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Divergent functional isoforms drive niche specialisation for nutrient acquisition and use in rumen microbiome

Overview of attention for article published in The ISME Journal, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 news outlet
blogs
2 blogs
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15 X users

Citations

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59 Dimensions

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104 Mendeley
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Title
Divergent functional isoforms drive niche specialisation for nutrient acquisition and use in rumen microbiome
Published in
The ISME Journal, January 2017
DOI 10.1038/ismej.2016.172
Pubmed ID
Authors

Francesco Rubino, Ciara Carberry, Sinéad M Waters, David Kenny, Matthew S McCabe, Christopher J Creevey

Abstract

Many microbes in complex competitive environments share genes for acquiring and utilising nutrients, questioning whether niche specialisation exists and if so, how it is maintained. We investigated the genomic signatures of niche specialisation in the rumen microbiome, a highly competitive, anaerobic environment, with limited nutrient availability determined by the biomass consumed by the host. We generated individual metagenomic libraries from 14 cows fed an ad libitum diet of grass silage and calculated functional isoform diversity for each microbial gene identified. The animal replicates were used to calculate confidence intervals to test for differences in diversity of functional isoforms between microbes that may drive niche specialisation. We identified 153 genes with significant differences in functional isoform diversity between the two most abundant bacterial genera in the rumen (Prevotella and Clostridium). We found Prevotella possesses a more diverse range of isoforms capable of degrading hemicellulose, whereas Clostridium for cellulose. Furthermore, significant differences were observed in key metabolic processes indicating that isoform diversity plays an important role in maintaining their niche specialisation. The methods presented represent a novel approach for untangling complex interactions between microorganisms in natural environments and have resulted in an expanded catalogue of gene targets central to rumen cellulosic biomass degradation.The ISME Journal advance online publication, 13 January 2017; doi:10.1038/ismej.2016.172.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 103 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 24%
Student > Ph. D. Student 19 18%
Student > Master 14 13%
Professor 7 7%
Student > Doctoral Student 6 6%
Other 14 13%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 43%
Biochemistry, Genetics and Molecular Biology 10 10%
Immunology and Microbiology 5 5%
Veterinary Science and Veterinary Medicine 4 4%
Environmental Science 4 4%
Other 13 13%
Unknown 23 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 06 May 2018.
All research outputs
#1,324,339
of 25,457,858 outputs
Outputs from The ISME Journal
#593
of 3,274 outputs
Outputs of similar age
#27,358
of 424,020 outputs
Outputs of similar age from The ISME Journal
#16
of 70 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done well, scoring higher than 81% 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 424,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.