Plastome evolution of Engelhardia facilitates phylogeny of Juglandaceae.

BACKGROUND: Engelhardia (Juglandaceae) is a genus of significant ecological and economic importance, prevalent in the tropics and subtropics of East Asia. Although previous efforts based on multiple molecular markers providing profound insights into species delimitation and phylogeography of Engelhardia, the maternal genome evolution and phylogeny of Engelhardia in Juglandaceae still need to be comprehensively evaluated. In this study, we sequenced plastomes from 14 samples of eight Engelhardia species and the outgroup Rhoiptelea chiliantha, and incorporated published data from 36 Juglandaceae and six outgroup species to test phylogenetic resolution. Moreover, comparative analyses of the plastomes were conducted to investigate the plastomes evolution of Engelhardia and the whole Juglandaceae family. RESULTS: The 13 Engelhardia plastomes were highly similar in genome size, gene content, and order. They exhibited a typical quadripartite structure, with lengths from 161,069 bp to 162,336 bp. Three mutation hotspot regions (TrnK-rps16, ndhF-rpl32, and ycf1) could be used as effective molecular markers for further phylogenetic analyses and species identification. Insertion and deletion (InDels) may be an important driving factor for the evolution of plastomes in Juglandoideae and Engelhardioideae. A total of ten codons were identified as the optimal codons in Juglandaceae. The mutation pressure mostly contributed to shaping codon usage. Seventy-eight protein-coding genes in Juglandaceae experienced relaxed purifying selection, only rpl22 and psaI genes showed positive selection (Ka/Ks > 1). Phylogenetic results fully supported Engelhardia as a monophyletic group including two sects and the division of Juglandaceae into three subfamilies. The Engelhardia originated in the Late Cretaceous and diversified in the Late Eocene, and Juglandaceae originated in the Early Cretaceous and differentiated in Middle Cretaceous. The phylogeny and divergence times didn't support rapid radiation occurred in the evolution history of Engelhardia. CONCLUSION: Our study fully supported the taxonomic treatment of at the section for Engelhardia species and three subfamilies for Juglandaceae and confirmed the power of phylogenetic resolution using plastome sequences. Moreover, our results also laid the foundation for further studying the course, tempo and mode of plastome evolution of Engelhardia and the whole Juglandaceae family.

Diagnostic potential of soluble ST2 and D-dimer for Stanford Type B aortic dissection and intramural aortic hematoma.

OBJECTIVE: Type B aortic dissection (TBAD) and intramural aortic hematoma (IMH) are common manifestations of Acute Aortic Syndrome (AAS), exhibiting overlapping clinical features. The timely and accurate diagnosis and differentiation between TBAD and IMH are critical for appropriate management. Tumorigenicity 2 (sST2) and D-dimer have been shown to elevate levels in both TBAD and IMH, making them valuable as "rule-out" markers. Hence, we aimed to assess the diagnostic utility of sST2 and D-dimer in distinguishing TBAD from IMH. METHODS: In this retrospective study, we analyzed serum levels of sST2 and D-dimer in 182 AAS patients, comprising 90 TBAD cases, 92 IMH cases, and 90 non-AAS cases. Serial measurements were taken at 1 h, 6 h, 12 h, 24 h, and 72 h post-admission. Comparative analyses were conducted between TBAD and non-AAS cases, IMH and non-AAS cases, and TBAD and IMH cases. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of sST2 and D-dimer in identifying TBAD or IMH cases. RESULTS: Both TBAD and IMH patients displayed elevated levels of sST2 and D-dimer compared to non-AAS cases. Notably, sST2 levels were significantly higher in TBAD patients than in IMH patients, whereas D-dimer levels exhibited moderate differences. TBAD patients tended to exhibit elevated levels of either sST2 or D-dimer, with a modest correlation between the two (Pearson correlation coefficient = 0.3614). In contrast, IMH patients showed elevations in both markers, with a positive correlation between them (Pearson correlation coefficient = 0.6814). The ROC analysis revealed that both sST2 (AUC, 0.657; 95 % CI, 0.552-0.753; cutoff value, 27.54 ng/ml) and D-dimer (AUC, 0.695; 95 % CI, 0.591-0.787, cutoff value, 1.215 ng/ml) demonstrated favorable diagnostic performance for TBAD. sST2 exhibited a sensitivity of 80.92 % and a specificity of 75.00 %, while D-dimer showed a sensitivity of 80.92 % and a specificity of 75.00 %. For the diagnosis of IMH, the combined assessment of sST2 and D-dimer (AUC, 0.674; 95 % CI, 0.599-0.768; sensitivity, 69.20 %; specificity, 80.00 %) proved effective. CONCLUSIONS: Our results indicate that both sST2 and D-dimer show diagnostic potential for TBAD. Elevated levels of either serve as an indicator of TBAD onset. However, concurrent elevation of both markers seems to be indicative of IMH. The combination of increased sST2 and D-dimer levels demonstrates strong diagnostic performance in identifying IMH cases.

Circ_BLNK is a Unique Molecular Marker in Non-small Cell Lung Cancer.

Non-small cell lung cancer (NSCLC) patients are characterized by distant metastasis and poor prognosis. Growing evidence has implied that circular RNAs (circRNAs) are involved in multiple tumor progression, including NSCLC. The objective of the present study was to functionally dissect the role and mechanism of circ_BLNK in NSCLC development and progression. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to detect the expression of circ_BLNK, miR-942-5p, and forkhead box protein O1 (FOXO1) in NSCLC tissues and cells. 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) assay, 5-ethynyl-2'-deoxyuridine (EdU) assay and colony formation assay detected cell proliferation; the protein expression levels were tested by western blot assay; cell apoptosis was measured by flow cytometry, and transwell assay detected cell migration and invasion. The molecular targeting relationship was determined by dual-luciferase reporter assay. The effect of circ_BLNK overexpression on tumor growth was detected by in vivo experiments and immunohistochemistry. Circ_BLNK was dramatically decreased in NSCLC, and overexpression of circ_BLNK inhibited proliferation, migration, and invasion of NSCLC cells and promoted cell apoptosis. Circ_BLNK level was negatively correlated with miR-942-5p expression and positively correlated with FOXO1 expression. Moreover, circ_BLNK acted as a sponge for miR-942-5p, which targeted FOXO1. Rescue assays presented that miR-942-5p reversed the anticancer action of circ_BLNK in NSCLC. Besides that, miR-942-5p inhibition suppressed the oncogenic behaviors, which were attenuated by FOXO1 knockdown. Animal experiments exhibited that circ_BLNK upregulation repressed tumor growth in vivo. Our study demonstrated a novel regulatory mechanism that circ_BLNK/miR-942-5p/FOXO1 axis adjusted non-small cell lung cancer development.

Octanal enhances disease resistance in postharvest citrus fruit by the biosynthesis and metabolism of aromatic amino acids.

Octanal was found to be able to reduce green mold incidence in citrus fruit by a defense response mechanism. However, the underlying mechanism remains largely unclear. Herein, the metabolomics, RNA-seq and biochemical analyses were integrated to explore the effect of octanal on disease resistance in harvested citrus fruit. Results showed that octanal fumigation at 40 µL L-1 was effective in controlling citrus green mold. Metabolomics analysis showed that octanal mainly led to the accumulation of some plant hormones including methyl jasmonate, abscisic acid, indole-3-butyric acid, indoleacetic acid (IAA), salicylic acid, and gibberellic acid and many phenylpropanoid metabolites including cinnamyl alcohol, hesperidin, dihydrokaempferol, vanillin, quercetin-3-O-malonylglucoside, curcumin, naringin, chrysin, coniferin, calycosin-7-O-ß-D-glucoside, trans-cinnamaldehyde, and 4',5,7-trihydroxy-3,6-dimethoxyflavone. Particularly, IAA and hesperidin were dramatically accumulated in the peel, which might be the contributors to the resistance response. Additionally, transcriptome analysis showed that octanal greatly activated the biosynthesis and metabolism of aromatic amino acids. This was further verified by the accumulation of some metabolites (shikimic acid, tryptophan, tyrosine, phenylalanine, IAA, total phenolics, flavonoids and lignin), increase in some enzyme activities (phenylalanine ammonia-lyase, tyrosine ammonia-lyase, 4-coumarate CoA ligase, cinnamic acid 4-hydroxylase, polyphenol oxidase, and peroxidase), up-regulation of some genes (tryptophan pyruvate aminotransferase, aldehyde dehydrogenase, shikimate kinase and shikimate dehydrogenase) expressions and molecular docking results. Thus, these results indicate that octanal is an efficient strategy for the control of postharvest green mold by triggering the defense response in citrus fruit.

Expression and bioinformatics analysis of RPL38 protein and mRNA in gastric cancer.

We aimed to clarify the expression of RPL38 in gastric cancer, explore the relationship between the expression level of RPL38 and the clinicopathological parameters and prognosis of gastric cancer patients, and explore whether RPL38 has the potential to be used as a therapeutic target for gastric cancer and a biomarker for assessing prognosis. The mRNA and protein expression of RPL38 in gastric cancer tissues and normal tissues were compared by TIMER, Kaplan-Meier plotter, CCLE and UALCAN databases, respectively. Next, the relationship between the expression level of RPL38 in gastric cancer tissues and clinicopathological features was analysed using the UALCAN database. The Kaplan-Meier plotter database was then used to predict the prognostic value of RPL38 in gastric cancer patients, and overall survival curves were plotted based on the follow-up information of clinical specimens. The relationship between RPL38 expression and the level of immune infiltration in gastric cancer was explored using the TIMER database. Finally, co-expression analysis as well as enrichment analysis of RPL38 was performed using LinkedOmics database and GSEA, respectively. Through comprehensive bioinformatics analysis and immunohistochemistry experiments, we comprehensively concluded that RPL38 was highly expressed in gastric cancer. Univariate analysis showed that TNM stage (P=0.008), radiotherapy (P=0.02), and RPL38 expression level (P=0.0006) were associated with prognosis. Multifactorial analysis showed that RPL38 expression level (P=0.019), TNM stage (P=0.015) and radiotherapy (P=0.039) were independent risk factors affecting the prognosis of gastric cancer. Gastric cancer patients with high expression of RPL38 had poorer OS. In addition, RPL38 was associated with immune infiltration in gastric cancer. RPL38 is highly expressed in gastric cancer tissues, and RPL38 protein plays an important role in the development of gastric cancer, which is one of the important factors in assessing the prognosis of gastric cancer patients.

Comprehensive Analysis of the Complete Mitochondrial Genome of Rehmannia chingii: An Autotrophic Species in the Orobanchaceae Family.

Rehmannia chingii is an important medicinal plant with immense value in scientific research. However, its mitochondrial genome (mitogenome) has not yet been characterized. Herein, based on whole-genome Illumina short reads and PacBio HiFi reads, we obtained the complete mitogenome of R. chingii through a de novo assembly strategy. We carried out comparative genomic analyses and found that, in comparison with the plastid genome (plastome) showing a high degree of structural conservation, the R. chingii mitogenome structure is relatively complex, showing an intricate ring structure with 16 connections, owing to five repetitive sequences. The R. chingii mitogenome was 783,161 bp with a GC content of 44.8% and contained 77 genes, comprising 47 protein-coding genes (CDS), 27 tRNA genes, and 3 rRNA genes. We counted 579 RNA editing events in 47 CDS and 12,828 codons in all CDSs of the R. chingii mitogenome. Furthermore, 24 unique sequence transfer fragments were found between the mitogenome and plastome, comprising 8 mitogenome CDS genes and 16 plastome CDS genes, corresponding to 2.39% of the R. chingii mitogenome. Mitogenomes had shorter but more collinear regions, evidenced by a comparison of the organelles of non-parasitic R. chingii, hemiparasitic Pedicularis chinensis, and holoparasitic Aeginetia indica in the Orobanchaceae family. Moreover, from non-parasitic to holoparasitic species, the genome size in the mitogenomes of Orobanchaceae species did not decrease gradually. Instead, the smallest mitogenome was found in the hemiparasitic species P. chinensis, with a size of 225,612 bp. The findings fill the gap in the mitogenome research of the medicinal plant R. chingii, promote the progress of the organelle genome research of the Orobanchaceae family, and provide clues for molecular breeding.

A phylogenetic approach identifies patterns of beta diversity and floristic subregions of the Qinghai-Tibet Plateau.

Patterns of taxonomic and phylogenetic beta diversity and their relationships with environmental correlates can help reveal the origin and evolutionary history of regional biota. The Qinghai-Tibet Plateau (QTP) harbors an exceptionally diverse flora, however, a phylogenetic perspective has rarely been used to investigate its beta diversity and floristic regions. In this study, we used a phylogenetic approach to identify patterns of beta diversity and quantitatively delimit floristic regions on the Qinghai-Tibet Plateau. We also examined the relationships between multifaceted beta diversity, geographical distance, and climatic difference, and evaluated the relative importance of various factors (i.e., climate, topography and history) in shaping patterns of beta diversity. Sørensen dissimilarity indices indicated that patterns of species turnover among sites dominated the QTP. We also found that patterns of both taxonomic and phylogenetic beta diversity were significantly related to geographical distance and climatic difference. The environmental factors that contributed most to these patterns of beta diversity include annual precipitation, mean annual temperature, climatic gradients and climatic instability. Hierarchical dendrograms of dissimilarity and non-metric multidimensional scaling ordination based on phylogenetic beta diversity data identified ten floristic subregions in the QTP. Our results suggest that the contemporary environment and historical climate changes have filtered species composition among sites and eventually determined beta diversity patterns of plants in the QTP.