Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus)
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/39888 |
Resumo: | 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. |
id |
UFLA_bc86ac217fc722ba79d315acdd4d52c4 |
---|---|
oai_identifier_str |
oai:localhost:1/39888 |
network_acronym_str |
UFLA |
network_name_str |
Repositório Institucional da UFLA |
repository_id_str |
|
spelling |
Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus)Gene annotationNapier grassPennisetum purpureumSSR markerTrait-marker associationAnotação de genesGrama NapierMarcador SSRAssociação traço-marcadorBackground 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.Springer Nature2020-04-08T17:23:13Z2020-04-08T17:23:13Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfROCHA, J. R. do A. S. de C. et al. Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus). Plant Biology, Stuttgart, v. 19, p. 1-12, 2019. DOI: https://doi.org/10.1186/s12870-019-2180-5.http://repositorio.ufla.br/jspui/handle/1/39888Plant Biologyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessRocha, João Romero do Amaral Santos de CarvalhoMarçal, Tiago de SouzaSalvador, Felipe VicentinoSilva, Adriel Carlos daCarneiro, Pedro Crescencio SouzaResende, Marcos Deon Vilela deCarneiro, Jailton da CostaAzevedo, Ana Luisa SousaPereira, Jorge FernandoMachado, Juarez Campolinaeng2020-04-08T17:23:13Zoai:localhost:1/39888Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-04-08T17:23:13Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
title |
Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
spellingShingle |
Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) Rocha, João Romero do Amaral Santos de Carvalho Gene annotation Napier grass Pennisetum purpureum SSR marker Trait-marker association Anotação de genes Grama Napier Marcador SSR Associação traço-marcador |
title_short |
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_sort |
Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus) |
author |
Rocha, João Romero do Amaral Santos de Carvalho |
author_facet |
Rocha, João Romero do Amaral Santos de Carvalho Marçal, Tiago de Souza Salvador, Felipe Vicentino Silva, Adriel Carlos da Carneiro, Pedro Crescencio Souza Resende, Marcos Deon Vilela de Carneiro, Jailton da Costa Azevedo, Ana Luisa Sousa Pereira, Jorge Fernando Machado, Juarez Campolina |
author_role |
author |
author2 |
Marçal, Tiago de Souza Salvador, Felipe Vicentino Silva, Adriel Carlos da Carneiro, Pedro Crescencio Souza Resende, Marcos Deon Vilela de Carneiro, Jailton da Costa Azevedo, Ana Luisa Sousa Pereira, Jorge Fernando Machado, Juarez Campolina |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Rocha, João Romero do Amaral Santos de Carvalho Marçal, Tiago de Souza Salvador, Felipe Vicentino Silva, Adriel Carlos da Carneiro, Pedro Crescencio Souza Resende, Marcos Deon Vilela de Carneiro, Jailton da Costa Azevedo, Ana Luisa Sousa Pereira, Jorge Fernando Machado, Juarez Campolina |
dc.subject.por.fl_str_mv |
Gene annotation Napier grass Pennisetum purpureum SSR marker Trait-marker association Anotação de genes Grama Napier Marcador SSR Associação traço-marcador |
topic |
Gene annotation Napier grass Pennisetum purpureum SSR marker Trait-marker association Anotação de genes Grama Napier Marcador SSR Associação traço-marcador |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2020-04-08T17:23:13Z 2020-04-08T17:23:13Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ROCHA, J. R. do A. S. de C. et al. Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus). Plant Biology, Stuttgart, v. 19, p. 1-12, 2019. DOI: https://doi.org/10.1186/s12870-019-2180-5. http://repositorio.ufla.br/jspui/handle/1/39888 |
identifier_str_mv |
ROCHA, J. R. do A. S. de C. et al. Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus). Plant Biology, Stuttgart, v. 19, p. 1-12, 2019. DOI: https://doi.org/10.1186/s12870-019-2180-5. |
url |
http://repositorio.ufla.br/jspui/handle/1/39888 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer Nature |
publisher.none.fl_str_mv |
Springer Nature |
dc.source.none.fl_str_mv |
Plant Biology reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1784550007848828928 |