Intraspecific variability of isozymes of the lichen Umbilicaria mammulata

1984 ◽  
Vol 62 (4) ◽  
pp. 617-623 ◽  
Author(s):  
C. Hageman ◽  
D. Fahselt

Thalli of the lichen Umbilicaria mammulata (Ach.) Tuck, were collected from six geographically distinct locations and extracts of these were analyzed by isoelectric focusing to test for isozyme variability within and between sites. A total of 58 bands were resolved representing eight different enzyme systems; some enzymes exhibited mostly constant electromorphs, and the remainder were highly polymorphic with many variable bands. Other enzyme systems were not reliably detectable in U. mammulata. Sums of squares agglomeration and principal-components analysis of the molecular data showed the existence of distinct groups corresponding to sets of thalli collected at each of the collection sites. There was a positive correlation between the phenctie distance between sites, based on isozyme distribution, and physical intersite distance.

2008 ◽  
Vol 6 (3) ◽  
pp. 367-378 ◽  
Author(s):  
Mónica S. Rodriguez ◽  
Christian A. Cramer ◽  
Sandro L. Bonatto ◽  
Roberto E. Reis

The genus Ixinandria was described in 1979 to include I. steinbachi from the upper río Juramento in northern Argentina and I. montebelloi from the upper río Bermejo in southern Bolivia. We used a multivariate morphometric analysis (Principal Components Analysis) and a molecular comparison of the Cytochrome Oxidase I gene to investigate variation among distinct populations from the known distribution range of both species. We conclude that the populations are not significantly distinct and do not deserve separate species recognition, and we place I. montebelloi in the synonymy of I. steinbachi.


1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.


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