scholarly journals Anticipated sub-bottom geology of Lake Vostok and technological approaches considered for sampling

Geochemistry ◽  
2020 ◽  
Vol 80 (3) ◽  
pp. 125556 ◽  
Author(s):  
V.S. Litvinenko ◽  
G.L. Leitchenkov ◽  
N.I. Vasiliev
Keyword(s):  
2014 ◽  
Vol 26 (5) ◽  
pp. 491-501 ◽  
Author(s):  
Sandra Pucciarelli ◽  
Federica Chiappori ◽  
Raghul Rajan Devaraj ◽  
Guang Yang ◽  
Ting Yu ◽  
...  

AbstractWe identified two ice-binding protein (IBP) sequences, named EFsymbAFP and EFsymbIBP, from a putative bacterial symbiont of the Antarctic psychrophilic ciliate Euplotes focardii. EFsymbAFP is 57.43% identical to the antifreeze protein (AFP) from the Stigmatella aurantiaca strain DW4/3-1, which was isolated from the Victoria Valley lower glacier. EFsymbIBP is 53.38% identical to the IBP from the Flavobacteriaceae bacterium strain 3519-10, isolated from the glacial ice of Lake Vostok. EFsymbAFP and EFsymbIBP are 31.73% identical at the amino acid level and are organized in tandem on the bacterial chromosome. The relatively low sequence identity and the tandem organization, which appears unique to this symbiont, suggest an occurrence of horizontal gene transfer (HGT). Structurally, EFsymbAFP and EFsymbIBP are similar to the AFPs from the snow mould fungus Typhula ishikariensis and from the Arctic yeast Leucosporidium sp. AY30. A phylogenetic analysis showed that EFsymbAFP and EFsymbIBP cluster principally with the IBP sequences from other Antarctic bacteria, supporting the view that these sequences belong to an Antarctic symbiontic bacterium of E. focardii. These results confirm that IBPs have a complex evolutionary history, which includes HGT events, most probably due to the demands of the environment and the need for rapid adaptation.


2019 ◽  
pp. 123-134
Author(s):  
Scott O. Rogers ◽  
John D. Castello
Keyword(s):  

2015 ◽  
Vol 52 (4) ◽  
pp. 65
Author(s):  
V. Ya. Lipenkov ◽  
E. V. Polyakova ◽  
A. A. Ekaykin
Keyword(s):  

2015 ◽  
Vol 52 (4) ◽  
pp. 78
Author(s):  
A. A. Ekaykin ◽  
V. Ya. Lipenkov ◽  
A. V. Kozachek
Keyword(s):  
Ice Core ◽  

2015 ◽  
Vol 52 (4) ◽  
pp. 21
Author(s):  
G. I. Leychenkov ◽  
A. M. Popkov
Keyword(s):  

Geophysics ◽  
2005 ◽  
Vol 70 (1) ◽  
pp. J1-J12 ◽  
Author(s):  
Lopamudra Roy ◽  
Mrinal K. Sen ◽  
Donald D. Blankenship ◽  
Paul L. Stoffa ◽  
Thomas G. Richter

Interpretation of gravity data warrants uncertainty estimation because of its inherent nonuniqueness. Although the uncertainties in model parameters cannot be completely reduced, they can aid in the meaningful interpretation of results. Here we have employed a simulated annealing (SA)–based technique in the inversion of gravity data to derive multilayered earth models consisting of two and three dimensional bodies. In our approach, we assume that the density contrast is known, and we solve for the coordinates or shapes of the causative bodies, resulting in a nonlinear inverse problem. We attempt to sample the model space extensively so as to estimate several equally likely models. We then use all the models sampled by SA to construct an approximate, marginal posterior probability density function (PPD) in model space and several orders of moments. The correlation matrix clearly shows the interdependence of different model parameters and the corresponding trade-offs. Such correlation plots are used to study the effect of a priori information in reducing the uncertainty in the solutions. We also investigate the use of derivative information to obtain better depth resolution and to reduce underlying uncertainties. We applied the technique on two synthetic data sets and an airborne-gravity data set collected over Lake Vostok, East Antarctica, for which a priori constraints were derived from available seismic and radar profiles. The inversion results produced depths of the lake in the survey area along with the thickness of sediments. The resulting uncertainties are interpreted in terms of the experimental geometry and data error.


Polar Science ◽  
2018 ◽  
Vol 17 ◽  
pp. 59-74 ◽  
Author(s):  
Jaroslav Klokočník ◽  
Jan Kostelecký ◽  
Václav Cílek ◽  
Aleš Bezděk ◽  
Ivan Pešek
Keyword(s):  

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