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Items: 1 to 20 of 108

1.

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

Ciric M, Moon CD, Leahy SC, Creevey CJ, Altermann E, Attwood GT, Rakonjac J, Gagic D.

BMC Genomics. 2014 May 12;15:356. doi: 10.1186/1471-2164-15-356.

2.

Metagenomic insights into the fibrolytic microbiome in yak rumen.

Dai X, Zhu Y, Luo Y, Song L, Liu D, Liu L, Chen F, Wang M, Li J, Zeng X, Dong Z, Hu S, Li L, Xu J, Huang L, Dong X.

PLoS One. 2012;7(7):e40430. doi: 10.1371/journal.pone.0040430. Epub 2012 Jul 13.

3.

Phage-bacteria relationships and CRISPR elements revealed by a metagenomic survey of the rumen microbiome.

Berg Miller ME, Yeoman CJ, Chia N, Tringe SG, Angly FE, Edwards RA, Flint HJ, Lamed R, Bayer EA, White BA.

Environ Microbiol. 2012 Jan;14(1):207-27. doi: 10.1111/j.1462-2920.2011.02593.x. Epub 2011 Oct 17.

PMID:
22004549
4.

Metagenomic analysis of Surti buffalo (Bubalus bubalis) rumen: a preliminary study.

Singh KM, Ahir VB, Tripathi AK, Ramani UV, Sajnani M, Koringa PG, Jakhesara S, Pandya PR, Rank DN, Murty DS, Kothari RK, Joshi CG.

Mol Biol Rep. 2012 Apr;39(4):4841-8. doi: 10.1007/s11033-011-1278-0. Epub 2011 Sep 27.

PMID:
21947953
5.

Next generation sequencing to define prokaryotic and fungal diversity in the bovine rumen.

Fouts DE, Szpakowski S, Purushe J, Torralba M, Waterman RC, MacNeil MD, Alexander LJ, Nelson KE.

PLoS One. 2012;7(11):e48289. doi: 10.1371/journal.pone.0048289. Epub 2012 Nov 7.

6.

Metagenomic analysis of virulence-associated and antibiotic resistance genes of microbes in rumen of Indian buffalo (Bubalus bubalis).

Singh KM, Jakhesara SJ, Koringa PG, Rank DN, Joshi CG.

Gene. 2012 Oct 10;507(2):146-51. doi: 10.1016/j.gene.2012.07.037. Epub 2012 Jul 28.

PMID:
22850272
7.

Metagenomic discovery of biomass-degrading genes and genomes from cow rumen.

Hess M, Sczyrba A, Egan R, Kim TW, Chokhawala H, Schroth G, Luo S, Clark DS, Chen F, Zhang T, Mackie RI, Pennacchio LA, Tringe SG, Visel A, Woyke T, Wang Z, Rubin EM.

Science. 2011 Jan 28;331(6016):463-7. doi: 10.1126/science.1200387.

8.

First insights into the microbial diversity in the omasum and reticulum of bovine using Illumina sequencing.

Peng S, Yin J, Liu X, Jia B, Chang Z, Lu H, Jiang N, Chen Q.

J Appl Genet. 2015 Aug;56(3):393-401. doi: 10.1007/s13353-014-0258-1. Epub 2015 Jan 21.

9.

High throughput whole rumen metagenome profiling using untargeted massively parallel sequencing.

Ross EM, Moate PJ, Bath CR, Davidson SE, Sawbridge TI, Guthridge KM, Cocks BG, Hayes BJ.

BMC Genet. 2012 Jul 2;13:53. doi: 10.1186/1471-2156-13-53.

10.

A method for purifying high quality and high yield plasmid DNA for metagenomic and deep sequencing approaches.

Brown Kav A, Benhar I, Mizrahi I.

J Microbiol Methods. 2013 Nov;95(2):272-9. doi: 10.1016/j.mimet.2013.09.008. Epub 2013 Sep 17.

PMID:
24055388
11.

Metagenomics of rumen bacteriophage from thirteen lactating dairy cattle.

Ross EM, Petrovski S, Moate PJ, Hayes BJ.

BMC Microbiol. 2013 Nov 1;13:242. doi: 10.1186/1471-2180-13-242.

12.
13.

MetCap: a bioinformatics probe design pipeline for large-scale targeted metagenomics.

Kushwaha SK, Manoharan L, Meerupati T, Hedlund K, Ahrén D.

BMC Bioinformatics. 2015 Feb 28;16:65. doi: 10.1186/s12859-015-0501-8. Erratum in: BMC Bioinformatics. 2016;17:39.

14.

PanFP: pangenome-based functional profiles for microbial communities.

Jun SR, Robeson MS, Hauser LJ, Schadt CW, Gorin AA.

BMC Res Notes. 2015 Sep 26;8:479. doi: 10.1186/s13104-015-1462-8.

15.

Marine Metagenome as A Resource for Novel Enzymes.

Alma'abadi AD, Gojobori T, Mineta K.

Genomics Proteomics Bioinformatics. 2015 Oct;13(5):290-5. doi: 10.1016/j.gpb.2015.10.001. Epub 2015 Nov 10. Review.

16.

Metagenomics of the Svalbard reindeer rumen microbiome reveals abundance of polysaccharide utilization loci.

Pope PB, Mackenzie AK, Gregor I, Smith W, Sundset MA, McHardy AC, Morrison M, Eijsink VG.

PLoS One. 2012;7(6):e38571. doi: 10.1371/journal.pone.0038571. Epub 2012 Jun 6. Erratum in: PLoS One. 2014;9(7):e104612.

17.

Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases.

Brulc JM, Antonopoulos DA, Miller ME, Wilson MK, Yannarell AC, Dinsdale EA, Edwards RE, Frank ED, Emerson JB, Wacklin P, Coutinho PM, Henrissat B, Nelson KE, White BA.

Proc Natl Acad Sci U S A. 2009 Feb 10;106(6):1948-53. doi: 10.1073/pnas.0806191105. Epub 2009 Jan 30.

18.

Identification and characterization of a cellulase-encoding gene from the buffalo rumen metagenomic library.

Nguyen NH, Maruset L, Uengwetwanit T, Mhuantong W, Harnpicharnchai P, Champreda V, Tanapongpipat S, Jirajaroenrat K, Rakshit SK, Eurwilaichitr L, Pongpattanakitshote S.

Biosci Biotechnol Biochem. 2012;76(6):1075-84. Epub 2012 Jun 7.

19.

MetaID: a novel method for identification and quantification of metagenomic samples.

Srinivasan SM, Guda C.

BMC Genomics. 2013;14 Suppl 8:S4. doi: 10.1186/1471-2164-14-S8-S4. Epub 2013 Dec 9.

20.

Probabilistic inference of biochemical reactions in microbial communities from metagenomic sequences.

Jiao D, Ye Y, Tang H.

PLoS Comput Biol. 2013;9(3):e1002981. doi: 10.1371/journal.pcbi.1002981. Epub 2013 Mar 21.

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