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Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus)
BACKGROUND: Elephant grass [Cenchrus purpureus (Schumach.) Morrone] is used for bioenergy and animal feed. In order to identify candidate genes that could be exploited for marker-assisted selection in elephant grass, this study aimed to investigate changes in predictive accuracy using genomic relati...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905061/ https://www.ncbi.nlm.nih.gov/pubmed/31822283 http://dx.doi.org/10.1186/s12870-019-2180-5 |
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author | Rocha, João Romero do Amaral Santos de Carvalho Marçal, Tiago de Souza Salvador, Felipe Vicentino da Silva, Adriel Carlos Carneiro, Pedro Crescencio Souza de Resende, Marcos Deon Vilela Carneiro, Jailton da Costa Azevedo, Ana Luisa Sousa Pereira, Jorge Fernando Machado, Juarez Campolina |
author_facet | Rocha, João Romero do Amaral Santos de Carvalho Marçal, Tiago de Souza Salvador, Felipe Vicentino da Silva, Adriel Carlos Carneiro, Pedro Crescencio Souza de Resende, Marcos Deon Vilela Carneiro, Jailton da Costa Azevedo, Ana Luisa Sousa Pereira, Jorge Fernando Machado, Juarez Campolina |
author_sort | Rocha, João Romero do Amaral Santos de Carvalho |
collection | PubMed |
description | BACKGROUND: Elephant grass [Cenchrus purpureus (Schumach.) Morrone] is used for bioenergy and animal feed. In order to identify candidate genes that could be exploited for marker-assisted selection in elephant grass, this study aimed to investigate changes in predictive accuracy using genomic relationship information and simple sequence repeats for eight traits (height, green biomass, dry biomass, acid and neutral detergent fiber, lignin content, biomass digestibility, and dry matter concentration) linked to bioenergetics and animal feeding. RESULTS: We used single-step, genome-based best linear unbiased prediction and genome association methods to investigate changes in predictive accuracy and find candidate genes using genomic relationship information. Genetic variability (p < 0.05) was detected for most of the traits evaluated. In general, the overall means for the traits varied widely over the cuttings, which was corroborated by a significant genotype by cutting interaction. Knowing the genomic relationships increased the predictive accuracy of the biomass quality traits. We found that one marker (M28_161) was significantly associated with high values of biomass digestibility. The marker had moderate linkage disequilibrium with another marker (M35_202) that, in general, was detected in genotypes with low values of biomass digestibility. In silico analysis revealed that both markers have orthologous regions in other C4 grasses such as Setaria viridis, Panicum hallii, and Panicum virgatum, and these regions are located close to candidate genes involved in the biosynthesis of cell wall molecules (xyloglucan and lignin), which support their association with biomass digestibility. CONCLUSIONS: The markers and candidate genes identified here are useful for breeding programs aimed at changing biomass digestibility in elephant grass. These markers can be used in marker-assisted selection to grow elephant grass cultivars for different uses, e.g., bioenergy production, bio-based products, co-products, bioactive compounds, and animal feed. |
format | Online Article Text |
id | pubmed-6905061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69050612019-12-19 Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) Rocha, João Romero do Amaral Santos de Carvalho Marçal, Tiago de Souza Salvador, Felipe Vicentino da Silva, Adriel Carlos Carneiro, Pedro Crescencio Souza de Resende, Marcos Deon Vilela Carneiro, Jailton da Costa Azevedo, Ana Luisa Sousa Pereira, Jorge Fernando Machado, Juarez Campolina BMC Plant Biol Research Article BACKGROUND: Elephant grass [Cenchrus purpureus (Schumach.) Morrone] is used for bioenergy and animal feed. In order to identify candidate genes that could be exploited for marker-assisted selection in elephant grass, this study aimed to investigate changes in predictive accuracy using genomic relationship information and simple sequence repeats for eight traits (height, green biomass, dry biomass, acid and neutral detergent fiber, lignin content, biomass digestibility, and dry matter concentration) linked to bioenergetics and animal feeding. RESULTS: We used single-step, genome-based best linear unbiased prediction and genome association methods to investigate changes in predictive accuracy and find candidate genes using genomic relationship information. Genetic variability (p < 0.05) was detected for most of the traits evaluated. In general, the overall means for the traits varied widely over the cuttings, which was corroborated by a significant genotype by cutting interaction. Knowing the genomic relationships increased the predictive accuracy of the biomass quality traits. We found that one marker (M28_161) was significantly associated with high values of biomass digestibility. The marker had moderate linkage disequilibrium with another marker (M35_202) that, in general, was detected in genotypes with low values of biomass digestibility. In silico analysis revealed that both markers have orthologous regions in other C4 grasses such as Setaria viridis, Panicum hallii, and Panicum virgatum, and these regions are located close to candidate genes involved in the biosynthesis of cell wall molecules (xyloglucan and lignin), which support their association with biomass digestibility. CONCLUSIONS: The markers and candidate genes identified here are useful for breeding programs aimed at changing biomass digestibility in elephant grass. These markers can be used in marker-assisted selection to grow elephant grass cultivars for different uses, e.g., bioenergy production, bio-based products, co-products, bioactive compounds, and animal feed. BioMed Central 2019-12-10 /pmc/articles/PMC6905061/ /pubmed/31822283 http://dx.doi.org/10.1186/s12870-019-2180-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Rocha, João Romero do Amaral Santos de Carvalho Marçal, Tiago de Souza Salvador, Felipe Vicentino da Silva, Adriel Carlos Carneiro, Pedro Crescencio Souza de Resende, Marcos Deon Vilela Carneiro, Jailton da Costa Azevedo, Ana Luisa Sousa Pereira, Jorge Fernando Machado, Juarez Campolina Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
title | Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
title_full | Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
title_fullStr | Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
title_full_unstemmed | Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
title_short | Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
title_sort | unraveling candidate genes underlying biomass digestibility in elephant grass (cenchrus purpureus) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905061/ https://www.ncbi.nlm.nih.gov/pubmed/31822283 http://dx.doi.org/10.1186/s12870-019-2180-5 |
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