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GC skew

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deviation from C corresponds to leading strand. Furthermore, the site where the deviation sign switches corresponds to the origin or terminal. The x-axis represents the chromosome locations plotted 5′ to 3′ and y-axis represents the deviation value. The major weakness of this method is its window-size dependent property. Therefore, choosing an adequate window size greatly affects the outcome of the plot. Other techniques should be combined with deviation in order to identify and locate the origin of the DNA replication with greater accuracy.
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respectively; therefore, it is expected to see a switch in GC skew sign just at the point of DNA replication origin and terminus. GC skew can also be used to study the strand biases and mechanism related to them by calculating the excess of one base over its complementary base in different milieus. Method such as GC skew, CGC skew, and Z curve are tools that can provide opportunity to better investigate the mechanism of DNA replication in different organisms.
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Therefore, positive GC skew represents richness of G over C and the negative GC skew represents richness of C over G. As a result, one expects to see a positive GC skew and negative AT skew in the leading strand, and a negative GC skew and a positive AT skew in the lagging strand. GC or AT skew changes sign at the boundaries of the two
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between the leading and lagging strands. Examination of the prokaryotic genome shows a preference in third codon position for G over C and T over A. This discrimination creates an asymmetric nucleotide composition, if the coding strand is unequally distributed between the leading and lagging strands,
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in one strand as compared to the other. Furthermore, the time used for replication between the two strands varies and may lead to asymmetric mutational pressure between leading and lagging strand. In addition to mutations during DNA replication, transcriptional mutations can create strand specific
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where A, T, G, and C represent the frequency of occurrence of the equivalent base in a particular sequence in a defined length. A window sliding strategy is used to calculate deviation from C through the genome. In these plots, a positive deviation from C corresponds to lagging strand and negative
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In some bacterial genomes, there is an enrichment of guanine over cytosine and thymine over adenine on the leading strand and vice versa for the lagging strand. The nucleotide composition skew spectra ranges from −1, which corresponds to G = 0 or A = 0, to +1, which corresponds to T= 0 or C = 0.
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on each strand have equal amounts of a given base and its complement. In other words, in each DNA strand the frequency of the occurrence of T is equal to A and the frequency of the occurrence of G is equal to C because the substitution rate is presumably equal. This phenomenon is referred to as
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The second approach is referred to as cumulative GC skew (CGC skew). This method still uses the sliding window strategy but it takes advantage of the sum of the adjacent windows from an arbitrary start. In this scheme, the entire genome is usually plotted 5' to 3' using an arbitrary start and
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between the leading strand and lagging strand. DNA replication is semi-conservative and an asymmetric process itself. This asymmetry is due to the formation of the replication fork and its division into nascent leading and lagging strands. The leading strand is synthesized continuously and in
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The GC skew is proven to be useful as the indicator of the DNA leading strand, lagging strand, replication origin, and replication terminal. Most bacteria and archaea contain only one DNA replication origin. The GC skew is positive and negative in the leading strand and in the lagging strand
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There is lack of consensus in scientific community with regard to the mechanism underlying the bias in nucleotide composition within each DNA strand. There are two major schools of thought that explain the mechanism behind the strand specific nucleotide composition in bacteria.
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of cytosine and ultimately mutation of cytosine to thymine in one DNA strand can increase the relative number of guanine and thymine to cytosine and adenine. In most bacteria, the majority of the genes are encoded in the leading strand. For instance, the leading strand in
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Any deviation from parity rule 2 will result in asymmetric base composition that discriminates the leading strand–i.e., the DNA strand that is replicated in the forward direction–from the lagging strand. This asymmetry is referred to as GC or AT skew.
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Marin, A. & Xia, X. GC skew in protein-coding genes between the leading and lagging strands in bacterial genomes: new substitution models incorporating strand bias. Journal of theoretical biology 253, 508-513, doi:10.1016/j.jtbi.2008.04.004
807:, have been shown to be located mostly on the leading strand in bacteria. Therefore, a bias in the third-position codon choice of G over C can lead to GC skew. Additionally, some signal sequences are rich in guanine and thymine, such as 786:
encodes 75% of the genes. In addition, an excess of deamination and conversion of cytosine to thymine in the coding strand compared to the non-coding strand has been reported. One possible explanation is that the non-transcribed strand
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work in 1950 demonstrated that, in DNA, the bases guanine and cytosine were found in equal abundance, and the bases adenine and thymine were found in equal abundance. However, there was no equality between the amount of one
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Tillier, E. R. & Collins, R. A. The contributions of replication orientation, gene direction, and signal sequences to base-composition asymmetries in bacterial genomes. Journal of molecular evolution 50, 249-257
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Both mutational and selective pressure can independently introduce asymmetry in DNA strands. However, the combination and cumulative effect of both mechanisms is the most plausible explanation for GC and AT skew.
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A natural result of parity rule 1, at the state of equilibrium, in which there is no mutation and/or selection biases in any of the two DNA strands, is that when there is an equal substitution rate, the
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Necsulea, A. & Lobry, J. R. A new method for assessing the effect of replication on DNA base composition asymmetry. Molecular biology and evolution 24, 2169-2179, doi:10.1093/molbev/msm148 (2007).
795:). Another explanation is that the deamination repair activity during transcription does not occur on the coding strand. Only the transcribed strand benefits from these deamination repair events. 1107:
Eppinger, M., Baar, C., Raddatz, G., Huson, D. H. & Schuster, S. C. Comparative analysis of four Campylobacterales. Nature Reviews. Microbiology 2, 872-885, doi:10.1038/nrmicro1024 (2004).
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and asymmetric composition of the strands. A combination of these methods should be used for prediction of replication origin and terminal, in order to compensate for their weakness.
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Charneski C.A., Honti F., Bryant J.M., Hurst L.D., Feil E.J. Atypical AT Skew in Firmicute Genomes Results from Selection and Not from Mutation. PLoS Genetics 7(9):e1002283 (2011).
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Zhang, R. & Zhang, C. T. Multiple replication origins of the archaeon Halobacterium species NRC-1. Biochemical and biophysical research communications 302, 728-734 (2003).
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With the flipped definition of GC skew, the maximum value of the cumulative skew corresponds to the terminal, and the minimum value corresponds to the origin of replication.
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The first approach is GC and AT asymmetry. Jean R. Lobry was the first to report, in 1996, the presence of compositional asymmetry in the genomes of three bacteria:
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with respect to the base at the beginning of the sequence is investigated. The Z curve uses a three-dimensional representation with the following parameters:
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Mewes, H. W. et al. MIPS: analysis and annotation of proteins from whole genomes in 2005. Nucleic Acids Res 34, D169-172, doi:10.1093/nar/gkj148 (2006).
842:"Understanding the Adaptation of Halobacterium Species NRC-1 to Its Extreme Environment through Computational Analysis of Its Genome Sequence" 791:) is single-stranded during the transcription process; therefore, it is more vulnerable to deamination compared to the transcribed strand ( 1008:
Rocha, E. P. The replication-related organization of bacterial genomes. Microbiology 150, 1609-1627, doi:10.1099/mic.0.26974-0 (2004).
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Lobry, J. R. Asymmetric substitution patterns in the two DNA strands of bacteria. Molecular biology and evolution 13, 660-665 (1996).
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Chargaff, E. Chemical specificity of nucleic acids and mechanism of their enzymatic degradation. Experientia 6, 201-209 (1950).
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In contrast to Lobry's earlier paper, recent implementations of GC skew flips the original definition, redefining it to be:
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Lobry, J. R. & Sueoka, N. Asymmetric directional mutation pressures in bacteria. Genome biology 3, RESEARCH0058 (2002).
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arbitrary strand. In the cumulative GC skew plot, the peaks corresponds to the switch points (terminus or origin).
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juxtapose to the leading strand; the lagging strand is replicated through short fragments of polynucleotide (
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Grigoriev, A. Analyzing genomes with cumulative skew diagrams. Nucleic Acids Research 26, 2286-2290 (1998).
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Kennedy, Sean P.; Ng, Wailap Victor; Salzberg, Steven L.; Hood, Leroy; DasSarma, Shiladitya (2001-10-01).
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The second school of thought describes the mechanism of GC and AT skew as resulting from a difference in
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There are three major approaches to calculate and graphically demonstrate GC skew and its properties.
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Richness of G over T in the leading strand, resulting in a GC skew sign at the origin and terminus.
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Indication of the origin and terminus of DNA replication on a GC skew and cumulative GC skew plot.
799: 740: 65: 57:. GC skew is also a statistical method for measuring strand-specific guanine overrepresentation. 230:. The original formulas at the time were not called skew, but rather deviation from = or = : 763:. Due to the asymmetric nature of the replication process, an unequal mutational frequency and 19: 1049: 1041: 879: 861: 804: 792: 778: 756: 220: 193: 167: 1031: 869: 853: 671: 644: 617: 1036: 1019: 188: 722: 702: 175:. Hence, the second parity rule only exists when there is no mutation or substitution. 142: 117: 113: 874: 841: 1147: 788: 696: 16:
Over- or under-abundance of guanine and cytosine in a particular region of DNA or RNA
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as in the case for bacteria. In addition, the highly transcribed genes, such as
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efficiency during the replication process can introduce more
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versus the other. Chargaff's finding is referred to as
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Cumulative CG and AT skew for 49 bacterial chromosomes
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are over- or under-abundant in a particular region of
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and with nucleotides randomly distributed within the
695:shows the relationship between the weak and strong 731: 711: 687: 660: 633: 606: 551: 459: 367: 128:and the corresponding statistics were defined as: 755:The first one describes a bias and an asymmetric 641:represents the excess of purine over pyrimidine, 552:{\displaystyle z_{n}=(A_{n}+T_{n})-(C_{n}+G_{n})} 460:{\displaystyle y_{n}=(A_{n}+C_{n})-(G_{n}+T_{n})} 368:{\displaystyle x_{n}=(A_{n}+G_{n})-(C_{n}+T_{n})} 8: 1129: 1127: 1125: 1123: 1085: 1083: 991: 989: 987: 985: 983: 953: 951: 1004: 1002: 981: 979: 977: 975: 973: 971: 969: 967: 965: 963: 949: 947: 945: 943: 941: 939: 937: 935: 933: 931: 921: 919: 909: 907: 905: 903: 901: 899: 897: 895: 893: 759:on each DNA strand during replication and 1035: 873: 724: 704: 679: 673: 652: 646: 625: 619: 566: 540: 527: 508: 495: 479: 473: 448: 435: 416: 403: 387: 381: 356: 343: 324: 311: 295: 289: 832: 668:denotes excess of keto over amino, and 236:deviation from = as (C − G)/(C + G); 233:deviation from = as (A − T)/(A + T); 1037:10.1093/oxfordjournals.molbev.a025626 7: 92:of a DNA molecule. However, in most 1067:"Explanation of Lobry 1996 article" 60:In equilibrium conditions (without 14: 138:Asymmetric nucleotide composition 739:components can alone detect the 1024:Molecular Biology and Evolution 546: 520: 514: 488: 454: 428: 422: 396: 362: 336: 330: 304: 1: 772:nucleotide composition skew. 200:Calculation and GC skew plots 607:{\displaystyle n=0,1,2,...N} 263:GC skew = (G − C)/(G + C). 196:) in a 5' to 3' direction. 131:GC skew = (G - C)/(G + C) 1180: 274:The final approach is the 134:AT skew = (A − T)/(A + T) 1018:Lobry, J. R. (May 1996). 168:complementary nucleotides 109:Sulfolobus solfataricus 733: 713: 689: 662: 635: 608: 553: 461: 369: 253: 227:Haemophilus influenzae 32: 24: 734: 714: 690: 688:{\displaystyle z_{n}} 663: 661:{\displaystyle y_{n}} 636: 634:{\displaystyle x_{n}} 609: 554: 462: 370: 251: 30: 22: 723: 703: 672: 645: 618: 565: 472: 380: 288: 280:cumulative frequency 757:mutational pressure 805:ribosomal proteins 800:selective pressure 741:replication origin 729: 709: 685: 658: 631: 604: 549: 457: 365: 254: 160:double helix model 66:selective pressure 33: 25: 858:10.1101/gr.190201 852:(10): 1641–1650. 793:non-coding strand 732:{\displaystyle y} 712:{\displaystyle x} 221:Bacillus subtilis 194:Okazaki fragments 1171: 1134: 1131: 1118: 1114: 1108: 1105: 1099: 1096: 1090: 1087: 1078: 1075: 1069: 1064: 1058: 1057: 1039: 1015: 1009: 1006: 997: 993: 958: 955: 926: 923: 914: 911: 888: 887: 877: 837: 738: 736: 735: 730: 718: 716: 715: 710: 694: 692: 691: 686: 684: 683: 667: 665: 664: 659: 657: 656: 640: 638: 637: 632: 630: 629: 613: 611: 610: 605: 558: 556: 555: 550: 545: 544: 532: 531: 513: 512: 500: 499: 484: 483: 466: 464: 463: 458: 453: 452: 440: 439: 421: 420: 408: 407: 392: 391: 374: 372: 371: 366: 361: 360: 348: 347: 329: 328: 316: 315: 300: 299: 143:Erwin Chargaff's 1179: 1178: 1174: 1173: 1172: 1170: 1169: 1168: 1144: 1143: 1137: 1132: 1121: 1115: 1111: 1106: 1102: 1097: 1093: 1088: 1081: 1076: 1072: 1065: 1061: 1017: 1016: 1012: 1007: 1000: 994: 961: 956: 929: 924: 917: 912: 891: 846:Genome Research 839: 838: 834: 830: 821: 749: 721: 720: 701: 700: 675: 670: 669: 648: 643: 642: 621: 616: 615: 563: 562: 536: 523: 504: 491: 475: 470: 469: 444: 431: 412: 399: 383: 378: 377: 352: 339: 320: 307: 291: 286: 285: 272: 246: 210: 202: 189:DNA replication 152:Chargaff's rule 140: 17: 12: 11: 5: 1177: 1175: 1167: 1166: 1161: 1156: 1154:Bioinformatics 1146: 1145: 1142: 1141: 1136: 1135: 1119: 1109: 1100: 1091: 1079: 1070: 1059: 1030:(5): 660–665. 1010: 998: 959: 927: 915: 889: 831: 829: 826: 820: 817: 748: 745: 728: 708: 697:hydrogen bonds 682: 678: 655: 651: 628: 624: 603: 600: 597: 594: 591: 588: 585: 582: 579: 576: 573: 570: 548: 543: 539: 535: 530: 526: 522: 519: 516: 511: 507: 503: 498: 494: 490: 487: 482: 478: 456: 451: 447: 443: 438: 434: 430: 427: 424: 419: 415: 411: 406: 402: 398: 395: 390: 386: 364: 359: 355: 351: 346: 342: 338: 335: 332: 327: 323: 319: 314: 310: 306: 303: 298: 294: 271: 268: 245: 242: 209: 206: 201: 198: 139: 136: 118:lagging strand 114:leading strand 90:single strands 15: 13: 10: 9: 6: 4: 3: 2: 1176: 1165: 1162: 1160: 1157: 1155: 1152: 1151: 1149: 1139: 1138: 1130: 1128: 1126: 1124: 1120: 1113: 1110: 1104: 1101: 1095: 1092: 1086: 1084: 1080: 1074: 1071: 1068: 1063: 1060: 1055: 1051: 1047: 1043: 1038: 1033: 1029: 1025: 1021: 1014: 1011: 1005: 1003: 999: 992: 990: 988: 986: 984: 982: 980: 978: 976: 974: 972: 970: 968: 966: 964: 960: 954: 952: 950: 948: 946: 944: 942: 940: 938: 936: 934: 932: 928: 922: 920: 916: 910: 908: 906: 904: 902: 900: 898: 896: 894: 890: 885: 881: 876: 871: 867: 863: 859: 855: 851: 847: 843: 836: 833: 827: 825: 818: 816: 812: 810: 809:chi sequences 806: 801: 796: 794: 790: 789:coding strand 785: 784: 781: 775: 770: 766: 762: 761:transcription 758: 753: 746: 744: 742: 726: 706: 698: 680: 676: 653: 649: 626: 622: 601: 598: 595: 592: 589: 586: 583: 580: 577: 574: 571: 568: 559: 541: 537: 533: 528: 524: 517: 509: 505: 501: 496: 492: 485: 480: 476: 467: 449: 445: 441: 436: 432: 425: 417: 413: 409: 404: 400: 393: 388: 384: 375: 357: 353: 349: 344: 340: 333: 325: 321: 317: 312: 308: 301: 296: 292: 283: 281: 277: 269: 267: 264: 261: 258: 250: 243: 241: 237: 234: 231: 229: 228: 223: 222: 217: 216: 207: 205: 199: 197: 195: 190: 186: 180: 176: 174: 173:parity rule 2 169: 163: 161: 157: 156:parity rule 2 153: 149: 144: 137: 135: 132: 129: 127: 123: 119: 115: 111: 110: 105: 101: 100: 95: 91: 87: 83: 79: 75: 71: 67: 63: 58: 56: 52: 48: 44: 41: 37: 29: 21: 1112: 1103: 1094: 1073: 1062: 1027: 1023: 1013: 849: 845: 835: 822: 813: 797: 782: 779: 754: 750: 560: 468: 376: 284: 273: 265: 262: 259: 255: 238: 235: 232: 225: 219: 213: 211: 208:GC asymmetry 203: 181: 177: 172: 164: 155: 141: 133: 130: 125: 121: 107: 97: 59: 38:is when the 35: 34: 1164:Nucleotides 774:Deamination 185:replichores 102:) and some 40:nucleotides 1148:Categories 828:References 765:DNA repair 88:) on both 62:mutational 1046:0737-4038 866:1088-9051 769:mutations 747:Mechanism 518:− 426:− 334:− 884:11591641 783:subtilis 780:Bacillus 244:CGC skew 116:and the 94:bacteria 86:cytosine 47:cytosine 1117:(2008). 1054:8676740 996:(2000). 276:Z curve 270:Z curve 215:E. coli 126:AT skew 104:archaea 99:E. coli 82:thymine 78:guanine 74:adenine 43:guanine 36:GC skew 1052:  1044:  882:  875:311145 872:  864:  561:Where 224:, and 106:(e.g. 96:(e.g. 84:, and 70:genome 1050:PMID 1042:ISSN 880:PMID 862:ISSN 819:Uses 719:and 148:pair 124:and 45:and 1159:DNA 1032:doi 870:PMC 854:doi 154:or 64:or 55:RNA 53:or 51:DNA 1150:: 1122:^ 1082:^ 1048:. 1040:. 1028:13 1026:. 1022:. 1001:^ 962:^ 930:^ 918:^ 892:^ 878:. 868:. 860:. 850:11 848:. 844:. 699:. 614:, 218:, 162:. 122:GC 80:, 76:, 1056:. 1034:: 886:. 856:: 787:( 727:y 707:x 681:n 677:z 654:n 650:y 627:n 623:x 602:N 599:. 596:. 593:. 590:, 587:2 584:, 581:1 578:, 575:0 572:= 569:n 547:) 542:n 538:G 534:+ 529:n 525:C 521:( 515:) 510:n 506:T 502:+ 497:n 493:A 489:( 486:= 481:n 477:z 455:) 450:n 446:T 442:+ 437:n 433:G 429:( 423:) 418:n 414:C 410:+ 405:n 401:A 397:( 394:= 389:n 385:y 363:) 358:n 354:T 350:+ 345:n 341:C 337:( 331:) 326:n 322:G 318:+ 313:n 309:A 305:( 302:= 297:n 293:x

Index



nucleotides
guanine
cytosine
DNA
RNA
mutational
selective pressure
genome
adenine
guanine
thymine
cytosine
single strands
bacteria
E. coli
archaea
Sulfolobus solfataricus
leading strand
lagging strand
Erwin Chargaff's
pair
Chargaff's rule
double helix model
complementary nucleotides
replichores
DNA replication
Okazaki fragments
E. coli

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