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Comparative evaluation of rumen metagenome community using qPCR and MG-RAST

Microbial profiling of metagenome communities have been studied extensively using MG-RAST and other related metagenome annotation databases. Although, database based taxonomic profiling provides snapshots of the metagenome architecture, their reliability needs to be validated through more accurate m...

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Autores principales: Nathani, Neelam M, Patel, Amrutlal K, Dhamannapatil, Prakash S, Kothari, Ramesh K, Singh, Krishna M, Joshi, Chaitanya G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851495/
https://www.ncbi.nlm.nih.gov/pubmed/24025701
http://dx.doi.org/10.1186/2191-0855-3-55
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author Nathani, Neelam M
Patel, Amrutlal K
Dhamannapatil, Prakash S
Kothari, Ramesh K
Singh, Krishna M
Joshi, Chaitanya G
author_facet Nathani, Neelam M
Patel, Amrutlal K
Dhamannapatil, Prakash S
Kothari, Ramesh K
Singh, Krishna M
Joshi, Chaitanya G
author_sort Nathani, Neelam M
collection PubMed
description Microbial profiling of metagenome communities have been studied extensively using MG-RAST and other related metagenome annotation databases. Although, database based taxonomic profiling provides snapshots of the metagenome architecture, their reliability needs to be validated through more accurate methods. Here, we performed qPCR based absolute quantitation of selected rumen microbes in the liquid and solid fraction of the rumen fluid of river buffalo adapted to varying proportion of concentrate to green or dry roughages and compared with the MG-RAST based annotation of the metagenomes sequences of 16S r-DNA amplicons and high throughput shotgun sequencing. Animals were adapted to roughage-to-concentrate ratio in the proportion of 50:50, 75:25 and 100:00, respectively for six weeks. At the end of each treatment, rumen fluid was collected at 3 h post feeding. qPCR revealed that the relative abundance of Prevotella bryantii was higher, followed by the two cellulolytic bacteria Fibrobacter succinogens and Ruminococcus flavefaciens that accounted up to 1.33% and 0.78% of the total rumen bacteria, respectively. While, Selenomonas ruminantium and archaea Methanomicrobiales were lower in microbial population in the rumen of buffalo. There was no statistically significant difference between the enumerations shown by qPCR and analysis of the shotgun sequencing data by MG-RAST except for Prevotella. These results indicate the variations in abundance of different microbial species in buffalo rumen under varied feeding regimes as well as in different fractions of rumen liquor, i.e. solid and the liquid. The results also present the reliability of shotgun sequencing to describe metagenome and analysis/annotation by MG-RAST.
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spelling pubmed-38514952013-12-05 Comparative evaluation of rumen metagenome community using qPCR and MG-RAST Nathani, Neelam M Patel, Amrutlal K Dhamannapatil, Prakash S Kothari, Ramesh K Singh, Krishna M Joshi, Chaitanya G AMB Express Original Article Microbial profiling of metagenome communities have been studied extensively using MG-RAST and other related metagenome annotation databases. Although, database based taxonomic profiling provides snapshots of the metagenome architecture, their reliability needs to be validated through more accurate methods. Here, we performed qPCR based absolute quantitation of selected rumen microbes in the liquid and solid fraction of the rumen fluid of river buffalo adapted to varying proportion of concentrate to green or dry roughages and compared with the MG-RAST based annotation of the metagenomes sequences of 16S r-DNA amplicons and high throughput shotgun sequencing. Animals were adapted to roughage-to-concentrate ratio in the proportion of 50:50, 75:25 and 100:00, respectively for six weeks. At the end of each treatment, rumen fluid was collected at 3 h post feeding. qPCR revealed that the relative abundance of Prevotella bryantii was higher, followed by the two cellulolytic bacteria Fibrobacter succinogens and Ruminococcus flavefaciens that accounted up to 1.33% and 0.78% of the total rumen bacteria, respectively. While, Selenomonas ruminantium and archaea Methanomicrobiales were lower in microbial population in the rumen of buffalo. There was no statistically significant difference between the enumerations shown by qPCR and analysis of the shotgun sequencing data by MG-RAST except for Prevotella. These results indicate the variations in abundance of different microbial species in buffalo rumen under varied feeding regimes as well as in different fractions of rumen liquor, i.e. solid and the liquid. The results also present the reliability of shotgun sequencing to describe metagenome and analysis/annotation by MG-RAST. Springer 2013-09-11 /pmc/articles/PMC3851495/ /pubmed/24025701 http://dx.doi.org/10.1186/2191-0855-3-55 Text en Copyright © 2013 Nathani et al.; licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Nathani, Neelam M
Patel, Amrutlal K
Dhamannapatil, Prakash S
Kothari, Ramesh K
Singh, Krishna M
Joshi, Chaitanya G
Comparative evaluation of rumen metagenome community using qPCR and MG-RAST
title Comparative evaluation of rumen metagenome community using qPCR and MG-RAST
title_full Comparative evaluation of rumen metagenome community using qPCR and MG-RAST
title_fullStr Comparative evaluation of rumen metagenome community using qPCR and MG-RAST
title_full_unstemmed Comparative evaluation of rumen metagenome community using qPCR and MG-RAST
title_short Comparative evaluation of rumen metagenome community using qPCR and MG-RAST
title_sort comparative evaluation of rumen metagenome community using qpcr and mg-rast
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851495/
https://www.ncbi.nlm.nih.gov/pubmed/24025701
http://dx.doi.org/10.1186/2191-0855-3-55
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