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High-Density Genetic Map Construction and QTL Mapping of Leaf and Needling Traits in Ziziphus jujuba Mill.


ABSTRACT: The Chinese jujube (Ziziphus jujuba Mill., 2n = 2x = 24), one of the most popular fruit trees in Asia, is widely cultivated and utilized in China, where it is traditionally consumed as both a fresh and dried food resource. A high-density genetic map can provide the necessary framework for quantitative trait loci (QTL) analyses and map-based gene cloning and molecular breeding. In this study, we constructed a new high-density genetic linkage map via a genotyping-by-sequencing approach. For the consensus linkage map, a total of 3,792 markers spanning 2,167.5 cM were mapped onto 12 linkage groups, with an average marker interval distance of 0.358 cM. The genetic map anchored 301 Mb (85.7%) of scaffolds from the sequenced Z. jujuba "Junzao" genome. Based on this genetic map, 30 potential QTLs were detected, including 27 QTLs for leaf traits and 3 QTLs for needling length. This high-density genetic map and the identified QTLs for relevant agronomic traits lay the groundwork for functional genetic mapping, map-based cloning, and marker-assisted selection in jujube.

SUBMITTER: Wang Z 

PROVIDER: S-EPMC6882864 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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High-Density Genetic Map Construction and QTL Mapping of Leaf and Needling Traits in <i>Ziziphus jujuba</i> Mill.

Wang Zhongtang Z   Zhang Zhong Z   Tang Haixia H   Zhang Qiong Q   Zhou Guangfang G   Li Xingang X  

Frontiers in plant science 20191122


The Chinese jujube (<i>Ziziphus jujuba</i> Mill., 2<i>n</i> = 2<i>x</i> = 24), one of the most popular fruit trees in Asia, is widely cultivated and utilized in China, where it is traditionally consumed as both a fresh and dried food resource. A high-density genetic map can provide the necessary framework for quantitative trait loci (QTL) analyses and map-based gene cloning and molecular breeding. In this study, we constructed a new high-density genetic linkage map <i>via</i> a genotyping-by-seq  ...[more]

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