MULTIDIMENSIONAL-ANALYSIS OF GEOGRAPHIC GENETIC-STRUCTURE
MULTIDIMENSIONAL-ANALYSIS OF GEOGRAPHIC GENETIC-STRUCTURE
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DOI:
10.2307/2992184
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发表时间:
1990-09-01
期刊:
影响因子:
--
通讯作者:
LESSA, EP
中科院分区:
文献类型:
--
作者:
LESSA, EP
Multilocus data are an important source of information on genetic variation within and among populations. Hierarchial techniques are used widely for examining multilocus data. However, the limitations of hierarchial (phenetic or phylogenetic) algorithms to depict geographic genetic structure, particularly within species, have long been recognized. Multidimensional scaling of genetic distances is herein examined as a useful technique for exploratory analysis of geographic genetic structure. The advantages and limitations of multidimensional scaling are discussed and illustrated with reanalysis of two case studies: pocket gophers (Thomomys bottae) of the central California "genetic group" and a hybrid zone of two chromosomal forms of the tent-making bat (Uroderma bilobatum). Multidimensional scaling does recover hierarchical patterns when present and is especially useful to uncover nonhierarchial patterns of variation. The finding that reticular and clinical patterns of variation may be examined via multidimensional scaling even in the absence of fixed genetic differences between hybridizing taxa opens new possibilities for study geographic genetic divergence and speciation.