Evidence map›Paper›PMID 38767664›Full record

ArticleApplied microbiology and biotechnology2024

Distinction of chia varieties in vivo and in vitro based on the flow cytometry and rosmarinic acid production.

Sara Motyka, Agnieszka Szopa, Sergio J Ochatt

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

3 authors.

Sara MotykaChair and Department of Pharmaceutical Botany, Medical College, Jagiellonian University, Medyczna 9, 30-688, Kraków, Poland.ORCID http://orcid.org/0000-0002-5424-4575
Agnieszka SzopaChair and Department of Pharmaceutical Botany, Medical College, Jagiellonian University, Medyczna 9, 30-688, Kraków, Poland. a.szopa@uj.edu.pl.ORCID http://orcid.org/0000-0002-6351-4047
Sergio J OchattINRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, AgroécologieDijon, France.ORCID http://orcid.org/0000-0002-2887-4389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow cytometry has made a significant contribution to the study of several complex fundamental mechanisms in plant cytogenetics, becoming a useful analytical tool to understand several mechanisms and processes underlying plant growth, development, and function. In this study, the genome size, DNA ploidy level, and A-T/G-C ratio were measured for the first time for two genotypes of chia, Salvia hispanica, an herbaceous plant commonly used in phytotherapy and nutrition. This study also evaluated, for the first time by flow cytometry, the capacity to produce organic acids of tissues stained with LysoTracker Deep Red after elicitation with either yeast extract or cadmium chloride. Rosmarinic acid content differed between the two chia varieties treated with different elicitor concentrations, compared with non-elicited plant material. Elicited tissues of both varieties contained a higher content of rosmarinic acid compared with non-elicited cultures, and cadmium chloride at 500 μM was much better than that at 1000 μM, which led to plant death. For both genotypes, a dose-response was observed with yeast extract, as the higher the concentration of elicitor used, the higher rosmarinic acid content, resulting also in better results and a higher content of rosmarinic acid compared with cadmium chloride. This study demonstrates that flow cytometry may be used as a taxonomy tool, to distinguish among very close genotypses of a given species and, for the first time in plants, that this approach can also be put to profit for a characterization of the cytoplasmic acid phase and the concomitant production of secondary metabolites of interest in vitro, with or without elicitation. KEY POINTS: • Genome size, ploidy level, A-T/G-C ratio, and cytoplasm acid phase of S. hispanica • Cytometry study of cytoplasm acid phase of LysoTracker Deep Red-stained plant cells • Yeast extract or cadmium chloride elicited rosmarinic acid production of chia tissues.

Indexed as

CinnamatesDepsidesFlow CytometryRosmarinic AcidSalviaCadmium ChlorideGenome, PlantGenotypePloidiesCadmium ChlorideCinnamatesDepsidesRosmarinic AcidChiaFlow cytometryGenome sizePloidy levelSecondary metabolites

Identifiers

PMID38767664
PMCPMC11106112

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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.