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A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms

Next generation sequencing (NGS) technology is a widely accepted tool used by microbial ecologists to explore complex microbial communities in different ecosystems. As new NGS platforms continue to become available, it becomes imperative to compare data obtained from different platforms and analyze...

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Autores principales: Indugu, Nagaraju, Bittinger, Kyle, Kumar, Sanjay, Vecchiarelli, Bonnie, Pitta, Dipti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748696/
https://www.ncbi.nlm.nih.gov/pubmed/26870608
http://dx.doi.org/10.7717/peerj.1599
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author Indugu, Nagaraju
Bittinger, Kyle
Kumar, Sanjay
Vecchiarelli, Bonnie
Pitta, Dipti
author_facet Indugu, Nagaraju
Bittinger, Kyle
Kumar, Sanjay
Vecchiarelli, Bonnie
Pitta, Dipti
author_sort Indugu, Nagaraju
collection PubMed
description Next generation sequencing (NGS) technology is a widely accepted tool used by microbial ecologists to explore complex microbial communities in different ecosystems. As new NGS platforms continue to become available, it becomes imperative to compare data obtained from different platforms and analyze their effect on microbial community structure. In the present study, we compared sequencing data from both the 454 and Ion Torrent (PGM) platforms on the same DNA samples obtained from the rumen of dairy cows during their transition period. Despite the substantial difference in the number of reads, error rate and length of reads among both platforms, we identified similar community composition between the two data sets. Procrustes analysis revealed similar correlations (M(2) = 0.319; P = 0.001) in the microbial community composition between the two platforms. Both platforms revealed the abundance of the same bacterial phyla which were Bacteroidetes and Firmicutes; however, PGM recovered an additional four phyla. Comparisons made at the genus level by each platforms revealed differences in only a few genera such as Prevotella, Ruminococcus, Succiniclasticum and Treponema (p < 0.05; chi square test). Collectively, we conclude that the output generated from PGM and 454 yielded concurrent results, provided stringent bioinformatics pipelines are employed.
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spelling pubmed-47486962016-02-11 A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms Indugu, Nagaraju Bittinger, Kyle Kumar, Sanjay Vecchiarelli, Bonnie Pitta, Dipti PeerJ Bioinformatics Next generation sequencing (NGS) technology is a widely accepted tool used by microbial ecologists to explore complex microbial communities in different ecosystems. As new NGS platforms continue to become available, it becomes imperative to compare data obtained from different platforms and analyze their effect on microbial community structure. In the present study, we compared sequencing data from both the 454 and Ion Torrent (PGM) platforms on the same DNA samples obtained from the rumen of dairy cows during their transition period. Despite the substantial difference in the number of reads, error rate and length of reads among both platforms, we identified similar community composition between the two data sets. Procrustes analysis revealed similar correlations (M(2) = 0.319; P = 0.001) in the microbial community composition between the two platforms. Both platforms revealed the abundance of the same bacterial phyla which were Bacteroidetes and Firmicutes; however, PGM recovered an additional four phyla. Comparisons made at the genus level by each platforms revealed differences in only a few genera such as Prevotella, Ruminococcus, Succiniclasticum and Treponema (p < 0.05; chi square test). Collectively, we conclude that the output generated from PGM and 454 yielded concurrent results, provided stringent bioinformatics pipelines are employed. PeerJ Inc. 2016-02-04 /pmc/articles/PMC4748696/ /pubmed/26870608 http://dx.doi.org/10.7717/peerj.1599 Text en ©2016 Indugu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Indugu, Nagaraju
Bittinger, Kyle
Kumar, Sanjay
Vecchiarelli, Bonnie
Pitta, Dipti
A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms
title A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms
title_full A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms
title_fullStr A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms
title_full_unstemmed A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms
title_short A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms
title_sort comparison of rumen microbial profiles in dairy cows as retrieved by 454 roche and ion torrent (pgm) sequencing platforms
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748696/
https://www.ncbi.nlm.nih.gov/pubmed/26870608
http://dx.doi.org/10.7717/peerj.1599
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