Evidence map›Paper›PMID 24886150›Full record

ArticleBMC genomics2014

Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community.

Milica Ciric, Christina D Moon, Sinead C Leahy, Christopher J Creevey, Eric Altermann, Graeme T Attwood, Jasna Rakonjac, Dragana Gagic

Abstract read
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Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Milica Ciric
Christina D Moon
Sinead C Leahy
Christopher J Creevey
Eric Altermann
Graeme T Attwood
Jasna RakonjacAnimal Nutrition and Health, AgResearch Ltd, Palmerston North 4442, New Zealand. j.rakonjac@massey.ac.nz.
Dragana Gagic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn silico, secretome proteins can be predicted from completely sequenced genomes using various available algorithms that identify membrane-targeting sequences. For metasecretome (collection of surface, secreted and transmembrane proteins from environmental microbial communities) this approach is impractical, considering that the metasecretome open reading frames (ORFs) comprise only 10% to 30% of total metagenome, and are poorly represented in the dataset due to overall low coverage of metagenomic gene pool, even in large-scale projects.

resultsBy combining secretome-selective phage display and next-generation sequencing, we focused the sequence analysis of complex rumen microbial community on the metasecretome component of the metagenome. This approach achieved high enrichment (29 fold) of secreted fibrolytic enzymes from the plant-adherent microbial community of the bovine rumen. In particular, we identified hundreds of heretofore rare modules belonging to cellulosomes, cell-surface complexes specialised for recognition and degradation of the plant fibre.

conclusionsAs a method, metasecretome phage display combined with next-generation sequencing has a power to sample the diversity of low-abundance surface and secreted proteins that would otherwise require exceptionally large metagenomic sequencing projects. As a resource, metasecretome display library backed by the dataset obtained by next-generation sequencing is ready for i) affinity selection by standard phage display methodology and ii) easy purification of displayed proteins as part of the virion for individual functional analysis.

Indexed as

Cell Surface Display TechniquesAnimalsBacteriophagesCattleCellulosomesDatabases, ProteinHigh-Throughput Nucleotide SequencingMetagenomeMetagenomicsOpen Reading FramesRumenSequence Analysis, DNA

Identifiers

PMID24886150
PMCPMC4035507

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.