PacBio Transcriptome and WGCNA Data for Tea Plant Bud Dormancy Across Three Cultivars

Xiuming Zhai published this transcriptomic dataset on figshare in April 2026. It combines PacBio Iso-Seq full-length sequencing and Illumina expression profiling for three tea cultivars (YC4H, FD, YH3/YC3H) with contrasting bud dormancy characteristics. The dataset includes high-quality transcripts, alternative splicing events, candidate lncRNAs, and weighted gene co-expression network analysis (WGCNA) results.

Use Cases

• Identify cultivar-specific regulatory pathways based on PacBio-derived transcript structures and expression profiling.
• Analyze alternative splicing events associated with dormancy transitions based on the reported 7,130 retained-intron events.
• Discover candidate long non-coding RNAs (lncRNAs) involved in dormancy based on the subset supported by four prediction tools.
• Construct co-expression networks for hub gene discovery based on the 20 WGCNA modules showing cultivar- and stage-associated patterns.

Strengths

• PacBio sequencing generated high-quality full-length transcripts without assembly, enabling accurate characterization.
• The dataset includes 151,674-186,949 cultivar-specific transcripts and 93,072-100,010 candidate lncRNAs.
• Analysis covers three distinct tea cultivars (YC4H, FD, YH3/YC3H) with contrasting dormancy traits.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

PacBio Iso-Seq sequencing combined with Illumina-based expression profiling and weighted gene co-expression network analysis (WGCNA).

Freshness

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