Evidence map›Paper›PMID 35583743›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Genome Editing with Cas9 in Lactobacilli.

Justin M Vento, Chase L Beisel

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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. Article
  3. Development and Applications of CRISPR/Cas9-Based Genome Editing inInternational journal of molecular sciences · 2022
    Review
  4. 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

2 authors.

Justin M VentoDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Chase L BeiselDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA. chase.beisel@helmholtz-hiri.de.

Funding

Molecular Biotechnology Training at North Carolina State UniversityT32GM008776 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI KELLY, ROBERT M · 2000 to 2019
$3.9M
NIGMS NIH HHS T32 GM008776
6 · The paper itself

Abstract

The bacterial genus Lactobacillus comprises a vast range of strains with varying metabolic and probiotic traits, with genome editing representing an essential tool to probe genotype-phenotype relationships and enhance their beneficial properties. Currently, one of the most effective means of genome editing in bacteria couples low-efficiency recombineering with high-efficiency counterselection by nucleases from CRISPR-Cas systems. In lactobacilli, several CRISPR-based genome editing methods exist that have shown varying success in different strains. Here, we detail a fast and simple approach using two shuttle vectors encoding a recombineering template as well as the Streptococcus pyogenes Cas9, a trans-activating RNA, and a CRISPR array. We provide a step-by-step procedure for cloning the shuttle vectors, sequentially transforming the vectors into lactobacilli, screening for the desired edit, and finally clearing the shuttle vectors from the mutant strain. As CRISPR-based genome editing in bacteria can fail for various reasons, we also lay out instructions for probing mechanisms of escape. Finally, we include practical notes along the way to facilitate each stage of genome editing, and we illustrate the technique using a representative edit in a strain of Lactobacillus plantarum. Overall, this method should serve as a complete guide to performing genome editing in lactobacilli.

Indexed as

Gene EditingLactiplantibacillus plantarumCRISPR-Cas SystemsGenetic VectorsGenome, BacterialLactobacillusGenome editingLactobacillusRecombineeringShuttle vectorSpCas9

Identifiers

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.