Literature DB >> 33166077

Network analysis and functional estimation of the microbiome reveal the effects of cashew nut shell liquid feeding on methanogen behaviour in the rumen.

Koki Maeda1, Van Thu Nguyen2, Tomoyuki Suzuki1,3, Keita Yamada4, Kushi Kudo4,5, Chie Hikita6, Van Phong Le2, Minh Chon Nguyen2, Naohiro Yoshida4,7.   

Abstract

The effects of cashew nut shell liquid (CNSL) feeding on the methane (CH4 ) emission and the ruminal microbiome of Lai Sind beef cattle were investigated. Changes in the methane production and rumen microbiome by CNSL feeding were monitored by a respiration chamber and 16S rRNA gene amplicon sequencing respectively. The results demonstrated that CNSL feeding mitigated 20.2%-23.4% of the CH4 emission in vivo without apparent adverse effects on feed intake and feed digestibility. The rumen fluid analysis revealed a significant increase in the proportion of propionate in the total short-chain fatty acids. The relative abundance of methanogen (order Methanobacteriales) decreased significantly, indicating the direct inhibitory effect of CNSL on methanogens. The predicted function of the rumen microbiome indicated that carbohydrate and lipid metabolisms including propionate production were upregulated by CNSL feeding, whereas CH4 metabolism was downregulated. A network analysis revealed that methanogen changed its partner bacteria after CNSL feeding. The δ13 C of CH4 ranged from -74.2‰ to -66.6‰ with significant fluctuation by CNSL feeding, in agreement with the shift of the rumen microbiome. Our findings demonstrate that CNSL feeding can mitigate the CH4 emission from local cattle production systems in South-East Asia by modifying the rumen microbiome and its function.
© 2020 The Authors. Microbial Biotechnology published by Society for Applied Microbiology and John Wiley & Sons Ltd.

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Year:  2020        PMID: 33166077      PMCID: PMC7888476          DOI: 10.1111/1751-7915.13702

Source DB:  PubMed          Journal:  Microb Biotechnol        ISSN: 1751-7915            Impact factor:   5.813


  35 in total

1.  Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

Authors:  J Gregory Caporaso; Christian L Lauber; William A Walters; Donna Berg-Lyons; Catherine A Lozupone; Peter J Turnbaugh; Noah Fierer; Rob Knight
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-03       Impact factor: 11.205

2.  STAMP: statistical analysis of taxonomic and functional profiles.

Authors:  Donovan H Parks; Gene W Tyson; Philip Hugenholtz; Robert G Beiko
Journal:  Bioinformatics       Date:  2014-07-23       Impact factor: 6.937

3.  Phylogenomic analysis of Candidatus 'Izimaplasma' species: free-living representatives from a Tenericutes clade found in methane seeps.

Authors:  Connor T Skennerton; Mohamed F Haroon; Ariane Briegel; Jian Shi; Grant J Jensen; Gene W Tyson; Victoria J Orphan
Journal:  ISME J       Date:  2016-04-08       Impact factor: 10.302

4.  The effect of incremental levels of dietary nitrate on methane emissions in Holstein steers and performance in Nelore bulls.

Authors:  J R Newbold; S M van Zijderveld; R B A Hulshof; W B Fokkink; R A Leng; P Terencio; W J Powers; P S J van Adrichem; N D Paton; H B Perdok
Journal:  J Anim Sci       Date:  2014-11       Impact factor: 3.159

5.  Effect of 3-nitrooxypropanol on methane and hydrogen emissions, methane isotopic signature, and ruminal fermentation in dairy cows.

Authors:  J C Lopes; L F de Matos; M T Harper; F Giallongo; J Oh; D Gruen; S Ono; M Kindermann; S Duval; A N Hristov
Journal:  J Dairy Sci       Date:  2016-04-13       Impact factor: 4.034

6.  Toxicity of unsaturated fatty acids to the biohydrogenating ruminal bacterium, Butyrivibrio fibrisolvens.

Authors:  Margarida R G Maia; Lal C Chaudhary; Charles S Bestwick; Anthony J Richardson; Nest McKain; Tony R Larson; Ian A Graham; Robert J Wallace
Journal:  BMC Microbiol       Date:  2010-02-18       Impact factor: 3.605

7.  Mitigation of methane production from cattle by feeding cashew nut shell liquid.

Authors:  T Shinkai; O Enishi; M Mitsumori; K Higuchi; Y Kobayashi; A Takenaka; K Nagashima; M Mochizuki; Y Kobayashi
Journal:  J Dairy Sci       Date:  2012-09       Impact factor: 4.034

8.  A commensal symbiosis between Prevotella bivia and Peptostreptococcus anaerobius involves amino acids: potential significance to the pathogenesis of bacterial vaginosis.

Authors:  V Pybus; A B Onderdonk
Journal:  FEMS Immunol Med Microbiol       Date:  1998-12

9.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

10.  Rumen Biohydrogenation and Microbial Community Changes Upon Early Life Supplementation of 22:6n-3 Enriched Microalgae to Goats.

Authors:  Lore Dewanckele; Bruno Vlaeminck; Emma Hernandez-Sanabria; Alexis Ruiz-González; Sieglinde Debruyne; Jeyamalar Jeyanathan; Veerle Fievez
Journal:  Front Microbiol       Date:  2018-03-27       Impact factor: 5.640

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  2 in total

1.  Rumen and Hindgut Bacteria Are Potential Indicators for Mastitis of Mid-Lactating Holstein Dairy Cows.

Authors:  Yifan Zhong; Ming-Yuan Xue; Hui-Zeng Sun; Teresa G Valencak; Le Luo Guan; Jianxin Liu
Journal:  Microorganisms       Date:  2020-12-20

Review 2.  Selected Alternative Feed Additives Used to Manipulate the Rumen Microbiome.

Authors:  Marta Michalak; Konrad Wojnarowski; Paulina Cholewińska; Natalia Szeligowska; Marcel Bawej; Jakub Pacoń
Journal:  Animals (Basel)       Date:  2021-05-25       Impact factor: 2.752

  2 in total

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