Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

16 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The microbial functional diversity in response to altered precipitation on Tibet Plateau as characterized by GeoChip

ABSTRACT: Global warming substantially changes precipitation patterns in the Tibetan plateau, with projection of increased precipitation in southern and northern Tibet but decreased precipitation in the center. Understanding mechanisms of such changes in greenhouse gas emissions is of vital importance in predicting ecosystem feedbacks to climate changes. Nonetheless, it has been hampered by limited knowledge in soil microbial communities, one of the major drivers of greenhouse gas emission. Here, we report a field experiment simulating drying and wetting conditions in the Tibetan grassland. Our field site is located at the Haibei Alpine Grassland Ecosystem Research Station in the northeast of Tibet Plateau, China, and we employed GeoChip 5.0 180K to analyze microbial responses. 18 samples were collected from 3 plots in Haibei Station, with 6 replicates in each plot

ORGANISM(S): uncultured soil microorganism

SUBMITTER: Haowei Yue

PROVIDER: E-GEOD-82006 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

The microbial functional diversity in response to altered precipitation on Tibet Plateau as characterized by GeoChip

Project description:Global warming substantially changes precipitation patterns in the Tibetan plateau, with projection of increased precipitation in southern and northern Tibet but decreased precipitation in the center. Understanding mechanisms of such changes in greenhouse gas emissions is of vital importance in predicting ecosystem feedbacks to climate changes. Nonetheless, it has been hampered by limited knowledge in soil microbial communities, one of the major drivers of greenhouse gas emission. Here, we report a field experiment simulating drying and wetting conditions in the Tibetan grassland. Our field site is located at the Haibei Alpine Grassland Ecosystem Research Station in the northeast of Tibet Plateau, China, and we employed GeoChip 5.0 180K to analyze microbial responses.

2016-05-28 | GSE82006 | GEO

Dairying supported prehistoric occupation of the highland Tibetan Plateau

Project description:The extreme environments of the Tibetan Plateau offer significant challenges to human survival, demanding novel adaptations. While the role of biological and agricultural adaptations in enabling early human colonization of the plateau has been widely discussed, the contribution of pastoralism is less well understood, especially the dairy pastoralism that has historically been central to Tibetan diets. Here, we analyze preserved proteins from the dental calculus of 40 ancient individuals to report the earliest direct evidence of dairy consumption on the Tibetan Plateau. Our palaeoproteomic results demonstrate that dairy pastoralism began on the higher plateau by approximately 3,500 years ago, more than 2,000 years earlier than the recording of dairying in historical sources. With less than 1% of the Tibetan Plateau dedicated to farmland, pastoralism and the milking of ruminants were essential for large-scale human expansion into agriculturally-marginal regions that make up the majority of the plateau. Dairy pastoralism allowed conversion of abundant grasslands into nutritional human food, which facilitating adaptation in the face of extreme climatic and altitudinal pressures, and maximizing the land area available for long-term human occupation of the “roof of the world”.

2023-03-15 | PXD028538 | Pride

Project description:Tibetan Plateau alpine grassland soil microbial diversity

| PRJNA532293 | ENA

The Microbial Gene Diversity along an Elevation Gradient of the Tibetan Grassland

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+M-bM-^@M-^SN 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. Twelve samples were collected from four elevations (3200, 3400, 3600 and 3800 m) along a Tibetan grassland; Three replicates in every elevation

2013-07-13 | E-GEOD-48820 | biostudies-arrayexpress

soil metagenome

Project description:Qinghai-Tibetan Plateau grassland soil Raw sequence reads

| PRJNA404069 | ENA

Project description:Tibetan Plateau alpine restoration grassland soil microbial diversity

| PRJNA657672 | ENA

The distant Microbial communities in Tibetan alpine meadow based on Geochip 4.0

Project description:Due to its high altitude and extreme climate conditions, the Tibetan plateau is a region vulnerable to the impact of climate changes and anthropogenic perturbation, thus understanding how its microbial communities function may be of high importance. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, aiming to explore potential microbial responses to climate changes and anthropogenic perturbation. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities in treatment site were distinct, compared with those in control site, e.g. shrubland vs grassland, grazing site vs ungrazing site, or warmer site vs colder site. Substantial variations were apparent in stress, N and C cycling genes, but they were in line with the functional roles of these genes.

2013-11-16 | GSE52425 | GEO

Monthly dynamics of microbial functional diversity and composition in a tall-grass prairie, 2012

Project description:We carried out an in-depth analysis of the monthly variations of a temperate grassland ecosystem to examine a range of biotic and abiotic factors that underpin soil respiration changes in response to warming.

2022-02-10 | GSE195490 | GEO

soil metagenome

Project description:Changes in annual precipitation influence bacterial diversity on the Tibetan Plateau

| PRJDB2044 | ENA

A late Middle Pleistocene Denisovan mandible from the Tibetan Plateau

Project description:A dentine sample from a previously unknown hominin specimen deriving from the Tibetan Plateau was analyzed using LC-MS/MS in order to characterize its proteome, protein damage characteristics, and phylogenetic affinities to known Late Pleistocene hominin clades (humans, Neanderthals, Denisovans).

2019-05-08 | PXD011377 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data