Soil metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA336773 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Forest soil microbial communities from Amazon forest - 2010 replicate II A100 metagenome
| PRJNA337825 | ENA
Project description:Forest soil microbial communities from Amazon forest - Pasture72 2010 replicate I A001 metagenome
| PRJNA336767 | ENA
Project description:Forest soil microbial communities from Amazon forest - Pasture72 2010 replicate I A01 metagenome
| PRJNA336770 | ENA
Project description:Forest soil microbial communities from Amazon forest - Pasture72 2010 replicate I A1 metagenome
| PRJNA336771 | ENA
Project description:Forest soil microbial communities from Amazon forest - Pasture72 2010 replicate I A10 metagenome
| PRJNA336772 | ENA
Project description:Forest soil microbial communities from Amazon forest - 2010 replicate II A10 metagenome
| PRJNA336765 | ENA
Project description:Forest soil microbial communities from Amazon forest - 2010 replicate II A1 metagenome
| PRJNA336766 | ENA
Project description:Forest soil microbial communities from Amazon forest - 2010 replicate II A01 metagenome
| PRJNA336764 | ENA
Project description:Forest soil microbial communities from Amazon forest - 2010 replicate II A001 metagenome
| PRJNA336700 | ENA
Project description:Soil microbial community is a complex blackbox that requires a multi-conceptual approach (Hultman et al., 2015; Bastida et al., 2016). Most methods focus on evaluating total microbial community and fail to determine its active fraction (Blagodatskaya & Kuzyakov 2013). This issue has ecological consequences since the behavior of the active community is more important (or even essential) and can be different to that of the total community. The sensitivity of the active microbial community can be considered as a biological mechanism that regulates the functional responses of soil against direct (i.e. forest management) and indirect (i.e. climate change) human-induced alterations. Indeed, it has been highglihted that the diversity of the active community (analyzed by metaproteomics) is more connected to soil functionality than the that of the total community (analyzed by 16S rRNA gene and ITS sequencing) (Bastida et al., 2016). Recently, the increasing application of soil metaproteomics is providing unprecedented, in-depth characterisation of the composition and functionality of active microbial communities and overall, allowing deeper insights into terrestrial microbial ecology (Chourey et al., 2012; Bastida et al., 2015, 2016; Keiblinger et al., 2016). Here, we predict the responsiveness of the soil microbial community to forest management in a climate change scenario. Particularly, we aim: i) to evaluate the impacts of 6-years of induced drought on the diversity, biomass and activity of the microbial community in a semiarid forest ecocosystem; and ii) to discriminate if forest management (thinning) influences the resistance of the microbial community against induced drought. Furthermore, we aim to ascertain if the functional diversity of each phylum is a trait that can be used to predict changes in microbial abundance and ecosystem functioning.
2021-02-02 | PXD005447 | Pride