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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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Items 201–300 of 599
Milano, I., Babbucci, M., Panitz, F., Ogden, R., Nielsen, R. O., Taylor, M. I., Helyar, S., Carvalho, G. R., Espiñeira, M., Atanassova, M., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028008 · Cited by 69
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“Recent advances in genomics, in particular next generation sequencing, mean that generating sequence data for non-model organisms has become accessible both in terms of timescale and price [5,6].”
BackgroundMethodSato, S., Feltus, F., Iyer, P. R., & Tien, M. (2009) · Current Genetics · doi:10.1007/s00294-009-0243-0 · Cited by 68
“Pyrosequencing with 454 technology provides a method for measuring transcript levels in non-model organisms where DNA microarrays are not easily available ( Vera et al. 2008 ).”
MethodTollenaere, C., Susi, H., Nokso-Koivisto, J., Koskinen, P., Tack, A. J. M., Auvinen, P., Paulin, L. G., Frilander, M. J., Lehtonen, R., & Laine, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052492 · Cited by 73
“Indeed, SNP marker development through NGS of transcriptome data has consequently become more and more common in nonmodel species over the past few years (see for example [36–38]).”
BackgroundSelf-citationRiesgo, A., Pérez-Porro, A. R., Carmona, S., Leys, S. P., & Giribet, G. (2011) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2011.03097.x · Cited by 66
“…biologists, who previously relied on microarray analysis for those data (e.g. Toth et al. 2007; Marioni et al. 2008; Sultan et al. 2008; Vera et al. 2008), and for researchers investigating animals for which microarrays were a long way from being available or optimized (e.g. Gilad et…”
MethodProtistan diseases of commercially important crabs: A review
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“As a result, because of the parasite’s potential and highly significant negative impact on ecosystems and fisheries, it appears crucial that the entire genome be sequenced or transcriptomes (Vera et al., 2008) of the parasite at various lie history stages should be documented and compared between clades.”
BackgroundAccuracy of allele frequency estimation using pooled RNA ‐Seq
Konczal, M., Koteja, P., Stuglik, M., Radwan, J., & Babik, W. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12186 · Cited by 62
“This approach has been broadly used in ecological genomics (Vera et al. 2008; Babik et al. 2010; Jeukens et al. 2010; Wolf et al. 2010; Salem et al. 2012).”
MethodCell type‐specific transcriptional profiling: implications for metabolite profiling
Rogers, E., Jackson, T. L., Moussaieff, A., Aharoni, A., & Benfey, P. N. (2012) · The Plant Journal · doi:10.1111/j.1365-313x.2012.04888.x · Cited by 63
“Results from early RNAseq experiments have already identified many previously unknown expressed transcripts, and have also been used to detect novel non-coding RNA molecules (Lister et al., 2008; Vera et al., 2008).”
BackgroundGlobal transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds
Pradhan, S., Bandhiwal, N., Shah, N., Kant, C., Gaur, R., & Bhatia, S. (2014) · Frontiers in Plant Science · doi:10.3389/fpls.2014.00698 · Cited by 65
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“blies was performed in transcriptome data for various life history stages of the Glanville fritillary butterfly (Melitaea cinxia) (Vera et al., 2008).”
Hyun, T. K., Lee, S., Rim, Y., Kumar, R., Han, X., Lee, S. Y., Lee, C. H., & Kim, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088292 · Cited by 75
“In addition, this approach has also allowed the analysis of gene expression profiling using quantitative (q) PCR, microarrays or the quantification of short cDNA reads [29–31].”
MethodPicoliter DNA sequencing chemistry on an electrowetting‐based digital microfluidic platform
Welch, E. R. F., Lin, Y., Madison, A. C., & Fair, R. B. (2010) · Biotechnology Journal · doi:10.1002/biot.201000324 · Cited by 67
Transcriptome profiling in neurodegenerative disease
Courtney, E., Kornfeld, S., Janitz, K., & Janitz, M. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.08.018 · Cited by 64
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“We also tested whether duplicated zebra finch b-defensin genes where evolving according to different selection pressures compared to unduplicated genes and investigated tissue specific expression patterns of this gene cluster using a digital transcriptomic approach [27,28].”
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Lerner, H. R. L., & Fleischer, R. C. (2010) · The Auk · doi:10.1525/auk.2010.127.1.4 · Cited by 59
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“[32]].”
Chemosensory genes identified in the antennal transcriptome of the blowfly Calliphora stygia
Leitch, O., Papanicolaou, A., Lennard, C. J., Kirkbride, K. P., & Anderson, A. R. (2015) · BMC Genomics · doi:10.1186/s12864-015-1466-8 · Cited by 73
“Predicted protein domain organisation of IRs with associated Pfam predicted domains (adapted from [23,54]).”
BackgroundReprint of: using nuclear gene data for plant phylogenetics: progress and prospects.
Zimmer, E., & Wen, J. (2013) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2013.01.005 · Cited by 64
Generation of a reference transcriptome for evaluating rainbow trout responses to various stressors
Castaño-Sánchez, C., Weber, G. M., Gao, G., Cleveland, B. M., Yao, J., & Rexroad, C. E. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-626 · Cited by 61
“Recently developed high-throughput sequencing technologies offer a new approach (RNASeq) for characterizing transcriptomes through high-throughput sequencing, mapping and quantification [20-31].”
MethodKalavacharla, V., Liu, Z.-J., Meyers, B., Thimmapuram, J., & Melmaiee, K. (2011) · BMC Plant Biology · doi:10.1186/1471-2229-11-135 · Cited by 64
“The emergence of next-generation sequencing technologies has substantially helped advance plant genome research, particularly for non-model plant species [14].”
BackgroundReed, D. H. (2010) · Animal Conservation · doi:10.1111/j.1469-1795.2010.00353.x · Cited by 68
“However, with the advent of next generation sequencing techniques, for example 454 sequencing for non-model organisms (Vera et al., 2008) and rapid SNP discovery (Baird et al.”
MethodWang, S., Zhang, L., Meyer, E., & Matz, M. V. (2009) · Genome biology · doi:10.1186/gb-2009-10-11-r126 · Cited by 61
“The criteria that we used for SNP mining (at least 3× occurrence of the minority allele and at least 6× read coverage) are more stringent than those typically used (2× occurrence of the minority allele, and 4× or 5× read coverage) [11,31,32].”
BackgroundMethodTranscriptome Analysis of Drought Induced Stress in Chenopodium quinoa
Raney, J. A., Reynolds, D. J., Elzinga, D. B., Page, J. T., Udall, J. A., Jellen, E. N., Bonfacio, A., Fairbanks, D. J., & Maughan, P. J. (2014) · American Journal of Plant Sciences · doi:10.4236/ajps.2014.53047 · Cited by 50
“zation of non-model plant transcriptomes [47,48].”
BackgroundAn essay on the necessity and feasibility of conservation genomics
Ouborg, N. J., Angeloni, F., & Vergeer, P. (2009) · Conservation Genetics · doi:10.1007/s10592-009-0016-9 · Cited by 54
“Primmer (2009) reviewed examples in the Atlantic Salmon (Vasemägi et al. 2005a, b), the California Condor (Romanov et al. 2006) and the Glanville Fritillary butterfly (Vera et al. 2008; Wheat at all, this issue).”
BackgroundA review of genetic analyses of hybridisation in New Zealand
Morgan‐Richards, M., Smissen, R., Shepherd, L., Wallis, G., Hayward, J. J., Chan, C.-H., Chambers, G., & Chapman, H. (2009) · doi:10.1080/03014220909510561 · Cited by 63
“The ability to sequence genomes of non-model organisms with little or no preliminary sequence information represents a major step in comparative genomics and evolutionary biology (Vera et al. 2008).”
BackgroundData Production and Analysis in Population Genomics
Pompanon, F., & Bonin, A. (2012) · Methods in Molecular Biology · doi:10.1007/978-1-61779-870-2 · Cited by 63
“From these simulated data, they applied six different sampling schemes: (1) Trapper sampling, 360 individuals drawn randomly across the entire simulated landscape, (2) Research sampling, individuals drawn in 10 clusters of 36, i.”
BackgroundMethodInfluentialZajac, B. K., Amendt, J., Horres, R., Verhoff, M. A., & Zehner, R. (2014) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2014.11.013 · Cited by 60
“Therefore, with regard to the rapid progress in the field of nextgeneration sequencing, which allows the development of new, deeper, and faster analyses of forensically-relevant processes of development, without being limited to model organisms [25–28], we analyzed the transcriptome of C.”
BackgroundFirmino, A., Fonseca, F. C. D. A., de Macedo, L. L. P., Coelho, R. R., de Souza, J. D. A., Togawa, R., Silva-Junior, O., Pappas-Jr, G. J., da Silva, M. C. M., Engler, G., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0085079 · Cited by 62
“Moreover, some transcriptome studies were made in order to provide ESTs datasets of model and non-model insects [9,17–19] and have become an effective way of assessing gene expression levels.”
BackgroundPascoal, S., Carvalho, G. R., Vasieva, O., Hughes, R. N., Cossins, A. R., Fang, Y., Ashelford, K. E., Olohan, L. A., Barroso, C. M., Mendo, S., et al. (2012) · Molecular Ecology · doi:10.1111/mec.12137 · Cited by 65
“According to contemporary approaches to Roche 454 transcriptome analyses, we encapsulated intraspecific, tissue and temporal variability in the transcriptome capture experiment (Vera et al. 2008).”
Methodde la serrana, D. G., Estévez, A., Andree, K. B., & Johnston, I. A. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-181 · Cited by 57
“In addition, previous studies [30,31,33] have considered singletons to be a valid source for gene discovery whereas the 96,000 singletons (4805 annotated) obtained in the present study were not included in further analysis.”
BackgroundIlves, K., Huang, W., Wares, J., & Hickerson, M. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04790.x · Cited by 62
“…more data become available across larger numbers of nonmodel organisms (Wakeley 2004; Anderson 2007) with the advent of new sequencing technologies (Vera et al. 2008; Wheat 2009) and increasing analytical advances for exploring a larger number of specified histories (Lopes et al. 2009; Wegmann et…”
BackgroundGregory, R., Darby, A. C., Irving, H., Coulibaly, M. B., HUGHES, M. A., Koekemoer, L. L., Coetzee, M., Ranson, H., Hemingway, J., Hall, N., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017418 · Cited by 56
“be due to conserved motifs in different genes, or the presence of variants of single genes created by alternative splicing or allelic differences within the population of individuals sequenced [8].”
BackgroundMethodInfluentialLocomotion in Response to Shifting Climate Zones: Not So Fast
Feder, M. E., Garland, T., Marden, J. H., & Zera, A. J. (2010) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021909-135804 · Cited by 57
“, transcriptome sequencing, custom oligonucleotide microarray fabrication, and large-scale SNP discovery (157)].”
Self-citationSwevers, L., Huvenne, H., Menschaert, G., Kontogiannatos, D., Kourti, A., Pauchet, Y., ffrench-Constant, R., & Smagghe, G. (2013) · Insect molecular biology (Print) · doi:10.1111/imb.12054 · Cited by 60
“…entomology, this method is being increasingly used to gain insight into different insect genomes, from both agriculturally important nonmodel and non-whole genome sequenced insects (Vera et al., 2008; Pauchet et al., 2009, 2010a,b; Mittapalli et al., 2010; O’Neil et al., 2010; Price et al., 2011).”
MethodZhang, X., Ye, N., Liang, C., Mou, S., Fan, X., Xu, J., Xu, D., & Zhuang, Z. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-565 · Cited by 59
“Recent studies have demonstrated the success of 454 de novo sequencing, assembly and analysis of transcriptomes in non-model organisms with no prior genomic resources [30-33].”
BackgroundSze, S. ‐., Dunham, J. P., Carey, B.-L., Chang, P. L., Li, F., Edman, R. M., Fjeldsted, C., Scott, M. J., Nuzhdin, S. V., & Tarone, A. M. (2012) · Insect Molecular Biology · doi:10.1111/j.1365-2583.2011.01127.x · Cited by 54
“This new promise has created an intense demand for tools that will enable the de novo assembly of genomic information (Vera et al., 2008; Zerbino & Birney, 2008; Birol et al., 2009; Hahn et al., 2009; Guttman et al., 2010; Kumar & Blaxter, 2010; Robertson et al., 2010; Wang et al., 2010).”
BackgroundPinosio, S., González‐Martínez, S. C., Bagnoli, F., Cattonaro, F., Grivet, D., Marroni, F., Lorenzo, Z., Pausas, J. G., Verdú, M., & Vendramin, G. G. (2014) · Molecular Ecology Resources · doi:10.1111/1755-0998.12232 · Cited by 60
“Our study, as well as those by Vera et al. (2008) and Parchman et al. (2010), highlights the usefulness of NGS for rapid and cost-effective SSRs discovery.”
Wang, S., Hou, R., Bao, Z., Du, H., He, Y., Su, H., Zhang, Y., Fu, X., Jiao, W., Li, Y., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063927 · Cited by 59
“The poor annotation efficiency was comparable to those reported in other de novo transcriptome sequencing studies based on the NGS platforms [22,33–36].”
ResultMishima, K., Fujiwara, T., Iki, T., Kuroda, K., Yamashita, K., Tamura, M., Fujisawa, Y., & Watanabe, A. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-219 · Cited by 57
“This type of sequencing can result in high transcriptome coverage depth and facilitates the de novo assembly of transcriptomes from species where full genomes do not exist [17,18].”
Saastamoinen, M., Ikonen, S., Wong, S. C., Lehtonen, R., & Hanski, I. (2013) · Journal of Animal Ecology · doi:10.1111/1365-2656.12034 · Cited by 53
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“Previous reports of ESTs from non-model, yet ecologically and economically important organisms have been successfully sequenced and annotated using next generation sequencing [19-21].”
MethodRapid transcriptome and proteome profiling of a non‐model marine invertebrate, Bugula neritina
Wang, H., Zhang, H., Wong, Y. H., Voolstra, C. R., Ravasi, T., Bajić, V. B., & Qian, P. (2010) · PROTEOMICS · doi:10.1002/pmic.201000056 · Cited by 63
“The robustness of these technologies has been demonstrated in profiling the transcriptomes of not only model animals [7, 8] but also non-model species [9, 10].”
BackgroundAndrés, J., Larson, E., Bogdanowicz, S., & Harrison, R. (2013) · Genetics · doi:10.1534/genetics.112.142299 · Cited by 56
“We used assembly parameters that are similar to those reported in other transcriptome assemblies (e.g. Renaut et al. 2010; Vera et al. 2008), including an estimate of 100x fixed coverage, an estimated transcriptome length of 20 megabases, gap penalty = 25, match size = 19, mismatch penalty = 25,…”
MethodTranscriptome analysis of the salivary glands of potato leafhopper, Empoasca fabae.
DeLay, B., Mamidala, P., Wijeratne, A., Wijeratne, S., Mittapalli, O., Wang, J., & Lamp, W. (2012) · Journal of insect physiology · doi:10.1016/j.jinsphys.2012.10.002 · Cited by 56
“Roche 454 pyrosequencing has in the recent past revolutionized functional genomic studies in non-model organisms, particularly in insects wherein little to no genetic information is available (Francischetti et al., 2007; Morozova and Marra, 2008; Margulies et al., 2005; Vera et al., 2008; Pauchet et al., 2009; Mittapa…”
BackgroundXie, M., Huang, Y., Zhang, Y., Wang, X., Yang, H., Yu, O. S., Dai, W., & Fang, C. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-823 · Cited by 54
“RNA-seq is not limited to detecting transcripts for organisms with existing genomic sequences; it also can be used to sequence nonmodel organisms that lack of genomic information [21-25].”
BackgroundSedeek, K. E. M., Qi, W., Schauer, M. A., Gupta, A. K., Poveda, L., Xu, S., Liu, Z., Grossniklaus, U., Schiestl, F. P., & Schlüter, P. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064621 · Cited by 70
“These technologies have proven effective for expanding the available sequence information not only for model species [36,37] but also for non-model species [38,39] such as Ophrys, the large genome size of which (,10 Gbp [40]) makes transcriptome sequencing a good choice for gene discovery.”
BackgroundKvist, J., Wheat, C., Kallioniemi, E., Saastamoinen, M., Hanski, I., & Frilander, M. (2013) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05521.x · Cited by 55
“RNA samples were hybridized to custom-made microarrays (Vera et al. 2008).”
MethodSelf-citationSampling the Waterhemp (Amaranthus tuberculatus) Genome Using Pyrosequencing Technology
Lee, R. M., Thimmapuram, J., Thinglum, K. A., Gong, G., Hernandez, A. G., Wright, C., Kim, R. W., Mikel, M. A., & Tranel, P. (2009) · Weed science · doi:10.1614/ws-09-021.1 · Cited by 55
“As an alternative to whole-genome sequencing, one could focus on narrowing the initial template by, for example, using a normalized cDNA library to generate transcriptome data, and thereby increase the useable output (Vera et al. 2008).”
Hofmann, G., O'Donnell, M. J., & Todgham, A. (2008) · Marine Ecology Progress Series · doi:10.3354/meps07775 · Cited by 55
Reducing bias in RNA sequencing data: a novel approach to compute counts
Finotello, F., Lavezzo, E., Bianco, L., Barzon, L., Mazzon, P. E., Fontana, P., Toppo, S., & Camillo, B. D. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-s1-s7 · Cited by 55
“The possibility of sequencing transcriptomes at single-base resolution has opened a wide frontier of applications in transcriptomics research: transcriptome profiling of non-model organisms [5,6], novel transcripts discovery [7], quantification of allele-specific gene expression [8], investigation of * Correspondence:…”
BackgroundJiang, B., Xie, D.-S., Liu, W.-R., Peng, Q.-W., & He, X.-M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071054 · Cited by 54
“The average length of the unigenes was 709 bp, which was longer than those assembled in previous studies, for example, with butterfly (197 bp) [28], sweet potato (581 bp) [15], Salvia miltiorrhiza (331 bp) [19], and safflower (446 bp) [29].”
BackgroundReading, B., Chapman, R., Schaff, J., Scholl, E. H., Opperman, C., & Sullivan, C. (2012) · BMC Research Notes · doi:10.1186/1756-0500-5-111 · Cited by 54
RNA-Seq and its applications: a new technology for transcriptomics
Qi, Y., Liu, Y., & Wei-heng, R. (2011) · Hereditas (Beijing) · doi:10.3724/sp.j.1005.2011.01191 · Cited by 58
“异、基因家族中相似基因以及可变剪接造成的不同 转录本的表达 ([29]), 同时不存在传统微阵列杂交的荧 光模拟信号带来的交叉反应和背景噪音问题, 能覆 盖信号超高的动态变化范围。(2)高灵敏度:能够检 测到细胞中少至几个拷贝的稀有转录本。(3)任意物 种的全基因组分析:无需预先设计特异性探针, 因 此无需了解物种基因信息, 能够直接对任何物种进 行转录组分析 , 这对非模式生物的研究尤为重要 , 例如Wang等 ([30])、Xiang等 [31] 和 Vera等 ([32])利用 RNA-Seq技术分别对白粉虱、海鲈鱼和蝴蝶转录组 进行了研究。同时能够检测未知基因, 发现新的转 录本, 并精确地识别可变剪切位点及cSNP, U…”
BackgroundInfluentialGenotype by temperature interactions in the metabolic rate of the Glanville fritillary butterfly
Niitepõld, K. (2010) · Journal of Experimental Biology · doi:10.1242/jeb.034132 · Cited by 59
Izzah, N. K., Lee, J., Jayakodi, M., Perumal, S., Jin, M., Park, B., Ahn, K., & Yang, T. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-149 · Cited by 53
Zhang, Y., Zhang, S., Han, S., Li, X., & Qi, L. (2012) · Plant Cell Reports · doi:10.1007/s00299-012-1277-1 · Cited by 52
“Thus, the identification and characterization of expressed genes in the form of expressed sequence tags (ESTs) from a full-length cDNA library represents an attractive and valuable alternative to whole genome sequencing (Bouck and Vision 2007; Emrich et al. 2007; Vera et al. 2008).”
BackgroundHemmer‐Hansen, J., Nielsen, E. E., Meldrup, D., & Mittelholzer, C. (2011) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2010.02940.x · Cited by 47
“While such approaches may become widely used within the next few years, genetic markers have so far mostly been developed through sequencing the parts of the genome that were expressed at the time of sampling (e.g. Vera et al. 2008).”
BackgroundTranscriptional Profiling of Rapidly Growing Cucumber Fruit by 454-Pyrosequencing Analysis
Ando, K., & Grumet, R. (2010) · Journal of the American Society for Horticultural Science · doi:10.21273/jashs.135.4.291 · Cited by 53
“299 as microarrays and subtraction cDNA libraries (Shendure, 2008; Vera et al., 2008; Weber et al., 2007).”
BackgroundXu, G., Du, F., Li, Y., Nie, Z., & Xu, P. (2016) · Scientific Reports · doi:10.1038/srep31835 · Cited by 59
Genomic approaches with natural fish populations
Oleksiak, M. F. (2010) · Journal of Fish Biology · doi:10.1111/j.1095-8649.2010.02563.x · Cited by 44
“Gene expression studies have huge potential for non-model species by using 454 sequencing to quickly sequence thousands of transcripts: these sequences are used to direct the synthesis of oligonucleotide microarrays (Vera et al., 2008).”
Digital gene expression analysis of the zebra finch genome
Ekblom, R., Balakrishnan, C. N., Burke, T. A., & Slate, J. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-219 · Cited by 45
“Still, this methodology would also work well when addressing a non-model species without any prior genome information [10].”
BackgroundLandscape Genomics: A Brief Perspective
Schwartz, M. K., McKelvey, K., Cushman, S., & Luikart, G. (2010) · doi:10.1007/978-4-431-87771-4_9 · Cited by 52
“We can now generate sequence data for 100s of loci in dozens of individuals from non-model species relatively quickly (Shendure and Ji 2008; Meyer et al. 2008; Vera et al. 2008).”
BackgroundMethodZhu, G., Zhong, D., Cao, J., Zhou, H., Li, J., Liu, Y., Bai, L., Xu, S., Wang, M., Zhou, G., et al. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-448 · Cited by 46
“funestus [24], Aedes aegypti [25], Bactrocera dorsalis [26], Melitaea cinxia [27], Zygaena filipendulae [28], Chrysomela tremulae [29], Aphis glycines [30], Cimex lectularius [31], Manduca sexta [32,33], Laodelphax striatellus [34], Stomoxys calcitrans [35], Dermacentor variabilis [35], Erynnis propertius and Papilio…”
BackgroundWang, R., Xu, S., Jiang, Y., Jiang, J., Li, X., Liang, L., He, J., Peng, F., & Xia, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060449 · Cited by 50
“Also, many EST libraries of a wide range of plant species have been constructed for genes involved in plant growth and differentiation [46,50], biochemical pathways [47,48], secondary metabolism [51,52] as well as responses to environmental stresses and pathogen attack [53].”
BackgroundDuctal carcinoma in situ of the breast: the importance of morphologic and molecular interactions
Gargano, S., Bombonati, A., & Palazzo, J. (2015) · Human Pathology · doi:10.1016/j.humpath.2015.11.003 · Cited by 57
“[90] Vera JC, Wheat CW, Fescemyer HW, et al.”
BackgroundTse, W. K. F., Sun, J., Zhang, H., Law, A. Y. S., Yeung, B. H. Y., Chow, S. C., Qiu, J., & Wong, C. K. C. (2013) · Journal of Proteomics · doi:10.1016/j.jprot.2013.05.026 · Cited by 62
“[9] Vera JC, Wheat CW, Fescemyer HW, et al.”
Transcriptome Sequencing and De Novo Analysis of the Copepod Calanus sinicus Using 454 GS FLX
Ning, J., Wang, M., Li, C., & Sun, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063741 · Cited by 50
“In addition, this sequencing method allows the de novo assembly and annotation of expressed genes [13], which makes it highly suitable for non-model organisms.”
MethodhnRNPDL extensively regulates transcription and alternative splicing.
Li, R., Hou, J., Wei, Y., Luo, X.-T., Ye, Y.-L., & Zhang, Y. (2019) · Gene · doi:10.1016/j.gene.2018.11.026 · Cited by 49
Zhang, T., Coates, B. S., Wang, Y., Wang, Y., Bai, S., Wang, Z., & He, K. (2017) · International Journal of Biological Sciences · doi:10.7150/ijbs.18868 · Cited by 60
“Sequencing of cDNAs and subsequent assembly of these data into transcripts is an effective means to discover novel genes [106], and has been greatly facilitated among non-model organisms by recent advances in high throughput RNA sequencing (RNA-seq) [107].”
BackgroundWang, Z., Wang, B., Chen, G., Jian, J., Lu, Y., Xu, Y., & Wu, Z. (2015) · Gene · doi:10.1016/j.gene.2015.09.014 · Cited by 50
Qi, X., Zhang, L.-S., Han, Y., Ren, X.-Y., Huang, J., & Chen, H. (2015) · BMC Genomics · doi:10.1186/s12864-015-2309-3 · Cited by 49
“To date, the transcriptomes of 68 species from 7 insect orders have been sequenced [41–43], and the transcriptome and expression profile data of some lady beetles such as Cryptolaemus montrouzieri Mulsant and Propylaea japonica (Thunberg) have been analyzed [44, 45].”
BackgroundWong, J., Pérez-Moreno, J. L., Chan, T., Frank, T., & Bracken-Grissom, H. (2015) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2014.11.013 · Cited by 49
Multiple insert size paired-end sequencing for deconvolution of complex transcriptomes
Smith, L. M., Hartmann, L., Drewe, P., Bohnert, R., Kahles, A., Lanz, C., & Rätsch, G. (2012) · RNA Biology · doi:10.4161/rna.19683 · Cited by 2
Orthologous genes identified by transcriptome sequencing in the spider genus Stegodyphus
Mattila, T., Bechsgaard, J., Hansen, T. T., Schierup, M., & Bilde, T. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-70 · Cited by 49
Vandenkoornhuyse, P., Dufresne, A., Quaiser, A., Gouesbet, G., Binet, F., Francez, A., Mahé, S., Bormans, M., Lagadeuc, Y., & Couée, I. (2010) · Ecology Letters · doi:10.1111/j.1461-0248.2010.01464.x · Cited by 71
Illumina-based de novo transcriptome sequencing and analysis of Amanita exitialis basidiocarps
Li, P., Deng, W.-Q., Li, T., Song, B., & Shen, Y.-H. (2013) · Gene · doi:10.1016/j.gene.2013.09.014 · Cited by 49
Genomic divergence between nine- and three-spined sticklebacks
Guo, B., Chain, F. J. J., Bornberg‐Bauer, E., Leder, E. H., & Merilä, J. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-756 · Cited by 43
“This proportion of contigs with BLAST hits is similar to previous transcriptome studies [47-49], in which contigs without significant hits may consist of untranslated transcripts, chimeras or assembly artifacts.”
ResultAngeloni, F., Wagemaker, C. A. M., Jetten, M. S. M., den Camp, H. J. M. O., Janssen‐Megens, E. M., Françoijs, K., Stunnenberg, H. G., & Ouborg, N. J. (2011) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2011.02990.x · Cited by 45
“BLASTx in the order of 30% of the sequences is common when using NGS technologies to characterize the transcriptome of nonmodel species (Novaes et al. 2008; Vera et al. 2008; Parchman et al. 2010).”
BackgroundMethodResultInfluentialRegier, N., Bærlocher, L., Münsterkötter, M., Farinelli, L., & Cosio, C. (2013) · Environmental Science & Technology · doi:10.1021/es401082h · Cited by 48
Fescemyer, H. W., Sandoya, G. V., Gill, T. A., Ozkan, S., Marden, J. H., & Luthe, D. S. (2013) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2012.12.008 · Cited by 55
Self-citationKitano, J., Ishikawa, A., Kume, M., & Mori, S. (2012) · Ichthyological Research · doi:10.1007/s10228-012-0289-8 · Cited by 56
“Next-generation sequencers would facilitate gen- ome scan analyses by using sequenced RAD (Baird et al. 2008; Hohenlohe et al. 2010; Rowe et al. 2011; Roesti et al. 2012) and transcriptome analyses by RNA-sequencing in non-model organisms (Vera et al. 2008).”
MethodRawat, A., Gust, K. A., Deng, Y., García‐Reyero, N., Quinn, M. J., Johnson, M. S., Indest, K. J., Elasri, M. O., & Perkins, E. J. (2010) · Physiological Genomics · doi:10.1152/physiolgenomics.00022.2010 · Cited by 39
Eierman, L. E., & Hare, M. P. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-503 · Cited by 50
“3% [53]) with a subset getting annotated.”
Wang, B., Ekblom, R., Bunikis, I., Siitari, H., & Höglund, . (2014) · BMC Genomics · doi:10.1186/1471-2164-15-180 · Cited by 48
“In particular, sequencing complete transcriptomes [2] or complexity-reduced fractions of genomes [3] has enabled the identification of genome-wide molecular markers such as single nucleotide polymorphisms (SNPs) and microsatellites (SSRs).”
BackgroundMarden, J. H., Fescemyer, H. W., Schilder, R. J., Doerfler, W. R., Vera, J. C., & Wheat, C. W. (2012) · Evolution · doi:10.1111/evo.12004 · Cited by 49
Self-citationSaarinen, E. V., & Austin, J. (2010) · Journal of Heredity · doi:10.1093/jhered/esq080 · Cited by 46
“These methods are quickly becoming integrated into ecological studies and conservation applications (Vera et al. 2008; Abdelkrim et al. 2009; Allentoft et al. 2009; Rasmussen and Noor 2009; Castoe et al. 2010).”
MethodTorales, S., Rivarola, M., Pomponio, M. F., González, S., Acuña, C. V., Fernández, P. D. C., Lauenstein, D. L., Verga, A., Hopp, H. E., Paniego, N. B., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-705 · Cited by 50
“The average length found in the present research was also larger than those of other non-model organisms ranging from 197 to 707 bp, [21-25].”
BackgroundKaur, H., Mao, S., Shah, S. K., Gorski, D. H., Krawetz, S. A., Sloane, B. F., & Mattingly, R. R. (2013) · Expert Review of Molecular Diagnostics · doi:10.1586/erm.13.4 · Cited by 49
Miller, H. C., Biggs, P. J., Voelckel, C., & Nelson, N. J. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-439 · Cited by 45
“[1,8,30,31]) have used 454 pyrosequencing because of the longer read length (>200 bp) produced from this type of sequencer, several recent studies have successfully performed de novo assembly of transcriptome data from Illumina reads ranging from 35 to 100 bp in length [3,32-35].”
BackgroundMethodTranscriptome analysis gene expression in the liver of Coilia nasus during the stress response
Du, F., Xu, G., Nie, Z., Xu, P., & Gu, R. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-558 · Cited by 46
“Transcriptome sequencing facilitates functional genomic studies, including global gene expression, novel gene discovery, and assembly of full-length genes [13-16].”
BackgroundMahomed, W., & van den Berg, N. (2011) · BMC Plant Biology · doi:10.1186/1471-2229-11-167 · Cited by 44
“Highthroughput sequencing is well suited for large scale EST discovery, providing a tool for gene discovery in nonmodel crops to evaluate the changes in gene expression to abiotic or biotic stresses [39-41].”
BackgroundKawahara‐Miki, R., Wada, K., Azuma, N., & Chiba, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026043 · Cited by 45
“Although most of these studies are based on the long-read sequence data using 454 pyrosequencing or employ a hybrid approach, the de novo assembly of transcriptomes using short reads (Illumina or SOLiD) has also received attention because of its relatively low cost [17,44–46].”
BackgroundLuo, C. H., Zhang, Q., & Luo, Z. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-112 · Cited by 50
“In addition, many studies have used de novo assembly of such data to produce genome-level resources for nonmodel organisms [35-38].”
BackgroundLee, J., Noh, E. K., Choi, H.-S., Shin, S. C., Park, H., & Lee, H. (2012) · Planta · doi:10.1007/s00425-012-1797-5 · Cited by 45
“Among the currently used high-throughput techniques, pyrosequencing is a useful method for de novo transcriptome analysis of non-model species (Novaes et al. 2008; Vera et al. 2008; Parchman et al. 2010).”
MethodMeyer, E., Logan, T. L., & Juenger, T. (2012) · The Plant Journal · doi:10.1111/j.1365-313x.2012.04938.x · Cited by 41
“, 2007) or microarrays (Vera et al., 2008).”
Lowe, C., Mello, L. V., Samatar, N., Martin, L. E., Montagnes, D. J. S., & Watts, P. C. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-519 · Cited by 43
“Thus, high throughput transcriptome sequencing represents a common starting point for large scale sequencing projects for a broad taxonomic range of organisms [18-20].”
BackgroundA Novel Approach for Mining Polymorphic Microsatellite Markers In Silico
Hoffman, J. I., & Nichols, H. J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023283 · Cited by 37
Correlation between RNA-Seq and microarrays results using TCGA data
Chen, L., Sun, F., Yang, X., Jin, Y., Shi, M., Wang, L., Shi, Y., Zhan, C., & Wang, Q. (2017) · Gene · doi:10.1016/j.gene.2017.07.056 · Cited by 62
Huang, L., Yan, H., Zhao, X., Zhang, X., Wang, J., Frazier, T., Yin, G., Huang, X., Yan, D. F., Zang, W., et al. (2015) · Molecular Ecology Resources · doi:10.1111/1755-0998.12418 · Cited by 45
“Therefore, next-generation sequencing has become the gold-standard technology for use for in gene discovery and high-throughput identification of molecular markers in nonmodel organisms (Vera et al. 2008).”
BackgroundZhang, M., Jiang, L., Zhang, D., & Jia, G. (2014) · Molecular Genetics and Genomics · doi:10.1007/s00438-014-0919-0 · Cited by 43
“Roche’s 454 GSFLX and Illumina/Solexa Genome Analyzer have been mainly used in de novo transcriptome assembly (Bai et al. 2011; Ge et al. 2011; Su et al. 2011; Vera et al. 2008; Wang et al. 2010a, b; Xue et al. 2010).”
BackgroundMethod
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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