Evidence map›Paper›PMID 35285712›Full record

ArticleApplied and environmental microbiology2022

Nitrogen Metabolism in Pseudomonas putida: Functional Analysis Using Random Barcode Transposon Sequencing.

Matthias Schmidt, Allison N Pearson, Matthew R Incha, Mitchell G Thompson, Edward E K Baidoo, Ramu Kakumanu, Aindrila Mukhopadhyay, Patrick M Shih, Adam M Deutschbauer, Lars M Blank and 1 more

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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Multi-layered metabolic remodeling ofMetabolic engineering communications · 2026
    Article
  3. Article
  4. Predicting Strain-Specific Metabolic Capabilities in the GenusComputational and structural biotechnology journal · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. EngineeringMetabolic engineering communications · 2025
    Article
  9. Article
  10. Article
  11. Exploring the Metabolic Response of Pseudomonas putida to L-arginine.Advances in experimental medicine and biology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Gene expression reprogramming ofMicrobiology (Reading, England) · 2024
    Article
  17. 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

11 authors at 3 institutions in 4 countries.

Matthias Schmidt *Joint BioEnergy Institute, Emeryville, California, USA.
Allison N Pearson *Joint BioEnergy Institute, Emeryville, California, USA.
Matthew R InchaJoint BioEnergy Institute, Emeryville, California, USA.
Mitchell G ThompsonJoint BioEnergy Institute, Emeryville, California, USA.
Edward E K BaidooJoint BioEnergy Institute, Emeryville, California, USA.
Ramu KakumanuJoint BioEnergy Institute, Emeryville, California, USA.
Aindrila MukhopadhyayJoint BioEnergy Institute, Emeryville, California, USA.ORCID 0000-0002-6513-7425
Patrick M ShihJoint BioEnergy Institute, Emeryville, California, USA.
Adam M DeutschbauerDepartment of Plant and Microbial Biology, University of California, Berkeleygrid.47840.3f, California, USA.
Lars M BlankInstitute of Applied Microbiology (iAMB), Aachen Biology and Biotechnology (ABBt), RWTH Aachen University, Aachen, Germany.
Jay D KeaslingJoint BioEnergy Institute, Emeryville, California, USA.ORCID 0000-0003-4170-6088
Lawrence Berkeley National Laboratory · USQB3 · USRWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas putida KT2440 has long been studied for its diverse and robust metabolisms, yet many genes and proteins imparting these growth capacities remain uncharacterized. Using pooled mutant fitness assays, we identified genes and proteins involved in the assimilation of 52 different nitrogen containing compounds. To assay amino acid biosynthesis, 19 amino acid drop-out conditions were also tested. From these 71 conditions, significant fitness phenotypes were elicited in 672 different genes including 100 transcriptional regulators and 112 transport-related proteins. We divide these conditions into 6 classes, and propose assimilatory pathways for the compounds based on this wealth of genetic data. To complement these data, we characterize the substrate range of three promiscuous aminotransferases relevant to metabolic engineering efforts

Indexed as

Pseudomonas putidaAmino AcidsNitrogenPhenotypeTransaminasesAmino AcidsNitrogenTransaminasesamino acidaminotransferaseaminotransferasesBarSeqbiosensorbiosensorslactammetabolismnitratenitritenitrogennitrogen metabolismnucleotidepolyaminePseudomonas putidaRB-TnSeqtransposont-SNE

Identifiers

PMID35285712
PMCPMC9004399
OpenAlexW4221066590

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.