scholarly journals Inherited and somatic cytogenetic variability in Palearctic populations of Chironomus riparius Meigen 1804 (Diptera, Chironomidae)

Genome ◽  
2004 ◽  
Vol 47 (2) ◽  
pp. 332-344 ◽  
Author(s):  
Gabriella Sella ◽  
Stefano Bovero ◽  
Marco Ginepro ◽  
Paraskeva Michailova ◽  
Ninel Petrova ◽  
...  

Inter- and intracytogenetic variability was analyzed in 13 natural Palearctic populations of Chironomus riparius Meigen 1804 (syn. Chironomus thummi) by examining hereditary and somatic aberrations (mainly inversions) of the salivary gland polytene chromosomes. In total, 77 different types of inherited inversion sequences and 184 different types of somatic inversions were found. The median percent frequency of inherited inversions was 1.4% and karyotypic divergence between populations was very low. Most hereditary inversions were endemic and always in a heterozygous state. Only six inversion sequences, each of them shared by two very distant populations, may be considered a relic of very ancient ancestral inversions. Unlike inherited inversions, occurrence of somatic aberrations seems to increase with the overall rise in the level of heavy metal pollution of the sediments from which larvae were sampled. In contrast with what occurs in populations of other chironomid species, populations of C. riparius do not seem to undergo a process of cytogenetic differentiation.Key words: Chironomus thummi, polytene chromosomes, inversion polymorphism, somatic aberrations, heavy metal pollution.

Author(s):  
Ivars Locis

The paper presents the issue of heavy metals in the different types of degraded territory in rural areas. For the test was chosen three different degraded territory: the former petrol station, the former farm mechanical workshop, the former farm cattle storage. All of three objects during operation were subjected to intensive polluting impact. They are included in the contaminated and potentially contaminated sites register. High concentrations of heavy metals in the soil of degraded territory is a factor that affects the planning for regeneration. Revitalization of contaminated sites and further use of them is possible only after the remediation works.


2015 ◽  
Vol 67 (3) ◽  
pp. 1009-1023 ◽  
Author(s):  
Zhivko Zhelev ◽  
Georgi Popgeorgiev ◽  
Atanas Arnaudov ◽  
Katerina Georgieva ◽  
Nikolay Mehterov

The aim of this study was to investigate the integral indicator for developmental stability, the fluctuating asymmetry (FA), in the marsh frog Pelophylax ridibundus populations that inhabit biotopes of different types (running rivers and still, dam lakes), when exposed to different types of anthropogenic pollution (domestic sewage pollution and heavy metal pollution) in south Bulgaria. A total of 920 P. ridibundus individuals were used for FA analyses over three years (2009-2011). Fluctuating asymmetry was defined by 10 morphological traits, using the index frequency of asymmetric manifestation of an individual (FAMI). In closed water basins, regardless of the nature of toxicants, the FA values in P. ridibundus populations were statistically lower than those in river populations. The FA values were constantly the highest under conditions of sustained anthropogenic pollution, with high concentrations of toxicants in rivers with domestic sewage pollution and heavy-metal pollution. The results provide better opportunities to use FA in P. ridibundus populations for bioindication and biomonitoring, and for parallel and independent analyses of the physicochemical assessment of the environmental condition.


2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.


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