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Ana Lopez-Malvar
Universidade de Vigo Facultad de Biologia
Corresponding Author
ORCiD: https://orcid.org/0000-0001-5079-7132
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Background: Cellulosic ethanol derived from fast growing C4 grasses could become an alternative to finite fossil fuels. With the potential to generate a major source of lignocellulosic biomass, maize has gained importance as an outstanding model plant for studying the complex cell wall network, and as a model to optimize crop breeding strategies in bioenergy grasses. A genome-wide association study was conducted using a subset of 408 Recombinant Inbred Lines (RILs) from a Multiparent-Advanced Intercross (MAGIC) Population in order to identify single nucleotide polymorphisms (SNPs) associated with yield and saccharification efficiency of maize stover.
Results: We identified 4 SNPs significantly associated with stover yield that corresponded to 4 QTL, and 16 SNPs significantly associated with saccharification efficiency, that could be clustered into 5 QTL. Markers linked to these QTL could be used in marker-assisted selection programs to improve ethanol production. In addition, we have pointed out genes that contain the significant SNPs or are physically close to them.
Conclusions: Genes involved in nitrogen assimilation, organ growth, and stress tolerance could be good candidates attending to QTLs for stover yield. On the other hand, for saccharification efficiency we highlight genes implicated in biomass degradation, transcriptional control of monolignol biosynthesis, and lignin polymerization as probable candidate genes in the QTLs involved.
Keywords
Association mapping, Zea mays, saccharification, MAGIC, biofuel, lignocellulosic biomass
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research
Ana Lopez-Malvar
Universidade de Vigo Facultad de Biologia
Corresponding Author
ORCiD: https://orcid.org/0000-0001-5079-7132
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 12 Mar, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Biotechnology and Bioengineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Cellulosic ethanol derived from fast growing C4 grasses could become an alternative to finite fossil fuels. With the potential to generate a major source of lignocellulosic biomass, maize has gained importance as an outstanding model plant for studying the complex cell wall network, and as a model to optimize crop breeding strategies in bioenergy grasses. A genome-wide association study was conducted using a subset of 408 Recombinant Inbred Lines (RILs) from a Multiparent-Advanced Intercross (MAGIC) Population in order to identify single nucleotide polymorphisms (SNPs) associated with yield and saccharification efficiency of maize stover.
Results: We identified 4 SNPs significantly associated with stover yield that corresponded to 4 QTL, and 16 SNPs significantly associated with saccharification efficiency, that could be clustered into 5 QTL. Markers linked to these QTL could be used in marker-assisted selection programs to improve ethanol production. In addition, we have pointed out genes that contain the significant SNPs or are physically close to them.
Conclusions: Genes involved in nitrogen assimilation, organ growth, and stress tolerance could be good candidates attending to QTLs for stover yield. On the other hand, for saccharification efficiency we highlight genes implicated in biomass degradation, transcriptional control of monolignol biosynthesis, and lignin polymerization as probable candidate genes in the QTLs involved.
This is a list of supplementary files associated with this preprint. Click to download.
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