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Divergent taxonomic and functional responses of microbial communities to field simulation of aeolian soil erosion and deposition

Overview of attention for article published in Molecular Ecology, July 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Divergent taxonomic and functional responses of microbial communities to field simulation of aeolian soil erosion and deposition
Published in
Molecular Ecology, July 2017
DOI 10.1111/mec.14194
Pubmed ID
Authors

Xingyu Ma, Cancan Zhao, Ying Gao, Bin Liu, Tengxu Wang, Tong Yuan, Lauren Hale, Joy D. Van Nostrand, Shiqiang Wan, Jizhong Zhou, Yunfeng Yang

Abstract

Aeolian soil erosion and deposition have worldwide impacts on agriculture, air quality and public health. However, ecosystem responses to soil erosion and deposition remain largely unclear in regard to microorganisms, which are the crucial drivers of biogeochemical cycles. Using integrated metagenomics technologies, we analyzed microbial communities subjected to simulated soil erosion and deposition in a semiarid grassland of Inner Mongolia, China. As expected, soil total organic carbon and plant coverage were decreased by soil erosion, and soil dissolved organic carbon (DOC) was increased by soil deposition, demonstrating that field simulation was reliable. Soil microbial communities were altered (P<0.039) by both soil erosion and deposition, with dramatic increase in Cyanobacteria related to increased stability in soil aggregates. amyA genes encoding α-amylases were specifically increased (P=0.01) by soil deposition and positively correlated (P=0.02) to DOC, which likely explained changes in DOC. Surprisingly, most of microbial functional genes associated with carbon, nitrogen, phosphorus and potassium cycling were decreased or unaltered by both erosion and deposition, probably arising from acceleration of organic matter mineralization. These divergent responses support the necessity to include microbial components in evaluating ecological consequences. Furthermore, Mantel tests showed strong, significant correlations between soil nutrients and functional structure but not taxonomic structure, demonstrating close relevance of microbial function traits to nutrient cycling. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 43%
Student > Master 6 13%
Researcher 4 9%
Student > Postgraduate 3 6%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Unspecified 12 26%
Agricultural and Biological Sciences 12 26%
Environmental Science 6 13%
Earth and Planetary Sciences 3 6%
Medicine and Dentistry 2 4%
Other 3 6%
Unknown 9 19%
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 03 June 2017.
All research outputs
#4,341,929
of 24,542,484 outputs
Outputs from Molecular Ecology
#2,252
of 6,578 outputs
Outputs of similar age
#70,894
of 316,820 outputs
Outputs of similar age from Molecular Ecology
#51
of 101 outputs
Altmetric has tracked 24,542,484 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 6,578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 65% 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 316,820 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 101 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.