Evidence map›Paper›PMID 40474349›Full record

ArticleThe plant genome2025

Genomic and biochemical comparison of allelic triple-mutant lines derived from conventional breeding and multiplex gene editing.

Junqi Liu, Ritesh Kumar, Samatha Gunapati, Steven Mulkey, Yinjie Qiu, Yer Xiong, Vishnu Ramasubramanian, Jean-Michel Michno, Praveen Awasthi, Daniel D Gallaher and 5 more

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Junqi LiuDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.
Ritesh KumarDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-2836-6181
Samatha GunapatiDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.
Steven MulkeyDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-9150-6394
Yinjie QiuDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-0584-0688
Yer XiongDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.
Vishnu RamasubramanianDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-9778-6462
Jean-Michel MichnoDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0003-3723-2246
Praveen AwasthiDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0003-3196-3427
Daniel D GallaherDepartment of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-5969-4938
Thi Thao NguyenGehrke Proteomics Center, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0003-3877-3220
Won-Seok KimDivision of Plant Science and Technology, University of Missouri, Columbia, Missouri, USA.
Hari B KrishnanDivision of Plant Science and Technology, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0001-6437-3672
Aaron J LorenzDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-4361-1683
Robert M StuparDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-8836-2924

Funding

Minnesota Agricultural Experiment Station MIN-13-134Minnesota Soybean Research and Promotion Council 10-16-30-19-210-7527Minnesota Soybean Research and Promotion Council 160-3020-18-06-7527National Institute of Food and Agriculture 2023-33522-41008
6 · The paper itself

Abstract

Multiplex gene editing allows for the simultaneous targeting and mutagenesis of multiple loci in a genome. This tool is particularly valuable for plant genetic improvement, as plant genomes often require mutations at multiple loci to confer useful and/or novel traits. However, the regulation of gene editing can vary depending on the number of loci targeted. In this study, we developed triple-mutant soybean (Glycine max (L.) Merrill) lines using different crop improvement strategies, including conventional backcross breeding of standing variant alleles and clustered regularly interspaced short palindromic repeats-based multiplex editing to introduce new alleles. The mutations were targeted to genes encoding seed antinutritional components, as previously described in a triple null soybean carrying knockout alleles for a Kunitz trypsin inhibitor, a soybean agglutinin, and the allergen P34 protein. The products developed from these respective genetic improvement pipelines were tested for differences between the triple-mutant lines and their parental lines. Analyses included genomics, seed proteomics, trypsin inhibition, seed protein digestibility, and harvestable yield of the different lines. We observed that both multiplex gene editing and conventional breeding approaches produced essentially equivalent products in comparison to their parental lines. We conclude that the multiplex gene editing strategy is not inherently riskier than conventional breeding for developing complex mutant lines of this type.

Indexed as

Gene EditingGenome, PlantGlycine maxPlant BreedingAllelesGenomicsMutationPlants, Genetically ModifiedSeeds

Identifiers

PMID40474349
PMCPMC12141651

What OpenQuestion holds

Textmetadata
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.