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PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes

BACKGROUND: Plastome (plastid genome) sequences provide valuable information for understanding the phylogenetic relationships and evolutionary history of plants. Although the rapid development of high-throughput sequencing technology has led to an explosion of plastome sequences, annotation remains...

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Autores principales: Qu, Xiao-Jian, Moore, Michael J., Li, De-Zhu, Yi, Ting-Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528300/
https://www.ncbi.nlm.nih.gov/pubmed/31139240
http://dx.doi.org/10.1186/s13007-019-0435-7
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author Qu, Xiao-Jian
Moore, Michael J.
Li, De-Zhu
Yi, Ting-Shuang
author_facet Qu, Xiao-Jian
Moore, Michael J.
Li, De-Zhu
Yi, Ting-Shuang
author_sort Qu, Xiao-Jian
collection PubMed
description BACKGROUND: Plastome (plastid genome) sequences provide valuable information for understanding the phylogenetic relationships and evolutionary history of plants. Although the rapid development of high-throughput sequencing technology has led to an explosion of plastome sequences, annotation remains a significant bottleneck for plastomes. User-friendly batch annotation of multiple plastomes is an urgent need. RESULTS: We introduce Plastid Genome Annotator (PGA), a standalone command line tool that can perform rapid, accurate, and flexible batch annotation of newly generated target plastomes based on well-annotated reference plastomes. In contrast to current existing tools, PGA uses reference plastomes as the query and unannotated target plastomes as the subject to locate genes, which we refer to as the reverse query-subject BLAST search approach. PGA accurately identifies gene and intron boundaries as well as intron loss. The program outputs GenBank-formatted files as well as a log file to assist users in verifying annotations. Comparisons against other available plastome annotation tools demonstrated the high annotation accuracy of PGA, with little or no post-annotation verification necessary. Likewise, we demonstrated the flexibility of reference plastomes within PGA by annotating the plastome of Rosa roxburghii using that of Amborella trichopoda as a reference. The program, user manual and example data sets are freely available at https://github.com/quxiaojian/PGA. CONCLUSIONS: PGA facilitates rapid, accurate, and flexible batch annotation of plastomes across plants. For projects in which multiple plastomes are generated, the time savings for high-quality plastome annotation are especially significant.
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spelling pubmed-65283002019-05-28 PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes Qu, Xiao-Jian Moore, Michael J. Li, De-Zhu Yi, Ting-Shuang Plant Methods Software BACKGROUND: Plastome (plastid genome) sequences provide valuable information for understanding the phylogenetic relationships and evolutionary history of plants. Although the rapid development of high-throughput sequencing technology has led to an explosion of plastome sequences, annotation remains a significant bottleneck for plastomes. User-friendly batch annotation of multiple plastomes is an urgent need. RESULTS: We introduce Plastid Genome Annotator (PGA), a standalone command line tool that can perform rapid, accurate, and flexible batch annotation of newly generated target plastomes based on well-annotated reference plastomes. In contrast to current existing tools, PGA uses reference plastomes as the query and unannotated target plastomes as the subject to locate genes, which we refer to as the reverse query-subject BLAST search approach. PGA accurately identifies gene and intron boundaries as well as intron loss. The program outputs GenBank-formatted files as well as a log file to assist users in verifying annotations. Comparisons against other available plastome annotation tools demonstrated the high annotation accuracy of PGA, with little or no post-annotation verification necessary. Likewise, we demonstrated the flexibility of reference plastomes within PGA by annotating the plastome of Rosa roxburghii using that of Amborella trichopoda as a reference. The program, user manual and example data sets are freely available at https://github.com/quxiaojian/PGA. CONCLUSIONS: PGA facilitates rapid, accurate, and flexible batch annotation of plastomes across plants. For projects in which multiple plastomes are generated, the time savings for high-quality plastome annotation are especially significant. BioMed Central 2019-05-21 /pmc/articles/PMC6528300/ /pubmed/31139240 http://dx.doi.org/10.1186/s13007-019-0435-7 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
Qu, Xiao-Jian
Moore, Michael J.
Li, De-Zhu
Yi, Ting-Shuang
PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes
title PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes
title_full PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes
title_fullStr PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes
title_full_unstemmed PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes
title_short PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes
title_sort pga: a software package for rapid, accurate, and flexible batch annotation of plastomes
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528300/
https://www.ncbi.nlm.nih.gov/pubmed/31139240
http://dx.doi.org/10.1186/s13007-019-0435-7
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