Ethylene controls three-dimensional growth involving reduced auxin levels in the moss Physcomitrium patens.

The conquest of land by plants was concomitant with, and possibly enabled by, the evolution of three-dimensional (3D) growth. The moss Physcomitrium patens provides a model system for elucidating molecular mechanisms in the initiation of 3D growth. Here, we investigate whether the phytohormone ethylene, which is believed to have been a signal before land plant emergence, plays a role in 3D growth regulation in P. patens. We report ethylene controls 3D gametophore formation, based on results from exogenously applied ethylene and genetic manipulation of PpEIN2, which is a central component in the ethylene signaling pathway. Overexpression (OE) of PpEIN2 activates ethylene responses and leads to earlier formation of gametophores with fewer gametophores produced thereafter, phenocopying ethylene-treated wild-type. Conversely, Ppein2 knockout mutants, which are ethylene insensitive, show initially delayed gametophore formation with more gametophores produced later. Furthermore, pharmacological and biochemical analyses reveal auxin levels are decreased in the OE lines but increased in the knockout mutants. Our results suggest that evolutionarily, ethylene and auxin molecular networks were recruited to build the plant body plan in ancestral land plants. This might have played a role in enabling ancient plants to acclimate to the continental surfaces of the planet.

Cryptochrome 1b represses gibberellin signaling to enhance lodging resistance in maize.

Maize (Zea mays L.) is one of the most important crops worldwide. Photoperiod, light quality, and light intensity in the environment can affect the growth, development, yield, and quality of maize. In Arabidopsis (Arabidopsis thaliana), cryptochromes are blue-light receptors that mediate the photocontrol of stem elongation, leaf expansion, shade tolerance, and photoperiodic flowering. However, the function of maize cryptochrome ZmCRY in maize architecture and photomorphogenic development remains largely elusive. The ZmCRY1b transgene product can activate the light signaling pathway in Arabidopsis and complement the etiolation phenotype of the cry1-304 mutant. Our findings show that the loss-of-function mutant of ZmCRY1b in maize exhibits more etiolation phenotypes under low blue light and appears slender in the field compared with wild-type plants. Under blue and white light, overexpression of ZmCRY1b in maize substantially inhibits seedling etiolation and shade response by enhancing protein accumulation of the bZIP transcription factors ELONGATED HYPOCOTYL 5 (ZmHY5) and ELONGATED HYPOCOTYL 5-LIKE (ZmHY5L), which directly upregulate the expression of genes encoding gibberellin (GA) 2-oxidase to deactivate GA and repress plant height. More interestingly, ZmCRY1b enhances lodging resistance by reducing plant and ear heights and promoting root growth in both inbred lines and hybrids. In conclusion, ZmCRY1b contributes blue-light signaling upon seedling de-etiolation and integrates light signals with the GA metabolic pathway in maize, resulting in lodging resistance and providing information for improving maize varieties.

FGD5-AS1/miR-5590-3p/PINK1 induces Lenvatinib resistance in hepatocellular carcinoma.

BACKGROUND: Lenvatinib is a common systemic treatment for advanced hepatocellular carcinoma (HCC), the resistance to which presents a great challenge. However, the mechanism of lenvatinib resistance in HCC remains unclear. Therefore, elucidating the underlying and key regulatory molecular mechanisms of lenvatinib resistance is urgently needed. METHODS: Bioinformatic enrichment analysis was used to investigate the gene associated with lenvatinib resistance. RT-PCR, Western blot, immunohistochemistry, and luciferase assays were used to explore the mechanisms of lenvatinib resistance. The effects of the FGD5-AS1/miR-5590-3p/PINK1 axis on lenvatinib resistance were evaluated by colony formation assay, cell viability, apoptosis, mitochondrial homeostasis, and morphology analyses. RESULTS: Higher expression of PINK1 was observed in lenvatinib-resistant cells and tissues. PINK1 could be activated by increased FGD5-AS1 expression, thereby maintaining the mitochondrial structure and function and promoting the antioxidative stress response. FGD5-AS1/miR-5590-3p showed competitive regulation of PINK1, which affected lenvatinib sensitivity through regulation of mitochondrial structure and antioxidative stress. CONCLUSIONS: PINK1 was identified as a key gene leading to lenvatinib resistance by maintaining the mitochondrial structure and function. The FGD5-AS1/miR-5590-3p/PINK1 axis may be a promising strategy to overcome lenvatinib resistance in treatment-negative patients.

Metabolomic and transcriptomic analyses provide insights into variations in flavonoids contents between two Artemisia cultivars.

BACKGROUND: Plants in the genus Artemisia are rich in active ingredients and specialized metabolites. Many of these compounds, especially flavonoids, have potential medicinal and nutritional applications, and are of growing interest to scientists due to their wide range of pharmacological and biological activities. Artemisia cultivars are commonly used as raw materials for medicine, food, and moxibustion in China. However, most of the metabolites produced by Artemisia species have not been identified, and few studies have addressed differences in active compounds between species and cultivars. RESULTS: We here investigated two Artemisia cultivars, 'Nanyangshiyong' (NYSY) and 'Nanyangyaoyong' (NYYY), which are commonly used in foods and moxibustion, respectively. NYSY and NYYY were confirmed to be Artemisia argyi cultivars. Total flavonoids contents and antioxidant activities were higher in NYYY than in NYSY. A total of 882 metabolites were identified in the samples; most of the potentially medicinally active compounds, especially flavonoids (e.g., flavone, flavonol, isoflavone, and anthocyanin), were up-regulated in NYYY compared to NYSY. Furthermore, most of the genes related to flavonoids biosynthesis were up-regulated in NYYY. Correlation analysis was used to identify putative members of transcription factor families that may regulate genes encoding key flavonoids biosynthesis enzymes. CONCLUSIONS: We found that the antioxidant activities and flavonoids contents significantly varied between two Artemisia cultivars of the same species. We also uncovered metabolomic and transcriptomic evidence of the molecular phenomena underlying those differences in flavonoids contents between the two Artemisia cultivars. This study provides a wealth of data for future utilization and improvements of Artemisia cultivars, and highlights a need to study the specific metabolite profiles of plants that are used in foods and medicines.

Quantitative fingerprint and antioxidative properties of Artemisia argyi leaves combined with chemometrics.

Quantitative fingerprint and differences of Artemisia argyi from different varieties, picking time, aging year, and origins were analyzed combing with chemometrics. The antioxidant activity was determined and antioxidant markers of Artemisia argyi were screened. Variety WA3 was significantly different from that of the other varieties. Fingerprint peak response and antioxidant activity of A. argyi picked in December were lower than samples collected in May and August. Fresh A. argyi leaves were significantly superior to withered leaves and stems. Artemisia argyi aging 1-5 years presented a classification trend. Antioxidant activity of A. argyi produced in Nanyang was generally superior to others origins. Peak 9, isochlorogenic acid A, and 6-methoxyluteolin contributed greatly for classification of A. argyi from different variety, picking time, aging year, and origin. Isochlorogenic acid A, isochlorogenic acid C, 6-methoxyluteolin, and chlorogenic acid were selected as antioxidant marker of A. argyi. The method based on quantitative fingerprint, antioxidant activity evaluation, and chemometrics was reliable to analyze the differences of A. argyi samples from different sources.

Arabidopsis phytochromes A and B synergistically repress SPA1 under blue light.

In Arabidopsis, although studies have demonstrated that phytochrome A (phyA) and phyB are involved in blue light signaling, how blue light-activated phytochromes modulate the activity of the CONSTITUTIVELY PHOTOMORPHOGENIC1 (COP1)-SUPPRESSOR OF PHYA-105 (SPA1) E3 complex remains largely unknown. Here, we show that phyA responds to early and weak blue light, whereas phyB responds to sustainable and strong blue light. Activation of both phyA and phyB by blue light inhibits SPA1 activity. Specifically, blue light irradiation promoted the nuclear import of both phytochromes to stimulate their binding to SPA1, abolishing SPA1's interaction with LONG HYPOCOTYL 5 (HY5) to release HY5, which promoted seedling photomorphogenesis.

HFR1, a bHLH Transcriptional Regulator from Arabidopsis thaliana, Improves Grain Yield, Shade and Osmotic Stress Tolerances in Common Wheat.

Common wheat, Triticum aestivum, is the most widely grown staple crop worldwide. To catch up with the increasing global population and cope with the changing climate, it is valuable to breed wheat cultivars that are tolerant to abiotic or shade stresses for density farming. Arabidopsis LONG HYPOCOTYL IN FAR-RED 1 (AtHFR1), a photomorphogenesis-promoting factor, is involved in multiple light-related signaling pathways and inhibits seedling etiolation and shade avoidance. We report that overexpression of AtHFR1 in wheat inhibits etiolation phenotypes under various light and shade conditions, leading to shortened plant height and increased spike number relative to non-transgenic plants in the field. Ectopic expression of AtHFR1 in wheat increases the transcript levels of TaCAB and TaCHS as observed previously in Arabidopsis, indicating that the AtHFR1 transgene can activate the light signal transduction pathway in wheat. AtHFR1 transgenic seedlings significantly exhibit tolerance to osmotic stress during seed germination compared to non-transgenic wheat. The AtHFR1 transgene represses transcription of TaFT1, TaCO1, and TaCO2, delaying development of the shoot apex and heading in wheat. Furthermore, the AtHFR1 transgene in wheat inhibits transcript levels of PHYTOCHROME-INTERACTING FACTOR 3-LIKEs (TaPIL13, TaPIL15-1B, and TaPIL15-1D), downregulating the target gene STAYGREEN (TaSGR), and thus delaying dark-induced leaf senescence. In the field, grain yields of three AtHFR1 transgenic lines were 18.2-48.1% higher than those of non-transgenic wheat. In summary, genetic modification of light signaling pathways using a photomorphogenesis-promoting factor has positive effects on grain yield due to changes in plant architecture and resource allocation and enhances tolerances to osmotic stress and shade avoidance response.

A chromosome-level genome assembly for Dracaena cochinchinensis reveals the molecular basis of its longevity and formation of dragon's blood.

Dracaena, a remarkably long-lived and slowly maturing species of plant, is world famous for its ability to produce dragon's blood, a precious traditional medicine used by different cultures since ancient times. However, there is no detailed and high-quality genome available for this species at present; thus, the molecular mechanisms that underlie its important traits are largely unknown. These factors seriously limit the protection and regeneration of this rare and endangered plant resource. Here, we sequenced and assembled the genome of Dracaena cochinchinensis at the chromosome level. The D. cochinchinensis genome covers 1.21 Gb with a scaffold N50 of 50.06 Mb and encodes 31 619 predicted protein-coding genes. Analysis showed that D. cochinchinensis has undergone two whole-genome duplications and two bursts of long terminal repeat insertions. The expansion of two gene classes, cis-zeatin O-glucosyltransferase and small auxin upregulated RNA, were found to account for its longevity and slow growth. Two transcription factors (bHLH and MYB) were found to be core regulators of the flavonoid biosynthesis pathway, and reactive oxygen species were identified as the specific signaling molecules responsible for the injury-induced formation of dragon's blood. Our study provides high-quality genomic information relating to D. cochinchinensis and significant insight into the molecular mechanisms responsible for its longevity and formation of dragon's blood. These findings will facilitate resource protection and sustainable utilization of Dracaena.

Arabidopsis SPA2 represses seedling de-etiolation under multiple light conditions.

In Arabidopsis, phytochrome (phy) A, phyB, and cryptochrome 1 (cry1) are representative far-red, red, and blue light photoreceptors, respectively. Members of the SUPPRESSOR OF PHYA-105 (SPA) protein family (SPA1-SPA4) form E3 ubiquitin ligase complexes with CONSTITUTIVE PHOTOMORPHOGENIC1 (COP1), which mediates the degradation of photomorphogenesis-promoting factors to desensitize light signaling. SPA2 has been reported to promote seedling etiolation in the dark. However, the unique roles of SPA2 and its three functional domains in suppressing photomorphogenesis under different light conditions are largely unknown. Here, we demonstrate that overexpression of the full-length or the central coiled-coil and C-terminal WD-repeat domains of SPA2 cause hyper-etiolation phenotypes under several light conditions. The SPA2 central coiled-coil and C-terminal WD-repeat domains are necessary and sufficient for repressing seedling de-etiolation, cotyledon unfolding, and promoting hypocotyl negative gravitropism under several light conditions. Furthermore, phyA, phyB, cry1, and COP1 repress protein accumulation or nuclear translocation of SPA2 through direct interactions with its kinase-like and coiled-coil domains located in the N-terminus in response to far-red, red, and blue light treatments, respectively. Taken together, our results demonstrate that SPA2 functions under multiple light conditions; moreover, light-activated photoreceptors rapidly suppress SPA2 activity via direct interactions in response to different light treatments.

A Factor Analysis Model for Rapid Evaluation of the Semen Quality of Fertile Men in China.

Objective: The objective of this study is to reduce the dimension of several indicators with a strong correlation when conducting semen quality analysis in a small number of comprehensive variables that could retain most of the information in the original variables. Methods: A total of 1132 subjects were recruited from the Maternal and Child Health Institutions of seven provinces in mainland China. They completed the questionnaire and provided semen samples. Visualization of the correlation between variables was realized by using a function chart and correlation in the PerformanceAnalytics package of the R programming language (version 3.6.3 [2020-02-29]). Factor analysis was conducted using the principal function in the psych package of R. Principal component analysis, combined with varimax rotation, was used in the operation of the model, and two common factors were selected and measured to provide values for the common factor. The score coefficient was estimated using the regression method. Results: The contribution rates of the two common factors to variable X were 43.7% and 33.98%, respectively. When the two common factors were selected, approximately 78% of the information of the original variables could be explained. The correlation coefficients between the first common factor (the quantitative factor) and sperm density, total sperm count, and semen volume were 0.824, 0.984, and 0.544, respectively. The correlation coefficients between the second common factor (the quality factor) and sperm motility and the percentage of forward-moving (progressive spermatozoa) sperm were 0.978 and 0.976, respectively. Conclusion: The correlation between the original variables of a semen quality analysis was strong and suitable for dimensionality reduction by factor analysis. Factor analysis and dimensionality reduction provide a fast and accurate assessment of semen quality. Patients with low fertility or infertility can be identified and provided with corresponding treatments.

Study on Influencing Factors of Semen Quality in Fertile Men.

Objective: To establish a system for evaluation of semen quality in fertile men by factor analysis (FA). Methods: The FA method was used to analyze five sperm test indicators for fertile men (sperm pH, sperm motility, sperm progressive motility, semen density, and total sperm number) to determine the evaluation standard of semen quality. Pearson analysis was adopted for correlation testing. Results: The comprehensive score formula for semen quality of normal fertile men was as follows: comprehensive score of semen quality = (0.38272 F1 + 0.36359 F2 + 0.20018 F 3)/94.699. Across the whole fertile population, semen quality was found to be correlated with abstinence period, age of first spermatorrhea, and frequency of intercourse. Smoking, drinking, and place of residence were correlated with semen quality in the high semen quality population. In the population with medium semen quality, only the abstinence period was associated with semen quality. Conclusion: It is feasible to evaluate the semen quality of fertile men using the FA method. The comprehensive indicators of semen volume, sperm motility, and semen pH can be used as evaluative measures. Across the whole fertile population, the abstinence period and age of first spermatorrhea were correlated with semen quality. In the high semen quality population, smoking and drinking were negatively correlated with semen quality, and participants living in rural areas had better semen quality.

Authentication of Zingiber Species Based on Analysis of Metabolite Profiles.

Zingiber corallinum and Zingiber montanum, which belong to the Zingiberaceae family, are traditional Chinese folk medicinal herbs in Guizhou and Yunnan Province of China. They share great similarities in morphology, chemical constituent, and DNA barcoding sequence. The taxonomy of the two Zingiber species is controversial and discrimination of traditional Chinese medicines directly affects the pharmacological and clinical effects. In the present study, we performed a systemic analysis of "super-barcode" and untargeted metabolomics between Z. corallinum and Z. montanum using chloroplast (cp) genome sequencing and gas chromatography-mass spectrometry (GC-MS) analysis. Comparison and phylogenetic analysis of cp genomes of the two Zingiber species showed that the cp genome could not guarantee the accuracy of identification. An untargeted metabolomics strategy combining GC-MS with chemometric methods was proposed to distinguish the Zingiber samples of known variety. A total of 51 volatile compounds extracted from Z. corallinum and Z. montanum were identified, and nine compounds were selected as candidate metabolic markers to reveal the significant difference between Z. corallinum and Z. montanum. The performance of the untargeted metabolomic approach was verified with unknown Zingiber samples. Although the cp genomes could not be used to identify Zingiber species in this study, it will still provide a valuable genomics resource for population studies in the Zingiberaceae family, and the GC-MS based metabolic fingerprint is more promising for species identification and safe application of Z. corallinum and Z. montanum.

[DNA barcoding identification of original plants of a rare medicinal material Resina Draconis and related Dracaena species].

Resina Draconis, a rare and precious traditional medicine in China, is known as the "holy medicine for promoting blood circulation". According to the national drug standard, it's derived from the resin extracted from the wood of Dracaena cochinchinensis, a Liliaceae plant. In addition, a variety of Dracaena species all over the world can form red resins, and there is currently no molecular identification method that can efficiently identify the origin of Dracaena medicinal materials. In this study, seven species of Dracaena distributed in China were selected as the research objects. Four commonly used DNA barcodes(ITS2, matK, rbcL and psbA-trnH), and four highly variable regions(trnP-psaJ, psbK-psbI, trnT-trnL, clpP) in chloroplast genome were used to evaluate the identification efficiency of Dracaena species. The results showed that clpP sequence fragment could accurately identify seven species of Dracaena plants. However, due to the long sequence of clpP fragment, there were potential problems in the practical application process. We found that the combined fragment "psbK-psbI+ trnP-psaJ" can also be used for accurate molecular identification of the Resina Draconis origin plants and relative species of Dracaena, which were both relatively short sequences in the combined fragment, showing high success rates of amplification and sequencing. Therefore, the "psbK-psbI+ trnP-psaJ" combined fragment can be used as the DNA barcode fragments for molecular identification of Resina Dracon's origin plants and relative species of Dracaena. Research on the identification of Dracaena species, the results of this study can be used to accurately identify the original material of Resina Draconis, and providing effective means for identification, rational development and application of Resina Draconis base source.

Transcriptome profiling reveals candidate flavonoid-related genes during formation of dragon's blood from Dracaena cochinchinensis (Lour.) S.C.Chen under conditions of wounding stress.

ETHNOPHARMACOLOGICAL RELEVANCE: Dragon's Blood (Resina Draconis) is a red resin that has been used in traditional medicine to promote blood circulation, regenerate muscles, reduce swelling and pain, stop bleeding, etc., and its main chemical constituents are flavonoids. Dracaena cochinchinensis (Lour.) S.C.Chen is the only plant defined by the Pharmacopoeia of the People's Republic of China as a source of dragon's blood. AIM OF THE STUDY: We aimed to reveal genes involved in the biosynthesis and accumulation of flavonoids of D. cochinchinensis which is under wounding stress by performing a de novo transcriptome analysis. MATERIALS AND METHODS: D. cochinchinensis samples were collected for transcriptome sequencing and bioinformatics analysis at 0 days (0 d), 3 days (3 d), 6 days (6 d), and 10 days (10 d) after induction wounding stress, and tissues were microscopically observed after wounding stress. RESULTS: A total of 63,244 unigenes were obtained through bioinformatics analysis, and genes associated with the biosynthesis of flavonoids were identified. Through the analysis of DEGs after wounding stress in D. cochinchinensis, based on gene expression consistent with flavonoid accumulation levels, 20 genes in connection with the flavonoid synthesis pathway and 56 genes that may be responsible for flavonoid modification and transport, and also revealed TFs (MYB, bHLH) that may be responsible for flavonoid biosynthesis. Analysis of DEGs between the four periods revealed that after wounding stress, the greatest number of significant DEGs were enriched during the first 3 days, while fewer DEGs were enriched after day 3, which corresponding to only about 1/10 (353/3883) the number of DEGs during the first 3 days. In addition, putative unigenes involved in lignin biosynthesis, such as CSE, HCT, CCR, F5H, and CAD, were significantly down-regulation after D. cochinchinensis wounding stress, but the putative unigenes responsible for flavonoid biosynthesis, such as CHS, CHI, DFR, F3'5'H, F3H, ANR, FLS, and ANS were significantly up-regulation. CONCLUSION: We performed de novo transcriptome analysis of D.cochinchinensis under wounding stress, candidate genes and TFs involved in the biosynthesis and accumulation of flavonoids were identified, which is the first report on the transcript variants in flavonoid form accumulation in D. cochinchinensis under wounding stress. According to the results of DEGs analysis, wounding stress attenuated lignin biosynthesis meanwhile promoted flavonoid biosynthesis. In addition, we also compared the transcriptomics of the two different original plants (D.cochinchinensis and D.cambodiana) that form dragon's blood in order to provide further understanding of the formation of dragon's blood.

Complete Chloroplast Genome Analysis of Two Important Medicinal Alpinia Species: Alpinia galanga and Alpinia kwangsiensis.

Most Alpinia species are valued as foods, ornamental plants, or plants with medicinal properties. However, morphological characteristics and commonly used DNA barcode fragments are not sufficient for accurately identifying Alpinia species. Difficulties in species identification have led to confusion in the sale and use of Alpinia for medicinal use. To mine resources and improve the molecular methods for distinguishing among Alpinia species, we report the complete chloroplast (CP) genomes of Alpinia galanga and Alpinia kwangsiensis species, obtained via high-throughput Illumina sequencing. The CP genomes of A. galanga and A. kwangsiensis exhibited a typical circular tetramerous structure, including a large single-copy region (87,565 and 87,732 bp, respectively), a small single-copy region (17,909 and 15,181 bp, respectively), and a pair of inverted repeats (27,313 and 29,705 bp, respectively). The guanine-cytosine content of the CP genomes is 36.26 and 36.15%, respectively. Furthermore, each CP genome contained 133 genes, including 87 protein-coding genes, 38 distinct tRNA genes, and 8 distinct rRNA genes. We identified 110 and 125 simple sequence repeats in the CP genomes of A. galanga and A. kwangsiensis, respectively. We then combined these data with publicly available CP genome data from four other Alpinia species (A. hainanensis, A. oxyphylla, A. pumila, and A. zerumbet) and analyzed their sequence characteristics. Nucleotide diversity was analyzed based on the alignment of the complete CP genome sequences, and five candidate highly variable site markers (trnS-trnG, trnC-petN, rpl32-trnL, psaC-ndhE, and ndhC-trnV) were found. Twenty-eight complete CP genome sequences belonging to Alpinieae species were used to construct phylogenetic trees. The results fully demonstrated the phylogenetic relationship among the genera of the Alpinieae, and further proved that Alpinia is a non-monophyletic group. The complete CP genomes of the two medicinal Alpinia species provides lays the foundation for the use of CP genomes in species identification and phylogenetic analyses of Alpinia species.

Genetic Diversity Assessment of a Chinese Medicinal Endemic Species, Aspidopterys obcordata var. obcordata, by Combined Molecular Marker Methods (ISSR & SRAP).

Aspidopterys obcordata var. obcordata, a medicinal plant endemic to China, is a narrowly distributed species and wild resources are extremely limited. To evaluate the genetic variability and degree of genetic divergence of A. obcordata var. obcordata, and to make rational scientific decisions on its harvest and germplasm conservation, we collected 122 samples from across nearly all of its distribution area and studied genetic diversity using inter-simple sequence repeats (ISSRs), sequence-related amplified polymorphisms (SRAPs), and a method combining the two techniques. The results revealed the high genetic diversity of A. obcordata var. obcordata, mainly due to its intra-population diversity, and the top two populations with the highest levels of intra-population diversity were ML and DH, individuals of which can serve as excellent germplasm candidates during the processing of germplasm screening and conservation. In general, the combining method was prior to the ISSR analyses and SRAP analyses results, except for a slight difference in the genetic structure of individual populations. Therefore, we suggest that a combination analysis of the two marker methods is ideal for evaluating the genetic diversity and genetic relationships of A. obcordata var. obcordata.

Corrigendum: Species Identification of Dracaena Using the Complete Chloroplast Genome as a Super-Barcode.

[This corrects the article DOI: 10.3389/fphar.2019.01441.].

Effects of genetic variation and environmental factors on bergenin in Rodgersia sambucifolia Hemsl.

ETHNOPHARMACOLOGICAL RELEVANCE: Bergenin is a well-known active compound that exhibits antioxidant, antiarrhythmic, hepatoprotective, and anti-inflammatory activities. However, the resource reserve of Rodgersia sambucifolia, one of the main raw materials for extracting bergenin, have sharply declined, and the bergenin content in different germplasms differs vastly, resulting in a serious shortage of the market supply of bergenin. AIM OF THE STUDY: To investigate the influence of genetic diversity and environmental factors on bergenin content in Rodgersia sambucifolia. MATERIALS AND METHODS: Fifty Rodgersia sambucifolia samples with a growth period of 2-3 years were collected from different areas across China and the bergenin content was determined via HPLC. Meanwhile the total genomic DNA was extracted and ISSR was performed. The bergenin content as measured using HPLC and the environmental data gathered from the meteorological stations and field work were combined and analyzed using correlation tests in XLSTAT 2018 to detect the key factors affecting bergenin content. The genetic UPGMA tree constructed based on genetic distances of the 50 samples and the chemical dendrogram constructed according to the distance between the bergenin content were compared to determine the correlation between genetic and chemical differentiation. RESULTS: Among the 50 individuals, bergenin content varied from 2.83 to 12.54%, with the highest content being 4.43-fold that of the lowest content. The survey of the 50 individuals produced a total of 193 amplified bands, 187 of which were polymorphic (96.89%). In the study, bergenin content was positively correlated with annual mean temperature (AMT) (r = 0.583, P < 0.0001) and 1-12 month monthly mean temperature (MMT) (P < 0.0001). A comparison of the genetic dendrogram with the AHC dendrogram found no corresponding relationship between them. Mantel correlation analyses also showed that there was no significant correlation between them (r = 0.144). CONCLUSIONS: There were large differences in bergenin content among different germplasms that were not correlated with the high genetic variation in Rodgersia sambucifolia but were significantly correlated with environmental factors, such as temperature. This study lays the foundation for subsequent superior germplasm selection and artificial breeding of Rodgersia sambucifolia to improve the bergenin content and meet market demands.

Species Identification of Dracaena Using the Complete Chloroplast Genome as a Super-Barcode.

The taxonomy and nomenclature of Dracaena plants are much disputed, particularly for several Dracaena species in Asia. However, neither morphological features nor common DNA regions are ideal for identification of Dracaena spp. Meanwhile, although multiple Dracaena spp. are sources of the rare traditional medicine dragon's blood, the Pharmacopoeia of the People's Republic of China has defined Dracaena cochinchinensis as the only source plant. The inaccurate identification of Dracaena spp. will inevitably affect the clinical efficacy of dragon's blood. It is therefore important to find a better method to distinguish these species. Here, we report the complete chloroplast (CP) genomes of six Dracaena spp., D. cochinchinensis, D. cambodiana, D. angustifolia, D. terniflora, D. hokouensis, and D. elliptica, obtained through high-throughput Illumina sequencing. These CP genomes exhibited typical circular tetramerous structure, and their sizes ranged from 155,055 (D. elliptica) to 155,449 bp (D. cochinchinensis). The GC content of each CP genome was 37.5%. Furthermore, each CP genome contained 130 genes, including 84 protein-coding genes, 38 tRNA genes, and 8 rRNA genes. There were no potential coding or non-coding regions to distinguish these six species, but the maximum likelihood tree of the six Dracaena spp. and other related species revealed that the whole CP genome can be used as a super-barcode to identify these Dracaena spp. This study provides not only invaluable data for species identification and safe medical application of Dracaena but also an important reference and foundation for species identification and phylogeny of Liliaceae plants.

Four targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis case.

The molecular mechanisms underlying the development and progression of colorectal cancer (CRC) have not been clarified. The purpose of the present study was to identify key genes that may serve as novel therapeutic targets or prognostic predictors in patients with CRC using bioinformatics analysis. Four gene expression datasets were downloaded from the Gene Expression Omnibus database, which revealed 19 upregulated and 34 downregulated differentially expressed genes (DEGs). The downregulated DEGs were significantly enriched in eight pathways according to Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. A protein-protein interaction network was constructed with 52 DEGs and 458 edges. Ten key genes were identified according to the degree value, betweenness centrality and closeness centrality. Survival analysis revealed that low expression of four of the ten genes, carcinoembryonic antigen related cell adhesion molecule 7 (CEACAM7), solute carrier family 4 member 4 (SLC4A4), glucagon (GCG) and chloride channel accessory 1 (CLCA1) genes, were associated with unfavorable prognosis in CRC. Furthermore, gene set enrichment analysis revealed that two pathways were significantly enriched in the CEACAM7 low-expression group. Thus, CEACAM7, SLC4A4, GCG and CLCA1 may be prognostic markers or therapeutic targets of CRC. Low CEACAM7 expression may be associated with the activation of glycosaminoglycan biosynthesis-chondroitin sulfate and extracellular matrix receptor interaction pathways and may affect the prognosis of CRC.