Evidence map›Paper›PMID 34788063›Full record

ArticleApplied and environmental microbiology2022

Characterization of Highly Ferulate-Tolerant Acinetobacter baylyi ADP1 Isolates by a Rapid Reverse Engineering Method.

Jin Luo, Emily A McIntyre, Stacy R Bedore, Ville Santala, Ellen L Neidle, Suvi Santala

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Genome evolution ofApplied and environmental microbiology · 2025
    Article
  6. Article
  7. Metabolic engineering ofMetabolic engineering communications · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors at 2 institutions in 2 countries.

Jin LuoFaculty of Engineering and Natural Sciences, Hervanta Campus, Tampere University, Tampere, Finland.ORCID 0000-0001-6126-9394
Emily A McIntyreDepartment of Microbiology, University of Georgiagrid.213876.9, Athens, Georgia, USA.
Stacy R BedoreDepartment of Microbiology, University of Georgiagrid.213876.9, Athens, Georgia, USA.
Ville SantalaFaculty of Engineering and Natural Sciences, Hervanta Campus, Tampere University, Tampere, Finland.
Ellen L NeidleDepartment of Microbiology, University of Georgiagrid.213876.9, Athens, Georgia, USA.
Suvi SantalaFaculty of Engineering and Natural Sciences, Hervanta Campus, Tampere University, Tampere, Finland.
Tampere University · FIUniversity of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive laboratory evolution (ALE) is a powerful approach for improving phenotypes of microbial hosts. Evolved strains typically contain numerous mutations that can be revealed by whole-genome sequencing. However, determining the contribution of specific mutations to new phenotypes is typically challenging and laborious. This task is complicated by factors such as the mutation type, the genomic context, and the interplay between different mutations. Here, a novel approach was developed to identify the significance of mutations in strains evolved from Acinetobacter baylyi ADP1. This method, termed rapid advantageous mutation screening and selection (RAMSES), was used to analyze mutants that emerged from stepwise adaptation to and consumption of high levels of ferulate, a common lignin-derived aromatic compound. After whole-genome sequence analysis, RAMSES allowed rapid determination of effective mutations and seamless introduction of the beneficial mutations into the chromosomes of new strains with different genetic backgrounds. This simple approach to reverse engineering exploits the natural competence and high recombination efficiency of ADP1. Mutated DNA, added directly to growing cells, replaces homologous chromosomal regions to generate transformants that will become enriched if there is a selective benefit. Thus, advantageous mutations can be rapidly identified. Here, the growth advantage of transformants under selective pressure revealed key mutations in genes related to aromatic transport, including

Indexed as

AcinetobacterLigninMetabolic EngineeringMutationLigninAcinetobacter baylyi ADP1adaptive laboratory evolutionaromatic acidsreverse engineeringtolerance

Identifiers

PMID34788063
PMCPMC8788691
OpenAlexW3213790092

What OpenQuestion holds

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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.