Cloning and functional mechanism of the dwarf gene gba affecting stem elongation and cellulose biosynthesis in jute (Corchorus olitorius).

Plant height (PH) is an important factor affecting bast fiber yield in jute. Here, we report the mechanism of dwarfism in the 'Guangbaai' (gba) of jute. The mutant gba had shorter internode length and cell length compared to the standard cultivar 'TaiZi 4' (TZ4). Exogenous GA3 treatment indicated that gba is a GA-insensitive dwarf mutant. Quantitative trait locus (QTL) analysis of three PH-related traits via a high-density genetic linkage map according to re-seq showed that a total of 25 QTLs were identified, including 13 QTLs for PH, with phenotypic variation explained ranging from 2.42 to 74.16%. Notably, the functional mechanism of the candidate gene CoGID1a, the gibberellic acid receptor, of the major locus qPHIL5 was evaluated by transgenic analysis and virus-induced gene silencing. A dwarf phenotype-related single nucleotide mutation in CoGID1a was identified in gba, which was also unique to the dwarf phenotype of gba among 57 cultivars. Cogid1a was unable to interact with the growth-repressor DELLA even in the presence of highly accumulated gibberellins in gba. Differentially expressed genes between transcriptomes of gba and TZ4 after GA3 treatment indicated up-regulation of genes involved in gibberellin and cellulose synthesis in gba. Interestingly, it was found that up-regulation of CoMYB46, a key transcription factor in the secondary cell wall, by the highly accumulated gibberellins in gba promoted the expression of cellulose synthase genes CoCesA4 and CoCesA7. These findings provide valuable insights into fiber development affected by endogenous gibberellin accumulation in plants.

Ligand-induced native G-quadruplex stabilization impairs transcription initiation.

G-quadruplexes (G4s) are noncanonical DNA secondary structures formed through the self-association of guanines, and G4s are distributed widely across the genome. G4 participates in multiple biological processes including gene transcription, and G4-targeted ligands serve as potential therapeutic agents for DNA-targeted therapies. However, genome-wide studies of the exact roles of G4s in transcriptional regulation are still lacking. Here, we establish a sensitive G4-CUT&Tag method for genome-wide profiling of native G4s with high resolution and specificity. We find that native G4 signals are cell type-specific and are associated with transcriptional regulatory elements carrying active epigenetic modifications. Drug-induced promoter-proximal RNA polymerase II pausing promotes nearby G4 formation. In contrast, G4 stabilization by G4-targeted ligands globally reduces RNA polymerase II occupancy at gene promoters as well as nascent RNA synthesis. Moreover, ligand-induced G4 stabilization modulates chromatin states and impedes transcription initiation via inhibition of general transcription factors loading to promoters. Together, our study reveals a reciprocal genome-wide regulation between native G4 dynamics and gene transcription, which will deepen our understanding of G4 biology toward therapeutically targeting G4s in human diseases.

Genomic and cytogenetic analyses reveal satellite repeat signature in allotetraploid okra (Abelmoschus esculentus).

BACKGROUND: Satellite repeats are one of the most rapidly evolving components in eukaryotic genomes and play vital roles in genome regulation, genome evolution, and speciation. As a consequence, the composition, abundance and chromosome distribution of satellite repeats often exhibit variability across various species, genome, and even individual chromosomes. However, we know little about the satellite repeat evolution in allopolyploid genomes. RESULTS: In this study, we investigated the satellite repeat signature in five okra (Abelmoschus esculentus) accessions using genomic and cytogenetic methods. In each of the five accessions, we identified eight satellite repeats, which exhibited a significant level of intraspecific conservation. Through fluorescence in situ hybridization (FISH) experiments, we observed that the satellite repeats generated multiple signals and exhibited variations in copy number across chromosomes. Intriguingly, we found that five satellite repeats were interspersed with centromeric retrotransposons, signifying their involvement in centromeric satellite repeat identity. We confirmed subgenome-biased amplification patterns of these satellite repeats through existing genome assemblies or dual-color FISH, indicating their distinct dynamic evolution in the allotetraploid okra subgenome. Moreover, we observed the presence of multiple chromosomes harboring the 35 S rDNA loci, alongside another chromosomal pair carrying the 5 S rDNA loci in okra using FISH assay. Remarkably, the intensity of 35 S rDNA hybridization signals varied among chromosomes, with the signals predominantly localized within regions of relatively weak DAPI staining, associated with GC-rich heterochromatin regions. Finally, we observed a similar localization pattern between 35 S rDNA and three satellite repeats with high GC content and confirmed their origin in the intergenic spacer region of the 35 S rDNA. CONCLUSIONS: Our findings uncover a unique satellite repeat signature in the allotetraploid okra, contributing to our understanding of the composition, abundance, and chromosomal distribution of satellite repeats in allopolyploid genomes, further enriching our understanding of their evolutionary dynamics in complex allopolyploid genomes.

Determinants of Perceived Comfort: Multi-Dimensional Thinking in Smart Bedding Design.

Sleep quality is an important issue of public concern. This study, combined with sensor application, aims to explore the determinants of perceived comfort when using smart bedding to provide empirical evidence for improving sleep quality. This study was conducted in a standard sleep laboratory in Quanzhou, China, from March to April of 2023. Perceived comfort was evaluated using the Subjective Lying Comfort Evaluation on a seven-point rating scale, and body pressure distribution was measured using a pressure sensor. Correlation analysis was employed to analyze the relationship between perceived comfort and body pressure, and multiple linear regression was used to identify the factors of perceived comfort. The results showed that body pressure was partially correlated with perceived comfort, and sleep posture significantly influenced perceived comfort. In addition, height, weight, and body mass index are common factors that influence comfort. The findings highlight the importance of optimizing the angular range of boards based on their comfort performance to adjust sleeping posture and equalize pressure distribution. Future research should consider aspects related to the special needs of different populations (such as height and weight), as well as whether users are elderly and whether they have particular diseases. The design optimization of the bed board division and mattress softness, based on traditional smart bedding, can improve comfort and its effectiveness in reducing health risks and enhancing health status.

Selective penetration of fullerenol through pea seed coats mitigates osmosis-repressed germination via chromatin remodeling and transcriptional reprograming.

BACKGROUND: The alteration of chromatin accessibility plays an important role in plant responses to abiotic stress. Carbon-based nanomaterials (CBNMs) have attracted increasing interest in agriculture due to their potential impact on crop productivity, showcasing effects on plant biological processes at transcriptional levels; however, their impact on chromatin accessibility remains unknown. RESULTS: This study found that fullerenol can penetrate the seed coat of pea to mitigate the reduction of seed germination caused by osmotic stress. RNA sequencing (RNA-seq) revealed that the application of fullerenol caused the high expression of genes related to oxidoreduction to return to a normal level. Assay for transposase accessible chromatin sequencing (ATAC-seq) confirmed that fullerenol application reduced the overall levels of chromatin accessibility of numerous genes, including those related to environmental signaling, transcriptional regulation, and metabolism. CONCLUSION: This study suggests that fullerenol alleviates osmotic stress on various fronts, encompassing antioxidant, transcriptional, and epigenetic levels. This advances knowledge of the working mechanism of this nanomaterial within plant cells. © 2024 Society of Chemical Industry.

Evolution and expression analysis of the caffeoyl-CoA 3-O-methyltransferase (CCoAOMT) gene family in jute (Corchorus L.).

BACKGROUND: Jute is considered one of the most important crops for fiber production and multipurpose usages. Caffeoyl-CoA 3-O-methyltransferase (CCoAOMT) is a crucial enzyme involved in lignin biosynthesis in plants. The potential functions of CCoAOMT in lignin biosynthesis of jute have been reported in several studies. However, little is known about the evolution of the CCoAOMT gene family, and either their expression level at different developing stages in different jute cultivars, as well as under abiotic stresses including salt and drought stress. RESULTS: In the present study, 66 CCoAOMT genes from 12 species including 12 and eight CCoAOMTs in Corchorus olitorius and C. capsularis were identified. Phylogenetic analysis revealed that CCoAOMTs could be divided into six groups, and gene expansion was observed in C. olitorius. Furthermore, gene expression analysis of developing jute fibers was conducted at different developmental stages (15, 30, 45, 60, and 90 days after sowing [DAS]) in six varieties (Jute-179 [J179], Lubinyuanguo [LB], and Qiongyueqing [QY] for C. capsularis; Funong No.5 [F5], Kuanyechangguo [KY], and Cvlv [CL] for C. olitorius). The results showed that CCoAOMT1 and CCoAOMT2 were the dominant genes in the CCoAOMT family. Of these two dominant CCoAOMTs, CCoAOMT2 showed a constitutive expression level during the entire growth stages, while CCoAOMT1 exhibited differential expression patterns. These two genes showed higher expression levels in C. olitorius than in C. capsularis. The correlation between lignin content and CCoAOMT gene expression levels indicated that this gene family influences the lignin content of jute. Using real-time quantitative reverse transcription PCR (qRT-PCR), a substantial up-regulation of CCoAOMTs was detected in stem tissues of jute 24 h after drought treatment, with an up to 17-fold increase in expression compared to that of untreated plants. CONCLUSIONS: This study provides a basis for comprehensive genomic studies of the entire CCoAOMT gene family in C. capsularis and C. olitorius. Comparative genomics analysis among the CCoAOMT gene families of 12 species revealed the close evolutionary relationship among Corchorus, Theobroma cacao and Gossypium raimondii. This study also shows that CCoAOMTs are not only involved in lignin biosynthesis, but also are associated with the abiotic stress response in jute, and suggests the potential use of these lignin-related genes to genetically improve the fiber quality of jute.

Highly Sensitive and Selective Detection of Pharmaceuticals on Au/MIL-101(Cr) by SERS.

The detection of pharmaceuticals has been a matter of concern among scientists and health researchers in the past few decades. However, it is still difficult to realize the sensitivity and selectivity detection of pharmaceuticals with similar structures. Herein, the pharmaceutical molecules of 2-mercaptobenzimidazole (MBI) and 2-mercaptobenzothiazole (MBT) with so similar structures can be selectively detected by surface-enhanced Raman spectroscopy (SERS) taking advantage of the fingerprint identification on Au/MIL-101(Cr), with sensitive detection limits of 0.5 ng·mL-1 for MBI and 1 ng·mL-1 for MBT. MBI is selectively enriched by Au/MIL-101(Cr) from the mixture solution and detected by SERS below 30 ng·mL-1. MBI can also be selectively detected in the serum samples with a detection limit of 10 ng·mL-1. Density functional theory calculations combined with the SERS experiments explained that the high sensitivity and selectivity are caused by the intrinsic differences in Raman intensity and different adsorption energies from the pharmaceutical molecules adsorbed on Au/MIL-101(Cr), respectively. This study provides an effective way to enrich and detect pharmaceutical molecules with similar structures.

Comprehensive analysis of m6A regulators characterized by the immune microenvironment in Duchenne muscular dystrophy.

BACKGROUND: Duchenne muscular dystrophy (DMD) is an X-linked, incurable, degenerative neuromuscular disease that is exacerbated by secondary inflammation. N6-methyladenosine (m6A), the most common base modification of RNA, has pleiotropic immunomodulatory effects in many diseases. However, the role of m6A modification in the immune microenvironment of DMD remains elusive. METHODS: Our study retrospectively analyzed the expression data of 56 muscle tissues from DMD patients and 26 from non-muscular dystrophy individuals. Based on single sample gene set enrichment analysis, immune cells infiltration was identified and the result was validated by flow cytometry analysis and immunohistochemical staining. Then, we described the features of genetic variation in 26 m6A regulators and explored their relationship with the immune mircoenvironment of DMD patients through a series of bioinformatical analysis. At last, we determined subtypes of DMD patients by unsupervised clustering analysis and characterized the molecular and immune characteristics in different subgroups. RESULTS: DMD patients have a sophisticated immune microenvironment that is significantly different from non-DMD controls. Numerous m6A regulators were aberrantly expressed in the muscle tissues of DMD and inversely related to most muscle-infiltrating immune cell types and immune response-related signaling pathways. A diagnostic model involving seven m6A regulators was established using LASSO. Furthermore, we determined three m6A modification patterns (cluster A/B/C) with distinct immune microenvironmental characteristics. CONCLUSION: In summary, our study demonstrated that m6A regulators are intimately linked to the immune microenvironment of muscle tissues in DMD. These findings may facilitate a better understanding of the immunomodulatory mechanisms in DMD and provide novel strategies for the treatment.

Genome-wide association study reveals loci and candidate genes of flowering time in jute (Corchorus L.).

Suitable flowering time can improve fiber yield and quality, which is of great significance for jute biological breeding. In this study, 242 jute accessions were planted in Fujian for 2 consecutive years, and 244,593 SNPs distributed in jute genome were used for genome-wide association analysis of flowering time. A total of 19 candidate intervals (P < 0.0001) were identified by using GLM and FaST-LMM and were significantly associated with flowering time, with phenotypic variation explained (PVE) ranging from 5.8 to 18.61%. Six stable intervals that were repeatedly detected in different environments were further identified by the linkage disequilibrium heatmap. The most likely 7 candidate genes involved to flowering time were further predicted according to the gene functional annotations. Notably, functional analysis of the candidate gene CcPRR7 of the major loci qFT-3-1, a key factor in circadian rhythm in the photoperiodic pathway, was evaluated by linkage, haplotype, and transgenic analysis. ß-glucuronidase (GUS) and luciferase (LUC) activity assay of the promoters with two specific haplotypes confirmed that the flowering time can be controlled by regulating the expression of CcPRR7. The model of CcPRR7 involved in the photoperiod regulation pathway under different photoperiods was proposed. These findings provide insights into genetic loci and genes for molecular marker-assisted selection in jute and valuable information for genetically engineering PRR7 homologs in plants. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01435-8.

Effects of the combination of Lactobacillus helveticus and isomalto-oligosaccharide on survival, gut microbiota, and immune function in Apis cerana worker bees.

The adult worker bees were fed sucrose syrup or sucrose syrup supplemented with Lactobacillus helveticus KM7, prebiotic isomalto-oligosaccharide (IMO), or L. helveticus KM7 combined with IMO. Survival rate, gut microbiota, and gene expression of gut antimicrobial peptides in worker honey bees were determined. Administration of L. helveticus KM7 and IMO significantly increased the survival rate in worker bees relative to bees fed sucrose only. Then, higher concentration of both lactic acid bacteria and Bifidobacterium in the gut and lower counts of gut fungi, Enterococcus, and Bacteroides-Porphyromonas-Prevotella were observed in bees fed the combination of KM7 and IMO compared with control bees. The combination of L. helveticus KM7 with IMO showed a greater or comparable modulating effect on those bacteria relative to either KM7 or IMO alone. Furthermore, the combination treatment of L. helveticus KM7 and IMO enhanced mRNA expression of antimicrobial peptide genes, including Abaecin, Defensin, and the gene encoding prophenoloxidase (PPO) in the gut compared with both control bees and those either L. helveticus KM7 or IMO alone. These results suggest that the combination of L. helveticus KM7 and IMO synergistically modifies the gut microbiota and immunity and consequently improves the survival rate of Apis cerana adult workers.

OBHS Drives Abnormal Glycometabolis Reprogramming via GLUT1 in Breast Cancer.

Due to the poor metabolic conditions fomenting the emergence of the Warburg effect (WE) phenotype, abnormal glycometabolism has become a unique and fundamental research topic in the field of tumor biology. Moreover, hyperglycemia and hyperinsulinism are associated with poor outcomes in patients with breast cancer. However, there are a few studies on anticancer drugs targeting glycometabolism in breast cancer. We hypothesized that Oxabicycloheptene sulfonate (OBHS), a class of compounds that function as selective estrogen receptor modulators, may hold potential in a therapy for breast cancer glycometabolism. Here, we evaluated concentrations of glucose, glucose transporters, lactate, 40 metabolic intermediates, and glycolytic enzymes using an enzyme-linked immunosorbent assay, Western blotting, and targeted metabolomic analysis in, in vitro and in vivo breast cancer models. OBHS significantly inhibited the expression of glucose transporter 1 (GLUT1) via PI3K/Akt signaling pathway to suppress breast cancer progression and proliferation. Following an investigation of the modulatory effect of OBHS on breast cancer cells, we found that OBHS suppressed the glucose phosphorylation and oxidative phosphorylation of glycolytic enzymes, leading to the decreased biological synthesis of ATP. This study was novel in highlighting the role of OBHS in the remodeling of tumor glycometabolism in breast cancer, and this is worth further investigation of breast cancer in clinical trials.

Model construction of factors influencing intensive care unit nurses' medical device-related pressure injury knowledge, attitude, and practice.

The ability of knowledge, attitude, and practice of intensive care unit (ICU) nurses to perform medical device-related pressure injuries (MDRPIs) can affect the incidence of MDRPI in ICU patients. Therefore, in order to improve ICU nurses' understanding and nursing ability of MDRPIs, we investigated the non-linear relationship (synergistic and superimposed relationships) between the factors influencing ICU nurses' ability of knowledge, attitude, and practice. A Clinical Nurses' Knowledge, Attitude, and Practice Questionnaire for the Prevention of MDRPI in Critically Ill Patients was administered to 322 ICU nurses from tertiary hospitals in China from January 1, 2022 to June 31, 2022. After the questionnaire was distributed, the data were collected and sorted out, and the corresponding statistical analysis and modelling software was used to analyse the data. IBM SPSS 25.0 software was used to conduct Single factor analysis and Logistic regression analysis on the data, so as to screen the statistically significant influencing factors. IBM SPSS Modeler18.0 software was used to construct a decision tree model of the factors influencing MDRPI knowledge, attitude, and practice of ICU nurses, and ROC curves were plotted to analyse the accuracy of the model. The results showed that the overall passing rate of ICU nurses' knowledge, attitude, and practice score was 72%. The statistically significant predictor variables ranked in importance were education background (0.35), training (0.31), years of working (0.24), and professional title (0.10). AUC = 0.718, model prediction performance is good. There is a synergistic and superimposed relationship between high education background, attended training, high years of working and high professional title. Nurses with the above factors have strong MDRPI knowledge, attitude, and practice ability. Therefore, nursing managers can develop a reasonable and effective scheduling system and MDRPI training program based on the study results. The ultimate goal is to improve the ability of ICU nurses to know and act on MDRPI and to reduce the incidence of MDRPI in ICU patients.

Self-Calibration 3D Hybrid SERS Substrate and Its Application in Quantitative Analysis.

Surface-enhanced Raman spectroscopy (SERS) has been widely applied in many fields as a sensitive vibrational fingerprint technique. However, SERS faces challenges in quantitative analysis due to the heterogeneity of hot spots. An internal standard (IS) strategy has been employed for correcting the variation of hot spots. However, the method suffers from limitations due to the competitive adsorption between the IS and the target analyte. In this work, we combined the IS strategy with the 3D hybrid nanostructures to develop a bifunctional SERS substrate. The substrate had two functional units. The bottom self-assembly layer consisted of Au@IS@SiO2 nanoparticles, which provided a stable reference signal and functioned as the calibration unit. The top one consisted of appropriate-sized Au octahedrons for the detection of target analytes, which was the detection unit. Within the 3D hybrid nanostructure, the calibration unit improved the SERS performance of the detection unit, which was demonstrated by the 6-fold increase of SERS intensity when compared with the 2D substrate. Meanwhile, the reproducibility of the detection was greatly improved by correcting the hot spot changes through the calibration unit. Two biomedical molecules of cotinine and creatinine in ultrapure water and artificial urine, respectively, were sensitively determined by the 3D hybrid substrate. We expect that the developed bifunctional 3D substrate will open up new ways to advance the applications of SERS.

Exploring the Effect of Pd on the Oxygen Reduction Performance of Pt by In Situ Raman Spectroscopy.

Directly monitoring the oxygen reduction reaction (ORR) process in situ is very important to deeply understand the reaction mechanism and is a critical guideline for the design of high-efficiency catalysts, but there is still lack of definite in situ evidence to clarify the effect between adsorbed intermediates and the strain/electronic effect for enhanced ORR performance. Herein, in situ surface-enhanced Raman spectroscopy (SERS) was employed to detect the intermediates during the ORR process on the Au@Pd@Pt core/shell heterogeneous nanoparticles (NPs). Direct spectroscopic evidence of the *OOH intermediate was obtained, and an obvious red shift of the *OOH frequency was identified with the controllable shell thickness of Pd. Detailed experimental characterizations and density functional theory (DFT) calculations demonstrated that such improved ORR activity after inducing Pd into Au@Pt NPs can be attributed to the optimized adsorbate-substrate interaction due to the strain and electronic effect, leading to a higher Pt-O binding energy and a lower O-O binding energy, which was conducive to O-O dissociation and promoted the subsequent reaction. Notably, this work illustrates a relationship between the performance and strain/electronic effect via the intermediate detected by SERS and paves the way for the construction of ORR electrocatalysts with high performance.

The clinical value of long noncoding RNA GAS5 in acute ischemic stroke: Correlation with disease risk, inflammation, severity, and risk of recurrence.

BACKGROUND: Long noncoding RNA growth arrest-specific 5 (lnc-GAS5) is involved in the pathophysiology of acute ischemic stroke (AIS) by regulating vascular stenosis, inflammation, and neurocyte apoptosis. This study aimed to explore the clinical value of lnc-GAS5 in patients with AIS. METHODS: Plasma samples were collected from 120 patients with AIS at admission and 60 controls after enrollment, and lnc-GAS5 expression in the plasma of all participants was assessed by reverse transcription quantitative polymerase chain reaction. In patients with AIS, disease severity was evaluated using National Institute of Health Stroke Scale (NIHSS) score, and plasma inflammatory cytokine levels were measured by enzyme-linked immunosorbent assay. Recurrence-free survival (RFS) was calculated during a 36-month follow-up period. RESULTS: Lnc-GAS5 expression levels were higher in patients with AIS than in the controls (p < 0.001), and it had the potential to discriminate the controls from patients with AIS (area under the curve: 0.893, 95% confidence interval: 0.849-0.938). In patients with AIS, elevated lnc-GAS5 levels were positively correlated with NIHSS score (r = 0.397, p < 0.001), diabetes mellitus (p = 0.046), and higher levels of tumor necrosis factor alpha (TNF-α; r = 0.374, p < 0.001), interleukin-6 (IL-6; r = 0.223, p < 0.001), and interleukin-17A (IL-17A; r = 0.222, p = 0.015). The expression levels of lnc-GAS5 were also negatively correlated with the levels of interleukin-10 (IL-10; r = -0.350, p < 0.001) and RFS (p = 0.036). CONCLUSION: Lnc-GAS5 is correlated with higher susceptibility to AIS, inflammation, and severity, and can predict an increased risk of AIS recurrence, indicating that monitoring of lnc-GAS5 might improve the management of AIS.

Novel Insights into Anthocyanin Synthesis in the Calyx of Roselle Using Integrated Transcriptomic and Metabolomic Analyses.

Roselle (Hibiscus sabdariffa L.) is an annual herbaceous plant of the genus Hibiscus in family Malvaceae. Roselle calyxes are rich in anthocyanins, which play important roles in human health. However, limited information is available on anthocyanin biosynthesis in the roselle calyx. In this study, transcriptomic and metabolomic analyses were performed to identify the key genes involved in anthocyanin biosynthesis in the roselle calyx. Three roselle cultivars with different calyx colors, including FZ-72 (red calyx, R), Baitao K (green calyx, G), and MG5 (stripped calyx, S), were used for metabolomic analyses with UPLC-Q-TOF/MS and RNA-seq. Forty-one compounds were quantified, including six flavonoids and 35 anthocyanins. The calyx of FZ-72 (red calyx) had the highest contents of anthocyanin derivatives such as delphinidin-3-O-sambubioside (955.11 µg/g) and cyanidin-3-O-sambubioside (531.37 µg/g), which were responsible for calyx color, followed by those in MG5 (stripped calyx) (851.97 and 330.06 µg/g, respectively). Baitao K (green calyx) had the lowest levels of these compounds. Furthermore, RNA-seq analysis revealed 114,415 differentially expressed genes (DEGs) in the calyxes at 30 days after flowering (DAF) for the corresponding cultivars FZ-72 (R), Baitao K (G), and MG5(S). The gene expression levels in the calyxes of the three cultivars were compared at different flowering stages, revealing 11,555, 11,949, and 7177 DEGs in R vs. G, R vs. S, and G vs. S, respectively. Phenylpropanoid and flavonoid biosynthesis pathways were found to be enriched. In the flavonoid pathway, 29, 28, and 27 genes were identified in G vs. R, G vs. S, and S vs. R, respectively. In the anthocyanin synthesis pathway, two, two, and one differential genes were identified in the three combinations; these differential genes belonged to the UFGT gene family. After joint analysis of the anthocyanin content in roselle calyxes, nine key genes belonging to the CHS, CHI, UFGT, FLS, ANR, DFR, CCoAOMT, SAT, and HST gene families were identified as strongly related to anthocyanin synthesis. These nine genes were verified using qRT-PCR, and the results were consistent with the transcriptome data. Overall, this study presents the first report on anthocyanin biosynthesis in roselle, laying a foundation for breeding roselle cultivars with high anthocyanin content.

Instantly Detecting Catalysts' Hot Spots Temperature In Situ during Photocatalysis by Operando Raman Spectroscopy.

Precisely detecting the catalysts' hot spots temperature in situ instantly during photocatalysis is a great challenge but extremely important for chemical reactions. However, no efficient method has been developed to instantly detect the hot spots temperature in situ during photocatalysis. Herein, we designed a simple and convenient method to measure the instant hot spots temperature in situ on the nanostructure surface during photocatalysis by operando Raman spectroscopy using 4-methoxyphenyl isocyanide (MI) as the probe molecule. The νN≡C frequency of MI varied linearly with temperature, which is caused by the orientation change of the MI induced by temperature, leading to the change in the frequency of the νN≡C bond that directly interacts with the nanostructure surface. Using in situ surface-enhanced Raman spectroscopy (SERS), the surface temperature of the catalysts illuminating for each time can be measured instantly. Interestingly, the catalytic activity of the hydrogen evolution reaction (HER) for the Au-Ag/Ag2S heterojunction nanorods (HJNRs) are higher than that for the Ag-Au-Ag HJNRs, although they have a lower surface temperature during photocatalysis; therefore, hot carriers and electronic structure contributed more to the catalytic activity of the Au-Ag/Ag2S HJNRs than that of the Ag-Au-Ag HJNRs. Such an instant hot spots temperature detecting method of catalysts can greatly facilitate the analysis of the mechanism of catalytic processes.

Reference genomes of the two cultivated jute species.

Cultivated jute, which comprises the two species Corchorus capsularis and C. olitorius, is the second most important natural fibre source after cotton. Here we describe chromosome-level assemblies of the genomes of both cultivated species. The C. capsularis and C. olitorius assemblies are each comprised of seven pseudo-chromosomes, with the C. capsularis assembly consisting of 336 Mb with 25,874 genes and the C. olitorius assembly containing 361 Mb with 28 479 genes. Although the two Corchorus genomes exhibit collinearity, the genome of C. olitorius contains 25 Mb of additional sequences than that of C. capsularis with 13 putative inversions, which might give a hint to the difference of phenotypic variants between the two cultivated jute species. Analysis of gene expression in isolated fibre tissues reveals candidate genes involved in fibre development. Our analysis of the population structures of 242 cultivars from C. capsularis and 57 cultivars from C. olitorius by whole-genome resequencing resulted in post-domestication bottlenecks occurred ~2000 years ago in these species. We identified hundreds of putative significant marker-trait associations (MTAs) controlling fibre fineness, cellulose content and lignin content of fibre by integrating data from genome-wide association studies (GWAS) with data from analyses of selective sweeps due to natural and artificial selection in these two jute species. Among them, we further validated that CcCOBRA1 and CcC4H1 regulate fibre quality in transgenic plants via improving the biosynthesis of the secondary cell wall. Our results yielded important new resources for functional genomics research and genetic improvement in jute and allied fibre crops.

Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).

Pea (Pisum sativum L.), a cool-season legume crop grown in more than 85 countries, is the second most important grain legume and one of the major green vegetables in the world. While pea was historically studied as the genetic model leading to the discovery of the laws of genetics, pea research has lagged behind that of other major legumes in the genomics era, due to its large and complex genome. The evolving climate change and growing population have posed grand challenges to the objective of feeding the world, making it essential to invest research efforts to develop multi-omics resources and advanced breeding tools to support fast and continuous development of improved pea varieties. Recently, the pea researchers have achieved key milestones in omics and molecular breeding. The present review provides an overview of the recent important progress including the development of genetic resource databases, high-throughput genotyping assays, reference genome, genes/QTLs responsible for important traits, transcriptomic, proteomic, and phenomic atlases of various tissues under different conditions. These multi-faceted resources have enabled the successful implementation of various markers for monitoring early-generation populations as in marker-assisted backcrossing breeding programs. The emerging new breeding approaches such as CRISPR, speed breeding, and genomic selection are starting to change the paradigm of pea breeding. Collectively, the rich omics resources and omics-enable breeding approaches will enhance genetic gain in pea breeding and accelerate the release of novel pea varieties to meet the elevating demands on productivity and quality.

The genome of kenaf (Hibiscus cannabinus L.) provides insights into bast fibre and leaf shape biogenesis.

Kenaf is an annual crop that is widely cultivated as a source of bast (phloem) fibres, the phytoremediation of heavy metal-contaminated farmlands and textile-relevant compounds. Leaf shape played a unique role in kenaf improvement, due to the inheritance as a single locus and the association with fibre development in typical lobed-leaf varieties. Here we report a high-quality genome assembly and annotation for var. 'Fuhong 952' with 1078 Mbp genome and 66 004 protein-coding genes integrating single-molecule real-time sequencing, a high-density genetic map and high-throughput chromosome conformation capture techniques. Gene mapping assists the identification of a homeobox transcription factor LATE MERISTEM IDENTITY 1 (HcLMI1) gene controlling lobed-leaf. Virus-induced gene silencing (VIGS) of HcLMI1 in a lobed-leaf variety was critical to induce round (entire)-like leaf formation. Candidate genes involved in cell wall formation were found in quantitative trait loci (QTL) for fibre yield and quality-related traits. Comparative genomic and transcriptome analyses revealed key genes involved in bast fibre formation, among which there are twice as many cellulose synthase A (CesA) genes due to a recent whole-genome duplication after divergence from Gossypium. Population genomic analysis showed two recent population bottlenecks in kenaf, suggesting domestication and improvement process have led to an increase in fibre biogenesis and yield. This chromosome-scale genome provides an important framework and toolkit for sequence-directed genetic improvement of fibre crops.