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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These sequences produced longer unigenes (mean = 581 bp) than those assembled in previous studies for butterfly (197 bp), Eucalyptus grandis (247 bp), coral larval (440 bp), lodegpole pine (500 bp), and whitefly (clusters: 372 bp; singletons: 265 bp).
“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]).”
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
Genealogical trees, coalescent theory and the analysis of genetic polymorphisms
Rosenberg, N. A., & Nordborg, M. (2002) · Nature Reviews Genetics · doi:10.1038/nrg795 · Cited by 750 · see citing works
SNP discovery via 454 transcriptome sequencing
Barbazuk, W. B., Emrich, S. J., Chen, H. D., Li, L., & Schnable, P. S. (2007) · The Plant Journal · doi:10.1111/j.1365-313x.2007.03193.x · Cited by 405 · see citing works
Bainbridge, M. N., Warren, R. L., Hirst, M., Romanuik, T., Zeng, T., Go, A., Delaney, A., Griffith, M., Hickenbotham, M., Magrini, V., et al. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-246 · Cited by 222 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174 · see citing works
Applications of next-generation sequencing technologies in functional genomics
Morozova, O., & Marra, M. A. (2008) · Genomics · doi:10.1016/j.ygeno.2008.07.001 · Cited by 1,190 · see citing works
“Further, unlike the shorter reads generated using the Illumina or SOLiD sequencers, the length of the 454 reads allows for interpretation of sequences generated from species lacking a genome sequence or extensive transcriptome sequences for comparison (e.g., [66]).”
MethodApplications of next generation sequencing in molecular ecology of non-model organisms
Ekblom, R., & Galindo, J. (2010) · Heredity · doi:10.1038/hdy.2010.152 · Cited by 1,077 · see citing works
“…genome assembly Reference Wasp (Polistes metricus) 454 X X X Toth et al., 2007 Glanville fritillary butterfly (Melitaea cinxia) 454 X X X X Vera et al., 2008; Wheat, 2010 Garden pea (Pisum sativum) 454 X Bräutigam et al., 2008 Bigmouth bass (Micropterus salmoides) 454 X Garcia-Reyero et…”
BackgroundNext-generation sequencing technologies and their implications for crop genetics and breeding
Varshney, R. K., Nayak, S. N., May, G. D., & Jackson, S. A. (2009) · Trends in biotechnology · doi:10.1016/j.tibtech.2009.05.006 · Cited by 939 · see citing works
Phylogeography’s past, present, and future: 10 years after Avise, 2000
Hickerson, M. J., Carstens, B. C., Cavender-Bares, J. M., Crandall, K. A., Graham, C. H., Johnson, J. B., Rissler, L. J., Victoriano, P. F., & Yoder, A. D. (2009) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2009.09.016 · Cited by 667 · see citing works
“As genomic data become available for non-model organisms (Vera et al., 2008), comparative phylogeographic studies will allow identification of different locus-specific divergent selection patterns (Ellegren and Sheldon, 2008; Luikart et al., 2003; MacCallum and Hill, 2006) between pairs of…”
BackgroundChallenges and opportunities of genetic approaches to biological conservation.
Frankham, R. (2010) · Biological Conservation · doi:10.1016/j.biocon.2010.05.011 · Cited by 570 · see citing works
Applications of New Sequencing Technologies for Transcriptome Analysis
Morozova, O., Hirst, M., & Marra, M. A. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-082908-145957 · Cited by 568 · see citing works
Adapting to climate change: a perspective from evolutionary physiology
Chown, S. L., Hoffmann, A. A., Kristensen, T. N., Angilletta, M. J., Stenseth, N. C., & Pertoldi, C. (2010) · Climate Research · doi:10.3354/cr00879 · Cited by 518 · see citing works
“…it has also been widely documented in laboratory studies of responses to environmental temperature and water availability (e.g. Bennett et al. 1992, Cavicchi et al. 1995, Bull et al. 2000, Gibbs et al. 2003, Bubliy & Loeschcke 2005, Driessen et al. 2007, Sørensen et al. 2007, Vera et al. 2008).”
BackgroundSequencing and de novo analysis of a coral larval transcriptome using 454 GSFlx
Meyer, E., Aglyamova, G. V., Wang, S., Buchanan-Carter, J., Abrego, D., Colbourne, J. K., Willis, B. L., & Matz, M. V. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-219 · Cited by 479 · see citing works
“, adaptor trimming and size selection), an improvement over the 85–90% that passed similar quality filters in previous studies [17,18,23].”
BackgroundResultInfluentialGarg, R., Patel, R. K., Tyagi, A. K., & Jain, M. (2011) · DNA Research · doi:10.1093/dnares/dsq028 · Cited by 457 · see citing works
“However, most of these studies are based on the long-read sequence data using 454 pyrosequencing or employing hybrid approach.(15,16) Although the efforts have been made to develop tools for de novo assembly using shortread sequence data, their use in transcriptome assembly has not been well demonstrated yet.”
MethodParchman, T. L., Geist, K. S., Grahnen, J. A., Benkman, C. W., & Buerkle, C. A. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-180 · Cited by 446 · see citing works
“, 197 bp, [5]; 247 bp, [7]; 440 bp, [16]).”
BackgroundMethodResultInfluentialWahlberg, N., & Wheat, C. W. (2008) · Systematic Biology · doi:10.1080/10635150802033006 · Cited by 447 · see citing works
“…are several groups generating Expressed Sequence Tag (EST) libraries for diverse butterfly taxa; e.g., Pieris rapae (http://www. ice.mpg.de/tmo/research/InsectGenome.htm), Heliconius melpomene (Jiggins et al., 2005), Bicyclus anynana (Beldade et al., 2006), and Melitaea cinxia (Vera et al., 2008).”
BackgroundSelf-citationWang, Z., Fang, B., Chen, J., Zhang, X., Luo, Z., Huang, L., Chen, X., & Li, Y. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-726 · Cited by 433 · see citing works
“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]).”
Adaptation in the age of ecological genomics: insights from parallelism and convergence
Elmer, K. R., & Meyer, A. (2011) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2011.02.008 · Cited by 399 · see citing works
Conservation genetics in transition to conservation genomics
Ouborg, N. J., Pertoldi, C., Loeschcke, V., Bijlsma, R., & Hedrick, P. W. (2010) · Trends in Genetics · doi:10.1016/j.tig.2010.01.001 · Cited by 409 · see citing works
Wei, W., Qi, X., Wang, L., Zhang, Y., Hua, W., Li, D., Lv, H., & Zhang, X. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-451 · Cited by 424 · see citing works
“This large number of reads with paired-end information produced much longer unigenes (mean: 629 bp) than those in previous studies [35,37,49,51-53].”
ResultShi, C.-Y., Yang, H., Wei, C., Yu, O. S., Zhang, Z., Jiang, C., Sun, J., Li, Y., Chen, Q., Xia, T., et al. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-131 · Cited by 398 · see citing works
“Since RNA-seq is not limited to detecting transcripts that correspond to existing genomic sequences, it is particularly attractive for non-model organisms with genomic sequences that are yet to be determined [24-27].”
BackgroundGenetic basis of fitness differences in natural populations
Ellegren, H., & Sheldon, B. C. (2008) · Nature · doi:10.1038/nature06737 · Cited by 358 · see citing works
Aubin‐Horth, N., & Renn, S. C. P. (2009) · Molecular Ecology · doi:10.1111/j.1365-294x.2009.04313.x · Cited by 354 · see citing works
“This finding provides corroborating evidence in support of the high number of ESTs in a study of a butterfly species for which there was no predicted gene homologue in Bombyx mori (Vera et al. 2008).”
BackgroundResultOptimization of de novo transcriptome assembly from next-generation sequencing data
Surget-Groba, Y., & Montoya-Burgos, J. I. (2010) · Genome Research · doi:10.1101/gr.103846.109 · Cited by 339 · see citing works
“…reads have been considered difficult (Schuster 2008), and researchers working on non-model organisms have often turned to the more expensive longer sequence reads (250–450 bp) obtained by the 454 Life Sciences (Roche) technology (Margulies et al. 2005; e.g., Vera et al. 2008; Hale et al. 2009).”
MethodA restoration genetics guide for coral reef conservation
Baums, I. (2008) · Molecular Ecology · doi:10.1111/j.1365-294x.2008.03787.x · Cited by 299 · see citing works
“Next generation sequencing methods continue to reduce the development cost of genomic tools for nonmodel organisms and have yielded promising results in wild species (Toth et al. 2007; Vera et al. 2008).”
BackgroundMultilocus phylogeography and phylogenetics using sequence-based markers
Brito, P. H., & Edwards, S. V. (2008) · Genetica · doi:10.1007/s10709-008-9293-3 · Cited by 347 · see citing works
The genetics of migration on the move
Liedvogel, M., Åkesson, S., & Bensch, S. (2011) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2011.07.009 · Cited by 318 · see citing works
Revisiting the evolution of ecological specialization, with emphasis on insect-plant interactions.
Forister, M., Dyer, L., Singer, M., Stireman, J. O., & Lill, J. (2012) · Ecology · doi:10.1890/11-0650.1 · Cited by 293 · see citing works
“At present, similar resources are available for few insect– plant systems (Whiteman and Jander 2010), though this is changing with the advent of genomic technologies (Hudson 2008, Vera et al. 2008, Gompert et al. 2010, Renn and Siemens 2010).”
BackgroundRismani‐Yazdi, H., HAZNEDAROĞLU, B. Z., Bibby, K. J., & Peccia, J. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-148 · Cited by 295 · see citing works
“The frequency of annotated isotigs is consistent with the 20 to 40% values previously reported for de novo transcriptome assemblies of eukaryotes [20,21,31,32].”
BackgroundResultLi, A., Zhang, J., & Zhou, Z. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-311 · Cited by 792 · see citing works
“A large number of studies have been performed on these two kinds of sequencers [32-38].”
Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field
Manel, S., Joost, S., Epperson, B. K., Holderegger, R., Storfer, A. T., Rosenberg, M. S., Scribner, K. T., Bonin, A., & Fortin, M. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04717.x · Cited by 292 · see citing works
Nakamura, S., Yang, C.-S., Sakon, N., Ueda, M., Tougan, T., Yamashita, A., Goto, N., Takahashi, K., Yasunaga, T., Ikuta, K., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004219 · Cited by 267 · see citing works
“Sequencing error levels are low (,1%) and arise primarily from homopolymer runs [7], but tend to be resolved in cases where there is sufficient coverage depth to allow the assembly of overlapping reads [8].”
BackgroundComparing de novo assemblers for 454 transcriptome data
Kumar, S., & Blaxter, M. L. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-571 · Cited by 255 · see citing works
“…, Heliconius erato , and Melitaea cinxia [11]; TGICL Pythium ultimum [31]; Zoarces viviparous [32]; Medicago truncatula [33] SeqMan Melitaea cinxia [34]; Cochliomyia hominivorax [35]; Pinus contorta [36] stackPACK Arabidopsis thaliana [1] Table 2 Features of assembly programmes compared in this…”
BackgroundOn the origin of species: insights from the ecological genomics of lake whitefish
Bernatchez, L., Renaut, S., Whiteley, A. R., Derôme, N., Jeukens, J., LANDRY, L., Lu, G., Nolte, A. W., Østbye, K., Rogers, S. M., et al. (2010) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2009.0274 · Cited by 244 · see citing works
“2007), genome sequencing of ecologically important models (Vera et al. 2008) as well as accurate gene expression analysis (Torres et al.”
BackgroundMethodEbert, D. P., & Peakall, R. (2009) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2008.02319.x · Cited by 248
“Nextgeneration sequencing technologies offer unprecedented access to whole genome sequences, whole population sequencing and whole transcriptome sequences (Hudson 2008; Vera et al. 2008).”
BackgroundPrinciples of transcriptome analysis and gene expression quantification: an RNA ‐seq tutorial
Wolf, J. B. W. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12109 · Cited by 219 · see citing works
“It is thus not surprising that the first RNA-seq studies in nonmodel organisms used transcriptome information obtained by sequencing from a single individual or a pool of individuals to construct microarrays for quantifying individual gene expression (Vera et al. 2008).”
BackgroundParallel Evolution of Nacre Building Gene Sets in Molluscs
Jackson, D. J., McDougall, C., Woodcroft, B. J., Moase, P., Rose, R. A., Kube, M., Reinhardt, R., Rokhsar, D. S., Montagnani, C., Joubert, C., et al. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp278 · Cited by 272 · see citing works
“High Levels of Gene Novelty in H. asinina and P. maxima Nacre-Forming Gene Sets Both P. maxima and H. asinina EST data sets are comprised largely of sequences with no associated GO terms, similar to other nonmodel invertebrate EST data sets (Leu et al. 2007; Vera et al. 2008; Takahashi et al. 2009).”
BackgroundLi, D., Deng, Z., Qin, B., Liu, X., & Men, Z. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-192 · Cited by 246 · see citing works
“The assembly result indicated that the mean length of unigenes was 592 bp, which was longer than the results shown in previous studies [24,33,43,55,56,58].”
MethodResultJoubert, C., Piquemal, D., Marie, B., Manchon, L., Pierrat, F., Zanella-Cléon, I., Cochennec-Laureau, N., Guéguen, Y., & Montagnani, C. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-613 · Cited by 240 · see citing works
“Interestingly, however, these singletons can also represent rare transcripts of genes expressed at low levels [39], and therefore constitute an interesting source of genomic data.”
BackgroundGao, Z., Luo, W., Liu, H., Zeng, C., Liu, X., Yi, S., & Wang, W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042637 · Cited by 237 · see citing works
“, 197 bp [31]; 440 bp [33]; 500 bp [34]; 422 bp [35]; 300 bp [36]; 521 bp [37]; 547 bp [38]).”
BackgroundMeasuring differential gene expression with RNA-seq: challenges and strategies for data analysis
Finotello, F., & Camillo, B. D. (2014) · Briefings in Functional Genomics · doi:10.1093/bfgp/elu035 · Cited by 234 · see citing works
“organisms [10, 11], novel transcripts discovery [12], Measuring differential gene expression with RNA-seq 131”
BackgroundÁlvarez, M., Schrey, A. W., & Richards, C. L. (2014) · Molecular Ecology · doi:10.1111/mec.13055 · Cited by 248 · see citing works
“In an example of this integrated technique, Vera et al. (2008) used high-throughput RNAseq and de novo assembly of the Glanville fritillary butterfly (Melitaea cinxia) transcriptome from 80 individuals across eight populations.”
MethodHou, R., Bao, Z., Wang, S., Su, H., Li, Y., Du, H., Hu, J., Wang, S., & Hu, X. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021560 · Cited by 230 · see citing works
“These technologies have shown great potential for expanding sequence databases of not only model species [14–18] but also non-model organisms [19–24].”
BackgroundCastoe, T., Poole, A. W., Gu, W.-J., de Koning, A. J., Daza, J. M., Smith, E. N., & Pollock, D. (2009) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2009.02750.x · Cited by 212 · see citing works
“2009), transcriptome characterization of non-model species (Vera et al. 2008) and high-throughput surveying of microbial ecosystem diversity (Edwards et al.”
Application of single nucleotide polymorphisms to non‐model species: a technical review
Garvin, M. R., Saitoh, K., & Gharrett, A. J. (2010) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2010.02891.x · Cited by 209 · see citing works
“Another strategy for reducing genome complexity is to sequence the transcriptome of a pool of individuals (Barbazuk et al. 2007; Toth et al. 2007; Vera et al. 2007; Collins et al. 2008; Novaes et al. 2008; Renaut et al. 2010).”
BackgroundWhat Role Does Heritable Epigenetic Variation Play in Phenotypic Evolution?
Richards, C., Bossdorf, O., & Pigliucci, M. (2010) · BioScience · doi:10.1525/bio.2010.60.3.9 · Cited by 209 · see citing works
“The light quality triggers an elongation response and allows for competitive growth in plants from open habitats, whereas plants from shaded environments do not respond as strongly, since they will never grow taller than the canopy plants (Dudley and Schmitt 1995, Donohue et al. 2000, Weinig 2000).”
BackgroundHuang, Y., Huang, X., Yang, Y., Cai, J. X., Ouyang, Z., Cui, H., Wang, P., & Qin, Q. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-556 · Cited by 195 · see citing works
“Transcriptome sequencing facilitates functional genomic studies, including global gene expression, novel gene discovery, assembly of full-length genes, and single nucleotide polymorphism (SNP) discovery [9,13].”
BackgroundMethodSpeciation genetics: current status and evolving approaches
Wolf, J. B. W., Lindell, J., & Backström, N. (2010) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2010.0023 · Cited by 177 · see citing works
“The advent of massively parallel sequencing technologies holds much promise for speeding up the progress in understanding the genetic basis of (ecological) speciation (Noor & Feder 2006; Ellegren 2008b; Vera et al. 2008; Gilad et al. 2009).”
Kaur, S., Cogan, N. O. I., Pembleton, L. W., Shinozuka, M., Savin, K. W., Materne, M., & Forster, J. W. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-265 · Cited by 200 · see citing works
“Some recent studies have indicated that short reads from 454 GS FLX pyrosequencing may be effectively assembled and used to characterise the gene space in various organisms [16,21,32,33].”
BackgroundRenaut, S., Nolte, A. W., & Bernatchez, L. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2009.04477.x · Cited by 173 · see citing works
“…of high throughput sequencing projects is to reveal sequence variation such as copy number variants, insertion-deletions (indels) or single nucleotide polymorphisms (SNPs) by sequencing pools of genetically heterogeneous individuals (Barbazuk et al. 2007; Vera et al. 2008; Wiedmann et al. 2008).”
BackgroundMethodInfluentialGene mapping in the wild with SNPs: guidelines and future directions
Slate, J., Gratten, J., Beraldi, D., Stapley, J., Hale, M., & Pemberton, J. M. (2008) · Genetica · doi:10.1007/s10709-008-9317-z · Cited by 180 · see citing works
“the transcriptome will be identified (Vera et al. 2008), or from genomic DNA such that SNPs from all over the genome will be reported.”
BackgroundMethodGayral, P., Melo‐Ferreira, J., Glémin, S., Bierne, N., Carneiro, M., Nabholz, B., Lourenco, J. M., Alves, P. C., Ballenghien, M., Faivre, N., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003457 · Cited by 176 · see citing works
“Transcriptomics gives access to large numbers of genes at relatively low cost, plus information about gene expression levels [27–29], with potential applications for SNP discovery and speciation genomics [30–32].”
BackgroundMizrachi, E., Hefer, C. A., Ranik, M., Joubert, F., & Myburg, A. A. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-681 · Cited by 166 · see citing works
“Taking into consideration the number, length, coverage and quality of assembled gene models, as well as their digital expression profiles, this dataset surpasses several previous de novo transcriptome assemblies using Illumina [17,18] or 454 technology [13-16].”
BackgroundMethodProteogenomics ofPristionchus pacificusreveals distinct proteome structure of nematode modelsPreprint
Borchert, N., Dieterich, C., Krug, K., Schütz, W., Jung, S., Nordheim, A., Sommer, R. J., & Maček, B. (2010) · Genome Research · doi:10.1101/gr.103119.109 · Cited by 167 · see citing works
Elmer, K., Fan, S.-H., Gunter, H., Jones, J. C., Boekhoff, S., Kuraku, S., & Meyer, A. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2009.04488.x · Cited by 175 · see citing works
“2007), the silkworm genome aided analysis of Glanville fritillary butterfly ESTs (Vera et al. 2008) and chicken and zebra finch genomes inform transcriptome research on non-model bird species (Kunstner et al.”
BackgroundKaur, S., Pembleton, L. W., Cogan, N. O. I., Savin, K. W., Leonforte, T., Paull, J. G., Materne, M., & Forster, J. W. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-104 · Cited by 185 · see citing works
“A large proportion of the reads assembled into contigs in case of field pea (87%), which is comparable to the values observed in other studies (Glanville fritillary butterfly, 91% [46]; Eucalyptus grandis, 88% [47]; Acropora millepora larvae, 90% [48]).”
ResultSpatial variation in disease resistance: from molecules to metapopulations
Laine, A., Burdon, J., Dodds, P. N., & Thrall, P. (2011) · Journal of Ecology · doi:10.1111/j.1365-2745.2010.01738.x · Cited by 174 · see citing works
Hale, M. C., McCormick, C. R., Jackson, J. R., & DeWoody, J. A. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-203 · Cited by 163 · see citing works
“Mean length of lake sturgeon reads after removing primers, linkers, and substandard bases was 190 bp, in between the 111 bp and 209 bp reported in similar non-model 454 studies [9,10].”
InfluentialThe role of gene expression in ecological speciation
Pavey, S. A., Collin, H., Nosil, P., & Rogers, S. M. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05765.x · Cited by 166 · see citing works
Candida albicans: A Model Organism for Studying Fungal Pathogens
Kabir, M. A., Hussain, M. A., & Ahmad, Z. (2012) · ISRN Microbiology · doi:10.5402/2012/538694 · Cited by 154 · see citing works
HSP70 heat shock proteins and environmental stress in Antarctic marine organisms: A mini-review.
Clark, M., & Peck, L. (2009) · Marine Genomics · doi:10.1016/j.margen.2009.03.003 · Cited by 168 · see citing works
Comparative genomics and the study of evolution by natural selection
Ellegren, H. (2008) · Molecular Ecology · doi:10.1111/j.1365-294x.2008.03954.x · Cited by 161 · see citing works
“Importantly, these new technologies promise to be very useful for genome analysis in nonmodel organisms (Vera et al. 2008; see also Ellegren 2008; Hudson 2008).”
BackgroundBenchmarking next-generation transcriptome sequencing for functional and evolutionary genomics.
Gibbons, J., Janson, E. M., Hittinger, C., Johnston, M., Abbot, P., & Rokas, A. (2009) · Molecular biology and evolution · doi:10.1093/molbev/msp188 · Cited by 163 · see citing works
Serrano, X., Baums, I., O'Reilly, K., Smith, T., Jones, R. J., Shearer, T., Nunes, F., & Baker, A. (2014) · Molecular Ecology · doi:10.1111/mec.12861 · Cited by 161 · see citing works
“A total of 47 968 single sequence reads (i.e. not assembled into contigs) generated from the 454 sequencing were trimmed with PipeMeta (Vera et al. 2008) and assembled with the GS De Novo Assembler (Roche Diagnostics Corporation, Indianapolis, IN), keeping the default settings and a minimum sequence length of 45 base…”
MethodPauchet, Y., Wilkinson, P. A., Vogel, H., Nelson, D. R., Reynolds, S., Heckel, D., & ffrench-Constant, R. (2010) · Insect molecular biology (Print) · doi:10.1111/j.1365-2583.2009.00936.x · Cited by 160 · see citing works
“…unigenes sampled in the M. sexta midgut transcriptome (6593) was lower than the predicted ~9000 unigenes obtained using a similar method on the butterfly Melitaea cinxia (Vera et al., 2008), probably because we sampled a single M. sexta tissue rather than whole Me. cinxia adults and larvae.”
MethodCharacterization of the rainbow trout transcriptome using Sanger and 454-pyrosequencing approaches
Salem, M., Rexroad, C. E. I., Wang, J.-N., Thorgaard, G., & Yao, J.-B. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-564 · Cited by 158 · see citing works
“The 454/GS-Titanium sequencing platform, used in this study, has been used to address this issue and lead to successful assembly of the 454 pyrosequencing data, which make this technology suitable for de novo transcriptome sequencing of non-model species such as aquaculture species [7,30].”
BackgroundMethodInfluentialOjanen, S. P., Nieminen, M., Meyke, E., Pöyry, J., & Hanski, I. (2013) · Ecology and Evolution · doi:10.1002/ece3.733 · Cited by 146 · see citing works
“Following the pioneering study on the transcriptome of the Glanville fritillary (Vera et al. 2008b), a manuscript describing the full genome is currently in”
BackgroundSelf-citationDe Novo Transcriptome Sequencing in Anopheles funestus Using Illumina RNA-Seq Technology
Crawford, J. E., Guelbeogo, M. W., Sanou, A., Traoré, A., Vernick, K. D., Sagnon, N., & Lazzaro, B. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014202 · Cited by 150 · see citing works
“[8–10], with only a very few examples of de novo transcriptome sequencing using the Illumina platform occurring in the literature (e.”
BackgroundHarnessing genomics for evolutionary insights
Rokas, A., & Abbot, P. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2008.11.004 · Cited by 142 · see citing works
Wolf, J., Bayer, T., Haubold, B., Schilhabel, M., Rosenstiel, P., & Tautz, D. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2009.04471.x · Cited by 153 · see citing works
“At present, exploration of the transcribed subset of the genome seems most promising (Vera et al. 2008).”
BackgroundReference‐free transcriptome assembly in non‐model animals from next‐generation sequencing data
Cahais, V., Gayral, P., Tsagkogeorga, G., Melo‐Ferreira, J., Ballenghien, M., Weinert, L. A., Chiari, Y., Belkhir, K., Ranwez, V., & Galtier, N. (2012) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2012.03148.x · Cited by 166 · see citing works
“A popular target for NGS is species transcriptome, which offers direct access to the coding sequences of many genes, plus information on their relative expression levels (Vera et al. 2008; Elmer et al. 2010; Renaut et al. 2010; Wolf et al. 2010).”
BackgroundZhang, L.-L., Li, L., Zhu, Y.-B., Zhang, G.-F., & Guo, X. (2013) · Marine Biotechnology · doi:10.1007/s10126-013-9526-z · Cited by 151 · see citing works
Determinants of intra-specific variation in basal metabolic rate
Konarzewski, M., & Książek, A. (2012) · Journal of Comparative Physiology B · doi:10.1007/s00360-012-0698-z · Cited by 176 · see citing works
“…identified SNPs and the underlying response to selection on metabolic rate remains unclear, Babik et al.’s (2010) study exemplifies the potential offered by new generation sequencing technologies for studying BMR in animals whose genome sequences are not available (see also Vera et al. 2008).”
BackgroundMuseum genomics: low‐cost and high‐accuracy genetic data from historical specimens
Rowe, K. C., Singhal, S., MacManes, M. D., Ayroles, J. F., Morelli, T. L., Rubidge, E. M., Bi, K., & Moritz, C. C. (2011) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2011.03052.x · Cited by 150 · see citing works
“Screening of a large number of loci spread throughout the genome (Vera et al. 2008; Meyer et al. 2009) will greatly improve the accuracy and power to infer population demographic history (Gilad et al.”
Feldmeyer, B., Wheat, C. W., Krezdorn, N., Rotter, B., & Pfenninger, M. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-317 · Cited by 141 · see citing works
“Similarly, the first de novo transcriptome assembly paper based on the first generation of 454 sequencing technology achieved relatively good assembly performance, with a large number of positively identified contigs in BLAST comparisons versus several insect databases, and reads that were on average only 110bp long […”
BackgroundMethodInfluentialSelf-citationDu, H., Bao, Z., Hou, R., Wang, S., Su, H., Yan, J., Tian, M., Li, Y., Wei, W., Lu, W., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033311 · Cited by 144 · see citing works
“The annotation rate in our study is also comparable to those (20,40%) reported in the previous de novo transcriptome sequencing studies for non-model organisms [26,27,33,34,35].”
ResultLiu, S., Zhou, Z., Lü, J., Sun, F., Wang, S., Liu, H., Jiang, Y., Kucuktas, H., Kaltenboeck, L., Peatman, E., et al. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-53 · Cited by 141 · see citing works
“Recently, 454 sequencing was applied for the identification of gene-derived SNPs in a number of species such as eucalyptus grandis [18], pine tree [19], butterfly [20], lake sturgeon [21] and coral [22].”
BackgroundFrom Conservation Genetics to Conservation Genomics
Primmer, C. R. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04444.x · Cited by 145 · see citing works
Using nuclear gene data for plant phylogenetics: progress and prospects.
Zimmer, E., & Wen, J. (2012) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2012.07.015 · Cited by 146 · see citing works
“related reference genome (Vera et al., 2008).”
Transcriptomics of the Bed Bug (Cimex lectularius)
Bai, X., Mamidala, P., Rajarapu, S. P., Jones, S., & Mittapalli, O. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016336 · Cited by 143 · see citing works
An approach to transcriptome analysis of non-model organisms using short-read sequences.
Collins, L., Biggs, P., Voelckel, C., & Joly, S. (2008) · Genome informatics. International Conference on Genome Informatics · doi:10.1142/9781848163324_0001 · Cited by 143 · see citing works
“A method for non-model organisms using 454 pyrosequencing data was recently published [ 3 ], highlighting how next-generation sequencing enables transcriptome analysis from any species.”
MethodGenome-enabled development of DNA markers for ecology, evolution and conservation
Thomson, R. C., Wang, I., & Johnson, J. R. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04650.x · Cited by 148 · see citing works
“2007), the Glanville fritillary butterfly (Vera et al. 2008), and a paper wasp (Toth et al.”
BackgroundMethodMilan, M., Coppe, A., Reinhardt, R., Cancela, L., Leite, R. B., Saavedra, C., Ciofi, C., Chelazzi, G., Patarnello, T., Bortoluzzi, S., et al. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-234 · Cited by 141 · see citing works
“To which extent this goal has been achieved? As demonstrated in previous studies [54], the use of nextgeneration sequencing technology yielded a number of expressed sequences unattainable until only recently.”
Short-Read Sequencing Technologies for Transcriptional Analyses
Simon, S. A., Zhai, J., Nandety, R. S., McCormick, K. P., Zeng, J., Mejía, D. A., & Meyers, B. C. (2009) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.043008.092032 · Cited by 127 · see citing works
Liu, S.-Q., Li, W., Wu, Y., Chen, C.-M., & Lei, J.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0048156 · Cited by 136 · see citing works
Filiatrault, M. J., Stodghill, P. V., Bronstein, P. A., Moll, S., Lindeberg, M., Grills, G. S., Schweitzer, P. A., Wang, W., Schroth, G. P., Luo, S. J., et al. (2010) · Journal of Bacteriology · doi:10.1128/jb.01445-09 · Cited by 127 · see citing works
Jung, H., Lyons, R. E., Dinh, H., Hurwood, D. A., McWilliam, S. M., & Mather, P. B. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027938 · Cited by 140 · see citing works
“3 x coverage; [26]), Flooded or Rose gum (245 nt; [32]) or Shore Pine (306 nt at 3.”
BackgroundMethodInfluentialResearch on inbreeding in the ‘omic’ era
Kristensen, T. N., Pedersen, K. S., Vermeulen, C. J., & Loeschcke, V. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2009.06.014 · Cited by 180 · see citing works
Rapidly developing functional genomics in ecological model systems via 454 transcriptome sequencing
Wheat, C. W. (2008) · Genetica · doi:10.1007/s10709-008-9326-y · Cited by 134 · see citing works
Self-citationBuggs, R. J. A., Chamala, S., WU, W., Gao, L., May, G. D., Schnable, P. S., Soltis, P. S., Soltis, P. S., & Barbazuk, W. B. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2009.04469.x · Cited by 133 · see citing works
“It has been used for the de novo characterization of the transcriptome of the Glanville fritillary butterfly (Vera et al. 2008) and the Eucalyptus grandis genome (Novaes et al.”
Methodde Magalhães, J. D., Finch, C., & Janssens, G. (2009) · Ageing Research Reviews · doi:10.1016/j.arr.2009.10.006 · Cited by 134 · see citing works
“For example, Vera et al. (2008) generated a de novo assembly of the transcriptome of a non-traditional eukaryote model organism (Melitaea cinxia, a butterfly), for which genomic data was not previously available.”
BackgroundMethodSequencing goes 454 and takes large‐scale genomics into the wild
Ellegren, H. (2008) · Molecular Ecology · doi:10.1111/j.1365-294x.2008.03699.x · Cited by 133 · see citing works
“An example of this is provided in this issue (Vera et al. 2008) by the first large-scale attempt toward genome sequencing of an ecologically important model, based on the new ‘454- sequencing technology’.”
BackgroundMethodRiesgo, A., Andrade, S. C. S., Sharma, P. P., Novo, M., Pérez-Porro, A. R., Vahtera, V., González, V. L., Kawauchi, G. Y., & Giribet, G. (2012) · Frontiers in Zoology · doi:10.1186/1742-9994-9-33 · Cited by 126 · see citing works
“g.[1-5]) and have focused on single species.”
ResultHahn, D., Ragland, G. J., Shoemaker, D., & Denlinger, D. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-234 · Cited by 132 · see citing works
“Development of such resources for Sarcophaga would greatly benefit the study of flesh flies as has been done with other non-traditional model insects such as Polistes wasps [19], Glanville fritillary butterflies [20], and tobacco hornworm moths [21].”
BackgroundAssessing De Novo transcriptome assembly metrics for consistency and utility
O’Neil, S. T., & Emrich, S. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-465 · Cited by 118 · see citing works
INTEGRATING EVOLUTIONARY AND FUNCTIONAL APPROACHES TO INFER ADAPTATION AT SPECIFIC LOCI
Storz, J. F., & Wheat, C. W. (2010) · Evolution · doi:10.1111/j.1558-5646.2010.01044.x · Cited by 114 · see citing works
Self-citationFang, D., Xu, G.-R., Hu, Y.-L., Pan, C., Xie, L.-P., & Zhang, R.-Q. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021860 · Cited by 129 · see citing works
“This was similar to other non-model invertebrate EST data sets [74,75,76,77].”
ResultRowland, L. J., Alkharouf, N. W., Darwish, O., Ogden, E. L., Polashock, J. J., Bassil, N. V., & Main, D. (2012) · BMC Plant Biology · doi:10.1186/1471-2229-12-46 · Cited by 136 · see citing works
“Next generation 454 EST sequencing has been shown to be a very efficient, cost-effective approach for transcriptome analysis of non-model species and for the discovery of rare and novel transcripts [16-21].”
BackgroundWóycicki, R. K., Witkowicz, J., Gawroński, P., Dąbrowska‐Bronk, J., Lomsadze, A., Pawełkowicz, M. E., Siedlecka, E., Yagi, K., Pląder, W., Seroczyńska, A., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022728 · Cited by 128 · see citing works
“age has only been used in sequencing of transcriptomes [47,48],”
MethodKünstner, A., Wolf, J. B. W., Backström, N., Whitney, O., Balakrishnan, C. N., Day, L. B., Edwards, S. V., Janes, D. E., Schlinger, B. A., Wilson, R. K., et al. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2009.04487.x · Cited by 108 · see citing works
“The recent introduction of ‘next-generation’ or massive parallel sequencing technologies (Rothberg & Leamon 2008) in molecular ecology (Vera et al. 2008) holds promise that this will eventually come about (Bonneaud et al. 2008; Ellegren 2008b; Hudson 2008).”
MethodInfluentialLong distance dispersal and vertical gene flow in the Caribbean brooding coral Porites astreoides
Serrano, X., Baums, I., Smith, T., Jones, R. J., Shearer, T., & Baker, A. (2016) · Scientific Reports · doi:10.1038/srep21619 · Cited by 126 · see citing works
Liu, S., Zhang, Y., Zhou, Z., Waldbieser, G., Sun, F., Lü, J., Zhang, J., Jiang, Y., Zhang, H., Wang, X., et al. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-595 · Cited by 127 · see citing works
“In addition to its high capability of capturing transcripts from the target species, high throughput transcriptome sequencing using the next-generation technology had enabled capture of expressed sequences from xenobiotic species that are commensal with the species of study [18,19].”
Sequencing and characterizing odorant receptors of the cerambycid beetle Megacyllene caryae
Mitchell, R., Hughes, D., Luetje, C., Millar, J., Soriano-Agatón, F., Hanks, L., & Robertson, H. (2012) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2012.03.007 · Cited by 126
“…advances in sequencing have resulted in high-throughput techniques that permit extensive genetic surveys of non-model organisms (Toth et al., 2007; Vera et al., 2008), and transcripts of highly expressed receptors may be captured by sequencing RNA from antennal tissues (Ramsdell et al., 2010;…”
BackgroundDe novo characterization of the gametophyte transcriptome in bracken fern, Pteridium aquilinum
Der, J. P., Barker, M. S., Wickett, N. J., dePamphilis, C. W., & Wolf, P. G. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-99 · Cited by 114 · see citing works
- 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 › Biochemistry, Genetics and Molecular Biology › Genetics › Lepidoptera: Biology and Taxonomy
- Life Sciences › Agricultural and Biological Sciences › Plant Science › 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review