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High-Density Genetic Map Construction in Sugar Beet (Beta vulgaris L.) by High-Throughput Technology

A saturated genetic map can greatly promote the efficiency of gene mapping and marker-assisted selection (MAS) in plants. In the present study, we constructed an ultra-dense genetic map based on an F 1 population derived from a cross between 3a (high-yield, low-sugar, sterile, monogerm, diploid line...

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Published in:Sugar tech : an international journal of sugar crops & related industries 2018-04, Vol.20 (2), p.212-219
Main Authors: Wang, Maoqian, Xu, Yuhui, Wu, Zedong, Wang, Huazhong, Zhang, Hanguo
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Wang, Huazhong
Zhang, Hanguo
description A saturated genetic map can greatly promote the efficiency of gene mapping and marker-assisted selection (MAS) in plants. In the present study, we constructed an ultra-dense genetic map based on an F 1 population derived from a cross between 3a (high-yield, low-sugar, sterile, monogerm, diploid line) and 3b (low-yield, high-sugar, pollinated, polyembryonic, diploid line) using Specific-Locus Amplified Fragment sequencing (SLAF-seq) technology. A total of 201.10 million high-quality pair-end reads were generated by Illumina high-throughput sequencing and a total of 171,637 SLAFs were developed, of which 48,478 were polymorphic. Finally, 3287 polymorphic SLAFs were mapped into an ultra-dense genetic map containing nine linkage groups (LGs). These markers had average depths of 105.84-, 104.16-, and 9.03-fold in the male parent, female parent, and progeny, respectively. The genetic map spanned 1554.64 cM with an average distance of 0.47 cM between adjacent markers. There were on an average 365 markers per linkage group and marker numbers ranging from 214 on LG 1 to 513 on LG 7. This genetic map will make great improvement for fine mapping QTLs and MAS in sugar beet.
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subjects Agriculture
Biomedical and Life Sciences
Chromosomes
Gene mapping
Genetic crosses
Genetic linkage
Life Sciences
Mapping
Marker-assisted selection
Markers
Progeny
Quantitative trait loci
Research Article
Sugar
title High-Density Genetic Map Construction in Sugar Beet (Beta vulgaris L.) by High-Throughput Technology
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