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Microbial populations of Lascaux’s Apse in relation to collembola and black stains on cave walls.

ABSTRACT: Microbial populations of Lascaux’s Apse in relation to collembola and black stains on cave walls.

PROVIDER: PRJEB27257 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR2625870.fastq.gz	Fastqsanger.gz
	ERR2625880.fastq.gz	Fastqsanger.gz
	ERR2625890.fastq.gz	Fastqsanger.gz
	ERR2625900.fastq.gz	Fastqsanger.gz
	ERR2625910.fastq.gz	Fastqsanger.gz

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Similar Datasets

Microbial populations of Lascaux’s Apse in relation to collembola and black stains on cave walls.

Project description:Microbial populations of Lascaux’s Apse in relation to collembola and black stains on cave walls.

| PRJEB27258 | ENA

Collembola sequences from black stains, dark zones and unstained parts of Lascaux’s Apse

Project description:Collembola sequences from black stains, dark zones and unstained parts of Lascaux’s Apse

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Deciphering Black Extrinsic Tooth Stains composition in Children using metaproteomics

Project description:The present study focuses on the use of a metaproteomic approach to analyse Black Extrinsic Tooth Stains, a specific type of pigmented extrinsic substance, in a cohort of 96 Children. Metaproteomics is a powerful emerging technology that successfully enabled human protein and bacterial identification of this specific dental biofilm using mass spectrometry. 1600 bacterial proteins were identified in black stains (BS) samples and 2058 proteins in dental plaque (DP) samples whereas 607 and 582 human proteins identified in (BS and DP, respectively). 132 genera bacteria in black stains and dental plaque were identified using phylopeptidomic analysis, showing prevalence of Rothia, Kingella, Nesseria and Pseudopropionibatcterium in black stains samples. We additionally confirmed the metaproteomic approach by performing 16S rRNA. In this work, we showed an interesting diversity of the microbiota and proteome including significant difference between Black stain and dental plaque samples.

2024-07-25 | PXD029245 | Pride

Microbiome analysis in Lascaux Cave in relation to black stain alterations of rock surfaces and collembola.

Project description:Anthropization of Palaeolithic caves open for tourism may favour collembola invasion and result in the formation of black stains attributed to pigmented fungi. However, ecological processes underpinning black stain formation are not fully understood. Here, we tested the hypotheses that black stains from the Apse room of Lascaux Cave display a specific microbiota enriched in pigmented fungi, and that collembola thriving on the stains have the potential to consume and disseminate these black fungi. Metabarcoding showed that the microbiota of black stains and neighbouring unstained parts strongly differed, with in black stains a higher prevalence of Ochroconis and other pigmented fungi and the strong regression of Pseudomonas bacteria (whose isolates inhibited in vitro the growth of pigmented fungi). Isotopic analyses indicated that Folsomia candida collembola thriving on stains could feed on black stain in situ and assimilate the pigmented fungi they were fed with in vitro. They could carry these fungi and disseminate them when tested with complex black stains from Lascaux. This shows that black stain formation is linked to the development of pigmented fungi, which coincides with the elimination of antagonistic pseudomonads, and points towards a key role of F. candida collembola in the dynamics of pigmented fungi.

| S-EPMC10103860 | biostudies-literature

Collembola

Project description:Collembola Genome sequencing and assembly

| PRJNA762109 | ENA

Stochastic and deterministic assembly processes of microbial communities in relation to natural attenuation of black stains in Lascaux Cave.

Project description:Community assembly processes are complex and understanding them represents a challenge in microbial ecology. Here, we used Lascaux Cave as a stable, confined environment to quantify the importance of stochastic vs deterministic processes during microbial community dynamics across the three domains of life in relation to an anthropogenic disturbance that had resulted in the side-by-side occurrence of a resistant community (unstained limestone), an impacted community (present in black stains), and a resilient community (attenuated stains). Metabarcoding data showed that the microbial communities of attenuated stains, black stains, and unstained surfaces differed, with attenuated stains being in an intermediate position. We found four scenarios to explain community response to disturbance in stable conditions for the three domains of life. Specifically, we proposed the existence of a fourth, not-documented yet scenario that concerns the always-rare microbial taxa, where stochastic processes predominate even after disturbance but are replaced by deterministic processes during post-disturbance recovery. This suggests a major role of always-rare taxa in resilience, perhaps because they might provide key functions required for ecosystem recovery.IMPORTANCEThe importance of stochastic vs deterministic processes in cave microbial ecology has been a neglected topic so far, and this work provided an opportunity to do so in a context related to the dynamics of black-stain alterations in Lascaux, a UNESCO Paleolithic cave. Of particular significance was the discovery of a novel scenario for always-rare microbial taxa in relation to disturbance, in which stochastic processes are replaced later by deterministic processes during post-disturbance recovery, i.e., during attenuation of black stains.

| S-EPMC10878041 | biostudies-literature

Collembola

Project description:Genome sequencing and assembly of Collembola

| PRJNA1059519 | ENA

Collembola

Project description:Genome sequencing and assembly of Collembola

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Collembola

Project description:The complete mitochondrial genome of Collembola

| PRJNA756712 | ENA

Sugar sweet springtails: On the transcriptional response of Folsomia candida (Collembola) towards desiccation stress

Project description:Folsomia candida (Collembola) is able to survive dryer conditions by absorbing water vapour from its surroundings. To unravel the genomic responses underlying this intriguing water-absorption mechanism, we exposed the species to 98.2% Relative Humidity (eight, 27, 53 and 174 hours respectively) and subjected it to microarray based transcription profiling.

2009-09-01 | GSE16127 | GEO

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