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Proteomic analysis of peach fruit mesocarp softening and chilling injury using difference gel electrophoresis (DIGE)

Identifieur interne : 001A08 ( Main/Exploration ); précédent : 001A07; suivant : 001A09

Proteomic analysis of peach fruit mesocarp softening and chilling injury using difference gel electrophoresis (DIGE)

Auteurs : Ricardo Nilo [Chili] ; Carlos Saffie [Chili] ; Kathryn Lilley [Royaume-Uni] ; Ricardo Baeza-Yates [Chili] ; Ver Nica Cambiazo [Chili] ; Reinaldo Campos-Vargas [Chili] ; Mauricio González [Chili] ; Lee A. Meisel [Chili] ; Julio Retamales [Chili] ; Herman Silva [Chili] ; Ariel Orellana [Chili]

Source :

RBID : PMC:2822761

Abstract

Background

Peach fruit undergoes a rapid softening process that involves a number of metabolic changes. Storing fruit at low temperatures has been widely used to extend its postharvest life. However, this leads to undesired changes, such as mealiness and browning, which affect the quality of the fruit. In this study, a 2-D DIGE approach was designed to screen for differentially accumulated proteins in peach fruit during normal softening as well as under conditions that led to fruit chilling injury.

Results

The analysis allowed us to identify 43 spots -representing about 18% of the total number analyzed- that show statistically significant changes. Thirty-nine of the proteins could be identified by mass spectrometry. Some of the proteins that changed during postharvest had been related to peach fruit ripening and cold stress in the past. However, we identified other proteins that had not been linked to these processes. A graphical display of the relationship between the differentially accumulated proteins was obtained using pairwise average-linkage cluster analysis and principal component analysis. Proteins such as endopolygalacturonase, catalase, NADP-dependent isocitrate dehydrogenase, pectin methylesterase and dehydrins were found to be very important for distinguishing between healthy and chill injured fruit. A categorization of the differentially accumulated proteins was performed using Gene Ontology annotation. The results showed that the 'response to stress', 'cellular homeostasis', 'metabolism of carbohydrates' and 'amino acid metabolism' biological processes were affected the most during the postharvest.

Conclusions

Using a comparative proteomic approach with 2-D DIGE allowed us to identify proteins that showed stage-specific changes in their accumulation pattern. Several proteins that are related to response to stress, cellular homeostasis, cellular component organization and carbohydrate metabolism were detected as being differentially accumulated. Finally, a significant proportion of the proteins identified had not been associated with softening, cold storage or chilling injury-altered fruit before; thus, comparative proteomics has proven to be a valuable tool for understanding fruit softening and postharvest.


Url:
DOI: 10.1186/1471-2164-11-43
PubMed: 20082721
PubMed Central: 2822761


Affiliations:


Links toward previous steps (curation, corpus...)


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<name sortKey="Retamales, Julio" sort="Retamales, Julio" uniqKey="Retamales J" first="Julio" last="Retamales">Julio Retamales</name>
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<name sortKey="Orellana, Ariel" sort="Orellana, Ariel" uniqKey="Orellana A" first="Ariel" last="Orellana">Ariel Orellana</name>
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<title level="j">BMC Genomics</title>
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<sec>
<title>Background</title>
<p>Peach fruit undergoes a rapid softening process that involves a number of metabolic changes. Storing fruit at low temperatures has been widely used to extend its postharvest life. However, this leads to undesired changes, such as mealiness and browning, which affect the quality of the fruit. In this study, a 2-D DIGE approach was designed to screen for differentially accumulated proteins in peach fruit during normal softening as well as under conditions that led to fruit chilling injury.</p>
</sec>
<sec>
<title>Results</title>
<p>The analysis allowed us to identify 43 spots -representing about 18% of the total number analyzed- that show statistically significant changes. Thirty-nine of the proteins could be identified by mass spectrometry. Some of the proteins that changed during postharvest had been related to peach fruit ripening and cold stress in the past. However, we identified other proteins that had not been linked to these processes. A graphical display of the relationship between the differentially accumulated proteins was obtained using pairwise average-linkage cluster analysis and principal component analysis. Proteins such as endopolygalacturonase, catalase, NADP-dependent isocitrate dehydrogenase, pectin methylesterase and dehydrins were found to be very important for distinguishing between healthy and chill injured fruit. A categorization of the differentially accumulated proteins was performed using Gene Ontology annotation. The results showed that the 'response to stress', 'cellular homeostasis', 'metabolism of carbohydrates' and 'amino acid metabolism' biological processes were affected the most during the postharvest.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Using a comparative proteomic approach with 2-D DIGE allowed us to identify proteins that showed stage-specific changes in their accumulation pattern. Several proteins that are related to response to stress, cellular homeostasis, cellular component organization and carbohydrate metabolism were detected as being differentially accumulated. Finally, a significant proportion of the proteins identified had not been associated with softening, cold storage or chilling injury-altered fruit before; thus, comparative proteomics has proven to be a valuable tool for understanding fruit softening and postharvest.</p>
</sec>
</div>
</front>
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<name sortKey="Giovannoni, J" uniqKey="Giovannoni J">J Giovannoni</name>
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<name sortKey="Retamales, Julio" sort="Retamales, Julio" uniqKey="Retamales J" first="Julio" last="Retamales">Julio Retamales</name>
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<name sortKey="Silva, Herman" sort="Silva, Herman" uniqKey="Silva H" first="Herman" last="Silva">Herman Silva</name>
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<name sortKey="Lilley, Kathryn" sort="Lilley, Kathryn" uniqKey="Lilley K" first="Kathryn" last="Lilley">Kathryn Lilley</name>
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