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Multi-omics resources for targeted agronomic improvement of pigmented rice

Pigmented rice (Oryza sativa L.) is a rich source of nutrients, but pigmented lines typically have long life cycles and limited productivity. Here we generated genome assemblies of 5 pigmented rice varieties and evaluated the genetic variation among 51 pigmented rice varieties by resequencing an add...

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Autores principales: Sedeek, Khalid, Zuccolo, Andrea, Fornasiero, Alice, Weber, Annika M., Sanikommu, Krishnaveni, Sampathkumar, Sangeetha, Rivera, Luis F., Butt, Haroon, Mussurova, Saule, Alhabsi, Abdulrahman, Nurmansyah, Nurmansyah, Ryan, Elizabeth P., Wing, Rod A., Mahfouz, Magdy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208962/
https://www.ncbi.nlm.nih.gov/pubmed/37169820
http://dx.doi.org/10.1038/s43016-023-00742-9
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author Sedeek, Khalid
Zuccolo, Andrea
Fornasiero, Alice
Weber, Annika M.
Sanikommu, Krishnaveni
Sampathkumar, Sangeetha
Rivera, Luis F.
Butt, Haroon
Mussurova, Saule
Alhabsi, Abdulrahman
Nurmansyah, Nurmansyah
Ryan, Elizabeth P.
Wing, Rod A.
Mahfouz, Magdy M.
author_facet Sedeek, Khalid
Zuccolo, Andrea
Fornasiero, Alice
Weber, Annika M.
Sanikommu, Krishnaveni
Sampathkumar, Sangeetha
Rivera, Luis F.
Butt, Haroon
Mussurova, Saule
Alhabsi, Abdulrahman
Nurmansyah, Nurmansyah
Ryan, Elizabeth P.
Wing, Rod A.
Mahfouz, Magdy M.
author_sort Sedeek, Khalid
collection PubMed
description Pigmented rice (Oryza sativa L.) is a rich source of nutrients, but pigmented lines typically have long life cycles and limited productivity. Here we generated genome assemblies of 5 pigmented rice varieties and evaluated the genetic variation among 51 pigmented rice varieties by resequencing an additional 46 varieties. Phylogenetic analyses divided the pigmented varieties into four varietal groups: Geng-japonica, Xian-indica, circum-Aus and circum-Basmati. Metabolomics and ionomics profiling revealed that black rice varieties are rich in aromatic secondary metabolites. We established a regeneration and transformation system and used CRISPR–Cas9 to knock out three flowering time repressors (Hd2, Hd4 and Hd5) in the black Indonesian rice Cempo Ireng, resulting in an early maturing variety with shorter stature. Our study thus provides a multi-omics resource for understanding and improving Asian pigmented rice.
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spelling pubmed-102089622023-05-26 Multi-omics resources for targeted agronomic improvement of pigmented rice Sedeek, Khalid Zuccolo, Andrea Fornasiero, Alice Weber, Annika M. Sanikommu, Krishnaveni Sampathkumar, Sangeetha Rivera, Luis F. Butt, Haroon Mussurova, Saule Alhabsi, Abdulrahman Nurmansyah, Nurmansyah Ryan, Elizabeth P. Wing, Rod A. Mahfouz, Magdy M. Nat Food Brief Communication Pigmented rice (Oryza sativa L.) is a rich source of nutrients, but pigmented lines typically have long life cycles and limited productivity. Here we generated genome assemblies of 5 pigmented rice varieties and evaluated the genetic variation among 51 pigmented rice varieties by resequencing an additional 46 varieties. Phylogenetic analyses divided the pigmented varieties into four varietal groups: Geng-japonica, Xian-indica, circum-Aus and circum-Basmati. Metabolomics and ionomics profiling revealed that black rice varieties are rich in aromatic secondary metabolites. We established a regeneration and transformation system and used CRISPR–Cas9 to knock out three flowering time repressors (Hd2, Hd4 and Hd5) in the black Indonesian rice Cempo Ireng, resulting in an early maturing variety with shorter stature. Our study thus provides a multi-omics resource for understanding and improving Asian pigmented rice. Nature Publishing Group UK 2023-05-11 2023 /pmc/articles/PMC10208962/ /pubmed/37169820 http://dx.doi.org/10.1038/s43016-023-00742-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Brief Communication
Sedeek, Khalid
Zuccolo, Andrea
Fornasiero, Alice
Weber, Annika M.
Sanikommu, Krishnaveni
Sampathkumar, Sangeetha
Rivera, Luis F.
Butt, Haroon
Mussurova, Saule
Alhabsi, Abdulrahman
Nurmansyah, Nurmansyah
Ryan, Elizabeth P.
Wing, Rod A.
Mahfouz, Magdy M.
Multi-omics resources for targeted agronomic improvement of pigmented rice
title Multi-omics resources for targeted agronomic improvement of pigmented rice
title_full Multi-omics resources for targeted agronomic improvement of pigmented rice
title_fullStr Multi-omics resources for targeted agronomic improvement of pigmented rice
title_full_unstemmed Multi-omics resources for targeted agronomic improvement of pigmented rice
title_short Multi-omics resources for targeted agronomic improvement of pigmented rice
title_sort multi-omics resources for targeted agronomic improvement of pigmented rice
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208962/
https://www.ncbi.nlm.nih.gov/pubmed/37169820
http://dx.doi.org/10.1038/s43016-023-00742-9
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