气候变化领域集成服务门户(CCPortal): BREEDIT: a multiplex genome editing strategy to improve complex quantitative traits in maize

CCPortal

DOI	10.1093/plcell/koac243
	BREEDIT: a multiplex genome editing strategy to improve complex quantitative traits in maize
	Lorenzo, Christian Damian; Debray, Kevin; Herwegh, Denia; Develtere, Ward; Impens, Lennert; Schaumont, Dries; Vandeputte, Wout; Aesaert, Stijn; Coussens, Griet; De Boe, Yara; Demuynck, Kirin; Van Hautegem, Tom; Pauwels, Laurens; Jacobs, Thomas B.; Ruttink, Tom; Nelissen, Hilde; Inze, Dirk
发表日期	2023
ISSN	1040-4651
EISSN	1532-298X
起始页码	218
结束页码	238
卷号	35 期号:1
英文摘要	Ensuring food security for an ever-growing global population while adapting to climate change is the main challenge for agriculture in the 21st century. Although new technologies are being applied to tackle this problem, we are approaching a plateau in crop improvement using conventional breeding. Recent advances in CRISPR/Cas9-mediated gene engineering have paved the way to accelerate plant breeding to meet this increasing demand. However, many traits are governed by multiple small-effect genes operating in complex interactive networks. Here, we present the gene discovery pipeline BREEDIT, which combines multiplex genome editing of whole gene families with crossing schemes to improve complex traits such as yield and drought tolerance. We induced gene knockouts in 48 growth-related genes into maize (Zea mays) using CRISPR/Cas9 and generated a collection of over 1,000 gene-edited plants. The edited populations displayed (on average) 5%-10% increases in leaf length and up to 20% increases in leaf width compared with the controls. For each gene family, edits in subsets of genes could be associated with enhanced traits, allowing us to reduce the gene space to be considered for trait improvement. BREEDIT could be rapidly applied to generate a diverse collection of mutants to identify promising gene modifications for later use in breeding programs. BREEDIT is a gene discovery pipeline that combines multiplex CRISPR/Cas9 genome editing of whole gene families with crossing schemes to improve complex quantitative traits.
语种	英语
WOS研究方向	Biochemistry & Molecular Biology ; Plant Sciences ; Cell Biology
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000850267400001
来源期刊	PLANT CELL
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281006
作者单位	Flanders Institute for Biotechnology (VIB); Ghent University; Institute For Agricultural & Fisheries Research
推荐引用方式 GB/T 7714	Lorenzo, Christian Damian,Debray, Kevin,Herwegh, Denia,et al. BREEDIT: a multiplex genome editing strategy to improve complex quantitative traits in maize[J],2023,35(1).
APA	Lorenzo, Christian Damian.,Debray, Kevin.,Herwegh, Denia.,Develtere, Ward.,Impens, Lennert.,...&Inze, Dirk.(2023).BREEDIT: a multiplex genome editing strategy to improve complex quantitative traits in maize.PLANT CELL,35(1).
MLA	Lorenzo, Christian Damian,et al."BREEDIT: a multiplex genome editing strategy to improve complex quantitative traits in maize".PLANT CELL 35.1(2023).