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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Published on: August 15, 2019

MarpolBase: genome database for Marchantia polymorpha featuring high quality reference genome sequences.

Yasuhiro Tanizawa¹, Takako Mochizuki¹, Masaru Yagura¹

¹Department of Informatics, National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, Japan.

Plant & Cell Physiology

|December 1, 2025

Summary

This summary is machine-generated.

MarpolBase provides high-quality, telomere-to-telomere genome assemblies for the model liverwort Marchantia polymorpha. This integrated database enhances functional genomics and evolutionary studies with new resources and tools.

Keywords:

Marchantia database genome

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Area of Science:

Plant biology
Genomics
Evolutionary biology

Background:

Marchantia polymorpha is a crucial model organism for plant evolution and development research.
Existing genomic resources require enhancement for comprehensive analysis.

Purpose of the Study:

To develop MarpolBase, an integrated genome database for Marchantia polymorpha.
To provide high-accuracy, telomere-to-telomere reference genomes for M. polymorpha.
To establish a unified platform for genome analysis and community-driven nomenclature.

Main Methods:

PacBio HiFi long-read sequencing for genome assembly.
Development of a comprehensive database integrating genome sequences, annotations, and expression data.
Implementation of genome browsers and analytical tools.

Main Results:

Newly assembled, high-accuracy reference genomes (ver. 7.1) for male (Tak-1) and female (Tak-2) M. polymorpha accessions.
Improved assembly continuity, annotation accuracy, and structural resolution, particularly for repeat-rich regions and sex chromosomes.
MarpolBase offers integrated data exploration, comparative analysis, and gene nomenclature functionalities.

Conclusions:

MarpolBase serves as a central, freely accessible resource for Marchantia polymorpha functional genomics and evolutionary studies.
The database sets a precedent for future plant genome database development.
Enhanced genomic data facilitates deeper understanding of land plant evolution and gene regulation.