Genetic control of juvenile growth and botanical architecture in an ornamental woody plant, Prunus mumeSieb. et Zucc. as revealed by a high-density linkage map

BMC Genetics

Proceedings

Kaifeng Ma¹  Lidan Sun¹  Jia Wang¹  Weiru Yang¹  Huitang Pan¹  Tangren Cheng¹  Qixiang Zhang¹  Xuli Zhu²  Chengfei Zheng²  Rongling Wu³  Yaqun Wang³  Xiaolan Yan⁴ 

[1] Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, 100083, Beijing, China;Center for Computational Biology, College of Biological Science and Technology, Beijing Forestry University, 100083, Beijing, China;Center for Statistical Genetics, Pennsylvania State University, 17033, Hershey, PA, USA;Mei Research Center of China, 430074, Wuhan, China;

关键词: growth;    linkage map;    Mei;    morphology;    QTL;   

DOI  :  10.1186/1471-2156-15-S1-S1

来源: Springer

【 摘 要 】

Mei, Prunus mume Sieb. et Zucc., is an ornamental plant popular in East Asia and, as an important member of genus Prunus, has played a pivotal role in systematic studies of the Rosaceae. However, the genetic architecture of botanical traits in this species remains elusive. This paper represents the first genome-wide mapping study of quantitative trait loci (QTLs) that affect stem growth and form, leaf morphology and leaf anatomy in an intraspecific cross derived from two different mei cultivars. Genetic mapping based on a high-density linkage map constricted from 120 SSRs and 1,484 SNPs led to the detection of multiple QTLs for each trait, some of which exert pleiotropic effects on correlative traits. Each QTL explains 3-12% of the phenotypic variance. Several leaf size traits were found to share common QTLs, whereas growth-related traits and plant form traits might be controlled by a different set of QTLs. Our findings provide unique insights into the genetic control of tree growth and architecture in mei and help to develop an efficient breeding program for selecting superior mei cultivars.

【 授权许可】

Unknown   
© Sun et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.