Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/107643 https://doi.org/10.3389/fpls.2018.00074 |
Resumo: | Sugar beet (Beta vulgaris L. ssp. vulgaris) is one of the most important European crops for both food and sugar production. Crop improvement has been developed to enhance productivity, sugar content or other breeder's desirable traits. The introgression of traits from Crop Wild Relatives (CWR) has been done essentially for lessening biotic stresses constraints, namely using Beta and Patellifolia species which exhibit disease resistance characteristics. Several studies have addressed crop-to-wild gene flow, yet, for breeding programs genetic variability associated with agronomically important traits remains unexplored regarding abiotic factors. To accomplish such association from phenotype-to-genotype, screening for wild relatives occurring in habitats where selective pressures are in play (i.e., populations in salt marshes for salinity tolerance; populations subjected to pathogen attacks and likely evolved resistance to pathogens) are the most appropriate streamline to identify causal genetic information. By selecting sugar beet CWR species based on genomic tools, rather than random variations, is a promising but still seldom explored route toward the development of improved crops. In this perspective, a viable streamline for sugar beet improvement is proposed through the use of different genomic tools by recurring to sugar beet CWRs and focusing on agronomic traits associated with abiotic stress tolerance. Overall, identification of genomic and epigenomic landscapes associated to adaptive ecotypes, along with the cytogenetic and habitat characterization of sugar beet CWR, will enable to identify potential hotspots for agrobiodiversity of sugar beet crop improvement toward abiotic stress tolerance. |
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Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild RelativesBetaPatellifoliacrop wild relativescrop breeding poolnext-generation sequencingSugar beet (Beta vulgaris L. ssp. vulgaris) is one of the most important European crops for both food and sugar production. Crop improvement has been developed to enhance productivity, sugar content or other breeder's desirable traits. The introgression of traits from Crop Wild Relatives (CWR) has been done essentially for lessening biotic stresses constraints, namely using Beta and Patellifolia species which exhibit disease resistance characteristics. Several studies have addressed crop-to-wild gene flow, yet, for breeding programs genetic variability associated with agronomically important traits remains unexplored regarding abiotic factors. To accomplish such association from phenotype-to-genotype, screening for wild relatives occurring in habitats where selective pressures are in play (i.e., populations in salt marshes for salinity tolerance; populations subjected to pathogen attacks and likely evolved resistance to pathogens) are the most appropriate streamline to identify causal genetic information. By selecting sugar beet CWR species based on genomic tools, rather than random variations, is a promising but still seldom explored route toward the development of improved crops. In this perspective, a viable streamline for sugar beet improvement is proposed through the use of different genomic tools by recurring to sugar beet CWRs and focusing on agronomic traits associated with abiotic stress tolerance. Overall, identification of genomic and epigenomic landscapes associated to adaptive ecotypes, along with the cytogenetic and habitat characterization of sugar beet CWR, will enable to identify potential hotspots for agrobiodiversity of sugar beet crop improvement toward abiotic stress tolerance.Frontiers Media S.A.2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/107643http://hdl.handle.net/10316/107643https://doi.org/10.3389/fpls.2018.00074eng1664-462XMonteiro, FilipaFrese, LotharCastro, SilviaDuarte, Maria C.Paulo, Octávio S.Loureiro, JoãoRomeiras, Maria M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-25T12:12:04Zoai:estudogeral.uc.pt:10316/107643Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:23:58.412261Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives |
title |
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives |
spellingShingle |
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives Monteiro, Filipa Beta Patellifolia crop wild relatives crop breeding pool next-generation sequencing |
title_short |
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives |
title_full |
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives |
title_fullStr |
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives |
title_full_unstemmed |
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives |
title_sort |
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives |
author |
Monteiro, Filipa |
author_facet |
Monteiro, Filipa Frese, Lothar Castro, Silvia Duarte, Maria C. Paulo, Octávio S. Loureiro, João Romeiras, Maria M. |
author_role |
author |
author2 |
Frese, Lothar Castro, Silvia Duarte, Maria C. Paulo, Octávio S. Loureiro, João Romeiras, Maria M. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Monteiro, Filipa Frese, Lothar Castro, Silvia Duarte, Maria C. Paulo, Octávio S. Loureiro, João Romeiras, Maria M. |
dc.subject.por.fl_str_mv |
Beta Patellifolia crop wild relatives crop breeding pool next-generation sequencing |
topic |
Beta Patellifolia crop wild relatives crop breeding pool next-generation sequencing |
description |
Sugar beet (Beta vulgaris L. ssp. vulgaris) is one of the most important European crops for both food and sugar production. Crop improvement has been developed to enhance productivity, sugar content or other breeder's desirable traits. The introgression of traits from Crop Wild Relatives (CWR) has been done essentially for lessening biotic stresses constraints, namely using Beta and Patellifolia species which exhibit disease resistance characteristics. Several studies have addressed crop-to-wild gene flow, yet, for breeding programs genetic variability associated with agronomically important traits remains unexplored regarding abiotic factors. To accomplish such association from phenotype-to-genotype, screening for wild relatives occurring in habitats where selective pressures are in play (i.e., populations in salt marshes for salinity tolerance; populations subjected to pathogen attacks and likely evolved resistance to pathogens) are the most appropriate streamline to identify causal genetic information. By selecting sugar beet CWR species based on genomic tools, rather than random variations, is a promising but still seldom explored route toward the development of improved crops. In this perspective, a viable streamline for sugar beet improvement is proposed through the use of different genomic tools by recurring to sugar beet CWRs and focusing on agronomic traits associated with abiotic stress tolerance. Overall, identification of genomic and epigenomic landscapes associated to adaptive ecotypes, along with the cytogenetic and habitat characterization of sugar beet CWR, will enable to identify potential hotspots for agrobiodiversity of sugar beet crop improvement toward abiotic stress tolerance. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 |
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 |
http://hdl.handle.net/10316/107643 http://hdl.handle.net/10316/107643 https://doi.org/10.3389/fpls.2018.00074 |
url |
http://hdl.handle.net/10316/107643 https://doi.org/10.3389/fpls.2018.00074 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1664-462X |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Frontiers Media S.A. |
publisher.none.fl_str_mv |
Frontiers Media S.A. |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134125785874432 |