Lotus Seed Quality Changes During Ripening with Transcriptomic and Metabolite Data

A 356.6 KB dataset from figshare, last updated April 2026, investigates the physiological and molecular mechanisms underlying quality changes in 'Jianxuan 30' lotus seeds across different developmental stages. The data includes results from headspace solid-phase microextraction–gas chromatography–mass spectrometry (HS–SPME–GC–MS) and transcriptomic analysis to identify characteristic volatile metabolites and differentially expressed genes. The work was authored by Weiting Chen and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between seed appearance and nutrient accumulation based on described developmental stage variations.
• Identifying marker genes for volatile compound biosynthesis based on the transcriptomic analysis of differentially expressed genes.
• Developing sensors or models for optimal harvest timing based on the identified key volatile metabolites like hexadecanoic acid methyl ester.
• Analyzing the transcriptional activation of pathways involving lipoxygenase (LOX), alcohol dehydrogenase (ADH), and aldehyde dehydrogenase (ALDH).

Strengths

• Data includes both physiological measurements and molecular analyses (transcriptomics, GC-MS).
• Focuses on a specific crop cultivar ('Jianxuan 30') for controlled study.
• Dataset is shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are unknown, requiring inspection after download.
• The dataset is small (356.6 KB), indicating limited scope or a subset of analyzed data.
• Geographic origin and precise temporal coverage of the underlying study are not specified.

Provenance

Source

figshare, author Weiting Chen.

Collection Method

Combined physiological observation, HS–SPME–GC–MS, and transcriptomic analysis.

Time Range

Developmental stages of lotus seeds, specific years not provided.

Freshness

Last updated 2026-04-16 05:18:50.

Geography

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