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Items: 1 to 20 of 86

1.

Effects of dietary fiber on the feline gastrointestinal metagenome.

Barry KA, Middelbos IS, Vester Boler BM, Dowd SE, Suchodolski JS, Henrissat B, Coutinho PM, White BA, Fahey GC Jr, Swanson KS.

J Proteome Res. 2012 Dec 7;11(12):5924-33. doi: 10.1021/pr3006809. Epub 2012 Nov 5.

PMID:
23075436
2.

Dietary cellulose, fructooligosaccharides, and pectin modify fecal protein catabolites and microbial populations in adult cats.

Barry KA, Wojcicki BJ, Middelbos IS, Vester BM, Swanson KS, Fahey GC Jr.

J Anim Sci. 2010 Sep;88(9):2978-87. doi: 10.2527/jas.2009-2464. Epub 2010 May 21.

3.

Fiber supplementation influences phylogenetic structure and functional capacity of the human intestinal microbiome: follow-up of a randomized controlled trial.

Holscher HD, Caporaso JG, Hooda S, Brulc JM, Fahey GC Jr, Swanson KS.

Am J Clin Nutr. 2015 Jan;101(1):55-64. doi: 10.3945/ajcn.114.092064. Epub 2014 Nov 12.

4.

Phylogenetic and gene-centric metagenomics of the canine intestinal microbiome reveals similarities with humans and mice.

Swanson KS, Dowd SE, Suchodolski JS, Middelbos IS, Vester BM, Barry KA, Nelson KE, Torralba M, Henrissat B, Coutinho PM, Cann IK, White BA, Fahey GC Jr.

ISME J. 2011 Apr;5(4):639-49. doi: 10.1038/ismej.2010.162. Epub 2010 Oct 21.

5.

Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing.

Tun HM, Brar MS, Khin N, Jun L, Hui RK, Dowd SE, Leung FC.

J Microbiol Methods. 2012 Mar;88(3):369-76. doi: 10.1016/j.mimet.2012.01.001. Epub 2012 Jan 12.

PMID:
22265636
6.

Metagenomic analysis of the Rhinopithecus bieti fecal microbiome reveals a broad diversity of bacterial and glycoside hydrolase profiles related to lignocellulose degradation.

Xu B, Xu W, Li J, Dai L, Xiong C, Tang X, Yang Y, Mu Y, Zhou J, Ding J, Wu Q, Huang Z.

BMC Genomics. 2015 Mar 12;16:174. doi: 10.1186/s12864-015-1378-7.

7.

Phylogenetic characterization of fecal microbial communities of dogs fed diets with or without supplemental dietary fiber using 454 pyrosequencing.

Middelbos IS, Vester Boler BM, Qu A, White BA, Swanson KS, Fahey GC Jr.

PLoS One. 2010 Mar 22;5(3):e9768. doi: 10.1371/journal.pone.0009768.

8.

Metagenomic profiling of gut microbial communities in both wild and artificially reared Bar-headed goose (Anser indicus).

Wang W, Zheng S, Sharshov K, Sun H, Yang F, Wang X, Li L, Xiao Z.

Microbiologyopen. 2017 Apr;6(2). doi: 10.1002/mbo3.429. Epub 2016 Dec 20.

9.

Effects of dietary fibers and their mixtures on short chain fatty acids and microbiota in mice guts.

Peng X, Li S, Luo J, Wu X, Liu L.

Food Funct. 2013 Jun;4(6):932-8. doi: 10.1039/c3fo60052a. Epub 2013 May 13.

PMID:
23669739
10.

Effects of fermentable carbohydrates and low dietary phosphorus supply on the chemical composition of faecal bacteria and microbial metabolites in the gastrointestinal tract of pigs.

Metzler BU, Mosenthin R, Baumgärtel T, Rodehutscord M.

J Anim Physiol Anim Nutr (Berl). 2009 Feb;93(1):130-9. doi: 10.1111/j.1439-0396.2007.00793.x.

PMID:
19386017
11.

Adaptation of healthy adult cats to select dietary fibers in vivo affects gas and short-chain fatty acid production from fiber fermentation in vitro.

Barry KA, Wojcicki BJ, Bauer LL, Middelbos IS, Vester Boler BM, Swanson KS, Fahey GC Jr.

J Anim Sci. 2011 Oct;89(10):3163-9. doi: 10.2527/jas.2010-3445. Epub 2011 Apr 29.

12.

Plant polyphenols alter a pathway of energy metabolism by inhibiting fecal Bacteroidetes and Firmicutes in vitro.

Xue B, Xie J, Huang J, Chen L, Gao L, Ou S, Wang Y, Peng X.

Food Funct. 2016 Mar;7(3):1501-7. doi: 10.1039/c5fo01438g.

PMID:
26882962
14.

Factors influencing the grass carp gut microbiome and its effect on metabolism.

Ni J, Yan Q, Yu Y, Zhang T.

FEMS Microbiol Ecol. 2014 Mar;87(3):704-14. doi: 10.1111/1574-6941.12256. Epub 2013 Dec 11.

15.

Feline gastrointestinal microbiota.

Minamoto Y, Hooda S, Swanson KS, Suchodolski JS.

Anim Health Res Rev. 2012 Jun;13(1):64-77. doi: 10.1017/S1466252312000060. Review.

PMID:
22853923
16.

Resistant Starch Alters the Microbiota-Gut Brain Axis: Implications for Dietary Modulation of Behavior.

Lyte M, Chapel A, Lyte JM, Ai Y, Proctor A, Jane JL, Phillips GJ.

PLoS One. 2016 Jan 8;11(1):e0146406. doi: 10.1371/journal.pone.0146406. eCollection 2016.

17.

Microbial and Carbohydrate Active Enzyme profile of buffalo rumen metagenome and their alteration in response to variation in the diet.

Patel DD, Patel AK, Parmar NR, Shah TM, Patel JB, Pandya PR, Joshi CG.

Gene. 2014 Jul 15;545(1):88-94. doi: 10.1016/j.gene.2014.05.003. Epub 2014 May 2.

PMID:
24797613
18.

Evaluation of fermentable oligosaccharides in diets fed to dogs in comparison to fiber standards.

Middelbos IS, Fastinger ND, Fahey GC Jr.

J Anim Sci. 2007 Nov;85(11):3033-44. Epub 2007 Aug 8.

19.

Taxonomic and functional metagenomic profiling of gastrointestinal tract microbiome of the farmed adult turbot (Scophthalmus maximus).

Xing M, Hou Z, Yuan J, Liu Y, Qu Y, Liu B.

FEMS Microbiol Ecol. 2013 Dec;86(3):432-43. doi: 10.1111/1574-6941.12174. Epub 2013 Jul 19.

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