Rumen metaproteomics: Closer to linking rumen microbial function to animal productivity traits

被引:28
作者
Andersen, Thea Os [1 ]
Kunath, Benoit J. [2 ,3 ]
Hagen, Live H. [3 ]
Arntzen, Magnus O. [3 ]
Pope, Phillip B. [1 ,3 ]
机构
[1] Norwegian Univ Life Sci, Fac Biosci, Dept Anim & Aquacultural Sci, As, Norway
[2] Univ Luxembourg, Luxembourg Ctr Syst Biomed, L-4362 Esch Sur Alzette, Luxembourg
[3] Norwegian Univ Life Sci, Fac Chem Biotechnol & Food Sci, As, Norway
关键词
Rumen; Rumen microbiome; Metaproteomics; Methane; Metagenome-assembled genomes; Microbial diversity; SAMPLE PREPARATION; PROTEIN IDENTIFICATION; METAGENOME; CHALLENGES; PROTEOMICS; LIQUID; EXTRACTION; GENOMES; FRACTIONATION; COMMUNITIES;
D O I
10.1016/j.ymeth.2020.07.011
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The rumen microbiome constitutes a dense and complex mixture of anaerobic bacteria, archaea, protozoa, virus and fungi. Collectively, rumen microbial populations interact closely in order to degrade and ferment complex plant material into nutrients for host metabolism, a process which also produces other by-products, such as methane gas. Our understanding of the rumen microbiome and its functions are of both scientific and industrial interest, as the metabolic functions are connected to animal health and nutrition, but at the same time contribute significantly to global greenhouse gas emissions. While many of the major microbial members of the rumen microbiome are acknowledged, advances in modern culture-independent meta-omic techniques, such as metaproteomics, enable deep exploration into active microbial populations involved in essential rumen metabolic functions. Meaningful and accurate metaproteomic analyses are highly dependent on representative samples, precise protein extraction and fractionation, as well as a comprehensive and high-quality protein sequence database that enables precise protein identification and quantification. This review focuses on the application of rumen metaproteomics, and its potential towards understanding the complex rumen microbiome and its metabolic functions. We present and discuss current methods in sample handling, protein extraction and data analysis for rumen metaproteomics, and finally emphasize the potential of (meta)genome-integrated metaproteomics for accurate reconstruction of active microbial populations in the rumen.
引用
收藏
页码:42 / 51
页数:10
相关论文
共 109 条
[1]   Mass-spectrometric exploration of proteome structure and function [J].
Aebersold, Ruedi ;
Mann, Matthias .
NATURE, 2016, 537 (7620) :347-355
[2]   BASIC LOCAL ALIGNMENT SEARCH TOOL [J].
ALTSCHUL, SF ;
GISH, W ;
MILLER, W ;
MYERS, EW ;
LIPMAN, DJ .
JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) :403-410
[3]   Sample Treatment for Saliva Proteomics [J].
Amado, Francisco ;
Calheiros-Lobo, Maria Joao ;
Ferreira, Rita ;
Vitorino, Rui .
EMERGING SAMPLE TREATMENTS IN PROTEOMICS, 2019, 1073 :23-56
[4]   Opportunities and challenges in long-read sequencing data analysis [J].
Amarasinghe, Shanika L. ;
Su, Shian ;
Dong, Xueyi ;
Zappia, Luke ;
Ritchie, Matthew E. ;
Gouil, Quentin .
GENOME BIOLOGY, 2020, 21 (01)
[5]   Gene Ontology: tool for the unification of biology [J].
Ashburner, M ;
Ball, CA ;
Blake, JA ;
Botstein, D ;
Butler, H ;
Cherry, JM ;
Davis, AP ;
Dolinski, K ;
Dwight, SS ;
Eppig, JT ;
Harris, MA ;
Hill, DP ;
Issel-Tarver, L ;
Kasarskis, A ;
Lewis, S ;
Matese, JC ;
Richardson, JE ;
Ringwald, M ;
Rubin, GM ;
Sherlock, G .
NATURE GENETICS, 2000, 25 (01) :25-29
[6]  
Bateman A, 2004, NUCLEIC ACIDS RES, V32, pD138, DOI [10.1093/nar/gkr1065, 10.1093/nar/gkh121, 10.1093/nar/gkp985]
[7]   Metaproteomics to unravel major microbial players in leaf litter and soil environments: Challenges and perspectives [J].
Becher, Doerte ;
Bernhardt, Joerg ;
Fuchs, Stephan ;
Riedel, Katharina .
PROTEOMICS, 2013, 13 (18-19) :2895-2909
[8]   Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants [J].
Ben Shabat, Sheerli Kruger ;
Sasson, Goor ;
Doron-Faigenboim, Adi ;
Durman, Thomer ;
Yaacoby, Shamay ;
Miller, Margret E. Berg ;
White, Bryan A. ;
Shterzer, Naama ;
Mizrahi, Itzhak .
ISME JOURNAL, 2016, 10 (12) :2958-2972
[9]   ProteoStorm: An Ultrafast Metaproteomics Database Search Framework [J].
Beyter, Doruk ;
Lin, Miin S. ;
Yu, Yanbao ;
Pieper, Rembert ;
Bafna, Vineet .
CELL SYSTEMS, 2018, 7 (04) :463-+
[10]   Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ [J].
Cox, Juergen ;
Hein, Marco Y. ;
Luber, Christian A. ;
Paron, Igor ;
Nagaraj, Nagarjuna ;
Mann, Matthias .
MOLECULAR & CELLULAR PROTEOMICS, 2014, 13 (09) :2513-2526