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Front. Plant Sci. | doi: 10.3389/fpls.2018.01455

Genetic analysis of Chinese cabbage reveals correlation between rosette leaf and leafy head variation

 XiaoXue Sun1,  Shuangxia Luo2, Lei Luo2, Xing Wang2, Xuping Chen2, Lu Yin2, Shuxing Shen2*,  Jianjun Zhao2* and  Guusje Bonnema1*
  • 1Wageningen University & Research, Netherlands
  • 2Agricultural University of Hebei, China

To understand the genetic regulation of the domestication trait leafy-head formation of Chinese cabbages, we exploit the diversity within Brassica rapa. To improve our understanding of the relationship between variation in rosette-leaves and leafy heads, we phenotyped a diversity set of 152 Chinese cabbages. This showed correlation between rosette-leaf traits and both head traits and heading capacity. Interestingly, the leaf number of the mature head is not correlated to heading degree nor head shape. We then chose a non-heading pak choi genotype to cross to a Chinese cabbage to generate populations segregating for the leafy head traits. Both a large F2 (485 plants) and a smaller Doubled Haploid (88 lines) mapping population were generated. A high density DH-88 genetic map using the Brassica SNP array and an F2 map with a subset of these SNPs and InDel markers was used for quantitative trait locus (QTL) analysis. Thirty-one quantitative trait loci (QTLs) were identified for phenotypes of rosette-leaves in time and both heading degree and several heading traits. On chromosome A06 in both DH-88 and F2-485 QTLs for rosette leaf length and petiole length at different developmental days and an F2 QTL for head height co-located. Variation in head height, width and weight all correlate with variation in heading degree with co-locating QTLs respectively on chromosome A03, A05 and A08 in F2-485. The correlation between rosette-leaf and heading traits provides not only insight in the leaf requirements to form a head, but also can be used for selection by Chinese cabbage breeders.

Keywords: Chinese cabbage, Rosette leaf, leafy head, heading degree, Correlation, co-location of QTL

Received: 29 Jun 2018; Accepted: 12 Sep 2018.

Edited by:

Jacqueline Batley, University of Western Australia, Australia

Reviewed by:

Ryo Fujimoto, Kobe University, Japan
Yang Zhang, St. Jude Children's Research Hospital, United States  

Copyright: © 2018 Sun, Luo, Luo, Wang, Chen, Yin, Shen, Zhao and Bonnema. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Prof. Shuxing Shen, Agricultural University of Hebei, Baoding, Hebei Province, China, shensx@hebau.edu.cn
Prof. Jianjun Zhao, Agricultural University of Hebei, Baoding, Hebei Province, China, jjz1971@aliyun.com
Prof. Guusje Bonnema, Wageningen University & Research, Wageningen, Netherlands, guusje.bonnema@wur.nl