| Title |
Biological conversion of aromatic monolignol compounds by a Pseudomonas isolate from sediments of the Baltic Sea
|
|---|---|
| Published in |
AMB Express, March 2018
|
| DOI | 10.1186/s13568-018-0563-x |
| Pubmed ID | |
| Authors |
Krithika Ravi, Javier García-Hidalgo, Matthias Nöbel, Marie F. Gorwa-Grauslund, Gunnar Lidén |
| Abstract |
Bacterial strains were isolated from the sediments of the Baltic Sea using ferulic acid, guaiacol or a lignin-rich softwood waste stream as substrate. In total nine isolates were obtained, five on ferulic acid, two on guaiacol and two on a lignin-rich softwood stream as a carbon source. Three of the isolates were found to be Pseudomonas sp. based on 16S rRNA sequencing. Among them, isolate 9.1, which showed the fastest growth in defined M9 medium, was tentatively identified as a Pseudomonas deceptionensis strain based on the gyrB sequencing. The growth of isolate 9.1 was further examined on six selected lignin model compounds (ferulate, p-coumarate, benzoate, syringate, vanillin and guaiacol) from different upper funneling aromatic pathways and was found able to grow on four out of these six compounds. No growth was detected on syringate and guaiacol. The highest specific growth and uptake rates were observed for benzoate (0.3 h-1and 4.2 mmol gCDW-1 h-1) whereas the lowest were for the compounds from the coniferyl branch. Interestingly, several pathway intermediates were excreted during batch growth. Vanillyl alcohol was found to be excreted during growth on vanillin. Several other intermediates like cis,cis-muconate, catechol, vanillate and 4-hydroxybenzoate from the known bacterial catabolic pathways were excreted during growth on the model compounds. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 15% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Researcher | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 15 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 15% |
| Chemical Engineering | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Environmental Science | 3 | 7% |
| Chemistry | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 18 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 March 2018.
All research outputs
#18,589,103
of 23,025,074 outputs
Outputs from AMB Express
#806
of 1,241 outputs
Outputs of similar age
#257,740
of 331,404 outputs
Outputs of similar age from AMB Express
#39
of 51 outputs
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