Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 18

1.

Dietary supplemental plant oils reduce methanogenesis from anaerobic microbial fermentation in the rumen.

Vargas JE, Andrés S, López-Ferreras L, Snelling TJ, Yáñez-Ruíz DR, García-Estrada C, López S.

Sci Rep. 2020 Jan 31;10(1):1613. doi: 10.1038/s41598-020-58401-z.

2.

Postmortem observations on rumen wall histology and gene expression and ruminal and caecal content of beef cattle fattened on barley-based rations.

Jonsson NN, Ferguson HJ, Koh-Tan HHC, McCartney CA, Cernat RC, Strachan EM, Thomson W, Snelling TJ, Harvey CD, Andonovic I, Michie C, Wallace RJ.

Animal. 2019 Dec 26:1-14. doi: 10.1017/S1751731119002878. [Epub ahead of print]

PMID:
31875798
3.

Identification of Rumen Microbial Genes Involved in Pathways Linked to Appetite, Growth, and Feed Conversion Efficiency in Cattle.

Lima J, Auffret MD, Stewart RD, Dewhurst RJ, Duthie CA, Snelling TJ, Walker AW, Freeman TC, Watson M, Roehe R.

Front Genet. 2019 Aug 8;10:701. doi: 10.3389/fgene.2019.00701. eCollection 2019.

4.

A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions.

Wallace RJ, Sasson G, Garnsworthy PC, Tapio I, Gregson E, Bani P, Huhtanen P, Bayat AR, Strozzi F, Biscarini F, Snelling TJ, Saunders N, Potterton SL, Craigon J, Minuti A, Trevisi E, Callegari ML, Cappelli FP, Cabezas-Garcia EH, Vilkki J, Pinares-Patino C, Fliegerová KO, Mrázek J, Sechovcová H, Kopečný J, Bonin A, Boyer F, Taberlet P, Kokou F, Halperin E, Williams JL, Shingfield KJ, Mizrahi I.

Sci Adv. 2019 Jul 3;5(7):eaav8391. doi: 10.1126/sciadv.aav8391. eCollection 2019 Jul.

5.

MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs).

Stewart RD, Auffret MD, Snelling TJ, Roehe R, Watson M.

Bioinformatics. 2019 Jun 1;35(12):2150-2152. doi: 10.1093/bioinformatics/bty905.

6.

Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future.

Huws SA, Creevey CJ, Oyama LB, Mizrahi I, Denman SE, Popova M, Muñoz-Tamayo R, Forano E, Waters SM, Hess M, Tapio I, Smidt H, Krizsan SJ, Yáñez-Ruiz DR, Belanche A, Guan L, Gruninger RJ, McAllister TA, Newbold CJ, Roehe R, Dewhurst RJ, Snelling TJ, Watson M, Suen G, Hart EH, Kingston-Smith AH, Scollan ND, do Prado RM, Pilau EJ, Mantovani HC, Attwood GT, Edwards JE, McEwan NR, Morrisson S, Mayorga OL, Elliott C, Morgavi DP.

Front Microbiol. 2018 Sep 25;9:2161. doi: 10.3389/fmicb.2018.02161. eCollection 2018. Review.

7.

Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen.

Stewart RD, Auffret MD, Warr A, Wiser AH, Press MO, Langford KW, Liachko I, Snelling TJ, Dewhurst RJ, Walker AW, Roehe R, Watson M.

Nat Commun. 2018 Feb 28;9(1):870. doi: 10.1038/s41467-018-03317-6.

8.

Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets.

Auffret MD, Stewart R, Dewhurst RJ, Duthie CA, Rooke JA, Wallace RJ, Freeman TC, Snelling TJ, Watson M, Roehe R.

Front Microbiol. 2018 Jan 9;8:2642. doi: 10.3389/fmicb.2017.02642. eCollection 2017.

9.

Effect of Sunflower and Marine Oils on Ruminal Microbiota, In vitro Fermentation and Digesta Fatty Acid Profile.

Vargas JE, Andrés S, Snelling TJ, López-Ferreras L, Yáñez-Ruíz DR, García-Estrada C, López S.

Front Microbiol. 2017 Jun 20;8:1124. doi: 10.3389/fmicb.2017.01124. eCollection 2017.

10.

Erratum to: Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism.

Wallace RJ, Snelling TJ, McCartney CA, Tapio I, Strozzi F.

Genet Sel Evol. 2017 Feb 28;49(1):27. doi: 10.1186/s12711-017-0304-7. No abstract available.

11.

The ruminal microbiome associated with methane emissions from ruminant livestock.

Tapio I, Snelling TJ, Strozzi F, Wallace RJ.

J Anim Sci Biotechnol. 2017 Jan 19;8:7. doi: 10.1186/s40104-017-0141-0. eCollection 2017. Review.

12.

Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism.

Wallace RJ, Snelling TJ, McCartney CA, Tapio I, Strozzi F.

Genet Sel Evol. 2017 Jan 16;49(1):9. doi: 10.1186/s12711-017-0285-6. Review. Erratum in: Genet Sel Evol. 2017 Feb 28;49(1):27.

13.

The rumen microbial metaproteome as revealed by SDS-PAGE.

Snelling TJ, Wallace RJ.

BMC Microbiol. 2017 Jan 7;17(1):9. doi: 10.1186/s12866-016-0917-y.

14.

Oral Samples as Non-Invasive Proxies for Assessing the Composition of the Rumen Microbial Community.

Tapio I, Shingfield KJ, McKain N, Bonin A, Fischer D, Bayat AR, Vilkki J, Taberlet P, Snelling TJ, Wallace RJ.

PLoS One. 2016 Mar 17;11(3):e0151220. doi: 10.1371/journal.pone.0151220. eCollection 2016.

15.

Diversity and community composition of methanogenic archaea in the rumen of Scottish upland sheep assessed by different methods.

Snelling TJ, Genç B, McKain N, Watson M, Waters SM, Creevey CJ, Wallace RJ.

PLoS One. 2014 Sep 24;9(9):e106491. doi: 10.1371/journal.pone.0106491. eCollection 2014.

16.

Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle.

Wallace RJ, Rooke JA, Duthie CA, Hyslop JJ, Ross DW, McKain N, de Souza SM, Snelling TJ, Waterhouse A, Roehe R.

Sci Rep. 2014 Jul 31;4:5892. doi: 10.1038/srep05892.

17.

Differential recovery of bacterial and archaeal 16S rRNA genes from ruminal digesta in response to glycerol as cryoprotectant.

McKain N, Genc B, Snelling TJ, Wallace RJ.

J Microbiol Methods. 2013 Dec;95(3):381-3. doi: 10.1016/j.mimet.2013.10.009. Epub 2013 Oct 24.

PMID:
24161897
18.

Isolation of Streptococcus thoraltensis from rabbit faeces.

Borø S, McCartney CA, Snelling TJ, Worgan HJ, McEwan NR.

Curr Microbiol. 2010 Oct;61(4):357-60. doi: 10.1007/s00284-010-9619-0. Epub 2010 Mar 9.

PMID:
20217090

Supplemental Content

Loading ...
Support Center