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Microbial phylogenetics

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266:) are commonly utilized to compare multiple traits across organisms. Within the scope of microbiome studies, it is not common for the use of PCMs, however, recent studies have been successful in identifying genes associated with colonization of human gut. This challenge was addressed through measuring the statistical association between a species that harbors the gene and the probability the species is present in the gut microbiome. The analyses showcase the combination of shotgun metagenomics paired with phylogenetically aware models. 287:
carrying biological information. Recent methods such as PhILR and phylofactorization address the challenges of phylogenetic variables analysis. The PhILR transform combines statistical and phylogenetic models to overcome compositional data challenges. Incorporating both microbial evolutionary models with the isometric log-ratio transform creates the PhILR transform. Phylofactorization is a dimensionality-reducing tool used to identify edges in the phylogeny from which putative functional ecological traits may have arisen.
1824: 2391: 278:(Phylogenetic Investigation of Communities by Reconstructing of Unobserved States) in microbiome studies. PICRUSt is a computational approach capable of prediction functional composition of a metagenome with marker data and a database of reference genomes. To predict which gene families are present, PICRUSt uses extended ancestral-state reconstruction algorithm and then combines the gene families to estimate composite metagenome. 221:
some evolutionary microbiologists suggested abandoning this classical view in favor of a representation of genealogies more closely resembling a web, also known as network. However, there are some issues with this network representation, such as the inability to precisely establish the donor organism
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Phylogenetic variables are used to describe variables that are constructed using features in the phylogeny to summarize and contrast data of species in the phylogenetic tree. Microbiome datasets can be simplifies using phylogenetic variables by reducing the dimensions of the data to a few variables
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Inferences in phylogenetics requires the assumption of common ancestry or homology but when this assumption is violated the signal can be disrupted by noise. It is possible for microbial traits to be unrelated due to horizontal gene transfer causing the taxonomic composition to reveal little about
94:(16rRNA) oligonucleotides. Matching oligonucleotides in different bacteria could be compared to one another to determine how closely the organisms were related. In 1977, after collecting and comparing 16s rRNA fragments for almost 200 species of bacteria, 238:
are essential tools for organizing the diversity of life. Collecting gene sequences, aligning such sequences based on homologies and thus using models of mutation to infer evolutionary history are common methods to estimate microbial phylogenies.
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for a HGT event and the difficulty to determine the correct path across organisms when multiple HGT events happened. Therefore, there is not still a consensus between biologists on which representation is a better fit for the microbial world.
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Langille, Morgan G I; Zaneveld, Jesse; Caporaso, J Gregory; McDonald, Daniel; Knights, Dan; Reyes, Joshua A; Clemente, Jose C; Burkepile, Deron E; Vega Thurber, Rebecca L; Knight, Rob; Beiko, Robert G; Huttenhower, Curtis (2013).
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Phylogenetic inferences are determined based on the genes chosen, for example, 16S rRNA gene is commonly selected to investigate inferences in Bacteria and Archaea, and microbial eukaryotes most commonly use the 18S RNA gene.
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In the late 1990s sequencing of genomes from various microbial organisms started and by 2005, 260 complete genomes had been sequenced resulting in the classification of 33 eucaryotes, 206 eubacteria, and 21 archeons.
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was facilitated by the development of the means to clone DNA, making possible to create many copies of sequences from minute samples. Of incredible impact for the microbial phylogenetics was the invention of the
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genes obtained from DNA isolated directly from the environment. This technique made possible to fully appreciate that bacteria, not only to have the greatest diversity but to constitute the greatest
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One of the intrinsic problems of studying microbial organisms was the dependence of the studies from pure culture in a laboratory. Biologists tried to overcome this limitation by sequencing
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differed greatly from the ones based on the rRNA. These gene histories were so different between them that the only hypothesis that could explain these divergences was a major influence of
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Washburne, Alex D.; Silverman, Justin D.; Leff, Jonathan W.; Bennett, Dominic J.; Darcy, John L.; Mukherjee, Sayan; Fierer, Noah; David, Lawrence A. (2017-02-09).
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This method is commonly used for estimation of genetic and metabolic profiles of extant communities using a set of reference genomes, commonly performed with
143:(Woese himself proposed this name to replace the old nomination of Archaebacteria), and Eukarya, arguably one of the key passage in the history of taxonomy. 2032: 2371: 2361: 1748: 2147: 2122: 1274:
Washburne, Alex D.; Morton, James T.; Sanders, Jon; McDonald, Daniel; Zhu, Qiyun; Oliverio, Angela M.; Knight, Rob (2018-05-24).
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Dietrich, M. (1998). "Paradox and persuasion: Negotiating the place of molecular evolution within evolutionary biology".
213:, every phylogeny for every organism has been represented in the form of a tree. Nonetheless, due to the great role that 2356: 960: 719:
Mullis, K.F.; et al. (1986). "Specific enzymatic amplification of DNA in vitro: The polymerase chain reaction".
249:(SSU rRNA) have revolutionized microbial classification since the 1970s and has since become the most sequenced gene 197:
Studies aimed at understanding the widespread of HGT suggested that the ease with which genes are transferred among
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Ochman, H.; Lawrence, J.G.; Groisman, E.A. (2000). "Lateral gene transfer and the nature of bacterial innovation".
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have to be carefully studied before being used as a measure of genealogical relationship for microbial organisms.
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Pace, N.R.; et al. (1985). "Analyzing natural microbial populations by rRNA sequences".
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from a completely unrelated organism. HGT explains why similarities and differences in some
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Martiny, Jennifer B. H.; Jones, Stuart E.; Lennon, Jay T.; Martiny, Adam C. (2015-11-06).
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Silverman, Justin D; Washburne, Alex D; Mukherjee, Sayan; David, Lawrence A (2017-02-15).
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Most microbial taxa have never been cultivated or experimentally characterized. Utilizing
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In the 1980s microbial phylogenetics went into its golden age, as the techniques for
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Dietrich, M. (1994). "The origins of the neutral theory of molecular evolution".
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In the early 2000s, scientists started creating phylogenetic trees based not on
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instead of proteins. More specifically, he decided to compare the small subunit
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Doolittle, W.F. (1999). "Phylogenetic classification and the universal tree".
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Pace, N (1997). "A molecular view of microbial diversity and the biosphere".
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Bradley, Patrick H.; Nayfach, Stephen; Pollard, Katherine S. (2018-08-09).
1377: 1307: 1253: 1204: 1157: 1114: 1030: 987: 520: 477: 442: 170:, but on other genes with different function (for example the gene for the 1424: 945: 867: 832: 740: 686: 2376: 2137: 1993: 705: 646: 587: 60: 1581: 131:(PCR). All these new techniques led to the formal proposal of the three 2228: 2107: 2015: 2010: 1798: 1640: 1235: 544:"Phylogenetic structure of the procaryote domain: The primary kingdoms" 512: 95: 79: 72: 64: 59:
emerged as a field of study in the 1960s, scientists started to create
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One of the most important figures in the early stage of this field is
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Andam, Cheryl P.; Williams, David; Gogarten, J. Peter (2010-06-08).
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made impossible to apply β€˜the biological species concept’ for them.
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Sapp, J. (2007). "The structure of microbial evolutionary theory".
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Kunin, V.; Goldovsky, L.; Darzentas, N.; Ouzounis, C. A. (2005).
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were not part of Bacteria but completely independent organisms.
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of genes instead of using comparative anatomy and physiology.
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is the study of the manner in which various groups of
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Cold Spring Harbor Symposia on Quantitative Biology
257: 26:are genetically related. This helps to trace their 603:"DNA sequencing with chain-terminating inhibitors" 30:. To study these relationships biologists rely on 1048:. New York: Cold Spring Harbor Laboratory Press. 1046:Lateral DNA transfer: mechanisms and consequences 269: 118:improved greatly. For example, comparison of the 2407: 959:Delusc, F.; Brinkmann, H.; Philippe, H. (2005). 282:Analysis of phylogenetic variables and distances 1075:Proceedings of the National Academy of Sciences 906:Proceedings of the National Academy of Sciences 793:Proceedings of the National Academy of Sciences 666:Proceedings of the National Academy of Sciences 607:Proceedings of the National Academy of Sciences 601:Sanger, F.; Nicklen, S.; Coulson, A.R. (1977). 548:Proceedings of the National Academy of Sciences 204: 1742: 1185:Current Opinion in Genetics & Development 761: 1391:Hillis, David M.; Dixon, Michael T. 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(1989). 420: 416: 414: 353: 98:and his team in 1977 concluded that 82:, who in his researches, focused on 900:Whitman, W. B; et al. (1998). 382: 182:(HGT), a mechanism which permits a 13: 2357:Lines on the Antiquity of Microbes 1756: 1322: 1260: 902:"Procaryotes: The unseen majority" 262:Phylogenetic comparative methods ( 14: 2437: 787:Woese, C.R.; et al. (1990). 662:"A new method for sequencing DNA" 501:Journal of the History of Biology 458:Journal of the History of Biology 411: 360:Oren, A (2010). Papke, RT (ed.). 2390: 2389: 2184:Microbial symbiosis and immunity 1822: 258:Phylogenetic comparative methods 1674: 1615: 1556: 1498: 1439: 1397:The Quarterly Review of Biology 1384: 1211: 1172: 1121: 1062: 1037: 1002: 952: 893: 874: 839: 780: 755: 542:Woese, C.R.; Fox, G.E. 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(2000). 513:10.1007/BF01058626 321:Bacterial taxonomy 61:genealogical trees 2403: 2402: 2174:Food microbiology 2067:Soil microbiology 2006:Microbial synergy 1974:Microbial ecology 1136:(6784): 299–304. 912:(12): 6578–6583. 854:(5313): 734–740. 799:(12): 4576–4579. 773:978-0-12-765560-4 613:(12): 5463–5467. 554:(11): 5088–5090. 404:978-1-904455-27-1 375:978-1-904455-67-7 174:). The resulting 2433: 2393: 2392: 2194:Human microbiome 2118:Coral microbiome 2052:Plant microbiome 1826: 1751: 1744: 1737: 1728: 1727: 1721: 1720: 1702: 1678: 1672: 1671: 1661: 1643: 1619: 1613: 1612: 1602: 1584: 1560: 1554: 1553: 1543: 1524:10.1038/nbt.2676 1502: 1496: 1495: 1485: 1467: 1443: 1437: 1436: 1388: 1382: 1381: 1371: 1353: 1329: 1320: 1319: 1271: 1258: 1257: 1247: 1215: 1209: 1208: 1176: 1170: 1169: 1150:10.1038/35012500 1125: 1119: 1118: 1108: 1090: 1066: 1060: 1059: 1041: 1035: 1034: 1006: 1000: 999: 965: 956: 950: 949: 939: 929: 897: 891: 890: 878: 872: 871: 843: 837: 836: 826: 816: 784: 778: 777: 759: 753: 752: 716: 710: 709: 699: 689: 657: 651: 650: 640: 630: 598: 592: 591: 581: 571: 539: 533: 532: 496: 490: 489: 453: 447: 446: 418: 409: 408: 386: 380: 379: 357: 2441: 2440: 2436: 2435: 2434: 2432: 2431: 2430: 2406: 2405: 2404: 2399: 2381: 2318: 2272: 2152: 2103:Marine protists 2076: 2057:Root microbiome 2040: 1949:Biological pump 1930: 1880: 1827: 1818: 1760: 1755: 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711: 672:(2): 560–564. 652: 593: 534: 491: 448: 429:(4): 780–795. 410: 403: 381: 374: 351: 350: 348: 345: 344: 343: 338: 333: 328: 323: 318: 313: 308: 301: 298: 292: 289: 283: 280: 271: 268: 259: 256: 227: 224: 206: 203: 163: 160: 107: 104: 100:Archaebacteria 52: 49: 47: 44: 24:microorganisms 16:Field of study 15: 9: 6: 4: 3: 2: 2438: 2427: 2424: 2422: 2419: 2417: 2416:Phylogenetics 2414: 2413: 2411: 2396: 2388: 2387: 2384: 2378: 2375: 2373: 2370: 2368: 2365: 2363: 2360: 2358: 2355: 2351: 2348: 2347: 2346: 2343: 2341: 2338: 2336: 2333: 2331: 2328: 2327: 2325: 2321: 2315: 2312: 2310: 2307: 2305: 2302: 2300: 2297: 2295: 2292: 2290: 2287: 2285: 2282: 2281: 2279: 2275: 2269: 2266: 2264: 2261: 2259: 2256: 2252: 2249: 2247: 2244: 2240: 2237: 2236: 2235: 2232: 2230: 2227: 2225: 2222: 2220: 2217: 2215: 2212: 2210: 2207: 2205: 2202: 2200: 2197: 2196: 2195: 2192: 2190: 2187: 2185: 2182: 2180: 2179:Microbial oil 2177: 2175: 2172: 2170: 2167: 2165: 2162: 2161: 2159: 2157:Human related 2155: 2149: 2146: 2144: 2143:Picoeukaryote 2141: 2139: 2136: 2134: 2131: 2129: 2126: 2124: 2121: 2119: 2116: 2114: 2111: 2109: 2106: 2104: 2101: 2099: 2096: 2094: 2091: 2089: 2086: 2085: 2083: 2079: 2073: 2070: 2068: 2065: 2063: 2060: 2058: 2055: 2053: 2050: 2049: 2047: 2043: 2037: 2036: 2031: 2029: 2026: 2022: 2019: 2017: 2014: 2013: 2012: 2009: 2007: 2004: 2002: 2001:Microbial mat 1999: 1995: 1992: 1990: 1987: 1986: 1985: 1982: 1980: 1977: 1975: 1972: 1970: 1967: 1965: 1962: 1960: 1957: 1955: 1952: 1950: 1947: 1945: 1942: 1941: 1939: 1937: 1933: 1927: 1924: 1920: 1917: 1916: 1915: 1912: 1908: 1905: 1903: 1900: 1898: 1895: 1894: 1893: 1890: 1889: 1887: 1883: 1877: 1874: 1872: 1869: 1867: 1864: 1862: 1859: 1857: 1854: 1852: 1849: 1847: 1844: 1842: 1839: 1838: 1836: 1834: 1830: 1825: 1815: 1812: 1810: 1807: 1805: 1802: 1800: 1797: 1795: 1794:Nanobacterium 1792: 1790: 1787: 1785: 1784:Cyanobacteria 1782: 1780: 1777: 1775: 1772: 1771: 1769: 1767: 1763: 1759: 1752: 1747: 1745: 1740: 1738: 1733: 1732: 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907: 903: 896: 888: 884: 877: 869: 865: 861: 857: 853: 849: 842: 834: 830: 825: 820: 815: 810: 806: 802: 798: 794: 790: 783: 775: 769: 765: 758: 750: 746: 742: 738: 734: 730: 726: 722: 715: 707: 703: 698: 693: 688: 683: 679: 675: 671: 667: 663: 656: 648: 644: 639: 634: 629: 624: 620: 616: 612: 608: 604: 597: 589: 585: 580: 575: 570: 565: 561: 557: 553: 549: 545: 538: 530: 526: 522: 518: 514: 510: 506: 502: 495: 487: 483: 479: 475: 471: 467: 464:(1): 85–111. 463: 459: 452: 444: 440: 436: 432: 428: 424: 417: 415: 406: 400: 396: 392: 385: 377: 371: 367: 363: 356: 352: 342: 341:Phylogenetics 339: 337: 334: 332: 329: 327: 324: 322: 319: 317: 314: 312: 311:Phylogenomics 309: 307: 304: 303: 297: 288: 279: 277: 267: 265: 255: 252: 248: 247: 243: 242:Small subunit 237: 233: 223: 220: 216: 212: 202: 200: 195: 193: 189: 185: 181: 177: 173: 169: 159: 155: 153: 149: 144: 142: 138: 134: 130: 125: 121: 117: 113: 103: 101: 97: 93: 92:ribosomal RNA 89: 86:, looking at 85: 81: 76: 74: 70: 66: 62: 58: 57:phylogenetics 43: 41: 37: 33: 29: 25: 21: 2345:Microswimmer 2239:in pregnancy 2189:Nylon-eating 2072:Spermosphere 2034: 1860: 1833:Microbiology 1690: 1686: 1676: 1631: 1627: 1617: 1572: 1568: 1558: 1515: 1511: 1500: 1455: 1451: 1441: 1400: 1396: 1386: 1344:(10): R151. 1341: 1337: 1283: 1279: 1227: 1223: 1213: 1188: 1184: 1174: 1133: 1129: 1123: 1078: 1074: 1064: 1045: 1039: 1014: 1010: 1004: 971: 967: 954: 909: 905: 895: 886: 882: 876: 851: 847: 841: 796: 792: 782: 763: 757: 724: 720: 714: 669: 665: 655: 610: 606: 596: 551: 547: 537: 507:(1): 21–59. 504: 500: 494: 461: 457: 451: 426: 422: 390: 384: 361: 355: 294: 285: 273: 261: 250: 245: 241: 229: 208: 196: 165: 156: 145: 109: 77: 54: 19: 18: 2377:Siderophore 2138:Phycosphere 1994:viral shunt 727:: 263–273. 176:genealogies 106:1980s–1990s 73:nucleotides 65:amino acids 51:1960s–1970s 2410:Categories 2277:Techniques 2108:Microalgae 2016:microbiota 2011:Microbiome 1799:Prokaryote 1055:0879696036 347:References 291:Challenges 217:plays for 154:on earth. 112:sequencing 80:Carl Woese 55:Microbial 36:physiology 2350:biohybrid 2204:dysbiosis 2021:holobiont 1919:amoeboids 1902:twitching 1709:0036-8075 1650:2167-8359 1634:: e2969. 1591:2050-084X 1532:1087-0156 1474:1553-7358 1417:0033-5770 1360:1465-6906 1300:2058-5276 1097:0027-8424 236:phylogeny 184:bacterium 135:of life: 122:of whole 28:evolution 2395:Category 2314:Staining 2246:placenta 1876:Virology 1871:Mycology 1809:Protozoa 1779:Bacteria 1717:26542581 1693:(6261). 1668:28289558 1609:28198697 1550:23975157 1492:30091981 1433:32027097 1378:18851752 1316:43962376 1308:29795540 1254:15965028 1205:11088009 1166:85739173 1158:10830951 1115:20495090 1031:10381871 996:16379422 988:15861208 749:26180176 521:11639258 486:29935487 478:11619919 443:18053933 300:See also 232:taxonomy 219:microbes 199:bacteria 137:Bacteria 114:RNA and 84:Bacteria 69:proteins 1944:Biofilm 1936:Ecology 1907:gliding 1804:Protist 1774:Archaea 1687:Science 1659:5345826 1600:5328592 1541:3819121 1483:6084841 1425:1784710 1369:2760878 1245:1172039 1138:Bibcode 1106:2890805 1011:Science 946:9618454 914:Bibcode 889:: 4–12. 868:9115194 848:Science 833:2112744 801:Bibcode 741:3472723 674:Bibcode 615:Bibcode 556:Bibcode 276:PICRUSt 152:biomass 141:Archaea 133:domains 46:History 2251:uterus 2234:vagina 2199:asthma 2081:Marine 2045:Plants 1885:Motion 1766:Groups 1715:  1707:  1666:  1656:  1648:  1607:  1597:  1589:  1548:  1538:  1530:  1490:  1480:  1472:  1431:  1423:  1415:  1376:  1366:  1358:  1314:  1306:  1298:  1252:  1242:  1203:  1164:  1156:  1130:Nature 1113:  1103:  1095:  1052:  1029:  994:  986:  944:  934:  866:  831:  821:  770:  747:  739:  706:265521 704:  697:392330 694:  647:271968 645:  638:431765 635:  588:270744 586:  579:432104 576:  529:367102 527:  519:  484:  476:  441:  401:  372:  244:(SSU) 211:Darwin 209:Since 2367:Omics 2323:Other 2224:mouth 2209:fecal 1814:Virus 1789:Fungi 1628:PeerJ 1569:eLife 1429:S2CID 1312:S2CID 1162:S2CID 992:S2CID 964:(PDF) 937:33863 824:54159 745:S2CID 525:S2CID 482:S2CID 192:genes 188:genes 162:2000s 124:genes 96:Woese 34:, as 2229:skin 2219:lung 1713:PMID 1705:ISSN 1664:PMID 1646:ISSN 1605:PMID 1587:ISSN 1546:PMID 1528:ISSN 1488:PMID 1470:ISSN 1421:PMID 1413:ISSN 1374:PMID 1356:ISSN 1304:PMID 1296:ISSN 1250:PMID 1201:PMID 1154:PMID 1111:PMID 1093:ISSN 1050:ISBN 1027:PMID 984:PMID 942:PMID 864:PMID 829:PMID 768:ISBN 737:PMID 702:PMID 643:PMID 584:PMID 517:PMID 474:PMID 439:PMID 399:ISBN 370:ISBN 264:PCMs 246:rRNA 234:and 168:rRNA 148:rRNA 71:and 38:and 2214:gut 1695:doi 1691:350 1654:PMC 1636:doi 1595:PMC 1577:doi 1536:PMC 1520:doi 1478:PMC 1460:doi 1405:doi 1364:PMC 1346:doi 1288:doi 1240:PMC 1232:doi 1193:doi 1146:doi 1134:405 1101:PMC 1083:doi 1079:107 1019:doi 1015:284 976:doi 932:PMC 922:doi 856:doi 852:276 819:PMC 809:doi 729:doi 692:PMC 682:doi 633:PMC 623:doi 574:PMC 564:doi 509:doi 466:doi 431:doi 215:HGT 116:DNA 88:RNA 67:of 2412:: 1711:. 1703:. 1689:. 1685:. 1662:. 1652:. 1644:. 1630:. 1626:. 1603:. 1593:. 1585:. 1575:. 1571:. 1567:. 1544:. 1534:. 1526:. 1516:31 1514:. 1510:. 1486:. 1476:. 1468:. 1456:14 1454:. 1450:. 1427:. 1419:. 1411:. 1401:66 1399:. 1395:. 1372:. 1362:. 1354:. 1340:. 1336:. 1324:^ 1310:. 1302:. 1294:. 1282:. 1278:. 1262:^ 1248:. 1238:. 1228:15 1226:. 1222:. 1199:. 1189:10 1187:. 1183:. 1160:. 1152:. 1144:. 1132:. 1109:. 1099:. 1091:. 1077:. 1073:. 1025:. 1013:. 990:. 982:. 970:. 966:. 940:. 930:. 920:. 910:95 908:. 904:. 887:51 885:. 862:. 850:. 827:. 817:. 807:. 797:87 795:. 791:. 743:. 735:. 725:51 723:. 700:. 690:. 680:. 670:74 668:. 664:. 641:. 631:. 621:. 611:74 609:. 605:. 582:. 572:. 562:. 552:75 550:. 546:. 523:. 515:. 505:27 503:. 480:. 472:. 462:31 460:. 437:. 427:38 425:. 413:^ 397:. 393:. 368:. 364:. 139:, 1750:e 1743:t 1736:v 1719:. 1697:: 1670:. 1638:: 1632:5 1611:. 1579:: 1573:6 1552:. 1522:: 1494:. 1462:: 1435:. 1407:: 1380:. 1348:: 1342:9 1318:. 1290:: 1284:3 1256:. 1234:: 1207:. 1195:: 1168:. 1148:: 1140:: 1117:. 1085:: 1058:. 1033:. 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Index

microorganisms
evolution
comparative genomics
physiology
comparative anatomy
phylogenetics
genealogical trees
amino acids
proteins
nucleotides
Carl Woese
Bacteria
RNA
ribosomal RNA
Woese
Archaebacteria
sequencing
DNA
nucleotide sequences
genes
polymerase chain reaction
domains
Bacteria
Archaea
rRNA
biomass
rRNA
enzyme RNA polymerase
genealogies
horizontal gene transfer

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