ANISEED
ANISEED integrates curated genomic, gene expression, phenotypic, anatomical and phylogenetic data for tunicates to support comparative developmental biology and evolutionary genomics.
Key Features:
- Integrated knowledge base: Functionally annotated gene and transcript models with orthology relationships among tunicates and other deuterostomes (echinoderms, cephalochordates, vertebrates) are centralized for comparative analyses.
- Data diversity: Inclusion of repeated elements, cis-regulatory modules, phenotyping data and formal anatomical ontologies describing gene expression in wild-type and experimentally manipulated conditions.
- 3D and 4D visualization: A 3D Virtual Embryo module provides quantitative geometrical descriptions of developing cells from reconstructed three-dimensional embryos up to gastrula stages, and Morphonet-based morphogenetic 4D visualization maps gene expression and anatomical territories in time.
- Data integration and analysis: Heterogeneous datasets are integrated at multiple scales to enable automatic inference of gene regulatory interactions, identification of inducing signals, and discovery of novel asymmetric cell divisions.
- Genomicus synteny comparisons: Local gene order conservation across deuterostomes is analyzed using Genomicus synteny data.
- Expanded taxonomic coverage: The resource covers 14 tunicate species, including the appendicularian Oikopleura dioica, for broader comparative studies.
- Enhanced functional annotations: Manual curation of gene models combined with an improved orthology detection pipeline provides higher-quality annotations.
Scientific Applications:
- Developmental systems biology: Linking genomic information to phenotypic outcomes at cellular, tissue and embryo scales to study developmental programs.
- Embryonic dynamics: Quantitative analysis of cell geometry and spatiotemporal gene expression during embryogenesis up to gastrulation.
- Gene regulatory network reconstruction: Integration of expression data and cis-regulatory modules to infer regulatory interactions and inducing signals.
- Evolutionary genomics: Comparative analyses of orthology, synteny and anatomical ontologies across deuterostomes to study evolutionary relationships.
- Functional genomics: Correlating annotated gene models, regulatory elements and phenotypes to investigate organ encoding and functional outcomes.
Methodology:
Integration of functional, gene expression, phenotyping, anatomical and phylogenetic datasets; generation and manual curation of functionally annotated gene and transcript models; improved orthology detection pipeline and orthology relationships; inclusion of repeated elements and cis-regulatory modules; formal anatomical ontologies; reconstruction of three-dimensional embryos and quantitative geometrical descriptions up to gastrula stages; Morphonet-based 4D morphogenetic visualization; Genomicus synteny comparisons; and automated inference of gene regulatory interactions, inducing signals and novel asymmetric divisions across 14 species including Oikopleura dioica.
Topics
Collections
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api, database, web application
- Operating Systems:
- Linux
- Programming Languages:
- PHP, JavaScript, Python
- Added:
- 10/19/2019
- Last Updated:
- 9/25/2023
Operations
Data Inputs & Outputs
Genome annotation
Deposition
Publications
Brozovic M, Dantec C, Dardaillon J, Dauga D, Faure E, Gineste M, Louis A, Naville M, Nitta KR, Piette J, Reeves W, Scornavacca C, Simion P, Vincentelli R, Bellec M, Aicha SB, Fagotto M, Guéroult-Bellone M, Haeussler M, Jacox E, Lowe EK, Mendez M, Roberge A, Stolfi A, Yokomori R, Brown CT, Cambillau C, Christiaen L, Delsuc F, Douzery E, Dumollard R, Kusakabe T, Nakai K, Nishida H, Satou Y, Swalla B, Veeman M, Volff J, Lemaire P. ANISEED 2017: extending the integrated ascidian database to the exploration and evolutionary comparison of genome-scale datasets. Nucleic Acids Research. 2017;46(D1):D718-D725. doi:10.1093/nar/gkx1108. PMID:29149270. PMCID:PMC5753386.
Brozovic M, Martin C, Dantec C, Dauga D, Mendez M, Simion P, Percher M, Laporte B, Scornavacca C, Di Gregorio A, Fujiwara S, Gineste M, Lowe EK, Piette J, Racioppi C, Ristoratore F, Sasakura Y, Takatori N, Brown TC, Delsuc F, Douzery E, Gissi C, McDougall A, Nishida H, Sawada H, Swalla BJ, Yasuo H, Lemaire P. ANISEED 2015: a digital framework for the comparative developmental biology of ascidians. Nucleic Acids Research. 2015;44(D1):D808-D818. doi:10.1093/nar/gkv966. PMID:26420834. PMCID:PMC4702943.
Tassy O, Dauga D, Daian F, Sobral D, Robin F, Khoueiry P, Salgado D, Fox V, Caillol D, Schiappa R, Laporte B, Rios A, Luxardi G, Kusakabe T, Joly J, Darras S, Christiaen L, Contensin M, Auger H, Lamy C, Hudson C, Rothbächer U, Gilchrist MJ, Makabe KW, Hotta K, Fujiwara S, Satoh N, Satou Y, Lemaire P. The ANISEED database: Digital representation, formalization, and elucidation of a chordate developmental program. Genome Research. 2010;20(10):1459-1468. doi:10.1101/gr.108175.110. PMID:20647237. PMCID:PMC2945195.
Tassy O, Daian F, Hudson C, Bertrand V, Lemaire P. A Quantitative Approach to the Study of Cell Shapes and Interactions during Early Chordate Embryogenesis. Current Biology. 2006;16(4):345-358. doi:10.1016/j.cub.2005.12.044.
Dardaillon J, Dauga D, Simion P, Faure E, Onuma TA, DeBiasse MB, Louis A, Nitta KR, Naville M, Besnardeau L, Reeves W, Wang K, Fagotto M, Guéroult-Bellone M, Fujiwara S, Dumollard R, Veeman M, Volff J, Roest Crollius H, Douzery E, Ryan JF, Davidson B, Nishida H, Dantec C, Lemaire P. ANISEED 2019: 4D exploration of genetic data for an extended range of tunicates. Nucleic Acids Research. 2019. doi:10.1093/nar/gkz955. PMID:31680137. PMCID:PMC7145539.
Dardaillon J, Dauga D, Simion P, Faure E, Onuma TA, DeBiasse MB, Louis A, Nitta KR, Naville M, Besnardeau L, Reeves W, Wang K, Fagotto M, Guéroult-Bellone M, Fujiwara S, Dumollard R, Veeman M, Volff J, Roest Crollius H, Douzery E, Ryan JF, Davidson B, Nishida H, Dantec C, Lemaire P. ANISEED 2019: 4D exploration of genetic data for an extended range of tunicates. Nucleic Acids Research. 2019. doi:10.1093/nar/gkz955. PMID:31680137. PMCID:PMC7145539.
Documentation
Downloads
- Biological dataVersion: 2019https://www.aniseed.fr/aniseed/download/download_data