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Dive into the research topics where Kim Buts is active.

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Featured researches published by Kim Buts.


BMC Plant Biology | 2014

Transcriptomic events associated with internal browning of apple during postharvest storage

Ifigeneia Mellidou; Kim Buts; Darwish Hatoum; Quang Tri Ho; Jason W. Johnston; Christopher B. Watkins; Robert J. Schaffer; Nigel E. Gapper; James J. Giovannoni; David R. Rudell; Maarten Hertog; Bart Nicolai

BackgroundPostharvest ripening of apple (Malus x domestica) can be slowed down by low temperatures, and a combination of low O2 and high CO2 levels. While this maintains the quality of most fruit, occasionally storage disorders such as flesh browning can occur. This study aimed to explore changes in the apple transcriptome associated with a flesh browning disorder related to controlled atmosphere storage using RNA-sequencing techniques. Samples from a browning-susceptible cultivar (‘Braeburn’) were stored for four months under controlled atmosphere. Based on a visual browning index, the inner and outer cortex of the stored apples was classified as healthy or affected tissue.ResultsOver 600 million short single-end reads were mapped onto the Malus consensus coding sequence set, and differences in the expression profiles between healthy and affected tissues were assessed to identify candidate genes associated with internal browning in a tissue-specific manner. Genes involved in lipid metabolism, secondary metabolism, and cell wall modifications were highly modified in the affected inner cortex, while energy-related and stress-related genes were mostly altered in the outer cortex. The expression levels of several of them were confirmed using qRT-PCR. Additionally, a set of novel browning-specific differentially expressed genes, including pyruvate dehydrogenase and 1-aminocyclopropane-1-carboxylate oxidase, was validated in apples stored for various periods at different controlled atmosphere conditions, giving rise to potential biomarkers associated with high risk of browning development.ConclusionsThe gene expression data presented in this study will help elucidate the molecular mechanism of browning development in apples at controlled atmosphere storage. A conceptual model, including energy-related (linked to the tricarboxylic acid cycle and the electron transport chain) and lipid-related genes (related to membrane alterations, and fatty acid oxidation), for browning development in apple is proposed, which may be relevant for future studies towards improving the postharvest life of apple.


Journal of Proteomics | 2014

Improving the identification rate of data independent label-free quantitative proteomics experiments on non-model crops: a case study on apple fruit.

Kim Buts; Servaas Michielssens; Maarten Hertog; Eisuke Hayakawa; Jan Cordewener; Antoine H.P. America; Bart Nicolai; Sebastien Carpentier

UNLABELLED Complex peptide extracts from non-model crops are troublesome for proper identification and quantification. To increase the identification rate of label free DIA experiments of Braeburn apple a new workflow was developed where a DDA database was constructed and linked to the DIA data. At a first level, parent masses found in DIA were searched in the DDA database based on their mass to charge ratio and retention time; at a second level, masses of fragmentation ions were compared for each of the linked spectrum. Following this workflow, a tenfold increase of peptides was identified from a single DIA run. As proof of principle, the designed workflow was applied to determine the changes during a storage experiment, achieving a two-fold identification increase in the number of significant peptides. The corresponding protein families were divided into nine clusters, representing different time profiles of changes in abundances during storage. Up-regulated protein families already show a glimpse of important pathways affecting aging during long-term storage, such as ethylene synthesis, and responses to abiotic stresses and their influence on the central metabolism. BIOLOGICAL SIGNIFICANCE Proteomics research on non-model crops causes additional difficulties in identifying the peptides present in, often complex, samples. This work proposes a new workflow to retrieve more identifications from a set of quantitative data, based on linking DIA and DDA data at two consecutive levels. As proof of principle, a storage experiment on Braeburn apple resulted in twice as much identified storage related peptides. Important proteins involved in central metabolism and stress are significantly up-regulated after long term storage. This article is part of a Special Issue entitled: Proteomics of non-model organisms.


Journal of the Science of Food and Agriculture | 2016

Influence of pre-harvest calcium, potassium and triazole application on the proteome of apple at harvest

Kim Buts; Maarten Hertog; Quang Tri Ho; Antoine H.P. America; Jan Cordewener; Jef Vercammen; Sebastien Carpentier; Bart Nicolai

BACKGROUND Braeburn browning disorder is a storage disease characterised by flesh browning and lens-shaped cavities. The incidence of this postharvest disorder is known to be affected by pre-harvest application of fertilisers and triazole-based fungicides. Recent work has shown that calcium and potassium reduced the incidence of Braeburn browning disorder, while triazoles had the opposite effect. This study addresses the hypothesis of an early proteomic imprint in the apple fruit at harvest induced by the pre-harvest factors applied. If so, this could be used for an early screening of apple fruit at harvest for their postharvest susceptibility to flesh browning. RESULTS Calcium and triazole had significant effects, while potassium did not. One hundred and thirty protein families were identified, of which 29 were significantly altered after calcium and 63 after triazole treatment. Up-regulation of important antioxidant enzymes was correlated with calcium fertilisation, while triazole induced alterations in the levels of respiration and ethylene biosynthesis related proteins. CONCLUSION Pre-harvest fertiliser and fungicide application had considerable effects on the apple proteome at harvest. These changes, together with the applied storage conditions will determine whether or not BBD develops.


Archive | 2014

Hypoxic Storage of Fruit

Quang Tri Ho; Kim Buts; Els Herremans; Maarten Hertog; Pieter Verboven; Bart Nicolai

Controlled and modified atmosphere storage are popular technologies to extend the storage life of fruit and vegetables, and pome fruit in particular. They aim at lowering the respiratory activity of the product by reducing and increasing the O2 and CO2 partial pressures, respectively, in addition to applying a low temperature. The optimal gas composition is critical, as a too low O2 partial pressure in combination with a too high CO2 partial pressure may induce off-flavours and storage disorders in the fruit. In this chapter, we will investigate the physiological processes in fruit exposed to hypoxic conditions during controlled or modified atmosphere storage. We will pay particular attention to storage disorders that may develop as a consequence of severe hypoxia.


Horticultural Science | 2018

Effects of pre- and postharvest factors on browning in Braeburn

Darwish Hatoum; Kim Buts; Maarten Hertog; Annemie Geeraerd; Ann Schenk; Jef Vercammen; Bart Nicolai


Acta Horticulturae | 2015

Browning of Apple Cortex during CA Storage: A Proteomics Approach

Kim Buts; Darwish Hatoum; Maarten Hertog; Bart Nicolai; Sebastien Carpentier


Acta Horticulturae | 2015

IN SEARCH OF BIOMARKERS FOR BROWNING IN APPLE: A PROTEOMICS APPROACH

Kim Buts; Maarten Hertog; Bart Nicolai; Sebastien Carpentier


Archive | 2014

Label free quantitative proteomics of a complex eukaryote via LC MSMS: data independent analysis (DIA) or data dependent analysis (DDA) ?

Kim Buts; Maarten Hertog; Bart Nicolai; Sebastien Carpentier


Archive | 2013

Improving the identification rate of data independent label-free quantitative analysis: A proteomics case study on apple fruit

Kim Buts; Servaas Michielssens; Eisuke Hayakawa; Maarten Hertog; Bart Nicolai; Sebastien Carpentier


Archive | 2012

Label free quantitative analysis of non-model crops: A tool to improve the identification rate of data independent analysis’

Kim Buts; Servaas Michielssens; Eisuke Hayakawa; Twan America; Maarten Hertog; Bart Nicolai; Sebastien Carpentier

Collaboration


Dive into the Kim Buts's collaboration.

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Maarten Hertog

Katholieke Universiteit Leuven

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Bart Nicolai

Katholieke Universiteit Leuven

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Sebastien Carpentier

Katholieke Universiteit Leuven

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Darwish Hatoum

Katholieke Universiteit Leuven

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Jan Cordewener

Wageningen University and Research Centre

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Eisuke Hayakawa

Katholieke Universiteit Leuven

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Quang Tri Ho

Katholieke Universiteit Leuven

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Servaas Michielssens

Katholieke Universiteit Leuven

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Antoine H.P. America

Wageningen University and Research Centre

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Ann Schenk

Katholieke Universiteit Leuven

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