Cited by 714Genomics and Phylogenetic StudiesLepidoptera: Biology and TaxonomyChromosomal and Genetic Variations

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Rapid transcriptome characterization for a nonmodel organism using 454 pyrosequencing

VERA, J. CRISTOBAL, WHEAT, CHRISTOPHER W., FESCEMYER, HOWARD W., FRILANDER, MIKKO J., CRAWFORD, DOUGLAS L., HANSKI, ILKKA, MARDEN, JAMES H.·2008·Molecular Ecology

DOI 10.1111/j.1365-294x.2008.03666.x

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Abstract

We present a de novo assembly of a eukaryote transcriptome using 454 pyrosequencing data. The Glanville fritillary butterfly ( Melitaea cinxia ; Lepidoptera: Nymphalidae) is a prominent species in population biology but had no previous genomic data. Sequencing runs using two normalized complementary DNA collections from a genetically diverse pool of larvae, pupae, and adults yielded 608 053 expressed sequence tags (mean length = 110 nucleotides), which assembled into 48 354 contigs (sets of overlapping DNA segments) and 59 943 singletons. blast comparisons confirmed the accuracy of the sequencing and assembly, and indicated the presence of c . 9000 unique genes, along with > 6000 additional microarray‐confirmed unannotated contigs. Average depth of coverage was 6.5‐fold for the longest 4800 contigs (348–2849 bp in length), sufficient for detecting large numbers of single nucleotide polymorphisms. Oligonucleotide microarray probes designed from the assembled sequences showed highly repeatable hybridization intensity and revealed biological differences among individuals. We conclude that 454 sequencing, when performed to provide sufficient coverage depth, allows de novo transcriptome assembly and a fast, cost‐effective, and reliable method for development of functional genomic tools for nonmodel species. This development narrows the gap between approaches based on model organisms with rich genetic resources vs. species that are most tractable for ecological and evolutionary studies.

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“The percent of annotated contigs was consistent with the 20% to 40% of the values previously reported for de novo eukaryotic transcriptome assemblies [32-34].”
Characterizing short read sequencing for gene discovery and RNA-Seq analysis in Crassostrea gigas
Gavery, M. R., & Roberts, S. (2011) · Comparative Biochemistry and Physiology Part D Genomics and Proteomics · doi:10.1016/j.cbd.2011.12.003 · Cited by 31
Comparative high-throughput transcriptome sequencing and development of SiESTa, the Silene EST annotation database
Blavet, N., Charif, D., Oger‐Desfeux, C., Marais, G. A. B., & Widmer, A. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-376 · Cited by 30
“This method is increasingly used for EST sequencing in both animals [16-18] and plants [19-21].”
Method
Use of Non‐Normalized, Non‐Amplified cDNA for 454‐Based RNA Sequencing of Fleshy Melon Fruit
Portnoy, V. H., Diber, A., Pollock, S. R., Karchi, H., Lev, S., Tzuri, G., Harel‐Beja, R., Forer, R., Portnoy, V. H., Lewinsohn, E., et al. (2011) · The Plant Genome · doi:10.3835/plantgenome2010.11.0026 · Cited by 31
“Nevertheless, 454 pyrosequencing is still advantageous for the study of organisms whose genome is not available, such as melon (Vera et al., 2008; Wang et al., 2009b).”
Background
Transcriptome sequencing with the Genome Sequencer FLX system
Jarvie, T. P., & Harkins, T. T. (2008) · Nature Methods · doi:10.1038/nmeth.f.220 · Cited by 26
Transcriptome analysis of the Yesso scallop, Patinopecten yessoensis gills in response to water temperature fluctuations
Jiang, W.-W., Lin, F., Fang, J.-G., Gao, Y.-P., Du, M., Fang, J., Li, W., & Jiang, Z.-J. (2018) · Fish and Shellfish Immunology · doi:10.1016/j.fsi.2018.05.038 · Cited by 29
Heart transcriptome of the bank vole (Myodes glareolus): towards understanding the evolutionary variation in metabolic rate
Babik, W., Stuglik, M., Qi, W., Künzli-Gontarczyk, M., Kuduk, K., Koteja, P., & Radwan, J. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-390 · Cited by 30
“A common practice that maximizes transcript discovery is pooling RNA extracted from multiple tissues and/or developmental stages [13,14].”
BackgroundMethodResultInfluential
Single nucleotide polymorphism discovery through Illumina-based transcriptome sequencing and mapping in lentil
TEMEL, H. Y., Göl, D., AKKALE, H. B. K., Kahriman, A., & Tanyolaç, B. (2015) · TURKISH JOURNAL OF AGRICULTURE AND FORESTRY · doi:10.3906/tar-1409-70 · Cited by 35
“It is possible to acquire a wealth of sequence information in nonmodel organisms using NGS technologies (Vera et al., 2008; Hale et al., 2009; Wheat, 2010; Der et al., 2011; Seeb et al., 2011).”
Background
Sequencing and characterization of the transcriptome of half-smooth tongue sole (Cynoglossus semilaevis)
Wang, W., Yi, Q., Ma, L., Zhou, X., Zhao, H., Wang, X., Qi, J., Yu, H., Wang, Z., & Zhang, Q. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-470 · Cited by 32
“ii) In the presence of alternative splicing regions, the assembly of long sequences may be impeded [16].”
Background
Gene discovery from a pilot study of the transcriptomes from three diverse microbial eukaryotes: Corallomyxa tenera, Chilodonella uncinata, and Subulatomonas tetraspora
Grant, J. R., Lahr, D. J. G., Rey, F. E., Burleigh, J. G., Gordon, J. I., Knight, R. D., Molestina, R. E., & Katz, L. A. (2012) · Protist Genomics · doi:10.2478/prge-2012-0002 · Cited by 21
“in the absence of bacteria/ archaea), care must be taken to remove contaminating sequences without losing as-yet undescribed transcripts [18].”
Background
SNP Detection from De Novo Transcriptome Sequencing in the Bivalve Macoma balthica: Marker Development for Evolutionary Studies
Pante, E., Rohfritsch, A., Becquet, V., Belkhir, K., Bierne, N., & Garcia, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052302 · Cited by 31
“[22–25]).”
Characterization of a transcriptome from a non-model organism, Cladonia rangiferina, the grey reindeer lichen, using high-throughput next generation sequencing and EST sequence data
Junttila, S., & Rudd, S. A. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-575 · Cited by 30
“For non-model organisms, de novo genome assembly of short read data is complicated but many transcriptomes have been sequenced from non-model species and published over the last years [18-22].”
Background
Development of Genomic Resources for Pacific Herring through Targeted Transcriptome Pyrosequencing
Roberts, S., Hauser, L., Seeb, L. W., & Seeb, J. E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030908 · Cited by 27
“One of the initial applications of 454 pyrosequencing on non-model organisms was carried out on the butterfly, Melitaea cinxia [12].”
BackgroundMethod
Generating Genomic Tools for Blueberry Improvement
Rowland, L. J., Bell, D. J., Alkharouf, N. W., Bassil, N. V., Drummond, F. A., Beers, L., Buck, E. J., Finn, C. E., Graham, J., McCallum, S., et al. (2012) · International Journal of Fruit Science · doi:10.1080/15538362.2011.619452 · Cited by 26
“BLASTX results were passed through a custom pipeline, built with the scripting language PERL, to create annotated, tab-delimited tables, which include information on taxonomy, key words, gene function, tissue specificity, and gene ontology terms ( Vera et al, 2008 ).”
Design, Validation and Annotation of Transcriptome-Wide Oligonucleotide Probes for the Oligochaete Annelid Eisenia fetida
Gong, P., Pirooznia, M., Guan, X., & Perkins, E. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014266 · Cited by 28
“Therefore, the algorithm implemented in Newbler was much more conservative and produced more unique sequences than that in SeqMan [33].”
Result
De Novo Assembly and Characterization of the Fruit Transcriptome of Chinese Jujube (Ziziphus jujuba Mill.) Using 454 Pyrosequencing and the Development of Novel Tri-Nucleotide SSR Markers
Li, Y., Xu, C., Lin, X., Cui, B., Wu, R., & Pang, X. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106438 · Cited by 37
iTRAQ-based quantitative proteomic analysis reveals acute hypo-osmotic responsive proteins in the gills of the Japanese eel (Anguilla japonica).
Tse, W. K., Sun, J., Zhang, H.-M., Lai, K., Gu, J., Qiu, J.-W., & Wong, C. (2014) · Journal of Proteomics · doi:10.1016/j.jprot.2014.01.025 · Cited by 27
Combining next-generation sequencing and online databases for microsatellite development in non-model organisms
Rico, C., Normandeau, É., Dion-Côté, A.-M., Rico, M. I. F., Côté, G., & Bernatchez, L. (2013) · Scientific Reports · doi:10.1038/srep03376 · Cited by 27
ASGARD: an open-access database of annotated transcriptomes for emerging model arthropod species
Zeng, V., & Extavour, C. G. M. (2012) · Database · doi:10.1093/database/bas048 · Cited by 26
Digital Marine Bioprospecting: Mining New Neurotoxin Drug Candidates from the Transcriptomes of Cold-Water Sea Anemones
Urbárová, I., Karlsen, B. O., Okkenhaug, S., Seternes, O. M., Johansen, S., & Emblem, Å. E. (2012) · Marine Drugs · doi:10.3390/md10102265 · Cited by 29
“Deep sequencing technologies have revolutionized the field of biology by making it achievable to sequence whole transcriptomes of non-model organisms at a relative low cost [5–7].”
Background
Large-scale collection and annotation of gene models for date palm (Phoenix dactylifera, L.)
Zhang, G., Pan, L., Yin, Y., Liu, W., Huang, D., Zhang, T., Wang, L., Xin, C., Lin, Q., Sun, G., et al. (2012) · Plant Molecular Biology · doi:10.1007/s11103-012-9924-z · Cited by 30
“%) previously reported for other de novo eukaryotic transcriptomes (Vera et al. 2008; Meyer et al. 2009; Haegeman et al. 2011).”
Background
Transcriptome analysis of eyestalk and hemocytes in the ridgetail white prawn Exopalaemon carinicauda: assembly, Annotation and Marker Discovery
Li, J.-T., Li, J., Chen, P., Liu, P., & He, Y.-Y. (2014) · Molecular Biology Reports · doi:10.1007/s11033-014-3749-6 · Cited by 27
NERD-seq: a novel approach of Nanopore direct RNA sequencing that expands representation of non-coding RNAs
Saville, L., Wu, L. M., Habtewold, J. Z., Cheng, Y., Gollen, B., Mitchell, L. R., Stuart-Edwards, M., Haight, T., Mohajerani, M. H., & Zovoilis, A. (2024) · Genome biology · doi:10.1186/s13059-024-03375-8 · Cited by 27
“From the initial iteration of sequencing by synthesis of cDNA, through improved technologies such as 454 pyrosequencing(10), and eventually the Illumina sequencing platform(11), a number of limitations have been identified.”
Method
Transcriptome Profiling and Characterization of Drought-Tolerant Potato Plant (Solanum tuberosum L.)
Moon, K.-B., Ahn, D.-J., Park, J.-S., Jung, W., Cho, H., Kim, H.-R., Jeon, J., Park, Y.-I., & Kim, H.-S. (2018) · Molecules and Cells · doi:10.14348/molcells.2018.0312 · Cited by 26
FlowClus: efficiently filtering and denoising pyrosequenced amplicons
Gaspar, J., & Thomas, W. K. (2015) · BMC Bioinformatics · doi:10.1186/s12859-015-0532-1 · Cited by 26
“Reducing the effects of pyrosequencing errors is an important component in amplicon-based metagenomics, as well as in the many other applications that utilize such data [13-16].”
Background
Identifying signatures of natural selection in cork oak (Quercus suber L.) genes through SNP analysis
Modesto, I., Miguel, C. M., Pina-Martins, F., Glushkova, M., Veloso, M., Paulo, O., & Batista, D. (2014) · Tree Genetics & Genomes · doi:10.1007/s11295-014-0786-1 · Cited by 26
“Being located in transcribed regions, these SNPs can be of major interest when trying to understand selective pressures acting on genes related with local adaptation to the environment (Vera et al. 2008; Renaut et al. 2010; Horton et al. 2012).”
Background
Characterization of the transcriptomes ofHaliotis rufescensreproductive tissues
Valenzuela‐Muñoz, V., Bueno-Ibarra, M. A., & Gallardo‐Escárate, C. (2012) · Aquaculture Research · doi:10.1111/are.12044 · Cited by 29
Transcriptome Analysis of Leaf Tissue of Raphanus sativus by RNA Sequencing
Zhang, L., Jia, H., Yin, Y., Wu, G., Xia, H., Wang, X., Fu, C., Li, M., & Wu, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080350 · Cited by 25
“Accordingly, mRNA-Seq is widely used not only to detect transcriptome profiles but also to identify differentially expressed genes, discover unknown transcripts, and accurately identify cSNP (Coding Single Nucleotide Polymorphism) in multiple non-model plants [9-18].”
Background
Characterization of the heart transcriptome of the white shark (Carcharodon carcharias)
Richards, V. P., Suzuki, H., Stanhope, M. J., & Shivji, M. S. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-697 · Cited by 30
“[15-22].”
Transcriptome of the dead: characterisation of immune genes and marker development from necropsy samples in a free-ranging marine mammal
Hoffman, J. I., Thorne, M. A. S., Trathan, P. N., & Forcada, J. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-52 · Cited by 35
“Background Massively parallel sequencing approaches such as Roche 454 and Illumina HiSeq are transforming the study of non-model organisms by dramatically increasing sequencing depth and coverage in return for a greatly reduced investment in time, labour and resources [1].”
Method
Rates of assay success and genotyping error when single nucleotide polymorphism genotyping in non‐model organisms: a case study in the Antarctic fur seal
Hoffman, J. I., Tucker, R. M., Bridgett, S., Clark, M. S., Forcada, J., & Slate, J. (2012) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2012.03158.x · Cited by 24
“An alternative is to exploit emerging ‘next-generation’ sequencing methods to generate large in silico resources such as transcriptome assemblies (Vera et al. 2008).”
Background
Transcriptome survey of Patagonian southern beech Nothofagus nervosa (= N. Alpina): assembly, annotation and molecular marker discovery
Torales, S., Rivarola, M., Pomponio, M. F., Fernández, P. D. C., Acuña, C. V., Marchelli, P., González, S., Azpilicueta, M. M., Hopp, H. E., Gallo, L., et al. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-291 · Cited by 24
“The frequency of annotated isotigs was significantly higher than the values previously reported for de novo transcriptome assemblies of eukaryotes that range from 20 to 40% [22-25].”
BackgroundResult
Comparative transcriptomics and gene expression in larval tiger salamander (Ambystoma tigrinum) gill and lung tissues as revealed by pyrosequencing
Eo, S. H., Doyle, J. M., Hale, M. C., Marra, N. J., Ruhl, J. D., & DeWoody, J. A. (2011) · Gene · doi:10.1016/j.gene.2011.11.018 · Cited by 29
The Application and Performance of Single Nucleotide Polymorphism Markers for Population Genetic Analyses of Lepidoptera
Coates, B. S., Bayles, D. O., Wanner, K. W., Robertson, H. M., Hellmich, R. L., & Sappington, T. W. (2011) · Frontiers in Genetics · doi:10.3389/fgene.2011.00038 · Cited by 26
“ORIGINAL RESEARCH ARTICLE published: 29 June 2011 doi: 10.3389/fgene.2011.00038 The application and performance of single nucleotide polymorphism markers for population genetic analyses of Lepidoptera”
BackgroundInfluential
The key differentially expressed genes and proteins related to immune response in the spleen of pufferfish (Takifugu obscurus) infected by Aeromonas hydrophila
Fu, S., Ding, M., Liang, Q., Yang, Y., Chen, M., Wei, X., Wang, A., Liao, S., & Ye, J. (2019) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2019.05.016 · Cited by 26
The characterization of the P hlebotomus papatasi transcriptome
Abrudan, J., Ramalho-Ortigão, M., O’Neil, S. T., Stayback, G., Wadsworth, M. H., Bernard, M., Shoue, D. A., Emrich, S., Lawyer, P. G., Kamhawi, S., et al. (2013) · Insect Molecular Biology · doi:10.1111/imb.12015 · Cited by 25
“funestus mosquitoes (Wondji, Hemingway & Ranson 2007) but lower than that found in the butterflies Melitaea cinxia (Vera et al. 2008) and Papilio Zelicaon (O'Neil et al.”
Gene discovery in the Antarctic fur seal (Arctocephalus gazella) skin transcriptome
Hoffman, J. I. (2011) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2011.02999.x · Cited by 27
“For the former, MIN_RATIO was set to 0.33 and MIN_READS to 8, which is more stringent than the threshold applied by Vera et al. (2008), and for the latter MIN_RATIO was set to 0.1 and MIN_READS to 2.”
MethodInfluential
Genomic, phylogenetic, and cell biological insights into metazoan origins
Nichols, S. A., Dayel, M. J., & King, N. (2009) · Animal Evolution · doi:10.1093/acprof:oso/9780199549429.003.0003 · Cited by 24
Physiological mechanism of osmoregulatory adaptation in anguillid eels
Cao, Q., Gu, J., Wang, D., Liang, F., Zhang, H., Li, X., & Yin, S. (2018) · Fish Physiology & Biochemistry · doi:10.1007/s10695-018-0464-6 · Cited by 24
“With the recent advancements of deep sequencing technology, the generation of transcriptome data is fast and comprehensive, which greatly facilitates the applications of functional genomics (Shokralla et al. 2012; Vera et al. 2008).”
Background
In Silico identification and annotation of non-coding RNAs by RNA-seq and De Novo assembly of the transcriptome of Tomato Fruits
Scarano, D., Rao, R., & Corrado, G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171504 · Cited by 29
Transcriptome Analysis of Two Vicia sativa Subspecies: Mining Molecular Markers to Enhance Genomic Resources for Vetch Improvement
Kim, T.-S., Raveendar, S., Suresh, S., Lee, G.-A., Lee, J. R., Cho, J.-H., Lee, S., Ma, K., Cho, G., & Chung, J. (2015) · Genes · doi:10.3390/genes6041164 · Cited by 28
“For the deep and redundant coverage produced over many genes, pyrosequencing of cDNA is ideal for SNP discovery and characterization [53–55].”
Background
De novo transcriptome of the European brittle star Amphiura filiformis pluteus larvae
Delroisse, J., Ortega‐Martinez, O., Dupont, S., Mallefet, J., & Flammang, P. (2015) · Marine Genomics · doi:10.1016/j.margen.2015.05.014 · Cited by 25
Characterization of Liaoning Cashmere Goat Transcriptome: Sequencing, De Novo Assembly, Functional Annotation and Comparative Analysis
Liu, H., Wang, T., Wang, J., Quan, F., & Zhang, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077062 · Cited by 23
“The average length of the Liaoning cashmere goat isotigs (1,011 bp) was longer than most of those assembled in other non-model organisms, such as Melitaea cinxia (197 bp) [30], Acropora millepora (440 bp) [31], P.”
Background
Transcriptome and Proteome Research in Veterinary Science: What Is Possible and What Questions Can Be Asked?
Klopfleisch, R., & Gruber, A. D. (2012) · The Scientific World JOURNAL · doi:10.1100/2012/254962 · Cited by 29
“The comprehensive parallel approach naturally interferes with the sensitivity and specificity of detection and quantification.”
Background
Differential gene expression analysis in ageing muscle and drug discovery perspectives
Melouane, A., Ghanemi, A., Aubé, S., Yoshioka, M., & St‐Amand, J. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.10.006 · Cited by 28
Insect Odorant-Binding Proteins (OBPs) and Chemosensory Proteins (CSPs): Mechanisms and Research Perspectives in Mediating Insecticide Resistance
Wang, Q., Shentu, X., Yu, X., & Liu, Y. (2025) · Biology · doi:10.3390/biology14101452 · Cited by 18
“Following this, 454 pyrosequencing technology was successfully applied to profile the transcriptome of Pararge aegeria , demonstrating the significant utility of RNA-Seq for non-model organisms whose genomic sequences had not yet been determined [46].”
Generation of a Transcriptome in a Model Lepidopteran Pest, Heliothis virescens, Using Multiple Sequencing Strategies for Profiling Midgut Gene Expression
Perera, O. P., Shelby, K. S., Popham, H. J. R., Gould, F. L., Adang, M. J., & Jurat‐Fuentes, J. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0128563 · Cited by 20
Wild rodents as a model to discover genes and pathways underlying natural variation in infectious disease susceptibility
Turner, A., & Paterson, S. (2013) · Parasite Immunology · doi:10.1111/pim.12036 · Cited by 19
Gene expression divergence and nucleotide differentiation between males of different color morphs and mating strategies in the ruff
Ekblom, R., Farrell, L. L., Lank, D. B., & Burke, T. A. (2012) · Ecology and Evolution · doi:10.1002/ece3.370 · Cited by 20
“Most studies that have been characterizing transcriptomes in non-model organisms so far have been very descriptive (Vera et al. 2008; Ekblom and Galindo 2011), addressing for example, tissue specific gene expression (Ekblom et al.”
Transcriptome analysis in Concholepas concholepas (Gastropoda, Muricidae): Mining and characterization of new genomic and molecular markers
Cárdenas, L., Sánchez, R., Gomez, D., Fuenzalida, G., Gallardo‐Escárate, C., & Tanguy, A. (2011) · Marine Genomics · doi:10.1016/j.margen.2011.05.002 · Cited by 23
“Studies using a transcriptomic approach are generating an increased amount of new data that will help to identify and interpret how species interact with their environment over multiple levels of biological organization (Vera et al., 2008).”
Background

Authors: VERA, J. C., WHEAT, C. W., FESCEMYER, H. W., FRILANDER, M. J., CRAWFORD, D. L., HANSKI, I., & MARDEN, J. H.
Affiliations: Pennsylvania State University (US)
University of Helsinki (FI)
University of Miami (US)
Corresponding author: VERA, J. CRISTOBAL
ORCID: WHEAT, CHRISTOPHER W.
FRILANDER, MIKKO J.
CRAWFORD, DOUGLAS L.
MARDEN, JAMES H.
Venue: Molecular Ecology
Publisher: Wiley
Published: 2008-03-25
Volume: 17
Issue: 7
Pages: 1636-1647
ISSN: 0962-1083 (ISSN-L)
1365-294X
DOI: 10.1111/j.1365-294x.2008.03666.x
OpenAlex: W1985484001
Cited by: 714
References: 0
Citations by year: 2026: 2 · 2025: 2 · 2024: 5 · 2023: 2 · 2022: 3 · 2021: 35 · 2020: 24 · 2019: 13 · 2018: 12 · 2017: 16 · 2016: 17 · 2015: 41 · 2014: 75 · 2013: 81 · 2012: 101
FWCI: 38.76
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Molecular Ecology (publishedVersion)
PubMed (publishedVersion)
Funders: National Science Foundation
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Life Sciences › Agricultural and Biological Sciences › Insect Science › Lepidoptera: Biology and Taxonomy
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
Keywords: Melitaea cinxia, transcriptome assembly, de novo assembly, 454 pyrosequencing, non-model organisms, expressed sequence tags, oligonucleotide microarrays, single nucleotide polymorphisms, functional genomics
MeSH terms: Animals, Base Sequence, Butterflies, Sequence Alignment, Alternative Splicing, Sequence Analysis, DNA, DNA, Complementary, Expressed Sequence Tags, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Gene Expression Profiling

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Rapid transcriptome characterization for a nonmodel organism using 454 pyrosequencing

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