Multitrait engineering of Hassawi red rice for sustainable cultivation.

CRISPR Genome sequencing Hassawi rice Human nutrition Metabolome screening Sustainable agriculture Trait engineering

Journal

Plant science : an international journal of experimental plant biology
ISSN: 1873-2259
Titre abrégé: Plant Sci
Pays: Ireland
ID NLM: 9882015

Informations de publication

Date de publication:
05 Feb 2024
Historique:
received: 21 11 2023
revised: 15 01 2024
accepted: 31 01 2024
medline: 8 2 2024
pubmed: 8 2 2024
entrez: 7 2 2024
Statut: aheadofprint

Résumé

Sustainable agriculture requires locally adapted varieties that produce nutritious food with limited agricultural inputs. Genome engineering represents a viable approach to develop cultivars that fulfill these criteria. For example, the red Hassawi rice, a native landrace of Saudi Arabia, tolerates local drought and high-salinity conditions and produces grain with diverse health-promoting phytochemicals. However, Hassawi has a long growth cycle, high cultivation costs, low productivity, and susceptibility to lodging. Here, to improve these undesirable traits via genome editing, we established efficient regeneration and Agrobacterium-mediated transformation protocols for Hassawi. In addition, we generated the first high-quality reference genome and targeted the key flowering repressor gene, Hd4, thus shortening the plant's lifecycle and height. Using CRISPR/Cas9 multiplexing, we simultaneously disrupted negative regulators of flowering time (Hd2, Hd4, and Hd5), grain size (GS3), grain number (GN1a), and plant height (Sd1). The resulting homozygous mutant lines flowered extremely early (~56 days) and had shorter stems (approximately 107cm), longer grains (by 5.1%), and more grains per plant (by 50.2%), thereby enhancing overall productivity. Furthermore, the awns of grains were 86.4% shorter compared to unedited plants. Moreover, the modified rice grain displayed improved nutritional attributes. As a result, the modified Hassawi rice combines several desirable traits that can incentivize large-scale cultivation and reduce malnutrition.

Identifiants

pubmed: 38325660
pii: S0168-9452(24)00045-1
doi: 10.1016/j.plantsci.2024.112018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112018

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Competing interests The authors declare that they have no competing interests. Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Khalid Sedeek (K)

Laboratory for Genome Engineering and Synthetic Biology, Division of Biological Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Nahed Mohammed (N)

Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Yong Zhou (Y)

Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Andrea Zuccolo (A)

Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; Crop Science Research Center, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà 33, 56127 Pisa, Italy.

Krishnaveni Sanikommu (K)

Laboratory for Genome Engineering and Synthetic Biology, Division of Biological Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Sunitha Kantharajappa (S)

Laboratory for Genome Engineering and Synthetic Biology, Division of Biological Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Noor Al-Bader (N)

Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Manal Tashkandi (M)

Department of Biological Science, College of Science, University of Jeddah, Jeddah, Saudi Arabia.

Rod A Wing (RA)

Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031 Laguna, Philippines.

Magdy M Mahfouz (MM)

Laboratory for Genome Engineering and Synthetic Biology, Division of Biological Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; Center for Desert Agriculture, Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. Electronic address: magdy.mahfouz@kaust.edu.sa.

Classifications MeSH