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Comparative feedstock analysis in Setaria viridis L. as a model for C(4) bioenergy grasses and Panicoid crop species

Second generation feedstocks for bioethanol will likely include a sizable proportion of perennial C4 grasses, principally in the Panicoideae clade. The Panicoideae contain agronomically important annual grasses including Zea mays L. (maize), Sorghum bicolor (L.) Moench (sorghum), and Saccharum offic...

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Detalles Bibliográficos
Autores principales: Petti, Carloalberto, Shearer, Andrew, Tateno, Mizuki, Ruwaya, Matthew, Nokes, Sue, Brutnell, Tom, DeBolt, Seth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3685855/
https://www.ncbi.nlm.nih.gov/pubmed/23802002
http://dx.doi.org/10.3389/fpls.2013.00181
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author Petti, Carloalberto
Shearer, Andrew
Tateno, Mizuki
Ruwaya, Matthew
Nokes, Sue
Brutnell, Tom
DeBolt, Seth
author_facet Petti, Carloalberto
Shearer, Andrew
Tateno, Mizuki
Ruwaya, Matthew
Nokes, Sue
Brutnell, Tom
DeBolt, Seth
author_sort Petti, Carloalberto
collection PubMed
description Second generation feedstocks for bioethanol will likely include a sizable proportion of perennial C4 grasses, principally in the Panicoideae clade. The Panicoideae contain agronomically important annual grasses including Zea mays L. (maize), Sorghum bicolor (L.) Moench (sorghum), and Saccharum officinarum L. (sugar cane) as well as promising second generation perennial feedstocks including Miscanthus×giganteus and Panicum virgatum L. (switchgrass). The underlying complexity of these polyploid grass genomes is a major limitation for their direct manipulation and thus driving a need for rapidly cycling comparative model. Setaria viridis (green millet) is a rapid cycling C4 panicoid grass with a relatively small and sequenced diploid genome and abundant seed production. Stable, transient, and protoplast transformation technologies have also been developed for Setaria viridis making it a potentially excellent model for other C4 bioenergy grasses. Here, the lignocellulosic feedstock composition, cellulose biosynthesis inhibitor response and saccharification dynamics of Setaria viridis are compared with the annual sorghum and maize and the perennial switchgrass bioenergy crops as a baseline study into the applicability for translational research. A genome-wide systematic investigation of the cellulose synthase-A genes was performed identifying eight candidate sequences. Two developmental stages; (a) metabolically active young tissue and (b) metabolically plateaued (mature) material are examined to compare biomass performance metrics.
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spelling pubmed-36858552013-06-25 Comparative feedstock analysis in Setaria viridis L. as a model for C(4) bioenergy grasses and Panicoid crop species Petti, Carloalberto Shearer, Andrew Tateno, Mizuki Ruwaya, Matthew Nokes, Sue Brutnell, Tom DeBolt, Seth Front Plant Sci Plant Science Second generation feedstocks for bioethanol will likely include a sizable proportion of perennial C4 grasses, principally in the Panicoideae clade. The Panicoideae contain agronomically important annual grasses including Zea mays L. (maize), Sorghum bicolor (L.) Moench (sorghum), and Saccharum officinarum L. (sugar cane) as well as promising second generation perennial feedstocks including Miscanthus×giganteus and Panicum virgatum L. (switchgrass). The underlying complexity of these polyploid grass genomes is a major limitation for their direct manipulation and thus driving a need for rapidly cycling comparative model. Setaria viridis (green millet) is a rapid cycling C4 panicoid grass with a relatively small and sequenced diploid genome and abundant seed production. Stable, transient, and protoplast transformation technologies have also been developed for Setaria viridis making it a potentially excellent model for other C4 bioenergy grasses. Here, the lignocellulosic feedstock composition, cellulose biosynthesis inhibitor response and saccharification dynamics of Setaria viridis are compared with the annual sorghum and maize and the perennial switchgrass bioenergy crops as a baseline study into the applicability for translational research. A genome-wide systematic investigation of the cellulose synthase-A genes was performed identifying eight candidate sequences. Two developmental stages; (a) metabolically active young tissue and (b) metabolically plateaued (mature) material are examined to compare biomass performance metrics. Frontiers Media S.A. 2013-06-19 /pmc/articles/PMC3685855/ /pubmed/23802002 http://dx.doi.org/10.3389/fpls.2013.00181 Text en Copyright © Petti, Shearer, Tateno, Ruwaya, Nokes, Brutnell and DeBolt. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Plant Science
Petti, Carloalberto
Shearer, Andrew
Tateno, Mizuki
Ruwaya, Matthew
Nokes, Sue
Brutnell, Tom
DeBolt, Seth
Comparative feedstock analysis in Setaria viridis L. as a model for C(4) bioenergy grasses and Panicoid crop species
title Comparative feedstock analysis in Setaria viridis L. as a model for C(4) bioenergy grasses and Panicoid crop species
title_full Comparative feedstock analysis in Setaria viridis L. as a model for C(4) bioenergy grasses and Panicoid crop species
title_fullStr Comparative feedstock analysis in Setaria viridis L. as a model for C(4) bioenergy grasses and Panicoid crop species
title_full_unstemmed Comparative feedstock analysis in Setaria viridis L. as a model for C(4) bioenergy grasses and Panicoid crop species
title_short Comparative feedstock analysis in Setaria viridis L. as a model for C(4) bioenergy grasses and Panicoid crop species
title_sort comparative feedstock analysis in setaria viridis l. as a model for c(4) bioenergy grasses and panicoid crop species
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3685855/
https://www.ncbi.nlm.nih.gov/pubmed/23802002
http://dx.doi.org/10.3389/fpls.2013.00181
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