Molecular Breeding

, 39:106 | Cite as

Construction of the first high-density genetic map and QTL mapping for photosynthetic traits in Lycium barbarum L.

  • Haiguang Gong
  • Fazal Rehman
  • Tianshun Yang
  • Zhong Li
  • Shaohua Zeng
  • Lizhu Pan
  • Yongqing Li
  • Ying WangEmail author


Photosynthesis is essential for plant development as well as crop yield. QTL mapping was conducted for photosynthetic traits such as net photosynthetic rate (PN), stomatal conductance (Cond), inner-cellular carbon dioxide (Ci), transpiration rate (Trmmol), limiting value of the stoma (Ls), and water use efficiency (WUE). A high-density genetic map covering 964.03 cM was developed based on a hybrid population of the Goji (Lycium barbarum L.). The genetic map consisted of 23,967 markers with an average distance of 0.040 cM between two adjacent markers. Twenty-nine and three quantitative trait loci (QTLs) for photosynthetic traits and trunk diameter (TD), respectively, were detected, of which 8 QTLs, including 3 for PN, 2 for Cond, 1 for Trmmol, 1 for Ci, and 1 for Ls, can be detected in at least 2-year measurements (from 2017 and 2018, as well as the averaged data from 2017 and 2018, which was regarded as a 3rd year, named 1718). Among these measurements, qPN1 was detected in all 3 years and considered a stable QTL whereas qLs1 and qLs2 with the highest phenotypic variance explained (PVE%) 32.012 and 17.965 were detected as major QTLs. PN, Cond, Ci, Trmmol, Ls, and WUE showed significant correlations with each other except for Cond and WUE whereas PN and Cond were significantly correlated with TD (P < 0.05). These findings indicate that PN and Cond are critical factors for the growth of plants and QTLs contribute to PN, Cond, and TD, which could provide an improved way to enhance the breeding of the Goji in relation to its growth rate.


Genetic map ddRAD-seq QTL mapping Goji berry Photosynthesis 



We also would like to thank Professor Kede Liu for his kind suggestions and help with the data analysis. We appreciated Bairuiyuan Company and Northwest Agriculture Research Center for their help with maintaining the goji orchard.

Funding information

This work was supported by the National Key R&D Project of China (2018YFD1000607), a grant from the Chinese Academy of Sciences (XDA13020604), National Natural Science Foundation of China (31770334), Youth Innovation Promotion Association CAS (2015286), and Ningxia Agricultural Comprehensive Development Science and Technology Project (NTKJ2018-07).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Haiguang Gong
    • 1
    • 2
  • Fazal Rehman
    • 1
    • 2
  • Tianshun Yang
    • 1
  • Zhong Li
    • 3
  • Shaohua Zeng
    • 1
    • 4
  • Lizhu Pan
    • 1
  • Yongqing Li
    • 1
    • 2
  • Ying Wang
    • 1
    • 2
    Email author
  1. 1.Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical GardenChinese Academy of SciencesGuangzhouPeople’s Republic of China
  2. 2.University of Chinese Academy of SciencesBeijingPeople’s Republic of China
  3. 3.Bairuiyuan CompanyYinchuanPeople’s Republic of China
  4. 4.GNNU-SCBG Joint Laboratory of Modern Agricultural Technology, Gannan Normal UniversityGanzhouPeople’s Republic of China

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