Genetic factors explaining anthocyanin pigmentation differences.

BACKGROUND: Anthocyanins are important contributors to coloration across a wide phylogenetic range of plants. Biological functions of anthocyanins span from reproduction to protection against biotic and abiotic stressors. Owing to a clearly visible phenotype of mutants, the anthocyanin biosynthesis and its sophisticated regulation have been studied in numerous plant species. Genes encoding the anthocyanin biosynthesis enzymes are regulated by a transcription factor complex comprising MYB, bHLH and WD40 proteins. RESULTS: A systematic comparison of anthocyanin-pigmented vs. non-pigmented varieties was performed within numerous plant species covering the taxonomic diversity of flowering plants. The literature was screened for cases in which genetic factors causing anthocyanin loss were reported. Additionally, transcriptomic data sets from four previous studies were reanalyzed to determine the genes possibly responsible for color variation based on their expression pattern. The contribution of different structural and regulatory genes to the intraspecific pigmentation differences was quantified. Differences concerning transcription factors are by far the most frequent explanation for pigmentation differences observed between two varieties of the same species. Among the transcription factors in the analyzed cases, MYB genes are significantly more prone to account for pigmentation differences compared to bHLH or WD40 genes. Among the structural genes, DFR genes are most often associated with anthocyanin loss. CONCLUSIONS: These findings support previous assumptions about the susceptibility of transcriptional regulation to evolutionary changes and its importance for the evolution of novel coloration phenotypes. Our findings underline the particular significance of MYBs and their apparent prevalent role in the specificity of the MBW complex.

The effect of formulation composition and adjuvant type on difenoconazole dislodgeable foliar residue.

Rigorous risk assessments for those exposed to pesticides are carried out to satisfy crop protection regulatory requirements. Non-dietary risk assessments involve estimating the amount of residue which can be transferred from plant foliage to the skin or clothes, known as dislodgeable foliar residues (DFRs). DFR data are less available than crop residue data as studies are costly and limited by seasonality. European regulatory authorities are reticent to allow extrapolation of study data to different scenarios as the contributory factors have hitherto been poorly identified. This study is the first to use a new laboratory DFR method to investigate how one such factor, pesticide formulation, may affect DFR on a variety of crops. The study used the active substance difenoconazole as both an emulsifiable concentrate (EC 10%) and a wettable powder (WP 10%) with and without adjuvants (Tween 20 and organophosphate tris(2-ethylhexyl)phosphate TEHP) on tomato, French bean and oilseed rape. A comparable DFR% was retained from the WP and EC formulation on most crops except for tomato, where lower DFR% was retained in the case of WP (39 ± 4.7%) compared to EC (60 ± 1.2%). No significant effect of adjuvant addition was observed for either formulation except when mixing TEHP (0.1% w/v) to the EC 10% on French bean, resulting in 8% DFR reduction compared to the EC formulation alone. This research demonstrates the value of a unique DFR laboratory technique in investigating the importance of the formulation and in-tank adjuvants as factors that affect DFR.

Comparative transcriptome analysis reveals transcriptional regulation of anthocyanin biosynthesis in purple radish (Raphanus sativus L.).

Radish exhibits significant variation in color, particularly in sprouts, leaves, petals, fleshy roots, and other tissues, displaying a range of hues such as green, white, red, purple, and black. Although extensive research has been conducted on the color variation of radish, the underlying mechanism behind the variation in radish flower color remains unclear. To date, there is a lack of comprehensive research investigating the variation mechanism of radish sprouts, leaves, fleshy roots, and flower organs. This study aims to address this gap by utilizing transcriptome sequencing to acquire transcriptome data for white and purple radish flowers. Additionally, the published transcriptome data of sprouts, leaves, and fleshy roots were incorporated to conduct a systematic analysis of the regulatory mechanisms underlying anthocyanin biosynthesis in these four radish tissues. The comparative transcriptome analysis revealed differential expression of the anthocyanin biosynthetic pathway genes DFR, UGT78D2, TT12 and CPC in the four radish tissues. Additionally, the WGCNA results identified RsDFR.9c and RsUGT78D2.2c as hub genes responsible for regulating anthocyanin biosynthesis. By integrating the findings from the comparative transcriptome analysis, WGCNA, and anthocyanin biosynthetic pathway-related gene expression patterns, it is hypothesized that genes RsDFR.9c and RsUGT78D2.2c may serve as pivotal regulators of anthocyanins in the four radish tissues. Furthermore, the tissue-specific expression of the four copies of RsPAP1 is deemed crucial in governing anthocyanin synthesis and accumulation. Our results provide new insights into the molecular mechanism of anthocyanin biosynthesis and accumulation in different tissues of radish.

In-silico prediction of dislodgeable foliar residues and regulatory implications for plant protection products.

BACKGROUND: When experimentally determined dislodgeable foliar residue (DFR) values are not available, regulatory agencies use conservative default DFR values as a first-tier approach to assess post-application dermal exposures to plant protection products (PPPs). These default values are based on a limited set of field studies, are very conservative, and potentially overestimate exposures from DFRs. OBJECTIVE: Use Random Forest to develop classification and regression-type ensemble models to predict DFR values after last application (DFR0) by considering experimentally-based variability due to differences in physical and chemical properties of PPPs, agronomic practices, crop type, and climatic conditions. METHODS: Random Forest algorithm was used to develop in-silico ensemble DFR0 prediction models using more than 100 DFR studies from Corteva AgriscienceTM. Several variables related to the active ingredient (a.i.) that was applied, crop, and climate conditions at the time of last application were considered as model parameters. RESULTS: The proposed ensemble models demonstrated 98% prediction accuracy that if a DFR0 is predicted to be less than the European Food Safety Authority (EFSA) default DFR0 value of 3 µg/cm2/kg a.i./ha, it is highly indicative that the measured DFR value will be less than the default if the study is conducted. If a value is predicted to be larger than or equal to the EFSA default, the model has an 83% prediction accuracy. IMPACT STATEMENT: This manuscript is expected to have significant impact globally as it provides: A framework for incorporating in silico DFR data into worker exposure assessment, A roadmap for a tiered approach for conducting re-entry exposure assessment, and A proof of concept for using existing DFR data to provide a read-across framework that can easily be harmonized across all regulatory agencies to provide more robust assessments for PPP exposures.

Learning from Power Signals: An Automated Approach to Electrical Disturbance Identification within a Power Transmission System.

As power quality becomes a higher priority in the electric utility industry, the amount of disturbance event data continues to grow. Utilities do not have the required personnel to analyze each event by hand. This work presents an automated approach for analyzing power quality events recorded by digital fault recorders and power quality monitors operating within a power transmission system. The automated approach leverages rule-based analytics to examine the time and frequency domain characteristics of the voltage and current signals. Customizable thresholds are set to categorize each disturbance event. The events analyzed within this work include various faults, motor starting, and incipient instrument transformer failure. Analytics for fourteen different event types have been developed. The analytics were tested on 160 signal files and yielded an average accuracy of 99%. Continuous nominal signal data analysis was performed using an approach called the cyclic histogram. The cyclic histogram process is intended to be integrated into the digital fault recorders themselves in order to facilitate the detection of subtle signal variations that are too small to trigger a disturbance event and that can occur over hours or days. In addition to reducing memory requirements by a factor of 320, it is anticipated that cyclic histogram processing will aid in identifying incipient events and identifiers. This project is expected to save engineers time by automating the classification of disturbance events and increasing the reliability of the transmission system by providing near real-time detection and identification of disturbances as well as prevention of problems before they occur.

Developing and validating a version of the food frequency questionnaire for young adults in a public university in Malaysia.

BACKGROUND AND OBJECTIVES: Epidemiological studies often use the food frequency questionnaire (FFQ) to predict the food consumption habits of a target group and subsequently promote healthy eating in the group. In the present study, a version of the FFQ for Malaysian young adults aged 18-24 years was designed and validated. METHODS AND STUDY DESIGN: This study comprised development and validation phases. In the development phase, 129 young adults from a public university in Klang Valley completed a 3-day food record (3DFR), and the data were used to create a food list for the FFQ. Two weeks later, in the validation phase, another 100 participants recruited from the same university completed the 3DFR and a newly developed FFQ for assessing consumption of 38 food items. Finally, the data obtained from the FFQ and 3DFR were used to analyze the nutrient intake of each participant, and the developed FFQ was validated using Spearman correla-tion coefficients (r) and Bland-Altman methods. RESULTS: For the development phase, 38 food items were determined to contribute to 90% of the participants' total energy and macronutrient intake, and these items were included on the FFQ. For the validation phase, the average Spearman correlation coefficient for energy and all nutrients was 0.43, which indicated good agreement between the 3DFR and FFQ. Cross-classification analysis of the 3DFR and FFQ results revealed that 79% of the young adults were classified into similar or neighboring quartiles when each set of results was used. The Bland-Altman plots revealed that the results obtained using the two methods were parallel. CONCLUSIONS: The FFQ is a simple and validated tool that can be self-administered to young adults to assess their energy and nutrient consumption.

[Correlation between D-Dimer/Fibrinogen Ratio and Bleeding in Patients with Newly Diagnosed Acute Promyelocytic Leukemia].

OBJECTIVE: To further explore the better indicators for predicting the degree of bleeding associated with newly diagnosed acute promyelocytic leukemia (APL). METHODS: A total of 131 patients with newly diagnosed APL were classified according to WHO bleeding scales before treatment and divided into two groups: scales 0, 1 and 2 were included in no severe bleeding group, scales 3 and 4 were included in severe bleeding group. The information of the patients were collected, including sex, age, hemoglobin (Hb), white blood cell (WBC) count and platelet (PLT) count, peripheral blood lymphocyte percentage (LYMPH%), peripheral blood monocyte percentage (MONO%), percentage of leukemic cells in pripheral blood and bone marrow, prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB) levels, D-dimer (D-D), D-dimer/fibrinogen ratio (DFR). RESULTS: Among 131 patients, 110 were classified as no severe bleeding, and 21 were severe bleeding. The results of univariate analysis showed that patients with severe bleeding had significantly higher percentage of leukemic cells in pripheral blood, WBC, D-D, and DFR, as well as longer PT and lower LYMPH%, compared to those with no severe bleeding. Multivariate analysis revealed that DFR (OR =1.054, 95%CI : 1.024-1.084, P < 0.001) and percentage of peripheral blood leukemic cells (OR=1.026, 95%CI: 1.002-1.051, P =0.033) were independent risk factors for severe bleeding. The area under ROC curve (AUC) of peripheral blood leukemic cells, D-D and DFR were 0.748, 0.736 and 0.809, respectively. There was no statistical difference between the peripheral blood leukemic cells and D-D in diagnostic efficacy (P =0.8708). Compared with D-D, DFR had a higher predictive value (P =0.0302). The optimal cut-off value of DFR was 16.50, with a sensitivity of 90.5% and a specificity of 70.0%. CONCLUSION: DFR has a significant advantage in predicting the degree of bleeding associated with newly diagnosed APL. The greater the DFR value, the heavier the degree of bleeding. The risk of severe or fatal bleeding increases when DFR is greater than 16.50.

Production of yellow-flowered gentian plants by genetic engineering of betaxanthin pigments.

Genetic engineering of flower color provides biotechnological products such as blue carnations or roses by accumulating delphinidin-based anthocyanins not naturally existing in these plant species. Betalains are another class of pigments that in plants are only synthesized in the order Caryophyllales. Although they have been engineered in several plant species, especially red-violet betacyanins, the yellow betaxanthins have yet to be engineered in ornamental plants. We attempted to produce yellow-flowered gentians by genetic engineering of betaxanthin pigments. First, white-flowered gentian lines were produced by knocking out the dihydroflavonol 4-reductase (DFR) gene using CRISPR/Cas9-mediated genome editing. Beta vulgaris BvCYP76AD6 and Mirabilis jalapa MjDOD, driven by gentian petal-specific promoters, flavonoid 3',5'-hydroxylase (F3'5'H) and anthocyanin 5,3'-aromatic acyltransferase (AT), respectively, were transformed into the above DFR-knockout white-flowered line; the resultant gentian plants had vivid yellow flowers. Expression analysis and pigment analysis revealed petal-specific expression and accumulation of seven known betaxanthins in their petals to c. 0.06-0.08 µmol g FW-1 . Genetic engineering of vivid yellow-flowered plants can be achieved by combining genome editing and a suitable expression of betaxanthin-biosynthetic genes in ornamental plants.

A new laboratory method to study the impact of leaf texture on pesticide dislodgeable foliar residues (DFR).

Pesticides are vital in meeting the challenge of feeding the rapidly increasing world population. However, it is crucial that they are used in a way that does not compromise the safety of humans or the environment. Non-dietary worker risk assessments consider the amount of residue which can be transferred from plant foliage to the skin or clothes, known as dislodgeable foliar residues (DFRs). DFR data scarcity due to the costly and seasonal characteristics of DFR studies is an obstacle to the extrapolation of DFR data to different crops/leaves. This paper validates a new proof-of-concept technique to investigate factors that may affect DFR (leaf texture) using the fungicide difenoconazole EC 10% as an example on various leaves (i.e., French bean, soybean, tomato, oilseed rape, and wheat). DFR was the lowest in the case of oilseed rape (31.0 ± 3.4%) and the highest in French beans (82.0 ± 2.9%). This significant difference in DFR in the findings of this study sheds light on the importance of the leaf surface as a major factor affecting DFR and supports the application of the laboratory method for more extensive data generation. More data generation would enable the extrapolation saving money and resources.

Effects of editing DFR genes on flowers, leaves, and roots of tobacco.

BACKGROUND: DFR is a crucial structural gene in plant flavonoid and polyphenol metabolism, and DFR knockout (DFR-KO) plants may have increased biomass accumulation. It is uncertain whether DFR-KO has comparable effects in tobacco and what the molecular mechanism is. We employed the CRISPR/Cas9 method to generate a knockout homozygous construct and collected samples from various developmental phases for transcriptome and metabolome detection and analysis. RESULTS: DFR-KO turned tobacco blossoms white on homozygous tobacco (Nicotiana tabacum) plants with both NtDFR1 and NtDFR2 knockout. RNA-seq investigation of anthesis leaf (LF), anthesis flower (FF), mature leaf (LM), and mature root (RM) variations in wild-type (CK) and DFR-KO lines revealed 2898, 276, 311, and 101 differentially expressed genes (DEGs), respectively. DFR-KO primarily affected leaves during anthesis. According to KEGG and GSEA studies, DFR-KO lines upregulated photosynthetic pathway carbon fixation and downregulated photosystem I and II genes. DFR-KO may diminish tobacco anthesis leaf photosynthetic light reaction but boost dark reaction carbon fixation. DFR-KO lowered the expression of pathway-related genes in LF, such as oxidative phosphorylation and proteasome, while boosting those in the plant-pathogen interaction and MAPK signaling pathways, indicating that it may increase biological stress resistance. DFR-KO greatly boosted the expression of other structural genes involved in phenylpropanoid production in FF, which may account for metabolite accumulation. The metabolome showed that LF overexpressed 8 flavonoid metabolites and FF downregulated 24 flavone metabolites. In DFR-KO LF, proteasome-related genes downregulated 16 amino acid metabolites and reduced free amino acids. Furthermore, the DEG analysis on LM revealed that the impact of DFR-KO on tobacco growth may progressively diminish with time. CONCLUSION: The broad impact of DFR-KO on different phases and organs of tobacco development was thoroughly and methodically investigated in this research. DFR-KO decreased catabolism and photosynthetic light reactions in leaves during the flowering stage while increasing carbon fixation and disease resistance pathways. However, the impact of DFR-KO on tobacco growth steadily declined as it grew and matured, and transcriptional and metabolic modifications were consistent. This work offers a fresh insight and theoretical foundation for tobacco breeding and the development of gene-edited strains.

Identification and Expression Analysis of DFR Gene Family in Brassica napus L.

Dihydroflavonol 4-reductase (DFR) is a key enzyme in the flavonoid biosynthetic pathway and is essential for the formation of plants' color. In this study, 26 BnDFR genes were identified using 6 Arabidopsis DFR genes as reference. The physicochemical properties, subcellular localization, and conserved structure of BnDFR proteins were analyzed; the evolutionary relationship, collinearity analysis, and expression characteristics of BnDFR genes were studied; and the correlation between the expression level of BnDFR genes and anthocyanin content in rape petals were analyzed. The results showed that the 26 BnDFRs were located in chloroplasts, cytoplasm, nuclei, and mitochondria, distributed on 17 chromosomes, and divided into 4 groups; members of the same group have a similar function, which may be related to the environmental response elements and plant hormone response elements. Intraspecific collinearity analysis showed 51 pairs of collinear genes, and interspecific collinearity analysis showed 30 pairs of collinear genes. Analysis of the expression levels of BnDFRs and anthocyanin content in different color rape petals showed that BnDFR6 and BnDFR26 might play an important role in the synthesis of anthocyanins in rape petals. This provides theoretical guidance for further analysis of the anthocyanin anabolism mechanism involved in the DFR gene in Brassica napus.

Dioxin emission modeling using feature selection and simplified DFR with residual error fitting for the grate-based MSWI process.

Municipal solid waste incineration (MSWI) with grate technology is a widely applied waste-to-energy process in various cities in China. Meanwhile, dioxins (DXN) are emitted at the stack and are the critical environmental indicator for operation optimization control in the MSWI process. However, constructing a high-precision and fast emission model for DXN emission operation optimization control becomes an immediate difficulty. To address the above problem, this research utilizes a novel DXN emission measurement method using simplified deep forest regression (DFR) with residual error fitting (SDFR-ref). First, the high-dimensional process variables are optimally reduced following the mutual information and significance test. Then, a simplified DFR algorithm is established to infer or predict the nonlinearity between the selected process variables and the DXN emission concentration. Moreover, a gradient enhancement strategy in terms of residual error fitting with a step factor is designed to improve the measurement performance in the layer-by-layer learning process. Finally, an actual DXN dataset from 2009 to 2020 of the MSWI plant in Beijing is utilized to verify the SDFR-ref method. Comparison experiments demonstrate the superiority of the proposed method over other methods in terms of measurement accuracy and time consumption.

Distal Femoral Replacement versus Operative Fixation for Periprosthetic Distal Femur Fractures: A Systematic Review and Meta-Analysis.

BACKGROUND: Open reduction and internal fixation (ORIF) and distal femoral replacement (DFR) have been utilized in the management of periprosthetic distal femur fractures. At present, much of the literature has been limited to small retrospective series. The purpose of the current investigation was to present the results of pooled data to determine the complication rates associated with ORIF and DFR. METHODS: Publications from 2010 to 2020 describing 10 or more periprosthetic distal femur fractures treated with ORIF (ie, single plate, intramedullary nail, and dual fixation) or DFR were included, resulting in 32 publications and 1,258 fractures (977 ORIF and 281 DFR). Occurrence of surgical complications, reoperations, and medical complications were evaluated and compared. RESULTS: The rate of surgical complications (ORIF versus DFR, 20.5 versus 14.9%, P = 1.0) and reoperations (12.9 versus 12.5%, P = 1.0) following DFR were similar. However, pooled analyses demonstrated that patients treated with DFR had a higher medical complication rate (ORIF versus DFR, 8.5 versus 23.1%, P = .0006). CONCLUSION: ORIF and DFR for the treatment of periprosthetic distal femur fractures have similar surgical complication and reoperation profiles. While this review found an increased rate of medical complication following DFR, there are limitations in quality reporting in the literature, which should be considered when interpreting the study's findings. Failed ORIF can be salvaged with DFR, but the difficulty of this reoperation is dependent on the ORIF technique that was used. With future prospective studies, this review can help guide management of these fractures.

Overexpression of the Ginkgo biloba dihydroflavonol 4-reductase gene GbDFR6 results in the self-incompatibility-like phenotypes in transgenic tobacco.

Although flavonoids play multiple roles in plant growth and development, the involvement in plant self-incompatibility (SI) have not been reported. In this research, the fertility of transgenic tobacco plants overexpressing the Ginkgo biloba dihydroflavonol 4-reductase gene, GbDFR6, were investigated. To explore the possible physiological defects leading to the failure of embryo development in transgenic tobacco plants, functions of pistils and pollen grains were examined. Transgenic pistils pollinated with pollen grains from another tobacco plants (either transgenic or wild-type), developed full of well-developed seeds. In contrast, in self-pollinated transgenic tobacco plants, pollen-tube growth was arrested in the upper part of the style, and small abnormal seeds developed without fertilization. Although the mechanism remains unclear, our research may provide a valuable method to create SI tobacco plants for breeding.

Should megaprosthesis implants be a viable option in elderly patients after distal femur and periprosthetic distal femur fractures?-a retrospective cohort study.

Background: Distal femur fractures (DFF) and periprosthetic distal femur fractures (PDFF) in elderly patients are challenging to manage, often requiring the use of distal femur replacement (DFR) implants to manage severe bone loss and comminution. The study's main purpose was to analyze outcomes and complications of DFR implant after DFF or PDFF at our institution to understand the feasibility and reliability of this treatment considering a review of the current literature. Methods: Fourteen consecutive patients undergoing total knee replacement with megaprosthesis implant from January 1st, 2017 to January 1st, 2021, at our institution were retrospectively analyzed. Inclusion criteria were age ≥65 years and DFF or PDFF after primary total knee arthroplasties (TKA) implantation. Patient-reported outcome measures (PROMs) such as Knee Society Score (KSS) and Oxford Knee Score (OKS) were analyzed, as well as radiographic pre- and post-operative imaging. Complications were recorded from the early postoperative period to the last follow-up. Results: Nine patients were diagnosed with PDFF and five with DFF. At a mean follow-up of 30.7 months (range, 12 to 69 months), the mean KSS knee score was 79.5±11.2; the mean KSS function score was 69.0±17.9. The mean OKS was 31.6±8.9. The mean age at intervention was 82.1±7.6 years. Two delayed wound closures and one chronic prosthetic joint infection (PJI) were observed. No death was observed at the last follow-up. Conclusions: Megaprosthesis implants could be a suitable option in elderly, arthritic patients diagnosed with complicated DFFs and PDFFs, allowing joint function preservation and a rapid return to daily activities. DFR remains an intervention burdened by devastating complications that must be considered in the treatment choice.

Correlation between D-Dimer/Fibrinogen Ratio and Bleeding in Patients with Newly Diagnosed Acute Promyelocytic Leukemia / 中国实验血液学杂志

OBJECTIVE@#To further explore the better indicators for predicting the degree of bleeding associated with newly diagnosed acute promyelocytic leukemia (APL).@*METHODS@#A total of 131 patients with newly diagnosed APL were classified according to WHO bleeding scales before treatment and divided into two groups: scales 0, 1 and 2 were included in no severe bleeding group, scales 3 and 4 were included in severe bleeding group. The information of the patients were collected, including sex, age, hemoglobin (Hb), white blood cell (WBC) count and platelet (PLT) count, peripheral blood lymphocyte percentage (LYMPH%), peripheral blood monocyte percentage (MONO%), percentage of leukemic cells in pripheral blood and bone marrow, prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB) levels, D-dimer (D-D), D-dimer/fibrinogen ratio (DFR).@*RESULTS@#Among 131 patients, 110 were classified as no severe bleeding, and 21 were severe bleeding. The results of univariate analysis showed that patients with severe bleeding had significantly higher percentage of leukemic cells in pripheral blood, WBC, D-D, and DFR, as well as longer PT and lower LYMPH%, compared to those with no severe bleeding. Multivariate analysis revealed that DFR (OR =1.054, 95%CI : 1.024-1.084, P < 0.001) and percentage of peripheral blood leukemic cells (OR=1.026, 95%CI: 1.002-1.051, P =0.033) were independent risk factors for severe bleeding. The area under ROC curve (AUC) of peripheral blood leukemic cells, D-D and DFR were 0.748, 0.736 and 0.809, respectively. There was no statistical difference between the peripheral blood leukemic cells and D-D in diagnostic efficacy (P =0.8708). Compared with D-D, DFR had a higher predictive value (P =0.0302). The optimal cut-off value of DFR was 16.50, with a sensitivity of 90.5% and a specificity of 70.0%.@*CONCLUSION@#DFR has a significant advantage in predicting the degree of bleeding associated with newly diagnosed APL. The greater the DFR value, the heavier the degree of bleeding. The risk of severe or fatal bleeding increases when DFR is greater than 16.50.

Molecular epidemiological analysis of tracing and analysis of Yersinia pestis strains isolated from two human plague outbreaks with unknown sources in Gansu Province / 中国热带医学

@#Abstract: Objective To conduct a molecular epidemiological tracing and analysis of Yersinia pestis strains isolated from two human plague outbreaks with unknown sources in Gansu Province, China. The results of this analysis would provide a basis for isolating and controlling the sources of Yersinia pestis. Methods The strains of Yersinia pestis isolated from two human plague outbreaks occurring on December 12, 2017, and September 27, 2019 were genotyped by the different region (DFR) and the clustered regularly interspaced short palindromic repeats (CRISPR). The repeat numbers of the variable number tandem repeat (VNTR) loci in the tested strains of Yersinia pestis were calculated by the multiple variable number tandem repeats analysis (MLVA), and the location of the phylogenetic tree of the tested strains was determined with the method of minimum spanning tree (MST) by the software BioNumerics 6.6. Results The strain of 20171212 lacked DFR01, DFR02, DFR03, DFR04, DFR13, DFR23, and the DFR type was identified as type 8. The space sequence of YPa was a1'-a2-a3-a4-a5-a6-a7-a35, the space sequence of YPb was b1-b2-b3-b4, the space sequence of YPc was c1-c2-c3, the gene cluster of CRISPR was Ca35', the genotype of CRISPR was 26'. MLVA clustering analysis showed that the strain clustered within in the cluster of Yuerhong pasture in Subei County and formed an independent branch. On the other hand, the strain of 20190927 lacked DFR01, DFR13 and DFR23, with the DFR type identified as type 1b. The space sequence of YPa was a1-a2-a3-a4-a5-a6-a7, the space sequence of YPb was b1-b2-b3-b4, the space sequence of YPc was c1-c2-c3, the gene cluster of CRSIPR was Ca7, the genotype of CRSIPR was 22 MLVA clustering analysis showed that the strain was located close to the cluster of Dangjinshan in Akesai County, and relatively distant from the cluster of Yuerhong pasture in Subei County. Conclusions The genotypes of strain 20171212 by DFR and CRISPR were consistent with the main genotypes of Y. pestis from Himalayana Marmota foci in Subei County, which confirmed that the human plague cases were naturally occurring locally. However, the strain gathered the cluster of Yuerhong pasture in Subei County, which indicated that the source of infection was not in Yanchiwan Town, but in the surrounding area of the Yuerhong pasture. The genotypes of strain 20190927 by DFR and CRISPR were in accordance with the main genotype of Y. pestis from Himalayana Marmota foci in Akesai County and were closer to the cluster of Dangjinshan in Aksai County than to

Exogenous γ-aminobutyric acid strengthens phenylpropanoid and nitrogen metabolism to enhance the contents of flavonoids, amino acids, and the derivatives in edamame.

γ-aminobutyric acid (GABA) has been reported to improve stress resistance in plants. Nonetheless, little is known about the effects of GABA on the nutritional quality and regulatory mechanisms of edamame. Therefore, we analyzed the flavonoid and amino acid (AA) metabolism and the effects of GABA on the nutrient content of edamame seeds through physiological and metabolomic analyses. Exogenous GABA increased endogenous GABA metabolism and GABA transaminase activity and enhanced the oxoglutarate content, which entered into nitrogen metabolism and increased the activity and expression of nitrogen metabolism-related enzymes, to accumulate AAs and bioactive peptides. Meanwhile, exogenous GABA induced the metabolism of flavonoids, including total flavonoids, anthocyanins, 6''-o-malonyglycitin, glycitin, ononin, cyanin, and ginkgetin, by increasing the activity and expression of flavonoid biosynthetic enzymes. This is the first study to reveal that GABA effectively improves the nutritional quality of edamame through the accumulation of AAs, bioactive peptides, isoflavones, anthocyanins, sugars, and organic acids.

Phylogenetic Analyses of Some Key Genes Provide Information on Pollinator Attraction in Solanaceae.

Floral syndromes are known by the conserved morphological traits in flowers associated with pollinator attraction, such as corolla shape and color, aroma emission and composition, and rewards, especially the nectar volume and sugar concentration. Here, we employed a phylogenetic approach to investigate sequences of genes enrolled in the biosynthetic pathways responsible for some phenotypes that are attractive to pollinators in Solanaceae genomes. We included genes involved in visible color, UV-light response, scent emission, and nectar production to test the hypothesis that these essential genes have evolved by convergence under pollinator selection. Our results refuted this hypothesis as all four studied genes recovered the species' phylogenetic relationships, even though some sites were positively selected. We found differences in protein motifs among genera in Solanaceae that were not necessarily associated with the same floral syndrome. Although it has had a crucial role in plant diversification, the plant-pollinator interaction is complex and still needs further investigation, with genes evolving not only under the influence of pollinators, but by the sum of several evolutionary forces along the speciation process in Solanaceae.

A Mutation in the MYBL2-1 Gene Is Associated with Purple Pigmentation in Brassica oleracea.

Anthocyanins are well-known antioxidants that are beneficial for plants and consumers. Dihydroflavonol-4-reductase (DFR) is a key gene of anthocyanin biosynthesis, controlled by multiple transcription factors. Its expression can be enhanced by mutations in the negative regulator of anthocyanin biosynthesis myeloblastosis family transcription factor-like 2 (MYBL2). The expression profiles of the DFR gene were examined in 43 purple and green varieties of Brassica oleracea L., Brassica napus L., Brassica juncea L., and Brassica rapa L. MYBL2 gene expression was significantly reduced in purple varieties of B. oleracea, and green varieties of B. juncea. The MYBL2 gene sequences were screened for mutations that can affect pigmentation. Expression of the DFR gene was cultivar-specific, but in general it correlated with anthocyanin content and was higher in purple plants. Two single nucleotide polymorphysms (SNPs) were found at the beginning of the DNA-binding domain of MYBL2 gene in all purple varieties of B. oleracea. This mutation, leading to an amino acid substitution and the formation of a mononucleotide repeat (A)8, significantly affects RNA structure. No other noteworthy mutations were found in the MYBL2 gene in green varieties of B. oleracea and other studied species. These results bring new insights into the regulation of anthocyanin biosynthesis in genus Brassica and provide opportunities for generation of new purple varieties with precise mutations introduced via genetic engineering and CRISPR/Cas.