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A probabilistic definition of a species, fuzzy boundaries and ‘sigma taxonomy’
Morphometric and genetic analyses of a variety of living and fossil taxa1- support the use of a probabilistic definition of a species in the context of ‘sigma taxonomy’ (where sigma represents ‘S’ for spectrum), in contrast to alpha taxonomy, for which boundaries discriminating species are presumed...
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Published in: | South African Journal of Science 2017-05, Vol.113 (5-6), p.24-25 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Morphometric and genetic analyses of a variety of living and fossil taxa1- support the use of a probabilistic definition of a species in the context of ‘sigma taxonomy’ (where sigma represents ‘S’ for spectrum), in contrast to alpha taxonomy, for which boundaries discriminating species are presumed to be distinct, thus accommodating only rigid, ‘either-or’ classification schemes. Recently, integrated taxonomic approaches, involving morphology and genetics, have demonstrated that traditional definitions of species boundaries may require re-evaluation and revision. Integrated analyses of gibbons and giraffes, for example, have narrowed boundaries and led researchers to recognise more species than were previously identified. Species identification is complicated in part by the potential for some populations to hybridise and, in the case of living wolf populations, genetic analyses have widened boundaries and revealed that there are fewer species – or more hybrids – than previously thought. Analyses of ancient DNA have also exposed hybrids of the past: there is now evidence that populations of elephants and mammoths likely interbred and, of course, Neanderthal DNA is known to be part of the modern human genome to this day, as a result of introgression of Neanderthals and early modern Homo sapiens – a relationship hinted at by morphology, now confirmed genetically. |
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ISSN: | 0038-2353 1996-7489 |
DOI: | 10.17159/sajs.2017/a0206 |