Bacterial wilt (BW) caused by Ralstonia solanacearum (R. solanacearum), is a vascular disease affecting diverse solanaceous crops and causing tremendous damage to crop production. However, our knowledge of the mechanism underlying its resistance or susceptibility is very limited. In this study, we characterized the physiological differences and compared the defense-related transcriptomes of two tobacco varieties, 4411-3 (highly resistant, HR) and K326 (moderately resistant, MR), after R. solanacearum infection at 0, 10, and 17 days after inoculation (dpi). A total of 3967 differentially expressed genes (DEGs) were identified between the HR and MR genotypes under mock condition at three time points, including1395 up-regulated genes in the HR genotype and 2640 up-regulated genes in the MR genotype. Also, 6,233 and 21,541 DEGs were induced in the HR and MR genotypes after R. solanacearum infection, respectively. Furthermore, GO and KEGG analyses revealed that DEGs in the HR genotype were related to the cell wall, starch and sucrose metabolism, glutathione metabolism, ABC transporters, endocytosis, glycerolipid metabolism, and glycerophospholipid metabolism. The defense-related genes generally showed genotype-specific regulation and expression differences after R. solanacearum infection. In addition, genes related to auxin and ABA were dramatically up-regulated in the HR genotype. The contents of auxin and ABA in the MR genotype were significantly higher than those in the HR genotype after R. solanacearum infection, providing insight into the defense mechanisms of tobacco. Altogether, these results clarify the physiological and transcriptional regulation of R. solanacearum resistance infection in tobacco, and improve our understanding of the molecular mechanism underlying the plant-pathogen interaction.
The recycling of macromolecular biowastes has been a problem for the agriculture industry. In this study, a novel N, S-codoped activated carbon material with an ultrahigh specific area was produced for the application of a supercapacitor electrode, using tobacco stalk biowastes as the carbon source, KOH as the activating agents and thiourea as the doping agent. Tobacco stalk is mainly composed of cellulose, but also contains many small molecules and inorganic salts. KOH activation resulted in many mesopores, giving the tobacco stem-activated carbon a large specific surface area and double-layer capacitance. The specific surface area of the samples reached up to 3733 m2·g−1, while the maximum specific capacitance of the samples obtained was up to 281.3 F·g−1 in the 3-electrode tests (1 A·g−1). The doping of N and S elements raised the specific capacitance significantly, which could be increased to a value as high as 422.5 F·g−1 at a current density of 1 A·g−1 in the 3-electrode tests, but N, S-codoping also led to instability. The results of this article prove that tobacco stalks could be efficiently reused in the field of supercapacitors.
Tobacco is an important cash crop and an ideal experimental system for studies of plant-pathogen interactions. Identification of tobacco resistance (R) genes and resistance gene analogs (RGAs) is propitious to elucidate the underlying resistant mechanisms. In recent years, the public tobacco EST (expressed sequence tags) data set, which provides a rich source for identifying expressed RGAs, has enlarged substantially. In this study, 149606 Uni-ESTs were assembled from 412325 tobacco ESTs available in GenBank, scanned with 112 published plant R-genes protein sequences, and 1113 Nicotiana (tobacco) RGAs (NtRGAs) were identified. The majority of them comprised the common R-genes domains, such as NBS-LRR, LRR-PK, LRR, PK and Mlo, while we were unable to identify 109 RGAs using published domains of R-genes. Upon sequence alignment, 1079 NtRGAs were allocated on 712 loci within the Nicotiana benthamiana genome. A total of 78 simple sequence repeats (SSRs) were identified from 72 NtRGAs, and out of 64 newly designed primer pairs, 54 primer pairs generated clear bands upon PCR amplification using tobacco genomic DNA. Only nine primer pairs displayed polymorphism in 24 varieties of tobacco, with 2-4 alleles per locus (2.56 alleles on average), while 41 primer pairs were able to detect polymorphisms in six wild species of genus Nicotiana, with 2-4 alleles per locus (2.61 alleles on average).
Infrared imaging detection technology has been widely used. In the process of using infrared images for target observation, a large amount of typical target infrared radiation characteristic data is needed as infrared reference information to eliminate interference factors such as environment, time period, and false targets to achieve accurate target identification. The acquisition of typical target infrared radiation characteristic data is to use infrared characteristic measurement equipment to accurately measure the measured target under various external environments and conditions, and finally form the available target infrared radiation characteristic data through data analysis and arrangement. Since infrared target characteristic data needs to be acquired in the field, these devices generally have the characteristics of working environment in the field environment, multiple types of measurement targets, long measurement distance and wide measurement space. Therefore, in order to eliminate the influence of external environmental factors and accurately obtain the infrared characteristics of the target, it is necessary to calibrate the key parameters of the large-aperture infrared characteristics measurement equipment on the test site. However, there is currently no field calibration capability for large-aperture infrared characteristic measurement equipment, which has a negative impact on the application of infrared imaging detection systems. In order to solve the above problems, this paper develops a large-aperture long-focus optical system in an external field environment, which mainly includes a high-temperature standard infrared radiation source, a large-aperture off-axis primary mirror, a secondary mirror, and a target. After the development was completed, it was applied in the external field environment to calibrate a certain high-resolution infrared characteristic measurement equipment, and the relevant data were analyzed. The analysis results show that the uniformity measurement uncertainty is better than 0.4K (k=2), the distortion measurement uncertainty is better than 1% (k=2). And a good application effect is achieved.
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