4.7 Article

Mapping a double flower phenotype-associated gene DcAP2L in Dianthus chinensis

Journal

JOURNAL OF EXPERIMENTAL BOTANY
Volume 71, Issue 6, Pages 1915-1927

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/jxb/erz558

Keywords

BSR-seq; APETALA2 (DcAP2L); ddRAD; Dianthus chinensis; double flower trait; miR172; QTL mapping

Categories

Funding

  1. National Natural Science Foundation of China [31872135]
  2. Fundamental Research Funds for the Central Universities [2662018JC036]

Ask authors/readers for more resources

The double flower is a highly important breeding trait that affects the ornamental value in many flowering plants. To get a better understanding of the genetic mechanism of double flower formation in Dianthus chinensis, we have constructed a high-density genetic map using 140 F-2 progenies derived from a cross between a single flower genotype and a double flower genotype. The linkage map was constructed using double-digest restriction site-associated DNA sequencing (ddRAD-seq) with 2353 single nucleotide polymorphisms (SNPs). Quantitative trait locus (QTL) mapping analysis was conducted for 12 horticultural traits, and major QTLs were identified for nine of the 12 traits. Among them, two major QTLs accounted for 20.7% and 78.1% of the total petal number variation, respectively. Bulked segregant RNA-seq (BSR-seq) was performed to search accurately for candidate genes associated with the double flower trait. Integrative analysis of QTL mapping and BSR-seq analysis using the reference genome of Dianthus caryophyllus suggested that an SNP mutation in the miR172 cleavage site of the A-class flower organ identity gene APETALA2 (DcAP2L) is responsible for double flower formation in Dianthus through regulating the expression of DcAG genes.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available