Transcriptional repressor RST1 controls salt tolerance and grain yield in rice by regulating gene expression of asparagine synthetase.

Salt stress impairs nutrient metabolism in plant cells, leading to growth and yield penalties. However, the mechanism by which plants alter their nutrient metabolism processes in response to salt stress remains elusive. In this study, we identified and characterized the rice (Oryza sativa) rice salt tolerant 1 (rst1) mutant, which displayed improved salt tolerance and grain yield. Map-based cloning revealed that the gene RST1 encoded an auxin response factor (OsARF18). Molecular analyses showed that RST1 directly repressed the expression of the gene encoding asparagine synthetase 1 (OsAS1). Loss of RST1 function increased the expression of OsAS1 and improved nitrogen (N) utilization by promoting asparagine production and avoiding excess ammonium (NH4+) accumulation. RST1 was undergoing directional selection during domestication. The superior haplotype RST1Hap III decreased its transcriptional repression activity and contributed to salt tolerance and grain weight. Together, our findings unravel a synergistic regulator of growth and salt tolerance associated with N metabolism and provide a new strategy for the development of tolerant cultivars.

Comparison of leaf transcriptome in response to Rhizoctonia solani infection between resistant and susceptible rice cultivars.

BACKGROUND: Sheath blight (SB), caused by Rhizoctonia solani, is a common rice disease worldwide. Currently, rice cultivars with robust resistance to R. solani are still lacking. To provide theoretic basis for molecular breeding of R. solani-resistant rice cultivars, the changes of transcriptome profiles in response to R. solani infection were compared between a moderate resistant cultivar (Yanhui-888, YH) and a susceptible cultivar (Jingang-30, JG). RESULTS: In the present study, 3085 differentially express genes (DEGs) were detected between the infected leaves and the control in JG, with 2853 DEGs in YH. A total of 4091 unigenes were significantly upregulated in YH than in JG before infection, while 3192 were significantly upregulated after infection. Further analysis revealed that YH and JG showed similar molecular responses to R. solani infection, but the responses were earlier in JG than in YH. Expression levels of trans-cinnamate 4-monooxygenase (C4H), ethylene-insensitive protein 2 (EIN2), transcriptome factor WRKY33 and the KEGG pathway plant-pathogen interaction were significantly affected by R. solani infection. More importantly, these components were all over-represented in YH cultivar than in JG cultivar before and/or after infection. CONCLUSIONS: These genes possibly contribute to the higher resistance of YH to R. solani than JG and were potential target genes to molecularly breed R. solani-resistant rice cultivar.

Influential nodes identification using network local structural properties.

With the rapid development of information technology, the scale of complex networks is increasing, which makes the spread of diseases and rumors harder to control. Identifying the influential nodes effectively and accurately is critical to predict and control the network system pertinently. Some existing influential nodes detection algorithms do not consider the impact of edges, resulting in the algorithm effect deviating from the expected. Some consider the global structure of the network, resulting in high computational complexity. To solve the above problems, based on the information entropy theory, we propose an influential nodes evaluation algorithm based on the entropy and the weight distribution of the edges connecting it to calculate the difference of edge weights and the influence of edge weights on neighbor nodes. We select eight real-world networks to verify the effectiveness and accuracy of the algorithm. We verify the infection size of each node and top-10 nodes according to the ranking results by the SIR model. Otherwise, the Kendall [Formula: see text] coefficient is used to examine the consistency of our algorithm with the SIR model. Based on the above experiments, the performance of the LENC algorithm is verified.

Microfluidic sensor integrated with nanochannel liquid conjunct Ag/AgCl reference electrode for trace Pb(II) measurement.

Pollution due to heavy metals is becoming increasingly hazardous; therefore, demand for the large-scale deployment of sensor nodes for water quality monitoring has increased. The development of integrated and miniaturised sensors for detecting heavy metals is necessary. Herein, an integrated microfluidic sensor based on a "glass-silicon-glass" sandwich structure is proposed for Pb2+ detection. This micro-sensor consists of a nanochannel liquid conjunct Ag/AgCl reference electrode(RE), a working electrode with a three-dimensional Au micropillar array, and a detection chamber for sample measurement. The potential fluctuation of the RE in this sensor was only 0.62% over seven days, remaining relatively stable. Under optimal conditions, the limit of detection and sensitivity for lead were 0.13 µg L-1 (S/N = 3) and 52.30 nA (µg L-1)-1, respectively. The linearity of the sensor for detecting lead was good in the concentration range of 0.50-150 µg L-1 (R2 = 0.9989). Moreover, the proposed microsensor showed high selectivity for Pb2+ and achieved sensitive detection of trace Pb2+ in different water samples. Therefore, this integrated and miniaturised sensor is a practical tool for trace lead detection, allowing the development of large scale sensor network for water monitoring.

Correction to: Molecular mapping of a novel male-sterile gene msNJ in soybean [Glycine max (L.) Merr.].

The Acknowledgement section of the original publication gave a wrong grant number. The correct Acknowledgement should read.

Molecular mapping of a novel male-sterile gene msNJ in soybean [Glycine max (L.) Merr.].

Nuclear male sterility (NMS) is a potential characteristic in crop recurrent selection and hybrid breeding. Mapping of nuclear male-sterile genes is key to utilizing NMS. Previously, we discovered a spontaneous soybean (Glycine max [L.] Merr.) male-sterile female-fertile mutant NJS-13H, which was conferred by a single recessive gene, designated msNJ. In this study, the msNJ was mapped to Chromosome 10 (LG O), and narrowed down between two SSR (simple sequence repeats) markers, BARCSOYSSR_10_794 and BARCSOYSSR_10_819 using three heterozygote-derived segregating populations, i.e., (NJS-13H × NN1138-2)F2, (NJS-13H × N2899)F2 and (NJS-13H)SPAG (segregating populations in advanced generations). This region spans approximately 1.32 Mb, where 27 genes were annotated according to the soybean reference genome sequence (Wm82.a2.v1). Among them, four genes were recognized as candidate genes for msNJ. Comparing to the physical locations of all the known male-sterile loci, msNJ is demonstrated to be a new male-sterile locus. This result may help the utilization and cloning of the gene.

Comparative Transcriptome Analysis between the Cytoplasmic Male Sterile Line NJCMS1A and Its Maintainer NJCMS1B in Soybean (Glycine max (L.) Merr.).

BACKGROUND: The utilization of soybean heterosis is probably one of the potential approaches in future yield breakthrough as was the situation in rice breeding in China. Cytoplasmic male sterility (CMS) plays an important role in the production of hybrid seeds. However, the molecular mechanism of CMS in soybean remains unclear. RESULTS: The comparative transcriptome analysis between cytoplasmic male sterile line NJCMS1A and its near-isogenic maintainer NJCMS1B in soybean was conducted using Illumina sequencing technology. A total of 88,643 transcripts were produced in Illumina sequencing. Then 56,044 genes were obtained matching soybean reference genome. Three hundred and sixty five differentially expressed genes (DEGs) between NJCMS1A and NJCMS1B were screened by threshold, among which, 339 down-regulated and 26 up-regulated in NJCMS1A compared to in NJCMS1B. Gene Ontology (GO) annotation showed that 242 DEGs were annotated to 19 functional categories. Clusters of Orthologous Groups of proteins (COG) annotation showed that 265 DEGs were classified into 19 categories. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that 46 DEGs were assigned to 33 metabolic pathways. According to functional and metabolic pathway analysis combined with reported literatures, the relations between some key DEGs and the male sterility of NJCMS1A were discussed. qRT-PCR analysis validated that the gene expression pattern in RNA-Seq was reliable. Finally, enzyme activity assay showed that energy supply was decreased in NJCMS1A compared to in NJCMS1B. CONCLUSIONS: We concluded that the male sterility of NJCMS1A might be related to the disturbed functions and metabolism pathways of some key DEGs, such as DEGs involved in carbohydrate and energy metabolism, transcription factors, regulation of pollen development, elimination of reactive oxygen species (ROS), cellular signal transduction, and programmed cell death (PCD) etc. Future research will focus on cloning and transgenic function validation of possible candidate genes associated with soybean CMS.