Evidence map›Paper›PMID 26544181›Full record

ArticlePloS one2015

Quantitative 'Omics Analyses of Medium Chain Length Polyhydroxyalkanaote Metabolism in Pseudomonas putida LS46 Cultured with Waste Glycerol and Waste Fatty Acids.

Jilagamazhi Fu, Parveen Sharma, Vic Spicer, Oleg V Krokhin, Xiangli Zhang, Brian Fristensky, Nazim Cicek, Richard Sparling, David B Levin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Fed-BatchFrontiers in bioengineering and biotechnology · 2021
    Article
  4. Review
  5. Review
  6. Proteomic Response ofBiomolecules · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Biorefinery for Glycerol Rich Biodiesel Industry Waste.Indian journal of microbiology · 2016
    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

9 authors at 1 institution in 1 country.

Jilagamazhi FuDepartment of Biosystem Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
Parveen SharmaDepartment of Biosystem Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
Vic SpicerDepartment of Internal Medicine & Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Manitoba, Canada.
Oleg V KrokhinDepartment of Internal Medicine & Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Manitoba, Canada.
Xiangli ZhangDepartment of Plant Science, University of Manitoba, Winnipeg, Manitoba, Canada.
Brian FristenskyDepartment of Plant Science, University of Manitoba, Winnipeg, Manitoba, Canada.
Nazim CicekDepartment of Biosystem Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
Richard SparlingDepartment of Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada.
David B LevinDepartment of Biosystem Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
University of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomes and proteomes of Pseudomonas putida LS46 cultured with biodiesel-derived waste glycerol or waste free fatty acids, as sole carbon sources, were compared under conditions that were either permissive or non-permissive for synthesis of medium chain length polyhydroxyalkanoates (mcl-PHA). The objectives of this study were to elucidate mechanisms that influence activation of biopolymer synthesis, intra-cellular accumulation, and monomer composition, and determine if these were physiologically specific to the carbon sources used for growth of P. putida LS46. Active mcl-PHA synthesis by P. putida LS46 was associated with high expression levels of key mcl-PHA biosynthesis genes and/or gene products including monomer-supplying proteins, PHA synthases, and granule-associated proteins. 'Omics data suggested that expression of these genes were regulated by different genetic mechanisms in P. putida LS46 cells in different physiological states, when cultured on the two waste carbon sources. Optimal polymer production by P. putida LS46 was primarily limited by less efficient glycerol metabolism during mcl-PHA synthesis on waste glycerol. Mapping the 'Omics data to the mcl-PHA biosynthetic pathway revealed significant variations in gene expression, primarily involved in: 1) glycerol transportation; 2) enzymatic reactions that recycle reducing equivalents and produce key mcl-PHA biosynthesis pathway intermediates (e.g. NADH/NADPH, acetyl-CoA). Active synthesis of mcl-PHAs was observed during exponential phase in cultures with waste free fatty acids, and was associated with the fatty acid beta-oxidation pathway. A putative Thioesterase in the beta-oxidation pathway that may regulate the level of fatty acid beta-oxidation intermediates, and thus carbon flux to mcl-PHA biosynthesis, was highly up-regulated. Finally, the data suggested that differences in expression of selected fatty acid metabolism and mcl-PHA monomer-supplying enzymes may play a role in determining the monomer composition of mcl-PHA polymers. Understanding the relationships between genome content, gene and gene product expression, and how these factors influence polymer synthesis, will aid in optimization of mcl-PHA production by P. putida LS46 using biodiesel waste streams.

Indexed as

BiofuelsCulture TechniquesFatty AcidsGene Expression ProfilingGene Expression Regulation, BacterialGlycerolPolyhydroxyalkanoatesProteomicsPseudomonas putidaBiofuelsFatty AcidsGlycerolPolyhydroxyalkanoates

Identifiers

PMID26544181
PMCPMC4636370
OpenAlexW2116096474

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.