Soil metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA263676 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1616020.fastq.gz | Fastqsanger.gz | |||
| SRR1616030.fastq.gz | Fastqsanger.gz | |||
| SRR1616040.fastq.gz | Fastqsanger.gz | |||
| SRR1616011.fastq.gz | Fastqsanger.gz | |||
| SRR1616021.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 36 |
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Project description:Description: Bacterial and fungal exometabolites were harvested from MetaFlowTrain. Bacteria and fungi were grown in various peat washes within the MetaFlowTrain system. Two milliliters of exometabolites were collected at two different timepoints 24 hours and 62 hours from the MetaFlowTrain output and subsequently extracted (for more details, see publication).
There are four folders:
- "221208_Guillaume_Chambers_AA"
- "221208_Guillaume_Chambers_TCA&Gly"
- "230530_Guillaume_Chambers_AA"
- "230530_Guillaume_Chambers_TCA&Gly".
Data in the folders from 221208 were used to build Figure 2, while data from 230530 were used for Figures 3 and 4.
Filenames depict, in order: the sample number, the microbial inoculum in the first chamber, the microbial inoculum in the second chamber, and the peat wash used. F stands for fungi, B for bacteria, and X for mock (e.g., "01_F_B_Peat1" indicates sample number 1, fungi in the first chamber, bacteria in the second chamber, and peat wash 1).
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Project description:In order to get insights into the ability of ectomycorrhizal fungi to perceive their biotic environment as well as into the mechanisms of the interactions between ectomycorrhizal fungi and soil bacteria, we analysed the transcriptomic response of the ectomycorrhizal fungus L. bicolor and of two beneficial, and neutral soil bacteria during their interactions in vitro.
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Project description:Because of severe abiotic limitations, Antarctic soils represent simplified ecosystems, where microorganisms are the principle drivers of nutrient cycling. This relative simplicity makes these ecosystems particularly vulnerable to perturbations, like global warming, and the Antarctic Peninsula is among the most rapidly warming regions on the planet. However, the consequences of the ongoing warming of Antarctica on microorganisms and the processes they mediate are unknown. Here, using 16S rRNA gene pyrosequencing and qPCR, we report a number of highly consistent changes in microbial community structure and abundance across very disparate sub-Antarctic and Antarctic environments following three years of experimental field warming (+ 0.5-2°C). Specifically, we found significant increases in the abundance of fungi and bacteria and in the Alphaproteobacteria-to-Acidobacteria ratio. These alterations were linked to a significant increase in soil respiration. Furthermore, the shifts toward generalist or opportunistic bacterial communities following warming weakened the linkage between bacterial diversity and functional diversity. Warming also increased the abundance of some organisms related to the N-cycle, detected as an increase in the relative abundance of nitrogenase genes via GeoChip microarray analyses. Our results demonstrate that soil microorganisms across a range of sub-Antarctic and Antarctic environments can respond consistently and rapidly to increasing temperatures, thereby potentially disrupting soil functioning. We conducted in situ warming experiments for three years using open-top chambers (OTCs) at one sub-Antarctic (Falkland Islands, 52ºS) and two Antarctic locations (Signy and Anchorage Islands, 60ºS and 67ºS respectively) (see Supplementary Fig. 1 for a map). OTCs increased annual soil temperature by an average of 0.8°C (at a depth of 5 cm), resulting in 8-43% increase in positive-degree days annually and a decrease in freeze-thaw cycle frequency by an average of 15 cycles per year (8). At each location, we included densely vegetated and bare fell-field soils in the experimental design for a total of six environments. Densely vegetated and bare environments represent two contrasting environments for Antarctic soil microorganisms, with large differences in terms of C and N inputs to soils. Massively parallel pyrosequencing (Roche 454 GS FLX Titanium) of 16S rRNA gene amplicons was used to follow bacterial diversity and community composition [GenBank Accession Numbers: HM641909-HM744649], and functional gene microarrays (GeoChip 2.0)(11) were used to assess changes in functional gene distribution. Bacterial and fungal communities were also quantified using real-time PCR.
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