Evidence map›Paper›PMID 40146511›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Agrobacterium-Mediated Transformation of Soybean (Glycine max L.) Using Split-Cotyledonary Explant.

Saman Riaz, Muhammad Waqas Choudry, Rabia Riaz, Abdul Munim Farooq, Allah Bakhsh

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Saman RiazSeed Biotech Laboratories, Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Muhammad Waqas ChoudrySeed Biotech Laboratories, Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Rabia RiazSeed Biotech Laboratories, Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Abdul Munim FarooqSeed Biotech Laboratories, Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Allah BakhshSeed Biotech Laboratories, Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan. allahbakhsh@cemb.edu.pk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean is a widely cultivated oilseed and high protein source crop around the globe. Due to their high demand, soybeans are attractive to researchers in genetic engineering. However, soybean is a recalcitrant crop with low transformation efficiency and offers no genotype flexibility. Agrobacterium tumefaciens-mediated and particle bombardment methods of gene transformation are the most practiced transformation methods in soybean. The robust strains of Agrobacterium like GV3101 or EHA105 are preferred for soybean transformation. Transformation efficiency is not only dependent on the genotype of soybean but also on the choice of explant. Cotyledonary node and half seed are commonly used explants for soybean transformation. Here, we describe the Agrobacterium-mediated genetic transformation of soybean cultivars using the GV3101 strain through a split cotyledonary explant. This protocol is optimized for local soybean varieties (i.e., Faisal, Super) using GUS and GFP as reporter genes.

Indexed as

AgrobacteriumAgrobacterium tumefaciensCotyledonGlycine maxTransformation, GeneticGenes, ReporterGenetic EngineeringGene Transfer TechniquesGreen Fluorescent ProteinsPlants, Genetically ModifiedSeedsGreen Fluorescent ProteinsAgrobacterium tumefaciensCotyledonary nodesGUS assayGV3101Soybean

Identifiers

PMID40146511

What OpenQuestion holds

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Registered trials

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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.