Codon Sequence Research Articles

Rapid identification of the predominant azole-resistant genotype in Candida tropicalis.

Candida tropicalis is a leading cause of non-albicans candidemia in tropical/sub-tropical areas and a predominant genotype of azole-resistant C. tropicalis clinical isolates belongs to clade 4. The aim of this study was to reveal markers for rapidly identifying the predominant azole-resistant Candida tropicalis genotype. We analysed XYR1, one of the six genes used in the multilocus sequence typing analysis, and SNQ2, an ATP-binding cassette (ABC) transporter in 281 C. tropicalis, including 120 and 161 from Taiwan and global areas, respectively. Intriguingly, the first 4-mer of codon sequences ATRA of CTRG_05 978 (96/119vs. 21/162, p<0.001, at phi=0. 679) and the SNQ2 A2977G resulting in amino acid I993V alternation (105/118vs.12/163, p<0.001, at phi=0.81) was significantly associated with the clade 4 genotype. The sensitivity and specificity of the clade 4 genotype detection with a combination of SNPs of CTRG_05 978 and SNQ2 were 0.812 and 0.994, respectively, at phi=0.838. Furthermore, we successfully established a TaqMan SNP genotyping assay to identify the clade 4 genotype. Our findings suggest that to improve the management of C. tropicalis infections, rapidly identifying azole-resistant C. tropicalis by detecting SNPs of CTRG_05 978 and SNQ2 is promising.

Comparative analysis of the whole mitochondrial genomes of four species in sect. Chrysantha (Camellia L.), endemic taxa in China

BackgroundThe sect. Chrysantha Chang of plants with yellow flowers of Camellia species as the “Queen of the Tea Family”, most of these species are narrowly distributed endemics of China and are currently listed Grde-II in National Key Protected Wild Plant of China. They are commercially important plants with horticultural medicinal and scientific research value. However, the study of the sect. Chrysantha species genetics are still in its infancy, to date, the mitochondrial genome in sect. Chrysantha has been still unexplored.ResultsIn this study, we provide a comprehensive assembly and annotation of the mitochondrial genomes for four species within the sect. Chrysantha. The results showed that the mitochondrial genomes were composed of closed-loop DNA molecules with sizes ranging from 850,836 bp (C. nitidissima) to 1,098,121 bp (C. tianeensis) with GC content of 45.71–45.78% and contained 48–58 genes, including 28–37 protein-coding genes, 17–20 tRNA genes and 2 rRNA genes. We also examined codon usage, sequence repeats, RNA editing and selective pressure in the four species. Then, we performed a comprehensive comparison of their basic structures, GC contents, codon preferences, repetitive sequences, RNA editing sites, Ka/Ks ratios, haplotypes, and RNA editing sites. The results showed that these plants differ little in gene type and number. C. nitidissima has the greatest variety of genes, while C. tianeensis has the greatest loss of genes. The Ka/Ks values of the atp6 gene in all four plants were greater than 1, indicating positive selection. And the codons ending in A and T were highly used. In addition, the RNA editing sites differed greatly in number, type, location, and efficiency. Twelve, six, five, and twelve horizontal gene transfer (HGT) fragments were found in C. tianeensis, Camellia huana, Camellia liberofilamenta, and C. nitidissima, respectively. The phylogenetic tree clusters the four species of sect. Chrysantha plants into one group, and C. huana and C. liberofilamenta have closer affinities.ConclusionsIn this study, the mitochondrial genomes of four sect. Chrysantha plants were assembled and annotated, and these results contribute to the development of new genetic markers, DNA barcode databases, genetic improvement and breeding, and provide important references for scientific research, population genetics, and kinship identification of sect. Chrysantha plants.

A statistical-physics approach for codon usage optimisation

The concept of “codon optimisation” involves adjusting the coding sequence of a target protein to account for the inherent codon preferences of a host species and maximise protein expression in that species. However, there is still a lack of consensus on the most effective approach to achieve optimal results. Existing methods typically depend on heuristic combinations of different variables, leaving the user with the final choice of the sequence hit. In this study, we propose a new statistical-physics model for codon optimisation. This model, called the Nearest-Neighbour interaction (NN) model, links the probability of any given codon sequence to the “interactions” between neighbouring codons. We used the model to design codon sequences for different proteins of interest, and we compared our sequences with the predictions of some commercial tools. In order to assess the importance of the pair interactions, we additionally compared the NN model with a simpler method (Ind) that disregards interactions. It was observed that the NN method yielded similar Codon Adaptation Index (CAI) values to those obtained by other commercial algorithms, despite the fact that CAI was not explicitly considered in the algorithm. By utilising both the NN and Ind methods to optimise the reporter protein luciferase, and then analysing the translation performance in human cell lines and in a mouse model, we found that the NN approach yielded the highest protein expression in vivo. Consequently, we propose that the NN model may prove advantageous in biotechnological applications, such as heterologous protein expression or mRNA-based therapies.

Mutation Analysis of Exon 1 in the Hemoglobin Subunit Beta (HBB) Gene in Beta-Thalassemia.

Introduction Thalassemia is a widely prevalent monogenic hematological disorder found worldwide. It exists in two forms: alpha- and beta-thalassemia. Alterations in the hemoglobin subunit beta (HBB) gene cause beta-thalassemia, with missense and point mutations affecting beta-globin synthesis. Consequently, genetic screening for beta-thalassemia is essential for genetic counseling, carrier screening, and prenatal diagnosis. Aim and objective This study aims to examine and identify mutations in the exon 1 region of the HBB gene in beta-thalassemia patients from the Vijayapura region. Methods This study involved 47 clinically diagnosed children with beta-thalassemia from a hospital in Vijayapura, India. Detailed clinical histories of all patients were recorded. Genomic DNA was extracted from the blood samples of these patients and subjected to polymerase chain reaction (PCR) using exon-specific primers for the HBB gene. The PCR products were then sequenced using the capillary-based Sanger sequencing method to identify mutations in the HBB gene. Results A total of 47 clinically diagnosed beta-thalassemia patients were included in the study, comprising 30 males and 17 females, aged between one and 20 years. Sequencing analysis of exon 1 in the beta-globin gene identified 17 beta-thalassemia variants. The most common mutation observed was T>G, G>C, C>A, and C>T in the exon 1 region of the HBB gene. Conclusion This study identifies the pattern of beta-thalassemia mutations, aiding in the prevention of the disorder through prenatal diagnosis and genetic counseling. Mutations can alter codon sequences, affecting protein production. Research highlights the importance of a primary prevention program to analyze mutations and sequence variations at the molecular level, thereby helping to address numerous genetic disorders.

Avirulent UG10 Entamoeba histolytica mutant derived from HM-1:IMSS strain shows limited genome variability and aberrant 5-methyl cytosine genomic distribution

Entamoeba histolytica, an intestinal parasite of global significance, poses substantial health risks with its associated high morbidity and mortality rates. Despite the current repertoire of molecular tools for the study of gene function in, the regulatory mechanisms governing its pathogenicity remain largely unexplored. This knowledge gap underscores the need to elucidate key genetic determinants orchestrating cellular functions critical to its virulence. Previously, our group generated an avirulent strain, termed UG10, with the same genetic background as the HM1:IMSS strain. UG10 strain, despite showing normal expression levels of well-known virulence factors, was unable to perform in-vitro and in-vivo activities related to amoebic virulence. In this study, we aimed to uncover the genome-wide modifications that rendered the avirulent phenotype of the UG10 strain through whole-genome sequencing. As a complementary approach, we conducted Methylated DNA Immunoprecipitation coupled with sequencing (MeDIP-seq) analysis on both the highly virulent HM1:IMSS strain and the low-virulence UG10 strain to uncover the genome-wide methylation profile. These dual methodologies revealed two aspects of the UG10 avirulent strain. One is the random integration of fragments from the ribosomal gene cluster and tRNA genes, ranging from 120 to 400 bp; and secondly, a clear, enriched methylation profile in the coding and non-coding strand relative to the start codon sequence in genes encoding small GTPases, which is associated with the previously described avirulent phenotype. This study provides the foundation to explore other genetic and epigenetic regulatory circuitries in E. histolytica and novel targets to understand the pathogenic mechanism of this parasite.

The Complete Mitogenomes of Two Species of Snakehead Fish (Perciformes: Channidae): Genome Characterization and Phylogenetic Analysis

Channidae (snakehead fish) is a family of medium-to-large freshwater carnivorous fish and contain the genus, Channa. Here, the complete mitogenomes of two Channa fish were determined and comparatively analyzed with the mitogenomes of 16 other Channidae fish species. The two newly sequenced complete mitogenomes were circular DNA molecules with sizes of 16,953 bp (Channa burmanica; OP954106) and 16,897 bp (Channa aurantimaculata; OQ134162). The mitogenomes were composed of 37 genes and one D-loop region. Positive AT skews and negative GC skews were found in the mitogenomes. Most protein-coding genes (PCGs) started with the conventional start codon, ATG; however, the sequence of the stop codon was variable. There was no obvious difference in relative synonymous codon usage among the two mitogenomes, and the two species shared a similar number of codon usage of mitogenomic PCGs, which was also similar to the mean values for the other 15 species of Channa. All Ka/Ks values were &lt;1; cox1 had the lowest value, and atp8 had the highest. All of the tRNAs were typical clover structures, except trnS1. Phylogenetic analysis showed that C. burmanica and C. aurantimaculata shared a close relationship and that they were also closely related to C. gachua. These findings enrich the gene database of Channidae species, clarify the mitochondrial genome structure of the two species, and provide basic data for invasive biological surveillance in the future.

Algebraic and toroidal representation of the genetic code

The genetic code is a set of regulatory principles that control the translation of information encoded in messenger RNA (mRNA) into a sequence of amino acids. This study proposes a model starting from the relationships between its physicochemical properties of nucleobase in the codons. We employed a binary metric and the Kronecker product to represent the physicochemical properties of nucleobases in a vector space. This state space has a hierarchical order, with self-similarity and symmetry properties in the hydrogen bonds of triplets. The state space can be mapped under linear transformations to a toroidal geometry with allometric properties. Furthermore, this geometric representation highlights a charge symmetry that exists in amino acids and in the distribution of essential and non-essential amino acids. These results describe a state space between codon-anticodon interactions that can be interpreted as Bell states. This suggests that there is a quantum phenomenon involved in the mechanisms of information storage in DNA. In addition, toroidal geometry can be used to represent the sequences of codons of the mRNA that encode the sequence of amino acids of the proteins to find similarities or homologies between evolutionary related species.

CodonBERT: a BERT-based architecture tailored for codon optimization using the cross-attention mechanism.

Due to the varying delivery methods of mRNA vaccines, codon optimization plays a critical role in vaccine design to improve the stability and expression of proteins in specific tissues. Considering the many-to-one relationship between synonymous codons and amino acids, the number of mRNA sequences encoding the same amino acid sequence could be enormous. Finding stable and highly expressed mRNA sequences from the vast sequence space using in silico methods can generally be viewed as a path-search problem or a machine translation problem. However, current deep learning-based methods inspired by machine translation may have some limitations, such as recurrent neural networks, which have a weak ability to capture the long-term dependencies of codon preferences. We develop a BERT-based architecture that uses the cross-attention mechanism for codon optimization. In CodonBERT, the codon sequence is randomly masked with each codon serving as a key and a value. In the meantime, the amino acid sequence is used as the query. CodonBERT was trained on high-expression transcripts from Human Protein Atlas mixed with different proportions of high codon adaptation index codon sequences. The result showed that CodonBERT can effectively capture the long-term dependencies between codons and amino acids, suggesting that it can be used as a customized training framework for specific optimization targets. CodonBERT is freely available on https://github.com/FPPGroup/CodonBERT.

Advancing molecular modeling and reverse vaccinology in broad-spectrum yellow fever virus vaccine development

Yellow fever outbreaks are prevalent, particularly in endemic regions. Given the lack of an established treatment for this disease, significant attention has been directed toward managing this arbovirus. In response, we developed a multiepitope vaccine designed to elicit an immune response, utilizing advanced immunoinformatic and molecular modeling techniques. To achieve this, we predicted B- and T-cell epitopes using the sequences from all structural (E, prM, and C) and nonstructural proteins of 196 YFV strains. Through comprehensive analysis, we identified 10 cytotoxic T-lymphocyte (CTL) and 5T-helper (Th) epitopes that exhibited overlap with B-lymphocyte epitopes. These epitopes were further evaluated for their affinity to a wide range of human leukocyte antigen system alleles and were rigorously tested for antigenicity, immunogenicity, allergenicity, toxicity, and conservation. These epitopes were linked to an adjuvant (β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta$$\\end{document}-defensin) and to each other using ligands, resulting in a vaccine sequence with appropriate physicochemical properties. The 3D structure of this sequence was created, improved, and quality checked; then it was anchored to the Toll-like receptor. Molecular Dynamics and Quantum Mechanics/Molecular Mechanics simulations were employed to enhance the accuracy of docking calculations, with the QM portion of the simulations carried out utilizing the density functional theory formalism. Moreover, the inoculation model was able to provide an optimal codon sequence that was inserted into the pET-28a( +) vector for in silico cloning and could even stimulate highly relevant humoral and cellular immunological responses. Overall, these results suggest that the designed multi-epitope vaccine can serve as prophylaxis against the yellow fever virus.

De novo assembly of the complete mitochondrial genome of pepino (Solanum muricatum) using PacBio HiFi sequencing: insights into structure, phylogenetic implications, and RNA editing

BackgroundSolanum muricatum is an emerging horticultural fruit crop with rich nutritional and antioxidant properties. Although the chromosome-scale genome of this species has been sequenced, its mitochondrial genome sequence has not been reported to date.ResultsPacBio HiFi sequencing was used to assemble the circular mitogenome of S. muricatum, which was 433,466 bp in length. In total, 38 protein-coding, 19 tRNA, and 3 rRNA genes were annotated. The reticulate mitochondrial conformations with multiple junctions were verified by polymerase chain reaction, and codon usage, sequence repeats, and gene migration from chloroplast to mitochondrial genome were determined. A collinearity analysis of eight Solanum mitogenomes revealed high structural variability. Overall, 585 RNA editing sites in protein coding genes were identified based on RNA-seq data. Among them, mttB was the most frequently edited (52 times), followed by ccmB (46 times). A phylogenetic analysis based on the S. muricatum mitogenome and those of 39 other taxa (including 25 Solanaceae species) revealed the evolutionary and taxonomic status of S. muricatum.ConclusionsWe provide the first report of the assembled and annotated S. muricatum mitogenome. This information will help to lay the groundwork for future research on the evolutionary biology of Solanaceae species. Furthermore, the results will assist the development of molecular breeding strategies for S. muricatum based on the most beneficial agronomic traits of this species.

Development of methods to analyse Plasmodium falciparum single nucleotide polymorphisms in PfCRT (А &gt; C), PfMDR1 (A &gt; T) and PfDHFR (G &gt; A) genes that determine resistance to quinoline, diamino-pyrimidine and sulfonamide groups of antimalarial drugs

BACKGROUND: The drug resistance of tropical malaria pathogens to mefloquine, chloroquine, pyrimethamine and their derivatives is associated with three single nucleotide polymorphisms: K76T (A403627C), S1034C (A960989T) and S108N (G748410A). These mutations are linked to changes in the structure of the PfCRT and PfMDR1 genes of Plasmodium falciparum.&#x0D; AIM: Develop methods for identifying single nucleotide polymorphisms that are suitable for early diagnosis of drug-resistant forms of tropical malaria.&#x0D; RESULTS: A method was developed based on restriction fragment length analysis using ApoI endonuclease to detect the K76T polymorphism (A403627C). The criterion for determining parasite resistance to chloroquine was the appearance of a single 145 bp band on the electropherogram. The genotype of the pathogens remained unchanged and their drug sensitivity was preserved, as indicated by the separation of two fragments of 98 and 47 bp.&#x0D; A system for detecting S108N (G748410A) was developed using the Bse1I endonuclease. The appearance of a single 507 bp band on the electropherogram indicated the mutant genotype of the pathogens, while the appearance of two fragments (323 and 184 bp) indicated an unchanged genotype and preservation of drug sensitivity of plasmodiae.&#x0D; To identify the A T polymorphism in the PfMDR1 gene at position 960989, polymerase chain reaction technology will be used with two allele-specific primers. One primer will detect the wild-type allele, and the other will detect the mutant genotype. The amplifiable fragment of the PfMDR1 gene contains sequences of the 1034th codon. Depending on the P. falciparum genotype, 261 bp fragments will be obtained with one of the allele-specific primers.&#x0D; CONCLUSION: Criteria for assessing drug resistance of P. falciparum were developed based on the analysis of obtained data. Haplotypes K76T (band 145 bp) and S1034C (band 262 bp with the direct primer S1034C-F2) serve as indicators of the relative resistance of pathogens to chloroquine, mefloquine, and their derivatives. Positive results of examination for haplotype S108N (bands 323 and 184 bp) should be considered as a sign of decreased sensitivity to pyrimethamine. The developed methods can be used in clinical practice and for epidemiological monitoring.

ACE mRNA (Additional Chimeric Element incorporated IVT mRNA) for Enhancing Protein Expression by Modulating Immunogenicity.

The development of in vitro transcribed mRNA (IVT mRNA)-based therapeutics/vaccines depends on the management of IVT mRNA immunogenicity. IVT mRNA, which is used for intracellular protein translation, often triggers unwanted immune responses, interfering with protein expression and leading to reduced therapeutic efficacy. Currently, the predominant approach for mitigating immune responses involves the incorporation of costly chemically modified nucleotides like pseudouridine (Ψ) or N1-methylpseudouridine (m1Ψ) into IVT mRNA, raising concerns about expense and the potential misincorporation of amino acids into chemically modified codon sequences. Here, an Additional Chimeric Element incorporated mRNA (ACE mRNA), a novel approach incorporating two segments within a single IVT mRNA structure, is introduced. The first segment retains conventional IVT mRNA components prepared with unmodified nucleotides, while the second, comprised of RNA/DNA chimeric elements, aims to modulate immunogenicity. Notably, ACE mRNA demonstrates a noteworthy reduction in immunogenicity of unmodified IVT mRNA, concurrently demonstrating enhanced protein expression efficiency. The reduced immune responses are based on the ability of RNA/DNA chimeric elements to restrict retinoic acid-inducible gene I (RIG-I)and stimulator of interferon genes (STING)-mediated immune activation. The developed ACE mRNA shows great potential in modulating the immunogenicity of IVT mRNA without the need for chemically modified nucleotides, thereby advancing the safety and efficacy of mRNA-based therapeutics/vaccines.

The first two whole mitochondrial genomes for the genus Dactylis species: assembly and comparative genomics analysis

BackgroundOrchardgrass (Dactylis glomerata L.), a perennial forage, has the advantages of rich leaves, high yield, and good quality and is one of the most significant forage for grassland animal husbandry and ecological management in southwest China. Mitochondrial (mt) genome is one of the major genetic systems in plants. Studying the mt genome of the genus Dactylis could provide more genetic information in addition to the nuclear genome project of the genus.ResultsIn this study, we sequenced and assembled two mitochondrial genomes of Dactylis species of D. glomerata (597, 281 bp) and D. aschersoniana (613, 769 bp), based on a combination of PacBio and Illumina. The gene content in the mitochondrial genome of D. aschersoniana is almost identical to the mitochondrial genome of D. glomerata, which contains 22–23 protein-coding genes (PCGs), 8 ribosomal RNAs (rRNAs) and 30 transfer RNAs (tRNAs), while D. glomerata lacks the gene encoding the Ribosomal protein (rps1) and D. aschersoniana contains one pseudo gene (atp8). Twenty-three introns were found among eight of the 30 protein-coding genes, and introns of three genes (nad 1, nad2, and nad5) were trans-spliced in Dactylis aschersoniana. Further, our mitochondrial genome characteristics investigation of the genus Dactylis included codon usage, sequences repeats, RNA editing and selective pressure. The results showed that a large number of short repetitive sequences existed in the mitochondrial genome of D. aschersoniana, the size variation of two mitochondrial genomes is due largely to the presence of a large number of short repetitive sequences. We also identified 52–53 large fragments that were transferred from the chloroplast genome to the mitochondrial genome, and found that the similarity was more than 70%. ML and BI methods used in phylogenetic analysis revealed that the evolutionary status of the genus Dactylis.ConclusionsThus, this study reveals the significant rearrangements in the mt genomes of Pooideae species. The sequenced Dactylis mt genome can provide more genetic information and improve our evolutionary understanding of the mt genomes of gramineous plants.

SMART-lipid nanoparticles enabled mRNA vaccine elicits cross-reactive humoral responses against the omicron sub-variants

The continual emergence of SARS-CoV-2 variants has necessitated the development of broad cross-reactive vaccines. Recent findings suggest that enhanced antigen presentation could lead to cross-reactive humoral responses against the emerging variants. Towards enhancing the antigen presentation to dendritic cells (DCs), we developed a novel shikimoylated mannose receptor targeting lipid nanoparticle system (SMART-LNPs) that could effectively deliver mRNAs into DCs. To improve the translation of mRNA, we developed spike domain-based trimeric-S1 (TS1) mRNA with optimized codon sequence, base modification, and engineered 5’&3’ UTRs. In a mouse model, SMART-LNPs-TS1 vaccine could elicit robust broad cross-reactive IgGs against Omicron sub-variants, and induced IFNγ producing T-cells against SARS-CoV-2 virus compared to non-targeted LNPs-TS1 vaccine. Further, T-cells analysis revealed that SMART-LNPs-TS1 vaccine induced long-lived memory T-cell subsets, Th1-dominant and cytotoxic T-cells immune responses against SARS-CoV-2 virus. Importantly, SMART-LNPs-TS1 vaccine produced strong Th1-predominant humoral and cellular immune responses. Overall, SMART-LNPs can be explored for precise antigenic mRNA delivery and robust immune responses. This platform technology can be explored further as a next-gen delivery system for mRNA-based immune therapies.

Abstract B109: Reinforcing risk prediction for intraductal papillary mucinous neoplasms of the pancreas with AI-optimized nucleotide-to-amino acid analyses

Abstract Intraductal papillary mucinous neoplasms (IPMNs) often precede invasive pancreatic ductal adenocarcinoma, with each IPMN tumor carrying a 10-25% risk of progressing to cancer within 10 years of detection. The objective of this work is to employ AI-augmented analyses of single mutations occurring at specific tri-nucleotide sequences or codons and identify markers associated with the progression of cysts to pancreatic cancer. Despite being precursors of pancreatic cancer there is a lack of validated intervention targets for precision prevention for IPMNs. Currently cancer prevention for patients with IPMN is centered on surgery using a risk-tailored approach; the clinical ability to stratify risk of cancer progression of individual IPMN tumors is poor and essentially no effective non-surgical interventions exist. To advance the precision cancer prevention for IPMNs we develop an intelligent, machine learning (ML) derived framework addressing the challenge of IPMN stratification from samples with limited data space, e.g., somatic mutations. Our study incorporates the text-based statistical and ML analyses of the mutational profiles of patients’ genomes followed by an integration of codon sequence derived mutational features for biomarkers validation. Given the potential of genome spatial organization to understand mutagenesis and genomic instability, we also map the DNA sequence information onto the local spatial genome organization to elucidate intrinsic features and molecular mechanisms that potentially lead to mutations. Results of this study show that information extracted from mutational profiles with the proposed methods significantly improves performance of the ML models in stratification of IPMNs and biomarker identification. We also present how utilization of these ML tools for mutational data, spatial genome organization, and functional analyses from tumor samples, can aid understanding of the underlying mechanisms of mutations in IPMNs and pancreatic cancer. Citation Format: Nam Nguyen, Jamie K. Teer, Margaret A. Park, Patricia McDonald, Jason B. Fleming, Jennifer B. Permuth, Kwang-Cheng Chen, Aleksandra Karolak. Reinforcing risk prediction for intraductal papillary mucinous neoplasms of the pancreas with AI-optimized nucleotide-to-amino acid analyses [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B109.

Assembly and comparative analysis of the complete mitochondrial genome of Pinellia ternata.

Pinellia ternata is an important natural medicinal herb in China. However, it is susceptible to withering when exposed to high temperatures during growth, which limits its tuber production. Mitochondria usually function in stress response. The P . ternata mitochondrial (mt) genome has yet to be explored. Therefore, we integrated PacBio and Illumina sequencing reads to assemble and annotate the mt genome of P . ternata . The circular mt genome of P . ternata is 876 608bp in length and contains 38 protein-coding genes (PCGs), 20 tRNA genes and three rRNA genes. Codon usage, sequence repeats, RNA editing and gene migration from chloroplast (cp) to mt were also examined. Phylogenetic analysis based on the mt genomes of P . ternata and 36 other taxa revealed the taxonomic and evolutionary status of P . ternata . Furthermore, we investigated the mt genome size and GC content by comparing P . ternata with the other 35 species. An evaluation of non-synonymous substitutions and synonymous substitutions indicated that most PCGs in the mt genome underwent negative selection. Our results provide comprehensive information on the P . ternata mt genome, which may facilitate future research on the high-temperature response of P . ternata and provide new molecular insights on the Araceae family.

Single-cell transcriptome sequencing of plant leaf expressing anti-HER2 VHH–FcK cancer therapeutic protein

The transgenic plant is a promising strategy for the production of highly valuable biotherapeutic proteins such as recombinant vaccines and antibodies. To achieve an efficient level of protein production, codon sequences and expression cassette elements need to be optimized. However, the systematical expression of recombinant proteins in plant biomass can generally be controlled for the production of therapeutic proteins after the generation of transgenic plants. Without understanding the transgene expression patterns in plant tissue, it is difficult to enhance further production levels. In this study, single-cell RNA-sequencing (scRNA-seq) analysis of transgenic tobacco (Nicotiana tabacum) leaf, expressing an immunotherapeutic llama antibody against breast cancer, anti-HER2 VHH–Fc, was conducted to obtain data on the expression pattern of tissue-specific cells. These high-quality scRNA-seq data enabled the identification of gene expression patterns by cell types, which can be applied to select the best cell types or tissues for the high production of these recombinant antibodies. These data provide a foundation to elucidate the mechanisms that regulate the biosynthesis of recombinant proteins in N. tabacum.

Assembly and comparative analysis of the complete mitochondrial genome of Poa pratensis

AbstractPoa pratensis is a widely cultivated turf grass with strong cold and drought resistance. While the chloroplast genome of P. pratensis has been sequenced, its mitochondrial genome remains unexplored. This study assembled the mitochondrial genome of P. pratensis, revealing a total length of 447,463 bp and a guanine‐cytosine content of 44.41%. Its main structure comprises a single circular molecule. Annotation results revealed the presence of 56 genes, including 34 unique protein‐coding genes, 19 tRNA genes, and three rRNA genes. Additionally, we investigated codon usage bias, repeats, sequence migration, and RNA editing events in the genome. Furthermore, we constructed a phylogenetic tree based on the mitochondrial genomes of P. pratensis and 20 related plants. Notably, synteny analysis results demonstrated that the mitochondrial genome of P. pratensis exhibited greater variation and more significant rearrangement than those of its close relatives. This study reports the complete mitochondrial genome of P. pratensis for the first time, providing a solid foundation for further research into the genetics of bluegrass.

Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis

BackgroundBrucellosis caused by B. melitensis is one of the most important common diseases between humans and livestock. Currently, live attenuated vaccines are used for this disease, which causes many problems, and unfortunately, there is no effective vaccine for human brucellosis. The aim of our research was to design a recombinant vaccine containing potential immunogenic epitopes against B. melitensis. MethodsIn this study, using immunoinformatics approaches, 3 antigens Omp31, Omp25, and Omp28 were identified and the amino acid sequence of the selected antigens was determined in NCBI. Signal peptides were predicted by SignaIP-5.0 server. To predict B-cell epitopes from ABCpred and Bcepred servers, to predict MHC-I epitopes from RANKPEP and SYFPEITHI servers, to predict MHC-II epitopes from RANKPEP and MHCPred servers, and to predict CTL epitopes were used from the CTLPred server. Potentially immunogenic final epitopes were joined by flexible linkers. Finally, allergenicity (AllerTOP 2.0 server), antigenicity (Vaxijen server), physicochemical properties (ProtParam server), solubility (Protein-sol server), secondary (PSIPRED and GRO4 servers) and tertiary structure (I-TASSER server), refinement (GalaxyWEB server), validation (ProSA-web, Molprobity, and ERRAT servers), and optimization of the codon sequence (JCat server) of the structure of the multi-epitope vaccine were analyzed. ResultsThe analysis of immunoinformatics tools showed that the designed vaccine has high quality, acceptable physicochemical properties, and can induce humoral and cellular immune responses against B. melitensis bacteria. In addition, the high expression level of recombinant antigens in the E. coli host was observed through in silico simulation. ConclusionAccording to the results in silico, the designed vaccine can be a suitable candidate to fight brucellosis and in vitro and in vivo studies are needed to evaluate the research of this study.

Roles of the CCR4-Not complex in translation and dynamics of co-translation events.

The Ccr4-Not complex is a global regulator of mRNA metabolism in eukaryotic cells that is most well-known to repress gene expression. Delivery of the complex to mRNAs through a multitude of distinct mechanisms accelerates their decay, yet Ccr4-Not also plays an important role in co-translational processes, such as co-translational association of proteins and delivery of translating mRNAs to organelles. The recent structure of Not5 interacting with the translated ribosome has brought to light that embedded information within the codon sequence can be monitored by recruitment of the Ccr4-Not complex to elongating ribosomes. Thereby, the Ccr4-Not complex is empowered with regulatory decisions determining the fate of proteins being synthesized and their encoding mRNAs. This review will focus on the roles of the complex in translation and dynamics of co-translation events. This article is categorized under: Translation > Mechanisms Translation > Regulation.