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Jasmine (Jasminum sambac Aiton) is a well-known cultivated plant species for its fragrant flowers used in the perfume industry and cosmetics. However, the genetic basis of its floral scent is largely unknown. In this study, using PacBio, Illumina, 10× Genomics and high-throughput chromosome conformation capture (Hi-C) sequencing technologies, a high-quality chromosome-level reference genome for J. sambac was obtained, exploiting a double-petal phenotype cultivar ‘Shuangbanmoli’ (JSSB). The results showed that the final assembled genome of JSSB is 580.33 Mb in size (contig N50 = 1.05 Mb; scaffold N50 = 45.07 Mb) with a total of 39 618 predicted protein-coding genes. Our analyses revealed that the JSSB genome has undergone an ancient whole-genome duplication (WGD) event at 91.68 million years ago (Mya). It was estimated that J. sambac diverged from the lineage leading to Olea europaea and Osmanthus fragrans about 28.8 Mya. On the basis of a combination of genomic, transcriptomic and metabolomic analyses, a range of floral scent volatiles and genes were identified involved in the benzenoid/phenylpropanoid and terpenoid biosynthesis pathways. The results provide new insights into the molecular mechanism of its fragrance biosynthesis in jasmine.

Abstract The evaluation index system is constructed based on the connotation and characteristics of health tourism. Using the entropy method, Thiel index, exploratory spatial data analysis method, spatial Markov chain and spatial econometric model, research is carried out around the development index, difference status, spatial-temporal pattern, dynamic evolution and influencing factors of health tourism. The following results were drawn: (1) The development index of health tourism in China is low, but the development speed is fast. The inter-regional development index shows an eastern China > central China > western China pattern, and the development speed exhibits a western China > central China > eastern China situation. (2) In the overall difference in China’s health tourism development, the intra-regional difference is consistently higher than the inter-regional difference. Among the three major regions, the overall difference between eastern China and western China is always higher than that of central China. (3) The development of health tourism in China is positively correlated in the global space, with some local spatial clustering. (4) The dynamic evolution of health tourism development in China shows part of the “Matthew effect” characteristics, with an obvious spatial spillover effect. (5) Various influencing factors produced widely varying direct, indirect and total effects on health tourism development in China, eastern China, central China and western China. Finally, based on the results of the above empirical analysis, policy recommendations to promote the development of health tourism in China are proposed.

Abstract Background The relationships of college students’ learning stress, psychological resilience and learning burnout remain unclear. We aimed to investigate the status quo and relationship of college students’ learning stress, psychological resilience and learning burnout, to provide insights to the management and nursing care of college students. Methods From September 1 to October 31, 2022, students in our college were selected by stratified cluster sampling and underwent survey with the learning stress scale, college students’ learning burnout scale and the psychological resilience scale of college students. Results A total of 1680 college students were surveyed in this study. The score of learning burnout was positively correlated with the score of learning stress (r = 0.69), and negatively correlated with the score of psychological resilience (r = 0.59), and the score of learning stress was negatively correlated with the score of psychological resilience (r = 0.61). Learning pressure was correlated with the age(r=-0.60) and monthly family income(r=-0.56), the burnout was correlated with the monthly family income(r=-0.61), and psychological resilience was correlated with the age(r = 0.66) (all P

Abstract Background Hydrangea macrophylla var. Maculata ‘Yinbianxiuqiu’ (YB) is an excellent plant species with beautiful flowers and leaves with silvery white edges. However, there are few reports on its leaf color characteristics and color formation mechanism. Results The present study compared the phenotypic, physiological and transcriptomic differences between YB and a full-green leaf mutant (YM) obtained from YB. The results showed that YB and YM had similar genetic backgrounds, but photosynthesis was reduced in YB. The contents of pigments were significantly decreased at the edges of YB leaves compared to YM leaves. The ultrastructure of chloroplasts in the YB leaves was irregular. Transcriptome profiling identified 7,023 differentially expressed genes between YB and YM. The expression levels of genes involved in photosynthesis, chloroplast development and division were different between YB and YM. Quantitative real-time PCR showed that the expression trends were generally consistent with the transcriptome data. Conclusions Taken together, the formation of the silvery white leaf color of H. macrophylla var. maculata was primarily due to the abnormal development of chloroplasts. This study facilitates the molecular function analysis of key genes involved in chloroplast development and provides new insights into the molecular mechanisms involved in leaf coloration in H. macrophylla.

Jasmine [Jasminum sambac (L.) Aiton] is a commercially important cultivated plant species known for its fragrant flowers used in the perfume industry, medicine and cosmetics. In the present study, we obtained a draft genome for the J. sambac cultivar ‘Danbanmoli’ (JSDB, a single-petal phenotype). We showed that the final genome of J. sambac was 520.80 Mb in size (contig N50 = 145.43 kb; scaffold N50 = 145.53 kb) and comprised 35,363 genes. Our analyses revealed that the J. sambac genome has undergone only an ancient whole-genome duplication (WGD) event. We estimated that the lineage that has given rise to J. sambac diverged from the lineage leading to Osmanthus fragrans and Olea europaea approximately 31.1 million years ago (Mya). On the basis of a combination of genomic and transcriptomic analyses, we identified 92 transcription factors (TFs) and 206 genes related to heat stress response. Base on a combination of genomic, transcriptomic and metabolomic analyses, a range of aroma compounds and genes involved in the benzenoid/phenylpropanoid and terpenoid biosynthesis pathways were identified. In the newly assembled J. sambac genome, we identified a total of 122 MYB, 122 bHLH and 69 WRKY genes. Our assembled J. sambac JSDB genome provides fundamental knowledge to study the molecular mechanism of heat stress tolerance, and improve jasmine flowers and dissect its fragrance.

Hydrangea (Hydrangea macrophylla (Thunb.) Ser.) is a famous ornamental plant species with high resistance to aluminum (Al). The aluminum-activated malate transporter (ALMT) family encodes anion channels, which participate in many physiological processes, such as Al tolerance, pH regulation, stomatal movement, and mineral nutrition. However, systematic studies on the gene family have not been reported in hydrangea. In this study, 11 candidate ALMT family members were identified from the transcriptome data for hydrangea, which could be divided into three clusters according to the phylogenetic tree. The protein physicochemical properties, phylogeny, conserved motifs and protein structure were analyzed. The distribution of base conservative motifs of HmALMTs was consistent with that of other species, with a highly conserved WEP motif. Furthermore, tissue-specific analysis showed that most of the HmALMTs were highly expressed in the stem under Al treatment. In addition, overexpression of HmALMT5, HmALMT9 and HmALMT11 in yeasts enhanced their tolerance to Al stress. Therefore, the above results reveal the functional role of HmALMTs underlying the Al tolerance of hydrangea. The present study provides a reference for further research to elucidate the functional mechanism and expression regulation of the ALMT gene family in hydrangea.

Background: Atezolizumab, a high-affinity engineered human anti–PD-L1 antibody, has produced a clinical benefit for patients with advanced non–small-cell lung cancer (NSCLC). However, associated with T-cell regulation, the immunomodulatory effect of PD-L1 blockade and its biomarker in peripheral immunity remains elusive.Methods: In a prospective cohort with 12 Chinese advanced NSCLC patients who received atezolizumab 1,200 mg every 3 weeks as a second-line treatment, blood samples were obtained before and 6 weeks after atezolizumab initiation, and when disease progression was confirmed. Patients were classified into a response or progression group according to response evaluation criteria in solid tumors (RECIST) 1.1. Fresh peripheral blood mononuclear cells (PBMCs) from patients were stained with antihuman CD3, CD8, and PD-1 antibodies for flow cytometry analysis. T-cell receptor (TCR)-β chains of CD8+ T cells were analyzed by next-generation sequencing (NGS) at the deep level. Diversity, clonality, and similarity of TCR have been calculated before and after treatment in both groups.Results: Clonal expansion with high PD-1 expression was detected in all patients’ peripheral CD8+ T cells before the treatment of atezolizumab. Unlike the progression group, the diversity of TCR repertoire and singletons in the TCRβ pool increased over time with atezolizumab administration, and the TCR repertoire dynamically changes in the response group. The percentage of CD8+ PD-1high terminal exhausted T cells declined in the response group after the PD-L1 blockade. Two patterns of TCR changes among patients who received PD-L1–targeted immunotherapy were observed.Conclusions: Deep sequencing of the T-cell receptors confirmed the existence of CD8+ PD-1high T cells with an exhaustion phenotype in Chinese NSCLC patients. Our study demonstrated that efficient anti–PD-L1 therapy could reshape the TCR repertoire for antitumor patients. Furthermore, singleton frequency may help us select patients who are sensitive to anti–PD-L1 immunotherapy.

Tourism efficiency can be used to effectively measure the utilization of regional tourism resources and the state of tourism economic development. Based on the super efficiency DEA model, Malmquist index, and spatial econometric model, this article measures the static and dynamic tourism efficiency of 11 provinces and cities in eastern China for 2010 to 2019. In combining ArcGIS 10.0 and MATLAB 2016b software, this article studies the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities and influencing factors. The results show that (1) the overall tourism efficiency of eastern provinces is at a high level and relatively stable, but the regional distribution is quite varied, and problems of spatial imbalance are prominent; (2) the overall tourism efficiency of eastern provinces is increasing, and the change index of technical efficiency contributes the most, followed by the change index of scale efficiency; and (3) industrial status, traffic conditions, tourism resource endowment, and the labour force are the main factors affecting the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities, while the level of economic development and information technology have no significant impact.