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Malate accumulation in the vacuole largely determines apple () fruit acidity, and low fruit acidity is strongly associated with truncation of , an ortholog of () in Arabidopsis (). A mutation at base 1,455 in the open reading frame of leads to a premature stop codon that truncates the protein by 84 amino acids at its C-terminal end. Here, we report that both the full-length protein, Ma1, and its naturally occurring truncated protein, ma1, localize to the tonoplast; when expressed in oocytes and cells, Ma1 mediates a malate-dependent inward-rectifying current, whereas the ma1-mediated transmembrane current is much weaker, indicating that ma1 has significantly lower malate transport activity than Ma1. RNA interference suppression of expression in 'McIntosh' apple leaves, 'Empire' apple fruit, and 'Orin' apple calli results in a significant decrease in malate level. Genotyping and phenotyping of 186 apple accessions from a diverse genetic background of 17 species combined with the functional analyses described above indicate that Ma1 plays a key role in determining fruit acidity and that the truncation of Ma1 to ma1 is genetically responsible for low fruit acidity in apple. Furthermore, we identified a C-terminal domain conserved in all tonoplast-localized ALMTs essential for Ma1 function; protein truncations into this conserved domain significantly lower Ma1 transport activity. We conclude that the truncation of Ma1 to ma1 reduces its malate transport function by removing a conserved C-terminal domain, leading to low fruit acidity in apple.
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http://dx.doi.org/10.1104/pp.19.01300 | DOI Listing |
Physiol Plant
September 2025
Plant BioSystems, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
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View Article and Find Full Text PDFJ Food Sci
September 2025
Faculty of Computing, Federal University of Uberlandia, Uberlândia, Brazil.
The coffee roasting process is a critical factor in determining the final quality of the beverage, influencing its flavour, aroma, and acidity. Traditionally, roast-level classification has relied on manual inspection, which is time-consuming, subjective, and prone to inconsistencies. However, advancements in machine learning (ML) and computer vision, particularly convolutional neural networks (CNNs), have shown great promise in automating and improving the accuracy of this process.
View Article and Find Full Text PDFFood Res Int
November 2025
College of Food Science, Southwest University, 2 Tiansheng Road, Beibei, Chongqing 400715, PR China. Electronic address:
Huajiao seeds represent an underutilized high-quality woody oilseed resource rich in unsaturated fatty acids and diverse nutritional factors. This study investigated the quality characteristics and digestive behavior of two Huajiao seed oils (Zanthoxylum bungeanum seed oil (ZBSO) and Zanthoxylum schinifolium seed oil (ZSSO)). The results demonstrated that both oils were rich in unsaturated fatty acids, with ZBSO containing 76.
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November 2025
Brewing Technology Industrial College, Hubei University of Arts and Science, Xiangyang, Hubei Province 441053, PR China; Hubei Provincial Engineering and Technology Research Center for Food Ingredients, Hubei University of Arts and Science, Xiangyang, Hubei Province 441053, PR China; Xiangyang Lacti
Houhuo Daqu (HHD) exhibits significant heterogeneity between its core and peel layers, yet their differences remain underexplored. This study integrates metagenomic sequencing and electronic sensory technologies to compare the physicochemical properties, microbial communities, and flavor profiles of HHD's core and peel. Results reveal distinct microbial communities and diversity between the layers.
View Article and Find Full Text PDFFood Res Int
November 2025
College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China; Key Laboratory of Environment Correlative Dietology, Ministry of Education, PR China; Hubei Key Laboratory of Fruit & Vegetable Processing & Quality Control (Huazhong Agricultural University), Wuhan, Hu
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