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In vitro response of rumen microbiota to the antimethanogenic red macroalga Asparagopsis taxiformis

Commonwealth Scientific and Industrial Research Organisation
Rosewarne, Carly
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/586979cbb6db9&rft.title=In vitro response of rumen microbiota to the antimethanogenic red macroalga Asparagopsis taxiformis&rft.identifier=https://doi.org/10.4225/08/586979cbb6db9&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=The red macroalga Asparagopsis taxiformis has been shown to significantly decrease methane production by rumen microbial communities. This has been attributed to the bioaccumulation of halogenated methane analogues produced as secondary metabolites. The objective of this study was to evaluate the impact of A. taxiformis supplementationon the relative abundance of methanogens and microbial community structure using an in vitro rumen fermentation model. Addition of A. taxiformis (2% organic matter) or the halogenated methane analogue bromoform (5 µM) reduced methane production by over 99% compared to a basal substrate only control. Quantitative PCR confirmed that the decrease in methane production was correlated with a decrease in the relative abundance of methanogens. High throughput 16S ribosomal RNA gene amplicon sequencing showed that both treatments reduced the abundance of the three main orders of methanogens present in ruminants (Methanobacteriales, Methanomassiliicoccales and Methanomicrobiales). Shifts in bacterial community structure due to the addition of A. taxiformis and 5 µM bromoform were similar and concomitant with increases in hydrogen concentration in the head space of the fermenters. With high potency and broad-spectrum activity against the diversity of rumen methanogens, A. taxiformis represents a promising natural strategy for reducing enteric methane emissions from ruminant livestock.\nLineage: 16S ribosomal RNA gene amplicon sequencing data&rft.creator=Rosewarne, Carly &rft.date=2017&rft.edition=v2&rft_rights=CSIRO Data Licence https://research.csiro.au/dap/licences/csiro-data-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2016.&rft_subject=methane&rft_subject=rumen&rft_subject=livestock&rft_subject=seaweed&rft_subject=bromoform&rft_subject=Microbiology not elsewhere classified&rft_subject=Microbiology&rft_subject=BIOLOGICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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The red macroalga Asparagopsis taxiformis has been shown to significantly decrease methane production by rumen microbial communities. This has been attributed to the bioaccumulation of halogenated methane analogues produced as secondary metabolites. The objective of this study was to evaluate the impact of A. taxiformis supplementationon the relative abundance of methanogens and microbial community structure using an in vitro rumen fermentation model. Addition of A. taxiformis (2% organic matter) or the halogenated methane analogue bromoform (5 µM) reduced methane production by over 99% compared to a basal substrate only control. Quantitative PCR confirmed that the decrease in methane production was correlated with a decrease in the relative abundance of methanogens. High throughput 16S ribosomal RNA gene amplicon sequencing showed that both treatments reduced the abundance of the three main orders of methanogens present in ruminants (Methanobacteriales, Methanomassiliicoccales and Methanomicrobiales). Shifts in bacterial community structure due to the addition of A. taxiformis and 5 µM bromoform were similar and concomitant with increases in hydrogen concentration in the head space of the fermenters. With high potency and broad-spectrum activity against the diversity of rumen methanogens, A. taxiformis represents a promising natural strategy for reducing enteric methane emissions from ruminant livestock.
Lineage: 16S ribosomal RNA gene amplicon sequencing data

Available: 2017-01-02

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