Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool.
Gut microbiome community analysis is used to understand many diseases like inflammatory bowel disease, obesity, and diabetes. Sampling methods are an important consideration for human microbiome research, yet are not emphasized in many studies. In this study, we demonstrate that the preparation, han...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4529225?pdf=render |
| _version_ | 1818969971164708864 |
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| author | Monika A Gorzelak Sandeep K Gill Nishat Tasnim Zahra Ahmadi-Vand Michael Jay Deanna L Gibson |
| author_facet | Monika A Gorzelak Sandeep K Gill Nishat Tasnim Zahra Ahmadi-Vand Michael Jay Deanna L Gibson |
| author_sort | Monika A Gorzelak |
| collection | DOAJ |
| description | Gut microbiome community analysis is used to understand many diseases like inflammatory bowel disease, obesity, and diabetes. Sampling methods are an important consideration for human microbiome research, yet are not emphasized in many studies. In this study, we demonstrate that the preparation, handling, and storage of human faeces are critical processes that alter the outcomes of downstream DNA-based bacterial community analyses via qPCR. We found that stool subsampling resulted in large variability of gut microbiome data due to different microenvironments harbouring various taxa within an individual stool. However, we reduced intra-sample variability by homogenizing the entire stool sample in liquid nitrogen and subsampling from the resulting crushed powder prior to DNA extraction. We experimentally determined that the bacterial taxa varied with room temperature storage beyond 15 minutes and beyond three days storage in a domestic frost-free freezer. While freeze thawing only had an effect on bacterial taxa abundance beyond four cycles, the use of samples stored in RNAlater should be avoided as overall DNA yields were reduced as well as the detection of bacterial taxa. Overall we provide solutions for processing and storing human stool samples that reduce variability of microbiome data. We recommend that stool is frozen within 15 minutes of being defecated, stored in a domestic frost-free freezer for less than three days, and homogenized prior to DNA extraction. Adoption of these simple protocols will have a significant and positive impact on future human microbiome research. |
| first_indexed | 2024-12-20T14:29:03Z |
| format | Article |
| id | doaj.art-c702e24278344ea1bb6ce5306ef4a8d9 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-20T14:29:03Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-c702e24278344ea1bb6ce5306ef4a8d92022-12-21T19:37:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01108e013480210.1371/journal.pone.0134802Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool.Monika A GorzelakSandeep K GillNishat TasnimZahra Ahmadi-VandMichael JayDeanna L GibsonGut microbiome community analysis is used to understand many diseases like inflammatory bowel disease, obesity, and diabetes. Sampling methods are an important consideration for human microbiome research, yet are not emphasized in many studies. In this study, we demonstrate that the preparation, handling, and storage of human faeces are critical processes that alter the outcomes of downstream DNA-based bacterial community analyses via qPCR. We found that stool subsampling resulted in large variability of gut microbiome data due to different microenvironments harbouring various taxa within an individual stool. However, we reduced intra-sample variability by homogenizing the entire stool sample in liquid nitrogen and subsampling from the resulting crushed powder prior to DNA extraction. We experimentally determined that the bacterial taxa varied with room temperature storage beyond 15 minutes and beyond three days storage in a domestic frost-free freezer. While freeze thawing only had an effect on bacterial taxa abundance beyond four cycles, the use of samples stored in RNAlater should be avoided as overall DNA yields were reduced as well as the detection of bacterial taxa. Overall we provide solutions for processing and storing human stool samples that reduce variability of microbiome data. We recommend that stool is frozen within 15 minutes of being defecated, stored in a domestic frost-free freezer for less than three days, and homogenized prior to DNA extraction. Adoption of these simple protocols will have a significant and positive impact on future human microbiome research.http://europepmc.org/articles/PMC4529225?pdf=render |
| spellingShingle | Monika A Gorzelak Sandeep K Gill Nishat Tasnim Zahra Ahmadi-Vand Michael Jay Deanna L Gibson Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool. PLoS ONE |
| title | Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool. |
| title_full | Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool. |
| title_fullStr | Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool. |
| title_full_unstemmed | Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool. |
| title_short | Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool. |
| title_sort | methods for improving human gut microbiome data by reducing variability through sample processing and storage of stool |
| url | http://europepmc.org/articles/PMC4529225?pdf=render |
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