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Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS

BACKGROUND: Rapid reductions in emissions from fossil fuel burning are needed to curb global climate change. Biofuel production from crop residues can contribute to reducing the energy crisis and environmental deterioration. Wheat is a renewable source for biofuels owing to the low cost and high ava...

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Autores principales: Esposito, Salvatore, Taranto, Francesca, Vitale, Paolo, Ficco, Donatella Bianca Maria, Colecchia, Salvatore Antonio, Stevanato, Piergiorgio, De Vita, Pasquale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641881/
https://www.ncbi.nlm.nih.gov/pubmed/36344939
http://dx.doi.org/10.1186/s12870-022-03900-6
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author Esposito, Salvatore
Taranto, Francesca
Vitale, Paolo
Ficco, Donatella Bianca Maria
Colecchia, Salvatore Antonio
Stevanato, Piergiorgio
De Vita, Pasquale
author_facet Esposito, Salvatore
Taranto, Francesca
Vitale, Paolo
Ficco, Donatella Bianca Maria
Colecchia, Salvatore Antonio
Stevanato, Piergiorgio
De Vita, Pasquale
author_sort Esposito, Salvatore
collection PubMed
description BACKGROUND: Rapid reductions in emissions from fossil fuel burning are needed to curb global climate change. Biofuel production from crop residues can contribute to reducing the energy crisis and environmental deterioration. Wheat is a renewable source for biofuels owing to the low cost and high availability of its residues. Thus, identifying candidate genes controlling these traits is pivotal for efficient biofuel production. Here, six multi-locus genome-wide association (ML-GWAS) models were applied using 185 tetraploid wheat accessions to detect quantitative trait nucleotides (QTNs) for fifteen traits associated with biomass composition. RESULTS: Among the 470 QTNs, only 72 identified by at least two models were considered as reliable. Among these latter, 16 also showed a significant effect on the corresponding trait (p.value < 0.05). Candidate genes survey carried out within 4 Mb flanking the QTNs, revealed putative biological functions associated with lipid transfer and metabolism, cell wall modifications, cell cycle, and photosynthesis. Four genes encoded as Cellulose Synthase (CeSa), Anaphase promoting complex (APC/C), Glucoronoxylan 4-O Methyltransferase (GXM) and HYPONASTIC LEAVES1 (HYL1) might be responsible for an increase in cellulose, and natural and acid detergent fiber (NDF and ADF) content in tetraploid wheat. In addition, the SNP marker RFL_Contig3228_2154 associated with the variation in stem solidness (Q.Scsb-3B) was validated through two molecular methods (High resolution melting; HRM and RNase H(2)-dependent PCR; rhAMP). CONCLUSIONS: The study provides new insights into the genetic basis of biomass composition traits on tetraploid wheat. The application of six ML-GWAS models on a panel of diverse wheat genotypes represents an efficient approach to dissect complex traits with low heritability such as wheat straw composition. The discovery of genes/genomic regions associated with biomass production and straw quality parameters is expected to accelerate the development of high-yielding wheat varieties useful for biofuel production. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-03900-6.
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spelling pubmed-96418812022-11-15 Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS Esposito, Salvatore Taranto, Francesca Vitale, Paolo Ficco, Donatella Bianca Maria Colecchia, Salvatore Antonio Stevanato, Piergiorgio De Vita, Pasquale BMC Plant Biol Research Article BACKGROUND: Rapid reductions in emissions from fossil fuel burning are needed to curb global climate change. Biofuel production from crop residues can contribute to reducing the energy crisis and environmental deterioration. Wheat is a renewable source for biofuels owing to the low cost and high availability of its residues. Thus, identifying candidate genes controlling these traits is pivotal for efficient biofuel production. Here, six multi-locus genome-wide association (ML-GWAS) models were applied using 185 tetraploid wheat accessions to detect quantitative trait nucleotides (QTNs) for fifteen traits associated with biomass composition. RESULTS: Among the 470 QTNs, only 72 identified by at least two models were considered as reliable. Among these latter, 16 also showed a significant effect on the corresponding trait (p.value < 0.05). Candidate genes survey carried out within 4 Mb flanking the QTNs, revealed putative biological functions associated with lipid transfer and metabolism, cell wall modifications, cell cycle, and photosynthesis. Four genes encoded as Cellulose Synthase (CeSa), Anaphase promoting complex (APC/C), Glucoronoxylan 4-O Methyltransferase (GXM) and HYPONASTIC LEAVES1 (HYL1) might be responsible for an increase in cellulose, and natural and acid detergent fiber (NDF and ADF) content in tetraploid wheat. In addition, the SNP marker RFL_Contig3228_2154 associated with the variation in stem solidness (Q.Scsb-3B) was validated through two molecular methods (High resolution melting; HRM and RNase H(2)-dependent PCR; rhAMP). CONCLUSIONS: The study provides new insights into the genetic basis of biomass composition traits on tetraploid wheat. The application of six ML-GWAS models on a panel of diverse wheat genotypes represents an efficient approach to dissect complex traits with low heritability such as wheat straw composition. The discovery of genes/genomic regions associated with biomass production and straw quality parameters is expected to accelerate the development of high-yielding wheat varieties useful for biofuel production. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-03900-6. BioMed Central 2022-11-08 /pmc/articles/PMC9641881/ /pubmed/36344939 http://dx.doi.org/10.1186/s12870-022-03900-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Article
Esposito, Salvatore
Taranto, Francesca
Vitale, Paolo
Ficco, Donatella Bianca Maria
Colecchia, Salvatore Antonio
Stevanato, Piergiorgio
De Vita, Pasquale
Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
title Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
title_full Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
title_fullStr Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
title_full_unstemmed Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
title_short Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS
title_sort unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus gwas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641881/
https://www.ncbi.nlm.nih.gov/pubmed/36344939
http://dx.doi.org/10.1186/s12870-022-03900-6
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