Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm.

The intelligent diagnosis of cervical cancer by using a class of data mining algorithms has important practical significance. In particular, the useful information included in a significant quantity of medical data may not only discreetly boost the development of medical technology but also detect cervical cancer in the future. This paper improves the data mining algorithm and combines image recognition technology and data mining technology to extract and analyze image features. Moreover, this paper makes full use of the information contained in the image to realize the segmentation of the cervical cancer cell image, select the feature vector according to the characteristics of the cervical cancer cell, and use the statistical classification method to design the classifier. The test results show that the automatic recognition effect of this system is good, and it has a good auxiliary diagnosis effect. Therefore, it can be verified in clinical practice in the follow-up.

Corrigendum: The GTPase-Activating Protein FgGyp1 Is Important for Vegetative Growth, Conidiation, and Virulence and Negatively Regulates DON Biosynthesis in Fusarium graminearum.

[This corrects the article DOI: 10.3389/fmicb.2021.621519.].

The GTPase-Activating Protein FgGyp1 Is Important for Vegetative Growth, Conidiation, and Virulence and Negatively Regulates DON Biosynthesis in Fusarium graminearium.

Ypt1 is a small Rab GTPase in yeast, Gyp1 functions at the Golgi as a negative regulator of Ypt1. Gyp1 homologs are conserved in filamentous fungi. However, the roles of Gyp1 in phytopathogenic fungi are still unclear. Herein, we investigated the functions of FgGyp1 in the wheat pathogen Fusarium graminearum by live-cell imaging, genetic, and pathological analyses. Targeted gene replacement method was used to delete FgGYP1 in F. graminearum. Phenotypic analyses showed that FgGyp1 is critically important not only for the vegetative growth of F. graminearum but also its conidiation. The mutant's vegetative growth was significantly reduced by 70% compared to the wild type PH-1. The virulence of FgGYP1 deletion mutant was significantly decreased when compared with the wild type PH-1. We further found that FgGyp1 negatively regulates DON production of the fungus. Live-cell imaging clearly demonstrated that FgGyp1 mainly localizes to the Golgi apparatus. Moreover, the TBC domain, C-terminal, and N-terminal regions of FgGyp1 are found to be indispensable for its biological functions and normal localization. The Arg357 residue of FgGyp1 is essential for its functions but dispensable for the normal localization of the protein, while the Arg284 residue is not required for both the functions and normal localization of the protein. Furthermore, we showed that FgGyp1 essentially hydrolyzes the GTP-bound FgRab1 (activated form) to its corresponding GDP-bound (inactive) form in vitro, suggesting that FgGyp1 is a GTPase-activating protein (GAP) for FgRab1. Finally, FgGyp1 was found to be important for FgSnc1-mediated fusion of secretory vesicles from the Golgi with the plasma membrane in F. graminearum. Put together, these data demonstrate that FgGyp1 functions as a GAP for FgRab1 and is important for vegetative growth, conidiation and virulence, and negatively regulates DON biosynthesis in F. graminearum.

Rapid adaptation of the Irish potato famine pathogen Phytophthora infestans to changing temperature.

Temperature plays a multidimensional role in host-pathogen interactions. As an important element of climate change, elevated world temperature resulting from global warming presents new challenges to sustainable disease management. Knowledge of pathogen adaptation to global warming is needed to predict future disease epidemiology and formulate mitigating strategies. In this study, 21 Phytophthora infestans isolates originating from seven thermal environments were acclimated for 200 days under stepwise increase or decrease of experimental temperatures and evolutionary responses of the isolates to the thermal changes were evaluated. We found temperature acclimation significantly increased the fitness and genetic adaptation of P. infestans isolates at both low and high temperatures. Low-temperature acclimation enforced the countergradient adaptation of the pathogen to its past selection and enhanced the positive association between the pathogen's intrinsic growth rate and aggressiveness. At high temperatures, we found that pathogen growth collapsed near the maximum temperature for growth, suggesting a thermal niche boundary may exist in the evolutionary adaptation of P. infestans. These results indicate that pathogens can quickly adapt to temperature shifts in global warming. If this is associated with environmental conditions favoring pathogen spread, it will threaten future food security and human health and require the establishment of mitigating actions.

Increased frequency of self-fertile isolates in Phytophthora infestans may attribute to their higher fitness relative to the A1 isolates.

Knowledge of population dynamics of mating types is important for better understanding pathogen's evolutionary potential and sustainable management of natural and chemical resources such as host resistances and fungicides. In this study, 2250 Phytophthora infestans isolates sampled from 61 fields across China were assayed for spatiotemporal dynamics of mating type frequency. Self-fertile isolates dominated in ~50% of populations and all but one cropping region with an average frequency of 0.64 while no A2 isolates were detected. Analyses of 140 genotypes consisting of 82 self-fertile and 58 A1 isolates indicated that on average self-fertile isolates grew faster, demonstrated higher aggressiveness and were more tolerant to fungicides than A1 isolates; Furthermore, pattern of association between virulence complexity (defined as the number of differential cultivars on which an isolate can induce disease) and frequency was different in the two mating types. In A1 isolates, virulence complexity was negatively correlated (r = -0.515, p = 0.043) with frequency but this correlation was positive (r = 0.532, p = 0.037) in self-fertile isolates. Our results indicate a quick increase of self-fertile isolates possibly attributable to their higher fitness relative to A1 mating type counterpart in the field populations of P. infestans in China.

Linear Correlation Analysis of Zymoseptoria tritici Aggressiveness with In Vitro Growth Rate.

Zymoseptoria tritici is a globally distributed plant-pathogenic fungus causing Septoria tritici blotch of wheat. In this study, the in vitro growth rates and aggressiveness of 141 genetically distinct isolates sampled from four wheat fields on three continents were assessed to determine the association of these two ecological parameters. Aggressiveness was assessed on two spring wheat cultivars ('Toronit' and 'Greina') in a greenhouse using percentages of leaf area covered by lesions and pycnidia. We found a positive correlation between aggressiveness of pathogen strains on the two cultivars, consistent with a quantitative and host-nonspecific interaction in this pathosystem. We also found a positive correlation between aggressiveness and average growth rate at two temperatures, suggesting that in vitro pathogen growth rate may make a significant contribution to pathogen aggressiveness.

Pharmacokinetics of the combined preparation of lisinopril and hydrochlorothiazide on Chinese healthy volunteers.

The aim of the present study, performed on two different groups of volunteers, is to characterize the pharmacokinetics of lisinopril/hydrochlorothiazide combined tablet. After administration of high, medium and low doses of lisinopril/hydrochlorothiazide combined tablets, AUC and C(max) of two compounds both increase significantly with increase of dose. Neither normalized AUC/Dose nor C(max)/Dose has significant difference between every two tested dose groups. The similar results can be observed as for the parameters of t(max). Lisinopril and hydrochlorothiazide are both eliminated with linear characteristics. After repeated administration of lisinopril/hydrochlorothiazide combined tablets, AUC, C(max) and C(min) of lisinopril in the steady state increase. AUC and C(min) increase significantly. As for hydrochlorothiazide, AUC, C(max), C(min), and t(max) also increase in steady state. AUC and C(min) increase significantly. Administered with the test medication, lisinopril has an fluctuation index (FI) value of 2.29 and reaches a relative steady concentration. But hydrochlorothiazide has an FI value of 4.09 with relatively large fluctuating concentrations.