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Linkage analysis and integrated software GAPL for pure-line populations derived from four-way and eight-way crosses
- Source :
- Crop Journal, Vol 7, Iss 3, Pp 283-293 (2019)
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Pure lines derived from multiple parents provide abundant variation for genetic study. However, efficient genetic analysis methods and user-friendly software are still lacking. In this study, we developed linkage analysis methods and integrated analysis software for pure-line populations derived from four-way and eight-way crosses. First, polymorphic markers are classified into different categories according to the number of identifiable alleles in the inbred parents. Expected genotypic probability is then derived for each pair of complete markers, and based on them a maximum likelihood estimate (MLE) of recombination frequency is calculated. An EM algorithm is proposed for calculating recombination frequencies in scenarios that at least one marker is incomplete. A linkage map can thus be constructed using estimated recombination frequencies. We describe a software package called GAPL for recombination frequency estimation and linkage map construction in multi-parental pure-line populations. Both simulation studies and results from a reported four-way cross recombinant inbred line population demonstrate that the proposed method and software can build more accurate linkage maps in shorter times than other published software packages. The GAPL software is freely available from www.isbreeding.net and can also be used for QTL mapping in multi-parental populations. Keywords: Pure lines, Four-way cross, Eight-way cross, Recombination frequency estimation, Integrated software
- Subjects :
- 0106 biological sciences
0301 basic medicine
Population
Plant Science
Quantitative trait locus
Biology
01 natural sciences
lcsh:Agriculture
03 medical and health sciences
Software
Genetic linkage
Expectation–maximization algorithm
lcsh:Agriculture (General)
education
Linkage (software)
education.field_of_study
business.industry
Integrated software
lcsh:S
lcsh:S1-972
030104 developmental biology
Line (text file)
business
Agronomy and Crop Science
Algorithm
010606 plant biology & botany
Subjects
Details
- ISSN :
- 22145141
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- The Crop Journal
- Accession number :
- edsair.doi.dedup.....95f00677b0f2ca27e80f465f3ac252b4
- Full Text :
- https://doi.org/10.1016/j.cj.2018.10.006