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High-Density Genetic Map Construction and Stem Total Polysaccharide Content-Related QTL Exploration for Chinese Endemic Dendrobium (Orchidaceae)

Overview of attention for article published in Frontiers in Plant Science, March 2018
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Title
High-Density Genetic Map Construction and Stem Total Polysaccharide Content-Related QTL Exploration for Chinese Endemic Dendrobium (Orchidaceae)
Published in
Frontiers in Plant Science, March 2018
DOI 10.3389/fpls.2018.00398
Pubmed ID
Authors

Jiangjie Lu, Yuyang Liu, Jing Xu, Ziwei Mei, Yujun Shi, Pengli Liu, Jianbo He, Xiaotong Wang, Yijun Meng, Shangguo Feng, Chenjia Shen, Huizhong Wang

Abstract

Plants of the Dendrobium genus are orchids with not only ornamental value but also high medicinal value. To understand the genetic basis of variations in active ingredients of the stem total polysaccharide contents (STPCs) among different Dendrobium species, it is of paramount importance to understand the mechanism of STPC formation and identify genes affecting its process at the whole genome level. Here, we report the first high-density single-nucleotide polymorphism (SNP) integrated genetic map with a good genome coverage of Dendrobium. The specific-locus amplified fragment sequencing (SLAF-seq) technology led to identification of 7,013,400 SNPs from 1,503,626 high-quality SLAF markers from two parents (Dendrobium moniliforme ♀ × Dendrobium officinale ♂) and their interspecific F1 hybrid population. The final genetic map contained 8, 573 SLAF markers, covering 19 linkage groups (LGs). This genetic map spanned a length of 2,737.49 cM, where the average distance between markers is 0.32 cM. In total, 5 quantitative trait loci (QTL) related to STPC were identified, 3 of which have candidate genes within the confidence intervals of these stable QTLs based on the D. officinale genome sequence. This study will build a foundation up for the mapping of other medicinal-related traits and provide an important reference for the molecular breeding of these Chinese herb.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Master 3 18%
Student > Doctoral Student 2 12%
Professor 1 6%
Researcher 1 6%
Other 0 0%
Unknown 6 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 41%
Biochemistry, Genetics and Molecular Biology 4 24%
Medicine and Dentistry 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2018.
All research outputs
#18,604,390
of 23,045,021 outputs
Outputs from Frontiers in Plant Science
#14,036
of 20,607 outputs
Outputs of similar age
#256,387
of 330,042 outputs
Outputs of similar age from Frontiers in Plant Science
#365
of 454 outputs
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