SUMMARYGenetic and physical maps are powerful tools to anchor fragmented draft genome assemblies generated from next-generation sequencing. Currently, two draft assemblies of Nelumbo nucifera, the genomes of 'China Antique' and 'Chinese Tai-zi', have been released. However, there is presently no information on how the sequences are assembled into chromosomes in N. nucifera. The lack of physical maps and inadequate resolution of available genetic maps hindered the assembly of N. nucifera chromosomes. Here, a linkage map of N. nucifera containing 2371 bin markers [217 577 single nucleotide polymorphisms (SNPs)] was constructed using restriction-site associated DNA sequencing data of 181 F 2 individuals and validated by adding 197 simple sequence repeat (SSR) markers. Additionally, a BioNano optical map covering 86.20% of the 'Chinese Tai-zi' genome was constructed. The draft assembly of 'Chinese Tai-zi' was improved based on the BioNano optical map, showing an increase of the scaffold N50 from 0.989 to 1.48 Mb. Using a combination of multiple maps, 97.9% of the scaffolds in the 'Chinese Tai-zi' draft assembly and 97.6% of the scaffolds in the 'China Antique' draft assembly were anchored into pseudo-chromosomes, and the centromere regions along the pseudo-chromosomes were identified. An evolutionary scenario was proposed to reach the modern N. nucifera karyotype from the seven ancestral eudicot chromosomes. The present study provides the highest-resolution linkage map, the optical map and chromosome level genome assemblies for N. nucifera, which are valuable for the breeding and cultivation of N. nucifera and future studies of comparative and evolutionary genomics in angiosperms.

Genomic resources such as single nucleotide polymorphism (SNPs), insertions and deletions (InDels) and SSRs (simple sequence repeats) are essential for crop improvement and better utilization in genetic breeding. However, the resources for the sacred lotus (Nelumbo nucifera Gaertn.) are still limited. In the present study, to dissect large-scale genomic molecular marker resources for sacred lotus, we re-sequenced a Thailand sacred lotus cultivar ‘Chiang Mai wild lotus’ and compared with the reported lotus genome ‘Middle lake wild lotus’. A total of 3,180,059 SNPs, 328, 251 InDels and 14,191 SVs were found between the two genomes. The functional impact analyses of these SNPs indicated that they may be involved in metabolic processes, binding, catalytic activity, etc. Mining the genome sequences for SSRs showed that 191,657 SSRs were identified with a frequency of one SSR per 4.23 kb and 103,656 SSR primer pairs were designed. Furthermore, 14, 502 EST-SSRs were also indentified using the available RNA-seq data in the NCBI. A subset of 150 SSRs (genomic and EST-SSRs) was randomly selected for validation and genetic diversity analysis. The genotypes could be easily distinguished using these SSR markers and the ‘Chiang Mai wild lotus’ was obviously differentiated from the other Chinese accessions. This study provides considerable amounts of genomic resources and markers for the quantitative trait locus (QTL) identification and molecular selection of the species, which could have a potential role in various applications in sacred lotus breeding.

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ObjectivesTo evaluate the emotion, coping strategy, dealing methods and their correlation in the COVID-19 outbreak among nursing and non-nursing students.Design and settingA cross-sectional online survey.ParticipantsFull-time nursing and non-nursing undergraduate students.Main outcome measureThe Generalized Anxiety Disorder 7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) were used to determine the emotional status in the COVID-19 pandemic among nursing and non-nursing students. Emotion Regulation Questionnaire (ERQ) was used to measure the emotion regulation strategies and the Simplified Coping Style Questionnaire (SCSQ) was used to evaluate the coping methods among nursing and non-nursing students.ResultsIn total, 746 students including 366 nursing students and 380 non-nursing students participated in the survey. Compared with the non-nursing students, a significant decrease was noticed in GAD-7 score (p<0.01) and PHQ-9 (p<0.01) in the nursing students. The cognition re-evaluation score in the nursing students was significantly lower than that of the non-nursing students (p<0.05). In the nursing students, the score of anxiety was positively correlated with ERQ expression inhibition (p<0.01) and SCSQ negative coping (p<0.01), while the score of depression was also positively correlated with ERQ expression inhibition (p<0.01) and SCSQ negative coping (p<0.01). There was a negative correlation between SCSQ and the scores of anxiety (p<0.05) and depression (p<0.05). In the non-nursing students, the anxiety score was positively correlated with the SCSQ negative coping (p<0.01), while the depression score was positively correlated with the ERQ expression inhibition (p<0.01) and SCSQ negative coping (p<0.01).ConclusionsCOVID-19 affected the emotional status of nursing and non-nursing students. The emotional status was correlated with the emotional regulation and coping methods. Staff involved in the nursing professionals should pay attention to the psychological status of the nursing and non-nursing students, and give moderate psychological interference in the presence of COVID-19.

Realization of open online control of diverse in-situ sensors is a challenge. This paper proposes a Cyber-Physical Geographical Information Service-enabled method for control of diverse in-situ sensors, based on location-based instant sensing of sensors, which provides closed-loop feedbacks. The method adopts the concepts and technologies of newly developed cyber-physical systems (CPSs) to combine control with sensing, communication, and computation, takes advantage of geographical information service such as services provided by the Tianditu which is a basic geographic information service platform in China and Sensor Web services to establish geo-sensor applications, and builds well-designed human-machine interfaces (HMIs) to support online and open interactions between human beings and physical sensors through cyberspace. The method was tested with experiments carried out in two geographically distributed scientific experimental fields, Baoxie Sensor Web Experimental Field in Wuhan city and Yemaomian Landslide Monitoring Station in Three Gorges, with three typical sensors chosen as representatives using the prototype system Geospatial Sensor Web Common Service Platform. The results show that the proposed method is an open, online, closed-loop means of control.