Nutrients in ‘Opal’ apples and key metabolites in delayed browning of their pulps were analyzed based on comparative omics
DOI:
https://doi.org/10.5327/fst.95622Palavras-chave:
apple, UHPLC-LTQ-Orbitrap MS, non-targeted metabolome, qualityResumo
The ‘Opal’ apple, a crossbreed between the ‘Topaz’ and ‘Golden Delicious’ varieties, has a unique crunchy, a tangy flavor, slow browning rate that can keep long-lasting freshness after being sliced up. With ‘Fuji’ apples as reference controls, the content of mineral elements, and their key metabolites in the pulps of two kinds of apples were analyzed to clarify nutritional properties and slow browning features in ‘Opal’ apples. In this study, the differential metabolites of the two cultivars of apple were statistically analyzed with the differential principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) using UHPLC-LTQ-Orbitrap MS, combined with non-targeted metabolomics technology, to identify the key differential metabolites in the two varieties of apple. The results showed that there was a total of 147 significantly differential metabolites in 10 categories, of which phenylpropanoids and polyketides account for the highest proportion, Through KEGG pathway analysis, the differential compounds in the two apple cultivars were annotated into 52 pathways, and they were significantly enriched in the two pathways ABC transporters and Flavonoid biosynthesis. The results can lay a theoretical basis for researches on apple quality and provide data support for the indepth development of different apple products.
Downloads
Referências
Bai, Q., Shen, Y., & Huang, Y. (2021). Advances in Mineral Nutrition Transport and Signal Transduction in Rosaceae Fruit Quality and Postharvest Storage. Frontiers in Plant Science, 12, 620018. https://doi.org/10.3389/fpls.2021.620018
Bajwa, V. S., Shukla, M. R., Sherif, S. M., Murch, S. J., & Saxena, P. K. (2015). Identification and characterization of serotonin as an anti-browning compound of apple and pear. Postharvest Biology and Technology, 110, 183–189. https://doi.org/10.1016/j.postharvbio.2015.08.018
Ban, Q., Liu, T., Ning, K., Fan, J., Cui, Q., Guo, Y., & Zai, X. (2021). Effect of calcium treatment on the browning of harvested eggplant fruits and its relation to the metabolisms of reactive oxygen species (ROS) and phenolics. Food Science & Nutrition, 9(10), 5567–5574. https://doi.org/10.1002/fsn3.2517
Ceci, A. T., Bassi, M., Guerra, W., Oberhuber, M., Robatscher, P., Mattivi, F., & Franceschi, P. (2021). Metabolomic Characterization of Commercial, Old, and Red-Fleshed Apple Varieties. Metabolites, 11(6), 378. https://doi.org/10.3390/metabo11060378
Cui, M.-C., Chen, S.-J., Wang, H.-H., Li, Z.-H., Chen, H.-J., Chen, Y., Zhou, H.-B., Li, X., & Chen, J.-W. (2018). Metabolic profiling investigation of Fritillaria thunbergii Miq. By gas chromatography–mass spectrometry. Journal of Food and Drug Analysis, 26(1), 337–347. https://doi.org/10.1016/j.jfda.2016.10.003
Deutch, C. E. (2018). Browning in apples: Exploring the biochemical basis of an easily-observable phenotype: Polyphenol oxidase, substrates, and browning in apples. Biochemistry and Molecular Biology Education, 46(1), 76–82. https://doi.org/10.1002/bmb.21083
Ding, R., Che, X., Shen, Z., & Zhang, Y. (2021). Metabolome and transcriptome profiling provide insights into green apple peel reveals light- and UV-B-responsive pathway in anthocyanins accumulation. BMC Plant Biology, 21(1), 351. https://doi.org/10.1186/s12870-021-03121-3
Fotirić Akšić, M., Dabić Zagorac, D., Gašić, U., Tosti, T., Natić, M., & Meland, M. (2022). Analysis of Apple Fruit (Malus × domestica Borkh.) Quality Attributes Obtained from Organic and Integrated Production Systems. Sustainability, 14(9), 5300. https://doi.org/10.3390/su14095300
Ge Y.-Q., Li H.-F., Wang C.-Y., Wei X.-X., Su J., & Dong S.-S. (2021). Status and Sustainable Development Proposals of Apple Industry in China. Modern Food, 11, 4-6. doi:10.16736/j.cnki.cn41-1434/ts.2021.11.002
Gong, Y., Song, J., Palmer, L. C., Vinqvist-Tymchuk, M., Fillmore, S., Toivonen, P., & Zhang, Z. (2021). Tracking the development of the superficial scald disorder and effects of treatments with diphenylamine and 1-MCP using an untargeted metabolomic approach in apple fruit. Food Chemistry: Molecular Sciences, 2, 100022. https://doi.org/10.1016/j.fochms.2021.100022
Guodong, R., Xiaoxia, L., Weiwei, Z., Wenjun, W., & Jianguo, Z. (2017). Metabolomics reveals variation and correlation among different tissues of olive ( Olea europaea L.). Biology Open, bio.025585. https://doi.org/10.1242/bio.025585
Ján, M., & Ivana, M. (2018). Changes in the levels of selected organic acids and sugars in apple juice after cold storage. Czech Journal of Food Sciences, 36(2), 175–180. https://doi.org/10.17221/165/2017-CJFS
Jandrić, Z., Roberts, D., Rathor, M. N., Abrahim, A., Islam, M., & Cannavan, A. (2014). Assessment of fruit juice authenticity using UPLC–QToF MS: A metabolomics approach. Food Chemistry, 148, 7–17. https://doi.org/10.1016/j.foodchem.2013.10.014
Jorge, T. F., Rodrigues, J. A., Caldana, C., Schmidt, R., van Dongen, J. T., Thomas-Oates, J., & António, C. (2016). Mass spectrometry-based plant metabolomics: Metabolite responses to abiotic stress: MASS SPECTROMETRY-BASED PLANT METABOLOMICS. Mass Spectrometry Reviews, 35(5), 620–649. https://doi.org/10.1002/mas.21449
Karaaslan, S., & Ekinci, K. (2022). Effect of pretreatments on solar dehydration of different varieties of apple (Malus domestica). Czech Journal of Food Sciences, 40(2), 93–101. https://doi.org/10.17221/201/2021-CJFS
Liao, L., Zhang, W., Zhang, B., Cai, Y., Gao, L., Ogutu, C., Sun, J., Zheng, B., Wang, L., Li, L., & Han, Y. (2021). Evaluation of chlorogenic acid accumulation in cultivated and wild apples. Journal of Food Composition and Analysis, 104, 104156. https://doi.org/10.1016/j.jfca.2021.104156
Liu, H., Cao, J., & Jiang, W. (2015). Evaluation of physiochemical and antioxidant activity changes during fruit on-tree ripening for the potential values of unripe peaches. Scientia Horticulturae, 193, 32–39. https://doi.org/10.1016/j.scienta.2015.06.045
Liu, X., Zhao, Y., Mu, J., Zhang, J., & Zhang, A. (2021). Determination of geographical origin of concentrated apple juice through analysis of stable isotopic and mineral elemental fingerprints: Preliminary results. Journal of the Science of Food and Agriculture, 101(9), 3795–3803. https://doi.org/10.1002/jsfa.11012
Liu, Y., Chen, N., Ma, Z., Che, F., Mao, J., & Chen, B. (2016). The Changes in Color, Soluble Sugars, Organic Acids, Anthocyanins and Aroma Components in “Starkrimson” during the Ripening Period in China. Molecules, 21(6), 812. https://doi.org/10.3390/molecules21060812
Lu, X., Zhang, L., Huang, W., Zhang, S., Zhang, S., Li, F., Zhang, H., Sun, R., Zhao, J., & Li, G. (2022). Integrated Volatile Metabolomics and Transcriptomics Analyses Reveal the Influence of Infection TuMV to Volatile Organic Compounds in Brassica rapa. Horticulturae, 8(1), 57. https://doi.org/10.3390/horticulturae8010057
Martínez Bueno, M. J., Díaz-Galiano, F. J., Rajski, Ł., Cutillas, V., & Fernández-Alba, A. R. (2018). A non-targeted metabolomic approach to identify food markers to support discrimination between organic and conventional tomato crops. Journal of Chromatography A, 1546, 66–76. https://doi.org/10.1016/j.chroma.2018.03.002
Medveckienė, B., Kulaitienė, J., Vaitkevičienė, N., Levickienė, D., & Bunevičienė, K. (2022). Effect of Harvesting in Different Ripening Stages on the Content of the Mineral Elements of Rosehip (Rosa spp.) Fruit Flesh. Horticulturae, 8(6), 467. https://doi.org/10.3390/horticulturae8060467
Menbari, A., Bahramnejad, B., Abuzaripoor, M., Shahmansouri, E., & Zarei, M. A. (2021). Establishment of callus and cell suspension cultures of Granny Smith apple fruit and antityrosinase activity of their extracts. Scientia Horticulturae, 286, 110222. https://doi.org/10.1016/j.scienta.2021.110222
Musacchi, S., & Serra, S. (2018). Apple fruit quality: Overview on pre-harvest factors. Scientia Horticulturae, 234, 409–430. https://doi.org/10.1016/j.scienta.2017.12.057
Pollini, L., Juan-García, A., Blasi, F., Mañes, J., Cossignani, L., & Juan, C. (2022). Assessing bioaccessibility and bioavailability in vitro of phenolic compounds from freeze-dried apple pomace by LC-Q-TOF-MS. Food Bioscience, 48, 101799. https://doi.org/10.1016/j.fbio.2022.101799
Raza, A. (2022). Metabolomics: A systems biology approach for enhancing heat stress tolerance in plants. Plant Cell Reports, 41(3), 741–763. https://doi.org/10.1007/s00299-020-02635-8
Shi, J., Wang, S., Tong, R., Wang, S., Chen, Y., Wu, W., He, F., Wan, R., Jian, Z., Hu, Q., & Zheng, X. (2022). Widely targeted secondary metabolomics explored pomegranate aril browning during cold storage. Postharvest Biology and Technology, 186, 111839. https://doi.org/10.1016/j.postharvbio.2022.111839
Smanalieva, J., Iskakova, J., Oskonbaeva, Z., Wichern, F., & Darr, D. (2021). Correction to: Investigation of nutritional characteristics and free radical scavenging activity of wild apple, pear, rosehip, and barberry from the walnut-fruit forests of Kyrgyzstan. European Food Research and Technology, 247(8), 2125–2125. https://doi.org/10.1007/s00217-021-03799-7
Sumner, L. W., Lei, Z., Nikolau, B. J., & Saito, K. (2015). Modern plant metabolomics: Advanced natural product gene discoveries, improved technologies, and future prospects. Natural Product Reports, 32(2), 212–229. https://doi.org/10.1039/C4NP00072B
Táborský, J., Sus, J., Lachman, J., Šebková, B., Adamcová, A., & Šatínský, D. (2021). Dynamics of Phloridzin and Related Compounds in Four Cultivars of Apple Trees during the Vegetation Period. Molecules, 26(13), 3816. https://doi.org/10.3390/molecules26133816
Tang, T., Xie, X., Ren, X., Wang, W., Tang, X., Zhang, J., & Wang, Z. (2020). A difference of enzymatic browning unrelated to PPO from physiology, targeted metabolomics and gene expression analysis in Fuji apples. Postharvest Biology and Technology, 170, 111323. https://doi.org/10.1016/j.postharvbio.2020.111323
Uttl, L., Hurkova, K., Kocourek, V., Pulkrabova, J., Tomaniova, M., & Hajslova, J. (2019). Metabolomics-based authentication of wines according to grape variety. Czech Journal of Food Sciences, 37(4), 239–245. https://doi.org/10.17221/82/2019-CJFS
Wang, H., Wang, S., Fan, M.-M., Zhang, S.-H., Sun, L.-L., & Zhao, Z.-Y. (2021). Metabolomic insights into the browning of the peel of bagging ‘Rui Xue’ apple fruit. BMC Plant Biology, 21(1), 209. https://doi.org/10.1186/s12870-021-02974-y
Xia D.-F., & Shi C.-H. (2020). Ningxia region in Shandong Province to study the research report of the forest fruit industry. Deciduous Fruits, 22–24, doi:10.13855/j.cnki.lygs.2020.01.008
Xie, X., Tang, T., Wang, W., Tang, X., Zhang, J., & Wang, Z. (2021). Metabolomics clarify the compounds contributing to the quality of apples among different regions in China. Journal of Food Processing and Preservation, 45(1). https://doi.org/10.1111/jfpp.15054
Xu, L., Wang, L., Xu, Z., Zhang, X., Zhang, Z., & Qian, Y. (2021). Physicochemical quality and metabolomics comparison of the green food apple and conventional apple in China. Food Research International, 139, 109804. https://doi.org/10.1016/j.foodres.2020.109804
Xu, L., Xu, Z., Wang, X., Wang, B., & Liao, X. (2020). The application of pseudotargeted metabolomics method for fruit juices discrimination. Food Chemistry, 316, 126278. https://doi.org/10.1016/j.foodchem.2020.126278
Zhang, J., Yang, D., Li, M., & Shi, L. (2016). Metabolic Profiles Reveal Changes in Wild and Cultivated Soybean Seedling Leaves under Salt Stress. PLOS ONE, 11(7), e0159622. https://doi.org/10.1371/journal.pone.0159622
Zhang, J., Yu, Q., Cheng, H., Ge, Y., Liu, H., Ye, X., & Chen, Y. (2018). Metabolomic Approach for the Authentication of Berry Fruit Juice by Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry Coupled to Chemometrics. Journal of Agricultural and Food Chemistry, 66(30), 8199–8208. https://doi.org/10.1021/acs.jafc.8b01682
Zhao, Y., & Yin, J. (2018). Effects of Pichia guilliermondii and Hot Air Treatment on the Postharvest Preservation of Red Fuji Apple Quality Attributes. Journal of Food Protection, 81(2), 186–194. https://doi.org/10.4315/0362-028X.JFP-17-244
Zheng, P., Zhang, M., Fang, X., Tang, L., Wang, Z., & Shi, F. (2022). Analysis of the Fruit Quality of Pear (Pyrus spp.) Using Widely Targeted Metabolomics. Foods, 11(10), 1440. https://doi.org/10.3390/foods11101440