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Ice cores contain stratigraphic records of microbial cells, buried through thousands of years of snow accumulation and spanning significant climatic periods. It is well established that microorganisms are transported to and preserved within the West Antarctic Ice Sheet. From the total assemblage of microorganisms that land on the ice sheet, we do not know how or if microorganisms survive burial and persist long-term in glacial ice equally. We cannot accurately interpret microbial cell stratigraphic records or utilize these cellular records as proxies until we understand post-depositional processes and the genomic adaptations of microbial cells in glacial ice. Here, we quantify cell concentrations in meltwater from four flow paths of a continuous flow analysis melter system in order to evaluate the efficacy of these flow paths for the successful collection of intact cells archived in ice cores. Using this information, we melted eight sections from the WAIS Divide ice core and quantified the cell concentrations, assayed the viability of the microbial cells, and sorted individual cells for genome sequencing. We will present preliminary data from the flow path cell recovery experiment, and genomic and viability results from the WAIS Divide ice core, with the hope to stimulate further discussion around single cell genomes and how they can be leveraged to complement paleoclimate information from ice cores.
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An information-theoretic approach to extracting climate signals from deep polar ice cores
Paleoclimate records are rich sources of information about the past history of the Earth system. Information theory provides a new means for studying these records. We demonstrate that weighted permutation entropy of water-isotope data from the West Antarctica Ice Sheet (WAIS) Divide ice core reveals meaningful climate signals in this record. We find that this measure correlates with accumulation (meters of ice equivalent per year) and may record the influence of geothermal heating effects in the deepest parts of the core. Dansgaard-Oeschger and Antarctic Isotope Maxima events, however, do not appear to leave strong signatures in the information record, suggesting that these abrupt warming events may actually be predictable features of the climate’s dynamics. While the potential power of information theory in paleoclimatology is significant, the associated methods require well-dated and high-resolution data. The WAIS Divide core is the first paleoclimate record that can support this kind of analysis. As more high-resolution records become available, information theory could become a powerful forensic tool in paleoclimate science.
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- PAR ID:
- 10588626
- Publisher / Repository:
- American Institute of Physics
- Date Published:
- Journal Name:
- Chaos: An Interdisciplinary Journal of Nonlinear Science
- Volume:
- 29
- Issue:
- 10
- ISSN:
- 1054-1500
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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