![]() ![]() Postharvest Biol Technol 108:68–77Ĭarvalho DV, Santos FA, Lima RP, Viana AFSC, Fonseca SGC, Nunes PIG, Melo TS, Gallão MI, Brito ES (2018) Influence of low molecular weight compounds associated to cashew ( Anacardium occidentale L.) fiber on lipid metabolism, glycemia and insulinemia of normal mice. Funct Plant Biol 33:103–119Ĭarvajal F, Palma F, Jamilena M, Garrido D (2015) Cell wall metabolism and chilling injury during postharvest cold storage in zucchini fruit. Food Chem 105:1112–1118īrummell DA (2006) Cell wall disassembly in ripening fruit. “Vitelotte.” J Funct Foods 19:584–593īrito ES, Araújo MCP, Lin L, Harnly J (2007) Determination of the flavonoid components of cashew apple ( Anacardium occidentale L.) by LC-DAD-ESI/MS. Bioinformatics 30:2114–2120īontempo P, de Masi L, Carafa V, Rigano D, Scisciola L, Iside C, Grassi R, Molinar AM, Aversano R, Nebbioso A, Carputo D, Altucci L (2015) Anticancer activities of anthocyanin extract from genotyped Solanum tuberosum L. J R Stat Soc 57:289–300īolger AM, Lohse M, Usadel B (2014) Trimmomatic: a flexible trimmer for illumina sequence data. Food Chem 180:280–287īenjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. Bioinformatics 31:166–169īataglion GA, Silva FM, Eberlin MN, Koolen HH (2015) Determination of the phenolic composition from Brazilian tropical fruits by UHPLC–MS/MS. Accessed from Īnders S, Pyl PT, Huber W (2015) HTSeq: a Python framework to work with high throughput sequencing data. Mol Neurobiol 55:6076–6093Īndrews S (2010) FastQC: a quality control tool for high throughput sequence data. Saudi J Biol Sci 27:543–555Īli T, Kim T, Rehman SU, Khan MS, Amin FU, Khan M, Ikram M, Kim MO (2018) Natural dietary supplementation of anthocyanins via PI3K/Akt/Nrf2/HO-1 pathways mitigate oxidative stress, neurodegeneration, and memory impairment in a mouse model of Alzheimer’s disease. The information generated in this work will provide insights into transcriptome responses to cashew apple ripening and hence, it will be helpful for cashew breeding programs aimed at developing genotypes with improved quality traits.Īfzal M, Alghamdi SS, Migdadi HH, Khan MA, Mirza SB, El-Harty E (2020) Legume genomics and transcriptomics: from classic breeding to modern technologies. Finally, expression patterns of the selected genes were tested by real-time quantitative PCR (qRT-PCR), and the qRT-PCR results were consistent with transcriptome data. Moreover, genes related to flavonoid biosynthesis ( PAL, C4H and CHS) could be associated with early high accumulation of anthocyanin in red-peel peduncle of BRS 265. Then, softer peduncle of CCP 76 could be justified by down-regulated EXP and up-regulation of genes involved in pectin degradation ( PG, PL and PAE) and in cell wall biosynthesis. These genes included 71 and 34 GDEs involved in the cell wall disassembly and flavonoid biosynthesis, respectively, which could be associated with firmness loss and anthocyanin accumulation during cashew apple development. Comparative transcriptome analysis between immature and ripe cashew apple revealed 43 differentially expressed genes (DEGs) to CCP 76 and BRS 265 genotypes, respectively. In this study, we performed a transcriptome sequencing of two cashew apple genotypes (CCP 76 and BRS 265), presenting different firmness and color peel, in the immature and ripe stages. In view of this, the understanding about its transcriptional dynamics throughout ripening is imperative. ![]() During ripening, the peduncle develops different peel color and becomes quickly fragile due to its oversoftening, impacting its consumers’ acceptance. ![]() AbstractĬashew apple ( Anacardium occidentale) has a great economic importance worldwide due to its high nutritional value, peculiar flavor and aroma. We found 34 and 71 key genes potentially involved in flavonoid biosynthesis and cell wall disassembly, respectively, which could be associated with specific peel coloration and softening of each genotype. ![]()
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