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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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A comparative genomic map for Caulanthus amplexicaulis and related species (Brassicaceae)
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MethodCytochrome P 450 geneCYP337and heritability of fitness traits in the G lanville fritillary butterfly
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“Large collections of EST sequences have proven invaluable for gene annotation and discovery [9, 11], comparative genomics [12], development of molecular markers [13, 14], and for population genomic studies of genetic variation associated with adaptive traits [15].”
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“[30 ] recently determined 608 053 ESTs of a butterfly Melitaea cinxia that has been intensively studied by ecologists.”
BackgroundComparison of next generation sequencing technologies for transcriptome characterization
Wall, P. K., Leebens‐Mack, J., Chanderbali, A. S., Barakat, A., Wolcott, E., Liang, H., Landherr, L. L., Tomsho, L. P., Hu, Y., Carlson, J. E., et al. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-347 · Cited by 213
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BackgroundYoshino, T. P., Dinguirard, N., & Mourão, M. D. M. (2009) · Parasitology · doi:10.1017/s0031182009991302 · Cited by 18
“With the next generation 454 pyrosequencing technology (Nordstrom et al. 2001; Vera et al. 2008) it is now possible to simultaneously evaluate multi-transcriptomic samples both qualitatively (gene discovery) and quantitatively (gene expression), and with the completion of genome sequencing, assembly and annotation of…”
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“The Genome Sequencer FLX System (GS FLX), powered by 454 sequencing technology, was selected as the sequencing platform because this technology is more appropriate than other next-generation sequencing (NGS) platforms (such as Illumina Solexa and ABI SOLiD) for de novo transcriptome sequencing in nonmodel organisms (V…”
MethodGao, X., Han, J.-B., Lü, Z., Li, Y., & He, C. (2013) · Comparative Biochemistry and Physiology Part D Genomics and Proteomics · doi:10.1016/j.cbd.2012.12.005 · Cited by 20
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“Background Recent progress in the development of genomic techniques, including next generation sequencers, has greatly facilitated transcriptome analysis of ecologically important animals to reveal variations in mRNA expression patterns among closely related species and ecotypes within species [1-3].”
BackgroundGarczynski, S. F., Coates, B., Unruh, T., Schaeffer, S., Jiwan, D., Koepke, T., & Dhingra, A. (2012) · Insect Science · doi:10.1111/j.1744-7917.2012.01560.x · Cited by 19
“ESTs typically remain uncharacterized following analysis via annotation pipelines (Coates et al., 2008; Vera et al., 2008).”
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Fang, D., Pan, C., Lin, H., Lin, Y., Xu, G.-R., Zhang, G., Wang, H.-Z., Xie, L.-P., & Zhang, R.-Q. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035715 · Cited by 19
Wild relatives of plants as sources for the development of abiotic stress tolerance in plants
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Iranawati, F., Jung, H., Chand, V., Hurwood, D. A., & Mather, P. B. (2012) · International Journal of Molecular Sciences · doi:10.3390/ijms130910807 · Cited by 18
“Total average GSS read length (264 nt) were longer than previous studies have reported in similar 454 sequencing runs for EST in non-model species including for Glanville fritillary (197 nt [19]), cichlid fishes (202 and 206 nt [25]) and European hake (206 nt [28]), but lower than for channel catfish (292 nt [29]), gi…”
ResultZakas, C., Schult, N., McHugh, D., Jones, K. L., & Wares, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031613 · Cited by 18
“PipeMeta found 2,817 SNPs (2,095 were biallelic SNPs) in total from the 7,222 contigs, although 6,940 contigs contained no nucleotide substitution SNPs. SNPs that failed the criterion of having no more than two possible nucleotides were excluded from our analysis.”
MethodInfluentialRenn, S., Machado, H., Jones, A., Soneji, K., Kulathinal, R. J., & Hofmann, H. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-271 · Cited by 18
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BackgroundZhang, Y., Zhang, M., Hu, Y.-M., Zhuang, X., Xu, W., Li, P.-F., & Wang, Z.-S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215874 · Cited by 17
Ramstad, K. M., Miller, H. C., & Kolle, G. (2016) · BMC Genomics · doi:10.1186/s12864-016-2714-2 · Cited by 15
“Next-generation sequencing techniques allow for the collection of mRNA sequences from small amounts of tissue in parallel across individuals and species [2], at a depth and coverage that allow de novo transcriptome assembly even in the absence of a closely related genome [10].”
BackgroundPatnaik, B., Hwang, H., Kang, S., Park, S., Wang, T. H., Park, E. B., Chung, J.-M., Song, D. K., Kim, C., Kim, S., et al. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms161226213 · Cited by 17
“The NGS enables the derivation of a global gene or RNA expression profile that could lead to the discovery of genetic markers such as Simple Sequence Repeats (SSRs) and Single Nucleotide Polymorphisms (SNPs), and candidate transcripts as markers for ecological fitness, quantitative trait loci (QTL) and so on [17,18].”
BackgroundEl estudio de la biodiversidad en la era de la secuenciación masiva
Escalante, A. E., Jardón‐Barbolla, L., Ramírez‐Barahona, S., & Eguiarte, L. E. (2015) · Revista Mexicana de Biodiversidad · doi:10.7550/rmb.43498 · Cited by 23
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Comeault, A. A., Sommers, M., Schwander, T., Buerkle, C. A., Farkas, T. E., Nosil, P., & Parchman, T. L. (2012) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2012.03121.x · Cited by 17
“Indeed, recent studies have demonstrated highly successful de novo assemblies of 454 EST data for organisms with few or no prior genomic resources (e.g. Novaes et al. 2008; Vera et al. 2008; Hahn et al. 2009; Kristiansson et al. 2009; Meyer et al. 2009; Schwarz et al. 2009; Parchman et al. 2010; Fraser et al. 2011; Ga…”
BackgroundMethodTaming complex bioinformatics workflows with weaver, makeflow, and starch
Thrasher, A., Carmichael, R., Bui, P., Li, Y., Thain, D., & Emrich, S. (2010) · Works · doi:10.1109/works.2010.5671858 · Cited by 17
“This is a particularly useful method for research on non-model organisms, including those important in studying ecological and environmental questions [3].”
MethodGenomics in the Discovery and Monitoring of Marine Biodiversity
Carvalho, G., Creer, S., Allen, M. J., Costa, F., Tsigenopoulos, C., Goff-Vitry, M. L. L., Magoulas, A., Medlin, L., & Metfies, K. (2010) · doi:10.1007/978-90-481-8639-6_1 · Cited by 17
RNA binding protein GNL3 up-regulates IL24 and PTN to promote the development of osteoarthritis.
Zhu, Z., Xie, J., Manandhar, U., Yao, X.-M., Bian, Y., & Zhang, B. (2020) · Life Science · doi:10.1016/j.lfs.2020.118926 · Cited by 16
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“…discovery (Clark et al. 2010), phylogenomic analysis (e.g. Smith et al. 2011; Hartmann et al. 2012), detecting selection in closely related species (Elmer et al. 2010), as well as for studies of differential gene expression (e.g. Vera et al. 2008; Siebert et al. 2011), among other applications.”
BackgroundThành, N. M., Jung, H., Lyons, R. E., Njaci, I., Yoon, B.-H., Chand, V., Nguyen, T. V., Vo, T. T. M., & Mather, P. B. (2015) · Marine Genomics · doi:10.1016/j.margen.2015.05.001 · Cited by 17
“Identification of genes from xenobiotic organisms in target species transcriptomes has been reported in many earlier studies (Miller et al., 2008; Vera et al., 2008; Hale et al., 2010; Liu et al., 2013b).”
ResultTranscriptomics: The Key to Biomarker Discovery During Tuberculosis?
van Rensburg, I. C., & Loxton, A. G. (2015) · Biomarkers in Medicine · doi:10.2217/bmm.15.16 · Cited by 19
Badouin, H., Belkhir, K., Gregson, E., Galindo, J., Sundström, L., Martin, S. J., Butlin, R. K., & Smadja, C. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068200 · Cited by 15
“Glanville fritillary butterfly: [33]; guppy: [34]; big sagebrush: [35]; great tit: [36]; garter snake: [37]) and to produce important genomic resources useful for various downstream approaches such as targeted resequencing, or microsatellite and SNP genotyping.”
BackgroundChandramouli, K., Sun, J., Mok, F. S., Liu, L.-L., Qiu, J., Ravasi, T., & Qian, P. (2013) · Journal of Proteome Research · doi:10.1021/pr3010088 · Cited by 33
De-Novo Transcriptome Sequencing of a Normalized cDNA Pool from Influenza Infected Ferrets
Camp, J. V., Svensson, T., McBrayer, A. C., Jonsson, C. B., Liljeström, P., & Bruder, C. E. G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037104 · Cited by 19
“The sequence information obtained from de-novo transcriptome sequencing does open up for development of species specific microarrays and taq man assays, and can be used as reference transcriptome for when determining expression profiles using RNA-sequencing (RNA-seq) [8] [9] [10] [11] [12] .”
MethodTranscriptome analysis of wheat grain using RNA-Seq
Wei, L., Wu, Z.-H., Zhang, Y.-F., Guo, D.-D., Xu, Y., Chen, W., Zhou, H., You, M.-S., & Li, B.-Y. (2014) · doi:10.15302/j-fase-2014024 · Cited by 16
Changes in gene expression during female reproductive development in a color polymorphic insect
Willink, B., Duryea, M. C., Wheat, C. W., & SVENSSON, E. I. (2020) · Evolution · doi:10.1111/evo.13979 · Cited by 24
Self-citationGomes, F., Watanabe, L. A., Júnior, J. L. D. S. G. V., Nunes, M. R. T., Cardoso, J. F., de Lima, C. P. S., Schneider, H., & Sampaio, I. (2019) · PLoS ONE · doi:10.1371/journal.pone.0212755 · Cited by 15
Zhang, Y. Z., Cheng, Y., Ya, H., Han, J., & Zheng, L.-N. (2015) · Genetics and Molecular Research · doi:10.4238/2015.july.28.10 · Cited by 16
“For transcriptome sequencing in non-model plants, the Roche 454 platform was initially preferred because it generates long reads (Vera et al., 2008; Meyer et al., 2009).”
MethodReview of GPU implementation to process of RNA sequence on cancer
Rahman, M. A., & Muniyandi, R. C. (2017) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2017.10.008 · Cited by 20
Shaina, H., UlAbdin, Z., Webb, B. A., Arif, M., & Jamil, A. (2016) · Toxicon · doi:10.1016/j.toxicon.2016.08.022 · Cited by 14
Pauli, M., Chakarov, N., Rupp, O., Kalinowski, J., Goesmann, A., Sorenson, M., Krüger, O., & Hoffman, J. (2015) · BMC Genomics · doi:10.1186/s12864-015-2254-1 · Cited by 14
“In particular, although laboratory organisms make excellent models for understanding links between genotype and phenotype, new sequencing approaches have opened the way to studying natural populations [3–6].”
BackgroundSugarcane Giant Borer Transcriptome Analysis and Identification of Genes Related to Digestion
Fonseca, F., Firmino, A. A. P., Macedo, L. L. P., Coelho, R. R., Antonino, J. D., Silva‐Junior, O. B., Togawa, R. C., Pappas, G. J., Jr., de Góis, L. A. B., Silva, M. C. M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118231 · Cited by 13
“This approach is being applied in entomology for gene discovery [20], gene expression analysis of specific tissues and at different physiological conditions [21], to analyze single nucleotide polymorphisms (SNPs) [22], development studies of resistance to insecticides [23,24], understanding endosymbiosis interactions…”
BackgroundNext‐generation approaches to advancing eco‐immunogenomic research in critically endangered primates
Larsen, P., Campbell, C. R., & Yoder, A. (2014) · Molecular Ecology Resources · doi:10.1111/1755-0998.12274 · Cited by 14
“In particular, the growing number of transcriptome databases provides important insight into the functional genomics and gene expression profiles of species not typically targeted for investigation (Vera et al. 2008; Renaut et al. 2010; Pipes et al. 2013; Ekblom et al. 2014).”
BackgroundFoulongne‐Oriol, M., Lapalu, N., Férandon, C., Spataro, C., Ferrer, N., Amselem, J., & Savoie, J. (2014) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-014-5844-y · Cited by 14
“Additional sequencing effort and dedicated approach would be needed to warrant a comprehensive transcriptome analysis in A. subrufescens (Vera et al. 2008; Wall et al. 2009; Ward et al. 2012).”
BackgroundEkblom, R., Wennekes, P., Horsburgh, G. J., & Burke, T. A. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12213 · Cited by 14
“2009) is revolutionizing genetic studies of nonmodel organisms (Vera et al. 2008; Ekblom & Galindo 2011; Vijay et al. 2013).”
BackgroundResultInfluentialGenomic resource development for shellfish of conservation concern
Timmins‐Schiffman, E., Friedman, C. S., Metzger, D. C. H., White, S. J., & Roberts, S. (2012) · Molecular Ecology Resources · doi:10.1111/1755-0998.12052 · Cited by 13
“For example, high-throughput sequencing of transcriptomes has been used to identify SNPs in the nonmodel Glanville fritillary butterfly (Melitaea cinxia; Vera et al. 2008), species in the fish genus Xiphophorus (Shen et al.”
BackgroundMethodInfluentialKenny, N. J., & Shimeld, S. M. (2012) · Development Genes and Evolution · doi:10.1007/s00427-012-0416-6 · Cited by 11
“Furthermore, until recently, the construction of next-generation transcriptomes for non-model organisms has been limited to the 454 platform due to difficulties in assembling shorter reads from other platforms into contigs (Emrich et al. 2007; Vera et al. 2008; Schuster 2008).”
BackgroundJiang, C., Wen, Q., Chen, Y., Xu, L.-A., & Huang, M.-R. (2011) · doi:10.5897/ajb11.235 · Cited by 14
“A comparison of this study with recently published results, which employed 454 sequencing by Cheung et al. (2006) and Vera et al. (2008), showed that in this study, the proportion for high-quality readings was about 90%, which was superior to their reports.”
ResultPeterson, M. P., Malloy, J. T., Marden, J. H., & Buonaccorsi, V. P. (2015) · CourseSource · doi:10.24918/cs.2015.14 · Cited by 9
“Even many traditional non-model systems, those without substantial genomic resources, are now adding genomic tools to address a wide range of ecological questions [4-9].”
BackgroundSelf-citationTranscriptome Sequencing Goals, Assembly, and Assessment
Wheat, C. W., & Vogel, H. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-228-1_7 · Cited by 16
Self-citationMansouri, M., & Mohammadi, F. (2021) · Gene · doi:10.1016/j.gene.2021.145417 · Cited by 13
Kanth, B. K., Kumari, S., Choi, S. H., Ha, H., & Lee, G. (2015) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2015.09.116 · Cited by 14
Comparative analysis of transcriptomes from albino and control sea cucumbers, Apostichopus japonicus
Ma, D., Yang, H., Sun, L., & Xu, D. (2014) · Acta Oceanologica Sinica · doi:10.1007/s13131-014-0464-z · Cited by 13
Giordano, A. M., Cogan, N. O. I., Kaur, S., Drayton, M. C., Mouradov, A., Panter, S., Schrauf, G. E., Mason, J. G., & SPANGENBERG, G. C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085050 · Cited by 14
Mann, I. K., Wegrzyn, J., & Rajora, O. P. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-702 · Cited by 11
“NGS methods facilitate whole transcriptome sequencing at a fraction of the time and cost previously required for the Sanger method [11,12].”
MethodKnipple, D. C. (2012) · Crop Protection · doi:10.1016/j.cropro.2012.11.010 · Cited by 16
Kostamo, K., Olsson, S., & Korpelainen, H. (2011) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2011.05.006 · Cited by 11
Cost-Effective Sequencing of Full-Length cDNA Clones Powered by a De Novo-Reference Hybrid Assembly
Kuroshu, R. M., Watanabe, J., Sugano, S., Morishita, S., Suzuki, Y., & Kasahara, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010517 · Cited by 12
“In fact, an attempt using 454-based RNA-sequencing, which generates longer reads than Illumina GA and AB SOLiD, to produce a de novo assembly of a non-model species transcriptome required the additional use of clone sequences, genomic data from a related model species and some human processing to reconstruct full sequ…”
MethodPreparation of Normalized cDNA Libraries for 454 Titanium Transcriptome Sequencing
Lai, Z., Zou, Y., Kane, N. C., Choi, J.-H., Wang, X., & Rieseberg, L. H. (2012) · Methods in molecular biology · doi:10.1007/978-1-61779-870-2_8 · Cited by 11
Hsu, T., Chiu, Y.-T., Lee, H.-T., Gong, H., & Huang, C. (2021) · Biology · doi:10.3390/biology10010036 · Cited by 13
“Whole-genome sequencing (WGS) generates a complete gene database of the species.”
BackgroundTormey, D., Colbourne, J. K., Mockaitis, K., Choi, J.-H., Lopez, J. A., Burkhart, J. G., Bradshaw, W. E., & Holzapfel, C. M. (2015) · BMC Genomics · doi:10.1186/s12864-015-1937-y · Cited by 13
“[94].”
Recent advances in biocatalyst development in the pharmaceutical industry
Zhang, M. M., Su, X., Ang, E. L., & Zhao, H. (2013) · Pharmaceutical Bioprocessing · doi:10.4155/pbp.13.14 · Cited by 14
Specific‐gene studies of evolutionary mechanisms in an age of genome‐wide surveying
Watt, W. B. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12139 · Cited by 12
“co-importance of variation in protein sequences and expression; (3) refinement of rudimentary molecular functions”
BackgroundResultGao, X., Han, J., Lü, Z., Li, Y., & He, C. (2012) · Comparative Biochemistry and Physiology Part D Genomics and Proteomics · doi:10.1016/j.cbd.2012.05.001 · Cited by 9
“…for gene annotation and discovery (Emrich et al., 2006; Gavery and Roberts, 2012; Li et al., 2011a; Sun et al., 2011), comparative genomics (Vera et al., 2008), development of molecular markers (Li et al., 2010a, 2011b; Liu et al., 2011; Shen et al., 2012), and population genomics studies…”
BackgroundInfluentialRetractedHoffman, J. I., Clark, M. S., Amos, W., & Peck, L. S. (2011) · Polar Biology · doi:10.1007/s00300-011-1139-2 · Cited by 13
“For example, protocols now exist to develop assays for tens to hundreds of single nucleotide polymorphisms (SNPs) based on the in silico mining of transcriptome libraries (Vera et al. 2008).”
BackgroundLee, S. F., Chen, Z.-Z., McGrath, A., Good, R. T., & Batterham, P. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-406 · Cited by 12
“For example, transcriptomic analyses using NGS have now been reported in many non-model insect species [43-48].”
BackgroundGenetics of Host Range in Lepidoptera
Oppenheim, S., & Hopper, K. (2009) · Contemporary topics in entomology series · doi:10.1201/9781420060201-c11 · Cited by 12
Kristiansson, E., Asker, N., Förlin, L., & Larsson, D. G. J. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-345 · Cited by 90
“For transcriptome sequencing, the superior performance of high-throughput techniques have already been demonstrated in several studies, including the plant Medicago truncatula [25], the butterfly Melitaea cinxia [26], the tree Eucalyptus grandis [27] and the freshwater fish Micropterus salmoides [28].”
Sulfur assimilation and regulation of abiotic stress via OMICS
Mir, B., Kumari, R., Rakhra, G., Parihar, P., Singh, R., Raju, A., Srivastava, P., Prasad, S. M., Singh, R., & Gulliya, S. (2024) · Plant Stress · doi:10.1016/j.stress.2024.100630 · Cited by 11
Patel, S., Ranadive, I., Buch, P. R., Khaire, K., & Balakrishnan, S. (2022) · Journal of Developmental Biology · doi:10.3390/jdb10020024 · Cited by 11
“With the introduction of next-generation sequencing technology, vast amounts of genomic data from lesser-used model species may now be collected in a short time and effort [9].”
BackgroundDu, W., & Zeng, F. (2016) · Scientific Reports · doi:10.1038/srep39109 · Cited by 11
Zhao, Y., Zhou, T., Li, Z., & Zhao, G. (2015) · Molecules · doi:10.3390/molecules201219758 · Cited by 13
“Obtaining large numbers of valuable EST sequences via NGS is important for gene annotation and discovery [28,29], comparative genomics [30], development of molecular markers [31,32], and population genomics studies of genetic variation linked to adaptive traits [33].”
BackgroundToxins from Lonomia obliqua — Recombinant Production and Molecular Approach
Marisa, A., Flores, M. P. A., Carrijo-Carvalho, L. C., & Esther, M. (2013) · InTech eBooks · doi:10.5772/53697 · Cited by 11
“Recently, the next-generation of sequencing methods - for example, pyrosequencing - have improved and increased the sequencing reducing time and cost compared to the traditional Sanger method [47, 56].”
MethodGschloessl, B., Beyne, E., Audiot, P., Bourguet, D., & Streiff, R. (2013) · BMC Research Notes · doi:10.1186/1756-0500-6-73 · Cited by 11
“De novo NGS transcriptome sequencing data of non-model lepidopteran species provide insights into the relation between the necessary sequencing effort when using 454 technology and the obtained transcriptome completeness: 3,500 contigs for 88,841 reads in Maruca vitrata [35], 30,000 contigs in Zygaena filipendulae for…”
MethodA preliminary sketch of horn cancer transcriptome in Indian zebu cattle
Tripathi, A. K., KORINGA, P. G., Jakhesara, S. J., Ahir, V. B., Ramani, U. V., Bhatt, V. D., Sajnani, M. R., Patel, D. A., Joshi, A. J., Shanmuga, S. J., et al. (2011) · Gene · doi:10.1016/j.gene.2011.11.007 · Cited by 13
“Massively parallel sequencing technologies, such as 454 pyrosequencing, remove many time consuming steps involved in Sanger sequencing, and have also facilitated transcriptome sequencing at a fraction of the time and reduced cost (Vera et al., 2008).”
MethodCook, N., Aziz, N., Hedley, P., Morris, J., Milne, L., Karley, A., Hubbard, S., & Russell, J. (2011) · Conservation Genetics Resources · doi:10.1007/s12686-011-9459-7 · Cited by 11
“2010) and the Glanville fritillary butterfly Melitaea cinxia (Vera et al. 2008).”
BackgroundJeong, S. W., Kwon, S., Ryu, J., Kim, J., Ahn, J., Kim, S. H., Jo, Y. D., Choi, H., Im, S. B., & Kang, S. (2017) · Genes & Genomics · doi:10.1007/s13258-017-0582-z · Cited by 11
“Because of the potential for high throughput, accuracy, and low cost, NGS is widely applied to analyze transcriptomes both qualitatively and quantitatively, and has been used successfully for de novo transcriptome sequencing and assembly in many non-model plants, such as pine, ginseng, Artermisia annua, common vetch,…”
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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