Dynamic Network Biomarker Analysis Reveals the Critical Phase Transition of Fruit Ripening in Grapevine

Genes (Basel). 2022 Oct 13;13(10):1851. doi: 10.3390/genes13101851.

Abstract

Grapevine (Vitisvinifera L.) fruit ripening is a complex biological process involving a phase transition from immature to mature. Understanding the molecular mechanism of fruit ripening is critical for grapevine fruit storage and quality improvement. However, the regulatory mechanism for the critical phase transition of fruit ripening from immature to mature in grapevine remains poorly understood. In this work, to identify the key molecular events controlling the critical phase transition of grapevine fruit ripening, we performed an integrated dynamic network analysis on time-series transcriptomic data of grapevine berry development and ripening. As a result, we identified the third time point as a critical transition point in grapevine fruit ripening, which is consistent with the onset of veraison reported in previous studies. In addition, we detected 68 genes as being key regulators involved in controlling fruit ripening. The GO (Gene Ontology) analysis showed that some of these genes participate in fruit development and seed development. This study provided dynamic network biomarkers for marking the initial transcriptional events that characterizes the transition process of fruit ripening, as well as new insights into fruit development and ripening.

Keywords: dynamic network biomarker; fruit development; network analysis; phase transition; systems biology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Fruit* / genetics
  • Gene Expression Regulation, Plant / genetics
  • Transcriptome / genetics
  • Vitis* / genetics

Substances

  • Biomarkers

Grants and funding

This work was supported by the National Natural Science Foundation of China (Grant No. 32070682), Technology Innovation Zone Project (Grant No. 1816315XJ00100216), and the Key Research and Development Program of Hubei Province (Grant No. 2022BBA0076).