TY  - JOUR
AU  - Ćirić, Milica
AU  - Moon, Christina D.
AU  - Leahy, Sinead C.
AU  - Creevey, Christopher J.
AU  - Altermann, Eric
AU  - Attwood, Graeme T.
AU  - Rakonjac, Jasna
AU  - Gagić, Dragana
PY  - 2014
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/718
AB  - 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.
PB  - BMC, London
T2  - BMC Genomics
T1  - Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community
VL  - 15
DO  - 10.1186/1471-2164-15-356
ER  - 

@article{
author = "Ćirić, Milica and Moon, Christina D. and Leahy, Sinead C. and Creevey, Christopher J. and Altermann, Eric and Attwood, Graeme T. and Rakonjac, Jasna and Gagić, Dragana",
year = "2014",
abstract = "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.",
publisher = "BMC, London",
journal = "BMC Genomics",
title = "Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community",
volume = "15",
doi = "10.1186/1471-2164-15-356"
}

Ćirić, M., Moon, C. D., Leahy, S. C., Creevey, C. J., Altermann, E., Attwood, G. T., Rakonjac, J.,& Gagić, D.. (2014). Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community. in BMC Genomics
BMC, London., 15.
https://doi.org/10.1186/1471-2164-15-356

Ćirić M, Moon CD, Leahy SC, Creevey CJ, Altermann E, Attwood GT, Rakonjac J, Gagić D. Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community. in BMC Genomics. 2014;15.
doi:10.1186/1471-2164-15-356 .

Ćirić, Milica, Moon, Christina D., Leahy, Sinead C., Creevey, Christopher J., Altermann, Eric, Attwood, Graeme T., Rakonjac, Jasna, Gagić, Dragana, "Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community" in BMC Genomics, 15 (2014),
https://doi.org/10.1186/1471-2164-15-356 . .