Bibliographic Details
| Title: |
A comparison of rumen microbial profiles in dairy cows as retrieved by 454 Roche and Ion Torrent (PGM) sequencing platforms |
| Authors: |
Nagaraju Indugu, Kyle Bittinger, Sanjay Kumar, Bonnie Vecchiarelli, Dipti Pitta |
| Source: |
PeerJ, Vol 4, p e1599 (2016) |
| Publisher Information: |
PeerJ Inc., 2016. |
| Publication Year: |
2016 |
| Collection: |
LCC:Medicine
LCC:Biology (General) |
| Subject Terms: |
Next generation sequencing, Rumen microbiome, Transition period, Dairy cows, Medicine, Biology (General), QH301-705.5 |
| More Details: |
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 (M2 = 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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2167-8359 |
| Relation: |
https://peerj.com/articles/1599.pdf; https://peerj.com/articles/1599/; https://doaj.org/toc/2167-8359 |
| DOI: |
10.7717/peerj.1599 |
| Access URL: |
https://doaj.org/article/2193cf03be4f4054b1518f14dab44b30 |
| Accession Number: |
edsdoj.2193cf03be4f4054b1518f14dab44b30 |
| Database: |
Directory of Open Access Journals |
