1200 high-quality metagenome-assembled genomes from the rumen of African cattle and their relevance in the context of sub-optimal feeding.


Journal

Genome biology
ISSN: 1474-760X
Titre abrégé: Genome Biol
Pays: England
ID NLM: 100960660

Informations de publication

Date de publication:
03 09 2020
Historique:
received: 20 12 2018
accepted: 16 08 2020
entrez: 5 9 2020
pubmed: 5 9 2020
medline: 16 6 2021
Statut: epublish

Résumé

The Boran (Bos indicus), indigenous Zebu cattle breed from sub-Saharan Africa, is remarkably well adapted to harsh tropical environments. Due to financial constraints and low-quality forage, African livestock are rarely fed at 100% maintenance energy requirements (MER) and the effect of sub-optimal restricted feeding on the rumen microbiome of African Zebu cattle remains largely unexplored. We collected 24 rumen fluid samples from six Boran cattle fed at sub-optimal and optimal MER levels and characterised their rumen microbial composition by performing shotgun metagenomics and de novo assembly of metagenome-assembled genomes (MAGs). These MAGs were used as reference database to investigate the effect of diet restriction on the composition and functional potential of the rumen microbiome of African cattle. We report 1200 newly discovered MAGs from the rumen of Boran cattle. A total of 850 were dereplicated, and their uniqueness confirmed with pairwise comparisons (based on Mash distances) between African MAGs and other publicly available genomes from the rumen. A genome-centric investigation into sub-optimal diets highlighted a statistically significant effect on rumen microbial abundance profiles and a previously unobserved relationship between whole microbiome shifts in functional potential and taxon-level associations in metabolic pathways. This study is the first to identify 1200 high-quality African rumen-specific MAGs and provides further insight into the rumen function in harsh environments with food scarcity. The genomic information from the rumen microbiome of an indigenous African cattle breed sheds light on the microbiome contribution to rumen functionality and constitutes a vital resource in addressing food security in developing countries.

Sections du résumé

BACKGROUND
The Boran (Bos indicus), indigenous Zebu cattle breed from sub-Saharan Africa, is remarkably well adapted to harsh tropical environments. Due to financial constraints and low-quality forage, African livestock are rarely fed at 100% maintenance energy requirements (MER) and the effect of sub-optimal restricted feeding on the rumen microbiome of African Zebu cattle remains largely unexplored. We collected 24 rumen fluid samples from six Boran cattle fed at sub-optimal and optimal MER levels and characterised their rumen microbial composition by performing shotgun metagenomics and de novo assembly of metagenome-assembled genomes (MAGs). These MAGs were used as reference database to investigate the effect of diet restriction on the composition and functional potential of the rumen microbiome of African cattle.
RESULTS
We report 1200 newly discovered MAGs from the rumen of Boran cattle. A total of 850 were dereplicated, and their uniqueness confirmed with pairwise comparisons (based on Mash distances) between African MAGs and other publicly available genomes from the rumen. A genome-centric investigation into sub-optimal diets highlighted a statistically significant effect on rumen microbial abundance profiles and a previously unobserved relationship between whole microbiome shifts in functional potential and taxon-level associations in metabolic pathways.
CONCLUSIONS
This study is the first to identify 1200 high-quality African rumen-specific MAGs and provides further insight into the rumen function in harsh environments with food scarcity. The genomic information from the rumen microbiome of an indigenous African cattle breed sheds light on the microbiome contribution to rumen functionality and constitutes a vital resource in addressing food security in developing countries.

Identifiants

pubmed: 32883364
doi: 10.1186/s13059-020-02144-7
pii: 10.1186/s13059-020-02144-7
pmc: PMC7469290
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

229

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/P013759/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/GCRF-IAA/25
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/N016742/1
Pays : United Kingdom

Références

Microbiome. 2017 Dec 11;5(1):159
pubmed: 29228991
ISME J. 2017 Dec;11(12):2639-2643
pubmed: 28731476
Integr Comp Biol. 2002 Apr;42(2):319-26
pubmed: 21708724
PLoS One. 2015 Jun 01;10(6):e0129174
pubmed: 26030887
Genome Biol. 2004;5(10):R80
pubmed: 15461798
Clin Microbiol Rev. 2015 Jan;28(1):237-64
pubmed: 25567229
Bioinformatics. 2009 Aug 15;25(16):2078-9
pubmed: 19505943
Trop Anim Health Prod. 2012 Aug;44(6):1221-32
pubmed: 22286398
Bioinformatics. 2019 Jun 1;35(12):2150-2152
pubmed: 30418481
Nat Biotechnol. 2014 Sep;32(9):888-95
pubmed: 25150837
Sci Rep. 2015 Oct 09;5:14567
pubmed: 26449758
Oecologia. 2001 Oct;129(2):271-280
pubmed: 28547606
Syst Appl Microbiol. 2018 Jul;41(4):374-385
pubmed: 29555111
Appl Microbiol Biotechnol. 2018 Jun;102(12):5045-5063
pubmed: 29713790
Biotechniques. 2004 May;36(5):808-12
pubmed: 15152600
Proc Nutr Soc. 2010 Nov;69(4):613-20
pubmed: 20682089
Bioinformatics. 2015 May 15;31(10):1674-6
pubmed: 25609793
Science. 2011 Jan 28;331(6016):463-7
pubmed: 21273488
PLoS One. 2013 Apr 22;8(4):e61217
pubmed: 23630581
BMC Bioinformatics. 2012 Jun 21;13:141
pubmed: 22720753
Nat Biotechnol. 2019 Aug;37(8):953-961
pubmed: 31375809
Genome Biol. 2004;5(2):R12
pubmed: 14759262
Bioinformatics. 2015 Aug 1;31(15):2461-8
pubmed: 25819674
Bioinformatics. 2014 Aug 1;30(15):2114-20
pubmed: 24695404
Genome Biol. 2014;15(12):550
pubmed: 25516281
J Nutr. 2004 Apr;134(4):736-42
pubmed: 15051819
Nat Biotechnol. 2018 Apr;36(4):359-367
pubmed: 29553575
ISME J. 2017 Dec;11(12):2864-2868
pubmed: 28742071
Nat Commun. 2018 Feb 28;9(1):870
pubmed: 29491419
Anaerobe. 2014 Oct;29:80-4
pubmed: 24125910
Animal. 2008 May;2(5):653-60
pubmed: 22443590
ISME J. 2017 Apr;11(4):932-944
pubmed: 28085156
Nat Microbiol. 2018 Nov;3(11):1274-1284
pubmed: 30356154
Nucleic Acids Res. 2017 Jan 4;45(D1):D158-D169
pubmed: 27899622
Bioinformatics. 2012 Jun 1;28(11):1420-8
pubmed: 22495754
Nat Methods. 2012 Mar 04;9(4):357-9
pubmed: 22388286
Front Microbiol. 2018 May 25;9:1095
pubmed: 29887853
Cell Metab. 2014 Nov 4;20(5):779-786
pubmed: 25156449
PLoS One. 2012;7(3):e33306
pubmed: 22432013
PLoS Comput Biol. 2018 Apr 23;14(4):e1006102
pubmed: 29684016
Front Microbiol. 2018 Jan 09;8:2642
pubmed: 29375511
Cell. 2016 Nov 17;167(5):1339-1353.e21
pubmed: 27863247
Genome Res. 2015 Jul;25(7):1043-55
pubmed: 25977477
Nucleic Acids Res. 2012 Jul;40(Web Server issue):W445-51
pubmed: 22645317
Appl Environ Microbiol. 2018 Mar 19;84(7):
pubmed: 29427429
Nat Biotechnol. 2013 Sep;31(9):814-21
pubmed: 23975157
J Anim Sci. 2018 Apr 3;96(3):1032-1044
pubmed: 29617868
Nature. 2018 Aug;560(7716):49-54
pubmed: 30013118
Proc Natl Acad Sci U S A. 2009 Nov 10;106(45):19126-31
pubmed: 19855009
PLoS One. 2015 Oct 28;10(10):e0140282
pubmed: 26509835
Genome Biol. 2016 Jun 20;17(1):132
pubmed: 27323842
PeerJ. 2015 Aug 27;3:e1165
pubmed: 26336640
Nucleic Acids Res. 2014 Jan;42(Database issue):D490-5
pubmed: 24270786

Auteurs

Toby Wilkinson (T)

The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Roslin, EH25 9RG, UK.

Daniel Korir (D)

International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi, 00100, Kenya.

Moses Ogugo (M)

International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi, 00100, Kenya.

Robert D Stewart (RD)

The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Roslin, EH25 9RG, UK.

Mick Watson (M)

The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Roslin, EH25 9RG, UK.

Edith Paxton (E)

The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Roslin, EH25 9RG, UK.

John Goopy (J)

International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi, 00100, Kenya.

Christelle Robert (C)

The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Roslin, EH25 9RG, UK. christelle.robert@roslin.ed.ac.uk.

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Classifications MeSH