Evidence map›Paper›PMID 39720059›Full record

ArticleHeliyon2024

Identification of potential molecular markers for detection of lengthy chilled storage of

Giulia Franzoni, Antonella Muto, Leonardo Bruno, Maria Letizia Madeo, Tiziana Maria Sirangelo, Adriana Ada Ceverista Chiappetta, Maria Beatrice Bitonti, Carsten T Müller, Antonio Ferrante, Hilary J Rogers and 1 more

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Giulia FranzoniDepartment of Agricultural and Environmental Sciences, University of Milan, Milan, Italy.
Antonella MutoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, Cosenza, Italy.
Leonardo BrunoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, Cosenza, Italy.
Maria Letizia MadeoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, Cosenza, Italy.
Tiziana Maria SirangeloENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development-Division Biotechnologies and Agroindustry, 00123 Rome, Italy.
Adriana Ada Ceverista ChiappettaDepartment of Biology, Ecology and Earth Sciences, University of Calabria, Cosenza, Italy.
Maria Beatrice BitontiDepartment of Biology, Ecology and Earth Sciences, University of Calabria, Cosenza, Italy.
Carsten T MüllerSchool of Biosciences, Cardiff University, Cardiff, United Kingdom.
Antonio FerranteDepartment of Agricultural and Environmental Sciences, University of Milan, Milan, Italy.
Hilary J RogersSchool of Biosciences, Cardiff University, Cardiff, United Kingdom.
Natasha Damiana SpadaforaDepartment of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, 44121 Ferrara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low temperature is the main strategy to preserve fruit quality post-harvest, in the supply chain. Low temperatures reduce the respiration, ethylene emission, and enzymatic activities associated with senescence. Unfortunately, peaches are sensitive to low temperatures if exposed for long periods, resulting in physiological disorders that can compromise commercial quality. Maximum damage occurs at 5 °C while at 1 °C damage is reduced. Therefore, rapid early detection methods for the distribution chain to monitor length and temperature of fruit storage are needed. The aim of this work was to identify candidate genes to develop an antibody-based marker system in peach fruit to monitor chilled storage. Two cultivars were tested: 'Sagittaria', an early ripening peach, and 'Big Top' a mid-season ripening nectarine, with delayed softening and resistance to supply-chain conditions. Both cultivars were subjected to 1 or 5 °C chilled storage for different times to simulate typical supply-chain conditions. Identification and expression of potential marker genes was assessed using a previous transcriptomic study following storage at 1 °C. Fifteen candidate genes were selected, however only seven proteins encoded were suitable as protein markers as they lack a transmembrane domain. Real-time qPCR using fruit from the subsequent year to the transcriptome was used to assess expression at both 1 and 5 °C chilled storage of five candidate genes. Four genes and the related proteins were identified that would be suitable for the development of molecular markers: a Pathogenesis-Related Bet v I family protein, a dehydrin, a Glycosyl hydrase family 18 protein and a Late Embryogenesis abundant protein.

Indexed as

Cold storageELISA testGene expressionMolecular markersPrunus persica L

Identifiers

PMID39720059
PMCPMC11667614

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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.