AppleMDO: A Multi-Dimensional Omics Database for Apple Co-Expression Networks and Chromatin States.

Area of Science:

• Plant genomics
• Systems biology
• Bioinformatics

Background:

• Apples are economically important fruit crops cultivated globally.
• High-throughput transcriptomic and epigenomic data for apples are increasingly available.
• Understanding gene regulatory networks is crucial for predicting gene function.

Purpose of the Study:

• To integrate diverse apple omics datasets for comprehensive gene function analysis.
• To construct gene co-expression networks and identify functional modules.
• To establish a publicly accessible database for apple gene exploration.

Main Methods:

• Integration of 112 RNA-seq datasets to build global and tissue-preferential networks.
• Identification and functional enrichment analysis of 1,076 gene modules.
• Classification of chromatin states using 20 epigenomic datasets and the ChromHMM algorithm.

Main Results:

• Construction of apple co-expression networks and identification of functional modules related to development and metabolism.
• Classification of the apple genome into 24 chromatin states based on epigenetic marks.
• Establishment of the AppleMDO database (http://bioinformatics.cau.edu.cn/AppleMDO/) for gene exploration.

Conclusions:

• The integrated omics approach provides valuable insights into apple gene function and regulation.
• The AppleMDO database serves as a key resource for researchers studying apple agronomic traits.
• This study offers a framework for similar analyses in other fruit tree species.