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Dracocephalum moldavica is widely used as an ornamental, medicine, and perfume in industry. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) is widely and accurately utilized for gene expression evaluations. Selecting optimal reference genes is essential for normalizing RT-qPCR results. However, the identification of suitable reference genes in D. moldavica has not been documented. A total of 12 reference genes in D. moldavica were identified by PEG6000 (15%) treatment under hypertonia conditions in different tissues (roots, stem, leaves, flower, seeds and sepal) and during three stages of flower development, then used to validate the expression stability. There were four algorithms (delta Ct, geNorm, NormFinder, and BestKeeper) used to analyze the stability. Finally, the RefFinder program was employed to evaluate the candidate reference genes’ stability. The results showed that ACTIN, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and EF1α (elongation factor-1α) were stable reference genes under the PEG6000 treatment. Heat shock protein 70 (HSP70) was the most stable gene across different flower development stages. ADP-ribosylation factor (ARF) was the most stable gene in different tissues and total samples. This study provides reliable gene expression studies for future research in D. moldavica.

Lacquer trees (Toxicodendron vernicifluum), economically vital, face high-temperature stress in summer. Transcriptomic, proteomic, and metabolomic analyses were employed to investigate the mechanisms by which lacquer trees respond to high temperatures. High-temperature treatment led to notable metabolite changes with 224 upregulated and 69 downregulated. Indole-3-acetic acid remained stable while abscisic acid decreased, with increases in jasmonic acid and jasmonoyl-L-isoleucine indicating complex hormonal responses. JAR1 and ABA 8′-hydroxylase encoding genes were upregulated. The rise in JAs boosted the alkaloid content and activated nitrogen transport. High temperatures also increased specific amino acids and upregulated aminotransferase and protease-encoding genes. Metabolomic analysis showed elevated flavonoid glycosides and the upregulation of glycosyltransferase genes. WPCNA found 35 protein modules involved in secondary metabolite biosynthesis, protein phosphorylation, and signal transduction. Protein–protein interaction analysis revealed MYC6’s link with flavonoid biosynthesis, indicating its role in promoting flavonoids.

The small regulatory C-TERMINALLY ENCODED PEPTIDE (CEP) peptide family plays crucial roles in plant growth and stress response. However, little is known about this peptide family in Brassica species. Here, we performed a systematic analysis to identify the putative Brassica rapa L. CEP (BrCEP) gene family. In total, 27 BrCEP genes were identified and they were classified into four subgroups based on the CEP motifs similarity. BrCEP genes displayed distinct expression patterns in response to both developmental and several environmental signals, suggesting their broad roles during Brassica rapa development. Furthuremore, the synthetic BrCEP3 peptide accelerated Brassica rapa primary root growth in a hydrogen peroxide (H2O2) and Ca2+ dependent manner. In summary, our work will provide fundamental insights into the physiological function of CEP peptides during Brassica rapa development.

In this study, we sequenced, annotated, and analyzed the complete mitochondrial genome of Matsumuramata muiri (Kirkaldy, 1907) (Hemiptera: Delphacidae). The mitogenome was 16,276 bp in length with high A + T content (76.28%), containing 13 protein-coding genes, 22 tRNA genes, two rRNA genes, and a control region. Gene rearrangement of M. muiri was congruent with those of some reported delphacid species. All protein-coding genes initiated with ATN, except for nad5, which used non-canonical start codon GTG. The predicted secondary structures of all tRNA genes were typical cloverleaf except for trnS1 (AGN), lacking the dihydrouridine (DHU) stem.

Quercus sessilifolia Blume is one of the dominant tree species in East Asian evergreen broadleaved forests. In this study, we assembled and characterized the plastome of Q. sessilifolia using Illumina paired-end data. The circular genome is 160,813 bp in size, consisting of two copies of inverted repeat (IR) regions of 25,862 bp, one large single-copy (LSC) region of 90,218 bp, and one small single-copy (SSC) region of 18,871 bp. It encodes a total of 113 unique genes, including 79 protein-coding genes, 30 tRNA genes, and four rRNA genes. Phylogenetic analysis based on 28 chloroplast genome sequences indicated that Q. sessilifolia was most closely related to Q. myrsinifolia with 90% bootstrap support.

Nitrogen (N) and phosphorus (P) are key elements essential for plant growth and development. Due to fertilizer application, rapid urbanization, and fossil fuel combustion, nitrogen deposition has reached relatively high levels in China. However, there is still uncertainty regarding the response of N:P stoichiometry in plants and soil to N deposition across different ecosystems. Therefore, a meta-analysis was conducted using 845 observations from 75 studies to evaluate the response of plant and soil N and P concentrations and N to P ratios across various ecosystems to N addition. The analysis revealed that N concentration and N:P stoichiometry in plants and soil increased under N addition, while P concentration in plants and soil decreased on average. Furthermore, the magnitude of these responses was related to the N input rate and experimental duration. Finally, the effects of N addition on N concentration, P concentration, and N:P in terrestrial ecosystems would alter their allocation patterns, depending on relevant climate factors such as mean annual temperature and mean annual precipitation. This study highlights the ecological impact of N addition on the biogeochemical cycling of major elements (N and P) in terrestrial ecosystems in China. These findings are necessary for improving our understanding of the characteristics of plant ecological stoichiometry and helping to plan measures for increasing N deposition.

Parnassius glacialis is a butterfly species distributed in China, Korea, Japan. The complete P. glacialis mitochondrial genome was assembled using Illumina sequencing data. The mitogenome is 15,353 bp long and contains 13 protein-coding genes, 22 transfer RNA genes, and 2 ribosomal RNA genes. A phylogenetic analysis of P. glacialis and 14 related Papilionidae species indicated that P. glacialis is clustered with other Parnassius species. This study generated useful genetic information for future studies on the taxonomy, phylogeny, and evolution of Papilionidae species.

Abstract Background To compare dual energy CT iodine imaging and standardized iodine concentration before and after chemoradiotherapy (CRT) for esophageal cancer and evaluate the efficacy of CRT for EC by examining DECT iodine maps and standard CT values. Methods The clinical data of 45 patients confirmed by pathology with newly diagnosed esophageal cancer who underwent concurrent CRT from February 2012 to January 2017 in our department of radiology were collected. All patients underwent dual-source dual-energy CT (DECT) before and after CRT. Normalized iodine concentration (NIC) and normalized CT (NCT) corresponding to the overall cancer lesion and its maximum cross-sectional area were observed and compared. Additionally, 30 healthy individuals were compared as control group. After treatment, the patients were divided into two groups according to RECIST1.1: treatment effective group and ineffective group. Results There were 33 patients (CR 9, PR 24) in the effective group and 12 patients (SD 12, PD 0) in the ineffective group. There was no significant difference in the NIC-A, NIC-V, NCT-A and NCT-A indexes between the effective group (B group) and the ineffective group (C group) before treatment (P > 0.05). After the treatment, the above-mentioned indexes in the effective group of patients were significantly lower than before treatment, and compared with the ineffective group, the NIC-A, NIC-V, NCT-A and NCT-V values of the effective group were significantly lower than those of ineffective group (P 0.05). Conclusion Using DECT iodine map, the changes of NIC and NIC before and after CRT in patients with esophageal cancer can evaluate the effect of CRT, and does not increase the radiation dose, so it is suitable for clinical use.

Automatic brain tumor classification is a practicable means of accelerating clinical diagnosis. Recently, deep convolutional neural network (CNN) training with MRI datasets has succeeded in computer-aided diagnostic (CAD) systems. To further improve the classification performance of CNNs, there is still a difficult path forward with regards to subtle discriminative details among brain tumors. We note that the existing methods heavily rely on data-driven convolutional models while overlooking what makes a class different from the others. Our study proposes to guide the network to find exact differences among similar tumor classes. We first present a “dual suppression encoding” block tailored to brain tumor MRIs, which diverges two paths from our network to refine global orderless information and local spatial representations. The aim is to use more valuable clues for correct classes by reducing the impact of negative global features and extending the attention of salient local parts. Then we introduce a “factorized bilinear encoding” layer for feature fusion. The aim is to generate compact and discriminative representations. Finally, the synergy between these two components forms a pipeline that learns in an end-to-end way. Extensive experiments exhibited superior classification performance in qualitative and quantitative evaluation on three datasets.

Distylium macrophyllum H.T.Chang is a critically endangered tree species endemic to southern China. In this study, we assembled and characterized the plastome of D. macrophyllum using Illumina paired-end data. The circular genome is 159,089 bp in size, consisting of two copies of inverted repeat (IR) regions of 26,235 bp, one large single-copy (LSC) region of 87,822 bp, and one small single-copy (SSC) region of 18,797 bp. It encodes a total of 114 unique genes, including 80 protein-coding genes, 30 tRNA genes, and four rRNA genes. Phylogenetic analysis based on 13 cp genome sequences indicated that D. macrophyllum was sister to the clade of D. tsiangii and Parrotia subaequalis.

We evaluated the biomass and contents of five major macronutrients (N, P, K, Ca and Mg) in 10-year-old poplar trees (Populus deltoids Bartr. cv. "Lux"), and determined their nutrient use efficiencies (NUEs) at Zhoushan Forestry Farm (32°20' N, 119°40' E), Jiangsu province, in eastern China. The above- and below-ground biomass of poplar trees was 161.7 t ha(-1), of which 53.3% was stemwood. The nutrient contents in the aboveground part were as follows: 415.1 kg N ha(-1), 29.7 kg P ha(-1), 352.0 kg K ha(-1), 1083.0 kg Ca ha(-1), and 89.8 kg Mg ha(-1). The highest nutrient contents were in stembark, followed by branches, roots, stemwood, and foliage. The NUEs of the aboveground parts of poplar for N, P, K, Ca and Mg were 0.313, 4.377, 0.369, 0.120, 1.448 t dry biomass kg(-1) nutrient, respectively, while those of stemwood were 1.294, 33.154, 1.253, 0.667, and 3.328 t dry biomass kg(-1), respectively. The cycling coefficients, defined as the percentage of annual nutrient return in annual nutrient uptake, of N, P, K, Ca and Mg for the aboveground part were 87, 95, 69, 92, and 84%, respectively. Based on the NUE and nutrient cycling characteristics, shifting from whole-tree harvesting to stemwood-only harvesting and appropriately extending the harvest rotation could prevent site deterioration and support sustainable productivity of poplar plantation systems.

Natural secondary forest has a strong capacity to regrow naturally and recover biodiversity rapidly on abandoned lands. However, at the neighborhood scale, which can truly reflect the facilitative or competitive interactions among individual plants, the local diversity spatial structure in secondary forest and the feedback effects of neighborhood diversity on natural regeneration remain unclear, and this may be the key to properly understand the mechanisms of natural secondary forest species diversity recovery. To this end, this study established a dynamic plot in a rehabilitated secondary forest after disturbance and conducted a comprehensive survey of 68,336 individual plants with repeated measurements at 5-year interval to assess the characteristics of neighborhood diversity structure across life history stages and link the neighborhood species richness (NSR) effect translated by species interactions at species diversity structure with individual trees recruitment/mortality in secondary forest regeneration. The results showed that, compared with tropical and temperate natural forests, a higher proportion of diversity accumulators and a lower proportion of repellers in subtropical secondary forests resulted in neighborhood diversity structures characterized by heterospecific or high-diversity patches, which are beneficial to the maintenance or restoration of biodiversity. As an important supplement to the research on the relationship between diversity and productivity, our findings show a positive diversity–survival relationship in subtropical secondary forests. Importantly, we observed that the neighborhood diversity structure exhibited a trend of accumulator-dominated to neutral-dominant changes with life stage from sapling to adult, which, in turn, determined the direction and strength of NSR effects on recruitment/mortality. Specifically, diverse local neighborhoods at a later successional stage characterized with ‘neutral’ species–species interactions can act as a ‘welfare net’ by offering favorable microhabitats for the most vulnerable recruitments or saplings, i.e., the NSR effects that promoted individual recruitment/survival in our study. These results not only enrich our understanding of the biodiversity–productivity–survival relationship but also highlight the importance of retaining latesuccessional species of native trees in intensive forest production or in situ conservation policies. [ABSTRACT FROM AUTHOR]

Abstract Online communication is one of the most significant factors that affect the growth and development of contemporary college students. The purpose of this study was to examine the mechanisms of online social support in the relationship between online communication and the positive psychological capital of college students in China. Drawing on social exchange theory, the research employed a sample of 1,212 Chinese college students and incorporated online social support as a mediating variable. The investigation constructed a research model using the College Students’ Online Communication Questionnaire, Online Social Support Questionnaire, and Positive Psychological Capital Questionnaire to examine the intricate relationship among online communication, online social support, and positive psychological capital. The study found that both online self-expression and online extended relationship actions positively influenced students’ positive psychological capital. However, online social participation did not demonstrate an impact on this measure. Furthermore, online social support was found to partially mediate the connection between online self-expression and positive psychological capital as well as between online extended relationships and positive psychological capital. Online social support fully mediated the relationship between online social participation and positive psychological capital.

Radon (Rn) and its decay products are the primary sources of natural ionizing radiation exposure for the public, posing significant health risks, including being a leading cause of lung cancer. Porous material-based adsorbents offer a feasible and efficient solution for controlling Rn concentrations in various scenes to achieve safe levels. However, due to competitive adsorption between Rn and water, finding candidates with a higher affinity and capacity for capturing Rn in humid air remains a significant challenge. Here, we conducted high-throughput computational screening of 8641 two-dimensional covalent organic frameworks (2D COFs) in moist air using grand canonical Monte Carlo simulations. We identified the top five candidates and revealed the structure–performance relationship. Our findings suggest that a well-defined cavity with an approximate spherical inner space, with a diameter matching that of Rn, is the structural basis for a proper Rn capturing site. This is because the excellent steric match between the cavity and Rn maximizes their van der Waals dispersion interactions. Additionally, the significant polarization electrostatic potential surface of the cavity can regulate the adsorption energy of water and ultimately impact Rn selectivity. Our study offers a potential route for Rn management using 2D COFs in moist air and provides a scientific basis for further experimentation.