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A Novel Dataset for Identifying Sex-Biased Genes in Drosophila
Phenotypic differences between males and females of sexually dimorphic species are caused in large part by differences in gene expression between the sexes, most of which occurs in the gonads. To accurately identify genes differentially expressed between males and females in Drosophila, we sequenced...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091448/ https://www.ncbi.nlm.nih.gov/pubmed/25031657 http://dx.doi.org/10.7150/jgen.7955 |
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author | VanKuren, Nicholas W. Vibranovski, Maria D. |
author_facet | VanKuren, Nicholas W. Vibranovski, Maria D. |
author_sort | VanKuren, Nicholas W. |
collection | PubMed |
description | Phenotypic differences between males and females of sexually dimorphic species are caused in large part by differences in gene expression between the sexes, most of which occurs in the gonads. To accurately identify genes differentially expressed between males and females in Drosophila, we sequenced the testis and ovary transcriptomes of D. yakuba, D. pseudoobscura, and D. ananassae and used them to identify sex-biased genes in the latter two species. We highlight the increased sensitivity and improved power of sex-biased gene detection methods when using our testis/ovary data versus male and female whole body transcriptome data. We thus provide a resource specifically designed to accurately identify and characterize sex-biased genes across Drosophila. This dataset is available through NCBI GEO accession GSE52058. |
format | Online Article Text |
id | pubmed-4091448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-40914482014-07-16 A Novel Dataset for Identifying Sex-Biased Genes in Drosophila VanKuren, Nicholas W. Vibranovski, Maria D. J Genomics Short Research Communication Phenotypic differences between males and females of sexually dimorphic species are caused in large part by differences in gene expression between the sexes, most of which occurs in the gonads. To accurately identify genes differentially expressed between males and females in Drosophila, we sequenced the testis and ovary transcriptomes of D. yakuba, D. pseudoobscura, and D. ananassae and used them to identify sex-biased genes in the latter two species. We highlight the increased sensitivity and improved power of sex-biased gene detection methods when using our testis/ovary data versus male and female whole body transcriptome data. We thus provide a resource specifically designed to accurately identify and characterize sex-biased genes across Drosophila. This dataset is available through NCBI GEO accession GSE52058. Ivyspring International Publisher 2014-03-10 /pmc/articles/PMC4091448/ /pubmed/25031657 http://dx.doi.org/10.7150/jgen.7955 Text en © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. |
spellingShingle | Short Research Communication VanKuren, Nicholas W. Vibranovski, Maria D. A Novel Dataset for Identifying Sex-Biased Genes in Drosophila |
title | A Novel Dataset for Identifying Sex-Biased Genes in Drosophila |
title_full | A Novel Dataset for Identifying Sex-Biased Genes in Drosophila |
title_fullStr | A Novel Dataset for Identifying Sex-Biased Genes in Drosophila |
title_full_unstemmed | A Novel Dataset for Identifying Sex-Biased Genes in Drosophila |
title_short | A Novel Dataset for Identifying Sex-Biased Genes in Drosophila |
title_sort | novel dataset for identifying sex-biased genes in drosophila |
topic | Short Research Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091448/ https://www.ncbi.nlm.nih.gov/pubmed/25031657 http://dx.doi.org/10.7150/jgen.7955 |
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