Transcriptome and Gene Regulatory Network Analyses Reveal New Transcription Factors in Mature Fruit Associated with Harvest Date in Prunus persica .
Gerardo Núñez-LilloWellasmin Pérez-ReyesAníbal RiverosVictoria Lillo-CarmonaKarin RothkegelJosé Miguel ÁlvarezFrancisca Blanco-HerreraRomina PedreschiReinaldo Campos-VargasClaudio MenesesPublished in: Plants (Basel, Switzerland) (2022)
Harvest date is a critical parameter for producers and consumers regarding agro-industrial performance. It involves a pleiotropic effect controlling the development of other fruit quality traits through finely controlling regulatory mechanisms. Fruit ripening is a process in which various signals and biological events co-occur and are regulated by hormone signaling that produces the accumulation/degradation of multiple compounds. However, the regulatory mechanisms that control the hormone signaling involved in fruit development and ripening are still unclear. To investigate the issue, we used individuals with early, middle and late harvest dates from a peach segregating population to identify regulatory candidate genes controlling fruit quality traits at the harvest stage and validate them in contrasting peach varieties for this trait. We identified 467 and 654 differentially expressed genes for early and late harvest through a transcriptomic approach. In addition, using the Arabidopsis DAP-seq database and network analysis, six transcription factors were selected. Our results suggest significant hormonal balance and cell wall composition/structure differences between early and late harvest samples. Thus, we propose that higher expression levels of the transcription factors HB7 , ERF017 and WRKY70 in early harvest individuals would induce the expression of genes associated with the jasmonic acid pathway, photosynthesis and gibberellins inhibition. While on the other hand, the high expression levels of LHY , CDF3 and NAC083 in late harvest individuals would promote the induction of genes associated with abscisic acid biosynthesis, auxins and cell wall remodeling.
Keyphrases
- transcription factor
- cell wall
- genome wide
- poor prognosis
- genome wide identification
- dna binding
- network analysis
- single cell
- rna seq
- dna methylation
- gene expression
- binding protein
- risk assessment
- type diabetes
- insulin resistance
- metabolic syndrome
- skeletal muscle
- adipose tissue
- polycystic ovary syndrome
- high throughput sequencing