1
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Fallon TR, Čalounová T, Mokrejš M, Weng JK, Pluskal T. transXpress: a Snakemake pipeline for streamlined de novo transcriptome assembly and annotation. BMC Bioinformatics 2023; 24:133. [PMID: 37016291 PMCID: PMC10074830 DOI: 10.1186/s12859-023-05254-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 03/24/2023] [Indexed: 04/06/2023] Open
Abstract
BACKGROUND RNA-seq followed by de novo transcriptome assembly has been a transformative technique in biological research of non-model organisms, but the computational processing of RNA-seq data entails many different software tools. The complexity of these de novo transcriptomics workflows therefore presents a major barrier for researchers to adopt best-practice methods and up-to-date versions of software. RESULTS Here we present a streamlined and universal de novo transcriptome assembly and annotation pipeline, transXpress, implemented in Snakemake. transXpress supports two popular assembly programs, Trinity and rnaSPAdes, and allows parallel execution on heterogeneous cluster computing hardware. CONCLUSIONS transXpress simplifies the use of best-practice methods and up-to-date software for de novo transcriptome assembly, and produces standardized output files that can be mined using SequenceServer to facilitate rapid discovery of new genes and proteins in non-model organisms.
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Affiliation(s)
- Timothy R Fallon
- Scripps Institution of Oceanography, UC San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA
| | - Tereza Čalounová
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo náměstí 2, 16000, Prague 6, Czech Republic
| | - Martin Mokrejš
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo náměstí 2, 16000, Prague 6, Czech Republic
| | - Jing-Ke Weng
- Whitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA, 02142, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
| | - Tomáš Pluskal
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo náměstí 2, 16000, Prague 6, Czech Republic.
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2
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Gibney D, Thankachan SV, Aluru S. On the Hardness of Sequence Alignment on De Bruijn Graphs. J Comput Biol 2022; 29:1377-1396. [DOI: 10.1089/cmb.2022.0411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Affiliation(s)
- Daniel Gibney
- School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Sharma V. Thankachan
- Department of Computer Science, North Carolina State University, Raleigh, North Carolina, USA
| | - Srinivas Aluru
- School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
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3
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Steffen K, Laborde Q, Gunasekera S, Payne CD, Rosengren KJ, Riesgo A, Göransson U, Cárdenas P. Barrettides: A Peptide Family Specifically Produced by the Deep-Sea Sponge Geodia barretti. JOURNAL OF NATURAL PRODUCTS 2021; 84:3138-3146. [PMID: 34874154 PMCID: PMC8713285 DOI: 10.1021/acs.jnatprod.1c00938] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Indexed: 05/16/2023]
Abstract
Natural product discovery by isolation and structure elucidation is a laborious task often requiring ample quantities of biological starting material and frequently resulting in the rediscovery of previously known compounds. However, peptides are a compound class amenable to an alternative genomic, transcriptomic, and in silico discovery route by similarity searches of known peptide sequences against sequencing data. Based on the sequences of barrettides A and B, we identified five new barrettide sequences (barrettides C-G) predicted from the North Atlantic deep-sea demosponge Geodia barretti (Geodiidae). We synthesized, folded, and investigated one of the newly described barrettides, barrettide C (NVVPCFCVEDETSGAKTCIPDNCDASRGTNP, disulfide connectivity I-IV, II-III). Co-elution experiments of synthetic and sponge-derived barrettide C confirmed its native conformation. NMR spectroscopy and the anti-biofouling activity on larval settlement of the bay barnacle Amphibalanus improvisus (IC50 0.64 μM) show that barrettide C is highly similar to barrettides A and B in both structure and function. Several lines of evidence suggest that barrettides are produced by the sponge itself and not one of its microbial symbionts.
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Affiliation(s)
- Karin Steffen
- Pharmacognosy,
Department of Pharmaceutical Biosciences, Biomedical Centre, Uppsala University, Husargatan 3, 751
23 Uppsala, Sweden
| | - Quentin Laborde
- Pharmacognosy,
Department of Pharmaceutical Biosciences, Biomedical Centre, Uppsala University, Husargatan 3, 751
23 Uppsala, Sweden
| | - Sunithi Gunasekera
- Pharmacognosy,
Department of Pharmaceutical Biosciences, Biomedical Centre, Uppsala University, Husargatan 3, 751
23 Uppsala, Sweden
| | - Colton D. Payne
- School
of Biomedical Sciences, The University of
Queensland, Brisbane, QLD 4072, Australia
| | - K. Johan Rosengren
- School
of Biomedical Sciences, The University of
Queensland, Brisbane, QLD 4072, Australia
| | - Ana Riesgo
- Department
of Life Sciences, The Natural History Museum, Cromwell Road, London SW7 5BD, United
Kingdom
- Department
of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales−CSIC, Calle José Gutiérrez Abascal 2, 28006, Madrid, Spain
| | - Ulf Göransson
- Pharmacognosy,
Department of Pharmaceutical Biosciences, Biomedical Centre, Uppsala University, Husargatan 3, 751
23 Uppsala, Sweden
| | - Paco Cárdenas
- Pharmacognosy,
Department of Pharmaceutical Biosciences, Biomedical Centre, Uppsala University, Husargatan 3, 751
23 Uppsala, Sweden
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4
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Luo Y, Liao X, Wu FX, Wang J. Computational Approaches for Transcriptome Assembly Based on Sequencing Technologies. Curr Bioinform 2020. [DOI: 10.2174/1574893614666190410155603] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Transcriptome assembly plays a critical role in studying biological properties and
examining the expression levels of genomes in specific cells. It is also the basis of many
downstream analyses. With the increase of speed and the decrease in cost, massive sequencing
data continues to accumulate. A large number of assembly strategies based on different
computational methods and experiments have been developed. How to efficiently perform
transcriptome assembly with high sensitivity and accuracy becomes a key issue. In this work, the
issues with transcriptome assembly are explored based on different sequencing technologies.
Specifically, transcriptome assemblies with next-generation sequencing reads are divided into
reference-based assemblies and de novo assemblies. The examples of different species are used to
illustrate that long reads produced by the third-generation sequencing technologies can cover fulllength
transcripts without assemblies. In addition, different transcriptome assemblies using the
Hybrid-seq methods and other tools are also summarized. Finally, we discuss the future directions
of transcriptome assemblies.
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Affiliation(s)
- Yuwen Luo
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Xingyu Liao
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Fang-Xiang Wu
- Division of Biomedical Engineering, University of Saskatchewan, Saskatchewan, Canada
| | - Jianxin Wang
- School of Computer Science and Engineering, Central South University, Changsha, China
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5
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Bibi N, Niaz H, Hupp T, Kamal MA, Rashid S. Screening and Identification of PLK1-Polo Box Binding Peptides by High-Throughput Sequencing of Phage-Selected Libraries. Protein Pept Lett 2019; 26:620-633. [PMID: 30887917 DOI: 10.2174/0929866526666190318101054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 03/05/2019] [Accepted: 03/07/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND Human proteome contains a plethora of short linear peptide motifs that is crucial for signaling and other cellular processes. These motifs are difficult to identify due to lack of systematic approach for their detection. OBJECTIVES Here we demonstrate the use of peptide phage display in combination with high throughput next generation sequencing to identify enriched peptide sequences through biopanning process against polo box domain (PBD) of mitotic polo like kinase 1 (Plk1). METHODS Purified recombinant Plk1 and two unrelated controls namely B-lymphocyte antigen (CD20) and fluorescent protein (mCherry) were subjected to peptide phage display analysis. Bacterially-propagated phage DNA was amplified by PCR using triplet bar coded primers to tag the pool from each amplicon. RESULTS Proteomic peptide phage display along with next generation sequencing and Bioinformatics analysis demonstrated several known and putative novel interactions which were potentially related to Plk1-PBD. With our strategy, we were able to identify and characterize several Plk1-PBD binding peptides, as well as define more precisely, consensus sequences. CONCLUSION We believe that this information could provide valuable tools for exploring novel interaction involved in Plk1 signaling as well as to choose peptides for Plk1 specific drug development.
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Affiliation(s)
- Nousheen Bibi
- Shaheed Benazir Bhutto Women University, Peshawar, Pakistan
| | - Hafsa Niaz
- National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan
| | - Ted Hupp
- Edinburgh Cancer Research Center, University of Edinburgh, United Kingdom
| | - Mohammad Amjad Kamal
- King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Enzymoics, 7 Peterlee Place, Hebersham, NSW 2770, Australia
- Novel Global Community Educational Foundation, Australia
| | - Sajid Rashid
- National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan
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6
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Persinoti GF, Martinez DA, Li W, Döğen A, Billmyre RB, Averette A, Goldberg JM, Shea T, Young S, Zeng Q, Oliver BG, Barton R, Metin B, Hilmioğlu-Polat S, Ilkit M, Gräser Y, Martinez-Rossi NM, White TC, Heitman J, Cuomo CA. Whole-Genome Analysis Illustrates Global Clonal Population Structure of the Ubiquitous Dermatophyte Pathogen Trichophyton rubrum. Genetics 2018; 208:1657-1669. [PMID: 29467168 PMCID: PMC5887155 DOI: 10.1534/genetics.117.300573] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 02/07/2018] [Indexed: 11/18/2022] Open
Abstract
Dermatophytes include fungal species that infect humans, as well as those that also infect other animals or only grow in the environment. The dermatophyte species Trichophyton rubrum is a frequent cause of skin infection in immunocompetent individuals. While members of the T. rubrum species complex have been further categorized based on various morphologies, their population structure and ability to undergo sexual reproduction are not well understood. In this study, we analyze a large set of T. rubrum and T. interdigitale isolates to examine mating types, evidence of mating, and genetic variation. We find that nearly all isolates of T. rubrum are of a single mating type, and that incubation with T. rubrum "morphotype" megninii isolates of the other mating type failed to induce sexual development. While the region around the mating type locus is characterized by a higher frequency of SNPs compared to other genomic regions, we find that the population is remarkably clonal, with highly conserved gene content, low levels of variation, and little evidence of recombination. These results support a model of recent transition to asexual growth when this species specialized to growth on human hosts.
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Affiliation(s)
- Gabriela F Persinoti
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Brazil 14049-900
| | - Diego A Martinez
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142
| | - Wenjun Li
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina 27710
| | - Aylin Döğen
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina 27710
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Mersin, Turkey 33110
| | - R Blake Billmyre
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina 27710
| | - Anna Averette
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina 27710
| | - Jonathan M Goldberg
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142
| | - Terrance Shea
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142
| | - Sarah Young
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142
| | - Qiandong Zeng
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142
| | - Brian G Oliver
- Center for Infectious Disease Research, Seattle, Washington 98109
| | - Richard Barton
- School of Molecular and Cellular Biology, University of Leeds, United Kingdom LS2 9JT
| | - Banu Metin
- Department of Food Engineering, Faculty of Engineering and Natural Sciences, Istanbul Sabahattin Zaim University, Turkey
| | | | - Macit Ilkit
- Division of Mycology, Department of Microbiology, Faculty of Medicine, University of Çukurova, Adana, Turkey 01330
| | - Yvonne Gräser
- Institute of Microbiology and Hygiene, University Medicine Berlin - Charité, Germany 12203
| | - Nilce M Martinez-Rossi
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Brazil 14049-900
| | - Theodore C White
- School of Biological Sciences, University of Missouri-Kansas City, Missouri 64110
| | - Joseph Heitman
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina 27710
| | - Christina A Cuomo
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142
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7
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Enriching Genomic Resources and Marker Development from Transcript Sequences of Jatropha curcas for Microgravity Studies. Int J Genomics 2017; 2017:8614160. [PMID: 28154822 PMCID: PMC5244023 DOI: 10.1155/2017/8614160] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 11/28/2016] [Indexed: 01/22/2023] Open
Abstract
Jatropha (Jatropha curcas L.) is an economically important species with a great potential for biodiesel production. To enrich the jatropha genomic databases and resources for microgravity studies, we sequenced and annotated the transcriptome of jatropha and developed SSR and SNP markers from the transcriptome sequences. In total 1,714,433 raw reads with an average length of 441.2 nucleotides were generated. De novo assembling and clustering resulted in 115,611 uniquely assembled sequences (UASs) including 21,418 full-length cDNAs and 23,264 new jatropha transcript sequences. The whole set of UASs were fully annotated, out of which 59,903 (51.81%) were assigned with gene ontology (GO) term, 12,584 (10.88%) had orthologs in Eukaryotic Orthologous Groups (KOG), and 8,822 (7.63%) were mapped to 317 pathways in six different categories in Kyoto Encyclopedia of Genes and Genome (KEGG) database, and it contained 3,588 putative transcription factors. From the UASs, 9,798 SSRs were discovered with AG/CT as the most frequent (45.8%) SSR motif type. Further 38,693 SNPs were detected and 7,584 remained after filtering. This UAS set has enriched the current jatropha genomic databases and provided a large number of genetic markers, which can facilitate jatropha genetic improvement and many other genetic and biological studies.
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8
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Kang SW, Patnaik BB, Hwang HJ, Park SY, Chung JM, Song DK, Patnaik HH, Lee JB, Kim C, Kim S, Park HS, Han YS, Lee JS, Lee YS. Transcriptome sequencing and de novo characterization of Korean endemic land snail, Koreanohadra kurodana for functional transcripts and SSR markers. Mol Genet Genomics 2016; 291:1999-2014. [PMID: 27507702 DOI: 10.1007/s00438-016-1233-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 07/25/2016] [Indexed: 02/03/2023]
Abstract
The Korean endemic land snail Koreanohadra kurodana (Gastropoda: Bradybaenidae) found in humid areas of broadleaf forests and shrubs have been considered vulnerable as the number of individuals are declining in recent years. The species is poorly characterized at the genomic level that limits the understanding of functions at the molecular and genetics level. In the present study, we performed de novo transcriptome sequencing to produce a comprehensive transcript dataset of visceral mass tissue of K. kurodana by the Illumina paired-end sequencing technology. Over 234 million quality reads were assembled to a total of 315,924 contigs and 191,071 unigenes, with an average and N50 length of 585.6 and 715 bp and 678 and 927 bp, respectively. Overall, 36.32 % of the unigenes found matches to known protein/nucleotide sequences in the public databases. The direction of the unigenes to functional categories was determined using COG, GO, KEGG, and InterProScan protein domain search. The GO analysis search resulted in 22,967 unigenes (12.02 %) being categorized into 40 functional groups. The KEGG annotation revealed that metabolism pathway genes were enriched. The most prominent protein motifs include the zinc finger, ribonuclease H, reverse transcriptase, and ankyrin repeat domains. The simple sequence repeats (SSRs) identified from >1 kb length of unigenes show a dominancy of dinucleotide repeat motifs followed with tri- and tetranucleotide motifs. A number of unigenes were putatively assessed to belong to adaptation and defense mechanisms including heat shock proteins 70, Toll-like receptor 4, AMP-activated protein kinase, aquaporin-2, etc. Our data provide a rich source for the identification and functional characterization of new genes and candidate polymorphic SSR markers in K. kurodana. The availability of transcriptome information ( http://bioinfo.sch.ac.kr/submission/ ) would promote the utilization of the resources for phylogenetics study and genetic diversity assessment.
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Affiliation(s)
- Se Won Kang
- Department of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, Korea
| | - Bharat Bhusan Patnaik
- Department of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, Korea.,Trident School of Biotech Sciences, Trident Academy of Creative Technology (TACT), Chandaka Industrial Estate, Chandrasekharpur, Bhubaneswar, Odisha, 751024, India
| | - Hee-Ju Hwang
- Department of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, Korea
| | - So Young Park
- Department of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, Korea
| | - Jong Min Chung
- Department of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, Korea
| | - Dae Kwon Song
- Department of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, Korea
| | - Hongray Howrelia Patnaik
- Department of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, Korea
| | - Jae Bong Lee
- Korea Zoonosis Research Institute (KOZRI), Chonbuk National University, 820-120 Hana-ro, Iksan, Jeollabuk-do, 54528, Korea
| | - Changmu Kim
- National Institute of Biological Resources, 42, Hwangyeong-ro, Seo-gu, Incheon, 22689, Korea
| | - Soonok Kim
- National Institute of Biological Resources, 42, Hwangyeong-ro, Seo-gu, Incheon, 22689, Korea
| | - Hong Seog Park
- Research Institute, GnC BIO Co., LTD., 621-6 Banseok-dong, Yuseong-gu, Daejeon, 34069, Korea
| | - Yeon Soo Han
- College of Agriculture and Life Science, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, Korea
| | - Jun Sang Lee
- Institute of Environmental Research, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon-si, Gangwon-do, 243341, Korea
| | - Yong Seok Lee
- Department of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, Korea.
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10
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Serra AA, Couée I, Heijnen D, Michon-Coudouel S, Sulmon C, Gouesbet G. Genome-Wide Transcriptional Profiling and Metabolic Analysis Uncover Multiple Molecular Responses of the Grass Species Lolium perenne Under Low-Intensity Xenobiotic Stress. FRONTIERS IN PLANT SCIENCE 2015; 6:1124. [PMID: 26734031 PMCID: PMC4681785 DOI: 10.3389/fpls.2015.01124] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 11/27/2015] [Indexed: 05/26/2023]
Abstract
Lolium perenne, which is a major component of pastures, lawns, and grass strips, can be exposed to xenobiotic stresses due to diffuse and residual contaminations of soil. L. perenne was recently shown to undergo metabolic adjustments in response to sub-toxic levels of xenobiotics. To gain insight in such chemical stress responses, a de novo transcriptome analysis was carried out on leaves from plants subjected at the root level to low levels of xenobiotics, glyphosate, tebuconazole, and a combination of the two, leading to no adverse physiological effect. Chemical treatments influenced significantly the relative proportions of functional categories and of transcripts related to carbohydrate processes, to signaling, to protein-kinase cascades, such as Serine/Threonine-protein kinases, to transcriptional regulations, to responses to abiotic or biotic stimuli and to responses to phytohormones. Transcriptomics-based expressions of genes encoding different types of SNF1 (sucrose non-fermenting 1)-related kinases involved in sugar and stress signaling or encoding key metabolic enzymes were in line with specific qRT-PCR analysis or with the important metabolic and regulatory changes revealed by metabolomic analysis. The effects of pesticide treatments on metabolites and gene expression strongly suggest that pesticides at low levels, as single molecule or as mixture, affect cell signaling and functioning even in the absence of major physiological impact. This global analysis of L. perenne therefore highlighted the interactions between molecular regulation of responses to xenobiotics, and also carbohydrate dynamics, energy dysfunction, phytohormones and calcium signaling.
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Affiliation(s)
- Anne-Antonella Serra
- Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIORennes, France
| | - Ivan Couée
- Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIORennes, France
| | - David Heijnen
- Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIORennes, France
| | - Sophie Michon-Coudouel
- Centre National de la Recherche Scientifique, Université de Rennes 1, UMS 3343 OSURRennes, France
| | - Cécile Sulmon
- Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIORennes, France
| | - Gwenola Gouesbet
- Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIORennes, France
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11
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Daly GM, Leggett RM, Rowe W, Stubbs S, Wilkinson M, Ramirez-Gonzalez RH, Caccamo M, Bernal W, Heeney JL. Host Subtraction, Filtering and Assembly Validations for Novel Viral Discovery Using Next Generation Sequencing Data. PLoS One 2015; 10:e0129059. [PMID: 26098299 PMCID: PMC4476701 DOI: 10.1371/journal.pone.0129059] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Accepted: 05/04/2015] [Indexed: 12/18/2022] Open
Abstract
The use of next generation sequencing (NGS) to identify novel viral sequences from eukaryotic tissue samples is challenging. Issues can include the low proportion and copy number of viral reads and the high number of contigs (post-assembly), making subsequent viral analysis difficult. Comparison of assembly algorithms with pre-assembly host-mapping subtraction using a short-read mapping tool, a k-mer frequency based filter and a low complexity filter, has been validated for viral discovery with Illumina data derived from naturally infected liver tissue and simulated data. Assembled contig numbers were significantly reduced (up to 99.97%) by the application of these pre-assembly filtering methods. This approach provides a validated method for maximizing viral contig size as well as reducing the total number of assembled contigs that require down-stream analysis as putative viral nucleic acids.
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Affiliation(s)
- Gordon M. Daly
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom
| | - Richard M. Leggett
- The Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, NR47UH, United Kingdom
| | - William Rowe
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom
| | - Samuel Stubbs
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom
| | - Maxim Wilkinson
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom
| | | | - Mario Caccamo
- The Genome Analysis Centre (TGAC), Norwich Research Park, Norwich, NR47UH, United Kingdom
| | - William Bernal
- Institute of Liver Studies, King's College Hospital, Denmark Hill, London, SE59RS, United Kingdom
| | - Jonathan L. Heeney
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB30ES, United Kingdom
- * E-mail:
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12
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Powell D, Knibb W, Remilton C, Elizur A. De-novo transcriptome analysis of the banana shrimp (Fenneropenaeus merguiensis) and identification of genes associated with reproduction and development. Mar Genomics 2015; 22:71-8. [PMID: 25936497 DOI: 10.1016/j.margen.2015.04.006] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Revised: 04/20/2015] [Accepted: 04/20/2015] [Indexed: 01/07/2023]
Abstract
The banana shrimp Fenneropenaeus merguiensis is a commercially important marine crustacean for world aquaculture and fisheries. Despite this, limited genetic information is available for it and many other penaeid shrimp species. Here we present the first in-depth analysis of the transcriptional content of 8 different tissues from the banana shrimp using RNA-Seq technologies. A total of over 1 million single-end and over 49 million paired-end reads were obtained from Roche 454FLX and illumina sequencing platforms, respectively, resulting in an assembly of 124,631 transcripts with an N50 of 1,332 and mean length of 514 nt. A total of 59,179 putative protein sequences obtained from the assembled transcripts were annotated using public protein sequence databases and assigned 20,430 BLAST hits, 16,866 GO terms and 13,304 KOG categories. Further analysis revealed a rich set of transcript sequences exhibiting homology with genes associated with reproduction, sex determination and development and distinguished the tissues responsible for this expression. This report adds a substantial contribution to the sequence data currently available for F. merguiensis, providing valuable resources for further research.
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Affiliation(s)
- Daniel Powell
- Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.
| | - Wayne Knibb
- Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.
| | | | - Abigail Elizur
- Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.
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Xu X, Liu T, Ren X, Liu B, Yang J, Chen L, Wei C, Zheng J, Dong J, Sun L, Zhu Y, Jin Q. Proteogenomic Analysis of Trichophyton rubrum Aided by RNA Sequencing. J Proteome Res 2015; 14:2207-18. [PMID: 25868943 DOI: 10.1021/acs.jproteome.5b00009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Infections caused by dermatophytes, Trichophyton rubrum in particular, are among the most common diseases in humans. In this study, we present a proteogenomic analysis of T. rubrum based on whole-genome proteomics and RNA-Seq studies. We confirmed 4291 expressed proteins in T. rubrum and validated their annotated gene structures based on 35 874 supporting peptides. In addition, we identified 323 novel peptides (not present in the current annotated protein database of T. rubrum) that can be used to enhance current T. rubrum annotations. A total of 104 predicted genes supported by novel peptides were identified, and 127 gene models suggested by the novel peptides that conflicted with existing annotations were manually assigned based on transcriptomic evidence. RNA-Seq confirmed the validity of 95% of the total peptides. Our study provides evidence that confirms and improves the genome annotation of T. rubrum and represents the first survey of T. rubrum genome annotations based on experimental evidence. Additionally, our integrated proteomics and multisourced transcriptomics approach provides stronger evidence for annotation refinement than proteomic data alone, which helps to address the dilemma of one-hit wonders (uncertainties supported by only one peptide).
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Laumer CE, Hejnol A, Giribet G. Nuclear genomic signals of the 'microturbellarian' roots of platyhelminth evolutionary innovation. eLife 2015; 4:e05503. [PMID: 25764302 PMCID: PMC4398949 DOI: 10.7554/elife.05503] [Citation(s) in RCA: 124] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Accepted: 03/06/2015] [Indexed: 12/25/2022] Open
Abstract
Flatworms number among the most diverse invertebrate phyla and represent the most biomedically significant branch of the major bilaterian clade Spiralia, but to date, deep evolutionary relationships within this group have been studied using only a single locus (the rRNA operon), leaving the origins of many key clades unclear. In this study, using a survey of genomes and transcriptomes representing all free-living flatworm orders, we provide resolution of platyhelminth interrelationships based on hundreds of nuclear protein-coding genes, exploring phylogenetic signal through concatenation as well as recently developed consensus approaches. These analyses robustly support a modern hypothesis of flatworm phylogeny, one which emphasizes the primacy of the often-overlooked 'microturbellarian' groups in understanding the major evolutionary transitions within Platyhelminthes: perhaps most notably, we propose a novel scenario for the interrelationships between free-living and vertebrate-parasitic flatworms, providing new opportunities to shed light on the origins and biological consequences of parasitism in these iconic invertebrates.
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Affiliation(s)
- Christopher E Laumer
- Museum of Comparative Zoology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States
| | - Andreas Hejnol
- Sars International Centre for Marine Molecular Biology, University of Bergen, Bergen, Norway
| | - Gonzalo Giribet
- Museum of Comparative Zoology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States
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Li B, Fillmore N, Bai Y, Collins M, Thomson JA, Stewart R, Dewey CN. Evaluation of de novo transcriptome assemblies from RNA-Seq data. Genome Biol 2014. [PMID: 25608678 DOI: 10.1101/006338] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2023] Open
Abstract
De novo RNA-Seq assembly facilitates the study of transcriptomes for species without sequenced genomes, but it is challenging to select the most accurate assembly in this context. To address this challenge, we developed a model-based score, RSEM-EVAL, for evaluating assemblies when the ground truth is unknown. We show that RSEM-EVAL correctly reflects assembly accuracy, as measured by REF-EVAL, a refined set of ground-truth-based scores that we also developed. Guided by RSEM-EVAL, we assembled the transcriptome of the regenerating axolotl limb; this assembly compares favorably to a previous assembly. A software package implementing our methods, DETONATE, is freely available at http://deweylab.biostat.wisc.edu/detonate.
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Li B, Fillmore N, Bai Y, Collins M, Thomson JA, Stewart R, Dewey CN. Evaluation of de novo transcriptome assemblies from RNA-Seq data. Genome Biol 2014; 15:553. [PMID: 25608678 PMCID: PMC4298084 DOI: 10.1186/s13059-014-0553-5] [Citation(s) in RCA: 174] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2014] [Accepted: 10/30/2014] [Indexed: 01/16/2023] Open
Abstract
De novo RNA-Seq assembly facilitates the study of transcriptomes for species without sequenced genomes, but it is challenging to select the most accurate assembly in this context. To address this challenge, we developed a model-based score, RSEM-EVAL, for evaluating assemblies when the ground truth is unknown. We show that RSEM-EVAL correctly reflects assembly accuracy, as measured by REF-EVAL, a refined set of ground-truth-based scores that we also developed. Guided by RSEM-EVAL, we assembled the transcriptome of the regenerating axolotl limb; this assembly compares favorably to a previous assembly. A software package implementing our methods, DETONATE, is freely available at http://deweylab.biostat.wisc.edu/detonate.
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Marchant A, Mougel F, Almeida C, Jacquin-Joly E, Costa J, Harry M. De novo transcriptome assembly for a non-model species, the blood-sucking bug Triatoma brasiliensis, a vector of Chagas disease. Genetica 2014; 143:225-39. [PMID: 25233990 DOI: 10.1007/s10709-014-9790-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Accepted: 09/01/2014] [Indexed: 11/29/2022]
Abstract
High throughput sequencing (HTS) provides new research opportunities for work on non-model organisms, such as differential expression studies between populations exposed to different environmental conditions. However, such transcriptomic studies first require the production of a reference assembly. The choice of sampling procedure, sequencing strategy and assembly workflow is crucial. To develop a reliable reference transcriptome for Triatoma brasiliensis, the major Chagas disease vector in Northeastern Brazil, different de novo assembly protocols were generated using various datasets and software. Both 454 and Illumina sequencing technologies were applied on RNA extracted from antennae and mouthparts from single or pooled individuals. The 454 library yielded 278 Mb. Fifteen Illumina libraries were constructed and yielded nearly 360 million RNA-seq single reads and 46 million RNA-seq paired-end reads for nearly 45 Gb. For the 454 reads, we used three assemblers, Newbler, CAP3 and/or MIRA and for the Illumina reads, the Trinity assembler. Ten assembly workflows were compared using these programs separately or in combination. To compare the assemblies obtained, quantitative and qualitative criteria were used, including contig length, N50, contig number and the percentage of chimeric contigs. Completeness of the assemblies was estimated using the CEGMA pipeline. The best assembly (57,657 contigs, completeness of 80 %, <1 % chimeric contigs) was a hybrid assembly leading to recommend the use of (1) a single individual with large representation of biological tissues, (2) merging both long reads and short paired-end Illumina reads, (3) several assemblers in order to combine the specific advantages of each.
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Affiliation(s)
- A Marchant
- Laboratoire Evolution, Génomes et Spéciation LEGS, UPR 9034, CNRS, Avenue de la Terrasse, Bâtiment 13, BP1, 91198, Gif-sur-Yvette, France,
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Wang C, Grohme MA, Mali B, Schill RO, Frohme M. Towards decrypting cryptobiosis--analyzing anhydrobiosis in the tardigrade Milnesium tardigradum using transcriptome sequencing. PLoS One 2014; 9:e92663. [PMID: 24651535 PMCID: PMC3961413 DOI: 10.1371/journal.pone.0092663] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2013] [Accepted: 02/25/2014] [Indexed: 11/18/2022] Open
Abstract
Background Many tardigrade species are capable of anhydrobiosis; however, mechanisms underlying their extreme desiccation resistance remain elusive. This study attempts to quantify the anhydrobiotic transcriptome of the limno-terrestrial tardigrade Milnesium tardigradum. Results A prerequisite for differential gene expression analysis was the generation of a reference hybrid transcriptome atlas by assembly of Sanger, 454 and Illumina sequence data. The final assembly yielded 79,064 contigs (>100 bp) after removal of ribosomal RNAs. Around 50% of them could be annotated by SwissProt and NCBI non-redundant protein sequences. Analysis using CEGMA predicted 232 (93.5%) out of the 248 highly conserved eukaryotic genes in the assembly. We used this reference transcriptome for mapping and quantifying the expression of transcripts regulated under anhdydrobiosis in a time-series during dehydration and rehydration. 834 of the transcripts were found to be differentially expressed in a single stage (dehydration/inactive tun/rehydration) and 184 were overlapping in two stages while 74 were differentially expressed in all three stages. We have found interesting patterns of differentially expressed transcripts that are in concordance with a common hypothesis of metabolic shutdown during anhydrobiosis. This included down-regulation of several proteins of the DNA replication and translational machinery and protein degradation. Among others, heat shock proteins Hsp27 and Hsp30c were up-regulated in response to dehydration and rehydration. In addition, we observed up-regulation of ployubiquitin-B upon rehydration together with a higher expression level of several DNA repair proteins during rehydration than in the dehydration stage. Conclusions Most of the transcripts identified to be differentially expressed had distinct cellular function. Our data suggest a concerted molecular adaptation in M. tardigradum that permits extreme forms of ametabolic states such as anhydrobiosis. It is temping to surmise that the desiccation tolerance of tradigrades can be achieved by a constitutive cellular protection system, probably in conjunction with other mechanisms such as rehydration-induced cellular repair.
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Affiliation(s)
- Chong Wang
- Molecular Biotechnology and Functional Genomics, Technical University of Applied Sciences Wildau, Wildau, Germany
- * E-mail:
| | - Markus A. Grohme
- Molecular Biotechnology and Functional Genomics, Technical University of Applied Sciences Wildau, Wildau, Germany
| | - Brahim Mali
- Molecular Biotechnology and Functional Genomics, Technical University of Applied Sciences Wildau, Wildau, Germany
| | - Ralph O. Schill
- Biological Institute, Zoology, University of Stuttgart, Stuttgart, Germany
| | - Marcus Frohme
- Molecular Biotechnology and Functional Genomics, Technical University of Applied Sciences Wildau, Wildau, Germany
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Vázquez-Castellanos JF, García-López R, Pérez-Brocal V, Pignatelli M, Moya A. Comparison of different assembly and annotation tools on analysis of simulated viral metagenomic communities in the gut. BMC Genomics 2014; 15:37. [PMID: 24438450 PMCID: PMC3901335 DOI: 10.1186/1471-2164-15-37] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2013] [Accepted: 01/16/2014] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The main limitations in the analysis of viral metagenomes are perhaps the high genetic variability and the lack of information in extant databases. To address these issues, several bioinformatic tools have been specifically designed or adapted for metagenomics by improving read assembly and creating more sensitive methods for homology detection. This study compares the performance of different available assemblers and taxonomic annotation software using simulated viral-metagenomic data. RESULTS We simulated two 454 viral metagenomes using genomes from NCBI's RefSeq database based on the list of actual viruses found in previously published metagenomes. Three different assembly strategies, spanning six assemblers, were tested for performance: overlap-layout-consensus algorithms Newbler, Celera and Minimo; de Bruijn graphs algorithms Velvet and MetaVelvet; and read probabilistic model Genovo. The performance of the assemblies was measured by the length of resulting contigs (using N50), the percentage of reads assembled and the overall accuracy when comparing against corresponding reference genomes. Additionally, the number of chimeras per contig and the lowest common ancestor were estimated in order to assess the effect of assembling on taxonomic and functional annotation. The functional classification of the reads was evaluated by counting the reads that correctly matched the functional data previously reported for the original genomes and calculating the number of over-represented functional categories in chimeric contigs. The sensitivity and specificity of tBLASTx, PhymmBL and the k-mer frequencies were measured by accurate predictions when comparing simulated reads against the NCBI Virus genomes RefSeq database. CONCLUSIONS Assembling improves functional annotation by increasing accurate assignations and decreasing ambiguous hits between viruses and bacteria. However, the success is limited by the chimeric contigs occurring at all taxonomic levels. The assembler and its parameters should be selected based on the focus of each study. Minimo's non-chimeric contigs and Genovo's long contigs excelled in taxonomy assignation and functional annotation, respectively.tBLASTx stood out as the best approach for taxonomic annotation for virus identification. PhymmBL proved useful in datasets in which no related sequences are present as it uses genomic features that may help identify distant taxa. The k-frequencies underperformed in all viral datasets.
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Affiliation(s)
- Jorge F Vázquez-Castellanos
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valencia (FISABIO)-Salud Pública, Avenida de Cataluña 21, 46020 Valencia, Spain
- Institut Cavanilles de Biodiversitat i Biologia Evolutiva, (ICBiBE) Universitat de València, Apartado Postal 22085, 46071 Valencia, Spain
| | - Rodrigo García-López
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valencia (FISABIO)-Salud Pública, Avenida de Cataluña 21, 46020 Valencia, Spain
- Institut Cavanilles de Biodiversitat i Biologia Evolutiva, (ICBiBE) Universitat de València, Apartado Postal 22085, 46071 Valencia, Spain
| | - Vicente Pérez-Brocal
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valencia (FISABIO)-Salud Pública, Avenida de Cataluña 21, 46020 Valencia, Spain
- Institut Cavanilles de Biodiversitat i Biologia Evolutiva, (ICBiBE) Universitat de València, Apartado Postal 22085, 46071 Valencia, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Miguel Pignatelli
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD UK
| | - Andrés Moya
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valencia (FISABIO)-Salud Pública, Avenida de Cataluña 21, 46020 Valencia, Spain
- Institut Cavanilles de Biodiversitat i Biologia Evolutiva, (ICBiBE) Universitat de València, Apartado Postal 22085, 46071 Valencia, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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A quantitative reference transcriptome for Nematostella vectensis early embryonic development: a pipeline for de novo assembly in emerging model systems. EvoDevo 2013; 4:16. [PMID: 23731568 PMCID: PMC3748831 DOI: 10.1186/2041-9139-4-16] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Accepted: 03/14/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The de novo assembly of transcriptomes from short shotgun sequences raises challenges due to random and non-random sequencing biases and inherent transcript complexity. We sought to define a pipeline for de novo transcriptome assembly to aid researchers working with emerging model systems where well annotated genome assemblies are not available as a reference. To detail this experimental and computational method, we used early embryos of the sea anemone, Nematostella vectensis, an emerging model system for studies of animal body plan evolution. We performed RNA-seq on embryos up to 24 h of development using Illumina HiSeq technology and evaluated independent de novo assembly methods. The resulting reads were assembled using either the Trinity assembler on all quality controlled reads or both the Velvet and Oases assemblers on reads passing a stringent digital normalization filter. A control set of mRNA standards from the National Institute of Standards and Technology (NIST) was included in our experimental pipeline to invest our transcriptome with quantitative information on absolute transcript levels and to provide additional quality control. RESULTS We generated >200 million paired-end reads from directional cDNA libraries representing well over 20 Gb of sequence. The Trinity assembler pipeline, including preliminary quality control steps, resulted in more than 86% of reads aligning with the reference transcriptome thus generated. Nevertheless, digital normalization combined with assembly by Velvet and Oases required far less computing power and decreased processing time while still mapping 82% of reads. We have made the raw sequencing reads and assembled transcriptome publically available. CONCLUSIONS Nematostella vectensis was chosen for its strategic position in the tree of life for studies into the origins of the animal body plan, however, the challenge of reference-free transcriptome assembly is relevant to all systems for which well annotated gene models and independently verified genome assembly may not be available. To navigate this new territory, we have constructed a pipeline for library preparation and computational analysis for de novo transcriptome assembly. The gene models defined by this reference transcriptome define the set of genes transcribed in early Nematostella development and will provide a valuable dataset for further gene regulatory network investigations.
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