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Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology

BACKGROUND: Switchgrass (Panicum virgatum L.) is a C4 perennial grass and widely popular as an important bioenergy crop. To accelerate the pace of developing high yielding switchgrass cultivars adapted to diverse environmental niches, the generation of genomic resources for this plant is necessary....

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Autores principales: Wang, Yixing, Zeng, Xin, Iyer, Niranjani J., Bryant, Douglas W., Mockler, Todd C., Mahalingam, Ramamurthy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315583/
https://www.ncbi.nlm.nih.gov/pubmed/22479570
http://dx.doi.org/10.1371/journal.pone.0034225
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author Wang, Yixing
Zeng, Xin
Iyer, Niranjani J.
Bryant, Douglas W.
Mockler, Todd C.
Mahalingam, Ramamurthy
author_facet Wang, Yixing
Zeng, Xin
Iyer, Niranjani J.
Bryant, Douglas W.
Mockler, Todd C.
Mahalingam, Ramamurthy
author_sort Wang, Yixing
collection PubMed
description BACKGROUND: Switchgrass (Panicum virgatum L.) is a C4 perennial grass and widely popular as an important bioenergy crop. To accelerate the pace of developing high yielding switchgrass cultivars adapted to diverse environmental niches, the generation of genomic resources for this plant is necessary. The large genome size and polyploid nature of switchgrass makes whole genome sequencing a daunting task even with current technologies. Exploring the transcriptional landscape using next generation sequencing technologies provides a viable alternative to whole genome sequencing in switchgrass. PRINCIPAL FINDINGS: Switchgrass cDNA libraries from germinating seedlings, emerging tillers, flowers, and dormant seeds were sequenced using Roche 454 GS-FLX Titanium technology, generating 980,000 reads with an average read length of 367 bp. De novo assembly generated 243,600 contigs with an average length of 535 bp. Using the foxtail millet genome as a reference greatly improved the assembly and annotation of switchgrass ESTs. Comparative analysis of the 454-derived switchgrass EST reads with other sequenced monocots including Brachypodium, sorghum, rice and maize indicated a 70–80% overlap. RPKM analysis demonstrated unique transcriptional signatures of the four tissues analyzed in this study. More than 24,000 ESTs were identified in the dormant seed library. In silico analysis indicated that there are more than 2000 EST-SSRs in this collection. Expression of several orphan ESTs was confirmed by RT-PCR. SIGNIFICANCE: We estimate that about 90% of the switchgrass gene space has been covered in this analysis. This study nearly doubles the amount of EST information for switchgrass currently in the public domain. The celerity and economical nature of second-generation sequencing technologies provide an in-depth view of the gene space of complex genomes like switchgrass. Sequence analysis of closely related members of the NAD(+)-malic enzyme type C4 grasses such as the model system Setaria viridis can serve as a viable proxy for the switchgrass genome.
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spelling pubmed-33155832012-04-04 Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology Wang, Yixing Zeng, Xin Iyer, Niranjani J. Bryant, Douglas W. Mockler, Todd C. Mahalingam, Ramamurthy PLoS One Research Article BACKGROUND: Switchgrass (Panicum virgatum L.) is a C4 perennial grass and widely popular as an important bioenergy crop. To accelerate the pace of developing high yielding switchgrass cultivars adapted to diverse environmental niches, the generation of genomic resources for this plant is necessary. The large genome size and polyploid nature of switchgrass makes whole genome sequencing a daunting task even with current technologies. Exploring the transcriptional landscape using next generation sequencing technologies provides a viable alternative to whole genome sequencing in switchgrass. PRINCIPAL FINDINGS: Switchgrass cDNA libraries from germinating seedlings, emerging tillers, flowers, and dormant seeds were sequenced using Roche 454 GS-FLX Titanium technology, generating 980,000 reads with an average read length of 367 bp. De novo assembly generated 243,600 contigs with an average length of 535 bp. Using the foxtail millet genome as a reference greatly improved the assembly and annotation of switchgrass ESTs. Comparative analysis of the 454-derived switchgrass EST reads with other sequenced monocots including Brachypodium, sorghum, rice and maize indicated a 70–80% overlap. RPKM analysis demonstrated unique transcriptional signatures of the four tissues analyzed in this study. More than 24,000 ESTs were identified in the dormant seed library. In silico analysis indicated that there are more than 2000 EST-SSRs in this collection. Expression of several orphan ESTs was confirmed by RT-PCR. SIGNIFICANCE: We estimate that about 90% of the switchgrass gene space has been covered in this analysis. This study nearly doubles the amount of EST information for switchgrass currently in the public domain. The celerity and economical nature of second-generation sequencing technologies provide an in-depth view of the gene space of complex genomes like switchgrass. Sequence analysis of closely related members of the NAD(+)-malic enzyme type C4 grasses such as the model system Setaria viridis can serve as a viable proxy for the switchgrass genome. Public Library of Science 2012-03-29 /pmc/articles/PMC3315583/ /pubmed/22479570 http://dx.doi.org/10.1371/journal.pone.0034225 Text en Wang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Yixing
Zeng, Xin
Iyer, Niranjani J.
Bryant, Douglas W.
Mockler, Todd C.
Mahalingam, Ramamurthy
Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology
title Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology
title_full Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology
title_fullStr Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology
title_full_unstemmed Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology
title_short Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology
title_sort exploring the switchgrass transcriptome using second-generation sequencing technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315583/
https://www.ncbi.nlm.nih.gov/pubmed/22479570
http://dx.doi.org/10.1371/journal.pone.0034225
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