Journal ArticleDOI
Soil pH drives the spatial distribution of bacterial communities along elevation on Changbai Mountain
Congcong Shen,Jinbo Xiong,Huayong Zhang,Youzhi Feng,Xiangui Lin,Xinyu Li,Wenju Liang,Haiyan Chu +7 more
TLDR
A comprehensive analysis of soil bacterial community composition and diversity along six elevations representing six typical vegetation types from forest to alpine tundra using a bar-coded pyrosequencing technique suggests that pH is a better predictor of soilacterial elevational distribution and also suggests that vegetation types may indirectly affect soil bacterial Elevational distribution through altering soil C and N status.Abstract:
The elevational patterns of diversity for plants and animals have been well established over the past century. However, it is unclear whether there is a general elevational distribution pattern for microbes. Changbai Mountain is one of few well conserved natural ecosystems, where the vertical distribution of vegetation is known to mirror the vegetation horizontal zonation from temperate to frigid zones on the Eurasian continent. Here, we present a comprehensive analysis of soil bacterial community composition and diversity along six elevations representing six typical vegetation types from forest to alpine tundra using a bar-coded pyrosequencing technique. The bacterial communities differed dramatically along elevations (vegetation types), and the community composition was significantly correlated with soil pH, carbon/nitrogen ratio (C/N), moisture or total organic carbon (TOC), respectively. Phylogenetic diversity was positively correlated with soil pH ( P = 0.024), while phylotype richness was positively correlated with soil pH ( P = 0.004), total nitrogen (TN) ( P = 0.030), and negatively correlated with C/N ratio ( P = 0.021). Our results emphasize that pH is a better predictor of soil bacterial elevational distribution and also suggest that vegetation types may indirectly affect soil bacterial elevational distribution through altering soil C and N status.read more
Citations
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Bacterial diversity in soils subjected to long-term chemical fertilization can be more stably maintained with the addition of livestock manure than wheat straw
TL;DR: The data implicate the role of livestock manures in preventing the loss of bacterial diversity during long-term chemical fertilization, and highlight pH as the major deterministic factor for soil bacterial community structure.
Journal ArticleDOI
Forest Soil Bacteria: Diversity, Involvement in Ecosystem Processes, and Response to Global Change
TL;DR: Bacteria contribute to a range of essential soil processes involved in the cycling of carbon, nitrogen, and phosphorus, and mediate multiple critical steps in the nitrogen cycle, including N fixation.
Journal ArticleDOI
Biochar Impacts Soil Microbial Community Composition and Nitrogen Cycling in an Acidic Soil Planted with Rape
TL;DR: Results of redundancy analysis indicated biochar could shift the soil microbial community by changing soil chemical properties, which modulate N-cycling processes and soil N2O emissions.
Journal ArticleDOI
Soil bacterial community dynamics reflect changes in plant community and soil properties during the secondary succession of abandoned farmland in the Loess Plateau
TL;DR: In this article, the authors investigated the changes in soil properties and plant and soil microbial communities during the secondary succession on abandoned cropland in the Loess Plateau of China using high-throughput sequencing of the 16S rRNA gene.
Journal ArticleDOI
High throughput sequencing analysis of biogeographical distribution of bacterial communities in the black soils of northeast China
TL;DR: Wang et al. as discussed by the authors collected 26 soil samples with different soil carbon contents across the black soil zone in northeast China, and the soil bacterial community compositions were estimated using high resolution bar-coded pyrosequencing.
References
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Journal ArticleDOI
QIIME allows analysis of high-throughput community sequencing data.
J. Gregory Caporaso,Justin Kuczynski,Jesse Stombaugh,Kyle Bittinger,Frederic D. Bushman,Elizabeth K. Costello,Noah Fierer,Antonio Gonzalez Peña,Julia K. Goodrich,Jeffrey I. Gordon,Gavin A. Huttley,Scott T. Kelley,Dan Knights,Jeremy E. Koenig,Ruth E. Ley,Catherine A. Lozupone,Daniel McDonald,Brian D. Muegge,Meg Pirrung,Jens Reeder,Joel Sevinsky,Peter J. Turnbaugh,William A. Walters,Jeremy Widmann,Tanya Yatsunenko,Jesse R. Zaneveld,Rob Knight,Rob Knight +27 more
TL;DR: An overview of the analysis pipeline and links to raw data and processed output from the runs with and without denoising are provided.
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An Examination of the Degtjareff Method for Determining Soil Organic Matter, and a Proposed Modification of the Chromic Acid Titration Method
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Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
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Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
Weizhong Li,Adam Godzik +1 more
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Chloroform fumigation and the release of soil nitrogen: A rapid direct extraction method to measure microbial biomass nitrogen in soil
TL;DR: In this paper, a direct extraction method for measuring soil microbial biomass nitrogen (biomass N) is described, which is based on CHC13 fumigation, followed by immediate extraction with 0.5 M K2SO4 and measurement of total N released by CHC 13 in the soil extracts.
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