ANISEED 2019: 4D Exploration of Genetic Data for an Extended Range of Tunicates

Overview

Journal Nucleic Acids Res

Publisher Oxford University Press

Specialty Biochemistry

Date 2019 Nov 5

PMID 31680137

Citations 28

Authors

Justine Dardaillon

Delphine Dauga

Paul Simion

Emmanuel Faure

Takeshi A Onuma

Melissa B DeBiasse

Alexandra Louis

Kazuhiro R Nitta

Magali Naville

Lydia Besnardeau

Wendy Reeves

Kai Wang

Marie Fagotto

Marion Gueroult-Bellone

Shigeki Fujiwara

Remi Dumollard

Michael Veeman

Jean-Nicolas Volff

Hugues Roest Crollius

Emmanuel Douzery

Joseph F Ryan

Bradley Davidson

Hiroki Nishida

Christelle Dantec

Patrick Lemaire

Affiliations

Soon will be listed here.

Abstract

ANISEED (https://www.aniseed.cnrs.fr) is the main model organism database for the worldwide community of scientists working on tunicates, the vertebrate sister-group. Information provided for each species includes functionally-annotated gene and transcript models with orthology relationships within tunicates, and with echinoderms, cephalochordates and vertebrates. Beyond genes the system describes other genetic elements, including repeated elements and cis-regulatory modules. Gene expression profiles for several thousand genes are formalized in both wild-type and experimentally-manipulated conditions, using formal anatomical ontologies. These data can be explored through three complementary types of browsers, each offering a different view-point. A developmental browser summarizes the information in a gene- or territory-centric manner. Advanced genomic browsers integrate the genetic features surrounding genes or gene sets within a species. A Genomicus synteny browser explores the conservation of local gene order across deuterostome. This new release covers an extended taxonomic range of 14 species, including for the first time a non-ascidian species, the appendicularian Oikopleura dioica. Functional annotations, provided for each species, were enhanced through a combination of manual curation of gene models and the development of an improved orthology detection pipeline. Finally, gene expression profiles and anatomical territories can be explored in 4D online through the newly developed Morphonet morphogenetic browser.

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