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Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance

Our previous research revealed the advantages of separate feeding (SF) systems compared to total mixed ration (TMR) in terms of ruminal methane (CH(4)) production. The purpose of this experiment was to confirm the advantage of SF as a nutritional strategy for CH(4) mitigation, and to determine the e...

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Autores principales: Bharanidharan, Rajaraman, Lee, Chang Hyun, Thirugnanasambantham, Krishnaraj, Ibidhi, Ridha, Woo, Yang Won, Lee, Hong-Gu, Kim, Jong Geun, Kim, Kyoung Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329423/
https://www.ncbi.nlm.nih.gov/pubmed/34354694
http://dx.doi.org/10.3389/fmicb.2021.701081
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author Bharanidharan, Rajaraman
Lee, Chang Hyun
Thirugnanasambantham, Krishnaraj
Ibidhi, Ridha
Woo, Yang Won
Lee, Hong-Gu
Kim, Jong Geun
Kim, Kyoung Hoon
author_facet Bharanidharan, Rajaraman
Lee, Chang Hyun
Thirugnanasambantham, Krishnaraj
Ibidhi, Ridha
Woo, Yang Won
Lee, Hong-Gu
Kim, Jong Geun
Kim, Kyoung Hoon
author_sort Bharanidharan, Rajaraman
collection PubMed
description Our previous research revealed the advantages of separate feeding (SF) systems compared to total mixed ration (TMR) in terms of ruminal methane (CH(4)) production. The purpose of this experiment was to confirm the advantage of SF as a nutritional strategy for CH(4) mitigation, and to determine the effects of different feeding systems (TMR and SF) on the rumen microbiome and associated metagenome of two different breeds and on CH(4) emissions. We randomly allocated four Holstein (305 ± 29 kg) and four Hanwoo steers (292 ± 24 kg) to two groups; the steers were fed a commercial concentrate with tall fescue (75:25) as TMR or SF, in a crossover design (two successive 22-day periods). Neither feeding systems nor cattle breeds had an effect on the total tract digestibility of nutrients. The TMR feeding system and Hanwoo steers generated significantly more CH(4) (P < 0.05) and had a higher yield [g/d and g/kg dry matter intake (DMI)] compared to the SF system and Holstein steers. A larger rumen acetate:propionate ratio was observed for the TMR than the SF diet (P < 0.05), and for Hanwoo than Holstein steers (P < 0.001), clearly reflecting a shift in the ruminal H(2) sink toward CH(4) production. The linear discriminant analysis (LDA) effect size (LEfSe) revealed a greater abundance (α < 0.05 and LDA > 2.0) of operational taxonomic units (OTUs) related to methanogenesis for Hanwoo steers compared to Holstein steers. Kendall’s correlation analysis revealed wide variation of microbial co-occurrence patterns between feeding systems, indicating differential H(2) thermodynamics in the rumen. A metagenome analysis of rumen microbes revealed the presence of 430 differentially expressed genes, among which 17 and 27 genes exhibited positive and negative associations with CH(4) production, respectively (P < 0.001). A strong interaction between feeding system and breed was observed for microbial and metagenomic abundance. Overall, these results suggest that the TMR feeding system produces more CH(4), and that Hanwoo cattle are higher CH(4) emitters than SF diet and Holstein cattle, respectively. Interestingly, host-associated microbial interactions differed within each breed depending on the feeding system, which indicated that breed-specific feeding systems should be taken into account for farm management.
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spelling pubmed-83294232021-08-04 Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance Bharanidharan, Rajaraman Lee, Chang Hyun Thirugnanasambantham, Krishnaraj Ibidhi, Ridha Woo, Yang Won Lee, Hong-Gu Kim, Jong Geun Kim, Kyoung Hoon Front Microbiol Microbiology Our previous research revealed the advantages of separate feeding (SF) systems compared to total mixed ration (TMR) in terms of ruminal methane (CH(4)) production. The purpose of this experiment was to confirm the advantage of SF as a nutritional strategy for CH(4) mitigation, and to determine the effects of different feeding systems (TMR and SF) on the rumen microbiome and associated metagenome of two different breeds and on CH(4) emissions. We randomly allocated four Holstein (305 ± 29 kg) and four Hanwoo steers (292 ± 24 kg) to two groups; the steers were fed a commercial concentrate with tall fescue (75:25) as TMR or SF, in a crossover design (two successive 22-day periods). Neither feeding systems nor cattle breeds had an effect on the total tract digestibility of nutrients. The TMR feeding system and Hanwoo steers generated significantly more CH(4) (P < 0.05) and had a higher yield [g/d and g/kg dry matter intake (DMI)] compared to the SF system and Holstein steers. A larger rumen acetate:propionate ratio was observed for the TMR than the SF diet (P < 0.05), and for Hanwoo than Holstein steers (P < 0.001), clearly reflecting a shift in the ruminal H(2) sink toward CH(4) production. The linear discriminant analysis (LDA) effect size (LEfSe) revealed a greater abundance (α < 0.05 and LDA > 2.0) of operational taxonomic units (OTUs) related to methanogenesis for Hanwoo steers compared to Holstein steers. Kendall’s correlation analysis revealed wide variation of microbial co-occurrence patterns between feeding systems, indicating differential H(2) thermodynamics in the rumen. A metagenome analysis of rumen microbes revealed the presence of 430 differentially expressed genes, among which 17 and 27 genes exhibited positive and negative associations with CH(4) production, respectively (P < 0.001). A strong interaction between feeding system and breed was observed for microbial and metagenomic abundance. Overall, these results suggest that the TMR feeding system produces more CH(4), and that Hanwoo cattle are higher CH(4) emitters than SF diet and Holstein cattle, respectively. Interestingly, host-associated microbial interactions differed within each breed depending on the feeding system, which indicated that breed-specific feeding systems should be taken into account for farm management. Frontiers Media S.A. 2021-07-20 /pmc/articles/PMC8329423/ /pubmed/34354694 http://dx.doi.org/10.3389/fmicb.2021.701081 Text en Copyright © 2021 Bharanidharan, Lee, Thirugnanasambantham, Ibidhi, Woo, Lee, Kim and Kim. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Bharanidharan, Rajaraman
Lee, Chang Hyun
Thirugnanasambantham, Krishnaraj
Ibidhi, Ridha
Woo, Yang Won
Lee, Hong-Gu
Kim, Jong Geun
Kim, Kyoung Hoon
Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance
title Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance
title_full Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance
title_fullStr Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance
title_full_unstemmed Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance
title_short Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance
title_sort feeding systems and host breeds influence ruminal fermentation, methane production, microbial diversity and metagenomic gene abundance
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329423/
https://www.ncbi.nlm.nih.gov/pubmed/34354694
http://dx.doi.org/10.3389/fmicb.2021.701081
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