Evidence map›Paper›PMID 36066192›Full record

ArticleThe Plant cell2023

BREEDIT: a multiplex genome editing strategy to improve complex quantitative traits in maize.

Christian Damian Lorenzo, Kevin Debray, Denia Herwegh, Ward Develtere, Lennert Impens, Dries Schaumont, Wout Vandeputte, Stijn Aesaert, Griet Coussens, Yara De Boe and 7 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The Plant cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 84 citations in OpenAlex.

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  8. PotatoMASH is a cost-effective marker system for genomic prediction in potato based on short-read haplotypes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 1 institution in 1 country.

Christian Damian LorenzoCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0003-3954-0234
Kevin DebrayCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0003-2898-9415
Denia HerweghCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0001-7744-6375
Ward DeveltereCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0002-7171-8031
Lennert ImpensCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0002-6330-4744
Dries SchaumontFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), B-9820 Merelbeke, Belgium.ORCID 0000-0002-4389-0440
Wout VandeputteCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0001-7813-3645
Stijn AesaertCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0001-8787-7347
Griet CoussensCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0003-2285-5782
Yara De BoeCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0003-3079-2865
Kirin DemuynckCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0002-8772-3505
Tom Van HautegemCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0003-3173-2477
Laurens PauwelsCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0002-0221-9052
Thomas B JacobsCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0002-5408-492X
Tom RuttinkFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), B-9820 Merelbeke, Belgium.ORCID 0000-0002-1012-9399
Hilde NelissenCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0001-7494-1290
Dirk InzéCenter for Plant Systems Biology, VIB, B-9052 Gent, Belgium.ORCID 0000-0002-3217-8407
Ghent University · BE

Funding

European Research Council 833866European Research Council H2020/2019-2025
6 · The paper itself

Abstract

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.

Indexed as

Gene EditingZea maysCRISPR-Cas SystemsGenome, PlantMultifactorial InheritancePlant BreedingPlants, Genetically Modified

Identifiers

PMID36066192
PMCPMC9806654
OpenAlexW4294754892

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.