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FACEPAI: a script for fast and consistent environmental DNA processing and identification
BACKGROUND: The use of environmental DNA (eDNA) has become an increasing important tool in environmental surveys and taxonomic research. High throughput sequencing of samples from soil, water, sediment, trap alcohol or bulk samples generate large amount of barcode sequences that can be assigned to a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896590/ https://www.ncbi.nlm.nih.gov/pubmed/31810454 http://dx.doi.org/10.1186/s12898-019-0269-1 |
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author | Wahlberg, Emma |
author_facet | Wahlberg, Emma |
author_sort | Wahlberg, Emma |
collection | PubMed |
description | BACKGROUND: The use of environmental DNA (eDNA) has become an increasing important tool in environmental surveys and taxonomic research. High throughput sequencing of samples from soil, water, sediment, trap alcohol or bulk samples generate large amount of barcode sequences that can be assigned to a known taxon with a reference sequence. This process can however be bioinformatic cumbersome and time consuming, especially for researchers without specialised bioinformatic training. A number of different software packages and pipelines are available, but require training in preparation of data, running of analysis and formatting results. Comparison of results produced by different packages are often difficult. RESULTS: FACEPIE is an open source script dependant on a few open source applications that provides a pipeline for rapid analysis and taxonomic assignment of environmental DNA samples. It requires an initial formatting of a reference database, using the script CaPReSe, and a configuration file and can thereafter be run to process any number of samples in succession using the same settings and references. Both configuration and executing are designed to demand as little hands on work as possible, while assuring repeatable results. CONCLUSION: The demonstration using example data from real environmental samples provides results in a time span ranging from less than 3 min to just above 15 min depending on the numbers of sequences to process. The memory usage is below 2 GB on a desktop PC. FACEPAI and CaPReSe provides a pipeline for analysing a large number of eDNA samples on common equipment, with little bioinformatic skills necessary, for subsequent ecological and taxonomical studies. |
format | Online Article Text |
id | pubmed-6896590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68965902019-12-11 FACEPAI: a script for fast and consistent environmental DNA processing and identification Wahlberg, Emma BMC Ecol Software BACKGROUND: The use of environmental DNA (eDNA) has become an increasing important tool in environmental surveys and taxonomic research. High throughput sequencing of samples from soil, water, sediment, trap alcohol or bulk samples generate large amount of barcode sequences that can be assigned to a known taxon with a reference sequence. This process can however be bioinformatic cumbersome and time consuming, especially for researchers without specialised bioinformatic training. A number of different software packages and pipelines are available, but require training in preparation of data, running of analysis and formatting results. Comparison of results produced by different packages are often difficult. RESULTS: FACEPIE is an open source script dependant on a few open source applications that provides a pipeline for rapid analysis and taxonomic assignment of environmental DNA samples. It requires an initial formatting of a reference database, using the script CaPReSe, and a configuration file and can thereafter be run to process any number of samples in succession using the same settings and references. Both configuration and executing are designed to demand as little hands on work as possible, while assuring repeatable results. CONCLUSION: The demonstration using example data from real environmental samples provides results in a time span ranging from less than 3 min to just above 15 min depending on the numbers of sequences to process. The memory usage is below 2 GB on a desktop PC. FACEPAI and CaPReSe provides a pipeline for analysing a large number of eDNA samples on common equipment, with little bioinformatic skills necessary, for subsequent ecological and taxonomical studies. BioMed Central 2019-12-06 /pmc/articles/PMC6896590/ /pubmed/31810454 http://dx.doi.org/10.1186/s12898-019-0269-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Wahlberg, Emma FACEPAI: a script for fast and consistent environmental DNA processing and identification |
title | FACEPAI: a script for fast and consistent environmental DNA processing and identification |
title_full | FACEPAI: a script for fast and consistent environmental DNA processing and identification |
title_fullStr | FACEPAI: a script for fast and consistent environmental DNA processing and identification |
title_full_unstemmed | FACEPAI: a script for fast and consistent environmental DNA processing and identification |
title_short | FACEPAI: a script for fast and consistent environmental DNA processing and identification |
title_sort | facepai: a script for fast and consistent environmental dna processing and identification |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896590/ https://www.ncbi.nlm.nih.gov/pubmed/31810454 http://dx.doi.org/10.1186/s12898-019-0269-1 |
work_keys_str_mv | AT wahlbergemma facepaiascriptforfastandconsistentenvironmentaldnaprocessingandidentification |