Evidence map›Paper›PMID 20221724›Full record

ArticleJournal of microbiology (Seoul, Korea)2010

Isolation and characterization of marine pigmented bacteria from Norwegian coastal waters and screening for carotenoids with UVA-blue light absorbing properties.

Marit H Stafsnes, Kjell D Josefsen, Geir Kildahl-Andersen, Svein Valla, Trond E Ellingsen, Per Bruheim

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Article in Journal of microbiology (Seoul, Korea), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  4. Pigments from pathogenic bacteria: a comprehensive update on recent advances.World journal of microbiology & biotechnology · 2024
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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.

Marit H StafsnesDepartment of Biotechnology, Norwegian University of Science and Technology, Trondheim, Norway.
Kjell D Josefsen
Geir Kildahl-Andersen
Svein Valla
Trond E Ellingsen
Per Bruheim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial culture collections are important resources for isolation of natural compounds with novel properties. In this study, a culture collection of around 1,500 pigmented heterotrophic bacteria was established. The bacteria were isolated from the sea surface microlayer at different sampling sites along the mid-part of the Norwegian coast. The bacterial isolates produced pigments of various coloration (e.g. golden, yellow, red, pink and orange). Methanol extracts of sixteen isolates were characterized with LC-Diodearray-TOF mass spectrometry analysis. The number of pigments per isolate varied considerably, and a tentative identification of the pigments was performed based on UV-absorbance profile and molecular formula assignation based on the accurate mass determination. The LC-MS analyses revealed that most of the pigments probably were carotenoids. Furthermore, we developed a high throughput LC-MS method for characterization and screening of a larger sub-fraction (300 isolates) of the culture collection. The aim was to screen and identify bacterial isolates producing carotenoids that absorb light in the UVA-Blue light. Six of the bacterial strains were selected for detailed investigation, including 16s rRNA sequencing, preparative HPLC for purification of major carotenoids and subsequent structural elucidation with NMR. Among the identified carotenoids were zeaxanthin, nostoxanthin and sarcinaxanthin, some with novel glycosylation patterns.

Indexed as

Water MicrobiologyBacteriaCarotenoidsChromatography, LiquidMass SpectrometryMethanolNorwayOceans and SeasSpectrophotometry, UltravioletCarotenoidsMethanol

Identifiers

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Registered trials

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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.