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Genetic and genomic resources for Rubus breeding: a roadmap for the future
Rubus fruits are high-value crops that are sought after by consumers for their flavor, visual appeal, and health benefits. To meet this demand, production of red and black raspberries (R. idaeus L. and R. occidentalis L.), blackberries (R. subgenus Rubus), and hybrids, such as Boysenberry and marion...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804857/ https://www.ncbi.nlm.nih.gov/pubmed/31645970 http://dx.doi.org/10.1038/s41438-019-0199-2 |
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author | Foster, Toshi M. Bassil, Nahla V. Dossett, Michael Leigh Worthington, Margaret Graham, Julie |
author_facet | Foster, Toshi M. Bassil, Nahla V. Dossett, Michael Leigh Worthington, Margaret Graham, Julie |
author_sort | Foster, Toshi M. |
collection | PubMed |
description | Rubus fruits are high-value crops that are sought after by consumers for their flavor, visual appeal, and health benefits. To meet this demand, production of red and black raspberries (R. idaeus L. and R. occidentalis L.), blackberries (R. subgenus Rubus), and hybrids, such as Boysenberry and marionberry, is growing worldwide. Rubus breeding programmes are continually striving to improve flavor, texture, machine harvestability, and yield, provide pest and disease resistance, improve storage and processing properties, and optimize fruits and plants for different production and harvest systems. Breeders face numerous challenges, such as polyploidy, the lack of genetic diversity in many of the elite cultivars, and until recently, the relative shortage of genetic and genomic resources available for Rubus. This review will highlight the development of continually improving genetic maps, the identification of Quantitative Trait Loci (QTL)s controlling key traits, draft genomes for red and black raspberry, and efforts to improve gene models. The development of genetic maps and markers, the molecular characterization of wild species and germplasm, and high-throughput genotyping platforms will expedite breeding of improved cultivars. Fully sequenced genomes and accurate gene models facilitate identification of genes underlying traits of interest and enable gene editing technologies such as CRISPR/Cas9. |
format | Online Article Text |
id | pubmed-6804857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68048572019-10-23 Genetic and genomic resources for Rubus breeding: a roadmap for the future Foster, Toshi M. Bassil, Nahla V. Dossett, Michael Leigh Worthington, Margaret Graham, Julie Hortic Res Review Article Rubus fruits are high-value crops that are sought after by consumers for their flavor, visual appeal, and health benefits. To meet this demand, production of red and black raspberries (R. idaeus L. and R. occidentalis L.), blackberries (R. subgenus Rubus), and hybrids, such as Boysenberry and marionberry, is growing worldwide. Rubus breeding programmes are continually striving to improve flavor, texture, machine harvestability, and yield, provide pest and disease resistance, improve storage and processing properties, and optimize fruits and plants for different production and harvest systems. Breeders face numerous challenges, such as polyploidy, the lack of genetic diversity in many of the elite cultivars, and until recently, the relative shortage of genetic and genomic resources available for Rubus. This review will highlight the development of continually improving genetic maps, the identification of Quantitative Trait Loci (QTL)s controlling key traits, draft genomes for red and black raspberry, and efforts to improve gene models. The development of genetic maps and markers, the molecular characterization of wild species and germplasm, and high-throughput genotyping platforms will expedite breeding of improved cultivars. Fully sequenced genomes and accurate gene models facilitate identification of genes underlying traits of interest and enable gene editing technologies such as CRISPR/Cas9. Nature Publishing Group UK 2019-10-15 /pmc/articles/PMC6804857/ /pubmed/31645970 http://dx.doi.org/10.1038/s41438-019-0199-2 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Article Foster, Toshi M. Bassil, Nahla V. Dossett, Michael Leigh Worthington, Margaret Graham, Julie Genetic and genomic resources for Rubus breeding: a roadmap for the future |
title | Genetic and genomic resources for Rubus breeding: a roadmap for the future |
title_full | Genetic and genomic resources for Rubus breeding: a roadmap for the future |
title_fullStr | Genetic and genomic resources for Rubus breeding: a roadmap for the future |
title_full_unstemmed | Genetic and genomic resources for Rubus breeding: a roadmap for the future |
title_short | Genetic and genomic resources for Rubus breeding: a roadmap for the future |
title_sort | genetic and genomic resources for rubus breeding: a roadmap for the future |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804857/ https://www.ncbi.nlm.nih.gov/pubmed/31645970 http://dx.doi.org/10.1038/s41438-019-0199-2 |
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