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Characterization of three plant biomass-degrading microbial consortia by metagenomics- and metasecretomics-based approaches

Overview of attention for article published in Applied Microbiology and Biotechnology, July 2016
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Title
Characterization of three plant biomass-degrading microbial consortia by metagenomics- and metasecretomics-based approaches
Published in
Applied Microbiology and Biotechnology, July 2016
DOI 10.1007/s00253-016-7713-3
Pubmed ID
Authors

Diego Javier Jiménez, Maria Julia de Lima Brossi, Julia Schückel, Stjepan Krešimir Kračun, William George Tycho Willats, Jan Dirk van Elsas

Abstract

The selection of microbes by enrichment on plant biomass has been proposed as an efficient way to develop new strategies for lignocellulose saccharification. Here, we report an in-depth analysis of soil-derived microbial consortia that were trained to degrade once-used wheat straw (WS1-M), switchgrass (SG-M) and corn stover (CS-M) under aerobic and mesophilic conditions. Molecular fingerprintings, bacterial 16S ribosomal RNA (rRNA) gene amplicon sequencing and metagenomic analyses showed that the three microbial consortia were taxonomically distinct. Based on the taxonomic affiliation of protein-encoding sequences, members of the Bacteroidetes (e.g. Chryseobacterium, Weeksella, Flavobacterium and Sphingobacterium) were preferentially selected on WS1-M, whereas SG-M and CS-M favoured members of the Proteobacteria (e.g. Caulobacter, Brevundimonas, Stenotrophomonas and Xanthomonas). The highest degradation rates of lignin (~59 %) were observed with SG-M, whereas CS-M showed a high consumption of cellulose and hemicellulose. Analyses of the carbohydrate-active enzymes in the three microbial consortia showed the dominance of glycosyl hydrolases (e.g. of families GH3, GH43, GH13, GH10, GH29, GH28, GH16, GH4 and GH92). In addition, proteins of families AA6, AA10 and AA2 were detected. Analysis of secreted protein fractions (metasecretome) for each selected microbial consortium mainly showed the presence of enzymes able to degrade arabinan, arabinoxylan, xylan, β-glucan, galactomannan and rhamnogalacturonan. Notably, these metasecretomes contain enzymes that enable us to produce oligosaccharides directly from wheat straw, sugarcane bagasse and willow. Thus, the underlying microbial consortia constitute valuable resources for the production of enzyme cocktails for the efficient saccharification of plant biomass.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Belgium 1 <1%
France 1 <1%
Unknown 153 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 19%
Researcher 28 18%
Student > Bachelor 22 14%
Student > Master 20 13%
Student > Doctoral Student 14 9%
Other 17 11%
Unknown 26 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 28%
Biochemistry, Genetics and Molecular Biology 32 20%
Environmental Science 20 13%
Immunology and Microbiology 4 3%
Medicine and Dentistry 4 3%
Other 15 10%
Unknown 38 24%
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 18 July 2016.
All research outputs
#14,105,592
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,242
of 8,034 outputs
Outputs of similar age
#193,282
of 361,551 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#43
of 110 outputs
Altmetric has tracked 24,119,703 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 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% 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 361,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 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 58% of its contemporaries.