The multidrug and toxin extrusion (MATE) transporter family comprises 70 members in the Medicago truncatula genome, and they play seemingly important, yet mostly uncharacterized, physiological functions. Here, we employed bioinformatics and molecular genetics to identify and characterize MATE transporters involved in citric acid export, Al tolerance and Fe translocation. MtMATE69 is a citric acid transporter induced by Fe-deficiency. Overexpression of MtMATE69 in hairy roots altered Fe homeostasis and hormone levels under Fe-deficient or Fe-oversupplied conditions. MtMATE66 is a plasma membrane citric acid transporter primarily expressed in root epidermal cells. The mtmate66 mutant had less root growth than the wild type under Al stress, and seedlings were chlorotic under Fe-deficient conditions. Overexpression of MtMATE66 rendered hairy roots more tolerant to Al toxicity. MtMATE55 is involved in seedling development and iron homeostasis, as well as hormone signaling. The mtmate55 mutant had delayed development and chlorotic leaves in mature plants. Both knock-out and overexpression mutants of MtMATE55 showed altered Fe accumulation and abnormal hormone levels compared with the wild type. We demonstrate that the zinc-finger transcription factor MtSTOP is essentially required for MtMATE66 expression and plant resistance to H and Al toxicity. The proper expression of two previously characterized MATE flavonoid transporters MtMATE1 and MtMATE2 also depends on several transcription factors. This study reveals not only functional diversity of MATE transporters and regulatory mechanisms in legumes against H and Al stresses, but also casts light on their role in metal nutrition and hormone signaling under various stresses.

BackgroundSpecies in the Solanaceae family are known for producing plethora of specialized metabolites. In addition to biosynthesis pathways, a full comprehension of secondary metabolism must also take into account the transport and subcellular compartmentalization of substances. Here, we examined the MATE (Multidrug and Toxic Compound Extrusion, or Multi-Antimicrobial Extrusion) gene family in the tomato (Solanum lycopersicum) genome with the objective of better understanding the transport of secondary metabolites in this model species. MATE membrane effluxers encompass an ancient gene family of secondary transporters present in all kingdoms of life, but with a remarkable expansion in plants. They mediate the transport of primary and secondary metabolites using the proton motive force through several membrane systems of the cell.ResultsWe identified 67 genes coding for MATE transporters in the tomato genome, 33 of which are expressed constitutively whereas 34 are expressed in specific cell types or environmental conditions. Synteny analyses revealed bona fide paralogs and Arabidopsis orthologs. Co-expression analysis between MATE and regulatory genes revealed 78 positive and 8 negative strong associations (ρ≥|0.8|). We found no evidence of MATE transporters belonging to known metabolic gene clusters in tomato.ConclusionsAltogether, our expression data, phylogenetic analyses, and synteny study provide strong evidence of functional homologies between MATE genes of tomato and Arabidopsis thaliana. Our co-expression study revealed potential transcriptional regulators of MATE genes that warrant further investigation. This work sets the stage for genome-wide functional analyses of MATE transporters in tomato and other Solanaceae species of economic relevance.Electronic supplementary materialThe online version of this article (10.1186/s12870-017-1115-2) contains supplementary material, which is available to authorized users.

In this study, genomic DNA was screened from Halobacillus andaensis NEAU-ST10-40T by selection in Escherichia coli KNabc lacking three major Na+/H+ antiporters. One gene designated upf0118 exhibiting Na+(Li+)/H+ antiport activity was finally cloned. Protein alignment showed that UPF0118 shares the highest identity of 81.5% with an unannotated gene encoding a protein with uncharacterized protein function belonging to UPF0118 family from H. kuroshimensis, but shares no identity with all known specific Na+(Li+)/H+ antiporter genes or genes with Na+(Li+)/H+ antiport activity. Growth test, western blot and Na+(Li+)/H+ antiport assay revealed that UPF0118 as a transmembrane protein exhibits pH-dependent Na+(Li+)/H+ antiport activity. Phylogenetic analysis indicated that UPF0118 clustered with all its homologs belonging to UPF0118 family at a wide range of 22–82% identities with the bootstrap value of 92%, which was significantly distant with all known specific single-gene Na+(Li+)/H+ antiporters and single-gene proteins with the Na+(Li+)/H+ antiport activity. Taken together, we propose that UPF0118 should represent a novel class of Na+(Li+)/H+ antiporter. To the best of our knowledge, this is the first report on the functional analysis of a protein with uncharacterized protein function as a representative of UPF0118 family containing the domain of unknown function, DUF20.

Terpenes and their derivatives are important biomarkers of grape quality as they contribute to the flavor and aroma of grapes. However, the molecular basis of terpene biosynthesis throughout the grapevine phenological developmental cycle remains elusive. Our current study investigates the free and bound terpene biosynthesis of berries at different phenological stages from preveraison to harvest. Detailed gene expression (transcriptomics) analysis, terpenoid volatile production by gas chromatography–mass spectrometry (GC–MS), and in planta transient expression were employed. Our results show that concentrations of most individual terpenes at different stages are distinctive and increase from preveraison to the veraison stage followed by a decrease from veraison to maturity. The combined transcriptomic analysis and terpene profiling revealed that 22 genes belonging to the MEP pathway and multiple classes of transcription factor family members including bHLH and several hormone biosynthesis- or signaling-related genes likely participate in the regulation of terpenoid biosynthesis according to their specific expression patterns in berries. Quantitative real-time polymerase chain expression analysis of 8 key differentially expressed genes in MEP pathways and further 12 randomly selected genes was performed during 8 sampling stages and validated the RNA-seq-derived expression profiles. To further confirm the function of a subset of the differentially expressed genes, we investigated the effects of combined overexpression of 1-deoxy-d-xylulose-5-phosphate synthase (VvDXS1-LOC100249323), 1-deoxy-d-xylulose-5-phosphate reductoisomerase (VvDXR-LOC100248516), and terpene synthase (VvTPS56-LOC100266449) on the production of terpenes by transient overexpression in Nicotiana benthamiana leaves. The overall developmental patterns of total terpenes and gene expression profiles will help guide the functional analyses of further candidate genes important for terpene biosynthesis of grape as well as identifying the master transcriptional and hormonal regulators of this pathway in the future.

To efficiently improve the accuracy of hyperspectral image (HSI) classification, the spatial information is usually fused with spectral information so that the classification performance can be enhanced. In this paper, we propose a new classification method called wavelet transform-based smooth ordering (WTSO). WTSO consists of three main components: wavelet transform for feature extraction, spectral–spatial based similarity measurement, smooth ordering based 1D embedding, and construction of final classifier using interpolation scheme. Specifically, wavelet transform is first imposed to decompose the HSI signal into approximate coefficients (ACs) and details coefficients (DCs). Then, to measure the similar level of pairwise samples, a novel metric is defined on the ACs, where the spatial information serves as the prior knowledge. Next, according to the measurement results, smooth ordering is applied so that the samples are aligned in a 1D space (called 1D embedding). Finally, since the reordering samples are smooth, the labels of test samples can be recovered using the simple 1D interpolation method. In the last step, in order to reduce the bias and improve accuracy, the final classifier is constructed using multiple 1D embeddings. The use of wavelet transform in WTSO can also reduce the high dimensionality of HSI data. By converting the hight-dimensional samples into a 1D ordering sequence, WTSO can reduce the computational cost, and simultaneously perform classification for the test samples. Note that in WTSO, the smooth ordering based 1D embedding and interpolation are executed in an iterative manner. And they will be terminated after finite steps. The proposed method is experimentally demonstrated on two real HSI datasets: IndianPines and University of Pavia, achieving promising results.