Registered in the Chinese Clinical Trial Registry (ChiCTR-ONB-15007464).

BackgroundWRKY genes encode one of the most abundant groups of transcription factors in higher plants, and its members regulate important biological process such as growth, development, and responses to biotic and abiotic stresses. Although the soybean genome sequence has been published, functional studies on soybean genes still lag behind those of other species.ResultsWe identified a total of 133 WRKY members in the soybean genome. According to structural features of their encoded proteins and to the phylogenetic tree, the soybean WRKY family could be classified into three groups (groups I, II, and III). A majority of WRKY genes (76.7%; 102 of 133) were segmentally duplicated and 13.5% (18 of 133) of the genes were tandemly duplicated. This pattern was not apparent in Arabidopsis or rice. The transcriptome atlas revealed notable differential expression in either transcript abundance or in expression patterns under normal growth conditions, which indicated wide functional divergence in this family. Furthermore, some critical amino acids were detected using DIVERGE v2.0 in specific comparisons, suggesting that these sites have contributed to functional divergence among groups or subgroups. In addition, site model and branch-site model analyses of positive Darwinian selection (PDS) showed that different selection regimes could have affected the evolution of these groups. Sites with high probabilities of having been under PDS were found in groups I, II c, II e, and III. Together, these results contribute to a detailed understanding of the molecular evolution of the WRKY gene family in soybean.ConclusionsIn this work, all the WRKY genes, which were generated mainly through segmental duplication, were identified in the soybean genome. Moreover, differential expression and functional divergence of the duplicated WRKY genes were two major features of this family throughout their evolutionary history. Positive selection analysis revealed that the different groups have different evolutionary rates. Together, these results contribute to a detailed understanding of the molecular evolution of the WRKY gene family in soybean.

BackgroundMultidrug and toxic compound extrusion (MATE) transporter proteins are present in all organisms. Although the functions of some MATE gene family members have been studied in plants, few studies have investigated the gene expansion patterns, functional divergence, or the effects of positive selection.ResultsForty-five MATE genes from rice and 56 from Arabidopsis were identified and grouped into four subfamilies. MATE family genes have similar exon-intron structures in rice and Arabidopsis; MATE gene structures are conserved in each subfamily but differ among subfamilies. In both species, the MATE gene family has expanded mainly through tandem and segmental duplications. A transcriptome atlas showed considerable differences in expression among the genes, in terms of transcript abundance and expression patterns under normal growth conditions, indicating wide functional divergence in this family. In both rice and Arabidopsis, the MATE genes showed consistent functional divergence trends, with highly significant Type-I divergence in each subfamily, while Type-II divergence mainly occurred in subfamily III. The Type-II coefficients between rice subfamilies I/III, II/III, and IV/III were all significantly greater than zero, while only the Type-II coefficient between Arabidopsis IV/III subfamilies was significantly greater than zero.A site-specific model analysis indicated that MATE genes have relatively conserved evolutionary trends. A branch-site model suggested that the extent of positive selection on each subfamily of rice and Arabidopsis was different: subfamily II of Arabidopsis showed higher positive selection than other subfamilies, whereas in rice, positive selection was highest in subfamily III. In addition, the analyses identified 18 rice sites and 7 Arabidopsis sites that were responsible for positive selection and for Type-I and Type-II functional divergence; there were no common sites between rice and Arabidopsis. Five coevolving amino acid sites were identified in rice and three in Arabidopsis; these sites might have important roles in maintaining local structural stability and protein functional domains.ConclusionsWe demonstrate that the MATE gene family expanded through tandem and segmental duplication in both rice and Arabidopsis. Overall, the results of our analyses contribute to improved understanding of the molecular evolution and functions of the MATE gene family in plants.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-016-0895-0) contains supplementary material, which is available to authorized users.

BackgroundMultiple proteins containing BURP domain have been identified in many different plant species, but not in any other organisms. To date, the molecular function of the BURP domain is still unknown, and no systematic analysis and expression profiling of the gene family in soybean (Glycine max) has been reported.ResultsIn this study, multiple bioinformatics approaches were employed to identify all the members of BURP family genes in soybean. A total of 23 BURP gene types were identified. These genes had diverse structures and were distributed on chromosome 1, 2, 4, 6, 7, 8, 11, 12, 13, 14, and 18. Phylogenetic analysis suggested that these BURP family genes could be classified into 5 subfamilies, and one of which defines a new subfamily, BURPV. Quantitative real-time PCR (qRT-PCR) analysis of transcript levels showed that 15 of the 23 genes had no expression specificity; 7 of them were specifically expressed in some of the tissues; and one of them was not expressed in any of the tissues or organs studied. The results of stress treatments showed that 17 of the 23 identified BURP family genes responded to at least one of the three stress treatments; 6 of them were not influenced by stress treatments even though a stress related cis-element was identified in the promoter region. No stress related cis-elements were found in promoter region of any BURPV member. However, qRT-PCR results indicated that all members from BURPV responded to at least one of the three stress treatments. More significantly, the members from the RD22-like subfamily showed no tissue-specific expression and they all responded to each of the three stress treatments.ConclusionsWe have identified and classified all the BURP domain-containing genes in soybean. Their expression patterns in different tissues and under different stress treatments were detected using qRT-PCR. 15 out of 23 BURP genes in soybean had no tissue-specific expression, while 17 out of them were stress-responsive. The data provided an insight into the evolution of the gene family and suggested that many BURP family genes may be important for plants responding to stress conditions.

BackgroundThe caleosin genes encode proteins with a single conserved EF hand calcium-binding domain and comprise small gene families found in a wide range of plant species. These proteins may be involved in many cellular and biological processes coupled closely to the synthesis, degradation, or stability of oil bodies. Although previous studies of this protein family have been reported for Arabidopsis and other species, understanding of the evolution of the caleosin gene family in plants remains inadequate.ResultsIn this study, comparative genomic analysis was performed to investigate the phylogenetic relationships, evolutionary history, functional divergence, positive selection, and coevolution of caleosins. First, 84 caleosin genes were identified from five main lineages that included 15 species. Phylogenetic analysis placed these caleosins into five distinct subfamilies (sub I–V), including two subfamilies that have not been previously identified. Among these subfamilies, sub II coincided with the distinct P-caleosin isoform recently identified in the pollen oil bodies of lily; caleosin genes from the same lineage tended to be clustered together in the phylogenetic tree. A special motif was determined to be related with the classification of caleosins, which may have resulted from a deletion in sub I and sub III occurring after the evolutionary divergence of monocot and dicot species. Additionally, several segmentally and tandem-duplicated gene pairs were identified from seven species, and further analysis revealed that caleosins of different species did not share a common expansion model. The ages of each pair of duplications were calculated, and most were consistent with the time of genome-wide duplication events in each species. Functional divergence analysis showed that changes in functional constraints have occurred between subfamilies I/IV, II/IV, and II/V, and some critical amino acid sites were identified during the functional divergence. Additional analyses revealed that caleosins were under positive selection during evolution, and seven candidate amino acid sites (70R, 74G, 88 L, 89G, 100 K, 106A, 107S) for positive selection were identified. Interestingly, the critical amino acid residues of functional divergence and positive selection were mainly located in C-terminal domain. Finally, three groups of coevolved amino acid sites were identified. Among these coevolved sites, seven from group 2 were located in the Ca2+-binding region of crucial importance.ConclusionIn this study, the evolutionary and expansion patterns of the caleosin gene family were predicted, and a series of amino acid sites relevant to their functional divergence, adaptive evolution, and coevolution were identified. These findings provide data to facilitate further functional analysis of caleosin gene families in the plant lineage.

The wide application of nanoparticles will lead its release into the aquatic environment, which may alter the bioavailability and toxicity of other contaminants to aquatic organisms. This work aimed to study the effects of perfluorooctane sulfonate (PFOS), single-wall carbon nanotubes (SWCNT), and their mixture on PFOS accumulation, antioxidant defenses and acetylcholinesterase (AChE) activity in zebrafish. The fish was dissected after being exposed (24, 48, 72 and 96h) separately to PFOS, SWCNT and PFOS+SWCNT co-exposure. The bioaccumulation of PFOS in fish tissues (liver, intestines, gills and brain) decreased with increasing dosage of SWCNT, however, the opposite trend was observed in fish skin, which indicated that the bioavailability of PFOS changed by adsorption on SWCNT. Meanwhile, co-exposure induced more reactive oxygen species (ROS) than PFOS alone and enhanced the effect of PFOS on the superoxide dismutase (SOD), and catalase (CAT) and AChE activities. Furthermore, the integrated biomarker response (IBR) showed that co-exposure was the most stressful circumstance.

Cereal Chem. 81(5):561-566High molecular weight glutenin subunits (HMW-GS) from three hexaploid wheat species (AABBDD, 2n=6x=42, Triticum aestivum L., T. spelta L., and T. compactum L.) were separated and identified by acidic capillary electrophoresis (A-CE) with phosphate-glycine buffer (pH 2.5) in uncoated fused-silica capillaries (50 µm, i.d. × 25.5 cm) at 12.5 kV and 40°C. The rapid separations (<15 min) of HMW-GS with good repeatability (RSD < 2%) were obtained using a fast capillary rising protocol. All 17 HMW-GS analyzed could be well separated and their relative migration orders were ranked. In particular, the good quality subunit pair 5+10 could be differentiated from poor quality subunit pair 2+12. In addition, the other three allelic pairs of 13+16, 17+18, and 7+8 subunits that were considered to have positive effects on dough properties, as well as three pairs of novel subunits 13+22

Mobile and wearable devices have enabled numerous applications, including activity tracking, wellness monitoring, and human–computer interaction, that measure and improve our daily lives. Many of these applications are made possible by leveraging the rich collection of low-power sensors found in many mobile and wearable devices to perform human activity recognition (HAR). Recently, deep learning has greatly pushed the boundaries of HAR on mobile and wearable devices. This paper systematically categorizes and summarizes existing work that introduces deep learning methods for wearables-based HAR and provides a comprehensive analysis of the current advancements, developing trends, and major challenges. We also present cutting-edge frontiers and future directions for deep learning-based HAR.