scholarly journals Forewing structure of the solitary bee Osmia bicornis developing on heavy metal pollution gradient

Ecotoxicology ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 1031-1040 ◽  
Author(s):  
Hajnalka Szentgyörgyi ◽  
Dawid Moroń ◽  
Anna Nawrocka ◽  
Adam Tofilski ◽  
Michał Woyciechowski
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Solitary Bee ◽  
Pollution Gradient ◽  
Osmia Bicornis

Immunotoxicology in wood mice along a heavy metal pollution gradient

2004 ◽  
Vol 132 (3) ◽  
pp. 385-394 ◽  
Author(s):  
Katrien Tersago ◽  
Wim De Coen ◽  
Jan Scheirs ◽  
Katrien Vermeulen ◽  
Ronny Blust ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Gradient ◽  
Wood Mice

scholarly journals Heavy Metal Pollution, Selection, and Genome Size: The Species of the Žerjav Study Revisited with Flow Cytometry

2010 ◽  
Vol 2010 ◽  
pp. 1-11 ◽  
Author(s):  
Eva M. Temsch ◽  
Wilhelm Temsch ◽  
Luise Ehrendorfer-Schratt ◽  
Johann Greilhuber
Keyword(s):  
Heavy Metal ◽  
Flow Cytometry ◽  
Genome Size ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Death Valley ◽  
Pollution Gradient ◽  
Complete Sample ◽  
Distribution Method ◽  
Large Genome

The Death Valley at Žerjav in northern Slovenia exhibits a gradient of heavy metal pollution in the soil with severe consequences for species richness and composition along this gradient. Recently, a progressive loss of large-genome species in parallel with increasing concentrations of heavy metals has been shown. Here, we have measured the genome size of a near-complete sample of these species with flow cytometry and analysed the correlation of heavy metal pollution with the C- and Cx-values assigned to the test plots. The method of probability analysis was a hypergeometric distribution method. We confirm, on a different methodological basis than previously, that along the pollution gradient, species with high C- and Cx-values are increasingly underrepresented. This lends support to the “large genome constraint hypothesis”, predicting that plants with large genomes are at a disadvantage under all aspects of evolution, ecology, and phenotype, because junk DNA imposes a load to the organism.

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