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Related Experiment Video

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RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

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iRootHair: a comprehensive root hair genomics database.

Miroslaw Kwasniewski¹, Urszula Nowakowska, Jakub Szumera

¹Department of Genetics, University of Silesia, 40-032 Katowice, Poland. kwasniew@us.edu.pl

Plant Physiology

|November 7, 2012

Summary

A new database, iRootHair, organizes genomics data for plant root hairs. This resource aids researchers by centralizing information on root hair genes and related biological processes.

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Area of Science:

Plant Biology
Genomics
Bioinformatics

Background:

Root hairs are crucial for plant nutrient and water uptake.
Root hairs are a model system for studying plant cell morphogenesis.
The growing volume of root hair research necessitates organized data access.

Purpose of the Study:

To create a comprehensive, Web-based database for root hair genomics.
To facilitate research by systematically collecting and presenting available information.
To provide a centralized resource for root hair biology.

Main Methods:

Development of a curated, searchable, Web-based database (iRootHair).
Integration of bioinformatics tools for sequence identification and annotation.
Inclusion of data on 153 root hair-related genes and their orthologs.

Main Results:

The iRootHair database is now available online.
It contains information on 153 genes across dicots and monocots.
The database is structured into searchable sections on genes, formation, mutants, and references.

Conclusions:

iRootHair serves as a unique, integrated resource for root hair research.
The database centralizes and organizes extensive genomics data.
It is freely accessible and expandable for future research needs.