Soybean mosaic virus (SMV), one of the major viral diseases of Pinellia ternata (Thunb.) Breit., has had a serious impact on its yield and quality. The construction of viral infectious clones is a powerful tool for reverse genetics research on viral gene function and interaction between virus and host. To clarify the molecular mechanism of SMV infection in Pinellia ternata, it is particularly important to construct the SMV full-length cDNA infectious clone. Therefore, the infectious clone of Soybean mosaic virus Shanxi Pinellia ternata isolate (SMV-SXBX) was constructed in this study by Gibson in vitro recombination system, and the healthy Pinellia ternata leaves were inoculated by Agrobacterium infiltration, further through mechanical passage and RT-PCR, confirming that the 3' end of the SMV-SXBX infectious clone had a stable infectivity when it contained 56-nt of poly(A) tail. This method is not only convenient and efficient, but also avoids the instability of SMV infectious clones in Escherichia coli. The construction of SMV full-length infectious cDNA clones laid the foundation for further study on the molecular mechanism of SMV replication and pathogenesis.
DNA, Complementary ; Pinellia ; virology ; Plant Diseases ; virology ; Potyvirus ; isolation & purification ; metabolism

Objective:To explore the relationship between metabolic acidosis and cardiac valve calcification in maintenance hemodialysis (MHD) patients in the Pearl River Delta Region.Methods:Patients on MHD greater than 3 months who were treated in 10 blood purification centers in the Pearl River Delta Region from July 1 to September 30, 2019 were selected for this multicenter cross-sectional study. Based on a Doppler ultrasound, MHD patients were further divided into non-valve calcification group and valve calcification group. The demographics data, frequency of dialysis, blood pressure, single pool Kt/V(spKt/V), dialysis medications and laboratory data were collected and compared. Spearman correlation analysis was used to analyze the correlation between serum carbon dioxide combining power (CO 2CP) and cardiac valve calcification. Multivariate logistic regression model was used to analyze the influencing factors of cardiac valve calcification. Results:A total of 664 MHD patients were included in this study, with age of (57.0±14.2) years old and dialysis age of 43.0 (22.3, 71.7) months, including 395 males (59.5%) and 269 females (40.5%). Among them, there were 119 patients (17.9%) with diabetes and 186 patients (28.0%) with dialysis 2 times per week. There were 329 patients (49.5%) in the valve calcification group, and 335 patients (50.5%) in the non-valve calcification group. Compared to those in non-valve calcification group, valve calcification group had longer duration of dialysis, higher proportion of patients with dialysis 2 times per week, higher levels of diastolic blood pressure, fasting blood glucose, intact parathyroid hormone and ferritin, higher proportion of patients with blood CO 2CP<19 mmol/L (median CO 2CP), higher proportion of patients on usage of calcium channel blocker, angiotensin converting enzyme inhibitor/angiotensin receptor blocker, α-receptor blocker, β-receptor blocker, calcitriol and lanthanum carbonate (all P<0.05), while the levels of spKt/V, hemoglobin, serum CO 2CP, corrected calcium, blood phosphorus, blood alkaline phosphatase, albumin, total cholesterol, triacylglycerol, low-density lipoprotein, high-density lipoprotein, transferrin saturation, and the proportion of patients on usage of sevelamer and cinacalcet were lower (all P<0.05). Spearman analysis showed significant negative correlation between serum CO 2CP and valve calcification ( rs=-0.697, P<0.001). Multivariate logistic regression analysis showed that dialysis performed twice a week ( OR=2.789, 95% CI 1.232-6.305, P=0.014), blood total cholesterol ( OR=1.449, 95% CI 1.014-2.071, P=0.042), CO 2CP<19 mmol/L ( OR=22.412, 95% CI 10.640-47.210, P<0.001) were the influencing factor of valve calcification in MHD patients. Conclusions:MHD patients with cardiac valve calcification have significant acid loading. Metabolic acidosis is an independent influencing factor for cardiac valve calcification in MHD patients.

Objective:To develop the specific molecular markers of Codonopsis plants and better identify their germplasm resources considering the significant difference in active ingredients of Codonopsis Radix from various origins and producing areas. Method:Such bioinformatics software as Primer 5.0， NTSYS-pc 2.10e， and PopGene 32 were used for searching the simple sequence repeat （SSR） markers of C. minima chloroplast genome， C. tsinlingensis chloroplast， and C. lanceolata mitochondrial sequences， and 120 pairs of SSR primers were designed by Primer 5.0. Then 16 pairs of cpSSR primers and 10 pairs of mtSSR primers with good screening effect and high polymorphism were selected for analyzing the interspecific versatility of 20 samples. Result:The results showed that 66 cpSSR primer sites and 26 mtSSR sites were identified from the genome sequences， with 86.20% of single nucleotide， 6.9% of dinucleotide， and 6.9% of trinucleotide for C. minima chloroplast， 83.78% of single nucleotide，13.51% of dinucleotide， and 2.71% of trinucleotide for C. tsinlingensis chloroplast， and 46.15% of single nucleotide and 53.85% of dinucleotide for C. lanceolata mitochondria. As demonstrated by polymerase chain reaction （PCR） identification results， the developed 26 pairs of SSR primers had good applicability in the genus Codonopsis. The analysis by NTSYS-pc 2.10e revealed that the genetic similarity coefficients of 20 samples were within the range of 0.38-1.00， and they were divided into two subgroups at a threshold of 0.69. Four pairs of polymorphic primers were screened out in the diversity analysis of 20 samples using PopGene 32. The number of observed alleles （Na） was 12， and the effective number of alleles （Ne） ranged from 1.362 9 to 2.605 9. The percentage of polymorphic loci （PPL） at each site was 100%， and the average values of genetic parameters Ho， He， and I at each site were 0.555 8， 0.444 2， and 0.753 2， respectively， indicating high polymorphism at each site. The screened four pairs of primers were utilized for DNA fingerprinting of the 20 samples， and it was found that the DNA fingerprints enabled the identification of these 20 samples. Conclusion:This study has provided a molecular basis for the study of the genetic relationship between plants in species Codonopsis and the intraspecific genetic differentiation.

Medicinal plant germplasm resources are the foundation of the modern development of traditional Chinese medicine. In-depth study of medicinal plant germplasm resources is a prerequisite for cultivating fine varieties and ensuring the output and standard quality of traditional Chinese medicine（TCM）. Traditional identification methods start with appearance and are greatly affected by natural environment and human factors，with a low efficiency and accuracy of identification are generally low molecularin general. Due to such advantages as easy operation，high sensitivity，accurate results， molecular biology technology has been widely used in the related research of relevant studies for medicinal plant germplasm resources due to its advantages of easy operation，high sensitivity，accurate results，etc. It mainly involving the distinction between wild and cultivated products，researchstudy on substitutes of TCM，identification of Chinese patent medicine，good variety marker breeding，genetic diversity researchstudy，genetic map establishment and omics research，etcstudy. Among them，omics researchstudy is divided into genomics，transcriptomics，metabolomics，and proteomics due toby different analysis purposes. Genomics is divided into three sub-fields namely structural genomics，functional genomics， and comparative genomics. Eukaryotes Because eukaryotes have nuclei and organelles，so omics researchstudy also includes chloroplast genomics，mitochondrial genomics，nuclear genomics，and plastid genomics. Among them，the chloroplast genome has a simple structure，small molecular weight，and good conservation，while the mitochondrial genome has a strong variability and complex structure，the nuclear genome data isfeatures complex， data and the nucleus contains no ribosomes in nucleus，resulting in spatiotemporal differences in the translation process，even if repeated repeatedly test， the result of and the test is alsoresults remained uncertain， even after repeated tests. The molecular biology technology and omics researchstudy involved in theby current medicinal plant researchstudy still hashave shortcomings，and there iswith a large room for development，which needs and need further improvement and supplementation. This articlepaper successively introduces the characteristics and applications of cytology，molecular markers，and omics researchstudy techniques in the identification of medicinal germplasm resources，providingin order to provide a reference for subsequent identification，development and utilization of medicinal plant germplasm resources.

Objective To study the effects of Guizhi Shaoyao Zhimu Decoction on factors related to bone destruction and bone protection in rats with collagen-induced arthritis(CIA)based on osteopro-tegerin(OPG)/receptor activator of NF-κB ligand(RANKL)/receptor activator of NF-κB(RANK)signaling pathway.Methods According to the body weight,60 female Wistar rats were randomly di-vided into the following six groups:the normal group,the model group,the Triperygium wilfordii mul-tiglucoside group(0.01 g/kg),the Guizhi Shaoyao Zhimu Decoction low-dose group(8.6 g/kg),the Guizhi Shaoyao Zhimu Decoction medium-dose group(17.2 g/kg),and the Guizhi Shaoyao Zhimu Decoction high-dose group(34.4 g/kg)(n=10 rats per group).The rats in all groups except for the normal group were given 100 μg bovine type Ⅱ collagen on the 1st and 8th days to establish the CIA model,and was injected into the left foot sole and tail root of the rats.After the successful modeling,the rats were treated by gavage for 4 weeks.The general state,body weight,and arthritis index(AI)score of rats were recorded,and the contents of RANKL and OPG in rat serum were determined by enzyme-linked immunosorbent assay.The mRNA and protein expressions of RANKL,RANK,and OPG in the ankle joint were determined through real-time PCR and Western blotting,respectively.Results Com-pared with the normal group,the general state of the model group was poor,the toe swelling was obvious,the AI score was increased,the serum RANKL content was increased,the serum OPG content was de-creased,and the mRNA and protein expressions of RANKL and RANK in the ankle joint were increased(P＜0.05).Compared with the model group,the degree of toe swelling and the AI score of rats in the Guizhi Shaoyao Zhimu Decoction low-,medium-,and high-dose groups were decreased,the serum RANKL content was decreased,the serum OPG content was increased,the mRNA and protein expres-sions of RANKL and RANK in the ankle joint were decreased,the mRNA and protein expressions of OPG were increased,and the RANKL/OPG ratio of the ankle joint was decreased(P＜0.05).Conclusion Guizhi Shaoyao Zhimu Decoction can improve the destruction of joint bone in CIA rats,and its mecha-nism of action may be related to reducing RANKL level,reducing RANKL/OPG ratio,and regulating bone balance.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome