Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1180721 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31213744.fastq.gz | Fastqsanger.gz | |||
| SRR31213745.fastq.gz | Fastqsanger.gz | |||
| SRR31213746.fastq.gz | Fastqsanger.gz | |||
| SRR31213747.fastq.gz | Fastqsanger.gz | |||
| SRR31213748.fastq.gz | Fastqsanger.gz |
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Project description:To study long-term elevated CO2 and enriched N deposition interactive effects on microbial community and soil ecoprocess, here we investigated soil microbial community in a grassland ecosystem subjected to ambient CO2 (aCO2, 368 ppm), elevated CO2 (eCO2, 560 ppm), ambient nitrogen deposition (aN) or elevated nitrogen deposition (eN) treatments for a decade. There exist antagonistic CO2×N interactions on microbial functional genes associated with C, N, P S cycling processes. More strong antagonistic CO2×N interactions are observed on C degradation genes than other genes. Remarkably antagonistic CO2×N interactions on soil microbial communities could enhance soil C accumulation.
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Project description:Tibet is one of the most threatened regions by climate warming, thus understanding how its microbial communities function may be of high importance for predicting microbial responses to climate changes. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, along four sites/elevations of a Tibetan mountainous grassland, aiming to explore potential microbial responses to climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities were distinct for most but not all of the sites. Substantial variations were apparent in stress, N and C cycling genes, but they were in line with the functional roles of these genes. Cold shock genes were more abundant at higher elevations. Also, gdh converting ammonium into urea was more abundant at higher elevations while ureC converting urea into ammonium was less abundant, which was consistent with soil ammonium contents. Significant correlations were observed between N-cycling genes (ureC, gdh and amoA) and nitrous oxide flux, suggesting that they contributed to community metabolism. Lastly, we found by CCA, Mantel tests and the similarity tests that soil pH, temperature, NH4+–N and vegetation diversity accounted for the majority (81.4%) of microbial community variations, suggesting that these four attributes were major factors affecting soil microbial communities. Based on these observations, we predict that climate changes in the Tibetan grasslands are very likely to change soil microbial community functional structure, with particular impacts on microbial N cycling genes and consequently microbe-mediated soil N dynamics.
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Project description:Purpose: The goal of this study is to evaluate transcriptional regulation of the accumulation of phenols and anthocyanins in young leaves of subtropical forest tree species by using NGS-derived RNA-seq. Methods: Leaf mRNA profiles of subtropical tree Schima superba and Cryptocarya concinna grown under contasting light were generated by deep sequencing, in triplicate, using Illumina. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. FPKM produced by RSEM are provided. Results: Assemblies of the sequence data yielded 61,618 and 64,413 unigenes for Schima superba and Cryptocarya concinna,respectively. Overall,75.14% and 66.46% of the unigenes were annotated in the protein database Nonredundant protein (Nr), Nonredundant nucleotide (Nt), Swiss-Prot、Kyoto Encyclopedia of Genes and Genomes (KEGG), Cluster of Orthologous Groups of proteins (COG) and Gene Ontology (GO) for S. superba and C concinna,respectively.A total of 3896, 3488 and 266 genes were differentially expressed in full light-exposed young leaf (FLY), low light-exposed young leaf (LYL) and low light-exposed mature leaf (LML) relative to low light-exposed mature leaf (FML) of S. superba, respectively, and 2097, 2047 and 211 genes were differentially expressed in the corresponding leaves of C. concinna. Conclusions: Our study represents the first detailed analysis of transcriptomes in young and mature leaves of dorminant trees from a subtropical forest in China, with biologic replicates, generated by RNA-seq technology. Photosynthesis-related genes and phenol pathways-related genes were extensively down- and up-regulated in young versus mature leaves of the two species.
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Project description:The response of soil microbial community to climate warming through both function shift and composition reorganization may profoundly influence global nutrient cycles, leading to potential significant carbon release from the terrain to the atmosphere. Despite the observed carbon flux change in northern permafrost, it remains unclear how soil microbial community contributes to this ecosystem alteration. Here, we applied microarray-based GeoChip 4.0 to investigate the functional and compositional response of subsurface (15~25cm) soil microbial community under about one year’s artificial heating (+2°C) in the Carbon in Permafrost Experimental Heating Research site on Alaska’s moist acidic tundra. Statistical analyses of GeoChip signal intensities showed significant microbial function shift in AK samples. Detrended correspondence analysis and dissimilarity tests (MRPP and ANOSIM) indicated significant functional structure difference between the warmed and the control communities. ANOVA revealed that 60% of the 70 detected individual genes in carbon, nitrogen, phosphorous and sulfur cyclings were substantially increased (p<0.05) by heating. 18 out of 33 detected carbon degradation genes were more abundant in warming samples in AK site, regardless of the discrepancy of labile or recalcitrant C, indicating a high temperature sensitivity of carbon degradation genes in rich carbon pool environment. These results demonstrated a rapid response of northern permafrost soil microbial community to warming. Considering the large carbon storage in northern permafrost region, microbial activity in this region may cause dramatic positive feedback to climate change, which is important and necessary to be integrated into climate change models.
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