Evidence map›Paper›PMID 41182907›Full record

ReviewMicrobiology (Reading, England)2025

A comprehensive review of genomic-scale genetic engineering as a strategy to improve bacterial productivity.

Mario Alberto Pantoja-Alonso, José Alberto Camas-Reyes, Rafael Cano-Segura, María Del Rosario Cárdenas-Aquino, Agustino Martínez-Antonio

Abstract readReview
In one paragraph

Review in Microbiology (Reading, England), 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.

Mario Alberto Pantoja-AlonsoBiological Engineering Laboratory, Cinvestav Irapuato, Km. 9.6 Libramiento Norte Carr, Irapuato-León 36824 Irapuato Gto, Mexico.
José Alberto Camas-ReyesBiological Engineering Laboratory, Cinvestav Irapuato, Km. 9.6 Libramiento Norte Carr, Irapuato-León 36824 Irapuato Gto, Mexico.
Rafael Cano-SeguraBiological Engineering Laboratory, Cinvestav Irapuato, Km. 9.6 Libramiento Norte Carr, Irapuato-León 36824 Irapuato Gto, Mexico.
María Del Rosario Cárdenas-AquinoBiological Engineering Laboratory, Cinvestav Irapuato, Km. 9.6 Libramiento Norte Carr, Irapuato-León 36824 Irapuato Gto, Mexico.
Agustino Martínez-AntonioBiological Engineering Laboratory, Cinvestav Irapuato, Km. 9.6 Libramiento Norte Carr, Irapuato-León 36824 Irapuato Gto, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial genome engineering has evolved to provide increasingly precise, robust and rapid tools, driving the development and optimization of bacterial production of numerous compounds. The field has progressed from early random mutagenesis methods, labour-intensive and inefficient, to rational and multiplexed strategies enabled by advances in genomics and synthetic biology. Among these tools, CRISPR/Cas has stood out for its versatility and its ability to achieve precision levels ranging from 50% to 90%, compared to the 10-40% obtained with earlier techniques, thereby enabling remarkable improvements in bacterial productivity. Nevertheless, like its predecessors, it still demands continuous refinement to reach full maturity. In this context, the present review addresses the lack of a unified overview by summarizing historical milestones and practical applications of genomic engineering tools in bacteria. It integrates diverse approaches to provide a comprehensive perspective on the evolution and prospects of these fundamental biotechnological tools.

Indexed as

BacteriaGenetic EngineeringGenome, BacterialCRISPR-Cas SystemsGene EditingGenomicsMetabolic EngineeringSynthetic BiologyCRISPR/Cas systemsgenome editinggenomic tools and high-value metabolitesmetabolic engineeringsynthetic biology

Identifiers

PMID41182907
PMCPMC12582554

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.