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The elucidation of resources pertaining to the Chimonanthus praecox varieties and the establishment of a fingerprint serve as crucial underpinnings for advancing scientific inquiry and industrial progress in relation to C. praecox. Employing the SSR molecular marker technology, an exploration of the genetic diversity of 175 C. praecox varieties (lines) in the Yanling region was conducted, and an analysis of the genetic diversity among these varieties was carried out using the UPDM clustering method in NTSYSpc 2.1 software. We analyzed the genetic structure of 175 germplasm using Structure v2.3.3 software based on a Bayesian model. General linear model (GLM) association was utilized to analyze traits and markers. The genetic diversity analysis revealed a mean number of alleles (Na) of 6.857, a mean expected heterozygosity (He) of 0.496 3, a mean observed heterozygosity (Ho) of 0.503 7, a mean genetic diversity index of Nei՚s of 0.494 9, and a mean Shannon information index of 0.995 8. These results suggest that the C. praecox population in Yanling exhibits a rich genetic diversity. Additionally, the population structure and the UPDM clustering were examined. In the GLM model, a total of fifteen marker loci exhibited significant (P < 0.05) association with eight phenotypic traits, with the explained phenotypic variation ranging from 14.90% to 36.03%. The construction of fingerprints for C. praecox varieties (lines) was accomplished by utilizing eleven primer pairs with the highest polymorphic information content, resulting in the analysis of 175 SSR markers. The present study offers a thorough examination of the genetic diversity and SSR molecular markers of C. praecox in Yanling, and establishes a fundamental germplasm repository of C. praecox, thereby furnishing theoretical underpinnings for the selection and cultivation of novel and superior C. praecox varieties, varietal identification, and resource preservation and exploitation.
Subject(s)
Bayes Theorem , Biomarkers , Phenotype , Cluster Analysis , Genetic VariationABSTRACT
The present study aims to explore the genetic diversity of germplasm resources of Chrysanthemum×morifolium (hereinafter, C.×morifolium) at the molecular level and to establish a fingerprint database of C.×morifolium varieties. We employed 12 pairs of primers with high levels of polymorphism, clear bands, and high degrees of reproducibility to analyze the SSR molecular markers and genetic diversity of 91 C.×morifolium materials and 14 chrysanthemum- related materials. With regard to constructing the fingerprints of the tested materials, we chose 9 pairs of core primers. The findings revealed that 12 primer pairs detected 104 alleles in 105 samples, ranging from 2 to 26. The average number of observed alleles (Na) per site was 9.25. The average number of effective alleles (Ne) per site was 2.745 6, with its range being 1.276 0 to 4.742 5. Shannon genetic diversity index (I) values ranged between 0.513 3 and 2.239 9 (M=1.209 0). Nei's gene diversity index (H) ranged between 0.216 3 and 0.789 1 (M=0.578 0). The observed heterozygosity (Ho) ranged between 0.223 3 and 0.895 2 (M=0.557 5). The expected heterozygosity (He) ranged between 0.217 4 and 0.793 3 (M=0.580 8). The polymorphism information content (PIC) ranged between 0.211 5 and 0.774 0 (M=0.532 9). The genetic similarity (GS) ranged between 0.228 5 and 1.000 0 (M=0.608 3). Cluster analysis revealed that when the genetic distance (GD) equals to 0.30, the tested materials can be classified into 2 groups. When the GD equals to 0.27, the first group can be divided into 6 subgroups; accordingly, 105 tested materials can be divided into 7 subgroups. The cophenetic correlation test was carried out based on the cluster analysis, and the corresponding results showed that the cluster map correlated with the genetic similarity coefficient (r=0.952 73). According to the results of Structure population analysis, we obtained the optimal population number, with the true number of populations (K) being 3 and the population being divided concerning Q≥0.5. Three subgroups, i.e., Q1, Q2 and Q3, included 34, 33 and 28 germplasms, respectively, and the remaining 10 germplasms were identified as the mixed population. During the experiment, 9 pairs of core primers were screened among the total of 12 for a complete differentiation regarding 105 tested materials, and the fingerprints of 91 C.×morifolium materials and 14 chrysanthemum-related materials were further constructed. Overall, there were significant genetic differences and rich genetic diversity among C.×morifolium materials, which would shed light on the garden application and variety selection fields of C.×morifolium. The fingerprint database of 105 C.×morifolium varieties and chrysanthemum-related species may provide technical support for future research regarding the identification and screening system of C.×morifolium varieties.
Subject(s)
Genetic Variation , Chrysanthemum/genetics , Reproducibility of Results , Microsatellite Repeats/genetics , Polymorphism, Genetic , Biomarkers , PhylogenyABSTRACT
Parkinson's disease (PD) is the second largest neurodegeneration disease in the world, characterized by tremors, rigidity and bradykinesia. Fine particulate matter (PM2.5) is a kind of airborne particulate matters whose diameter≤2.5 μm. Epidemiological studies have shown that PM2.5 is associated with PD, and both short-term and long-term exposures to PM2.5 can increase PD risk. However, few relevant studies and still unclear mechanism are noted; therefore, this article reviews the epidemiological studies, mechanism and dietary intervention strategies of PM2.5 and PD.
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@#Objective To investigate the association between pulse pressure,pulse pressure index and early hematoma enlargement in spontaneous intracerebral hemorrhage (ICH).Methods The pulse pressure and pulse pressure index of 428 patients with ICH was recorded.All patients were divided into growing hematoma group and stable hematoma group according to the existence of early hematoma enlargement and comparatively studied.Results (1)One hundred and sixteen cases showed hematoma enlargement.The PP level was (84.81±17.36)mmHg in growing hematoma group and (67.06±16.86)mmHg in stable hematoma group.The PPI level was (0.45±0.07) in growing hematoma group and (0.39±0.68) in stable hematoma group.The PP and PPI levels of the growing hematoma group were significantly higher than those of the stable hematoma group (both P<0.05).(2)The prevalence of early hematoma enlargement increased along with the increase of PP and PPI (both P<0.05).(3)Receiver operating characteristic (ROC) curve analysis showed that the areas of PP and PPI under ROC curve was 0.779 （95%CI 0.730~0.827）and 0.726 （95%CI 0.671~0.780）.The best cutiff value for predicting the prevalence of hematoma enlargement of PP level was 70 mmHg.The sensitivity was 0.80 and the specificity was 0.72.The best cutiff value of PPI level was 0.43.The sensitivity was 0.64 and the specificity was 0.73.There was no significant difference between the area of PP and PPI under ROC curve (P>0.05).Conclusion As risk factors of early hematoma enlargement,PP and PPI are associated with the prevalence of early hematoma enlargement in ICH.PP is the same as PPI in predicting the prevalence of hematoma enlargement.
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Objective To evaluate the role of nodal gene modulating malignancy of a hepatocellular carcinoma cell lines SMMC7721. Methods To silence the expression of nodal gene in human hepatocellular carcinoma cells by RNA interference ( RNAi),and to observe the effect on cells biological behaviour and vasculogenic mimicry.4 expression vectors of nodal gene targeting small interference RNA were constructed and transfected into SMMC-7721 cells.Real-time quantitive PCR and Western blot were used to examine nodal gene expression. The effects of nodal gene RNA interference on proliferation,apoptosis,infestation,migration and vasculogenic mimicry of SMMC-7721 were studed. Results The expression of nodal gene was suppressed in SMMC-7721 cells by RNA interference.In the first 4,5,6 days of proliferation experiment,the proliferation of interference group was significantly lower than the control group(separately F =17 098.922,18 135.107,32 641.075,all P ＜ 0.05 ); 48 h after transfection,the apoptosis rate of interference group was significantly higher than the control group (F =1136.452,P ＜0.05); In the infestation and migration experiments,the cells through the transwell chamber in the interference group were less than the control group( separately F =83.6,1126.857,all P ＜ 0.05 ) ; 24 h and 48 h after transfection,the vasculogenic mimicry in the interference group did not form which was significantly different from the control group. Conclusions Interfering the expression of nodal gene inhibits the malignant biological behaviour and the formation of vasculogenic mimicry in human hepatocellular carcinoma cells.
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Objective To adopt accurate and prompt nursing measures to prevent incidence of pressure through evaluation of risk factors of pressure ulcer during perioperation of thoracotomy, in order to increase nursing quality and life quality of patients. Methods The incidence of pressure ulcer in 100 patients after thoracotomy and its related risk factors were investigated by application of pressure ulcer risk factors evaluation scale, and the influence of related factors on incidence of pressure ulcer was com -pared. Results Single factor analysis showed that preoperative smoking, albumin content and prolonged postoperative turning over time had significant influence on incidence of pressure ulcer. Conclusions Patients after thoracotomy are high risk population of pressure ulcer. The pivotal period for ulcer prevention is from the operation day to 3 days after operation.
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Objective To investigate prognostic factors in patients receiving mechanical ventilation. Methods 91 patients receiving mechanical ventilation from Jan 2002 to May 2004 were divided into two groups: death group and survival group. The patients' clinical data were retrospectively analyzed by Logistic regression method. Results Of the 98 patients, 48 cases (52.7%) died in the ICU, and 43 cases (47.3%)were survival. By means of single factor analysis, differences in total hospitalized time, time stayed in ICU,active partial thromboplastin time, red cell count, the level of haemoglobin and blood glucose, and Acute Physiology and Chronic Health Evaluation (APACHE) II scores between the two groups were significant (P