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Microbial Pathogenesis
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Archeomicrobiology applied to environmental samples

Authors: Afouda, Pamela; Dubourg, Gregory; Raoult, Didier;

Archeomicrobiology applied to environmental samples

Abstract

The study of ancient microorganisms represents one of the main ways to understand how microbes have evolved to date, especially those associated with humans or ecosystems of interest. However, these studies are always tedious because the viability of the microbes is difficult to maintain and the degradation of their DNA, can make their detection difficult. The explosion in the number of studies on ancient microorganisms in recent years is partly due to improved methods and their availability, ranging from microscopy to next generation sequencing techniques (NGS). In this article, we discuss these methods and their contribution to deciphering the ancient environmental microbial community, with particular emphasis on permafrost, ancient halite, amber and ancient rocks.

Country
France
Keywords

[SDV.MP.VIR] Life Sciences [q-bio]/Microbiology and Parasitology/Virology, [SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Microbiological Techniques, Geologic Sediments, Bacteria, Microbiota, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Evolution, Molecular, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, [SDV.MP.PAR] Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
bronze