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Accessing Dietary Effects on the Rumen Microbiome: Different Sequencing Methods Tell Different Stories

The current study employed both amplicon and shotgun sequencing to examine and compare the rumen microbiome in Angus bulls fed with either a backgrounding diet (BCK) or finishing diet (HG), to assess if both methods produce comparable results. Rumen digesta samples from 16 bulls were subjected for m...

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Autores principales: Zhou, Mi, O’Hara, Eóin, Tang, Shaoxun, Chen, Yanhong, Walpole, Matthew E., Górka, Paweł, Penner, Gregory B., Guan, Le Luo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310016/
https://www.ncbi.nlm.nih.gov/pubmed/34357930
http://dx.doi.org/10.3390/vetsci8070138
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author Zhou, Mi
O’Hara, Eóin
Tang, Shaoxun
Chen, Yanhong
Walpole, Matthew E.
Górka, Paweł
Penner, Gregory B.
Guan, Le Luo
author_facet Zhou, Mi
O’Hara, Eóin
Tang, Shaoxun
Chen, Yanhong
Walpole, Matthew E.
Górka, Paweł
Penner, Gregory B.
Guan, Le Luo
author_sort Zhou, Mi
collection PubMed
description The current study employed both amplicon and shotgun sequencing to examine and compare the rumen microbiome in Angus bulls fed with either a backgrounding diet (BCK) or finishing diet (HG), to assess if both methods produce comparable results. Rumen digesta samples from 16 bulls were subjected for microbial profiling. Distinctive microbial profiles were revealed by the two methods, indicating that choice of sequencing approach may be a critical facet in studies of the rumen microbiome. Shotgun-sequencing identified the presence of 303 bacterial genera and 171 archaeal species, several of which exhibited differential abundance. Amplicon-sequencing identified 48 bacterial genera, 4 archaeal species, and 9 protozoal species. Among them, 20 bacterial genera and 5 protozoal species were differentially abundant between the two diets. Overall, amplicon-sequencing showed a more drastic diet-derived effect on the ruminal microbial profile compared to shotgun-sequencing. While both methods detected dietary differences at various taxonomic levels, few consistent patterns were evident. Opposite results were seen for the phyla Firmicutes and Bacteroidetes, and the genus Selenomonas. This study showcases the importance of sequencing platform choice and suggests a need for integrative methods that allow robust comparisons of microbial data drawn from various omic approaches, allowing for comprehensive comparisons across studies.
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spelling pubmed-83100162021-07-25 Accessing Dietary Effects on the Rumen Microbiome: Different Sequencing Methods Tell Different Stories Zhou, Mi O’Hara, Eóin Tang, Shaoxun Chen, Yanhong Walpole, Matthew E. Górka, Paweł Penner, Gregory B. Guan, Le Luo Vet Sci Article The current study employed both amplicon and shotgun sequencing to examine and compare the rumen microbiome in Angus bulls fed with either a backgrounding diet (BCK) or finishing diet (HG), to assess if both methods produce comparable results. Rumen digesta samples from 16 bulls were subjected for microbial profiling. Distinctive microbial profiles were revealed by the two methods, indicating that choice of sequencing approach may be a critical facet in studies of the rumen microbiome. Shotgun-sequencing identified the presence of 303 bacterial genera and 171 archaeal species, several of which exhibited differential abundance. Amplicon-sequencing identified 48 bacterial genera, 4 archaeal species, and 9 protozoal species. Among them, 20 bacterial genera and 5 protozoal species were differentially abundant between the two diets. Overall, amplicon-sequencing showed a more drastic diet-derived effect on the ruminal microbial profile compared to shotgun-sequencing. While both methods detected dietary differences at various taxonomic levels, few consistent patterns were evident. Opposite results were seen for the phyla Firmicutes and Bacteroidetes, and the genus Selenomonas. This study showcases the importance of sequencing platform choice and suggests a need for integrative methods that allow robust comparisons of microbial data drawn from various omic approaches, allowing for comprehensive comparisons across studies. MDPI 2021-07-19 /pmc/articles/PMC8310016/ /pubmed/34357930 http://dx.doi.org/10.3390/vetsci8070138 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Mi
O’Hara, Eóin
Tang, Shaoxun
Chen, Yanhong
Walpole, Matthew E.
Górka, Paweł
Penner, Gregory B.
Guan, Le Luo
Accessing Dietary Effects on the Rumen Microbiome: Different Sequencing Methods Tell Different Stories
title Accessing Dietary Effects on the Rumen Microbiome: Different Sequencing Methods Tell Different Stories
title_full Accessing Dietary Effects on the Rumen Microbiome: Different Sequencing Methods Tell Different Stories
title_fullStr Accessing Dietary Effects on the Rumen Microbiome: Different Sequencing Methods Tell Different Stories
title_full_unstemmed Accessing Dietary Effects on the Rumen Microbiome: Different Sequencing Methods Tell Different Stories
title_short Accessing Dietary Effects on the Rumen Microbiome: Different Sequencing Methods Tell Different Stories
title_sort accessing dietary effects on the rumen microbiome: different sequencing methods tell different stories
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310016/
https://www.ncbi.nlm.nih.gov/pubmed/34357930
http://dx.doi.org/10.3390/vetsci8070138
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