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Record W2524817687 · doi:10.11159/icbb16.102

Influencing Fatty Acids Composition of Yeasts by Lanthanides

2016· article· en· W2524817687 on OpenAlexvenueno aff
Irena Kolouchová, Tomáš Řezanka, Michal Zimola

Bibliographic record

VenueProceedings of the World Congress on New Technologies · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsComposition (language)LanthanideChemistryFood scienceOrganic chemistryArt

Abstract

fetched live from OpenAlex

The growth of microorganisms is affected by cultivation conditions, concentration of carbon and nitrogen sources and the presence of trace elements. One of new possibilities of influencing the production of biomass or lipids is the use of lanthanides. Lanthanides are biologically non-essential elements with wide applications in technology and industry and their concentration as environmental contaminants is therefore increasing. Although non-essential, lanthanides have been proposed (and even used) to produce beneficial effects in plants but their mechanisms of action are unclear. Recently, it was suggested that they may replace essential elements. We tested the effect of low concentrations of lanthanides on traditional biotechnologically useful yeast species (Kluyveromyces polysporus, Saccharomyces cerevisiae, Torulospora delbrueckii), and species capable of high accumulation of lipids (Rhodotorula glutinis, Trichosporon cutaneum, Candida sp., Yarrowia lipolytica). Growth characteristics were determined in the above yeast strains cultivated with different lanthanides or monazite (calculated to lanthanum proportional content) concentrations (0.03; 0.3; 1; 3 mg/L). The cultivations were carried out for 96 h (until early stationary phase), cultivation temperature was 30 C. The fatty acids extraction was based on the method of Bligh and Dyer (1959). Gas chromatography-mass spectrometry of fatty acid picolinyl esters was done on a GC-MS system.The lanthanides in selected concentration did not have any significant inhibitory effect on yeast growth and some of them even showed a stimulatory effect. Low concentrations of some lanthanides were conducive to an increase in biomas and also higher production of palmitoleic acid, commonly used in cosmetics and medicine, and 6-linoleic acid which is a precursor of thromboxanes, prostaglandins and leucotrienes. Lanthanum enhanced the cell biomass of T. cutaneum by as much as 150% and other individual selected lanthanides (lanthanum, praseodymium, gadolinium and monazite as a naturally occurring mixture of lanthanides) in the range of 23 and 57 %. Cultivation with monazite increased the cell biomass in Candida sp., R. glutinis and T. cutaneum by 30 -40% and in Y. lipolytica by 60%. A sizable increase in lipid content occurred upon addition of praseodymium and lanthanum to K. polysporus (from 5 % to 9 %), Candida sp. (from 35 % to 43 %), Y. lipolytica (from 18 % to 25 %) and a 10-fold higher concentration of monazite (3 mg/l) boosted the increase of lipid content by some 50% compared to the effect of 0.3 mg/l. The highest increase of the palmitoleic and linoleic acid content was brought about by lanthanum, and in some strains by monazite irrespective of its concentration. The highest yield of palmitoleic and linoleic acid, in excess of 300 mg/g, was obtained by culturing T. cutaneum with lanthanum and monazite.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.108

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.226
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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