Diet-dependent modular dynamic interactions of the equine cecal microbiota

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Standard

Diet-dependent modular dynamic interactions of the equine cecal microbiota. / Kristoffersen, Camilla; Jensen, Rasmus Bovbjerg; Avershina, Ekaterina; Austbø, Dag; Tauson, Anne-Helene; Rudi, Knut.

I: Microbes and Environments, Bind 31, Nr. 4, 23.12.2016, s. 378-386.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Kristoffersen, C, Jensen, RB, Avershina, E, Austbø, D, Tauson, A-H & Rudi, K 2016, 'Diet-dependent modular dynamic interactions of the equine cecal microbiota', Microbes and Environments, bind 31, nr. 4, s. 378-386. https://doi.org/10.1264/jsme2.ME16061

APA

Kristoffersen, C., Jensen, R. B., Avershina, E., Austbø, D., Tauson, A-H., & Rudi, K. (2016). Diet-dependent modular dynamic interactions of the equine cecal microbiota. Microbes and Environments, 31(4), 378-386. https://doi.org/10.1264/jsme2.ME16061

Vancouver

Kristoffersen C, Jensen RB, Avershina E, Austbø D, Tauson A-H, Rudi K. Diet-dependent modular dynamic interactions of the equine cecal microbiota. Microbes and Environments. 2016 dec. 23;31(4):378-386. https://doi.org/10.1264/jsme2.ME16061

Author

Kristoffersen, Camilla ; Jensen, Rasmus Bovbjerg ; Avershina, Ekaterina ; Austbø, Dag ; Tauson, Anne-Helene ; Rudi, Knut. / Diet-dependent modular dynamic interactions of the equine cecal microbiota. I: Microbes and Environments. 2016 ; Bind 31, Nr. 4. s. 378-386.

Bibtex

@article{d7c917d88864408592299a18d7aefe2d,
title = "Diet-dependent modular dynamic interactions of the equine cecal microbiota",
abstract = "Knowledge on dynamic interactions in microbiota is pivotal for understanding the role of bacteria in the gut. We herein present comprehensive dynamic models of the horse cecal microbiota, which include short-chained fatty acids, carbohydrate metabolic networks, and taxonomy. Dynamic models were derived from time-series data in a crossover experiment in which four cecum-cannulated horses were fed a starch-rich diet of hay supplemented with barley (starch intake 2 g kg–1 body weightper day) and a fiber-rich diet of only hay. Cecal contents were sampled via the cannula each h for 24 h for both diets. We observed marked differences in the microbial dynamic interaction patterns for Fibrobacter succinogenes, Lachnospiraceae, Streptococcus, Treponema, Anaerostipes, and Anaerovibrio between the two diet groups. Fluctuations and microbiota interactions were the most pronounced for the starch rich diet, with Streptococcus spp. and Anaerovibrio spp. showing the largest fluctuations. Shotgun metagenome sequencing revealed that diet differences may be explained by modular switches in metabolic cross-feeding between microbial consortia in which fermentation is linked to sugar alcohols and amino sugars for the starch-rich diet and monosaccharides for the fiber-rich diet. In conclusion, diet may not only affect the composition of the cecal microbiota, but also dynamic interactions and metabolic cross-feeding.",
keywords = "cecum, carbohydrate, microbiota, short-chained fatty acids",
author = "Camilla Kristoffersen and Jensen, {Rasmus Bovbjerg} and Ekaterina Avershina and Dag Austb{\o} and Anne-Helene Tauson and Knut Rudi",
year = "2016",
month = dec,
day = "23",
doi = "10.1264/jsme2.ME16061",
language = "English",
volume = "31",
pages = "378--386",
journal = "Microbes and Environments",
issn = "1342-6311",
publisher = "Japanese Society Of Microbial Ecology",
number = "4",

}

RIS

TY - JOUR

T1 - Diet-dependent modular dynamic interactions of the equine cecal microbiota

AU - Kristoffersen, Camilla

AU - Jensen, Rasmus Bovbjerg

AU - Avershina, Ekaterina

AU - Austbø, Dag

AU - Tauson, Anne-Helene

AU - Rudi, Knut

PY - 2016/12/23

Y1 - 2016/12/23

N2 - Knowledge on dynamic interactions in microbiota is pivotal for understanding the role of bacteria in the gut. We herein present comprehensive dynamic models of the horse cecal microbiota, which include short-chained fatty acids, carbohydrate metabolic networks, and taxonomy. Dynamic models were derived from time-series data in a crossover experiment in which four cecum-cannulated horses were fed a starch-rich diet of hay supplemented with barley (starch intake 2 g kg–1 body weightper day) and a fiber-rich diet of only hay. Cecal contents were sampled via the cannula each h for 24 h for both diets. We observed marked differences in the microbial dynamic interaction patterns for Fibrobacter succinogenes, Lachnospiraceae, Streptococcus, Treponema, Anaerostipes, and Anaerovibrio between the two diet groups. Fluctuations and microbiota interactions were the most pronounced for the starch rich diet, with Streptococcus spp. and Anaerovibrio spp. showing the largest fluctuations. Shotgun metagenome sequencing revealed that diet differences may be explained by modular switches in metabolic cross-feeding between microbial consortia in which fermentation is linked to sugar alcohols and amino sugars for the starch-rich diet and monosaccharides for the fiber-rich diet. In conclusion, diet may not only affect the composition of the cecal microbiota, but also dynamic interactions and metabolic cross-feeding.

AB - Knowledge on dynamic interactions in microbiota is pivotal for understanding the role of bacteria in the gut. We herein present comprehensive dynamic models of the horse cecal microbiota, which include short-chained fatty acids, carbohydrate metabolic networks, and taxonomy. Dynamic models were derived from time-series data in a crossover experiment in which four cecum-cannulated horses were fed a starch-rich diet of hay supplemented with barley (starch intake 2 g kg–1 body weightper day) and a fiber-rich diet of only hay. Cecal contents were sampled via the cannula each h for 24 h for both diets. We observed marked differences in the microbial dynamic interaction patterns for Fibrobacter succinogenes, Lachnospiraceae, Streptococcus, Treponema, Anaerostipes, and Anaerovibrio between the two diet groups. Fluctuations and microbiota interactions were the most pronounced for the starch rich diet, with Streptococcus spp. and Anaerovibrio spp. showing the largest fluctuations. Shotgun metagenome sequencing revealed that diet differences may be explained by modular switches in metabolic cross-feeding between microbial consortia in which fermentation is linked to sugar alcohols and amino sugars for the starch-rich diet and monosaccharides for the fiber-rich diet. In conclusion, diet may not only affect the composition of the cecal microbiota, but also dynamic interactions and metabolic cross-feeding.

KW - cecum

KW - carbohydrate

KW - microbiota

KW - short-chained fatty acids

U2 - 10.1264/jsme2.ME16061

DO - 10.1264/jsme2.ME16061

M3 - Journal article

C2 - 27773914

VL - 31

SP - 378

EP - 386

JO - Microbes and Environments

JF - Microbes and Environments

SN - 1342-6311

IS - 4

ER -

ID: 173126972