Evidence map›Paper›PMID 37224108›Full record

ArticlePlant biotechnology journal2023

Engineered gamma radiation phytosensors for environmental monitoring.

Robert G Sears, Stephen B Rigoulot, Alessandro Occhialini, Britany Morgan, Tayebeh Kakeshpour, Holly Brabazon, Caitlin N Barnes, Erin M Seaberry, Brianna Jacobs, Chandler Brown and 4 more

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
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

14 authors at 1 institution in 1 country.

Robert G SearsDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Stephen B RigoulotDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Alessandro OcchialiniCenter for Agricultural Synthetic Biology, The University of Tennessee, Knoxville, Knoxville, Tennessee, USA.
Britany MorganDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Tayebeh KakeshpourDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Holly BrabazonDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Caitlin N BarnesDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Erin M SeaberryDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Brianna JacobsDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Chandler BrownDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Yongil YangDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Tayler M SchimelCenter for Agricultural Synthetic Biology, The University of Tennessee, Knoxville, Knoxville, Tennessee, USA.
Scott C LenaghanCenter for Agricultural Synthetic Biology, The University of Tennessee, Knoxville, Knoxville, Tennessee, USA.ORCID 0000-0002-7539-1726
C Neal StewartDepartment of Plant Sciences, The University of Tennessee, Knoxville, Tennessee, USA.ORCID 0000-0003-3026-9193
Knoxville College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear energy, already a practical solution for supplying energy on a scale similar to fossil fuels, will likely increase its footprint over the next several decades to meet current climate goals. Gamma radiation is produced during fission in existing nuclear reactors and thus the need to detect leakage from nuclear plants, and effects of such leakage on ecosystems will likely also increase. At present, gamma radiation is detected using mechanical sensors that have several drawbacks, including: (i) limited availability; (ii) reliance on power supply; and (iii) requirement of human presence in dangerous areas. To overcome these limitations, we have developed a plant biosensor (phytosensor) to detect low-dose ionizing radiation. The system utilizes synthetic biology to engineer a dosimetric switch into potato utilizing the plant's native DNA damage response (DDR) machinery to produce a fluorescent output. In this work, the radiation phytosensor was shown to respond to a wide range of gamma radiation exposure (10-80 Grey) producing a reporter signal that was detectable at >3 m. Further, a pressure test of the top radiation phytosensor in a complex mesocosm demonstrated full function of the system in a 'real world' scenario.

Indexed as

EcosystemPlantsEnvironmental MonitoringGamma RaysHumansDNA damage responsegamma radiationPhytosensorsynthetic biology

Identifiers

PMID37224108
PMCPMC10440981
OpenAlexW4378070964

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.