Zhejiang Yuhang soil
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ABSTRACT:
PROVIDER: PRJNA417351 | ENA |
REPOSITORIES: ENA
Similar Datasets
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Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
2020-03-06 | GSE146427 | GEO
Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.
2020-01-14 | GSE143587 | GEO
Project description:A/Zhejiang/DTID-ZJU02/2009(H1N1) is a strain of the swine-origin influenza A(H1N1) virus isolated during the human swine flu outbreak of 2009. To analyze the miRNA expression profiles of A549 cells infected with A/Zhejiang/DTID-ZJU02/2009(H1N1) at 0, 24, 48, and 72 h post-infection (hpi) and investigate the relation between the miRNA expression profile and its pathogenesis, Human MicroRNA Array v2.0 was applied. At 24 hpi, 174 miRNAs were detected to change their expression compared with 0 hpi, 28 of them increased and 146 decreased. At 48 hpi, 214 changed miRNAs were detected, 21 of them increased and 193 decreased. At 72 hpi, 282 changed miRNAs were detected, 19 of them increased and 263 decreased. Targets of the 21 significantly differentially expressed miRNAs were analyzed by bioinformatics technology. The function categories of the predicted targets were analyzed by GO(Gene ontology) annotation. The signaling pathways involving the changed miRNAs were analyzed by KEGG(Kyoto Encyclopedia of Genes and Genomes) and GO annotation. Four key signaling pathways were identified, namely, the MAPK, apoptosis, JAK_STAT, and toll-like receptor signaling pathways. The apoptosis and MAPK signaling pathways were activated by all miRNAs, whereas the JAK_STAT and toll-like receptor signaling pathways were activated by some miRNAs but inhibited by the others, suggesting balance in the host–virus interaction. We also constructed and analyzed the protein-protein interaction network of all the predicted targets and found some key nodes. This finding provides a picture of miRNA expression in A549 cells infected with A/Zhejiang/DTID-ZJU02/2009(H1N1) as complete as possible, which may provide important information for investigation of H1N1 pathogenesis and therapeutic method. the miRNA expression profiles of A549 cells infected with A/Zhejiang/DTID-ZJU02/2009(H1N1) at 0, 24, 48, and 72 h post-infection (hpi) were analyzed and the relation between the miRNA expression profile and its pathogenesis was investigated.
2013-11-06 | E-GEOD-52105 | biostudies-arrayexpress
Project description:A/Zhejiang/DTID-ZJU02/2009(H1N1) is a strain of the swine-origin influenza A(H1N1) virus isolated during the human swine flu outbreak of 2009. To analyze the miRNA expression profiles of A549 cells infected with A/Zhejiang/DTID-ZJU02/2009(H1N1) at 0, 24, 48, and 72 h post-infection (hpi) and investigate the relation between the miRNA expression profile and its pathogenesis, Human MicroRNA Array v2.0 was applied. At 24 hpi, 174 miRNAs were detected to change their expression compared with 0 hpi, 28 of them increased and 146 decreased. At 48 hpi, 214 changed miRNAs were detected, 21 of them increased and 193 decreased. At 72 hpi, 282 changed miRNAs were detected, 19 of them increased and 263 decreased. Targets of the 21 significantly differentially expressed miRNAs were analyzed by bioinformatics technology. The function categories of the predicted targets were analyzed by GO(Gene ontology) annotation. The signaling pathways involving the changed miRNAs were analyzed by KEGG(Kyoto Encyclopedia of Genes and Genomes) and GO annotation. Four key signaling pathways were identified, namely, the MAPK, apoptosis, JAK_STAT, and toll-like receptor signaling pathways. The apoptosis and MAPK signaling pathways were activated by all miRNAs, whereas the JAK_STAT and toll-like receptor signaling pathways were activated by some miRNAs but inhibited by the others, suggesting balance in the host–virus interaction. We also constructed and analyzed the protein-protein interaction network of all the predicted targets and found some key nodes. This finding provides a picture of miRNA expression in A549 cells infected with A/Zhejiang/DTID-ZJU02/2009(H1N1) as complete as possible, which may provide important information for investigation of H1N1 pathogenesis and therapeutic method.
2013-11-06 | GSE52105 | GEO
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:To study the soil mcirobial functional communities and the nutrient cycles couplings changes after exposure to different contaminant
2020-12-31 | GSE135153 | GEO
Project description:The present invention relates to methods for determining soil quality, and especially soil pollution, using the invertebrate soil organism Folsomia candida also designated as springtail. Specifically, the present invention relates to a method for determining soil quality comprising: contacting Folsomia Candida with a soil sample to be analysed during a time period of 1 to 5 days; isolating said soil contacted Folsomia Candida; extracting RNA from said isolated soil contacted Folsomia Candida; determing a gene expression profile based on said extracted RNA using microarray technology; comparing said gene expression profile with a reference gene expression profile; and determing soil quality based expression level differences between said gene expression profile and said control expression profile.
2014-07-19 | GSE59588 | GEO