Multi-factor correlation analysis of the effect of root-promoting practices on tobacco rhizosphere microecology in growth stages

Some agronomic practices not only promote the development of crop roots and increase overall plant performance but also affect colonisation by rhizosphere microorganisms. However, the composition and temporal dynamics of the tobacco rhizosphere microbiota under different root-promoting practices are poorly understood. Here, we characterised the tobacco rhizosphere microbiota at the knee-high, vigorous growing, and maturity stages under the application of potassium fulvic acid (PFA), γ-Polyglutamic acid (PGA), soymilk root irrigation (SRI), and conventional fertilization (CK) and its correlation with root characteristics and soil nutrients. The results showed that three root-promoting practices notably improved the dry and fresh root weights. Total nitrogen and phosphorus, available phosphorus and potassium, and organic matter contents in the rhizosphere markedly increased at the vigorous growing stage. The rhizosphere microbiota was changed through root-promoting practices. However, with tobacco growth, the change of rhizosphere microbiota showed a pattern of slow first and then fast and the microbiota of different treatments gradually approached. SRI reduced plant-pathogenic fungi but increased chemoheterotrophic and phototrophic bacteria, and arbuscular mycorrhizal fungi. PFA and PGA markedly increased arbuscular mycorrhizal and ectomycorrhizal fungi at the knee-high stage, which benefitted tobacco nutrient absorption. The correlation between rhizosphere microorganisms and environmental factors varied at different growth stages. Notably, the rhizosphere microbiota was more sensitive to environmental factors at the vigorous growing stage, and the interactions were more complex than in other stages. Furthermore, a variance partitioning analysis showed that the influence of root-soil interaction on the rhizosphere microbiota increased with tobacco growth. Overall, all three root-promoting practices could improve root characteristics, rhizosphere nutrient, and rhizosphere microbiota to varying degrees and increase the tobacco biomass, among which PGA had the most obvious effect and most suitable for tobacco cultivation. Our findings revealed the role of root-promoting practices in shaping the rhizosphere microbiota during plant growth and elucidated the assembly patterns and environmental drivers of crop rhizosphere microbiota driven by the application of root-promoting practices in agricultural production.

The columbamine O-methyltransferase gene (CoOMT) is capable of increasing alkaloid content in transgenic tobacco plants

BACKGROUND

In the alkaloid biosynthetic pathways of Stephania and Rannunculaceae, columbamine O-methyltransferase (CoOMT) is an important enzyme that catalyses the formation of the tetrahydropalmatin (rotundin) biosynthesis pathway. In this study, the transgenic construct pBI121-35S-CoOMT-cmyc-Kdel was designed successfully.

METHODS AND RESULTS

The real-time RT-PCR results proved that the CoOMT transgene was successfully introduced into Nicotiana tabacum L. plants and produced mRNA. Its transcription levels in three transgenic tobacco lines, T0-7, T0-9, and T0-20, in the T0 generation were higher than those in wild-type tobacco plants. By analysing Western blots and ELISAs, three T0 generation transgenic tobacco lines also expressed recombinant CoOMT (rCoOMT) protein with a molecular weight of approximately 40 kDa, and its contents ranged from 0.048 μg mg-1 to 0.177 μg mg-1. These data illustrated that the CoOMT transgene was expressed; thus, the rCoOMT protein synthesis efficiency increased significantly in comparison with that of the wild-type tobacco plants. The total alkaloid contents ranged from 2.12 g 100 g-1 (of dry weight) to 3.88 g 100 g-1 (of dry weight). The T0-20 plant had the highest total alkaloid content (3.88 g 100 g-1 of dry weight), followed by the T0-7 line (2.75 g 100 g-1 of dry weight). The total alkaloid contents of the CoOMT transgenic tobacco lines increased by approximately 1.09-1.83-fold compared to the wild-type tobacco plants.

CONCLUSIONS

This is the first study on the transformation and expression of the CoOMT gene in N. tabacum plants. Initial results of the analysis of transgenic plants proved that the transgenic structure pBI121- CoOMT-Cmyc-Kdel can be used for transformation into Stephania plants.

Novel PvACR3;2 and PvACR3;3 genes from arsenic-hyperaccumulator Pteris vittata and their roles in manipulating plant arsenic accumulation

Arsenite (AsIII) antiporter ACR3 is crucial for arsenic (As) translocation and sequestration in As-hyperaccumulator Pteris vittata, which has potential for phytoremediation of As-contaminated soils. In this study, two new ACR3 genes PvACR3;2 and PvACR3;3 were cloned from P. vittata and studied in model organism yeast (Saccharomyces cerevisiae) and model plant tobacco (Nicotiana tabacum). Both ACR3s mediated AsIII efflux in yeast, decreasing its As accumulation and enhancing its As tolerance. In addition, PvACR3;2 and PvACR3;3 were expressed in tobacco plant. Localized on the plasma membrane, PvACR3;2 mediated both AsIII translocation to the shoots and AsIII efflux from the roots in tobacco, resulting in 203 - 258% increase in shoot As after exposing to 5 μM AsIII under hydroponics. In comparison, localized to the vacuolar membrane, PvACR3;3 sequestrated AsIII in tobacco root vacuoles, leading to 18 - 20% higher As in the roots and 15 - 36% lower As in the shoots. Further, based on qRT-PCR, both genes were mainly expressed in P. vittata fronds, indicating PvACR3;2 and PvACR3;3 may play roles in AsIII translocation and sequestration in the fronds. This study provides not only new insights into the functions of new ACR3 genes in P. vittata, but also important gene resources for manipulating As accumulation in plants for phytoremediation and food safety.

Heavy metal Hg stress detection in tobacco plant using hyperspectral sensing and data-driven machine learning methods

Accurate detection of heavy metal stress on the growth status of plants is of great concern for agricultural production and management, food security, and ecological environment. A proximal hyperspectral imaging (HSI) system covered the visible/near-infrared (Vis/NIR) region of 400-1000 nm coupled with machine learning methods were employed to discriminate the tobacco plants stressed by different concentration of heavy metal Hg. After acquiring hyperspectral images of tobacco plants stressed by heavy metal Hg with concentration solutions of 0 mg·L-1 (non-stressed groups), 1, 3, and 5 mg·L-1 (3 stressed groups), regions of interest (ROIs) of canopy in tobacco plants were identified for spectra processing. Meanwhile, tobacco plant's appearance and microstructure of mesophyll tissue in tobacco leaves were analyzed. After that, clustering effects of the non-stressed and stressed groups were revealed by score plots and score images calculated by principal component analysis (PCA). Then, loadings of PCA and competitive adaptive reweighted sampling (CARS) algorithm were employed to pick effective wavelengths (EWs) for discriminating non-stressed and stressed samples. Partial least squares discriminant analysis (PLS-DA) and least-squares support vector machine (LS-SVM) were utilized to estimate the stressed tobacco plants status with different concentrations Hg solutions. The performances of those models were evaluated using confusion matrixes (CMes) and receiver operating characteristics (ROC) curves. Results demonstrated that PLS-DA models failed to offer relatively good result, and this algorithm was abandoned to classify the stressed and non-stressed groups of tobacco plants. Compared to LS-SVM model based on full spectra (FS-LS-SVM), the LS-SVM model established EWs selected by CARS (CARS-LS-SVM) carried 13 variables provided an accuracy of 100%, which was promising to achieve the qualitative discrimination of the non-stressed and stressed tobacco plants. Meanwhile, for revealing the discrepancy between 3 stressed groups of tobacco plants, the other FS-LS-SVM, PCA-LS-SVM, and CARS-LS-SVM models were setup and offered relatively low accuracies of 55.56%, 51.11% and 66.67%, respectively. Performance of those 3 LS-SVM discriminative models was also poorly performing to differentiate 3 stressed groups of tobacco plants, which might be caused by low concentration of heavy metal and similar canopy (especially in fresh leaves) of plant. The achievements of the research indicated that HSI coupled with machine learning methods had a powerful potential to discriminate tobacco plant stressed by heavy metal Hg.

Transient Expression of Biologically Active Anti-rabies Virus Monoclonal Antibody in Tobacco Leaves

Background

Rabies virus is a neurotropic virus that causes fatal, but, a preventable disease in mammals. Administration of rabies immunoglobulin (RIG) is essential for the post-exposure of the prophylaxis to prevent the disease. However, replacement of polyclonal RIGs with alternative monoclonal antibodies (MAbs) that are capable of neutralizing rabies virus has been recommended.

Objectives

Here, we have investigated the transient expression of the full-size human MAb against rabies virus glycoprotein; the MAb SO57 in the tobacco plants using vacuum agro-infiltration. Previously, stably transformed plants expressing the MAb have been reported.

Materials and Methods

In this study three vectors carrying the codon-optimized genes for the heavy or light chain and p19 silencing-suppressor were constructed. These vectors were co-infiltrated into Nicotiana tabacum leaves and the transgenes were expressed.

Results

Dot blot, Western blotting, ELISA, and in vitro neutralization assays of the plant extracts showed that the human MAb could assemble in tobacco leaves and was able to neutralize rabies virus.

Conclusions

This study is the first report of transient expression of human MAb SO57 gene in tobacco plant within a few days after vacuum agro-infiltration.

[The tobacco in the light of history and medicine]

Super trajectory is reported of tobacco from his first meeting with the European man October 15, 1492. This plant was known in Europe by the publications of the Sevillan physician Nicolas Monardes (1574), the relations of friar Andrés Thevet (1575) and the famous botanical treatise of Charles de l'Écluse (1605). The Swedish botanist Karl Linnaeus inclused tobacco plant in the family Solanaceae and deleted from this group other plants that were intermixed with it. Its botanical name (Nicotiana tabacum) derived from the surname of the French ambassador to Portugal, Jean Nicot of Villemain, who in 1560 sent it to the Queen Mother of France Cathérine de Medicis. The use of snuff quickly spread throughout Europe, were it became common in the seventeenth century. By the late eighteenth century in New Spain, in addition to cigars, cigarettes and due in packs of different content the tobacco is concocted and price. The preparation of the different presentations of snuff, tobacco made in factories in the capital and several provincial cities, originated in 1796 the creation of the first kindergartens for the children of those working in them. This thanks to the successful initiative of then viceroy Marquis of Branciforte. But contrary to the forecasts of Father F. J. Clavijero and Mrs. F. Calderón de la Barca, wife of the first Spanish diplomatic representative to the government of Mexico, the use of tobacco, with the passage of time, far from waning has been increasing in every social class. And now, more than men, women are smokers.