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Cellulolytic potential under environmental changes in microbial communities from grassland litter

Overview of attention for article published in Frontiers in Microbiology, November 2014
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Title
Cellulolytic potential under environmental changes in microbial communities from grassland litter
Published in
Frontiers in Microbiology, November 2014
DOI 10.3389/fmicb.2014.00639
Pubmed ID
Authors

Renaud Berlemont, Steven D. Allison, Claudia Weihe, Ying Lu, Eoin L. Brodie, Jennifer B. H. Martiny, Adam C. Martiny

Abstract

In many ecosystems, global changes are likely to profoundly affect microorganisms. In Southern California, changes in precipitation and nitrogen deposition may influence the composition and functional potential of microbial communities and their resulting ability to degrade plant material. To test whether such environmental changes impact the distribution of functional groups involved in leaf litter degradation, we determined how the genomic diversity of microbial communities in a semi-arid grassland ecosystem changed under reduced precipitation or increased N deposition. We monitored communities seasonally over a period of 2 years to place environmental change responses into the context of natural variation. Fungal and bacterial communities displayed strong seasonal patterns, Fungi being mostly detected during the dry season whereas Bacteria were common during wet periods. Most putative cellulose degraders were associated with 33 bacterial genera and predicted to constitute 18% of the microbial community. Precipitation reduction reduced bacterial abundance and cellulolytic potential whereas nitrogen addition did not affect the cellulolytic potential of the microbial community. Finally, we detected a strong correlation between the frequencies of genera of putative cellulose degraders and cellulase genes. Thus, microbial taxonomic composition was predictive of cellulolytic potential. This work provides a framework for how environmental changes affect microorganisms responsible for plant litter deconstruction.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Brazil 2 1%
Canada 1 <1%
France 1 <1%
China 1 <1%
Argentina 1 <1%
Unknown 127 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 22%
Researcher 25 18%
Student > Doctoral Student 14 10%
Professor > Associate Professor 10 7%
Student > Master 9 7%
Other 26 19%
Unknown 23 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 45%
Environmental Science 14 10%
Biochemistry, Genetics and Molecular Biology 12 9%
Immunology and Microbiology 6 4%
Engineering 4 3%
Other 9 7%
Unknown 31 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 December 2014.
All research outputs
#14,680,831
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#12,924
of 25,939 outputs
Outputs of similar age
#196,199
of 365,559 outputs
Outputs of similar age from Frontiers in Microbiology
#117
of 206 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,939 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 365,559 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.