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Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation
Gene expression patterns help to measure and characterize the effect of environmental perturbations at the cellular and organism-level. Complicating interpretation is the presence of uncharacterized or “hypothetical” gene functions for a large percentage of genomes. This is particularly evident in D...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668405/ https://www.ncbi.nlm.nih.gov/pubmed/31366898 http://dx.doi.org/10.1038/s41598-019-47226-0 |
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author | Ravindran, Suda Parimala Lüneburg, Jennifer Gottschlich, Lisa Tams, Verena Cordellier, Mathilde |
author_facet | Ravindran, Suda Parimala Lüneburg, Jennifer Gottschlich, Lisa Tams, Verena Cordellier, Mathilde |
author_sort | Ravindran, Suda Parimala |
collection | PubMed |
description | Gene expression patterns help to measure and characterize the effect of environmental perturbations at the cellular and organism-level. Complicating interpretation is the presence of uncharacterized or “hypothetical” gene functions for a large percentage of genomes. This is particularly evident in Daphnia genomes, which contains many regions coding for “hypothetical proteins” and are significantly divergent from many of the available arthropod model species, but might be ecologically important. In the present study, we developed a gene expression database, the Daphnia stressor database (http://www.daphnia-stressordb.uni-hamburg.de/dsdbstart.php), built from 90 published studies on Daphnia gene expression. Using a comparative genomics approach, we used the database to annotate D. galeata transcripts. The extensive body of literature available for Daphnia species allowed to associate stressors with gene expression patterns. We believe that our stressor based annotation strategy allows for better understanding and interpretation of the functional role of the understudied hypothetical or uncharacterized Daphnia genes, thereby increasing our understanding of Daphnia’s genetic and phenotypic variability. |
format | Online Article Text |
id | pubmed-6668405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66684052019-08-06 Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation Ravindran, Suda Parimala Lüneburg, Jennifer Gottschlich, Lisa Tams, Verena Cordellier, Mathilde Sci Rep Article Gene expression patterns help to measure and characterize the effect of environmental perturbations at the cellular and organism-level. Complicating interpretation is the presence of uncharacterized or “hypothetical” gene functions for a large percentage of genomes. This is particularly evident in Daphnia genomes, which contains many regions coding for “hypothetical proteins” and are significantly divergent from many of the available arthropod model species, but might be ecologically important. In the present study, we developed a gene expression database, the Daphnia stressor database (http://www.daphnia-stressordb.uni-hamburg.de/dsdbstart.php), built from 90 published studies on Daphnia gene expression. Using a comparative genomics approach, we used the database to annotate D. galeata transcripts. The extensive body of literature available for Daphnia species allowed to associate stressors with gene expression patterns. We believe that our stressor based annotation strategy allows for better understanding and interpretation of the functional role of the understudied hypothetical or uncharacterized Daphnia genes, thereby increasing our understanding of Daphnia’s genetic and phenotypic variability. Nature Publishing Group UK 2019-07-31 /pmc/articles/PMC6668405/ /pubmed/31366898 http://dx.doi.org/10.1038/s41598-019-47226-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ravindran, Suda Parimala Lüneburg, Jennifer Gottschlich, Lisa Tams, Verena Cordellier, Mathilde Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation |
title | Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation |
title_full | Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation |
title_fullStr | Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation |
title_full_unstemmed | Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation |
title_short | Daphnia stressor database: Taking advantage of a decade of Daphnia ‘-omics’ data for gene annotation |
title_sort | daphnia stressor database: taking advantage of a decade of daphnia ‘-omics’ data for gene annotation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668405/ https://www.ncbi.nlm.nih.gov/pubmed/31366898 http://dx.doi.org/10.1038/s41598-019-47226-0 |
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