PacBio Iso-Seq and WGCNA Data for Tea Plant Bud Dormancy Across Three Cultivars

A 2026 transcriptome resource by Xiuming Zhai investigates bud dormancy in three tea plant cultivars (YC4H, FD, YH3/YC3H) with contrasting dormancy traits. The dataset combines PacBio Iso-Seq for full-length transcripts and Illumina-based expression profiling, revealing 151,674 to 186,949 cultivar-specific transcripts and extensive alternative splicing. It includes results from weighted gene co-expression network analysis (WGCNA) identifying 20 modules linked to dormancy transitions.

Use Cases

• Identify candidate regulatory genes and pathways for tea bud dormancy based on differential expression and co-expression analyses.
• Study transcript isoform diversity and alternative splicing events in tea plants using PacBio-derived full-length transcripts.
• Analyze cultivar-specific gene expression patterns associated with phytohormone signaling and carbohydrate metabolism mentioned in the description.
• Investigate long non-coding RNA (lncRNA) candidates, including a high-confidence subset supported by four prediction tools.

Strengths

• Includes PacBio Iso-Seq data enabling accurate characterization of full-length transcript structures without assembly.
• Reports specific transcript counts, such as 151,674 to 186,949 cultivar-specific transcripts and 93,072 to 100,010 candidate lncRNAs.
• Identifies 20 co-expression modules from WGCNA showing cultivar- and stage-associated patterns.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a specific experimental study on three tea cultivars; generalizability to other plants may be limited.

Provenance

Source

figshare

Collection Method

Combined PacBio Iso-Seq sequencing and Illumina-based expression profiling followed by weighted gene co-expression network analysis (WGCNA).

Freshness

Last updated 2026-04-27 05:17:15; freshness should be verified.