Unknown

Dataset Information

0

Construction of a High-Density Genetic Map Based on Large-Scale Marker Development in Mango Using Specific-Locus Amplified Fragment Sequencing (SLAF-seq).


ABSTRACT: Genetic maps are particularly important and valuable tools for quantitative trait locus (QTL) mapping and marker assisted selection (MAS) of plant with desirable traits. In this study, 173 F1 plants from a cross between Mangifera indica L. "Jin-Hwang" and M. indica L. "Irwin" and their parent plants were subjected to high-throughput sequencing and specific-locus amplified fragment (SLAF) library construction. After preprocessing, 66.02 Gb of raw data containing 330.64 M reads were obtained. A total of 318,414 SLAFs were detected, of which 156,368 were polymorphic. Finally, 6594 SLAFs were organized into a linkage map consisting of 20 linkage groups (LGs). The total length of the map was 3148.28 cM and the average distance between adjacent markers was 0.48 cM. This map could be considered, to our knowledge, the first high-density genetic map of mango, and might form the basis for fine QTL mapping and MAS of mango.

SUBMITTER: Luo C 

PROVIDER: S-EPMC5003885 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications

Construction of a High-Density Genetic Map Based on Large-Scale Marker Development in Mango Using Specific-Locus Amplified Fragment Sequencing (SLAF-seq).

Luo Chun C   Shu Bo B   Yao Quangsheng Q   Wu Hongxia H   Xu Wentian W   Wang Songbiao S  

Frontiers in plant science 20160830


Genetic maps are particularly important and valuable tools for quantitative trait locus (QTL) mapping and marker assisted selection (MAS) of plant with desirable traits. In this study, 173 F1 plants from a cross between Mangifera indica L. "Jin-Hwang" and M. indica L. "Irwin" and their parent plants were subjected to high-throughput sequencing and specific-locus amplified fragment (SLAF) library construction. After preprocessing, 66.02 Gb of raw data containing 330.64 M reads were obtained. A to  ...[more]

Similar Datasets

| S-EPMC5528875 | biostudies-literature
| S-EPMC4285734 | biostudies-literature
| S-EPMC3852768 | biostudies-literature
| S-EPMC4915623 | biostudies-literature
| S-EPMC5739455 | biostudies-literature
| S-EPMC4452719 | biostudies-literature
| S-EPMC4819198 | biostudies-literature
| S-EPMC5379770 | biostudies-literature
| S-EPMC6345229 | biostudies-literature
| S-EPMC4635539 | biostudies-literature