Arabidopsis nucleoporin NUP96 mediates plant salt tolerance by modulating the transcription of salt-responsive genes.

MAIN CONCLUSION: Physiological and molecular tests show that NUP96 plays an important role in the plant response to salt stress, resulting from the reprogramming of transcriptomic profiles, which are likely to be mediated by the influence on the nuclear/cytosol shuttling of the key regulators of salt tolerance. As a key component of the nuclear pore complex (NPC), nucleoporin 96 (NUP96) is critical for modulating plant development and interactions with environmental factors, but whether NUP96 is involved in the salt response is still unknown. Here, we analyzed the role of Arabidopsis NUP96 under salt stress. The loss-of-function mutant nup96 exhibited salt sensitivity in terms of rosette growth and root elongation, and showed attenuated capacity in maintaining ion and ROS homeostasis, which could be compensated for by the overexpression of NUP96. RNA sequencing revealed that many salt-responsive genes were misregulated after NUP96 mutation, and especially NUP96 is required for the expression of a large portion of salt-induced genes. This is likely correlated with the activity in facilitating nuclear/cytosol transport of the underlying regulators in salt tolerance such as the transcription factor ATAP2, targeted by eight downregulated genes in nup96 under salt stress. Our results illustrate that NUP96 plays an important role in the salt response, probably by regulating the nucleocytoplasmic shuttling of key mRNAs or proteins associated with plant salt responsiveness.

Structure and Ecological Function of Fungal Endophytes from Stems of Different Mulberry Cultivars.

To explore the microbial community structure and ecological function of mulberry and their potential relationship with the resistance of mulberry, the community structure and function of endophytic fungi in 18 mulberry cultivars were analyzed and predicted by using high-throughput sequencing technology and the FUNGuild database. A total of 352 operational taxonomic units of fungi were observed at a 97% similarity level, representing six phyla of fungi, Fungi_unclassified, Ascomycota, Basidiomycota, Zygomycota, Rozellomycota, and Chytridiomycota. Fungi_unclassified was dominant, and Ascomycota was relatively dominant in all cultivars. At the genus level, Ascomycota_unclassified was dominant, and Ampelomyces was relatively dominant, with a richness in TAIWANCHANGGUOSANG 16.47-8975.69 times that in the other cultivars. Classified Ascomycota_unclassified was 4.75-296.65 times more common in NANYUANSIJI than in the other cultivars. Based on the FUNGuild analysis method, we successfully annotated six nutrient types, namely, pathotroph, pathotroph-saprotroph, pathotroph-saprotroph-symbiotroph, saprotroph, saprotroph-symbiotroph, and symbiotroph, among which saprophytic-symbiotic accounted for the largest proportion and was absolutely dominant in TWC. This research suggests that community composition differs among cultivars and that the diversity and richness of endophytic fungi in resistant cultivars are higher than those in susceptible cultivars. The ecological functions of cultivars with different resistances are quite different.

Non-destructive detection of protein content in mulberry leaves by using hyperspectral imaging.

Protein content is one of the most important indicators for assessing the quality of mulberry leaves. This work is carried out for the rapid and non-destructive detection of protein content of mulberry leaves using hyperspectral imaging (HSI) (Specim FX10 and FX17, Spectral Imaging Ltd., Oulu, Finland). The spectral range of the HSI acquisition system and data processing methods (pretreatment, feature extraction, and modeling) is compared. Hyperspectral images of three spectral ranges in 400-1,000 nm (Spectral Range I), 900-1,700 nm (Spectral Range II), and 400-1,700 nm (Spectral Range III) were considered. With standard normal variate (SNV), Savitzky-Golay first-order derivation, and multiplicative scatter correction used to preprocess the spectral data, and successive projections algorithm (SPA), competitive adaptive reweighted sampling, and random frog used to extract the characteristic wavelengths, regression models are constructed by using partial least square and least squares-support vector machine (LS-SVM). The protein content distribution of mulberry leaves is visualized based on the best model. The results show that the best results are obtained with the application of the model constructed by combining SNV with SPA and LS-SVM, showing an R 2 of up to 0.93, an RMSE of just 0.71 g/100 g, and an RPD of up to 3.83 based on the HSI acquisition system of 900-1700 nm. The protein content distribution map of mulberry leaves shows that the protein of healthy mulberry leaves distributes evenly among the mesophyll, with less protein content in the vein of the leaves. The above results show that rapid, non-destructive, and high-precision detection of protein content of mulberry leaves can be achieved by applying the SWIR HSI acquisition system combined with the SNV-SPA-LS-SVM algorithm.

Non-destructive prediction and visualization of anthocyanin content in mulberry fruits using hyperspectral imaging.

Being rich in anthocyanin is one of the most important physiological traits of mulberry fruits. Efficient and non-destructive detection of anthocyanin content and distribution in fruits is important for the breeding, cultivation, harvesting and selling of them. This study aims at building a fast, non-destructive, and high-precision method for detecting and visualizing anthocyanin content of mulberry fruit by using hyperspectral imaging. Visible near-infrared hyperspectral images of the fruits of two varieties at three maturity stages are collected. Successive projections algorithm (SPA), competitive adaptive reweighted sampling (CARS) and stacked auto-encoder (SAE) are used to reduce the dimension of high-dimensional hyperspectral data. The least squares-support vector machine and extreme learning machine (ELM) are used to build models for predicting the anthocyanin content of mulberry fruit. And genetic algorithm (GA) is used to optimize the major parameters of models. The results show that the higher the anthocyanin content is, the lower the spectral reflectance is. 15, 7 and 13 characteristic variables are extracted by applying CARS, SPA and SAE respectively. The model based on SAE-GA-ELM achieved the best performance with R2 of 0.97 and the RMSE of 0.22 mg/g in both the training set and testing set, and it is applied to retrieve the distribution of anthocyanin content in mulberry fruits. By applying SAE-GA-ELM model to each pixel of the mulberry fruit images, distribution maps are created to visualize the changes in anthocyanin content of mulberry fruits at three maturity stages. The overall results indicate that hyperspectral imaging, in combination with SAE-GA-ELM, can help achieve rapid, non-destructive and high-precision detection and visualization of anthocyanin content in mulberry fruits.

Overexpression of an aquaporin gene EsPIP1;4 enhances abiotic stress tolerance and promotes flowering in Arabidopsis thaliana.

Aquaporins are water channel proteins that play an essential role in plant growth and development. Despite extensive functional characterization of aquaporins in model plants such as Arabidopsis, their contributions to abiotic stress tolerance in non-model plants are still poorly understood. As a close relative of Arabidopsis thaliana, Eutrema salsugineum is an excellent model for studying salt tolerance. Here, we identified and functionally characterized EsPIP1;4, a gene encoding a plasma membrane intrinsic protein (PIP) aquaporin in E. salsugineum. Overexpression of EsPIP1;4 in Arabidopsis improved seed germination and root growth of transgenic plants under abiotic stress, which was accompanied by an increase in proline accumulation, reduction in MDA, and decrease in the rate of ion leakage. Under abiotic stress, transgenic plants overexpressing EsPIP1;4 also showed increased antioxidant enzyme activity, and enhanced K+/Na+ ratio compared to control plants. Furthermore, overexpression of EsPIP1;4 promoted flowering by regulating genes in multiple flowering pathways. Together, our results demonstrated that an aquaporin from E. salsugineum improves abiotic stress tolerance and promotes flowering.