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Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA
BACKGROUND: The application of genomic data and bioinformatics for the identification of restricted or illegally-sourced natural products is urgently needed. The taxonomic identity and geographic provenance of raw and processed materials have implications in sustainable-use commercial practices, and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288960/ https://www.ncbi.nlm.nih.gov/pubmed/30526482 http://dx.doi.org/10.1186/s12864-018-5253-1 |
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author | Tang, Kujin Ren, Jie Cronn, Richard Erickson, David L. Milligan, Brook G. Parker-Forney, Meaghan Spouge, John L. Sun, Fengzhu |
author_facet | Tang, Kujin Ren, Jie Cronn, Richard Erickson, David L. Milligan, Brook G. Parker-Forney, Meaghan Spouge, John L. Sun, Fengzhu |
author_sort | Tang, Kujin |
collection | PubMed |
description | BACKGROUND: The application of genomic data and bioinformatics for the identification of restricted or illegally-sourced natural products is urgently needed. The taxonomic identity and geographic provenance of raw and processed materials have implications in sustainable-use commercial practices, and relevance to the enforcement of laws that regulate or restrict illegally harvested materials, such as timber. Improvements in genomics make it possible to capture and sequence partial-to-complete genomes from challenging tissues, such as wood and wood products. RESULTS: In this paper, we report the success of an alignment-free genome comparison method, [Formula: see text] that differentiates different geographic sources of white oak (Quercus) species with a high level of accuracy with very small amount of genomic data. The method is robust to sequencing errors, different sequencing laboratories and sequencing platforms. CONCLUSIONS: This method offers an approach based on genome-scale data, rather than panels of pre-selected markers for specific taxa. The method provides a generalizable platform for the identification and sourcing of materials using a unified next generation sequencing and analysis framework. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5253-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6288960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62889602018-12-14 Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA Tang, Kujin Ren, Jie Cronn, Richard Erickson, David L. Milligan, Brook G. Parker-Forney, Meaghan Spouge, John L. Sun, Fengzhu BMC Genomics Research Article BACKGROUND: The application of genomic data and bioinformatics for the identification of restricted or illegally-sourced natural products is urgently needed. The taxonomic identity and geographic provenance of raw and processed materials have implications in sustainable-use commercial practices, and relevance to the enforcement of laws that regulate or restrict illegally harvested materials, such as timber. Improvements in genomics make it possible to capture and sequence partial-to-complete genomes from challenging tissues, such as wood and wood products. RESULTS: In this paper, we report the success of an alignment-free genome comparison method, [Formula: see text] that differentiates different geographic sources of white oak (Quercus) species with a high level of accuracy with very small amount of genomic data. The method is robust to sequencing errors, different sequencing laboratories and sequencing platforms. CONCLUSIONS: This method offers an approach based on genome-scale data, rather than panels of pre-selected markers for specific taxa. The method provides a generalizable platform for the identification and sourcing of materials using a unified next generation sequencing and analysis framework. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5253-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-10 /pmc/articles/PMC6288960/ /pubmed/30526482 http://dx.doi.org/10.1186/s12864-018-5253-1 Text en © The Author(s). 2018 Open Access This 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 | Research Article Tang, Kujin Ren, Jie Cronn, Richard Erickson, David L. Milligan, Brook G. Parker-Forney, Meaghan Spouge, John L. Sun, Fengzhu Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA |
title | Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA |
title_full | Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA |
title_fullStr | Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA |
title_full_unstemmed | Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA |
title_short | Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA |
title_sort | alignment-free genome comparison enables accurate geographic sourcing of white oak dna |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288960/ https://www.ncbi.nlm.nih.gov/pubmed/30526482 http://dx.doi.org/10.1186/s12864-018-5253-1 |
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