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Rapid transcriptome characterization for a nonmodel organism using 454 pyrosequencing
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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“These sequences also produced longer unigenes (mean = 581 bp) than those assembled in previous studies for example, butterfly (197 bp) [60], Eucalyptus grandis (247 bp) [11], coral larval (440 bp) [17], lodegpole pine (500 bp) [10]) and whitefly (clusters: 372 bp; singletons: 265 bp) [27]).”
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“2010), and butterflies (Vera et al. 2008).”
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“Using cDNA template for population genetics, however, would require cDNA normalization, might result in a decrease in the proportion of variable sites and the number of markers evolving neutrally, and creates assembly problems arising from alternative splicing of mRNA (Vera et al. 2008).”
BackgroundThe maternal and early embryonic transcriptome of the milkweed bug Oncopeltus fasciatus
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“Several studies have demonstrated the feasibility of NGS for identifying SNPs for population studies and gene sequences for use as phylogenetic markers [18-35].”
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“Indeed, a variant of this strategy was used successfully when validating the de novo assembly of the Glanville fritillary butterfly's transcriptome [45].”
Odonata (dragonflies and damselflies) as a bridge between ecology and evolutionary genomics
Bybee, S., Córdoba‐Aguilar, A., Duryea, M. C., Futahashi, R., Hansson, B., Lorenzo‐Carballa, M. O., Schilder, R., Stoks, R., Suvorov, A., SVENSSON, E. I., et al. (2016) · Frontiers in Zoology · doi:10.1186/s12983-016-0176-7 · Cited by 130
“This was one of the first non-laboratory organisms studied using high-throughput sequencing approaches [64], which demonstrates not only the feasibility but also the usefulness of obtaining genomic data from wild populations.”
BackgroundBeldade, P., Saenko, S. V., Pul, N., & Long, A. D. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000366 · Cited by 100
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Triwitayakorn, K., Chatkulkawin, P., Kanjanawattanawong, S., Sraphet, S., Yoocha, T., Sangsrakru, D., Chanprasert, J., Ngamphiw, C., Jomchai, N., Theerawattanasuk, K., et al. (2011) · DNA Research · doi:10.1093/dnares/dsr034 · Cited by 114
Perspective: conservation genetics enters the genomics era
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“The researchers used 454 pyrosequencing to study hundreds of thousands of expressed sequence tags (ESTs) in samples from a metapopulation in Finland (Vera et al. 2008), and integrated the genomic information both with field data on individual dispersal and with physiological parameters related to flight.”
InfluentialSun, Y. H., Guo, C., Wang, D., Li, X. F., Xiao, L., Zhang, X., You, X., Shi, Q., Hu, G., Fang, C., et al. (2016) · BMC Genetics · doi:10.1186/s12863-016-0328-y · Cited by 131
“expression [18–22].”
Liu, M., Qiao, G., Jiang, J., Yang, H., Xie, L., Jinzhong, X., & Zhuo, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046766 · Cited by 137
Shedding light on an extremophile lifestyle through transcriptomics
Dassanayake, M., Haas, J. S., Bohnert, H. J., & Cheeseman, J. M. (2009) · New Phytologist · doi:10.1111/j.1469-8137.2009.02913.x · Cited by 121
“For our first goal, we selected GSFLX pyrosequencing based on cost effectiveness, rapidly improving accuracy, and technological improvement to the point that read lengths are suitable for de novo assembly of sizeable contigs even in the absence of genome-based templates (Cheung et al., 2006; Wicker et al., 2006; Novae…”
MethodPeng, Y., Abercrombie, L. L., Yuan, J. S., Riggins, C. W., Sammons, R. D., Tranel, P. J., & Stewart, C. N. (2010) · Pest Management Science · doi:10.1002/ps.2004 · Cited by 112
Advances in molecular technology and their impact on fisheries genetics
Hauser, L., & Seeb, J. E. (2008) · Fish and Fisheries · doi:10.1111/j.1467-2979.2008.00306.x · Cited by 115
Moreira, R., Balseiro, P., Planas, J. V., Fusté, B., Beltrán, S., Novoa, B., & Figueras, A. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035009 · Cited by 133
“The use of 454-pyrosequencing is a fast and efficient approach for gene discovery and enrichment of transcriptomes in non-model organisms [20].”
MethodWit, P. D., Pespeni, M. H., & Palumbi, S. R. (2015) · Molecular Ecology · doi:10.1111/mec.13165 · Cited by 115
“Sequencing from multiple developmental stages has been an important strategy for maximizing exon coverage as well as complete transcript recovery (Vera et al. 2008).”
BackgroundTranscriptome sequencing for high throughput SNP development and genetic mapping in Pea
Duarte, J., Rivière, N., Baranger, A., Aubert, G., Burstin, J., Cornet, L., Lavaud, C., Lejeune-Hénaut, I., Martinant, J., Pichon, J.-P., et al. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-126 · Cited by 139
“SmartScreener [59] and SeqClean [60] (http://compbio. dfci.harvard.edu/tgi/software/) were used in order to remove remaining PCR oligos introduced during the cDNA normalization protocol.”
Primmer, C. R., Papakostas, S., Leder, E. H., Davis, M. J., & Ragan, M. A. (2013) · Molecular Ecology · doi:10.1111/mec.12309 · Cited by 122
“Indeed, studies capitalizing on the benefits of NGS technologies in (previously) genetically poorly known species are becoming more common (Vera et al. 2008; Hohenlohe et al. 2010; Bruneaux et al. 2013) as are reviews outlining the benefits of NGS-based approaches in ecological and evolutionary research (e.”
BackgroundMa, K., Qiu, G., Feng, J., & Li, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039727 · Cited by 112
“It is particularly useful as a shotgun method for generating EST data, and its costs are relatively low [33,38].”
MethodBasic research in evolution and ecology enhances forensics
Tomberlin, J. K., Benbow, M. E., Tarone, A. M., & Mohr, R. M. (2010) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2010.12.001 · Cited by 107
Jeukens, J., Renaut, S., St‐Cyr, J., Nolte, A. W., & Bernatchez, L. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04934.x · Cited by 96
“…for nonmodel species such as whitefish by making genome sequencing, transcriptome sequencing and single nucleotide polymorphism (SNP) discovery efficient and accessible, even in the absence of a reference genome (Quinn et al. 2008; Vera et al. 2008; Kristiansson et al. 2009; Renaut et al. 2010).”
BackgroundDe novotranscriptome characterization of Vitis vinifera cv. Corvina unveils varietal diversity
Venturini, L., Ferrarini, A., Zenoni, S., Tornielli, G. B., Fasoli, M., Santo, S. D., Minio, A., Buson, G., Tononi, P., Zago, E. D., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-41 · Cited by 113
“The potential of this approach has been demonstrated in animals lacking reference genome sequences such as the coral Acropora millepora [18], the whitefly Bemisia tabaci [19], the butterfly Melitaea cinxia [20], the mosquito Anopheles funestus [21] and the planarian Schmidtea mediterranea [22,23].”
BackgroundNext‐generation sequencing of transcriptomes: a guide to RNA isolation in nonmodel animals
Gayral, P., Weinert, L., Chiari, Y., Tsagkogeorga, G., Ballenghien, M., & Galtier, N. (2011) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2011.03010.x · Cited by 110
“Next Generation Sequencing technologies (NGS) are rapidly invading many evolutionary and ecological fields, such as phylogenomics, molecular evolution, population genomics and molecular ecology.”
BackgroundMethodInfluentialSpeciation in Ficedula flycatchers
Qvarnström, A., Rice, A. M., & Ellegren, H. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0306 · Cited by 110
“Needless to say, the most important current step in the application of genomics to studies of ecology and evolution is the introduction of next-generation (massive parallel) sequencing technology (Ellegren 2008; Vera et al. 2008).”
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Transcriptome profile analysis of floral sex determination in cucumber
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“These NGS platforms can detect millions of transcripts and can be used for new gene discovery and expression profiling independent of a reference genome [48-50].”
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“This redundancy is often observed with the MIRA program [83], and could reflect biological variation among transcripts originating from a single gene, for example alternative splicing or allelic variation.”
BackgroundGenomic toolboxes for conservation biologists
Angeloni, F., Wagemaker, C. A. M., Vergeer, P., & Ouborg, J. (2011) · Evolutionary Applications · doi:10.1111/j.1752-4571.2011.00217.x · Cited by 108
Sequencing and characterization of the guppy (Poecilia reticulata) transcriptome
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“similar approaches (Swiss-prot and NR = average 33%, range 12 - 73%, GO database = average 20%, range 18 33% [32-44]).”
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“Transcriptome sequencing through 454 pyrosequencing is regarded as a prime choice for novel gene discovery in non-model organisms and many studies have used de novo assembly of transcriptome data to produce and characterize genome-level resources for non-model organisms [32], [33], [34].”
BackgroundCoppe, A., Pujolar, J. M., Maes, G. E., Larsen, P. F., Hansen, M. M., Bernatchez, L., Zane, L., & Bortoluzzi, S. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-635 · Cited by 103
“sets of transcriptome contigs assembled with different methods [17], a second run of assembly was conducted using the previously obtained contigs and singlets as input.”
MethodMerlot, S., Hannibal, L., Martins, S., Martinelli, L., Amir, H., Lebrun, M., & Thomine, S. (2014) · Journal of Experimental Botany · doi:10.1093/jxb/eru025 · Cited by 119
“The rapid development of next-generation sequencing technologies opened the possibility to sequence de novo the transcriptome of this non-model species (Vera et al., 2008; Ekblom and Galindo, 2011; Ozsolak and Milos, 2011).”
BackgroundEST analysis reveals putative genes involved in glycyrrhizin biosynthesis
Li, Y., Luo, H.-M., Sun, C., Song, J.-Y., Sun, Y., Wu, Q., Wang, N., Yao, H., Steinmetz, A., & Chen, S.-L. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-268 · Cited by 101
“The 454 GS FLX sequencing technology has made EST-based resources more readily accessible for non-model organism transcriptomes [2,3].”
Development of the catfish 250K SNP array for genome-wide association studies
Liu, S., Sun, L., Li, Y., Sun, F., Jiang, Y., Zhang, Y., Zhang, J., Feng, J., Kaltenboeck, L., Kucuktas, H., et al. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-135 · Cited by 104
What can whole genome expression data tell us about the ecology and evolution of personality?
Bell, A. M., & Aubin‐Horth, N. (2010) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2010.0185 · Cited by 108
“New technologies such as RNA-seq can be exploited to develop expressed sequence tags (ESTs), which can be used to construct a microarray (Vera et al. 2008), or can be used to directly estimate transcript abundance and sequence variation.”
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“The non-model species community is rapidly harnessing the transcriptome, with an explosion of RNA-Seq studies published over the past 5 years, predominantly using the longer sequencing reads of the 454 FLX technology for the generation of EST databases containing sequence and SNP information [8-12].”
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“Although there have been just a few 454 transcriptome sequencing efforts to date [27-31], our results suggest that for studies of this type, 454 sequencing alone could largely replace traditional Sanger Sequencing.”
Schafleitner, R., Tincopa, L. R., Palomino, O., Rossel, G., Robles, R. F., Alagon, R., Rivera, C., Quispe, C., Rojas, L., Pacheco, J. A., et al. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-604 · Cited by 95
“, [13]], SNP detection [14,15], or transcriptome sequencing [16].”
BackgroundZeng, V., Villanueva, K. E., Ewen‐Campen, B., Alwes, F., Browne, W. E., & Extavour, C. G. M. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-581 · Cited by 94
“This is higher than those reported in other de novo transcriptome analyses [40-45], including that of an arctic crustacean [23], but much lower than the 43.”
ResultZhao, D., Jiang, Y., Ning, C., Meng, J., Lin, S., Ding, W. J., & Tao, J. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-689 · Cited by 121
“Compared with the gene chip technique, which is based on the premise of a large number of genes or molecular database information, RNA-Seq can be studied in non-model organisms without corresponding genome sequences as a reference [10-12].”
MethodFu, N., Wang, Q., & Shen, H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057686 · Cited by 96
Cantù, D., Pearce, S. P., Distelfeld, A., Christiansen, M. W., Uauy, C., Akhunov, E., Fahima, T., & Dubcovsky, J. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-492 · Cited by 88
“9%) were assembled into contigs with a high N50 and an average contig length of 1,216 bp, which is longer than those reported before, which range from 197 bp [46] to 500 bp [47].”
BackgroundManual of Aquatic Viral Ecology
Wilhelm, S., Weinbauer, M., & Suttle, C. (2010) · doi:10.4319/mave.2010.978-0-9845591-0-7 · Cited by 159
Shi, Y., Yu, C., Gu, Z., Zhan, X., Wang, Y., & Wang, A. (2012) · Marine Biotechnology · doi:10.1007/s10126-012-9476-x · Cited by 94
“High-throughput sequencing of RNA (RNA-Seq) has been widely applied to many organisms including non-model species (e.g., Vera et al. 2008; Hale et al. 2009; Meyer et al. 2009; Liu et al. 2011; Hou et al. 2011; Zhao et al. 2012), of which 454-based RNA-Seq was and is still being widely used (e.g.,…”
Bruneaux, M., Johnston, S. E., Herczeg, G., Merilä, J., Primmer, C. R., & Vasemägi, A. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05749.x · Cited by 85
“…genomewide studies in non-model organisms are now much more achievable (Tautz et al. 2010; Ekblom & Galindo 2011), and several studies have demonstrated that novel functional genomic insights can be gained for species without fully sequenced genomes (e.g. Vera et al. 2008; Papakostas et al. 2012).”
BackgroundFerguson, L., Lee, S. F., Chamberlain, N. L., Nadeau, N. J., Joron, M., Baxter, S. W., Wilkinson, P. A., Papanicolaou, A., Kumar, S., KEE, T., et al. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2009.04475.x · Cited by 82
“The transcriptome coverage obtained here is significantly greater than that from another recent survey of a butterfly, Melitaea cinxia, in which around 600 K 454 sequence reads showed similarity to 6289 B. mori proteins (Vera et al. 2008).”
InfluentialDe Novo Assembly and Functional Annotation of the Olive (Olea europaea) Transcriptome
Muñoz‐Mérida, A., Plaza, J. J. G., Canada, A., Blanco, A. M., Garcia‐Lopez, M. D., Rodrı́guez, J. M., Pedrola, L., Sicardo, M. D., Hernández, M. L., de la Rosa, R., et al. (2013) · DNA Research · doi:10.1093/dnares/dss036 · Cited by 87
“Most of the EST processing protocols were adapted from those described by Vera and collaborators.(30) Based on preliminary data using different computational assembly pipelines, including the 454 GS Table 1.”
MethodRoeding, F., Borner, J., Kube, M., Klages, S., Reinhardt, R., & Burmester, T. (2009) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2009.08.014 · Cited by 91
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An EST‐based genome scan using 454 sequencing in the marine snailLittorina saxatilis
Galindo, J., Grahame, J., & Butlin, R. K. (2010) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2010.02071.x · Cited by 81
“For example, Vera et al. (2008) also found microbial ª 2 0 1 0 T H E A U T H O R S .”
BackgroundGenomics of Origin, Domestication and Evolution of Phaseolus vulgaris
Bellucci, E., Bitocchi, E., Rau, D., Rodriguez, M., Biagetti, E., Giardini, A., Attene, G., Nanni, L., & Papa, R. (2014) · doi:10.1007/978-94-007-7572-5_20 · Cited by 89
“These provide powerful tools for the understanding of genome variations in crop species at the DNA, RNA and protein levels, and particularly for nonmodel plant species (Vera et al. 2008).”
BackgroundWang, R., Sun, L., Bao, L., Zhang, J., Jiang, Y., Yao, J., Song, L., Feng, J., Liu, S., & Liu, Z. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-929 · Cited by 86
“[55], lake sturgeon [56] and coral [57].”
Transcriptomics and Comparative Analysis of Three Antarctic Notothenioid Fishes
Shin, S. C., Kim, S. J., Lee, J. K., Ahn, D., Kim, M., Lee, H., Lee, J., Kim, B., & Park, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043762 · Cited by 93
“Pyrosequencing of ESTs provides an efficient way to generate sequence data for non-model organisms in the form of transcriptome sequencing, and can be used to characterize gene expression and identify novel genes [21,22,23].”
BackgroundGenome mapping in intensively studied wild vertebrate populations
Slate, J., Santure, A. W., Feulner, P. G. D., Brown, E., Ball, A. D., Johnston, S. E., & Gratten, J. (2010) · Trends in Genetics · doi:10.1016/j.tig.2010.03.005 · Cited by 89
Genomics of Compositae weeds: EST libraries, microarrays, and evidence of introgression
Lai, Z., Kane, N. C., Kozik, A., Hodgins, K. A., Dlugosch, K. M., Barker, M. S., Matvienko, M., Yu, Q., Turner, K. G., Pearl, S. A., et al. (2011) · American Journal of Botany · doi:10.3732/ajb.1100313 · Cited by 82
Transcriptome dynamics of Camellia sinensis in response to continuous salinity and drought stress
Zhang, Q., Cai, M., Yu, X., Wang, L., Guo, C., Ming, R., & Zhang, J. (2017) · Tree Genetics & Genomes · doi:10.1007/s11295-017-1161-9 · Cited by 95
“NGS is not limited to detecting transcripts from known genomic sequences, and therefore is particularly attractive for studies in non-model organisms (Vera et al. 2008; Kristiansson et al. 2009; Meyer et al. 2009).”
Harris, S. E., Munshi‐South, J., Obergfell, C. J., & O'Neill, R. J. W. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074938 · Cited by 91
“58% in a bat, Artibeus jamaicensis [77],, 18% in a butterfly, Melitaea cinxia [59],, and Rapid Evolution of Urban White-Footed Mice”
BackgroundChen, Z.-F., Matsumura, K., Wang, H., Arellano, S. M., Yan, X.-C., Alam, I. S., Archer, J., Bajic, V., & Qian, P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022913 · Cited by 86
“Consequently, it has become a powerful platform for profiling the transcriptomes of both model and non-model organisms [32,33,34].”
BackgroundA Hierarchical Bayesian Model for Next-Generation Population Genomics
Gompert, Z., & Buerkle, C. A. (2011) · Genetics · doi:10.1534/genetics.110.124693 · Cited by 83
Bai, X., Zhang, W., Orantes, L. C., Jun, T., Mittapalli, O., Mian, M. A. R., & Michel, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011370 · Cited by 86
“Data generated by Roche-454 sequencing produces longer fragments and may be more suited for species without significant sequence data already available [49], but overall sequencing output and coverage is lower than Illumina [48].”
BackgroundTerrat, Y., Biass, D., Dutertre, S., Favreau, P., Remm, M., Stöcklin, R., Piquemal, D., & Ducancel, F. (2011) · Toxicon · doi:10.1016/j.toxicon.2011.10.001 · Cited by 85
Mudalkar, S., Ramesh, G., Ghatty, S., & Reddy, A. R. (2013) · Plant Molecular Biology · doi:10.1007/s11103-013-0125-1 · Cited by 89
“Recently, deep-sequencing technologies that deliver millions of short reads from platforms such as Roche/454, AB SOLiD and Illumina were used for de novo assemblies and transcriptome analysis of the organisms where reference sequence is absent (Collins et al. 2008; Vera et al. 2008; Morozova et al. 2009; Wang et al. 2…”
Colgan, T. J., Carolan, J. C., Bridgett, S., Sumner, S., Blaxter, M., & Brown, M. J. F. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-623 · Cited by 78
“As a consequence, these technologies have been used in several studies of non-model species, such as the Granville butterfly [22], the Propertius duskywing and the Anise swallowtail butterflies [23], the migratory locust Locusta migratoria [24] and the primitively eusocial wasp, Polistes metricus [25].”
MethodRNA-Seq reveals genotype-specific molecular responses to water deficit in eucalyptus
Villar, É., Klopp, C., Noirot, C., Novaes, E., Kirst, M., Plomion, C., & Gion, J. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-538 · Cited by 82
“Considerable sequencing depth can be obtained, making it possible to identify transcriptome expression variation [29].”
BackgroundHale, M. C., Jackson, J. R., & DeWoody, J. A. (2010) · Genetica · doi:10.1007/s10709-010-9455-y · Cited by 79
Moghaddam, S. M., Song, Q., Mamidi, S., Schmutz, J., Lee, R., Cregan, P., Osorno, J., & McClean, P. (2013) · Frontiers in Plant Science · doi:10.3389/fpls.2014.00185 · Cited by 79
Methods for discovery and characterization of cellulolytic enzymes from insects
Willis, J. D., Oppert, C., & Jurat‐Fuentes, J. L. (2010) · Insect Science · doi:10.1111/j.1744-7917.2010.01322.x · Cited by 77
“, 2009) and Melitaea cinxia (Vera et al., 2008).”
The transcriptome of Spodoptera exigua larvae exposed to different types of microbes.
Pascual, L., Jakubowska, A., Blanca, J., Cañizares, J., Ferré, J., Gloeckner, G., Vogel, H., & Herrero, S. (2012) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2012.04.003 · Cited by 78
Transcriptome sequencing and de novo annotation of the critically endangered Adriatic sturgeon
Vidotto, M., Grapputo, A., Boscari, E., Barbisan, F., Coppe, A., Grandi, G., Kumar, A., & Congiu, L. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-407 · Cited by 81
“The obtained contigs and singletons were further reassembled by performing a second round to decrease the redundancy caused by the heuristic nature of the assembly process [34].”
MethodSNP identification, verification, and utility for population genetics in a non-model genus
Williams, L., Ma, X., Boyko, A. R., Bustamante, C. D., & Oleksiak, M. F. (2010) · BMC Genetics · doi:10.1186/1471-2156-11-32 · Cited by 69
“In recent years this has lead to the establishment of myriad data sets ranging from increased coverage of variation in the human genome at the individual level [1-5] to the sequencing of non-model prokaryotic and eukaryotic genomes and transcriptomes [6-11].”
A garter snake transcriptome: pyrosequencing, de novo assembly, and sex-specific differences
Schwartz, T. S., Tae, H., Yang, Y., Mockaitis, K., Hemert, J. L. V., Proulx, S. R., Choi, J.-H., & Bronikowski, A. M. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-694 · Cited by 71
“The application of new sequencing technologies, such as pyrosequencing, to traditional ecological models expands the horizon for ecological genomic studies [24-29].”
BackgroundResultPlant transcriptomics and responses to environmental stress: an overview
Imadi, S. R., Kazi, A., Ahanger, M., Gucel, S., & Ahmad, P. (2015) · Journal Genetika · doi:10.1007/s12041-015-0545-6 · Cited by 75
“In this approach, population of total or fractionated RNA is converted to library of cDNA with adaptors attached to both the ends. cDNA molecules are then sequenced in high throughput manner and short sequences are obtained (Holt and Jones 2008; Vera et al. 2008).”
BackgroundGóngora-Castillo, E., Ibarra-Laclette, E., Trejo-Saavedra, D., & Rivera-Bustamante, R. (2012) · Virology Journal · doi:10.1186/1743-422x-9-295 · Cited by 75
“It has been reported that next generation sequencing methods are an excellent tool for the discovery of novel genes [19-21,57-59].”
Luo, H., Li, Y., Sun, C., Wu, Q., Song, J., Sun, Y., Steinmetz, A. A., & Chen, S. (2010) · BMC Plant Biology · doi:10.1186/1471-2229-10-209 · Cited by 75
“Most of the reads were similar in length to the results from those studies [28,29] and longer than those used in the previous 454EST studies [30-32].”
ResultExploring the Transcriptome of Atlantic Salmon (Salmo salar) Skin, a Major Defense Organ
Micallef, G., Bickerdike, R., Reiff, C., Fernandes, J. M. O., Bowman, A. S., & Martín, S. (2012) · Marine Biotechnology · doi:10.1007/s10126-012-9447-2 · Cited by 74
“…length is considerably higher than the average isotig length achieved from de novo assemblies of transcriptomes of other species (Melitaea cinxia, Vera et al. 2008; Bathymodiolus azoricus, Bettencourt et al. 2010; Laternula elliptica, Clark et al. 2010; Concholepas concholepas, Cárdenas et al.…”
BackgroundSloan, D. B., Keller, S. R., Berardi, A. E., Sanderson, B. J., Karpovich, J. F., & TAYLOR, D. R. (2011) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2011.03079.x · Cited by 67
“…data even in the absence of a reference genome sequence and have spurred a recent flurry of transcriptome projects in non-model organisms (e.g. Vera et al. 2008; Meyer et al. 2009; Schwartz et al. 2010), including numerous angiosperms (Novaes et al. 2008; Alagna et al. 2009; Barakat et al.…”
BackgroundTian, Y., & Gao, L. (2014) · Microbial Ecology · doi:10.1007/s00248-014-0461-y · Cited by 86
“Bacterial diversity was characterized by sequencing 16S rRNA gene sequences amplified by PCR from genomic DNA extractions, using the Roche 454 Titanium platform [33].”
MethodAn Integrated Transcriptome-Wide Analysis of Cave and Surface Dwelling Astyanax mexicanus
Gross, J. B., Furterer, A., Carlson, B. M., & Stahl, B. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055659 · Cited by 72
Xu, D., Long, H., Liang, J., Zhang, J., Chen, X., Li, J., Pan, Z.-F., Deng, G., & Yu, M. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-133 · Cited by 74
“This method not only detects transcripts that correspond to existing genomic sequences, but it can also be used for de novo assembly of short reads for gene discovery and expression profiling in organisms for which there is no reference genome [17,20-26].”
Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology
Wang, Y., Zeng, X., Iyer, N. J., Bryant, D. W., Mockler, T. C., & Mahalingam, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034225 · Cited by 69
“ESTs have been useful for development of molecular markers [4,5,6,7,8], comparative genomics [9,10] and for genetic analysis of adaptive traits [11,12].”
MethodResultFunctional genomics of life history variation in a butterfly metapopulation
Wheat, C. W., Fescemyer, H. W., Kvist, J., Tas, É., Vera, J. C., Frilander, M. J., Hanski, I., & Marden, J. H. (2011) · Molecular Ecology · doi:10.1111/j.1365-294x.2011.05062.x · Cited by 74
“0 (Vera et al. 2008)] and singletons were annotated using Blast homology searches against predicted gene sets of silkmoth (Bombyx mori, Lepidoptera: Bombycidae) and fruit fly (Drosophila melanogaster, Diptera: Drosophilidae) genomes, and the UniProt database (Vera et al.”
BackgroundMethodInfluentialSelf-citationSeeb, J. E., Pascal, C. E., Grau, E. S., Seeb, L. W., Templin, W. D., Harkins, T. T., & Roberts, S. (2010) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2010.02936.x · Cited by 62
“In this study, we use 454 FLX pyrosequencing to characterize a portion of the chum salmon transcriptome; we conducted three sequencing runs on cDNA from testes from each of two chum salmon from different populations (cf., Ellegren 2008; Vera et al. 2008) where we detected thousands of putative SNPs.”
MethodChen, J., Wu, X.-T., Xu, Y.-Q., Zhong, Y., Li, Y.-X., Chen, J.-K., Li, X., & Nan, P. (2015) · BMC Genomics · doi:10.1186/1471-2164-16-s7-s15 · Cited by 72
“Since RNA-seq is not restricted to detecting transcripts of known genes, it is particularly useful for non-model organisms with no available genomic data [22].”
BackgroundKumar, A., Congiu, L., Lindström, L., Piiroinen, S., Vidotto, M., & Grapputo, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086012 · Cited by 72
Harrison, N., & Kidner, C. A. (2011) · Taxon · doi:10.1002/tax.606002 · Cited by 81
Gallardo-Escárate, C., Valenzuela-Muñoz, V., & Núñez-Acuña, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092239 · Cited by 71
Dispersal of the Zhujiang River (Pearl River) derived sediment in the Holocene
Ge, Q., Liu, J.-P., Xue, Z., & Chu, F. (2014) · Acta Oceanologica Sinica · doi:10.1007/s13131-014-0407-8 · Cited by 71
Wu, C.-H., Tsai, M., Ho, C.-C., Chen, C., & Lee, M. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-434 · Cited by 72
“discovery in many studies [9,10], and has significantly accelerated and improved the sensitivity of gene expression profiling.”
Genotype – environment correlations in corals from the Great Barrier Reef
Lundgren, P. B., Vera, J. C., Peplow, L. M., Manel, S., & van Oppen, M. J. H. (2013) · BMC Genetics · doi:10.1186/1471-2156-14-9 · Cited by 68
“The 947,623 resulting sequences and quality scores were analysed using PipeMeta, a menu based, desktop interface pipeline toolset for Windows [59,60].”
MethodSelf-citationThe function and evolution of Wnt genes in arthropods.
Murat, S., Hopfen, C., & McGregor, A. (2010) · Arthropod structure & development · doi:10.1016/j.asd.2010.05.007 · Cited by 71
Tzika, A. C., Helaers, R., Schramm, G., & Milinkovitch, M. C. (2011) · EvoDevo · doi:10.1186/2041-9139-2-19 · Cited by 62
“Note that the 50% of genes identified after our de novo sequencing of reptilian transcriptomes is larger than the proportion (about 25%) of transcript identification in previous efforts [27,51-53].”
ResultBarreto, F. S., Moy, G. W., & Burton, R. S. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04963.x · Cited by 66
Brulle, F., Morgan, A. J., Cocquerelle, C., & Vandenbulcke, F. (2010) · Environmental Pollution · doi:10.1016/j.envpol.2010.06.019 · Cited by 68
“…capable of producing millions of DNA sequence reads in a single run allows de novo transcriptome assembly and a fast, cost-effective, and reliable method for development of functional genomic tools for non-model species tractable for ecological and studies (Mardis, 2008; Vera et al., 2008).”
MethodNext generation transcriptomes for next generation genomes using est2assembly
Papanicolaou, A., Stierli, R., ffrench-Constant, R., & Heckel, D. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-447 · Cited by 70
“The GS20 Melitaea cinxia dataset from whole larvae is published by Vera et al [40] and was down-loaded from NCBI's Short Read Archive after communication with Howard Fescemyer (Pennsylvania State University).”
MethodDeep Sequencing-Based Analysis of the Cymbidium ensifolium Floral Transcriptome
Li, X., Luo, J., Yan, T., Xiang, L., Jin, F. J., Qin, D., Sun, C., & Xie, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0085480 · Cited by 81
“Meanwhile, the data collections are also valuable for gene annotation and discovery [23,24], comparative genomics [25], development of molecular markers [26,27], and population genomics studies on genetic variation associated with adaptive traits [28].”
BackgroundGene Discovery in the Threatened Elkhorn Coral: 454 Sequencing of the Acropora palmata Transcriptome
Polato, N. R., Vera, J. C., & Baums, I. B. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028634 · Cited by 60
“Xenobiotic sequences from intracellular parasites are commonly found in transcriptome data of wild species [10].”
BackgroundMethodInfluentialSelf-citationEcological genetics and genomics of plant defences: evidence and approaches
Anderson, J. T., & Mitchell‐Olds, T. (2010) · Functional Ecology · doi:10.1111/j.1365-2435.2010.01785.x · Cited by 74
“It has enormous potential for studies of non-model organisms because transcript abundance can be quantified in the absence of genomic sequence data (e.g., Vera et al., 2008; Ekblom et al., 2010; O’Neil et al., 2010).”
BackgroundGai, S., Zhang, Y., Mu, P., Liu, C., Liu, S., Dong, L., & Zheng, G. (2011) · Gene · doi:10.1016/j.gene.2011.12.013 · Cited by 68
Metadata
- 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
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2008-03-25
- Volume
- 17
- Issue
- 7
- Pages
- 1636-1647
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- 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
- 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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