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Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency

BACKGROUND: Switchgrass, a warm-season perennial grass studied as a potential dedicated biofuel feedstock, is classified into two main taxa – lowland and upland ecotypes – that differ in morphology and habitat of adaptation. But there is limited information on their inherent molecular variations. RE...

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Autores principales: Serba, Desalegn D., Uppalapati, Srinivasa Rao, Krom, Nick, Mukherjee, Shreyartha, Tang, Yuhong, Mysore, Kirankumar S., Saha, Malay C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5162099/
https://www.ncbi.nlm.nih.gov/pubmed/27986076
http://dx.doi.org/10.1186/s12864-016-3377-8
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author Serba, Desalegn D.
Uppalapati, Srinivasa Rao
Krom, Nick
Mukherjee, Shreyartha
Tang, Yuhong
Mysore, Kirankumar S.
Saha, Malay C.
author_facet Serba, Desalegn D.
Uppalapati, Srinivasa Rao
Krom, Nick
Mukherjee, Shreyartha
Tang, Yuhong
Mysore, Kirankumar S.
Saha, Malay C.
author_sort Serba, Desalegn D.
collection PubMed
description BACKGROUND: Switchgrass, a warm-season perennial grass studied as a potential dedicated biofuel feedstock, is classified into two main taxa – lowland and upland ecotypes – that differ in morphology and habitat of adaptation. But there is limited information on their inherent molecular variations. RESULTS: Transcriptome analysis by RNA-sequencing (RNA-Seq) was conducted for lowland and upland ecotypes to document their gene expression variations. Mapping of transcriptome to the reference genome (Panicum virgatum v1.1) revealed that the lowland and upland ecotypes differ substantially in sets of genes transcribed as well as levels of expression. Differential gene expression analysis exhibited that transcripts related to photosynthesis efficiency and development and photosystem reaction center subunits were upregulated in lowlands compared to upland genotype. On the other hand, catalase isozymes, helix-loop-helix, late embryogenesis abundant group I, photosulfokinases, and S-adenosyl methionine synthase gene transcripts were upregulated in the upland compared to the lowlands. At ≥100x coverage and ≥5% minor allele frequency, a total of 25,894 and 16,979 single nucleotide polymorphism (SNP) markers were discovered for VS16 (upland ecotype) and K5 (lowland ecotype) against the reference genome. The allele combination of the SNPs revealed that the transition mutations are more prevalent than the transversion mutations. CONCLUSIONS: The gene ontology (GO) analysis of the transcriptome indicated lowland ecotype had significantly higher representation for cellular components associated with photosynthesis machinery controlling carbon fixation. In addition, using the transcriptome data, SNP markers were detected, which were distributed throughout the genome. The differentially expressed genes and SNP markers detected in this study would be useful resources for traits mapping and gene transfer across ecotypes in switchgrass breeding for increased biomass yield for biofuel conversion. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3377-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-51620992016-12-23 Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency Serba, Desalegn D. Uppalapati, Srinivasa Rao Krom, Nick Mukherjee, Shreyartha Tang, Yuhong Mysore, Kirankumar S. Saha, Malay C. BMC Genomics Research Article BACKGROUND: Switchgrass, a warm-season perennial grass studied as a potential dedicated biofuel feedstock, is classified into two main taxa – lowland and upland ecotypes – that differ in morphology and habitat of adaptation. But there is limited information on their inherent molecular variations. RESULTS: Transcriptome analysis by RNA-sequencing (RNA-Seq) was conducted for lowland and upland ecotypes to document their gene expression variations. Mapping of transcriptome to the reference genome (Panicum virgatum v1.1) revealed that the lowland and upland ecotypes differ substantially in sets of genes transcribed as well as levels of expression. Differential gene expression analysis exhibited that transcripts related to photosynthesis efficiency and development and photosystem reaction center subunits were upregulated in lowlands compared to upland genotype. On the other hand, catalase isozymes, helix-loop-helix, late embryogenesis abundant group I, photosulfokinases, and S-adenosyl methionine synthase gene transcripts were upregulated in the upland compared to the lowlands. At ≥100x coverage and ≥5% minor allele frequency, a total of 25,894 and 16,979 single nucleotide polymorphism (SNP) markers were discovered for VS16 (upland ecotype) and K5 (lowland ecotype) against the reference genome. The allele combination of the SNPs revealed that the transition mutations are more prevalent than the transversion mutations. CONCLUSIONS: The gene ontology (GO) analysis of the transcriptome indicated lowland ecotype had significantly higher representation for cellular components associated with photosynthesis machinery controlling carbon fixation. In addition, using the transcriptome data, SNP markers were detected, which were distributed throughout the genome. The differentially expressed genes and SNP markers detected in this study would be useful resources for traits mapping and gene transfer across ecotypes in switchgrass breeding for increased biomass yield for biofuel conversion. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3377-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-16 /pmc/articles/PMC5162099/ /pubmed/27986076 http://dx.doi.org/10.1186/s12864-016-3377-8 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Serba, Desalegn D.
Uppalapati, Srinivasa Rao
Krom, Nick
Mukherjee, Shreyartha
Tang, Yuhong
Mysore, Kirankumar S.
Saha, Malay C.
Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
title Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
title_full Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
title_fullStr Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
title_full_unstemmed Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
title_short Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
title_sort transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5162099/
https://www.ncbi.nlm.nih.gov/pubmed/27986076
http://dx.doi.org/10.1186/s12864-016-3377-8
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