Soil metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA451521 | ENA |
REPOSITORIES: ENA
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Project description:Microbes play key roles in diverse biogeochemical processes including nutrient cycling. However, responses of soil microbial community at the functional gene level to long-term fertilization, especially integrated fertilization (chemical combined with organic fertilization) remain unclear. Here we used microarray-based GeoChip techniques to explore the shifts of soil microbial functional community in a nutrient-poor paddy soil with long-term (21 years).The long-term fertilization experiment site (set up in 1990) was located in Taoyuan agro-ecosystem research station (28°55’N, 111°27’E), Chinese Academy of Sciences, Hunan Province, China, with a double-cropped rice system. fertilization at various regimes.
2020-09-19 | GSE104014 | GEO
Project description:soils from long-term manure fertilization in Lethbirdge Targeted loci
| PRJNA390038 | ENA
Project description:Molecular analysis of dissimilatory nitrite reductase genes (nirS) was conducted using a customized microarray containing 165 nirS probes (archetypes) to identify members of sedimentary denitrifying communities. The goal of this study was to examine denitrifying community responses to changing environmental variables over spatial and temporal scales in the New River Estuary (NRE), NC, USA. Multivariate statistical analyses revealed three denitrifier assemblages and uncovered “generalist” and “specialist” archetypes based on the distribution of archetypes within these assemblages. Generalists, archetypes detected in all samples during at least one season, were commonly world-wide found in estuarine and marine ecosystems, comprised 11-29% of the abundant NRE archetypes. Archetypes found in a particular site, “specialists”, were found to co-vary based on site specific conditions. Archetypes specific to the lower estuary in winter were designated Cluster I and significantly correlated by sediment Chl a and porewater Fe2+. A combination of specialist and more widely distributed archetypes formed Clusters II and III, which separated based on salinity and porewater H2S, respectively. The co-occurrence of archetypes correlated with different environmental conditions highlights the importance of habitat type and niche differentiation among denitrifying communities and supports the essential role of individual community members in overall ecosystem function.
2017-05-02 | GSE98190 | GEO
Project description:Masson pine (Pinus massoniana) has evolved some adaptations for growth in low P soils. To elucidate these mechanisms, we investigated global gene expression profiles of the masson pine responding to long-term phosphorus starvation and different Pi levels (P1, 0.01 mM P; P2, 0.06 mM P).
2013-11-30 | GSE52835 | GEO
Project description:Microbes are responsible for cycling carbon (C) through soils, and predicted changes in soil C stocks under climate change are highly sensitive to shifts in the mechanisms assumed to control the microbial physiological response to warming. Two mecha-nisms have been suggested to explain the long-term warming impact on microbial physiology: microbial thermal acclimation and changes in the quantity and quality of substrates available for microbial metabolism. Yet studies disentangling these two mechanisms are lacking. To resolve the drivers of changes in microbial physiology in response to long-term warming, we sampled soils from 13- and 28-year- old soil warming experiments in different seasons. We performed short-term laboratory incubations across a range of temperatures to measure the relationships between temperature sensitivity of physiology (growth, respiration, carbon use efficiency, and extracellular enzyme activity) and the chemical composition of soil organic matter. We observed apparent thermal acclimation of microbial respiration, but only in sum-mer, when warming had exacerbated the seasonally-induced, already small dissolved organic matter pools. Irrespective of warming, greater quantity and quality of soil carbon increased the extracellular enzymatic pool and its temperature sensitivity. We propose that fresh litter input into the system seasonally cancels apparent thermal acclimation of C-cycling processes to decadal warming. Our findings reveal that long-term warming has indirectly affected microbial physiology via reduced C availability in this system, implying that earth system models including these negative feedbacks may be best suited to describe long-term warming effects on these soils. Citation: Domeignoz-Horta LA, Pold G, Erb H, Sebag D, Verrecchia E, Northen T, Louie K, Eloe-Fadrosh E, Pennacchio C, Knorr MA, Frey SD, Melillo JM, DeAngelis KM. Substrate availability and not thermal acclimation controls microbial temperature sensitivity response to long-term warming. Glob Chang Biol. 2023 Mar;29(6):1574-1590. doi: 10.1111/gcb.16544.
The work (proposal:https://doi.org/10.46936/10.25585/60001340) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
2023-08-04 | MSV000092599 | MassIVE
Project description:To explore the mechanism underlying antioxidant activity of extracts from black soybean sprouts 0.5 cm long, Agilent-016772 G. max (Soybean) Oligo Microarray 4x44K was used to compare mRNA expression between the black soybean sprouts 0.5 cm long (n=4) and the black soybean sprouts 5 cm long (n=4). GO term enrichment analysis showed ten up-regulated genes (BE823689.1_567, GMFL01-02-F14-R_381, GMFL01-03-G22-R_364, GMFL01-14-M12-R_553, GMFL01-51-M23-R_265, AW757007.1_297, AW761420.1_260, BI788389.1_501, BQ273202.1_332 and GMFL01-10-I14-F_701) in the 0.5 cm seedlings were associated with response to oxidative stress. qRT-PCR assay confirmed the up-regulation of these ten genes in sprouts 0.5 cm long. In conclusion, these ten genes may contribute to antioxidant activity of sprout extract. Gene expressions in black soybean sprouts were measured using Agilent-016772 G. max (Soybean) Oligo Microarray 4x44K. Four independent experiments were performed in each group using different sprout sample.
2012-08-09 | E-GEOD-40002 | biostudies-arrayexpress