Cargando…

A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data

Microsatellites are useful tools for ecologists and conservationist biologists, but are taxa-specific and traditionally expensive and time-consuming to develop. New methods using next-generation sequencing (NGS) have reduced these problems, but the plethora of software available for processing NGS d...

Descripción completa

Detalles Bibliográficos
Autores principales: Griffiths, Sarah M., Fox, Graeme, Briggs, Peter J., Donaldson, Ian J., Hood, Simon, Richardson, Pen, Leaver, George W., Truelove, Nathan K., Preziosi, Richard F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175698/
https://www.ncbi.nlm.nih.gov/pubmed/32355508
http://dx.doi.org/10.1007/s12686-016-0570-7
_version_ 1783524883172425728
author Griffiths, Sarah M.
Fox, Graeme
Briggs, Peter J.
Donaldson, Ian J.
Hood, Simon
Richardson, Pen
Leaver, George W.
Truelove, Nathan K.
Preziosi, Richard F.
author_facet Griffiths, Sarah M.
Fox, Graeme
Briggs, Peter J.
Donaldson, Ian J.
Hood, Simon
Richardson, Pen
Leaver, George W.
Truelove, Nathan K.
Preziosi, Richard F.
author_sort Griffiths, Sarah M.
collection PubMed
description Microsatellites are useful tools for ecologists and conservationist biologists, but are taxa-specific and traditionally expensive and time-consuming to develop. New methods using next-generation sequencing (NGS) have reduced these problems, but the plethora of software available for processing NGS data may cause confusion and difficulty for researchers new to the field of bioinformatics. We developed a bioinformatics pipeline for microsatellite development from Illumina paired-end sequences, which is packaged in the open-source bioinformatics tool Galaxy. This optimises and streamlines the design of a microsatellite panel and provides a user-friendly graphical user interface. The pipeline utilises existing programs along with our own novel program and wrappers to: quality-filter and trim reads (Trimmomatic); generate sequence quality reports (FastQC); identify potentially-amplifiable microsatellite loci (Pal_finder); design primers (Primer3); assemble pairs of reads to enhance marker amplification success rates (PANDAseq); and filter optimal loci (Pal_filter). The complete pipeline is freely available for use via a pre-configured Galaxy instance, accessible at https://palfinder.ls.manchester.ac.uk.
format Online
Article
Text
id pubmed-7175698
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer Netherlands
record_format MEDLINE/PubMed
spelling pubmed-71756982020-04-28 A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data Griffiths, Sarah M. Fox, Graeme Briggs, Peter J. Donaldson, Ian J. Hood, Simon Richardson, Pen Leaver, George W. Truelove, Nathan K. Preziosi, Richard F. Conserv Genet Resour Methods and Resources Article Microsatellites are useful tools for ecologists and conservationist biologists, but are taxa-specific and traditionally expensive and time-consuming to develop. New methods using next-generation sequencing (NGS) have reduced these problems, but the plethora of software available for processing NGS data may cause confusion and difficulty for researchers new to the field of bioinformatics. We developed a bioinformatics pipeline for microsatellite development from Illumina paired-end sequences, which is packaged in the open-source bioinformatics tool Galaxy. This optimises and streamlines the design of a microsatellite panel and provides a user-friendly graphical user interface. The pipeline utilises existing programs along with our own novel program and wrappers to: quality-filter and trim reads (Trimmomatic); generate sequence quality reports (FastQC); identify potentially-amplifiable microsatellite loci (Pal_finder); design primers (Primer3); assemble pairs of reads to enhance marker amplification success rates (PANDAseq); and filter optimal loci (Pal_filter). The complete pipeline is freely available for use via a pre-configured Galaxy instance, accessible at https://palfinder.ls.manchester.ac.uk. Springer Netherlands 2016-08-02 2016 /pmc/articles/PMC7175698/ /pubmed/32355508 http://dx.doi.org/10.1007/s12686-016-0570-7 Text en © The Author(s) 2016 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.
spellingShingle Methods and Resources Article
Griffiths, Sarah M.
Fox, Graeme
Briggs, Peter J.
Donaldson, Ian J.
Hood, Simon
Richardson, Pen
Leaver, George W.
Truelove, Nathan K.
Preziosi, Richard F.
A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data
title A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data
title_full A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data
title_fullStr A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data
title_full_unstemmed A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data
title_short A Galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from Illumina next-generation sequencing data
title_sort galaxy-based bioinformatics pipeline for optimised, streamlined microsatellite development from illumina next-generation sequencing data
topic Methods and Resources Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175698/
https://www.ncbi.nlm.nih.gov/pubmed/32355508
http://dx.doi.org/10.1007/s12686-016-0570-7
work_keys_str_mv AT griffithssarahm agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT foxgraeme agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT briggspeterj agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT donaldsonianj agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT hoodsimon agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT richardsonpen agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT leavergeorgew agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT truelovenathank agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT preziosirichardf agalaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT griffithssarahm galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT foxgraeme galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT briggspeterj galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT donaldsonianj galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT hoodsimon galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT richardsonpen galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT leavergeorgew galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT truelovenathank galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata
AT preziosirichardf galaxybasedbioinformaticspipelineforoptimisedstreamlinedmicrosatellitedevelopmentfromilluminanextgenerationsequencingdata