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Comparative transcriptome profiling of upland (VS16) and lowland (AP13) ecotypes of switchgrass

KEY MESSAGE: Transcriptomes of two switchgrass genotypes representing the upland and lowland ecotypes will be key tools in switchgrass genome annotation and biotic and abiotic stress functional genomics. ABSTRACT: Switchgrass (Panicum virgatum L.) is an important bioenergy feedstock for cellulosic e...

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Autores principales: Ayyappan, Vasudevan, Saha, Malay C., Thimmapuram, Jyothi, Sripathi, Venkateswara R., Bhide, Ketaki P., Fiedler, Elizabeth, Hayford, Rita K., Kalavacharla, Venu (Kal)
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206262/
https://www.ncbi.nlm.nih.gov/pubmed/27812750
http://dx.doi.org/10.1007/s00299-016-2065-0
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author Ayyappan, Vasudevan
Saha, Malay C.
Thimmapuram, Jyothi
Sripathi, Venkateswara R.
Bhide, Ketaki P.
Fiedler, Elizabeth
Hayford, Rita K.
Kalavacharla, Venu (Kal)
author_facet Ayyappan, Vasudevan
Saha, Malay C.
Thimmapuram, Jyothi
Sripathi, Venkateswara R.
Bhide, Ketaki P.
Fiedler, Elizabeth
Hayford, Rita K.
Kalavacharla, Venu (Kal)
author_sort Ayyappan, Vasudevan
collection PubMed
description KEY MESSAGE: Transcriptomes of two switchgrass genotypes representing the upland and lowland ecotypes will be key tools in switchgrass genome annotation and biotic and abiotic stress functional genomics. ABSTRACT: Switchgrass (Panicum virgatum L.) is an important bioenergy feedstock for cellulosic ethanol production. We report genome-wide transcriptome profiling of two contrasting tetraploid switchgrass genotypes, VS16 and AP13, representing the upland and lowland ecotypes, respectively. A total of 268 million Illumina short reads (50 nt) were generated, of which, 133 million were obtained in AP13 and the rest 135 million in VS16. More than 90% of these reads were mapped to the switchgrass reference genome (V1.1). We identified 6619 and 5369 differentially expressed genes in VS16 and AP13, respectively. Gene ontology and KEGG pathway analysis identified key genes that regulate important pathways including C4 photosynthesis, photorespiration and phenylpropanoid metabolism. A series of genes (33) involved in photosynthetic pathway were up-regulated in AP13 but only two genes showed higher expression in VS16. We identified three dicarboxylate transporter homologs that were highly expressed in AP13. Additionally, genes that mediate drought, heat, and salinity tolerance were also identified. Vesicular transport proteins, syntaxin and signal recognition particles were seen to be up-regulated in VS16. Analyses of selected genes involved in biosynthesis of secondary metabolites, plant–pathogen interaction, membrane transporters, heat, drought and salinity stress responses confirmed significant variation in the relative expression reflected in RNA-Seq data between VS16 and AP13 genotypes. The phenylpropanoid pathway genes identified here are potential targets for biofuel conversion. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00299-016-2065-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-52062622017-01-18 Comparative transcriptome profiling of upland (VS16) and lowland (AP13) ecotypes of switchgrass Ayyappan, Vasudevan Saha, Malay C. Thimmapuram, Jyothi Sripathi, Venkateswara R. Bhide, Ketaki P. Fiedler, Elizabeth Hayford, Rita K. Kalavacharla, Venu (Kal) Plant Cell Rep Original Article KEY MESSAGE: Transcriptomes of two switchgrass genotypes representing the upland and lowland ecotypes will be key tools in switchgrass genome annotation and biotic and abiotic stress functional genomics. ABSTRACT: Switchgrass (Panicum virgatum L.) is an important bioenergy feedstock for cellulosic ethanol production. We report genome-wide transcriptome profiling of two contrasting tetraploid switchgrass genotypes, VS16 and AP13, representing the upland and lowland ecotypes, respectively. A total of 268 million Illumina short reads (50 nt) were generated, of which, 133 million were obtained in AP13 and the rest 135 million in VS16. More than 90% of these reads were mapped to the switchgrass reference genome (V1.1). We identified 6619 and 5369 differentially expressed genes in VS16 and AP13, respectively. Gene ontology and KEGG pathway analysis identified key genes that regulate important pathways including C4 photosynthesis, photorespiration and phenylpropanoid metabolism. A series of genes (33) involved in photosynthetic pathway were up-regulated in AP13 but only two genes showed higher expression in VS16. We identified three dicarboxylate transporter homologs that were highly expressed in AP13. Additionally, genes that mediate drought, heat, and salinity tolerance were also identified. Vesicular transport proteins, syntaxin and signal recognition particles were seen to be up-regulated in VS16. Analyses of selected genes involved in biosynthesis of secondary metabolites, plant–pathogen interaction, membrane transporters, heat, drought and salinity stress responses confirmed significant variation in the relative expression reflected in RNA-Seq data between VS16 and AP13 genotypes. The phenylpropanoid pathway genes identified here are potential targets for biofuel conversion. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00299-016-2065-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-11-03 2017 /pmc/articles/PMC5206262/ /pubmed/27812750 http://dx.doi.org/10.1007/s00299-016-2065-0 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Ayyappan, Vasudevan
Saha, Malay C.
Thimmapuram, Jyothi
Sripathi, Venkateswara R.
Bhide, Ketaki P.
Fiedler, Elizabeth
Hayford, Rita K.
Kalavacharla, Venu (Kal)
Comparative transcriptome profiling of upland (VS16) and lowland (AP13) ecotypes of switchgrass
title Comparative transcriptome profiling of upland (VS16) and lowland (AP13) ecotypes of switchgrass
title_full Comparative transcriptome profiling of upland (VS16) and lowland (AP13) ecotypes of switchgrass
title_fullStr Comparative transcriptome profiling of upland (VS16) and lowland (AP13) ecotypes of switchgrass
title_full_unstemmed Comparative transcriptome profiling of upland (VS16) and lowland (AP13) ecotypes of switchgrass
title_short Comparative transcriptome profiling of upland (VS16) and lowland (AP13) ecotypes of switchgrass
title_sort comparative transcriptome profiling of upland (vs16) and lowland (ap13) ecotypes of switchgrass
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206262/
https://www.ncbi.nlm.nih.gov/pubmed/27812750
http://dx.doi.org/10.1007/s00299-016-2065-0
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