Evidence map›Paper›PMID 32599531›Full record

ReviewCurrent opinion in microbiology2020

Targeted mutagenesis of multiple chromosomal regions in microbes.

Bálint Csörgő, Akos Nyerges, Csaba Pál

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 3 institutions in 3 countries.

Bálint CsörgőDepartment of Microbiology and Immunology, University of California, San Francisco, 94143, San Francisco, CA, USA; Genome Biology Unit, European Molecular Biology Laboratory, 69117, Heidelberg, Germany. Electronic address: Balint.Csorgo@ucsf.edu.
Akos NyergesSynthetic and Systems Biology Unit, Biological Research Centre, 6726, Szeged, Hungary; Department of Genetics, Harvard Medical School, 02115, Boston, MA, USA.
Csaba PálSynthetic and Systems Biology Unit, Biological Research Centre, 6726, Szeged, Hungary. Electronic address: cpal@brc.hu.
Harvard University · USHUN-REN Szegedi Biológiai Kutatóközpont · HUUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Directed evolution allows the effective engineering of proteins, biosynthetic pathways, and cellular functions. Traditional plasmid-based methods generally subject one or occasionally multiple genes-of-interest to mutagenesis, require time-consuming manual interventions, and the genes that are subjected to mutagenesis are outside of their native genomic context. Other methods mutagenize the whole genome unselectively which may distort the outcome. Recent recombineering- and CRISPR-based technologies radically change this field by allowing exceedingly high mutation rates at multiple, predefined loci in their native genomic context. In this review, we focus on recent technologies that potentially allow accelerated tunable mutagenesis at multiple genomic loci in the native genomic context of these target sequences. These technologies will be compared by four main criteria, including the scale of mutagenesis, portability to multiple microbial species, off-target mutagenesis, and cost-effectiveness. Finally, we discuss how these technical advances open new avenues in basic research and biotechnology.

Indexed as

MutagenesisBacteriaChromosomes, BacterialCRISPR-Cas SystemsGenetic EngineeringPlasmids

Identifiers

PMID32599531
PMCPMC7613694
OpenAlexW3037758266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.