Evidence map›Paper›PMID 36443619›Full record

ReviewMolecular biotechnology2023

Recent Advances in Antibiotic-Free Markers; Novel Technologies to Enhance Safe Human Food Production in the World.

Gideon Sadikiel Mmbando

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

1 author at 1 institution in 1 country.

Gideon Sadikiel MmbandoDepartment of Biology, College of Natural and Mathematical Sciences, University of Dodoma (UDOM), P. O. Box 256, Dodoma, Tanzania. gideonmmbando@gmail.com.ORCID http://orcid.org/0000-0001-8014-9072
The University of Dodoma · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crops that have been genetically modified (GM) include additional beneficial traits that present fresh approaches to boosting yield productivity and sustainable agriculture. Transformation and regeneration are the two main steps in the production of GM crops. Antibiotic resistance marker genes (ARMGs) must be used for selection because crops have very little ability to transform. Significant global concerns about the security of both human health and the environment have been raised by the use of ARMGs in the production of GM foods or for therapeutic purposes. A rise in antimicrobial resistance is the biggest danger, according to recent research. Due to a lack of information on alternate methods, ARMGs are still employed in the production of GM crops today. The creation of GM crops without ARMGs using alternative methods is crucial to addressing the safety issue. This review discusses current methods for producing GM crops free of ARMGs, or "clean-gene" technology. These methods' benefits and drawbacks are also discussed. One of them, positive selection by phosphomannose isomerase (PMI) system of different plants, has been optimized and subjected to full risk assessment and is more productive than conventional protocols that employ ARMGs. This information will be useful for enhancing breeding programs, producing safe human food, and increasing support for GM crops among the general public.

Indexed as

Crops, AgriculturalPlant BreedingAgricultureHumansPlants, Genetically ModifiedTechnologyAntibioticGenetically modifiedGM cropsMarker-freeSelectable markerTransformation

Identifiers

PMID36443619
OpenAlexW4310191450

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.