Candidate genes for first flower node identified in pepper using combined SLAF-seq and BSA

PLoS One. 2018 Mar 20;13(3):e0194071. doi: 10.1371/journal.pone.0194071. eCollection 2018.

Abstract

First flower node (FFN) is an important trait for evaluating fruit earliness in pepper (Capsicum annuum L.), but the genetic mechanisms that control FFN are still poorly understood. In the present study, we developed 249 F2 plants derived from an intraspecific cross between the inbred pepper lines Z4 and Z5. Thirty plants with the highest FFN and 30 plants with the lowest FFN were chosen and their DNAs were pooled according to phenotype to construct two bulked DNA pools. Specific-locus amplified fragment sequencing (SLAF-seq) was combined with bulked segregant analysis (BSA) to identify candidate regions related to FFN. According to our genetic analysis, the FFN trait is quantitatively inherited. A total of 106,848 high-quality single nucleotide polymorphism (SNP) markers were obtained, and 393 high-quality SNP markers associated with FFN were detected. Ten candidate regions within an interval of 3.98 Mb on chromosome 12 harboring 23 candidate genes were identified as closely correlated with FFN. Five genes (CA12g15130, CA12g15160, CA12g15370, CA12g15360, and CA12g15390) are predicted based on their annotations to be associated with expression of the FFN trait. The present study demonstrates an efficient genetic mapping strategy and lays a good foundation for molecular marker-assisted breeding using SNP markers linked to FFN and for cloning and functional analysis of the key genes controlling FFN.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / metabolism
  • Breeding / methods
  • Capsicum / genetics*
  • Chromosomes, Plant / genetics
  • DNA, Plant / genetics
  • Disease Resistance / genetics
  • Flowers / genetics*
  • Genes, Plant / genetics*
  • Genetic Linkage / genetics
  • High-Throughput Nucleotide Sequencing / methods
  • Phenotype
  • Piper nigrum / genetics*
  • Polymorphism, Single Nucleotide / genetics
  • Quantitative Trait Loci / genetics

Substances

  • Biomarkers
  • DNA, Plant

Grants and funding

This work was supported by National Key R & D Plan (2016YFD0101700), Beijing Innovation Team Building Project (GCTDZJ2014033002) to Xiao Fen Zhang, Innovation Ability Construction Project of Beijing Academy of Agriculture and Forest Sciences (KJCX20170102-14) and National Natural Science Foundation of China (31672157). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.