Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1313383 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Denitrifying community across black soil region of northeast China Raw sequence reads
| PRJNA719715 | ENA
Project description:The experiment at three long-term agricultural experimental stations (namely the N, M and S sites) across northeast to southeast China was setup and operated by the Institute of Soil Science, Chinese Academy of Sciences. This experiment belongs to an integrated project (The Soil Reciprocal Transplant Experiment, SRTE) which serves as a platform for a number of studies evaluating climate and cropping effects on soil microbial diversity and its agro-ecosystem functioning. Soil transplant serves as a proxy to simulate climate change in realistic climate regimes. Here, we assessed the effects of soil type, soil transplant and landuse changes on soil microbial communities, which are key drivers in Earth’s biogeochemical cycles.
2016-02-04 | GSE77546 | GEO
Project description:black soil in Northeast China Genome sequencing
| PRJNA264601 | ENA
Project description:This study examined archaeal lipidome of a total of 52 sediment and soil samples across a wide range of environmental gradients, including sediment from hot springs in Tengchong, Yunan Province, sediment from acid mine drainages in Anhui and Guangdong provinces, permafrost soil from Tibet Plateau, soil from Western Sichuan Plateau, surface sediment of cold seeps and sediment core material from the South China Sea, and sediment from the East China Sea.
2025-02-14 | MSV000097126 | MassIVE
Project description:<p>Carbonate-type saline-alkaline stress severely constrains maize production; however, the synergistic response mechanisms between rhizosphere microorganisms and metabolites remain unclear. This study focused on maize fields in the carbonate chernozem region of the Songnen Plain in Northeast China. Through field experiments and the integration of soil chemical factor analysis, microbial high-throughput sequencing (16S rRNA and ITS), and non-targeted metabolomics (LC-MS), we systematically investigated the response mechanisms of the rhizosphere micro-ecosystem under saline-alkaline stress. The results indicated that saline-alkaline stress significantly increased soil pH and electrical conductivity (EC), and led to decreases in soil organic matter (SOM), total nitrogen (TN), and total phosphorus (TP) contents. However, the rhizosphere zone exhibited a certain buffering capacity, maintaining a higher cation exchange capacity (CEC). Microbial community analysis revealed that bacterial alpha diversity increased under stress. In contrast, fungal diversity significantly decreased, and the community structure shifted towards a pathogen-dominated community, primarily within Ascomycota, especially the genus Fusarium. Co-occurrence network analysis further revealed that saline-alkaline conditions enhanced the complexity and connectivity of bacterial networks but led to the contraction and structural simplification of fungal networks. Metabolite analysis showed that saline-alkaline stress induced significant reprogramming of the rhizosphere metabolic profile. Organophosphorus compounds, nucleotides, and their analogs were significantly enriched, while defensive secondary metabolites such as Cajanol specifically accumulated in the saline-alkaline rhizosphere. Pathway analysis indicated the activation of stress resistance and oxidative stress mitigation-related pathways, including Betalain biosynthesis, flavonoid biosynthesis, tryptophan metabolism, and arginine metabolism. Multi-omics integration analysis identified soil EC and total potassium (TK) as key environmental factors driving the differentiation of microbial and metabolite communities. Key differential metabolites showed significant positive correlations with saline-alkaline-enriched microbial taxa (e.g., Sphingomonas), revealing a metabolite-mediated microbial recruitment mechanism. This study, through multi-omics analysis, discovered that the maize rhizosphere, under saline-alkaline stress, undergoes metabolic reprogramming (e.g., enriching defensive metabolites like Cajanol) to directionally recruit beneficial bacteria such as Sphingomonas and maintains higher bacterial network complexity, while also leading to the pathologization of the fungal community. Our study reveals that maize recruits beneficial microbes via rhizosphere metabolic reprogramming, providing a mechanistic basis for microbiome-assisted saline-alkaline soil remediation.</p>
2026-06-08 | MTBLS13956 | MetaboLights
Project description:soil sample in Northeast China Raw sequence reads
| PRJNA427737 | ENA