SimpleMap: A Pipeline to Streamline High‐Density Linkage Map Construction

cg.contactA.Jighly@cgiar.orgen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerYokohama City University, Kihara Institute for Biological Research - YCUen_US
cg.contributor.centerLa Trobe University, Centre For AgriBioscience, Bundoora Centre - LATROBE - AgriBio - Bundooraen_US
cg.contributor.centerLa Trobe University - LATROBEen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.identifier.doihttps://dx.doi.org/10.3835/plantgenome2014.09.0056en_US
cg.isijournalISI Journalen_US
cg.issn1940-3372en_US
cg.issue2en_US
cg.journalThe Plant Genomeen_US
cg.subject.agrovocstatisticsen_US
cg.volume8en_US
dc.contributorJoukhadar, Reemen_US
dc.contributorAlagu, Manickaveluen_US
dc.creatorJighly, Abdul-Qaderen_US
dc.date.accessioned2022-04-12T21:29:45Z
dc.date.available2022-04-12T21:29:45Z
dc.description.abstractThe recent development in high-throughput genotyping techniques requires new statistical methods to analyze large datasets. The current available linkage mapping software are time consuming and limited in terms of the maximum number of markers that can be mapped on a single linkage group. In this paper, we propose the Perl pipeline, SimpleMap. This tool can significantly improve the speed of currently available linkage mapping software with minimal impact on marker order and map length by limiting the consideration of duplicated and tightly linked molecular markers during linkage group development. SimpleMap works with the following three main steps: (i) generating a subset of markers for which each pair has a number of recombinants higher than a threshold determined by the user (the repulsion threshold), (ii) mapping this subset with any external mapping tool, and (iii) intersecting the remaining unmapped markers to the constructed map. The script was tested on 15 wheat (Triticum aestivum L.) linkage groups derived from two different crosses. In 13 genetic groups, the computational time was reduced from similar to 8 h to similar to 8 min, while it was impossible to map the remaining two linkage groups without applying SimpleMap first. SimpleMap is a very time-efficient tool, and considering a repulsion threshold equivalent to 1 cM results in a number of markers similar to map lengths that can be analyzed on a simple personal computer. SimpleMap can be downloaded from http://simplemap-aj.sourceforge.net/.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/0858d66cf800e913fe03892bb0bb2555/v/48b7cf8b1b88b7b0f5dd4348bd7c41c4en_US
dc.identifier.citationAbdul-Qader Jighly, Reem Joukhadar, Manickavelu Alagu. (1/7/2015). SimpleMap: A Pipeline to Streamline High‐Density Linkage Map Construction. The Plant Genome, 8 (2).en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/67327
dc.languageenen_US
dc.publisherCrop Science Society of Americaen_US
dc.rightsCC-BY-NC-ND-4.0en_US
dc.sourceThe Plant Genome;8,(2015)en_US
dc.subjectsimplemapen_US
dc.titleSimpleMap: A Pipeline to Streamline High‐Density Linkage Map Constructionen_US
dc.typeJournal Articleen_US
dcterms.available2015-07-01en_US
mel.impact-factor4.089en_US

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