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Transplanting Soil Microbiomes Leads to Lasting Effects on Willow Growth, but not on the Rhizosphere Microbiome

Overview of attention for article published in Frontiers in Microbiology, December 2015
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Title
Transplanting Soil Microbiomes Leads to Lasting Effects on Willow Growth, but not on the Rhizosphere Microbiome
Published in
Frontiers in Microbiology, December 2015
DOI 10.3389/fmicb.2015.01436
Pubmed ID
Authors

Etienne Yergeau, Terrence H. Bell, Julie Champagne, Christine Maynard, Stacie Tardif, Julien Tremblay, Charles W. Greer

Abstract

Plants interact closely with microbes, which are partly responsible for plant growth, health, and adaptation to stressful environments. Engineering the plant-associated microbiome could improve plant survival and performance in stressful environments such as contaminated soils. Here, willow cuttings were planted into highly petroleum-contaminated soils that had been gamma-irradiated and subjected to one of four treatments: inoculation with rhizosphere soil from a willow that grew well (LA) or sub-optimally (SM) in highly contaminated soils or with bulk soil in which the planted willow had died (DE) or no inoculation (CO). Samples were taken from the starting inoculum, at the beginning of the experiment (T0) and after 100 days of growth (TF). Short hypervariable regions of archaeal/bacterial 16S rRNA genes and the fungal ITS region were amplified from soil DNA extracts and sequenced on the Illumina MiSeq. Willow growth was monitored throughout the experiment, and plant biomass was measured at TF. CO willows were significantly smaller throughout the experiment, while DE willows were the largest at TF. Microbiomes of different treatments were divergent at T0, but for most samples, had converged on highly similar communities by TF. Willow biomass was more strongly linked to overall microbial community structure at T0 than to microbial community structure at TF, and the relative abundance of many genera at T0 was significantly correlated to final willow root and shoot biomass. Although microbial communities had mostly converged at TF, lasting differences in willow growth were observed, probably linked to differences in T0 microbial communities.

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The data shown below were collected from the profiles of 5 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 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
France 1 <1%
Brazil 1 <1%
Unknown 182 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 21%
Student > Master 33 18%
Researcher 31 17%
Student > Doctoral Student 19 10%
Student > Bachelor 16 9%
Other 28 15%
Unknown 20 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 49%
Biochemistry, Genetics and Molecular Biology 27 14%
Environmental Science 19 10%
Immunology and Microbiology 8 4%
Earth and Planetary Sciences 3 2%
Other 7 4%
Unknown 31 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 December 2023.
All research outputs
#14,750,646
of 25,121,016 outputs
Outputs from Frontiers in Microbiology
#11,269
of 28,779 outputs
Outputs of similar age
#196,470
of 401,810 outputs
Outputs of similar age from Frontiers in Microbiology
#172
of 404 outputs
Altmetric has tracked 25,121,016 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 28,779 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 58% 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 401,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 404 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 55% of its contemporaries.