Figure - available from: Frontiers in Plant Science
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Expression profiles of genes associated with L. gratissima floral transition at four developmental stages, short- or long-day treatments. Relative expression profile of (A) photoperiod pathway-related genes, (B) ambient temperature pathway-related genes, (C) phytohormone metabolism-related genes, (D) phytohormone signal transduction-related genes, (E) sugar signal-related genes, (F) aging pathway-related genes, (G) floral integrator-related genes, and (H) floral meristem identity genes. The Z-score normalized RPKM value for an individual gene at a given developmental stage is represented in a green (low expression) to red (high expression) scale.
Source publication
Photoperiod-regulated floral transition is vital to the flowering plant. Luculia gratissima “Xiangfei” is a flowering ornamental plant with high development potential economically and is a short-day woody perennial. However, the genetic regulation of short-day-induced floral transition in L. gratissima is unclear. To systematically research the res...
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Citations
An appropriate flowering period is an important selection criterion in maize breeding. It plays a crucial role in the ecological adaptability of maize varieties. To explore the genetic basis of flowering time, GWAS and GS analyses were conducted using an associating panel consisting of 379 multi-parent DH lines. The DH population was phenotyped for days to tasseling (DTT), days to pollen-shedding (DTP), and days to silking (DTS) in different environments. The heritability was 82.75%, 86.09%, and 85.26% for DTT, DTP, and DTS, respectively. The GWAS analysis with the FarmCPU model identified 10 single-nucleotide polymorphisms (SNPs) distributed on chromosomes 3, 8, 9, and 10 that were significantly associated with flowering time-related traits. The GWAS analysis with the BLINK model identified seven SNPs distributed on chromosomes 1, 3, 8, 9, and 10 that were significantly associated with flowering time-related traits. Three SNPs 3_198946071, 9_146646966, and 9_152140631 showed a pleiotropic effect, indicating a significant genetic correlation between DTT, DTP, and DTS. A total of 24 candidate genes were detected. A relatively high prediction accuracy was achieved with 100 significantly associated SNPs detected from GWAS, and the optimal training population size was 70%. This study provides a better understanding of the genetic architecture of flowering time-related traits and provides an optimal strategy for GS.
