摘要：
Pre-planting technique is proven as the practical cultivation way of tobacco with the advantages of lower cost, higher operability and reliable survival rate. Some studies have focused on using tobacco genes to reflect the physiological changes caused by pre-planting treatment. In this study, a comprehensive metabolic profile of tobacco roots was discovered by comparing floating seedlings treatment and pre-planting treatments. A total of 5,080 proteins were identified in the roots of tobacco and 361 proteins were considered to be differentially expressed. Among these 361 proteins, 342 were up-regulated and 19 were down-regulated. Differentially expressed functional proteins including heat shock proteins (HSPs), glutathione-, glycerol kinase (GK), tyrosine-protein kinase (TK), serine/threonine protein kinase-like protein kinases (STK) and peroxiredoxin were significantly higher than floating seedlings technique. Most of these were involved in signal transmission, metabolism, stress and defense. Parallel reaction monitoring (PRM) analyses indicated the reliability of the proteomic results. The present study provided differential modulation of pathways by pre-planting treatment. In conclusion, pre-planting technique promoted tobacco root growth due to differentially expressed functional proteins involved in signal transmission, plant metabolism, stress tolerance and defense system. (C) 2019 Friends Science Publishers
摘要：
A Gram-stain-positive, motile, rod-shaped bacterial strain, YN-1(T), was isolated from a rice field in the town of Jietou, Yunnan Province, PR China. Colonies were circular, 1-2 mm in diameter, creamy white, with slightly irregular margins. The isolate grew optimally at 37 degrees C, pH 7.0 and with 1.0 % (w/v) NaCl. On the basis of the results of 16S rRNA gene sequence similarity comparisons, YN-1(T) clustered together with other species of the genus Bacillus and showed highest similarities with Bacillus onubensis 0911MAR22V3(T) (98.0 %), Bacillus humi LMG22167(T) (97.5 %), 'Bacillus timonensis' 10403023 (97.4 %) and 'Bacillussinesaloumensis' P3516 (97.1 %). However, the DNA-DNA hybridization values between YN-1(T) and closely related strains of species of the genus Bacillus were well below 47 %, indicating that they represent different taxa. The average nucleotide identity and the Genome-to-Genome Distance Calculator also revealed low relatedness (below 95 and 70 %, respectively) between YN-1(T) and type strains of closely related species of the genus Bacillus. The DNA G+C content of the strain was 40 mol%. The major cellular fatty acids were iso-C15 : 0, anteiso-C15 : 0, and C16 : 0. The polar lipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, two unidentified phospholipids, three unidentified aminophospholipids and two other unidentified lipids. Physiological and biochemical test results were also different from those of the most closely related species. On the basis of the phenotypic, genetic and chemotaxonomic data, strain YN-1(T) is considered to represent a novel species of the genus Bacillus, for which the name Bacillusaciditolerans sp. nov. is proposed, with strain YN-1(T) (=CCTCC AB 2017280(T)=JCM 32973(T)) as the type strain.
摘要：
Calibration model transfer has played a prominent role in the practical application of NIR spectral analysis. The change of instruments and sample physical states may lead to variation of the NIR spectrum, which results in the applicability of the model in judicatory practice being unsatisfactory. Therefore, a transfer for the calibration model considering both the variation of instruments and sample states is a necessity to ensure its availability. In this paper, a novel approach, namely canonical correlation analysis coupled with wavelet transform (WTCCA), was proposed for calibration transfer between two near infrared spectrometers (a portable and a laboratory instrument), and simultaneously, among three physical states (tobacco powder, tobacco filament and intact leaf) to determine the content of total sugars, reducing sugars, and nicotine in tobacco leaf samples, respectively. Wavelet transform (WT) is introduced to reduce noise and deduct background shifts from the spectra by compression, and then, calibration transfer by canonical correlation analysis (CTCCA) extracts the compressed spectral similarities using canonical scores for spectra correction. Three similar standardization algorithms, including piecewise direct standardization (PDS), piecewise direct standardization with wavelet transform (WTPDS), and CTCCA were compared with WTCCA to evaluate its relative performance. The obtained results showed that the employment of WTCCA yielded the lowest root mean standard error of prediction (RMSEP) on the three analytes in three physical states. For the tobacco powder dataset, the RMSEP values had a reduction of 25.83%, 13.96%, and 14.22% compared with the values of direct prediction without spectra transfer, respectively. For the tobacco filament dataset, the corresponding values were decreased by 18.06%, 14.90%, and 13.61% and for the intact leaf dataset, the values had dropped by 10.70%, 18.21%, and 28.21%, respectively. In summary, the comprehensive investigation carried out in the present work shows that WTCCA is very appropriate for correcting the variations caused by the change of machines and sample states. Furthermore, WTCCA is a promising calibration transfer method which can be recommended for on-line/in-line application.
