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The Aboveground Vegetation Type and Underground Soil Property Mediate the Divergence of Soil Microbiomes and the Biological Interactions

Overview of attention for article published in Microbial Ecology, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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46 Mendeley
Title
The Aboveground Vegetation Type and Underground Soil Property Mediate the Divergence of Soil Microbiomes and the Biological Interactions
Published in
Microbial Ecology, August 2017
DOI 10.1007/s00248-017-1050-7
Pubmed ID
Authors

Shu-Hong Wu, Bing-Hong Huang, Chia-Lung Huang, Gang Li, Pei-Chun Liao

Abstract

The composition of the soil microbiome is influenced by environmental (abiotic) variables and biological interactions (biotic factors). To determine whether the aboveground vegetation and soil physicochemical properties were the main determinant of beta-diversity and biological interaction of soil microbial community, we sampled soils from the temperate coniferous forest and grassland. Clustering of operational taxonomic units was conducted using 16S rRNA gene. We found that the microbial composition of the rhizospheres, in which root exudates influence the microbial environment, show lower alpha-diversity than that of nonroot soils. The nonsignificant rhizosphere effect suggested other undetermined factors or stochastic processes accounted for microbial diversity in the rhizosphere. More significant microbe-microbe interactions were observed in forest and rhizosphere soils relative to the grassland soils. The elevated number of positive correlations for relative abundances in forest soil implied beneficial associations being common among bacteria, in particular within the rhizosphere environment. The particular soil properties generated by root exudates also alter the physicochemical properties of soil such as K and pH value, and might in turn favor the adoption of teamwork-cooperation strategies for microbe-microbe interactions, represented as large clusters of positive associations among bacterial taxa. Specific biological interactions differentiated the microbiomes within forest soils. Thus, the environmental selection pressure of aboveground vegetation accounts for differences between soil microbiomes while biotic factors are responsible for fine-scale differences of the microbial community in forest soils.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 8 17%
Student > Doctoral Student 6 13%
Researcher 5 11%
Unspecified 3 7%
Other 9 20%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 43%
Environmental Science 5 11%
Biochemistry, Genetics and Molecular Biology 4 9%
Unspecified 3 7%
Chemistry 2 4%
Other 3 7%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 January 2019.
All research outputs
#4,024,493
of 22,996,001 outputs
Outputs from Microbial Ecology
#413
of 2,064 outputs
Outputs of similar age
#71,401
of 317,441 outputs
Outputs of similar age from Microbial Ecology
#16
of 53 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,064 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,441 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.