Transcriptome Sequencing and WGCNA Reveal Key Genes in Waterlogging Response of Kandelia obovata

The greatest distributed mangrove plants in China, Kandelia obovate were affected by waterlogging stress for a long time, which seriously restricts its growth and development. We combined growth index observation, microscopic observation, RNA-seq, and WGCNA analysis to preliminically clarify the molecular mechanism of Kandelia obovata under waterlogging stress. RNA-seq high-throughput sequencing successfully identified 228 flooding stress response factors. WGCNA coexpression network analysis combined gene expression level and plant growth trait level to obtain 16 core genes related to waterlogging stress induction. Our study provides a new clue and useful gene resources for genetic improvement of forest resistance using molecular breeding techniques.

Identifier
Source https://data.blue-cloud.org/search-details?step=~0121683E13DDB6D41A3836DF76A5915B7538D85582F
Metadata Access https://data.blue-cloud.org/api/collections/1683E13DDB6D41A3836DF76A5915B7538D85582F
Provenance
Instrument Illumina NovaSeq 6000; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Contributor Zhejiang Academy of Agricultural Sciences
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Temporal Point 2021-11-27T00:00:00Z