2022
DOI: 10.3390/environments9090115
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Three Soil Bacterial Communities from an Archaeological Excavation Site of an Ancient Coal Mine near Bennstedt (Germany) Characterized by 16S r-RNA Sequencing

Abstract: This metagenomics investigation of three closely adjacent sampling sites from an archaeological excavation of a pre-industrial coal mining exploration shaft provides detailed information on the composition of the local soil bacterial communities. The observed significant differences between the samples, reflected in the 16S r-RNA analyses, were consistent with the archaeologically observed situation distinguishing the coal seam, the rapidly deposited bright sediment inside an exploration shaft, and the topsoil… Show more

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Cited by 5 publications
(7 citation statements)
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“…The appearance of Micrarchaeota in the samples from the ancient coal mine area near Bennstedt corresponds to the fact that this archaeal phylum is related to acidic environments and can be associated with Thermoplasmatales [ 22 ]. Indeed, the three samples of Bennstedt showed the lowest pH values of the investigated soil samples (pH between 4.05 and 4.22 [ 23 ]).…”
Section: Resultsmentioning
confidence: 99%
“…The appearance of Micrarchaeota in the samples from the ancient coal mine area near Bennstedt corresponds to the fact that this archaeal phylum is related to acidic environments and can be associated with Thermoplasmatales [ 22 ]. Indeed, the three samples of Bennstedt showed the lowest pH values of the investigated soil samples (pH between 4.05 and 4.22 [ 23 ]).…”
Section: Resultsmentioning
confidence: 99%
“…For comparison, also some NGS-data from a sample set of Bennstedt were used, here [12]. These samples had been taken from an ancient coal mine prospection shaft.…”
Section: Soil Samplesmentioning
confidence: 99%
“…For a short explanation, a scheme of sample and data processing steps is shown in Figure S2. The details of the whole process of sample preparation, DNA analysis, data processing and taxonomical analysis were performed as described previously [12]. The SILVA database was used for identification of bacteria from the sequence data [21][22][23].…”
Section: Soil Samplesmentioning
confidence: 99%
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