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Paramacrobiotus metropolitanus (Water bear tardigrade, TYO) (Prichtersi_v1.0)

About Paramacrobiotus metropolitanus

Paramacrobiotus is a genus Eutardigrade. Tardigrades, known colloquially as water bears or moss piglets, are a phylum of eight-legged segmented micro-animals. They were first described by the German zoologist Johann August Ephraim Goeze in 1773, who called them Kleiner Wasserbär. In 1777, the Italian biologist Lazzaro Spallanzani named them Tardigrada, which means "slow steppers".

Tardigrades, or water bears, are particularly attractive animal models to study the different kinds of dormancy owing to their ability to enter anhydrobiosis and cryobiosis [1], and can tolerate harsh conditions such as extreme temperature and pressure (high and low), ionizing and ultraviolet (UV) radiations, osmotic stress, and even space vacuum at low Earth orbit. Members of the genus Paramacrobiotus have been shown to exhibit the natural occurring autofluorescence under UV light with potential to confer tolerance to lethal UV radiation [2].

Picture credit: Creative Commons Attribution 2.5 via Wikimedia Commons (Image source)

Taxonomy ID 2943436

(Text from Wikipedia.)

More information General information about this species can be found in Wikipedia

Taxonomy ID 2943436

Data source The University of Tokyo

More information and statistics

Genome assembly: Prichtersi_v1.0

More information and statistics

Download DNA sequence (FASTA)

Display your data in Ensembl Metazoa

Gene annotation

What can I find? Protein-coding and non-coding genes, splice variants, cDNA and protein sequences, non-coding RNAs.

More about this genebuild

Download genes, cDNAs, ncRNA, proteins - FASTA - GFF3

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Comparative genomics

What can I find? Homologues, gene trees, and whole genome alignments across multiple species.

More about comparative analyses

Phylogenetic overview of gene families

Download alignments (EMF)

Variation

This species currently has no variation database. However you can process your own variants using the Variant Effect Predictor:

Variant Effect Predictor