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Ulmus szechuanica is a species of Sect.Ulmus and Ser.Nitentes in Ulmaceae, and it is an endangered wild plant in China. The complete chloroplast genome (cp) of U. szechuanica was reported in this study. The result showed that the cp genome was 159,703 bp in length including a large single-copy (LSC) 88,039 bp and a small single-copy (SSC) 19,072 bp, which were separated by two inverted repeats (IRs) of 26,296 bp with the typical quadripartite structure, respectively. The genome encoded 131 genes, including 86 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. The GC content was 35.53%. Chloroplast sequences were used for constructing phylogenetic tree to determine the evolutionary status of U. szechuanica. The maximum-likelihood phylogenetic analysis showed that U. szechuanica displayed a closer kinship to five other Ulmus species. This study provides important information for identification and conservation of species, germplasm resources utilization, and genetic engineering of Ulmus. The cp will provide a reference for future studies on species evolution of Ulmus.
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Ulmus elongata is a species of Sect. Chaetoptelea (Liemb.) S chneid in Ulmaceae, and it is an endangered wild plant listed in the second class of the Protected Plants in China. The complete chloroplast genome (cp) of U. elongata was reported in this study. The result showed that the cp genome was 159,230 bp in length including a large single-copy (LSC) 87,718 bp and a small single-copy (SSC) 18,690 bp, which were separated by two inverted repeats (IRs) of 26,411 bp with the typical quadripartite structure, respectively. The genome encoded 132 genes, including 87 protein-coding genes, 37 tRNA genes, and eight rRNA genes. The GC content was 35.57%. Chloroplast sequences were used for constructing phylogenetic tree to determine the evolutionary status of U. elongata. The maximum-likelihood phylogenetic analysis showed that U. elongata was clustered with five other Ulmus species, and the relationship between Ulmus and Zelkova was closest. The success of cp genome assembly of U. elongata has laid a foundation for the study of chloroplast molecular biology and can effectively promote the study of genetic breeding and molecular evolution of U. elongata.
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Objective To observe the value of radiomics combined with CT features for distinguishing mycoplasma pneumonia(MP)and non-MP in children.Methods Data of 153 children with pneumonia were retrospectively analyzed.The children were divided into MP group(n=101)and non-MP group(n=52)according to mycoplasma RNA detection,and also were divided into training set(n=107,including 71 MP and 36 non-MP)and validation set(n=46,including 30 MP and 16 non-MP)at the ratio of 7∶3.CT findings were compared between groups.Six best CT features were selected in training set using F test algorithm,and a CT model was constructed using logistic regression(LR)method.The best radiomics features were extracted and screened in training set,and machine learning(ML)models were constructed using LR,support vector machine(SVM),random forest(RF),linear discriminant analysis(LDA)and stochastic gradient descent(SGD)classifiers,respectively.Based on the best CT features and radiomics features,CT-ML models were constructed using the above classifiers.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated,the efficacy of each model for distinguishing MP and non-MP was evaluated.Results Lesions involved the upper,middle and lower lobe of right lung,thickened bronchial wall,tree bud sign and edge retract sign were the best CT features.AUC of CTLR was 0.710,of MLLR,MLSVM,MLRF,MLLDA and MLSGD in validation set was 0.715,0.663,0.623,0.706 and 0.494,respectively,and MLLR was the optimal radiomics model.AUC of CT-MLLR,CT-MLSVM,CT-MLRF,CT-MLLDA and CT-MLSGD in validation set was 0.813,0.823,0.649,0.796 and 0.665,respectively,and CT-MLSVM was the optimal CT-ML model.In training set,AUC of CT-MLSVM(0.840)was higher than that of CTLR and MLLR model(AUC=0.713,0.740,both P＜0.05).In validation set,no significant difference of AUC was found among CTLR,MLLR and CT-MLSVM(AUC=0.710,0.715 and 0.823,all P＞0.05).Conclusion Radiomics combined with CT features could effectively distinguish MP and non-MP in children.
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Objective: To study the effects of estrogen on the degenerative changes of condylar cartilage and subchondral bone in rats. Methods: 18 female SD rats aged 6 weeks were divided into control(C),unilateral anterior cross-bite(UAC) and UAC treated with estrogen(UAC + E) groups(n = 6). UAC metal prosthesis was cemented to the left incisors of maxilla and mandible of the rats in group UAC and UAC + E. Rats in UAC + E group were given pexitoneal injection of 80 μg 17β-estradiol per day. The rats in group C were untreated. Animal were sacrificed at the 4th weeks. The micro-structure of subchondral bone was observed by Micro-CT scanning. HE staining,Safranin O staining,immunohistochemical staining,TUNEL staining and TRAP staining for the observation of pathological changes of histomorphology,extracellular matrix,chondrocyte apoptosis in condylar cartilage,and osteoclasts number in subchondral bone. Results: UAC and UAC + E group showed evident osteoarthritis(OA)-like lesions. Compare with UAC group,there was a significant decrease in the expression of proteoglycan(P ＜ 0. 05),type Ⅱ collagen(P ＜ 0. 01),and a significant increase in the number of apoptotic chondrocytes(P ＜ 0. 01) in UAC + E group. As for subchondral bone,the BV/TV,Tb. Th parameters in C and UAC + E groups were significant higher than in UAC group(P ＜ 0. 01),while the BS /BV,Tb. N,Tb. Sp parameters and the osteoclasts number in C and UAC + E groups were significant fewer than in UAC groups(P ＜ 0. 01). There was no significant difference in bone ultra-parameters and osteoclasts number between C and UAC + E groups(P＞ 0. 05). Conclusion: In the model of rat TMJOA induced by unilateral anterior crossbite prosthesis,supra-physiological level of estrogen can reverse bone loss in subchondral bone,but accelerate the degradation of condylar cartilage.