Evidence map›Paper›PMID 33413072›Full record

ArticleBMC genomics2021

Shotgun proteomics of peach fruit reveals major metabolic pathways associated to ripening.

Ricardo Nilo-Poyanco, Carol Moraga, Gianfranco Benedetto, Ariel Orellana, Andrea Miyasaka Almeida

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. 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
3.8field-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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Proteomic analysis to unravel the biochemical mechanisms triggered by Bacillus toyonensis SFC 500-1E under chromium(VI) and phenol stress.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2023
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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

5 authors at 3 institutions in 3 countries.

Ricardo Nilo-PoyancoEscuela de Biotecnología, Facultad de Ciencias, Universidad Mayor, Camino La Pirámide, 5750, Huechuraba, Chile.
Carol MoragaUniversité Claude Bernard Lyon 1, 69622, Villeurbanne, France.
Gianfranco BenedettoCentro de Biotecnología Vegetal, Facultad Ciencias Biológicas, Universidad Andrés Bello, República 330, Santiago, Chile.
Ariel OrellanaCentro de Biotecnología Vegetal, Facultad Ciencias Biológicas, Universidad Andrés Bello, República 330, Santiago, Chile.
Andrea Miyasaka AlmeidaCentro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Camino La Pirámide, 5750, Huechuraba, Chile. andrea.miyasaka@umayor.cl.ORCID http://orcid.org/0000-0002-5848-0874
Universidad Andrés Bello · CLUniversidad Mayor · CLUniversité Claude Bernard Lyon 1 · FR

Funding

Fondo Nacional de Desarrollo Científico y Tecnológico 11150107Fondo Nacional de Desarrollo Científico y Tecnológico 1130197Fondo Nacional de Desarrollo Científico y Tecnológico 1201010
6 · The paper itself

Abstract

backgroundFruit ripening in Prunus persica melting varieties involves several physiological changes that have a direct impact on the fruit organoleptic quality and storage potential. By studying the proteomic differences between the mesocarp of mature and ripe fruit, it would be possible to highlight critical molecular processes involved in the fruit ripening.

resultsTo accomplish this goal, the proteome from mature and ripe fruit was assessed from the variety O'Henry through shotgun proteomics using 1D-gel (PAGE-SDS) as fractionation method followed by LC/MS-MS analysis. Data from the 131,435 spectra could be matched to 2740 proteins, using the peach genome reference v1. After data pre-treatment, 1663 proteins could be used for comparison with datasets assessed using transcriptomic approaches and for quantitative protein accumulation analysis. Close to 26% of the genes that code for the proteins assessed displayed higher expression at ripe fruit compared to other fruit developmental stages, based on published transcriptomic data. Differential accumulation analysis between mature and ripe fruit revealed that 15% of the proteins identified were modulated by the ripening process, with glycogen and isocitrate metabolism, and protein localization overrepresented in mature fruit, as well as cell wall modification in ripe fruit. Potential biomarkers for the ripening process, due to their differential accumulation and gene expression pattern, included a pectin methylesterase inhibitor, a gibbellerin 2-beta-dioxygenase, an omega-6 fatty acid desaturase, a homeobox-leucine zipper protein and an ACC oxidase. Transcription factors enriched in NAC and Myb protein domains would target preferentially the genes encoding proteins more abundant in mature and ripe fruit, respectively.

conclusionsShotgun proteomics is an unbiased approach to get deeper into the proteome allowing to detect differences in protein abundance between samples. This technique provided a resolution so that individual gene products could be identified. Many proteins likely involved in cell wall and sugar metabolism, aroma and color, change their abundance during the transition from mature to ripe fruit.

Indexed as

Prunus persicaFruitGene Expression Regulation, PlantMetabolic Networks and PathwaysPlant ProteinsProteomicsPlant ProteinsFruit ripeningProteomeRosaceae

Identifiers

PMID33413072
PMCPMC7788829
OpenAlexW3120491047

What OpenQuestion holds

Textmetadata
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.