Evidence map›Paper›PMID 38925657›Full record

ReviewJournal of industrial microbiology & biotechnology2024

Application of functional genomics for domestication of novel non-model microbes.

Margaret K Bales, Michael Melesse Vergara, Carrie A Eckert

Abstract readReview
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2024. 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. Article
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.

Margaret K BalesBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Michael Melesse VergaraBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Carrie A EckertBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0003-4201-2926

Funding

U.S. Department of Energy ERKP886
6 · The paper itself

Abstract

With the expansion of domesticated microbes producing biomaterials and chemicals to support a growing circular bioeconomy, the variety of waste and sustainable substrates that can support microbial growth and production will also continue to expand. The diversity of these microbes also requires a range of compatible genetic tools to engineer improved robustness and economic viability. As we still do not fully understand the function of many genes in even highly studied model microbes, engineering improved microbial performance requires introducing genome-scale genetic modifications followed by screening or selecting mutants that enhance growth under prohibitive conditions encountered during production. These approaches include adaptive laboratory evolution, random or directed mutagenesis, transposon-mediated gene disruption, or CRISPR interference (CRISPRi). Although any of these approaches may be applicable for identifying engineering targets, here we focus on using CRISPRi to reduce the time required to engineer more robust microbes for industrial applications. ONE-SENTENCE SUMMARY: The development of genome scale CRISPR-based libraries in new microbes enables discovery of genetic factors linked to desired traits for engineering more robust microbial systems.

Indexed as

BacteriaGenomicsClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsGene EditingGenetic EngineeringIndustrial MicrobiologyMetabolic EngineeringCRISPRiGenome-scale screeningSynthetic biology

Identifiers

PMID38925657
PMCPMC11247347

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.