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Phenetics

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135:. These are sophisticated methods of reducing the variation displayed by organisms to a manageable degree. In practice this means measuring dozens of variables, and then presenting them as two- or three-dimensional graphs. Much of the technical challenge of phenetics concerns balancing the loss of information due to such a reduction against the ease of interpreting the resulting graphs. 216:, which has more modern traits. But only the latter are a group of closest relatives; the former are numerous independent and ancient lineages which are related about as distantly to each other as each single one of them is to the Passerida. For a phenetic analysis, the large degree of overall similarity found among the Corvida will make them seem to be 224:
songbirds already. It is the loss of these ancestral traits rather than their presence that signifies which songbirds are more closely related to each other than to other songbirds. However, the requirement that taxa be monophyletic – rather than paraphyletic as for the case of the Corvida – is
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from another. Classifying diverse groups of closely related organisms that differ very subtly is difficult using a cladistic method. Phenetics provides numerical methods for examining patterns of variation, allowing researchers to identify discrete groups that can be classified as species.
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The two methods are not mutually exclusive. There is no reason why, e.g., species identified using phenetics cannot subsequently be subjected to cladistic analysis, to determine their evolutionary relationships. Phenetic methods can also be superior to cladistics when only the
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Many systematists continue to use phenetic methods, particularly to address species-level questions. While a major goal of taxonomy remains describing the 'tree of life' – the evolutionary relationships of all species – for
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Traditionally there was much debate between pheneticists and cladists, as both methods were proposed initially to resolve evolutionary relationships. One of the most noteworthy applications of phenetics were the
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which is concerned with the use of numerical methods for taxonomic classification. Many people contributed to the development of phenetics, but the most influential were
335:, phenetic techniques of botany – though less informative altogether – may, for these special cases, be less prone to errors compared with cladistic analysis of 478:
Legendre, Pierre & Louis Legendre. 1998. Numerical ecology. 2nd English edition. Elsevier Science BV, Amsterdam. xv + 853 pages.
146:) because of two shared basic principles – overall similarity and equal weighting – and modern pheneticists are sometimes termed 297:. The results of cladistic analyses were proven superior to those of phenetic methods, at least for resolving phylogenies. 494: 289:") have been rejected. However, with computers growing increasingly powerful and widespread, more refined cladistic 433: 355: 120:, are used for phylogenetics, as a reasonable approximation of phylogeny when more advanced methods (such as 342:
In addition, many of the techniques developed by phenetic taxonomists have been adopted and extended by
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for research into evolutionary relationships among species. However, certain phenetic methods, such as
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itself part of the cladistic method of taxonomy, not necessarily obeyed absolutely by other methods.
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Science as a process: an evolutionary account of the social and conceptual development of science
132: 109:. Their books are still primary references for this sub-discipline, although now out of print. 75: 254: 186: 90: 89:, is an attempt to classify organisms based on overall similarity, usually with respect to 19:
This article is about the classification of organisms. For the study of speech sounds, see
8: 365: 380: 266: 190: 178: 121: 98: 370: 343: 328: 319: 258: 175: 128: 117: 39: 181:, which retain many plesiomorphies compared to more advanced lineages, seem to be 262: 236:
The history of pheneticism and cladism as rival taxonomic systems is analysed in
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anew in one or several lineages. A common problem with phenetic analysis is that
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Numerical taxonomy – The principles and practice of numerical classification
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of related taxa is important, as the computational requirements are less.
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Schuh, Randall. 2000. Biological Systematics, p. 6. Cornell U. Press.
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Integrative Biology 200A Principles of Phylogenetics: Systematics
286: 201: 185:. Phenetic analyses are also liable to be rendered inaccurate by 171: 29: 317:, and some examples can be found in most issues of the journal 314: 281:) have been vindicated, while others (e.g. the all-inclusive " 220:
too, but their shared traits were present in the ancestors of
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Attempt to classify organisms based on overall similarity
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became available which could test the suggestions of
193:. Cladistic methods attempt to solve those problems. 66: 63: 51: 42: 57: 434:"Principals of Phylogenetic Systematics: Phenetics" 97:or evolutionary relation. It is related closely to 48: 166:, traits that are inherited from an ancestor, and 468:. Chicago, Illinois: University of Chicago Press. 486: 313:Modern applications of phenetics are common for 93:or other observable traits, regardless of their 461: 153: 127:Phenetic techniques include various forms of 162:", that is, they do not distinguish between 413:. W. H. Freeman, San Francisco. xv + 573 p. 204:, which retains ancient characteristics of 409:Sneath, P. H. A. & R. R. Sokal. 1973. 138:The method can be traced back to 1763 and 200:. These can be divided into two groups – 112:Phenetics has been largely superseded by 487: 305:one needs to be able to separate one 124:) are too expensive computationally. 431: 13: 85: 'to appear'), also known as 14: 506: 331:and other peculiarities of plant 323:. Indeed, due to the effects of 247: 38: 269:, from which resulted the 1990 472: 455: 425: 416: 403: 356:Distance matrices in phylogeny 1: 396: 7: 349: 10: 511: 391:Operational taxonomic unit 154:Difference from cladistics 18: 495:Biological classification 443:. University of Berkeley 325:horizontal gene transfer 271:Sibley-Ahlquist taxonomy 462:Hull, David L. (1988). 158:Phenetic analyses are " 255:DNA-DNA hybridization 196:Consider for example 344:community ecologists 242:Science as a Process 187:convergent evolution 144:Familles des plantes 432:Lindberg, David R. 366:Form classification 329:polyploid complexes 179:evolutionary grades 267:Burt L. Monroe Jr. 191:adaptive radiation 122:Bayesian inference 99:numerical taxonomy 371:Linnaean taxonomy 320:Systematic Botany 259:Charles G. Sibley 502: 479: 476: 470: 469: 459: 453: 452: 450: 448: 438: 429: 423: 420: 414: 407: 118:neighbor-joining 73: 72: 69: 68: 65: 62: 59: 56: 53: 50: 47: 44: 510: 509: 505: 504: 503: 501: 500: 499: 485: 484: 483: 482: 477: 473: 460: 456: 446: 444: 436: 430: 426: 421: 417: 408: 404: 399: 352: 263:Jon E. Ahlquist 250: 156: 107:Robert R. Sokal 41: 37: 24: 17: 12: 11: 5: 508: 498: 497: 481: 480: 471: 454: 424: 415: 401: 400: 398: 395: 394: 393: 388: 383: 378: 373: 368: 363: 358: 351: 348: 249: 246: 170:, traits that 164:plesiomorphies 155: 152: 148:neo-Adansonian 140:Michel Adanson 15: 9: 6: 4: 3: 2: 507: 496: 493: 492: 490: 475: 467: 464: 458: 442: 435: 428: 419: 412: 406: 402: 392: 389: 387: 384: 382: 379: 377: 374: 372: 369: 367: 364: 362: 361:Folk taxonomy 359: 357: 354: 353: 347: 345: 340: 338: 337:DNA sequences 334: 330: 326: 322: 321: 316: 311: 308: 304: 298: 296: 292: 288: 284: 283:Ciconiiformes 280: 276: 272: 268: 264: 260: 256: 248:Current usage 245: 243: 240:'s 1988 book 239: 234: 232: 226: 223: 219: 215: 211: 207: 203: 199: 194: 192: 188: 184: 180: 177: 173: 169: 165: 161: 151: 149: 145: 141: 136: 134: 130: 125: 123: 119: 115: 110: 108: 104: 100: 96: 92: 88: 84: 80: 77: 76:Ancient Greek 71: 35: 31: 26: 22: 474: 466: 463: 457: 445:. Retrieved 440: 427: 418: 410: 405: 341: 318: 312: 299: 295:Willi Hennig 279:Galloanserae 251: 241: 235: 231:distinctness 230: 227: 221: 218:monophyletic 195: 183:monophyletic 157: 147: 143: 137: 126: 111: 103:Peter Sneath 86: 82: 79: 33: 27: 25: 257:studies by 168:apomorphies 87:taximetrics 74:; from 447:10 October 397:References 386:Dendrogram 291:algorithms 285:" or the " 238:David Hull 133:ordination 129:clustering 114:cladistics 91:morphology 83:(phainein) 376:Phenomics 303:fieldwork 214:Passerida 206:phenotype 198:songbirds 95:phylogeny 34:phenetics 21:Phonetics 489:Category 381:Taxonomy 350:See also 333:genomics 210:genotype 160:unrooted 142:(in his 287:Corvida 202:Corvida 172:evolved 81:φαίνειν 30:biology 315:botany 212:, and 437:(PDF) 307:taxon 275:birds 176:basal 78: 449:2018 273:for 265:and 208:and 189:and 131:and 105:and 222:all 150:s. 28:In 491:: 439:. 339:. 327:, 261:, 244:. 32:, 451:. 70:/ 67:s 64:k 61:ɪ 58:t 55:ɛ 52:n 49:ˈ 46:ɪ 43:f 40:/ 36:( 23:.

Index

Phonetics
biology
/fɪˈnɛtɪks/
Ancient Greek
morphology
phylogeny
numerical taxonomy
Peter Sneath
Robert R. Sokal
cladistics
neighbor-joining
Bayesian inference
clustering
ordination
Michel Adanson
unrooted
plesiomorphies
apomorphies
evolved
basal
evolutionary grades
monophyletic
convergent evolution
adaptive radiation
songbirds
Corvida
phenotype
genotype
Passerida
monophyletic

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