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Metagenomic analysis of the microbiota in the highly compartmented hindguts of six wood- or soil-feeding higher termites

Overview of attention for article published in Microbiome, November 2015
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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 (79th percentile)

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Title
Metagenomic analysis of the microbiota in the highly compartmented hindguts of six wood- or soil-feeding higher termites
Published in
Microbiome, November 2015
DOI 10.1186/s40168-015-0118-1
Pubmed ID
Authors

Karen Rossmassler, Carsten Dietrich, Claire Thompson, Aram Mikaelyan, James O. Nonoh, Rudolf H. Scheffrahn, David Sillam-Dussès, Andreas Brune

Abstract

Termites are important contributors to carbon and nitrogen cycling in tropical ecosystems. Higher termites digest lignocellulose in various stages of humification with the help of an entirely prokaryotic microbiota housed in their compartmented intestinal tract. Previous studies revealed fundamental differences in community structure between compartments, but the functional roles of individual lineages in symbiotic digestion are mostly unknown. Here, we conducted a highly resolved analysis of the gut microbiota in six species of higher termites that feed on plant material at different levels of humification. Combining amplicon sequencing and metagenomics, we assessed similarities in community structure and functional potential between the major hindgut compartments (P1, P3, and P4). Cluster analysis of the relative abundances of orthologous gene clusters (COGs) revealed high similarities among wood- and litter-feeding termites and strong differences to humivorous species. However, abundance estimates of bacterial phyla based on 16S rRNA genes greatly differed from those based on protein-coding genes. Community structure and functional potential of the microbiota in individual gut compartments are clearly driven by the digestive strategy of the host. The metagenomics libraries obtained in this study provide the basis for future studies that elucidate the fundamental differences in the symbiont-mediated breakdown of lignocellulose and humus by termites of different feeding groups. The high proportion of uncultured bacterial lineages in all samples calls for a reference-independent approach for the correct taxonomic assignment of protein-coding genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Canada 1 <1%
Thailand 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 146 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 21%
Researcher 23 15%
Student > Master 23 15%
Student > Bachelor 17 11%
Student > Doctoral Student 10 7%
Other 24 16%
Unknown 23 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 48%
Biochemistry, Genetics and Molecular Biology 29 19%
Environmental Science 11 7%
Immunology and Microbiology 6 4%
Chemistry 4 3%
Other 6 4%
Unknown 23 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 December 2017.
All research outputs
#5,507,692
of 25,732,188 outputs
Outputs from Microbiome
#1,457
of 1,792 outputs
Outputs of similar age
#82,587
of 395,566 outputs
Outputs of similar age from Microbiome
#26
of 34 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.4. This one is in the 18th percentile – i.e., 18% 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 395,566 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 79% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.