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De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system

BACKGROUND: Though genomic-level data are becoming widely available, many of the metazoan species sequenced are laboratory systems whose natural history is not well documented. In contrast, the wide array of species with very well-characterized natural history have, until recently, lacked genomics t...

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Autores principales: Peterson, Mark P, Whittaker, Danielle J, Ambreth, Shruthi, Sureshchandra, Suhas, Buechlein, Aaron, Podicheti, Ram, Choi, Jeong-Hyeon, Lai, Zhao, Mockatis, Keithanne, Colbourne, John, Tang, Haixu, Ketterson, Ellen D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3476391/
https://www.ncbi.nlm.nih.gov/pubmed/22776250
http://dx.doi.org/10.1186/1471-2164-13-305
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author Peterson, Mark P
Whittaker, Danielle J
Ambreth, Shruthi
Sureshchandra, Suhas
Buechlein, Aaron
Podicheti, Ram
Choi, Jeong-Hyeon
Lai, Zhao
Mockatis, Keithanne
Colbourne, John
Tang, Haixu
Ketterson, Ellen D
author_facet Peterson, Mark P
Whittaker, Danielle J
Ambreth, Shruthi
Sureshchandra, Suhas
Buechlein, Aaron
Podicheti, Ram
Choi, Jeong-Hyeon
Lai, Zhao
Mockatis, Keithanne
Colbourne, John
Tang, Haixu
Ketterson, Ellen D
author_sort Peterson, Mark P
collection PubMed
description BACKGROUND: Though genomic-level data are becoming widely available, many of the metazoan species sequenced are laboratory systems whose natural history is not well documented. In contrast, the wide array of species with very well-characterized natural history have, until recently, lacked genomics tools. It is now possible to address significant evolutionary genomics questions by applying high-throughput sequencing to discover the majority of genes for ecologically tractable species, and by subsequently developing microarray platforms from which to investigate gene regulatory networks that function in natural systems. We used GS-FLX Titanium Sequencing (Roche/454-Sequencing) of two normalized libraries of pooled RNA samples to characterize a transcriptome of the dark-eyed junco (Junco hyemalis), a North American sparrow that is a classically studied species in the fields of photoperiodism, speciation, and hormone-mediated behavior. RESULTS: From a broad pool of RNA sampled from tissues throughout the body of a male and a female junco, we sequenced a total of 434 million nucleotides from 1.17 million reads that were assembled de novo into 31,379 putative transcripts representing 22,765 gene sets covering 35.8 million nucleotides with 12-fold average depth of coverage. Annotation of roughly half of the putative genes was accomplished using sequence similarity, and expression was confirmed for the majority with a preliminary microarray analysis. Of 716 core bilaterian genes, 646 (90 %) were recovered within our characterized gene set. Gene Ontology, orthoDB orthology groups, and KEGG Pathway annotation provide further functional information about the sequences, and 25,781 potential SNPs were identified. CONCLUSIONS: The extensive sequence information returned by this effort adds to the growing store of genomic data on diverse species. The extent of coverage and annotation achieved and confirmation of expression, show that transcriptome sequencing provides useful information for ecological model systems that have historically lacked genomic tools. The junco-specific microarray developed here is allowing investigations of gene expression responses to environmental and hormonal manipulations – extending the historic work on natural history and hormone-mediated phenotypes in this system.
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spelling pubmed-34763912012-10-20 De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system Peterson, Mark P Whittaker, Danielle J Ambreth, Shruthi Sureshchandra, Suhas Buechlein, Aaron Podicheti, Ram Choi, Jeong-Hyeon Lai, Zhao Mockatis, Keithanne Colbourne, John Tang, Haixu Ketterson, Ellen D BMC Genomics Research Article BACKGROUND: Though genomic-level data are becoming widely available, many of the metazoan species sequenced are laboratory systems whose natural history is not well documented. In contrast, the wide array of species with very well-characterized natural history have, until recently, lacked genomics tools. It is now possible to address significant evolutionary genomics questions by applying high-throughput sequencing to discover the majority of genes for ecologically tractable species, and by subsequently developing microarray platforms from which to investigate gene regulatory networks that function in natural systems. We used GS-FLX Titanium Sequencing (Roche/454-Sequencing) of two normalized libraries of pooled RNA samples to characterize a transcriptome of the dark-eyed junco (Junco hyemalis), a North American sparrow that is a classically studied species in the fields of photoperiodism, speciation, and hormone-mediated behavior. RESULTS: From a broad pool of RNA sampled from tissues throughout the body of a male and a female junco, we sequenced a total of 434 million nucleotides from 1.17 million reads that were assembled de novo into 31,379 putative transcripts representing 22,765 gene sets covering 35.8 million nucleotides with 12-fold average depth of coverage. Annotation of roughly half of the putative genes was accomplished using sequence similarity, and expression was confirmed for the majority with a preliminary microarray analysis. Of 716 core bilaterian genes, 646 (90 %) were recovered within our characterized gene set. Gene Ontology, orthoDB orthology groups, and KEGG Pathway annotation provide further functional information about the sequences, and 25,781 potential SNPs were identified. CONCLUSIONS: The extensive sequence information returned by this effort adds to the growing store of genomic data on diverse species. The extent of coverage and annotation achieved and confirmation of expression, show that transcriptome sequencing provides useful information for ecological model systems that have historically lacked genomic tools. The junco-specific microarray developed here is allowing investigations of gene expression responses to environmental and hormonal manipulations – extending the historic work on natural history and hormone-mediated phenotypes in this system. BioMed Central 2012-07-09 /pmc/articles/PMC3476391/ /pubmed/22776250 http://dx.doi.org/10.1186/1471-2164-13-305 Text en Copyright ©2012 Peterson et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Peterson, Mark P
Whittaker, Danielle J
Ambreth, Shruthi
Sureshchandra, Suhas
Buechlein, Aaron
Podicheti, Ram
Choi, Jeong-Hyeon
Lai, Zhao
Mockatis, Keithanne
Colbourne, John
Tang, Haixu
Ketterson, Ellen D
De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system
title De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system
title_full De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system
title_fullStr De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system
title_full_unstemmed De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system
title_short De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system
title_sort de novo transcriptome sequencing in a songbird, the dark-eyed junco (junco hyemalis): genomic tools for an ecological model system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3476391/
https://www.ncbi.nlm.nih.gov/pubmed/22776250
http://dx.doi.org/10.1186/1471-2164-13-305
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