Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population

Abstract 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 also...

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Autores principales:	A. López-Malvar, A. Butron, R. A. Malvar, S. J. McQueen-Mason, L. Faas, L. D. Gómez, P. Revilla, D. J. Figueroa-Garrido, R. Santiago
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d024121605b94e24bd0583a6d32419fc
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spelling	oai:doaj.org-article:d024121605b94e24bd0583a6d32419fc2021-12-02T14:11:32ZAssociation mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population10.1038/s41598-021-83107-12045-2322https://doaj.org/article/d024121605b94e24bd0583a6d32419fc2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83107-1https://doaj.org/toc/2045-2322Abstract 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 also to optimize crop breeding strategies in bioenergy grasses. A genome-wide association study (GWAS) was conducted using a subset of 408 Recombinant Inbred Lines (RILs) from a Multi-Parent Advanced Generation Intercross (MAGIC) Population in order to identify single nucleotide polymorphisms (SNPs) associated with yield and saccharification efficiency of maize stover. We identified 13 SNPs significantly associated with increased stover yield that corresponded to 13 QTL, and 2 SNPs significantly associated with improved saccharification efficiency, that could be clustered into 2 QTL. We have pointed out the most interesting SNPs to be implemented in breeding programs based on results from analyses of averaged and yearly data. Association mapping in this MAGIC population highlight genomic regions directly linked to traits that influence the final use of maize. Markers linked to these QTL could be used in genomic or marker-assisted selection programs to improve biomass quality for ethanol production. This study opens a possible optimisation path for improving the viability of second-generation biofuels.A. López-MalvarA. ButronR. A. MalvarS. J. McQueen-MasonL. FaasL. D. GómezP. RevillaD. J. Figueroa-GarridoR. SantiagoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q A. López-Malvar A. Butron R. A. Malvar S. J. McQueen-Mason L. Faas L. D. Gómez P. Revilla D. J. Figueroa-Garrido R. Santiago Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population
description	Abstract 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 also to optimize crop breeding strategies in bioenergy grasses. A genome-wide association study (GWAS) was conducted using a subset of 408 Recombinant Inbred Lines (RILs) from a Multi-Parent Advanced Generation Intercross (MAGIC) Population in order to identify single nucleotide polymorphisms (SNPs) associated with yield and saccharification efficiency of maize stover. We identified 13 SNPs significantly associated with increased stover yield that corresponded to 13 QTL, and 2 SNPs significantly associated with improved saccharification efficiency, that could be clustered into 2 QTL. We have pointed out the most interesting SNPs to be implemented in breeding programs based on results from analyses of averaged and yearly data. Association mapping in this MAGIC population highlight genomic regions directly linked to traits that influence the final use of maize. Markers linked to these QTL could be used in genomic or marker-assisted selection programs to improve biomass quality for ethanol production. This study opens a possible optimisation path for improving the viability of second-generation biofuels.
format	article
author	A. López-Malvar A. Butron R. A. Malvar S. J. McQueen-Mason L. Faas L. D. Gómez P. Revilla D. J. Figueroa-Garrido R. Santiago
author_facet	A. López-Malvar A. Butron R. A. Malvar S. J. McQueen-Mason L. Faas L. D. Gómez P. Revilla D. J. Figueroa-Garrido R. Santiago
author_sort	A. López-Malvar
title	Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population
title_short	Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population
title_full	Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population
title_fullStr	Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population
title_full_unstemmed	Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population
title_sort	association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (magic) population
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d024121605b94e24bd0583a6d32419fc
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Association mapping for maize stover yield and saccharification efficiency using a multiparent advanced generation intercross (MAGIC) population

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