In vitro Modeling of Chicken Cecal Microbiota Ecology and Metabolism Using the PolyFermS Platform

被引:13
作者
Asare, Paul Tetteh [1 ,3 ]
Greppi, Anna [1 ]
Pennacchia, Alessia [1 ]
Brenig, Katharina [1 ]
Geirnaert, Annelies [1 ]
Schwab, Clarissa [1 ,4 ]
Stephan, Roger [2 ]
Lacroix, Christophe [1 ]
机构
[1] Swiss Fed Inst Technol, Lab Food Biotechnol, Dept Hlth Sci & Technol, Inst Food Nutr & Hlth, Zurich, Switzerland
[2] Univ Zurich, Inst Food Hyg & Safety, Zurich, Switzerland
[3] Univ Lausanne, Dept Fundamental Microbiol, Lausanne, Switzerland
[4] Aarhus Univ, Dept Biol & Chem Engn, Aarhus, Denmark
基金
瑞士国家科学基金会;
关键词
in vitro model; broiler; cecum; microbiota; PolyFermS; GRADIENT GEL-ELECTROPHORESIS; CHAIN FATTY-ACID; GASTROINTESTINAL-TRACT; GUT MICROBIOTA; INTESTINAL MICROBIOTA; AVIAN CECA; FERMENTATION; BROILER; PERFORMANCE; PROTEIN;
D O I
10.3389/fmicb.2021.780092
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Continuous in vitro fermentation models provide a useful tool for a fast, reproducible, and direct assessment of treatment-related changes in microbiota metabolism and composition independent of the host. In this study, we used the PolyFermS model to mimic the conditions of the chicken cecum and evaluated three nutritive media for in vitro modeling of the chicken cecal microbiota ecology and metabolism. We observed that our model inoculated with immobilized cecal microbiota and fed with a modified Viande Levure medium (mVL-3) reached a high bacterial cell density of up to approximately 10.5 log cells per mL and stable microbiota composition, akin to the host, during 82 days of continuous operation. Relevant bacterial functional groups containing primary fibrolytic (Bacteroides, Bifidobacteriaceae, Ruminococcaceae), glycolytic (Enterococcus), mucolytic (Bacteroides), proteolytic (Bacteroides), and secondary acetate-utilizing butyrate-producing and propionate-producing (Lachnospiraceae) taxa were preserved in vitro. Besides, conserved metabolic and functional Kyoto Encyclopedia of Genes and Genomes pathways were observed between in vitro microbiota and cecal inoculum microbiota as predicted by functional metagenomics analysis. Furthermore, we demonstrated that the continuous inoculation provided by the inoculum reactor generated reproducible metabolic profiles in second-stage reactors comparable to the chicken cecum, allowing for the simultaneous investigation and direct comparison of different treatments with a control. In conclusion, we showed that PolyFermS is a suitable model for mimicking chicken cecal microbiota fermentation allowing ethical and ex vivo screening of environmental factors, such as dietary additives, on chicken cecal fermentation. We report here for the first time a fermentation medium (mVL-3) that closely mimics the substrate conditions in the chicken cecum and supports the growth and metabolic activity of the cecal bacterial akin to the host. Our PolyFermS chicken cecum model is a useful tool to study microbiota functionality and structure ex vivo.
引用
收藏
页数:20
相关论文
共 91 条
  • [1] The Flaws and Human Harms of Animal Experimentation
    Akhtar, Aysha
    [J]. CAMBRIDGE QUARTERLY OF HEALTHCARE ETHICS, 2015, 24 (04) : 407 - 419
  • [2] Interaction between chicken intestinal microbiota and protein digestion
    Apajalahti, J.
    Vienola, K.
    [J]. ANIMAL FEED SCIENCE AND TECHNOLOGY, 2016, 221 : 323 - 330
  • [3] Novel Polyfermentor Intestinal Model (PolyFermS) for Controlled Ecological Studies: Validation and Effect of pH
    Berner, Annina Zihler
    Fuentes, Susana
    Dostal, Alexandra
    Payne, Amanda N.
    Gutierrez, Pamela Vazquez
    Chassard, Christophe
    Grattepanche, Franck
    de Vos, Willem M.
    Lacroix, Christophe
    [J]. PLOS ONE, 2013, 8 (10):
  • [4] Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2′s q2-feature-classifier plugin
    Bokulich, Nicholas A.
    Kaehler, Benjamin D.
    Rideout, Jai Ram
    Dillon, Matthew
    Bolyen, Evan
    Knight, Rob
    Huttley, Gavin A.
    Caporaso, J. Gregory
    [J]. MICROBIOME, 2018, 6
  • [5] Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
    Bolyen, Evan
    Rideout, Jai Ram
    Dillon, Matthew R.
    Bokulich, NicholasA.
    Abnet, Christian C.
    Al-Ghalith, Gabriel A.
    Alexander, Harriet
    Alm, Eric J.
    Arumugam, Manimozhiyan
    Asnicar, Francesco
    Bai, Yang
    Bisanz, Jordan E.
    Bittinger, Kyle
    Brejnrod, Asker
    Brislawn, Colin J.
    Brown, C. Titus
    Callahan, Benjamin J.
    Caraballo-Rodriguez, Andres Mauricio
    Chase, John
    Cope, Emily K.
    Da Silva, Ricardo
    Diener, Christian
    Dorrestein, Pieter C.
    Douglas, Gavin M.
    Durall, Daniel M.
    Duvallet, Claire
    Edwardson, Christian F.
    Ernst, Madeleine
    Estaki, Mehrbod
    Fouquier, Jennifer
    Gauglitz, Julia M.
    Gibbons, Sean M.
    Gibson, Deanna L.
    Gonzalez, Antonio
    Gorlick, Kestrel
    Guo, Jiarong
    Hillmann, Benjamin
    Holmes, Susan
    Holste, Hannes
    Huttenhower, Curtis
    Huttley, Gavin A.
    Janssen, Stefan
    Jarmusch, Alan K.
    Jiang, Lingjing
    Kaehler, Benjamin D.
    Bin Kang, Kyo
    Keefe, Christopher R.
    Keim, Paul
    Kelley, Scott T.
    Knights, Dan
    [J]. NATURE BIOTECHNOLOGY, 2019, 37 (08) : 852 - 857
  • [6] Current Perspectives of the Chicken Gastrointestinal Tract and Its Microbiome
    Borda-Molina, Daniel
    Seifert, Jana
    Camarinha-Silva, Amelia
    [J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2018, 16 : 131 - 139
  • [7] Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
  • [8] Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
    Caporaso, J. Gregory
    Lauber, Christian L.
    Walters, William A.
    Berg-Lyons, Donna
    Lozupone, Catherine A.
    Turnbaugh, Peter J.
    Fierer, Noah
    Knight, Rob
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 : 4516 - 4522
  • [9] Card RM, 2017, MBIO, V8, DOI [10.1128/mbio.00777-17, 10.1128/mBio.00777-17]
  • [10] Gastrointestinal functionality in animal nutrition and health: New opportunities for sustainable animal production
    Celi, P.
    Cowieson, A. J.
    Fru-Nji, F.
    Steinert, R. E.
    Kluenter, A. -M.
    Verlhac, V.
    [J]. ANIMAL FEED SCIENCE AND TECHNOLOGY, 2017, 234 : 88 - 100