (negative) selection histones dn/ds

More information

Characterization of Multiple-Antimicrobial-Resistant Salmonella Serovars Isolated from Retail Meats

Characterization of Multiple-Antimicrobial-Resistant Salmonella Serovars Isolated from Retail Meats APPLIED AND ENVIRONMENTAL MICROBIOLOGY, Jan. 2004, p. 1 7 Vol. 70, No. 1 0099-2240/04/$08.00 0 DOI: 10.1128/AEM.70.1.1 7.2004 Copyright 2004, American Society for Microbiology. All Rights Reserved. Characterization

More information

Chemical Biology on Genomic DNA: minimizing PCR bias. Electronic Supplementary Information (ESI) for Chemical Communications

Chemical Biology on Genomic DNA: minimizing PCR bias. Electronic Supplementary Information (ESI) for Chemical Communications Electronic Supplementary Material (ESI) for ChemComm. This journal is The Royal Society of Chemistry 2014 Chemical Biology on Genomic DA: minimizing PCR bias Gordon R. McInroy, Eun-Ang Raiber, & Shankar

More information

Supporting Information

Supporting Information Supporting Information Mixed DNA-functionalized Nanoparticle Probes for Surface Enhanced Raman Scattering-based Multiplex DNA Detection Zhiliang Zhang, a, b Yongqiang Wen,* a Ying Ma, a Jia Luo, a Lei

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

NEW DNA CYCLIC CODES OVER RINGS

NEW DNA CYCLIC CODES OVER RINGS NEW DNA CYCLIC CODES OVER RINGS NABIL BENNENNI, KENZA GUENDA AND SIHEM MESNAGER arxiv:1505.06263v1 [cs.it] 23 May 2015 Abstract. This paper is dealing with DNA cyclic codes which play an important role

More information

Metabolic evidence for biogeographic isolation of the extremophilic bacterium Salinibacter ruber.

Metabolic evidence for biogeographic isolation of the extremophilic bacterium Salinibacter ruber. Supplementary information: Metabolic evidence for biogeographic isolation of the extremophilic bacterium Salinibacter ruber. Ramon Rosselló-Mora 1, Marianna Lucio², Arantxa Peña 3, Jocelyn Brito-Echeverría

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

Table S1. DNA oligonucleo3des used for 3D pol mutagenesis. Fingers Domain Entry Channel. Fidelity

Table S1. DNA oligonucleo3des used for 3D pol mutagenesis. Fingers Domain Entry Channel. Fidelity Table S1. DNA oligonucleo3des used for 3D pol mutagenesis. Fingers Domain Entry Channel Fidelity Charged Residues Interac9ng with Template and Product RNAs Thumb Domain 3D pol Mutations Parental codon

More information

supplementary information

supplementary information DOI: 10.1038/ncb1825 Figure S1 Venus::UNC-6 expression prior to and during AC invasion. (a-c) Nomarski images overlayed with Venus::UNC-6 ( SP) expression shown in yellow (left), and Venus::UNC-6 ( SP)

More information

160, and 220 bases, respectively, shorter than pbr322/hag93. (data not shown). The DNA sequence of approximately 100 bases of each

160, and 220 bases, respectively, shorter than pbr322/hag93. (data not shown). The DNA sequence of approximately 100 bases of each JOURNAL OF BACTEROLOGY, JUlY 1988, p. 3305-3309 0021-9193/88/073305-05$02.00/0 Copyright 1988, American Society for Microbiology Vol. 170, No. 7 Construction of a Minimum-Size Functional Flagellin of Escherichia

More information

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

Electronic Supporting Information for

Electronic Supporting Information for Electronic Supplementary Material (ESI) for Chemical Science. This journal is The Royal Society of Chemistry 2018 Electronic Supporting Information for A DNA-conjugated small molecule catalyst enzyme mimic

More information

A functional homologue of goosecoid in Drosophila

A functional homologue of goosecoid in Drosophila Development 122, 1641-1650 (1996) Printed in Great Britain The Company of Biologists Limited 1996 DEV1069 1641 A functional homologue of goosecoid in Drosophila Anne Goriely 1, Michael Stella 1, Catherine

More information

Diversity of Chlamydia trachomatis Major Outer Membrane

Diversity of Chlamydia trachomatis Major Outer Membrane JOURNAL OF ACTERIOLOGY, Sept. 1987, p. 3879-3885 Vol. 169, No. 9 0021-9193/87/093879-07$02.00/0 Copyright 1987, American Society for Microbiology Diversity of Chlamydia trachomatis Major Outer Membrane

More information

HADAMARD MATRICES AND QUINT MATRICES IN MATRIX PRESENTATIONS OF MOLECULAR GENETIC SYSTEMS

HADAMARD MATRICES AND QUINT MATRICES IN MATRIX PRESENTATIONS OF MOLECULAR GENETIC SYSTEMS Symmetry: Culture and Science Vol. 16, No. 3, 247-266, 2005 HADAMARD MATRICES AND QUINT MATRICES IN MATRIX PRESENTATIONS OF MOLECULAR GENETIC SYSTEMS Sergey V. Petoukhov Address: Department of Biomechanics,

More information

Gene manipulation in Bacillus thuringiensis : Biopesticide Development

Gene manipulation in Bacillus thuringiensis : Biopesticide Development Gene manipulation in Bacillus thuringiensis : Biopesticide Development For safer Environment, Agriculture and Food! Samir JAOUA Univ. of Qatar, CAS, Dept of Biol. & Environ. Sc / Centre of Biotechno. Sfax,

More information

Dissertation. presented by: Hung-wei Sung Diploma: Master of Life Science born intaipei, Taiwan Oral examination:

Dissertation. presented by: Hung-wei Sung Diploma: Master of Life Science born intaipei, Taiwan Oral examination: Dissertation submitted to the Combined Faculties for the Natural Sciences and for Mathematics of the Ruperto-Carola University of Heidelberg, Germany for the degree of Doctor of Natural Sciences presented

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

Appendix B Protein-Signaling Networks from Single-cell Fluctuations and Information Theory Profiling B.1. Introduction

Appendix B Protein-Signaling Networks from Single-cell Fluctuations and Information Theory Profiling B.1. Introduction 92 Appendix B Protein-Signaling Networks from Single-cell Fluctuations and Information Theory Profiling B.1. Introduction Protein-signaling pathways play important roles in tissue processes ranging from

More information

Finding Regulatory Motifs in DNA Sequences

Finding Regulatory Motifs in DNA Sequences Finding Regulatory Motifs in DNA Sequences Outline Implanting Patterns in Random Text Gene Regulation Regulatory Motifs The Gold Bug Problem The Motif Finding Problem Brute Force Motif Finding The Median

More information

MicroGenomics. Universal replication biases in bacteria

MicroGenomics. Universal replication biases in bacteria Molecular Microbiology (1999) 32(1), 11±16 MicroGenomics Universal replication biases in bacteria Eduardo P. C. Rocha, 1,2 Antoine Danchin 2 and Alain Viari 1,3 * 1 Atelier de BioInformatique, UniversiteÂ

More information

Supporting Material. Protein Signaling Networks from Single Cell Fluctuations and Information Theory Profiling

Supporting Material. Protein Signaling Networks from Single Cell Fluctuations and Information Theory Profiling Supporting Material Protein Signaling Networks from Single Cell Fluctuations and Information Theory Profiling Young Shik Shin, Δ F. Remacle, ǁ Δ Rong Fan, Kiwook Hwang, Wei Wei, Habib Ahmad, R. D. Levine

More information

Supplementary Materials for

Supplementary Materials for www.sciencetranslationalmedicine.org/cgi/content/full/4/148/148ra116/dc1 Supplementary Materials for Tracking a Hospital Outbreak of Carbapenem-Resistant Klebsiella pneumoniae with Whole-Genome Sequencing

More information