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- Author or Editor: Meng Zhang x
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Late embryonic proteins (LEA) gene family was abundant mainly in higher plant embryos, which could protect the embryos from the damage caused by abiotic stress, especially drought and salt stresses. In the present study, GmLEA2-1 was cloned from soybean leaf tissue treated by 10% polyethylene glycol 6000 (PEG6000). The results of quantitative real-time PCR (qRT-PCR) revealed a variety of expression patterns of GmLEA2-1 in various tissues of soybean (root, stem, leaf, flower, pod, early embryo and late embryo). GmLEA2-1 gene shared a lower sequence similarity with other typical LEA genes of same group from different species, but similar functions. Overexpression of GmLEA2-1 in transgenic Arabidopsis thaliana conferred tolerance to drought and salt stresses. The fresh weight and dry weight of seedling, the primary root length and the lateral root density of transgenic Arabidopsis plants were higher than those of wild type Arabidopsis (WT) under drought and salt stresses. Cis-acting regulatory elements in the GmLEA2-1 promoter were also predicted. These data demonstrate that GmLEA2-1 protein play an important role in improving drought and salt tolerance in plants.
Abstract
To study the feasibility of evaluating the quality characteristics of banana based on the browning area. The texture characteristics, total soluble solids (TSS), ascorbic acid, malondialdehyde (MDA) concentrations, relative conductivity, polyphenol oxidase, peroxidase, and phenylalanine ammonia-lyase (PAL) activities in banana peels were detected during storage. A linear model was made by principal component analysis and multiple linear regression between the banana browning area and characteristic indices. The results showed that the changes in the physiological characteristics of bananas were significantly different during different storage periods. The main factors that affected the banana browning area were relative conductivity, PAL, TSS, and MDA, indicating that lipid peroxidation, respiration, and metabolism of phenylpropanoids had significant influence on the banana browning area during storage. Thus, it is feasible to predict banana quality based on changes in browning area, which could be a rapid and non-destructive detection of banana quality during storage.
