Proteome and metabolome of Annona crassiflora Mart. fruit and their interaction during development

• Ribosomal, transcriptional and post-translational proteins prevail in the early fruit. • GATA, MADS-Box, MYB, F-box and HD-Zip are transcription factors identified in marolo. • Proteins of the vitamin C and carotenogenic pathway were highlighted. • Related to alcohol dehydrogenases, esters are the main volatiles of marolo. Marolo ( Annona crassiflora Mart.) is an exotic fruit from the Brazilian Cerrado, rich in various bioactive compounds. This unprecedented study analyzed through different techniques (spectrophotometric methods, UPLC, HS-SPME-GC–MS) the proteomic and metabolic changes in four distinct stages of development, their biochemical correlations, biological processes and how proteins are dynamized promoting such processes and biosynthetic pathways. Among the four stages, 993 proteins were identified and 45 metabolites were quantified. At the beginning of development there is a greater presence of ribosomal, transcriptional and post-translational proteins, to increase the protein synthetic machinery that must coordinate the other biological processes essential for development. The families of transcription factors GATA, MADS-Box, MYB, F-box and HD-Zip were identified, which are likely coordinators of the biological processes of marolo together with phytohormones. At the ripe stage, there is an increase in the accumulation of some cellulases to intensify the softening of the fruit, and the antioxidant system of marolo presented a mostly constant behavior, in order to control the steady states of the naturally produced reactive oxygen species. Several proteins identified are related to the detected metabolites, with emphasis on the production and regeneration of vitamin C and the carotenogenic pathway. The volatile profile of marolo was related to the action of some enzymes and the supremacy of volatile esters. Therefore, proteomics in conjunction with metabolomics allowed us to have a molecular view of how compounds and proteins are produced during marolo development and how the behavior of proteins appears to influence biological processes and pathways.

Authors

Institutions

Publication Details

Journal
Scientia Horticulturae
Published
2024-11-28
DOI
https://doi.org/10.1016/j.scienta.2024.113809
Citations
9
Primary Topic
Traditional and Medicinal Uses of Annonaceae
Type
article
Field-Weighted Citation Impact
2.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proteome and metabolome of Annona crassiflora Mart. fruit and their interaction during development

Carlos Alexandre Rocha da Costa, Elisângela Elena Nunes Carvalho, Eduardo Valério de Barros Vilas Boas, Sidney Vasconcelos do Nascimento et al.
9 citations
Scientia Horticulturae
Traditional and Medicinal Uses of Annonaceae
2.65
article

Proteome and metabolome of Annona crassiflora Mart. fruit and their interaction during development

Carlos Alexandre Rocha da Costa, Elisângela Elena Nunes Carvalho, Eduardo Valério de Barros Vilas Boas, Sidney Vasconcelos do Nascimento, Rafael Borges da Silva Valadares, Gilson Gustavo Lucinda Machado, Carlos Henrique Milagres Ribeiro, Alice de Paula de Sousa Cavalcante, Sayure Mariana Raad Nahon, Luiz José Rodrigues, G. Souza, Luíz Guilherme Malaquias da Silva
article en
9 citations

Abstract

• Ribosomal, transcriptional and post-translational proteins prevail in the early fruit. • GATA, MADS-Box, MYB, F-box and HD-Zip are transcription factors identified in marolo. • Proteins of the vitamin C and carotenogenic pathway were highlighted. • Related to alcohol dehydrogenases, esters are the main volatiles of marolo. Marolo ( Annona crassiflora Mart.) is an exotic fruit from the Brazilian Cerrado, rich in various bioactive compounds. This unprecedented study analyzed through different techniques (spectrophotometric methods, UPLC, HS-SPME-GC–MS) the proteomic and metabolic changes in four distinct stages of development, their biochemical correlations, biological processes and how proteins are dynamized promoting such processes and biosynthetic pathways. Among the four stages, 993 proteins were identified and 45 metabolites were quantified. At the beginning of development there is a greater presence of ribosomal, transcriptional and post-translational proteins, to increase the protein synthetic machinery that must coordinate the other biological processes essential for development. The families of transcription factors GATA, MADS-Box, MYB, F-box and HD-Zip were identified, which are likely coordinators of the biological processes of marolo together with phytohormones. At the ripe stage, there is an increase in the accumulation of some cellulases to intensify the softening of the fruit, and the antioxidant system of marolo presented a mostly constant behavior, in order to control the steady states of the naturally produced reactive oxygen species. Several proteins identified are related to the detected metabolites, with emphasis on the production and regeneration of vitamin C and the carotenogenic pathway. The volatile profile of marolo was related to the action of some enzymes and the supremacy of volatile esters. Therefore, proteomics in conjunction with metabolomics allowed us to have a molecular view of how compounds and proteins are produced during marolo development and how the behavior of proteins appears to influence biological processes and pathways.

Scientia HorticulturaeVol. 339
Universidade Federal de Lavras (BR), Universidade Federal de Mato Grosso (BR), Vale Technological Institute (BR)
Zero hunger
Openalex Percentile: Top 10%
Traditional and Medicinal Uses of Annonaceae
2.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.