Literature DB >> 33482928

Quantifying fluorescent glycan uptake to elucidate strain-level variability in foraging behaviors of rumen bacteria.

Leeann Klassen1,2, Greta Reintjes1,3, Jeffrey P Tingley1, Darryl R Jones1, Jan-Hendrik Hehemann3,4, Adam D Smith1, Timothy D Schwinghamer1, Carol Arnosti5, Long Jin1, Trevor W Alexander1, Carolyn Amundsen1, Dallas Thomas1, Rudolf Amann3, Tim A McAllister1, D Wade Abbott6,7.   

Abstract

Gut microbiomes, such as the microbial community that colonizes the rumen, have vast catabolic potential and play a vital role in host health and nutrition. By expanding our understanding of metabolic pathways in these ecosystems, we will garner foundational information for manipulating microbiome structure and function to influence host physiology. Currently, our knowledge of metabolic pathways relies heavily on inferences derived from metagenomics or culturing bacteria in vitro. However, novel approaches targeting specific cell physiologies can illuminate the functional potential encoded within microbial (meta)genomes to provide accurate assessments of metabolic abilities. Using fluorescently labeled polysaccharides, we visualized carbohydrate metabolism performed by single bacterial cells in a complex rumen sample, enabling a rapid assessment of their metabolic phenotype. Specifically, we identified bovine-adapted strains of Bacteroides thetaiotaomicron that metabolized yeast mannan in the rumen microbiome ex vivo and discerned the mechanistic differences between two distinct carbohydrate foraging behaviors, referred to as "medium grower" and "high grower." Using comparative whole-genome sequencing, RNA-seq, and carbohydrate-active enzyme fingerprinting, we could elucidate the strain-level variability in carbohydrate utilization systems of the two foraging behaviors to help predict individual strategies of nutrient acquisition. Here, we present a multi-faceted study using complimentary next-generation physiology and "omics" approaches to characterize microbial adaptation to a prebiotic in the rumen ecosystem. Video abstract.

Entities:  

Keywords:  Bacteroides; Carbohydrate; Fluorescent polysaccharides; Glycoside hydrolase; Microbiome; Rumen; Yeast mannan

Mesh:

Substances:

Year:  2021        PMID: 33482928      PMCID: PMC7825182          DOI: 10.1186/s40168-020-00975-x

Source DB:  PubMed          Journal:  Microbiome        ISSN: 2049-2618            Impact factor:   14.650


  64 in total

Review 1.  The devil lies in the details: how variations in polysaccharide fine-structure impact the physiology and evolution of gut microbes.

Authors:  Eric C Martens; Amelia G Kelly; Alexandra S Tauzin; Harry Brumer
Journal:  J Mol Biol       Date:  2014-07-12       Impact factor: 5.469

2.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

Authors:  Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

Review 3.  Structures and mechanisms of glycosyl hydrolases.

Authors:  G Davies; B Henrissat
Journal:  Structure       Date:  1995-09-15       Impact factor: 5.006

4.  Use of a Fluorescent Analog of Glucose (2-NBDG) To Identify Uncultured Rumen Bacteria That Take Up Glucose.

Authors:  Junyi Tao; Courtney McCourt; Halima Sultana; Corwin Nelson; John Driver; Timothy J Hackmann
Journal:  Appl Environ Microbiol       Date:  2019-03-22       Impact factor: 4.792

5.  Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees.

Authors:  K Tamura; M Nei
Journal:  Mol Biol Evol       Date:  1993-05       Impact factor: 16.240

6.  Analysis of Active Site Architecture and Reaction Product Linkage Chemistry Reveals a Conserved Cleavage Substrate for an Endo-alpha-mannanase within Diverse Yeast Mannans.

Authors:  Darryl R Jones; Xiaohui Xing; Jeffrey P Tingley; Leeann Klassen; Marissa L King; Trevor W Alexander; D Wade Abbott
Journal:  J Mol Biol       Date:  2020-01-13       Impact factor: 5.469

7.  dbCAN: a web resource for automated carbohydrate-active enzyme annotation.

Authors:  Yanbin Yin; Xizeng Mao; Jincai Yang; Xin Chen; Fenglou Mao; Ying Xu
Journal:  Nucleic Acids Res       Date:  2012-05-29       Impact factor: 16.971

8.  Glycan complexity dictates microbial resource allocation in the large intestine.

Authors:  Artur Rogowski; Jonathon A Briggs; Jennifer C Mortimer; Theodora Tryfona; Nicolas Terrapon; Elisabeth C Lowe; Arnaud Baslé; Carl Morland; Alison M Day; Hongjun Zheng; Theresa E Rogers; Paul Thompson; Alastair R Hawkins; Madhav P Yadav; Bernard Henrissat; Eric C Martens; Paul Dupree; Harry J Gilbert; David N Bolam
Journal:  Nat Commun       Date:  2015-06-26       Impact factor: 14.919

Review 9.  Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future.

Authors:  Sharon A Huws; Christopher J Creevey; Linda B Oyama; Itzhak Mizrahi; Stuart E Denman; Milka Popova; Rafael Muñoz-Tamayo; Evelyne Forano; Sinead M Waters; Matthias Hess; Ilma Tapio; Hauke Smidt; Sophie J Krizsan; David R Yáñez-Ruiz; Alejandro Belanche; Leluo Guan; Robert J Gruninger; Tim A McAllister; C Jamie Newbold; Rainer Roehe; Richard J Dewhurst; Tim J Snelling; Mick Watson; Garret Suen; Elizabeth H Hart; Alison H Kingston-Smith; Nigel D Scollan; Rodolpho M do Prado; Eduardo J Pilau; Hilario C Mantovani; Graeme T Attwood; Joan E Edwards; Neil R McEwan; Steven Morrisson; Olga L Mayorga; Christopher Elliott; Diego P Morgavi
Journal:  Front Microbiol       Date:  2018-09-25       Impact factor: 5.640

10.  BBMerge - Accurate paired shotgun read merging via overlap.

Authors:  Brian Bushnell; Jonathan Rood; Esther Singer
Journal:  PLoS One       Date:  2017-10-26       Impact factor: 3.240

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  4 in total

Review 1.  Prebiotics and the Human Gut Microbiota: From Breakdown Mechanisms to the Impact on Metabolic Health.

Authors:  Cassandre Bedu-Ferrari; Paul Biscarrat; Philippe Langella; Claire Cherbuy
Journal:  Nutrients       Date:  2022-05-17       Impact factor: 6.706

2.  Integrative interactomics applied to bovine fescue toxicosis.

Authors:  Ryan S Mote; Nicholas S Hill; Joseph H Skarlupka; Jessica M Carpenter; Jeferson M Lourenco; Todd R Callaway; ViLinh T Tran; Ken Liu; Mathew R Smith; Dean P Jones; Garret Suen; Nikolay M Filipov
Journal:  Sci Rep       Date:  2022-03-22       Impact factor: 4.379

3.  Technical pipeline for screening microbial communities as a function of substrate specificity through fluorescent labelling.

Authors:  Shaun Leivers; Leidy Lagos; Philipp Garbers; Sabina Leanti La Rosa; Bjørge Westereng
Journal:  Commun Biol       Date:  2022-05-11

4.  Effect of Cistanche deserticola on Rumen Microbiota and Rumen Function in Grazing Sheep.

Authors:  Xiaoyun Zhang; Xulei Liu; Shenghua Chang; Cheng Zhang; Wuchen Du; Fujiang Hou
Journal:  Front Microbiol       Date:  2022-03-31       Impact factor: 5.640

  4 in total

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