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Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw
BACKGROUND: The conversion of lignocellulosic biomass from agricultural waste into biofuels and chemicals is considered a promising way to provide sustainable low carbon products without compromising food security. However, the use of lignocellulosic biomass for biofuel and chemical production is li...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545568/ https://www.ncbi.nlm.nih.gov/pubmed/33062051 http://dx.doi.org/10.1186/s13068-020-01807-8 |
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author | Nguyen, Duong T. Gomez, Leonardo D. Harper, Andrea Halpin, Claire Waugh, Robbie Simister, Rachael Whitehead, Caragh Oakey, Helena Nguyen, Huong T. Nguyen, Tuat V. Duong, Tu X. McQueen-Mason, Simon J. |
author_facet | Nguyen, Duong T. Gomez, Leonardo D. Harper, Andrea Halpin, Claire Waugh, Robbie Simister, Rachael Whitehead, Caragh Oakey, Helena Nguyen, Huong T. Nguyen, Tuat V. Duong, Tu X. McQueen-Mason, Simon J. |
author_sort | Nguyen, Duong T. |
collection | PubMed |
description | BACKGROUND: The conversion of lignocellulosic biomass from agricultural waste into biofuels and chemicals is considered a promising way to provide sustainable low carbon products without compromising food security. However, the use of lignocellulosic biomass for biofuel and chemical production is limited by the cost-effectiveness of the production process due to its recalcitrance to enzymatic hydrolysis and fermentable sugar release (i.e., saccharification). Rice straw is a particularly attractive feedstock because millions of tons are currently burned in the field each year for disposal. The aim of this study was to explore the underlying natural genetic variation that impacts the recalcitrance of rice (Oryza sativa) straw to enzymatic saccharification. Ultimately, we wanted to investigate whether we could identify genetic markers that could be used in rice breeding to improve commercial cultivars for this trait. Here, we describe the development and characterization of a Vietnamese rice genome-wide association panel, high-throughput analysis of rice straw saccharification and lignin content, and the results from preliminary genome-wide association studies (GWAS) of the combined data sets. We identify both QTL and plausible candidate genes that may have an impact on the saccharification of rice straw. RESULTS: We assembled a diversity panel comprising 151 rice genotypes (Indica and Japonica types) from commercial, historical elite cultivars, and traditional landraces grown in Vietnam. The diversity panel was genotyped using genotype by sequencing (GBS) methods yielding a total of 328,915 single nucleotide polymorphisms (SNPs). We collected phenotypic data from stems of these 151 genotypes for biomass saccharification and lignin content. Using GWAS on the indica genotypes over 2 years we identified ten significant QTL for saccharification (digestibility) and seven significant QTL for lignin. One QTL on chromosome 11 occurred in both GWAS for digestibility and for lignin. Seven QTL for digestibility, on CH2, CH6, CH7, CH8, and CH11, were observed in both years of the study. The QTL regions for saccharification include three potential candidate genes that have been previously reported to influence digestibility: OsAT10; OsIRX9; and OsMYB58/63-L. CONCLUSIONS: Despite the difficulties associated with multi-phasic analysis of complex traits in novel germplasm, a moderate resolution GWAS successfully identified genetic associations encompassing both known and/or novel genes involved in determining the saccharification potential and lignin content of rice straw. Plausible candidates within QTL regions, in particular those with roles in cell wall biosynthesis, were identified but will require validation to confirm their value for application in rice breeding. |
format | Online Article Text |
id | pubmed-7545568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75455682020-10-13 Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw Nguyen, Duong T. Gomez, Leonardo D. Harper, Andrea Halpin, Claire Waugh, Robbie Simister, Rachael Whitehead, Caragh Oakey, Helena Nguyen, Huong T. Nguyen, Tuat V. Duong, Tu X. McQueen-Mason, Simon J. Biotechnol Biofuels Research BACKGROUND: The conversion of lignocellulosic biomass from agricultural waste into biofuels and chemicals is considered a promising way to provide sustainable low carbon products without compromising food security. However, the use of lignocellulosic biomass for biofuel and chemical production is limited by the cost-effectiveness of the production process due to its recalcitrance to enzymatic hydrolysis and fermentable sugar release (i.e., saccharification). Rice straw is a particularly attractive feedstock because millions of tons are currently burned in the field each year for disposal. The aim of this study was to explore the underlying natural genetic variation that impacts the recalcitrance of rice (Oryza sativa) straw to enzymatic saccharification. Ultimately, we wanted to investigate whether we could identify genetic markers that could be used in rice breeding to improve commercial cultivars for this trait. Here, we describe the development and characterization of a Vietnamese rice genome-wide association panel, high-throughput analysis of rice straw saccharification and lignin content, and the results from preliminary genome-wide association studies (GWAS) of the combined data sets. We identify both QTL and plausible candidate genes that may have an impact on the saccharification of rice straw. RESULTS: We assembled a diversity panel comprising 151 rice genotypes (Indica and Japonica types) from commercial, historical elite cultivars, and traditional landraces grown in Vietnam. The diversity panel was genotyped using genotype by sequencing (GBS) methods yielding a total of 328,915 single nucleotide polymorphisms (SNPs). We collected phenotypic data from stems of these 151 genotypes for biomass saccharification and lignin content. Using GWAS on the indica genotypes over 2 years we identified ten significant QTL for saccharification (digestibility) and seven significant QTL for lignin. One QTL on chromosome 11 occurred in both GWAS for digestibility and for lignin. Seven QTL for digestibility, on CH2, CH6, CH7, CH8, and CH11, were observed in both years of the study. The QTL regions for saccharification include three potential candidate genes that have been previously reported to influence digestibility: OsAT10; OsIRX9; and OsMYB58/63-L. CONCLUSIONS: Despite the difficulties associated with multi-phasic analysis of complex traits in novel germplasm, a moderate resolution GWAS successfully identified genetic associations encompassing both known and/or novel genes involved in determining the saccharification potential and lignin content of rice straw. Plausible candidates within QTL regions, in particular those with roles in cell wall biosynthesis, were identified but will require validation to confirm their value for application in rice breeding. BioMed Central 2020-10-08 /pmc/articles/PMC7545568/ /pubmed/33062051 http://dx.doi.org/10.1186/s13068-020-01807-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Nguyen, Duong T. Gomez, Leonardo D. Harper, Andrea Halpin, Claire Waugh, Robbie Simister, Rachael Whitehead, Caragh Oakey, Helena Nguyen, Huong T. Nguyen, Tuat V. Duong, Tu X. McQueen-Mason, Simon J. Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw |
title | Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw |
title_full | Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw |
title_fullStr | Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw |
title_full_unstemmed | Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw |
title_short | Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw |
title_sort | association mapping identifies quantitative trait loci (qtl) for digestibility in rice straw |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545568/ https://www.ncbi.nlm.nih.gov/pubmed/33062051 http://dx.doi.org/10.1186/s13068-020-01807-8 |
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