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Velasco VME, Ferreira A, Zaman S, Noordermeer D, Ensminger I, Wegrzyn JL. A long-read and short-read transcriptomics approach provides the first high-quality reference transcriptome and genome annotation for Pseudotsuga menziesii (Douglas-fir). G3 (BETHESDA, MD.) 2023; 13:jkac304. [PMID: 36454025 PMCID: PMC10468028 DOI: 10.1093/g3journal/jkac304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 12/13/2021] [Accepted: 10/19/2022] [Indexed: 12/02/2022]
Abstract
Douglas-fir (Pseudotsuga menziesii) is native to western North America. It grows in a wide range of environmental conditions and is an important timber tree. Although there are several studies on the gene expression responses of Douglas-fir to abiotic cues, the absence of high-quality transcriptome and genome data is a barrier to further investigation. Like for most conifers, the available transcriptome and genome reference dataset for Douglas-fir remains fragmented and requires refinement. We aimed to generate a highly accurate, and complete reference transcriptome and genome annotation. We deep-sequenced the transcriptome of Douglas-fir needles from seedlings that were grown under nonstress control conditions or a combination of heat and drought stress conditions using long-read (LR) and short-read (SR) sequencing platforms. We used 2 computational approaches, namely de novo and genome-guided LR transcriptome assembly. Using the LR de novo assembly, we identified 1.3X more high-quality transcripts, 1.85X more "complete" genes, and 2.7X more functionally annotated genes compared to the genome-guided assembly approach. We predicted 666 long noncoding RNAs and 12,778 unique protein-coding transcripts including 2,016 putative transcription factors. We leveraged the LR de novo assembled transcriptome with paired-end SR and a published single-end SR transcriptome to generate an improved genome annotation. This was conducted with BRAKER2 and refined based on functional annotation, repetitive content, and transcriptome alignment. This high-quality genome annotation has 51,419 unique gene models derived from 322,631 initial predictions. Overall, our informatics approach provides a new reference Douglas-fir transcriptome assembly and genome annotation with considerably improved completeness and functional annotation.
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Affiliation(s)
| | - Alyssa Ferreira
- Department of Evolution and Ecology, University of
Connecticut, Storrs, CT 06269, USA
| | - Sumaira Zaman
- Department of Evolution and Ecology, University of
Connecticut, Storrs, CT 06269, USA
| | - Devin Noordermeer
- Department of Biology, University of Toronto,
Mississauga, ON L5L 1C8, Canada
- Graduate Department of Cell and Systems Biology, University of
Toronto, Toronto, ON M5S, Canada
| | - Ingo Ensminger
- Department of Biology, University of Toronto,
Mississauga, ON L5L 1C8, Canada
- Graduate Department of Cell and Systems Biology, University of
Toronto, Toronto, ON M5S, Canada
- Graduate Department of Ecology and Evolutionary Biology, University of
Toronto, Toronto, ON M5S, Canada
| | - Jill L Wegrzyn
- Department of Evolution and Ecology, University of
Connecticut, Storrs, CT 06269, USA
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Coulter M, Entizne JC, Guo W, Bayer M, Wonneberger R, Milne L, Schreiber M, Haaning A, Muehlbauer GJ, McCallum N, Fuller J, Simpson C, Stein N, Brown JWS, Waugh R, Zhang R. BaRTv2: a highly resolved barley reference transcriptome for accurate transcript-specific RNA-seq quantification. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 111:1183-1202. [PMID: 35704392 PMCID: PMC9546494 DOI: 10.1111/tpj.15871] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 05/02/2022] [Accepted: 06/09/2022] [Indexed: 06/15/2023]
Abstract
Accurate characterisation of splice junctions (SJs) as well as transcription start and end sites in reference transcriptomes allows precise quantification of transcripts from RNA-seq data, and enables detailed investigations of transcriptional and post-transcriptional regulation. Using novel computational methods and a combination of PacBio Iso-seq and Illumina short-read sequences from 20 diverse tissues and conditions, we generated a comprehensive and highly resolved barley reference transcript dataset from the European 2-row spring barley cultivar Barke (BaRTv2.18). Stringent and thorough filtering was carried out to maintain the quality and accuracy of the SJs and transcript start and end sites. BaRTv2.18 shows increased transcript diversity and completeness compared with an earlier version, BaRTv1.0. The accuracy of transcript level quantification, SJs and transcript start and end sites have been validated extensively using parallel technologies and analysis, including high-resolution reverse transcriptase-polymerase chain reaction and 5'-RACE. BaRTv2.18 contains 39 434 genes and 148 260 transcripts, representing the most comprehensive and resolved reference transcriptome in barley to date. It provides an important and high-quality resource for advanced transcriptomic analyses, including both transcriptional and post-transcriptional regulation, with exceptional resolution and precision.
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Affiliation(s)
- Max Coulter
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Juan Carlos Entizne
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Wenbin Guo
- Information and Computational SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Micha Bayer
- Information and Computational SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Ronja Wonneberger
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstrasse 3D‐06466Stadt SeelandGermany
| | - Linda Milne
- Information and Computational SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Miriam Schreiber
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Allison Haaning
- Department of Agronomy and Plant GeneticsUniversity of Minnesota1991 Upper Buford Circle, 542 Borlaug HallSt PaulMinnesota55108USA
| | - Gary J. Muehlbauer
- Department of Agronomy and Plant GeneticsUniversity of Minnesota1991 Upper Buford Circle, 542 Borlaug HallSt PaulMinnesota55108USA
| | - Nicola McCallum
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - John Fuller
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Craig Simpson
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstrasse 3D‐06466Stadt SeelandGermany
- Center for Integrated Breeding Research (CiBreed)Georg‐August‐UniversityGöttingenGermany
| | - John W. S. Brown
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
| | - Robbie Waugh
- Division of Plant SciencesUniversity of Dundee, James Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
- Cell and Molecular SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
- School of Agriculture and Wine & Waite Research InstituteUniversity of AdelaideWaite CampusGlen OsmondSouth Australia5064Australia
| | - Runxuan Zhang
- Information and Computational SciencesJames Hutton InstituteInvergowrieDundeeDD2 5DAScotlandUK
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Hasan S, Huang L, Liu Q, Perlo V, O’Keeffe A, Margarido GRA, Furtado A, Henry RJ. The Long Read Transcriptome of Rice (Oryza sativa ssp. japonica var. Nipponbare) Reveals Novel Transcripts. RICE (NEW YORK, N.Y.) 2022; 15:29. [PMID: 35689714 PMCID: PMC9188635 DOI: 10.1186/s12284-022-00577-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 05/26/2022] [Indexed: 05/08/2023]
Abstract
BACKGROUND High-throughput next-generation sequencing technologies offer a powerful approach to characterizing the transcriptomes of plants. Long read sequencing has been shown to support the discovery of novel isoforms of transcripts. This approach enables the generation of full-length sequences revealing splice variants that may be important in regulating gene action. Investigation of the diversity of transcripts in the rice transcriptome including splice variants was conducted using PacBio long-read sequence data to improve the annotation of the rice genome. RESULTS A cDNA library was prepared from RNA extracted from leaves, roots, seeds, inflorescences, and panicles of O. sativa ssp. japonica var Nipponbare and sequenced on a PacBio Sequel platform. This produced 346,190 non-redundant full-length non-chimeric reads (FLNC) resulting in 33,504 high-quality transcripts. Half of the transcripts were multi-exonic and entirely matched with the reference transcripts. However, 14,874 novel isoforms were also identified resulting predominantly from intron retention and at least one novel splice site. Intron retention was the prevalent alternative splicing event and exon skipping was the least observed. Of 73,659 splice junctions, 12,755 (17%) represented novel splice junctions with canonical and non-canonical intron boundaries. The complexity of the transcriptome was examined in detail for 19 starch synthesis-related genes, defining 276 spliced isoforms of which 94 splice variants were novel. CONCLUSION The data reveal the great complexity of the rice transcriptome. The novel transcripts provide new insights that may be a key input in future research to improve the annotation of the rice genome.
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Affiliation(s)
- Sharmin Hasan
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072 Australia
- Department of Botany, Jagannath University, Dhaka, 1100 Bangladesh
| | - Lichun Huang
- College of Agriculture, Yangzhou University, Jiangsu, 225009 China
| | - Qiaoquan Liu
- College of Agriculture, Yangzhou University, Jiangsu, 225009 China
| | - Virginie Perlo
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072 Australia
| | - Angela O’Keeffe
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072 Australia
| | - Gabriel Rodrigues Alves Margarido
- Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo 13418-900 Brazil
| | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072 Australia
| | - Robert J. Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072 Australia
- ARC Centre of Excellence for Plant Success in Nature and Agriculture, University of Queensland, Brisbane, 4072 Australia
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Carneiro CM, Noble JD, Pietras A, Moler P, Austin JD. Iso-seq analysis and functional annotation of the Santa Fe cave crayfish (Procambarus erythrops) transcriptome. Mar Genomics 2021; 58:100842. [PMID: 34217485 DOI: 10.1016/j.margen.2021.100842] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 01/08/2021] [Accepted: 01/09/2021] [Indexed: 10/22/2022]
Abstract
The genus Procambarus represents a diverse genus of freshwater crayfish that includes epigean species, stygobitic species, and at least one parthenogenic species. Despite its evolutionary, ecological, and economic importance, most genomic and transcriptomic resources for this genus are limited to a couple of model species. We sequenced the transcriptome of a non-model species, P. erythrops, a geographically restricted stygobitic species from Florida. RNA isolated from gill, muscle and eye tissue was pooled to create a de novo transcriptome assembly using Single Molecule Real-Time sequencing (PacBio), resulting in 19,442 full-length isoforms. The assembly has been deposited in the NCBI (BioProject PRJNA657230). These data will make an important contribution to the comparative study of transcriptome evolution in crayfish and crustaceans.
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Affiliation(s)
- Celine M Carneiro
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, United States of America; School of Natural Resources and Environment, University of Florida, Gainesville, FL 32611, United States of America
| | - Jerald D Noble
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, FL 32611, United States of America
| | - Adele Pietras
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, United States of America
| | - Paul Moler
- Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Insituute, 1105 SW Williston Road, Gainesville FL32601, United States of America
| | - James D Austin
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611, United States of America; School of Natural Resources and Environment, University of Florida, Gainesville, FL 32611, United States of America.
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