Cargando…

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

BACKGROUND: In 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 app...

Descripción completa

Detalles Bibliográficos
Autores principales: Ciric, Milica, Moon, Christina D, Leahy, Sinead C, Creevey, Christopher J, Altermann, Eric, Attwood, Graeme T, Rakonjac, Jasna, Gagic, Dragana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035507/
https://www.ncbi.nlm.nih.gov/pubmed/24886150
http://dx.doi.org/10.1186/1471-2164-15-356
_version_ 1782318057211822080
author Ciric, Milica
Moon, Christina D
Leahy, Sinead C
Creevey, Christopher J
Altermann, Eric
Attwood, Graeme T
Rakonjac, Jasna
Gagic, Dragana
author_facet Ciric, Milica
Moon, Christina D
Leahy, Sinead C
Creevey, Christopher J
Altermann, Eric
Attwood, Graeme T
Rakonjac, Jasna
Gagic, Dragana
author_sort Ciric, Milica
collection PubMed
description BACKGROUND: In 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. RESULTS: By 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. CONCLUSIONS: As 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-356) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4035507
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-40355072014-06-06 Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community Ciric, Milica Moon, Christina D Leahy, Sinead C Creevey, Christopher J Altermann, Eric Attwood, Graeme T Rakonjac, Jasna Gagic, Dragana BMC Genomics Methodology Article BACKGROUND: In 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. RESULTS: By 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. CONCLUSIONS: As 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-356) contains supplementary material, which is available to authorized users. BioMed Central 2014-05-12 /pmc/articles/PMC4035507/ /pubmed/24886150 http://dx.doi.org/10.1186/1471-2164-15-356 Text en © Ciric et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Ciric, Milica
Moon, Christina D
Leahy, Sinead C
Creevey, Christopher J
Altermann, Eric
Attwood, Graeme T
Rakonjac, Jasna
Gagic, Dragana
Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
title Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
title_full Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
title_fullStr Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
title_full_unstemmed Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
title_short Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
title_sort metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035507/
https://www.ncbi.nlm.nih.gov/pubmed/24886150
http://dx.doi.org/10.1186/1471-2164-15-356
work_keys_str_mv AT ciricmilica metasecretomeselectivephagedisplayapproachforminingthefunctionalpotentialofarumenmicrobialcommunity
AT moonchristinad metasecretomeselectivephagedisplayapproachforminingthefunctionalpotentialofarumenmicrobialcommunity
AT leahysineadc metasecretomeselectivephagedisplayapproachforminingthefunctionalpotentialofarumenmicrobialcommunity
AT creeveychristopherj metasecretomeselectivephagedisplayapproachforminingthefunctionalpotentialofarumenmicrobialcommunity
AT altermanneric metasecretomeselectivephagedisplayapproachforminingthefunctionalpotentialofarumenmicrobialcommunity
AT attwoodgraemet metasecretomeselectivephagedisplayapproachforminingthefunctionalpotentialofarumenmicrobialcommunity
AT rakonjacjasna metasecretomeselectivephagedisplayapproachforminingthefunctionalpotentialofarumenmicrobialcommunity
AT gagicdragana metasecretomeselectivephagedisplayapproachforminingthefunctionalpotentialofarumenmicrobialcommunity