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Abstract The analysis of the differences in metabolic profiles between naturally Ophiocordyceps sinensis (NO) and cultivated Ophiocordyceps sinensis (CO) is an essential process for the medicinal value mining of Ophiocordyceps sinensis. Non-targeted metabolomics was used to compare the differences in metabolite composition and abundance between NO and CO. Total metabolite composition found that NO is rich in organic acids and derivatives, and CO is rich in lipids and lipid-like molecules. HCA found that organooxygen compounds, cinchona alkaloid, and fatty acyls had different abundances in NO and CO. The variable importance in projection value and quantitative analysis of metabolites found that NO was rich in l-iditol, malate, linoleic acid, and oleic acid; CO is rich in sucrose, perseitol, hydroquinidine, nonanoic acid, 1-hydroxy-2-naphthoic acid, hymol-β-d-glucoside, and gly-his-lys. these compounds have the potential to be biomarkers of NO and CO. KEGG enrichment analysis showed that ascorbate and aldarate metabolism, carbon metabolism, pyrimidine metabolism, and fatty acid biosynthesis were the most different metabolic pathways between NO and CO. Therefore, the analysis of the characteristics of NO and CO metabolites has reference value for finding their different medicinal functions.

Abstract The complete cp genomes of Pedicularis chinensis (GenBank accession number: OQ587614) and Pedicularis kansuensis (GenBank accession number: OQ587613) were sequenced, assembled, and annotated. Their chloroplast (cp) genome lengths were 146,452 bp, and 146,852 bp, respectively; 120 and 116 genes were identified, comprising 75 and 72 protein-coding genes (PCGs), 37 and 36 transfer RNA (tRNA) genes, and 8 and 8 ribosomal RNA (rRNA) genes, for P. chinensis and P. kansuensis, respectively. A simple sequence repeat (SSR) analysis revealed that the repetitive sequences were mainly composed of mononucleotide repeats (A/T motif) and dinucleotide repeats (AT/TA motif). Comparative genomics identified several variant genes (rpl22, rps19, rpl12, ycf1, trnH, psbA, and ndhH) and variant regions (trnS-GGA, trnV-UAC, ndhJ-trnV, ycf4-cemA, ndhE-nhdG, and rpl32-trnL) with a high Pi, indicating the potential to serve as deoxyribo nucleic acid (DNA) barcodes for Pedicularis species identification. The results show that the cp genomes of P. chinensis and P. kansuensis were the same as those of other plants in Pedicularis, with different degrees of AT preference for codons. Large differences in the number of SSRs and the expansion of the inverted repeat (IR) region showed strong variability and interspecific differentiation between these two species and other species represented in the genus Pedicularis. A phylogenetic analysis showed that P. kansuensis had the closest relationship with P. oliveriana, and P. chinensis had the closest relationship with P. aschistorhyncha. These results will facilitate the study of the phylogenetic classification and interspecific evolution of Pedicularis plants.

As one of the top 10 famous flowers in Chinese tradition, Rhododendron przewalskii subsp. przewalskii known as ‘beauty in flowers,’ which has high ornamental and medicinal value. The complete chloroplast (cp) genome of R. przewalskii subsp. przewalskii was determined in this study. The complete chloroplast genome of R. przewalskii subsp. przewalskii was 201,233 bp in length and contained a large single-copy region (LSC, 108,077 bp), and a small single-copy region (SSC, 2624 bp) and a pair of inverted repeat regions (IRa and IRb, 45,266 bp). A total of 142 functional genes were observed in this cp genome, including 91 protein-coding genes (PCGs), 43 transfer RNA genes (tRNAs), and eight ribosomal RNA genes (rRNAs). The R. przewalskii subsp. przewalskii cp genome has an A + T content of 64.06% and presents a positive AT-skew (0.53%) and a negative GC-skew (−1.56%). The maximum likelihood phylogenetic analysis based on the concatenated nucleotide sequences of 13 PCGs strongly supported the monophyletic relationship of R. przewalskii subsp. przewalskii the clade of R. henanense subsp. lingbaoense. This study provides genomic evidence for the vegetation classification of Rhododendron.

During the subculture of filamentous fungi, obvious signs of degradation occur which affect the growth and development of the strain, change the content of metabolites, and interfere with gene expression. However, the specific molecular mechanism of filamentous fungi degradation is still unclear. In this study, a filamentous fungus Samsoniella hepiali was used as the research object, and it was continuously subcultured. The results showed that when the strain was subcultured to the F8 generation, the strain began to show signs of degradation, which was manifested by affecting the apparent morphology, reducing the growth rate and sporulation, and destroying the antioxidant system. Further transcriptome and metabolomics analyses were performed, and the results showed differentially expressed genes (DEGs) and differentially accumulated metabolites (DAMs) that were mainly enriched in four metabolic pathways: ABC transporters; fatty acid degradation; alanine, aspartate, and glutamate metabolism; and purine metabolism. Many of the metabolites that were significantly enriched in different pathways may mainly be regulated by genes belonging to proteins and enzymes, such as Abcd3, Ass1, and Pgm1. At the same time, in the process of subculture, many genes and metabolites that can induce apoptosis and senescence continue to accumulate, causing cell damage and consuming a lot of energy, which ultimately leads to the inhibition of mycelial growth. In summary, this study clarified the response of S. hepiali strains to key metabolic pathways during subculture and some reasons for the degradation of strains.

Cordyceps sinensis is a precious medicinal and edible fungus, which is widely used in body health care and disease prevention. The current research focuses on the comparison of metabolite characteristics between a small number of samples and lacks a comprehensive evaluation of the quality of C. sinensis in a large-scale space. In this study, LC-MS/MS, principal component analysis (PCA), hierarchical cluster analysis (HCA), and the membership function method were used to comprehensively evaluate the characteristics and quality of metabolites in 15 main producing areas of C. sinensis in China. The results showed that a total of 130 categories, 14 supercategories, and 1718 metabolites were identified. Carboxylic acids and derivatives, fatty acyls, organo-oxygen compounds, benzene and substituted derivatives, prenol lipids, and glycerophospholipids were the main components of C. sinensis. The HCA analysis and KEGG pathway enrichment analysis of 559 differentially accumulated metabolites (DAMs) showed that the accumulation models of fatty acids and conjugates and carbohydrates and carbohydrate conjugates in glycerophospholipid metabolism and arginine and proline metabolism may be one of the reasons for the quality differences in C. sinensis in different producing areas. In addition, a total of 18 biomarkers were identified and validated, which had a significant discrimination effect on the samples (p < 0.05). Overall, YS, BR, and ZD, with the highest membership function values, are rich and balanced in nutrients. They are excellent raw materials for the development of functional foods and provide scientific guidance for consumers to nourish health care.

Bistorta vivipara is a medicinal plant with a long history, but there are few studies on the effects of its medicinal components and endophytic bacteria on the accumulation of secondary metabolites. Therefore, in this study, non-targeted metabolomics techniques and 16s rDNA techniques were used to study B. vivipara from different regions. A total of 1290 metabolites and 437 differential metabolites were identified from all samples. Among them, flavonoids, isoflavonoids, and benzopyrans are the main medicinal components of B. vivipara; these have potential anticancer, antiviral, and antioxidant properties, as well as potential applications for the treatment of atrial fibrillation. In addition, irigenin, an important medicinal component, was identified for the first time. The endophytic bacterial communities in the root tissues of B. vivipara from different regions were also different in composition and richness. Hierarchical clustering heat map analysis showed that Proteobacteria and Actinobacteriota bacteria significantly affected the accumulation of many medicinal components in the roots of B. vivipara.

Fresh and dried Cordyceps sinensis are widely used by the public for medicinal and health purposes. However, the differences between them have not been examined. In this study, fresh wild and artificial C. sinensis (WFC and AFC) were dried to obtain dried wild and artificial C. sinensis (WDC and ADC). Non-targeted GC-MS was used to analyze the metabolic profile characteristics of the four groups of samples. The results showed that air drying significantly altered the composition and content of C. sinensis, mainly in the form of higher abundance of organic acids and derivatives and lower abundance of lipids and lipid-like molecules in fresh C. sinensis. Hierarchical cluster analysis (HCA) and quantitative analyses showed that air drying increased the abundance of Valine, Zinniol, Urocanate, Vulpinic acid, and Uridine 5’-diphosphate, and decreased Xanthotoxol, Vitexin-4-o-glucoside, Val-trp, and Wogonin. These differentially accumulated metabolites (DAMs) were also shown to be potential biomarkers for C. sinensis. KEGG enrichment analysis identified lysine biosynthesis as the most significantly enriched pathway. Annotation of these DAMs to lysine biosynthesis revealed that citrate cycle and pyruvate metabolism entered lysine biosynthesis via 2-oxohlutarate and Homocitrate, respectively, resulting in significant enrichment of L-saccharopine and L-lysine content was significantly higher. Alanine, aspartate, and Glutamate metabolism synthesized more L-aspartate to promote L-lysine synthesis. Thus, high levels of L-lysine result in lysine degradation and pymolysine, which are the most active metabolic pathways during the drying of fresh C. sinensis and indirectly lead to differences in metabolic profiles.