Evidence map›Paper›PMID 23613953›Full record

ArticlePloS one2013

A powerful molecular engineering tool provided efficient Chlamydomonas mutants as bio-sensing elements for herbicides detection.

Maya D Lambreva, Maria Teresa Giardi, Irene Rambaldi, Amina Antonacci, Sandro Pastorelli, Ivo Bertalan, Ivan Husu, Udo Johanningmeier, Giuseppina Rea

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

9 authors.

Maya D LambrevaInstitute of Crystallography, National Research Council, Monterotondo Scalo, Rome, Italy. maya.lambreva@ic.cnr.it
Maria Teresa Giardi
Irene Rambaldi
Amina Antonacci
Sandro Pastorelli
Ivo Bertalan
Ivan Husu
Udo Johanningmeier
Giuseppina Rea

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was prompted by increasing concerns about ecological damage and human health threats derived by persistent contamination of water and soil with herbicides, and emerging of bio-sensing technology as powerful, fast and efficient tool for the identification of such hazards. This work is aimed at overcoming principal limitations negatively affecting the whole-cell-based biosensors performance due to inadequate stability and sensitivity of the bio-recognition element. The novel bio-sensing elements for the detection of herbicides were generated exploiting the power of molecular engineering in order to improve the performance of photosynthetic complexes. The new phenotypes were produced by an in vitro directed evolution strategy targeted at the photosystem II (PSII) D1 protein of Chlamydomonas reinhardtii, using exposures to radical-generating ionizing radiation as selection pressure. These tools proved successful to identify D1 mutations conferring enhanced stability, tolerance to free-radical-associated stress and competence for herbicide perception. Long-term stability tests of PSII performance revealed the mutants capability to deal with oxidative stress-related conditions. Furthermore, dose-response experiments indicated the strains having increased sensitivity or resistance to triazine and urea type herbicides with I(50) values ranging from 6 × 10(-8) M to 2 × 10(-6) M. Besides stressing the relevance of several amino acids for PSII photochemistry and herbicide sensing, the possibility to improve the specificity of whole-cell-based biosensors, via coupling herbicide-sensitive with herbicide-resistant strains, was verified.

Indexed as

Biosensing TechniquesAdaptation, PhysiologicalAmino Acid SubstitutionAtrazineChlamydomonas reinhardtiiChlorophyllElectron TransportFluorescenceFree RadicalsGenetic EngineeringHerbicidesHumansLimit of DetectionMutationNeutronsOxidative StressAtrazineChlorophyllFree RadicalsHerbicidesPhotosystem II Protein ComplexProtons

Identifiers

PMID23613953
PMCPMC3629139

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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.