Multi-omic analysis tools for microbial metabolites prediction.

How to resolve the metabolic dark matter of microorganisms has long been a challenging problem in discovering active molecules. Diverse omics tools have been developed to guide the discovery and characterization of various microbial metabolites, which make it gradually possible to predict the overall metabolites for individual strains. The combinations of multi-omic analysis tools effectively compensates for the shortcomings of current studies that focus only on single omics or a broad class of metabolites. In this review, we systematically update, categorize and sort out different analysis tools for microbial metabolites prediction in the last five years to appeal for the multi-omic combination on the understanding of the metabolic nature of microbes. First, we provide the general survey on different updated prediction databases, webservers, or software that based on genomics, transcriptomics, proteomics, and metabolomics, respectively. Then, we discuss the essentiality on the integration of multi-omics data to predict metabolites of different microbial strains and communities, as well as stressing the combination of other techniques, such as systems biology methods and data-driven algorithms. Finally, we identify key challenges and trends in developing multi-omic analysis tools for more comprehensive prediction on diverse microbial metabolites that contribute to human health and disease treatment.

Compact RNA editors with natural miniature Cas13j nucleases.

Clustered regularly interspaced short palindromic repeats-Cas13 effectors are used for RNA editing but the adeno-associated virus (AAV) packaging limitations because of their big sizes hinder their therapeutic application. Here we report the identification of the Cas13j family, with LepCas13j (529 aa) and ChiCas13j (424 aa) being the smallest and most highly efficient variants for RNA interference. The miniaturized Cas13j proteins enable the development of compact RNA base editors. Chi-RESCUE-S, by fusing dChiCas13j with hADAR2dd, demonstrates high efficiency and specificity in A-to-G and C-to-U conversions. Importantly, this system is compatible with single-AAV packaging without the need for protein sequence truncation. It successfully corrected pathogenic mutations, such as APOC3D65N and SCN9AR896Q, to the wild-type forms. In addition, we developed an optimized system, Chi-RESCUE-S-mini3, which pioneered efficient in vivo C-to-U RNA editing of PCSK9 in mice through single-AAV delivery, resulting in reduced total cholesterol levels. These results highlight the potential of Cas13j to treat human diseases.

Microbe-bridged disease-metabolite associations identification by heterogeneous graph fusion.

MOTIVATION: Metabolomics has developed rapidly in recent years, and metabolism-related databases are also gradually constructed. Nowadays, more and more studies are being carried out on diverse microbes, metabolites and diseases. However, the logics of various associations among microbes, metabolites and diseases are limited understanding in the biomedicine of gut microbial system. The collection and analysis of relevant microbial bioinformation play an important role in the revelation of microbe-metabolite-disease associations. Therefore, the dataset that integrates multiple relationships and the method based on complex heterogeneous graphs need to be developed. RESULTS: In this study, we integrated some databases and extracted a variety of associations data among microbes, metabolites and diseases. After obtaining the three interconnected bilateral association data (microbe-metabolite, metabolite-disease and disease-microbe), we considered building a heterogeneous graph to describe the association data. In our model, microbes were used as a bridge between diseases and metabolites. In order to fuse the information of disease-microbe-metabolite graph, we used the bipartite graph attention network on the disease-microbe and metabolite-microbe bipartite graph. The experimental results show that our model has good performance in the prediction of various disease-metabolite associations. Through the case study of type 2 diabetes mellitus, Parkinson's disease, inflammatory bowel disease and liver cirrhosis, it is noted that our proposed methodology are valuable for the mining of other associations and the prediction of biomarkers for different human diseases.Availability and implementation: https://github.com/Selenefreeze/DiMiMe.git.

The MarR family regulator RmaH mediates acid tolerance of Lactococcus lactis through regulating peptidoglycan modification genes.

Lactococcus lactis, widely used in the food fermentation industry, has developed various ways to regulate acid adaptation in the process of evolution. The investigation into how peptidoglycan (PG) senses and responds to acid stress is an expanding field. Here, we addressed the regulation of murT-gatD genes which are responsible for the amidation of PG D-Glu. We found that lactic acid stress reduced murT-gatD expression, and overexpressing these genes notably decreased acid tolerance of L. lactis NZ9000, possibly due to a reduction in PG's negative charge, facilitating the influx of extracellular protons into the cell. Subsequently, using a combination of DNA pull-down assay and electrophoretic mobility shift assay (EMSA), we identified a novel MarR family regulator, RmaH, as an activator of murT-gatD transcription. Further MEME motif prediction, EMSA verification and fluorescent protein reporter assay showed that RmaH directly bound to the DNA motif 5'-KGVAWWTTTTGCT-3' located in the upstream region of murT-gatD. Beyond the mechanistic investigation of RmaH activation of murT-gatD, this study provides new insight into how peptidoglycan modification is regulated and responds to lactic acid stress.

AcrR1, a novel TetR/AcrR family repressor, mediates acid and antibiotic resistance and nisin biosynthesis in Lactococcus lactis F44.

Lactococcus lactis, widely used in the manufacture of dairy products, encounters various environmental stresses both in natural habitats and during industrial processes. It has evolved intricate machinery of stress sensing and defense to survive harsh stress conditions. Here, we identified a novel TetR/AcrR family transcription regulator, designated AcrR1, to be a repressor for acid and antibiotic tolerance that was derepressed in the presence of vancomycin or under acid stress. The survival rates of acrR1 deletion strain ΔAcrR1 under acid and vancomycin stresses were about 28.7-fold (pH 3.0, HCl), 8.57-fold (pH 4.0, lactic acid) and 2.73-fold (300 ng/mL vancomycin) greater than that of original strain F44. We also demonstrated that ΔAcrR1 was better able to maintain intracellular pH homeostasis and had a lower affinity to vancomycin. No evident effects of AcrR1 deletion on the growth and morphology of strain F44 were observed. Subsequently, we characterized that the transcription level of genes associated with amino acids biosynthesis, carbohydrate transport and metabolism, multidrug resistance, and DNA repair proteins significantly upregulated in ΔAcrR1 using transcriptome analysis and quantitative reverse transcription-PCR assays. Additionally, AcrR1 could repress the transcription of the nisin post-translational modification gene, nisC, leading to a 16.3% increase in nisin yield after AcrR1 deletion. Our results not only refined the knowledge of the regulatory mechanism of TetR/AcrR family regulator in L. lactis, but presented a potential strategy to enhance industrial production of nisin.

QSIdb: quorum sensing interference molecules.

Quorum sensing interference (QSI), the disruption and manipulation of quorum sensing (QS) in the dynamic control of bacteria populations could be widely applied in synthetic biology to realize dynamic metabolic control and develop potential clinical therapies. Conventionally, limited QSI molecules (QSIMs) were developed based on molecular structures or for specific QS receptors, which are in short supply for various interferences and manipulations of QS systems. In this study, we developed QSIdb (http://qsidb.lbci.net/), a specialized repository of 633 reported QSIMs and 73 073 expanded QSIMs including both QS agonists and antagonists. We have collected all reported QSIMs in literatures focused on the modifications of N-acyl homoserine lactones, natural QSIMs and synthetic QS analogues. Moreover, we developed a pipeline with SMILES-based similarity assessment algorithms and docking-based validations to mine potential QSIMs from existing 138 805 608 compounds in the PubChem database. In addition, we proposed a new measure, pocketedit, for assessing the similarities of active protein pockets or QSIMs crosstalk, and obtained 273 possible potential broad-spectrum QSIMs. We provided user-friendly browsing and searching facilities for easy data retrieval and comparison. QSIdb could assist the scientific community in understanding QS-related therapeutics, manipulating QS-based genetic circuits in metabolic engineering, developing potential broad-spectrum QSIMs and expanding new ligands for other receptors.

Underlying Systemic Diseases in Interstitial Granulomatous Dermatitis and Palisaded Neutrophilic Granulomatous Dermatitis: A Systematic Review.

BACKGROUND: Interstitial granulomatous dermatitis (IGD) and palisaded neutrophilic granulomatous dermatitis (PNGD) are uncommon presentations of reactive granulomatous dermatitis. Histologic lesions characterized by IGD/PNGD patterns have been associated with systemic diseases, causing an unmet need for revealing clinical correlates. OBJECTIVE: The aim of this study was to unravel the systemic diseases beyond dermatitis of IGD/PNGD. METHODS: This study analyzed data from case studies, case series, and retrospective cohorts by searching PubMed, Embase, Web of Science, and the Cochrane Library, with no start date or language restrictions on Sep 4, 2021. RESULTS: One hundred ninety-six publications were included (458 cases in total, 216 with details). Systemic diseases associated with IGD/PNGD were classified into 5 groups. Autoimmune disorders (n = 103, 47.6%) including rheumatoid arthritis (n = 51, 23.6%), systemic lupus erythematosus (n = 20, 9.3%), and others were the most common across all underlying diseases, followed by drug eruption (n = 52, 24.1%) such as tumor necrotic factor inhibitor reaction (n = 18, 8.3%) and malignancies (n = 27, 12.5%) such as hematologic malignancy (n = 20, 9.3%). The rest were infectious diseases (n = 12, 5.6%) and accidental conditions (n = 3, 1.4%). CONCLUSION: IGD/PNGD might be associated with autoimmune disorders, drug eruption, malignancies, infectious diseases, and accidental conditions. Patients with IGD/PNGD need further follow-up.

Mini-Review: The Diagnostic Methods of Tinea Capitis.

Tinea capitis is a widespread superficial fungal infection that affects children predominately. Microscopic examination and fungal culture are the conventional gold standards for diagnosis, but they are insensitive and time-consuming. In recent years, new diagnostic methods have been developed to facilitate the diagnosis and identification of causative pathogens. Trichoscopy examination showed high sensitivity and specificity for diagnosing tinea capitis with the characteristic signs of comma hairs, corkscrew hairs, bar code-like hairs and zigzag hairs. Reflectance confocal microscopy has also been used in the rapid diagnosis of tinea capitis in several studies. Molecular assays such as polymerase chain reaction and matrix-assisted desorption/ionization time to flight mass spectrometry are extensively utilized for rapid and accurate identification of the pathogens. Early diagnosis and treatment can aid in disease control and scarring reduction.

Clinical Features and Skin Microbiome of Tinea Scrotum: An Observational Study of 113 Cases in China.

BACKGROUND: The scrotum is considered as an uncommon site for tinea, hence there is a lack of knowledge about the clinical characteristics, pathogenic agents and the skin microbiome changes of tinea scrotum. OBJECTIVE: We sought to analyze the clinical features, pathogenic agents and skin microbiome of tinea scrotum. METHODS: A two-center prospective observational study was carried out in outpatient dermatology clinics in Zhejiang, China, from September 2017 to September 2019. The diagnosis of tinea scrotum was confirmed by direct microscopy. Clinical and mycological data were collected. The composition of microbial communities of patients with tinea scrotum was analyzed and compared with healthy controls. RESULTS: A total of 113 patients with tinea scrotum were included. Tinea scrotum was either presented with isolated lesions (9/113, 8.0%) or accompanied by tinea of other sites (104/113, 92.0%). Tinea cruris was detected in 101 cases (89.38%). Fungal culture was positive in 63 cases, among which Trichophyton rubrum was grown in 60 cases (95.2%) and Nannizzia gypsea was cultured in 3 cases (4.8%). The skin microbiome in scrotum lesions from 18 patients showed increased abundance of Trichophyton compared with 18 healthy individuals, while Malassezia was decreased. No significant difference in bacterial diversity was found. CONCLUSIONS: Tinea scrotum was often companied by superficial fungal infections of other skin sites, with tinea cruris being the most common condition. Instead of N. gypsea, T. rubrum was the most frequently identified pathogen for tinea scrotum. In general, tinea scrotum exhibited changes in the fungal communities of the skin with increased Trichophyton and decreased Malassezia abundance.

Achievements and perspectives of synthetic biology in botanical insecticides.

Botanical insecticides are the origin of all insecticidal compounds. They have been widely used to control pests in crops for a long time. Currently, the commercial production of botanical insecticides extracted from plants is limited because of insufficient raw material supply. Synthetic biology is a promising and effective approach for addressing the current problems of the production of botanical insecticides. It is an emerging biological research hotspot in the field of botanical insecticides. However, the biosynthetic pathways of many botanical insecticides are not completely elucidated. On the other hand, the cytotoxicity of botanical pesticides and low efficiency of these biosynthetic enzymes in new hosts make it still challenging for their heterologous production. In the present review, we summarized the recent developments in the heterologous production of botanical insecticides, analyzed the current challenges, and discussed the feasible production strategies, focusing on elucidating biosynthetic pathways, enzyme engineering, host engineering, and cytotoxicity engineering. Looking to the future, synthetic biology promises to further advance heterologous production of more botanical pesticides.

Systems-Level Analysis of the Global Regulatory Mechanism of CodY in Lactococcus lactis Metabolism and Nisin Immunity Modulation.

Bacteria adapt to the constantly changing environment by regulating their metabolism. The global transcriptional regulator CodY is known to regulate metabolism in low-G+C Gram-positive bacteria. Systems-level identification of its direct targets by proteome and chromatin immunoprecipitation followed by sequencing (ChIP-seq) assays have rarely been reported. Here, we identified that CodY serves as an activator or a repressor of hundreds of genes involved in nitrogen metabolism, carbohydrate metabolism, and transcription through iTRAQ proteome and ChIP-seq. Combined with the electrophoretic mobility shift assay (EMSA), apart from the genes associated with amino acid biosynthesis (ilvD, leuA, optS, ybbD, dtpT, and pepN), genes involved in cell wall synthesis (murD and ftsW) and nisin immunity (nisI) were identified as being regulated by CodY. Moreover, it was demonstrated by nisin resistance assay that CodY activated the transcription of nisI and contributed to nisin immunity. Intriguingly, CodY showed a self-regulation through binding to the motif AAAGGTGTGACAACT in the coding sequence (CDS) region of codY, as verified by DNase I footprinting assay and MEME analysis. In addition, a novel conserved AT-rich motif, AATWTTCTGACAATT, was obtained in L. lactis F44. This study provides new insights into the comprehensive CodY regulation in L. lactis by controlling metabolism, nisin immunity, and self-expression. IMPORTANCE Lactococcus lactis, a species of lactic acid bacteria (LAB) widely used in food fermentation, has been the model strain in genetic engineering, and its application has extended from food to microbial cell factories. CodY is a global regulator in low-G+C Gram-positive bacteria. Its function and direct target genes at the genome-level are little known in L. lactis. In this study, we describe the comprehensive regulation mechanism of CodY. It widely modulated the metabolism of nitrogen and carbohydrate, cell wall synthesis, and nisin immunity in L. lactis F44, and its expression level was regulated by feedback control.

Incorporation of Non-Canonical Amino Acids into Antimicrobial Peptides: Advances, Challenges, and Perspectives.

The emergence of antimicrobial resistance is a global health concern and calls for the development of novel antibiotic agents. Antimicrobial peptides seem to be promising candidates due to their diverse sources, mechanisms of action, and physicochemical characteristics, as well as the relatively low emergence of resistance. The incorporation of noncanonical amino acids into antimicrobial peptides could effectively improve their physicochemical and pharmacological diversity. Recently, various antimicrobial peptides variants with improved or novel properties have been produced by the incorporation of single and multiple distinct noncanonical amino acids. In this review, we summarize strategies for the incorporation of noncanonical amino acids into antimicrobial peptides, as well as their features and suitabilities. Recent applications of noncanonical amino acid incorporation into antimicrobial peptides are also presented. Finally, we discuss the related challenges and prospects.

Genetic and pharmacological targeting of GSDMD ameliorates systemic inflammation in macrophage activation syndrome.

Macrophage activation syndrome (MAS), a potentially life-threatening complication of autoimmune/autoinflammatory diseases, is characterized by the excessive expansion and activation of macrophages and cytotoxic T lymphocytes in multiple organs. Most commonly, MAS occurs in patients with systemic juvenile idiopathic arthritis and in its adult equivalent, adult-onset Still's disease (AOSD). Gasdermin D (GSDMD) is a critical pore-forming effector protein that mediates pro-inflammatory cytokine secretion via releasing its N terminal fragments to form transmembrane pores. GSDMD has been implicated in various inflammatory diseases, however, its role in MAS remains elusive. Here, we unveiled that the serum levels of GSDMD-N were elevated in patients with AOSD compared to heathy controls. In addition, the emergence of MAS features in AOSD patients resulted in further elevation. The serum levels of GSDMD were positively correlated with ferritin and interleukin-18 (IL-18). Repeated toll-like receptor 9 stimulation with unmethylated cytosine-phosphate-guanine (CpG) induced MAS symptoms in wild-type mice, including body weight loss, pancytopenia and hepatosplenomegaly. Genetic deletion and pharmacological inhibition of GSDMD ameliorated MAS symptoms in mice with the concomitant reduction of splenic and hepatic macrophage infiltration and IL-18 production. Consistent with these in vivo results, bone marrow-derived macrophages obtained from GSDMD-/- mice or treated with GSDMD inhibitor disulfiram exhibited attenuated IL-18 expression after CpG stimulation. Collectively, our findings identified GSDMD as a novel marker for MAS complication and a promising target for MAS treatment.

LssR plays a positive regulatory role in acid and nisin tolerance response of Lactococcus lactis.

In Lactococcus lactis, different regulation mechanisms can be activated to overcome the effects of adverse environmental stresses. Here, a TetR family regulator LssR was demonstrated as a positive regulator in the activation of the mechanisms involved in acid and nisin tolerance of L. lactis. The deletion of lssR led to the reduction of tolerance of L. lactis NZ9000 to nisin and acid stress, and the survival rates of NZ9000 under nisin and acid stress were roughly 20-fold, 10-fold (pH 3.0, hydrochloric acid), and 8.9-fold (pH 4.0, lactic acid) of the lssR mutant NZΔlssR, respectively. Moreover, the lssR mutant NZΔlssR also displayed a lower intracellular pH stability and a changed cell surface morphology. Subsequently, transcriptome analysis revealed that genes related to the arginine deiminase pathway, the surface polysaccharides biosynthesis, carbohydrates transport and metabolism, multidrug resistance, cell repair proteins and chaperones were predominantly down transcribed in NZΔlssR. The transcript levels of the arginine deiminase pathway and the surface polysaccharides biosynthesis-associated genes under acid and nisin stresses were compared between the wild type NZ9000 and NZΔlssR using real-time fluorescence quantitative PCR. It revealed that the arginine deiminase pathway genes (arcD1C1C2T) and the surface polysaccharides biosynthesis genes (cgT, gmhB, gmhA, hddA, tagH and tarS) were proposed to be the main regulatory mechanisms of LssR in response to the acid and nisin stresses. Overall, the important role of LssR in the acid and nisin stresses response was demonstrated and the putative regulation mechanism of LssR was revealed.

Positive regulation of the DLT operon by TCSR7 enhances acid tolerance of Lactococcus lactis F44.

Lactococcus lactis, a lactic acid bacterium, has been widely used in the fermented dairy products. The acid tolerance of L. lactis is of great importance to food fermentation and probiotic applications. As the first barrier of bacteria, the cell wall has a protective effect on strains under many stress conditions, whereas the regulatory mechanism has rarely been reported. Here, based on the transcription analysis of 9 cell wall or membrane-related genes of L. lactis F44 under acid stress, the transcription levels of DACB, DLTD, YLBA, HRTA, WP_080613266.1 (1610), and ERFK genes were significantly increased. We constructed 9 overexpressing strains with the cell wall or membrane-related genes, respectively. It was demonstrated that the survival rates under acid stress of DACB, DLTD, and ERFK were significantly higher than that of wild-type F44. To investigate the regulatory mechanism, a DNA pull-down assay was used to identify the transcriptional regulators of these 3 genes. It was discovered that the 2-component system (TCS) transcriptional regulator TCSR7 bound to the upstream region of DLTD involved in the teichoic acid (TA) alanylation. The combination was confirmed through an electrophoretic mobility shift assay in vitro. Reverse-transcription quantitative PCR results indicated that TCSR7 upregulated the expression of DLTD gene. In addition, the transcription level of TCSR7 increased approximately 1.8-fold (log2 fold change) under acidic conditions. In summary, this study found that TCSR7 was induced by acid stress to upregulate the transcription level of the DLT operon genes, which might increase the positive charge on the cell membrane surface to increase the acid tolerance of the strain. This study lays the foundation for the regulatory mechanism of TA alanylation under acid stress.

Comparative transcriptome analysis of sesquiterpene biosynthesis and functional characterization of sesquiterpene synthases in Leonurus sibiricus L.

MAIN CONCLUSION: Two sesquiterpene synthases were identified through comparative transcriptome analysis of Leonurus sibiricus. LsSqTPS2 could produce high titer of δ-cadinene in vivo which suggests the terpene specificity of L. sibiricus. Leonurus sibiricus L., a medicinal herb, is widely used in China due to its pharmacological activities. Cadinene type sesquiterpenes, one of major bioactive components mainly present in aerial parts of L. sibiricus, showed antibacterial, anti-inflammatory, antioxidant and antiproliferative properties. However, there is no report about the sesquiterpene biosynthesis in L. sibiricus. This study identified L. sibiricus sesquiterpene synthases (LsSqTPSs) through comparative transcriptome analysis of L. sibiricus leaf and root samples using the BGISEQ-500 sequencing technique. A total of 83,244 unigenes were obtained with an average length of 1025 bp. Among them, 50,356 unigenes (60.49%) acquired annotations according to the BLAST searching results. A total of 68 differentially expressed genes (DEGs) were potentially involved in the sesquiterpene biosynthesis. Furthermore, four candidate DEGs encoding LsSqTPSs were characterized. The enzymatic characterization in engineered yeast showed that LsSqTPS1 produced α-farnesene as the single product and LsSqTPS2 mainly produced 76.23 mg/L of δ-cadinene, which constituted the major component of L. sibiricus leaf essential oil. This work contributes to the investigation of sesquiterpene biosynthesis in L. sibiricus.

Combinational quorum sensing devices for dynamic control in cross-feeding cocultivation.

Quorum sensing (QS) offers cell density dependent dynamic regulations in cell culture through devices such as synchronized lysis circuit (SLC) and metabolic toggle switch (MTS). However, there is still a lack of studies on cocultivation with a combination of different QS-based devices. Taking the production of isopropanol and salidroside as case studies, we have mathematically modeled a comprehensive set of QS-regulated cocultivation schemes and constructed experimental combinations of QS devices, respectively, to evaluate their feasibility and optimality for regulating growth competition and corporative production. Glucose split ratio is proposed for the analysis of competition between cell growth and targeted production. Results show that the combination of different QS devices across multiple members offers a new tool with the potential to effectively coordinate synthetic microbial consortia for achieving high product titer in cross-feeding cocultivation. It is also evident that the performance of such systems is significantly affected by dynamic characteristics of chosen QS devices, carbon source control and the operational settings. This study offers insights for future applications of combinational QS devices in synthetic microbial consortia.

Elevated carcinoembryonic antigen predicts rapidly progressive interstitial lung disease in clinically amyopathic dermatomyositis.

OBJECTIVES: The present study aimed to determine the correlation between serum carcinoembryonic antigen (CEA) level and the severity of interstitial lung disease (ILD) in clinically amyopathic DM (CADM) patients. METHODS: We performed a retrospective study including 41 Chinese CADM patients without malignancy. Serum CEA levels, clinical and laboratory findings were collected. Association tests between CEA levels and disease activity parameters were performed. RESULTS: Among the 41 patients, 16 (39.0%) developed rapidly progressive (RP)-ILD; of them, 14 (87.5%) had elevated serum CEA levels. Multivariate logistic regression analysis indicated that an elevated serum CEA level was an independent risk factor for RP-ILD. The incidence of elevated CEA level was significantly higher in patients with RP-ILD than in those without RP-ILD (87.5 vs 16.0%, P < 0.001). Furthermore, CEA levels were higher in patients with CADM with RP-ILD [26.87 (6.71) µg/l] than in those without RP-ILD [3.23 (0.64) µg/l] (P < 0.001). CEA levels in CADM patients were associated with the ferritin, alanine aminotransferase, aspartate aminotransferase and lactate dehydrogenase levels, and CT scores of the lungs. Also, elevated CEA levels are related to the organizing pneumonia pattern and lower lung zone consolidation in high-resolution CT. Moreover, the cumulative survival rate was significantly lower (68.4 vs 31.6%, P < 0.001) in the group with a CEA level >8.75 µg/l than that in the group with a CEA level <8.75 µg/l. CONCLUSIONS: An elevated serum CEA level is common in patients with CADM, and a higher serum CEA level is a powerful indicator of RP-ILD and poor prognosis in those patients.

De novo assembly of the Mylia taylorii transcriptome and identification of sesquiterpene synthases.

Mylia taylorii is an ancient nonseed land plant that accumulates various sesquiterpenes with insecticidal and antibacterial activities. Recently, microbial-type sesquiterpene synthases (STSs) with atypical aspartate-rich metal ion binding motifs have been identified in some liverworts. Here, transcriptome analysis of M. taylorii was performed to identify M. taylorii sesquiterpene synthases (MtSTSs) that are potentially involved in sesquiterpene biosynthesis and diversity. A total of 255,669 unigenes were obtained with an average length of 963 bp in the transcriptome data of M. taylorii, among which 148,093 (57.92%) unigenes had BLAST results. Forty-eight unigenes were related to the sesquiterpene backbone biosynthesis according to KEGG annotation. In addition, MtSTS1, MtSTS2 and MtSTS3 identified from putative MtSTSs display sesquiterpene catalytic activities on the basis of functional characterizations in yeast. Interestingly, MtSTSs exhibit a noncanonical metal ion binding motif and the structural composition of a single α-domain, which are features of microbial STSs instead of archetypical plant STSs. This study revealed new microbial-type STS members of nonseed plants, and functionally identified that MtSTSs may contribute to the investigation of the biosynthesis and biological role of sesquiterpenes in M. taylorii.

Types of nuclear localization signals and mechanisms of protein import into the nucleus.

Nuclear localization signals (NLS) are generally short peptides that act as a signal fragment that mediates the transport of proteins from the cytoplasm into the nucleus. This NLS-dependent protein recognition, a process necessary for cargo proteins to pass the nuclear envelope through the nuclear pore complex, is facilitated by members of the importin superfamily. Here, we summarized the types of NLS, focused on the recently reported related proteins containing nuclear localization signals, and briefly summarized some mechanisms that do not depend on nuclear localization signals into the nucleus. Video Abstract.