Characteristics and phylogenetic analysis of the complete chloroplast genome of Cornus hongkongensis Hemsl. 1888 (Cornaceae).

Cornus hongkongensis Hemsl. 1888, native to Hong Kong, belongs to the subgenus Syncarpea within the Cornus genus of the Cornaceae family. The complete chloroplast genome of C. hongkongensis spans 156,954 bp, comprising four subregions: a large single-copy region (86,290 bp), a small single-copy region (18,394 bp), and a pair of inverted repeats (26,135 bp). Within the chloroplast genome of C. hongkongensis, we identified 113 unique genes, including 80 protein-encoding genes, four ribosomal RNA (rRNA) genes, and 30 transfer RNA (tRNA) genes. Phylogenetic analysis based on the complete chloroplast genome of 30 related taxa of the Cornus genus indicates that C. hongkongensis has not formed a monophyletic lineage. Analyses of sequence divergence found three intergenic regions including rps19-rpl22, ccsA-ndhD, and atpH-atpI, exhibiting a high degree of variations. The first chloroplast genome of C. hongkongensis was reported in this work contributes to the enrichment of genomic data for the genus Cornus.

Comprehensive analysis of the mitochondrial genome of Rehmannia glutinosa: insights into repeat-mediated recombinations and RNA editing-induced stop codon acquisition.

Rehmannia glutinosa is an economically significant medicinal plant. Yet, the structure and sequence of its mitochondrial genome has not been published, which plays a crucial role in evolutionary analysis and regulating respiratory-related macromolecule synthesis. In this study, the R. glutinosa mitogenome was sequenced employing a combination of Illumina short reads and Nanopore long reads, with subsequent assembly using a hybrid strategy. We found that the predominant configuration of the R. glutinosa mitogenome comprises two circular chromosomes. The primary structure of the mitogenome encompasses two mitochondrial chromosomes corresponding to the two major configurations, Mac1-1 and Mac1-2. The R. glutinosa mitogenome encoded an angiosperm-typical set of 24 core genes, nine variable genes, three rRNA genes, and 15 tRNA genes. A phylogenetic analysis using the 16 shared protein-coding genes (PCG) yielded a tree consistent with the phylogeny of Lamiales species and two outgroup taxa. Mapping RNA-seq data to the coding sequences (CDS) of the PCGs revealed 507 C-to-U RNA editing sites across 31 PCGs of the R. glutinosa mitogenome. Furthermore, one start codon (nad4L) and two stop codons (rpl10 and atp6) were identified as products of RNA editing events in the R. glutinosa mitogenome.

Prediction model of early recurrence of multimodal hepatocellular carcinoma with tensor fusion.

Objective.In oncology, clinical decision-making relies on a multitude of data modalities, including histopathological, radiological, and clinical factors. Despite the emergence of computer-aided multimodal decision-making systems for predicting hepatocellular carcinoma (HCC) recurrence post-hepatectomy, existing models often employ simplistic feature-level concatenation, leading to redundancy and suboptimal performance. Moreover, these models frequently lack effective integration with clinically relevant data and encounter challenges in integrating diverse scales and dimensions, as well as incorporating the liver background, which holds clinical significance but has been previously overlooked.Approach.To address these limitations, we propose two approaches. Firstly, we introduce the tensor fusion method to our model, which offers distinct advantages in handling multi-scale and multi-dimensional data fusion, potentially enhancing overall performance. Secondly, we pioneer the consideration of the liver background's impact, integrating it into the feature extraction process using a deep learning segmentation-based algorithm. This innovative inclusion aligns the model more closely with real-world clinical scenarios, as the liver background may contain crucial information related to postoperative recurrence.Main results.We collected radiomics (MRI) and histopathological images from 176 cases diagnosed by experienced clinicians across two independent centers. Our proposed network underwent training and 5-fold cross-validation on this dataset before validation on an external test dataset comprising 40 cases. Ultimately, our model demonstrated outstanding performance in predicting early recurrence of HCC postoperatively, achieving an AUC of 0.883.Significance.These findings signify significant progress in addressing challenges related to multimodal data fusion and hold promise for more accurate clinical outcome predictions. In this study, we exploited global 3D liver background into modelling which is crucial to to the prognosis assessment and analyzed the whole liver background in addition to the tumor region. Both MRI images and histopathological images of HCC were fused at high-dimensional feature space using tensor techniques to solve cross-scale data integration issue.

Comparative chloroplast genomes study of five officinal Ardisia Species: Unraveling interspecific diversity and evolutionary insights in Ardisia.

Ardisia S.W. (Primulaceae), naturally distributed in tropical and subtropical regions, has edible and medicinal values and is prevalent in clinical and daily use in China. More genetic information for distinct species delineation is needed to support the development and utilization of the genus Ardisia. We sequenced, annotated, and compared the chloroplast genomes of five Ardisia species: A. brunnescens, A. pusilla, A. squamulosa, A. crenata, and A. brevicaulis in this study. We found a typical quadripartite structure in all five chloroplast genomes, with lengths ranging from 155,045 to 156,943 bp. Except for A. pusilla, which lacked the ycf15 gene, the other four Ardisia species contained 114 unique genes, including 79 protein-coding genes, 30 tRNAs, and four rRNAs. In addition, the rps19 pseudogene gene was present only in A. brunnescens. Five highly variable DNA barcodes were identified for five Ardisia species, including trnT-GGU-psbD, trnT-UGU-trnL-UAA, rps4-trnT-UGU, rpl32-trnL-UAG, and rpoB-trnC-GAA. The RNA editiing sites of protein-coding genes in the five Ardisia plastome were characterized and compared, and 274 (A. crenata)-288 (A. brevicaulis) were found. The results of the phylogenetic analysis were consistent with the morphological classification. Sequence alignment and phylogenetic analysis showed that ycf15 genes were highly divergent in Primulaceae. Reconstructions of ancestral character states indicated that leaf margin morphology is critical for classifying the genus Ardisia, with a rodent-like character being the most primitive. These results provide valuable information on the taxonomy and evolution of Ardisia plants.

Plant mitochondrial genome map (PMGmap): A software tool for the comprehensive visualization of coding, noncoding and genome features of plant mitochondrial genomes.

Tools for visualizing genomes are essential for investigating genomic features and their interactions. Currently, tools designed originally for animal mitogenomes and plant plastomes are used to visualize the mitogens of plants but cannot accurately display features specific to plant mitogenomes, such as nonlinear exon arrangement for genes, the prevalence of functional noncoding features and complex chromosomal architecture. To address these problems, a software package, plant mitochondrial genome map (PMGmap), was developed using the Python programming language. PMGmap can draw genes at exon levels; draw cis- and trans-splicing gene maps, noncoding features and repetitive sequences; and scale genic regions by using the scaling of the genic regions on the mitogenome (SAGM) algorithm. It can also draw multiple chromosomes simultaneously. Compared with other state-of-the-art tools, PMGmap showed better performance in visualizing 405 plant mitogenomes, showing potential as an invaluable tool for plant mitogenome research. The web and container versions and the source code of PMGmap can be accessed through the following link: http://www.1kmpg.cn/pmgmap.

[Preliminary Study on the Relationship between the Developmental Stage of Multiple Myeloma Disease and the Results of Bone Marrow Whole Exome Sequencing].

OBJECTIVE: To investigate the genetic results of whole exome sequencing of bone marrow from new onset multiple myeloma (MM) patients to analyze the process of genetic clonal evolution in MM patients. METHODS: Genomic DNA was extracted from bone marrow samples of 15 MM patients and the whole exomes sequencing was performed using next generation sequencing technology. Using own buccal cells as germline controls, combinated with clinical information, the mutation profile of genes from high-risk asymptomatic myeloma to symptomatic myeloma were analyzed, and genes that may be associated with the efficacy and side effects of bortezomib were screened. RESULTS: Except for two patients in whom no peripheral neuropathy was observed after a short treatment period, other patients peripheral neuropathy developed of various degrees during treatment with bortezomib containing chemotherapy, and the vast majority of patients achieved remission after receiving this bortezomib-related chemotherapy regimen. All patients had comparable levels of the inherited mutations number, but the somatic mutations was correlated with disease evolution. CONCLUSION: different gene "mutational spectra" exist in myeloma patients at different stages and are associated with progression through all stages of the disease.

Multiple configurations of the plastid and mitochondrial genomes of Caragana spinosa.

MAIN CONCLUSION: In this study, we assembled the complete plastome and mitogenome of Caragana spinosa and explored the multiple configurations of the organelle genomes. Caragana spinosa belongs to the Papilionoidea subfamily and has significant pharmaceutical value. To explore the possible interaction between the organelle genomes, we assembled and analyzed the plastome and mitogenome of C. spinosa using the Illumina and Nanopore DNA sequencing data. The plastome of C. spinosa was 129,995 bp belonging to the inverted repeat lacking clade (IRLC), which contained 77 protein-coding genes, 29 tRNA genes, and four rRNA genes. The mitogenome was 378,373 bp long and encoded 54 unique genes, including 33 protein-coding, three ribosomal RNA (rRNA), and 18 transfer RNA (tRNA) genes. In addition to the single circular conformation, alternative conformations mediated by one and four repetitive sequences in the plastome and mitogenome were identified and validated, respectively. The inverted repeat (PDR12, the 12th dispersed repeat sequence in C. spinosa plastome) of plastome mediating recombinant was conserved in the genus Caragana. Furthermore, we identified 14 homologous fragments by comparing the sequences of mitogenome and plastome, including eight complete tRNA genes. A phylogenetic analysis of protein-coding genes extracted from the plastid and mitochondrial genomes revealed congruent topologies. Analyses of sequence divergence found one intergenic region, trnN-GUU-ycf1, exhibiting a high degree of variation, which can be used to develop novel molecular markers to distinguish the nine Caragana species accurately. This plastome and mitogenome of C. spinosa could provide critical information for the molecular breeding of C. spinosa and be used as a reference genome for other species of Caragana. In this study, we assembled the complete plastome and mitogenome of Caragana spinosa and explored the multiple configurations of the organelle genomes.

Characterizing the chloroplast genome of Mammillaria elongata DC. 1828 in the Cactaceae family and unveiling its phylogenetic affinities within the genus Mammillaria.

With its nearly 200 species, the Mammillaria genus is the most species-rich within the Cactaceae family, yet surprisingly, few of its chloroplast genomes have been studied. We focused on the species Mammillaria elongata DC. 1828, a petite cactus native to Mexico and favored by horticulturists, yet whose phylogenetic relationships remain uncertain due to a lack of genomic data. We extracted the DNA from a sample obtained in China, sequenced it using the NovaSeq 6000 platform, and assembled the chloroplast genome using GetOrganelle software. Our assembly resulted in a chloroplast genome of 110,981 base pairs with an overall GC content of 36.28%, which included 100 genes (95 unique). Notably, several protein-coding genes were absent. Phylogenetic analysis using 59 shared genes across nine Mammillaria species and one Obregonia species revealed that M. elongata and M. gracilis are closely related, suggesting a recent common ancestor and possible shared evolutionary pressures or ecological niches. This study provides crucial genomic data for M. elongata and hints at intriguing phylogenetic relationships within the Mammillaria genus.

Genetic diversity of Coffea arabica L. mitochondrial genomes caused by repeat- mediated recombination and RNA editing.

Background: Coffea arabica L. is one of the most important crops widely cultivated in 70 countries across Asia, Africa, and Latin America. Mitochondria are essential organelles that play critical roles in cellular respiration, metabolism, and differentiation. C. arabica's nuclear and chloroplast genomes have been reported. However, its mitochondrial genome remained unreported. Here, we intended to sequence and characterize its mitochondrial genome to maximize the potential of its genomes for evolutionary studies, molecular breeding, and molecular marker developments. Results: We sequenced the total DNA of C. arabica using Illumina and Nanopore platforms. We then assembled the mitochondrial genome with a hybrid strategy using Unicycler software. We found that the mitochondrial genome comprised two circular chromosomes with lengths of 867,678 bp and 153,529 bp, encoding 40 protein-coding genes, 26 tRNA genes, and three rRNA genes. We also detected 270 Simple Sequence Repeats and 34 tandem repeats in the mitochondrial genome. We found 515 high-scoring sequence pairs (HSPs) for a self-to-self similarity comparison using BLASTn. Three HSPs were found to mediate recombination by the mapping of long reads. Furthermore, we predicted 472 using deep-mt with the convolutional neural network model. Then we randomly validated 90 RNA editing events by PCR amplification and Sanger sequencing, with the majority being non-synonymous substitutions and only three being synonymous substitutions. These findings provide valuable insights into the genetic characteristics of the C. arabica mitochondrial genome, which can be helpful for future study on coffee breeding and mitochondrial genome evolution. Conclusion: Our study sheds new light on the evolution of C. arabica organelle genomes and their potential use in genetic breeding, providing valuable data for developing molecular markers that can improve crop productivity and quality. Furthermore, the discovery of RNA editing events in the mitochondrial genome of C. arabica offers insights into the regulation of gene expression in this species, contributing to a better understanding of coffee genetics and evolution.

Iron drives anabolic metabolism through active histone demethylation and mTORC1.

All eukaryotic cells require a minimal iron threshold to sustain anabolic metabolism. However, the mechanisms by which cells sense iron to regulate anabolic processes are unclear. Here we report a previously undescribed eukaryotic pathway for iron sensing in which molecular iron is required to sustain active histone demethylation and maintain the expression of critical components of the pro-anabolic mTORC1 pathway. Specifically, we identify the iron-binding histone-demethylase KDM3B as an intrinsic iron sensor that regulates mTORC1 activity by demethylating H3K9me2 at enhancers of a high-affinity leucine transporter, LAT3, and RPTOR. By directly suppressing leucine availability and RAPTOR levels, iron deficiency supersedes other nutrient inputs into mTORC1. This process occurs in vivo and is not an indirect effect by canonical iron-utilizing pathways. Because ancestral eukaryotes share homologues of KDMs and mTORC1 core components, this pathway probably pre-dated the emergence of the other kingdom-specific nutrient sensors for mTORC1.

The mitochondrial genomes of Panax notoginseng reveal recombination mediated by repeats associated with DNA replication.

Panax notoginseng is one of the most valuable medicinal species. However, its mitochondrial genome has not been reported yet. We aimed to determine the mitogenome sequence of P. notoginseng. We de novo assembled the mitogenome with Illumina short reads and Nanopore long reads. The mitochondrial genome of P. notoginseng has a multipartite structure consisting of interconversion between a "master circle" and numerous "subgenomic circles" through recombinations mediated by 64 pairs of repetitive sequences. Among the multipartite structure, seven subgenomic circles were best supported. Six of the seven subgenomic circles shared an 852 bp conserved fragment. The complete mitogenome of P. notoginseng was 662,479 bp long including 34 mitochondrial protein-coding genes (PCGs), three rRNA, and 19 tRNA genes. We identified 166 microsatellite repeats and 26 long-tandem repeats. Phylogenetic analysis resolved a tree that was mostly congruent with the phylogeny of Apiales species described in the APG IV system and the tree built with the chloroplast genome sequences. A total of 12 mitochondrial plastid DNA fragments were identified. Lastly, we predicted 591C-to-U RNA editing sites in the coding regions of mitochondrial PCGs. The mitochondrial genome will lay the foundation for understanding the evolution of Panax species.

Dual-Energy CT Deep Learning Radiomics to Predict Macrotrabecular-Massive Hepatocellular Carcinoma.

Background It is unknown whether the additional information provided by multiparametric dual-energy CT (DECT) could improve the noninvasive diagnosis of the aggressive macrotrabecular-massive (MTM) subtype of hepatocellular carcinoma (HCC). Purpose To evaluate the diagnostic performance of dual-phase contrast-enhanced multiparametric DECT for predicting MTM HCC. Materials and Methods Patients with histopathologic examination-confirmed HCC who underwent contrast-enhanced DECT between June 2019 and June 2022 were retrospectively recruited from three independent centers (center 1, training and internal test data set; centers 2 and 3, external test data set). Radiologic features were visually analyzed and combined with clinical information to establish a clinical-radiologic model. Deep learning (DL) radiomics models were based on DL features and handcrafted features extracted from virtual monoenergetic images and material composition images on dual phase using binary least absolute shrinkage and selection operators. A DL radiomics nomogram was developed using multivariable logistic regression analysis. Model performance was evaluated with the area under the receiver operating characteristic curve (AUC), and the log-rank test was used to analyze recurrence-free survival. Results A total of 262 patients were included (mean age, 54 years ± 12 [SD]; 225 men [86%]; training data set, n = 146 [56%]; internal test data set, n = 35 [13%]; external test data set, n = 81 [31%]). The DL radiomics nomogram better predicted MTM than the clinical-radiologic model (AUC = 0.91 vs 0.77, respectively, for the training set [P < .001], 0.87 vs 0.72 for the internal test data set [P = .04], and 0.89 vs 0.79 for the external test data set [P = .02]), with similar sensitivity (80% vs 87%, respectively; P = .63) and higher specificity (90% vs 63%; P < .001) in the external test data set. The predicted positive MTM groups based on the DL radiomics nomogram had shorter recurrence-free survival than predicted negative MTM groups in all three data sets (training data set, P = .04; internal test data set, P = .01; and external test data set, P = .03). Conclusion A DL radiomics nomogram derived from multiparametric DECT accurately predicted the MTM subtype in patients with HCC. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Chu and Fishman in this issue.

Analysis of the complete plastomes of Albizia kalkora (Roxb.) Prain 1897 (Fabaceae).

Albizia kalkora (Roxb.) Prain 1897, belonging to the family Fabaceae, is not only a landscape tree but also a medicinal plant. At present, few plastomes have been reported from Albizia, which delays the in-depth phylogenomic studies and the development of high-resolution discriminating markers for this genus. Herein, we sequenced the first plastome of A. kalkora by NGS technology. The genome is a circular structure (176,158 bp), containing a large single-copy (LSC) region (91,521 bp), a small copy (SSC) region (5237 bp), and two inverted repeat (IR) regions (39,700 bp each). It has 35.45% GC content and encodes 109 unique genes, which are 76 protein-coding, 4 rRNA, and 29 tRNA genes. The genetic distance analysis of the intergenic spacer regions for A. kalkora, A. odoratissima and A. bracteate shows four intergenic regions with very high K2p values, namely, ccsA-ndhD (15.04), matK-rps16 (10.77), rps11-rpl36 (17.63) and rps3-rps19 (20.08), which can discriminate the three Albizia species. In addition, we identified ten pairs of regions that could be utilized to design primers to discriminate the three Albizia species. The phylogenetic analysis showed Albizia was closely related to Samanea. The results in this study will provide valuable information to elucidate the classification, identification and evolutionary history of Albizia.

Analysis of the complete plastomes of Bidens pilosa L. 1753 (Asteraceae, Coreopsideae) from Beijing, China reveals high genetic diversity and possible misidentifications.

Bidens pilosa L. 1753 is a perennial herbaceous flowering plant, traditionally used in foods and medicines. In this study, we sequenced, assembled, and characterized the complete plastome of B. pilosa from Beijing, China. The plastome (MN385242) is circularized with a conservative quadripartite structure. Its length is 150,524 bp, including a large single-copy region (83,535 bp), a small single-copy region (17,627 bp), and a pair of inverted repeat regions (each 24,681 bp). The plastome consists of 128 genes, including 78 unique protein-coding, 28 unique tRNA, and 4 unique rRNA genes. Phylogenetic analyses showed all five B. pilosa plants couldn't form a monophyletic clade and were separated into three clades. The results of K2P distance and molecular markers were all consistent with those of phylogenetic analysis, revealing high genetic diversity and even possible misidentifications of the B. pilosa. Our results highlighted the importance of correct species identification of materials in medicinal products.

Mitochondrial genome of Artemisia argyi L. suggested conserved mitochondrial protein-coding genes among genera Artemisia, Tanacetum and Chrysanthemum.

BACKGROUND: Artemisia argyi L., also known as mugwort, is a perennial herb whose leaves are commonly used as a source of traditional medicines. However, the evolution and structure of the mitochondrial genome (mitogenome) in A. argyi remain unclear. In this study, the mitogenome of A. argyi was assembled and characterized for the first time. RESULTS: The mitogenome of A. argyi was a circular molecule of 229,354 bp. It encodes 56 genes, including 33 protein-coding genes (PCGs), 20 tRNA genes, and three rRNA genes, and three pseudogenes. Five trans-spliced introns were observed in three PCGs namely, nad1, nad2 and nad5. Repeat analysis identified 65 SSRs, 14 tandem repeats, and 167 dispersed repeats. The A. argyi mitogenome contains 12 plastid transfer sequences from 79 bp to 2552 bp. Five conserved MTPTs were identified in all 18 Asteraceae species. Comparison of mitogenome between A. argyi and one Artemisia specie and two Chrysanthemum species showed 14 conserved gene clusters. Phylogenetic analysis with organelle genomes of A. argyi and 18 other Anthemideae plants showed inconsistent phylogenetic trees, which implied that the evolutionary rates of PCGs and rrna genes derived from mitochondrion and plastid were incongruent. The Ka/Ks ratio of the 27 shared protein-coding genes in the 18 Anthemideae species are all less than 1 indicating that these genes were under the effect of purifying selection. Lastly, a total of 568 RNA editing sites in PCGs were further identified. The average editing frequency of non-synonymous changes was significantly higher than that of synonymous changes (one-sample Student's t-test, p-values ≤ 0.05) in three tissues (root, leaf and stem). CONCLUSIONS: In this study, the gene content, genome size, genome comparison, mitochondrial plastid sequences, dN/dS analysis of mitochondrial protein-coding genes, and RNA-editing events in A. argyi mitogenome were determined, providing insights into the phylogenetic relationships of Asteraceae plant.

Mitochondrial Genome Sequence of Salvia officinalis (Lamiales: Lamiaceae) Suggests Diverse Genome Structures in Cogeneric Species and Finds the Stop Gain of Genes through RNA Editing Events.

Our previous study was the first to confirm that the predominant conformation of mitochondrial genome (mitogenome) sequence of Salvia species contains two circular chromosomes. To further understand the organization, variation, and evolution of Salvia mitogenomes, we characterized the mitogenome of Salvia officinalis. The mitogenome of S. officinalis was sequenced using Illumina short reads and Nanopore long reads and assembled using a hybrid assembly strategy. We found that the predominant conformation of the S. officinalis mitogenome also had two circular chromosomes that were 268,341 bp (MC1) and 39,827 bp (MC2) in length. The S. officinalis mitogenome encoded an angiosperm-typical set of 24 core genes, 9 variable genes, 3 rRNA genes, and 16 tRNA genes. We found many rearrangements of the Salvia mitogenome through inter- and intra-specific comparisons. A phylogenetic analysis of the coding sequences (CDs) of 26 common protein-coding genes (PCGs) of 11 Lamiales species and 2 outgroup taxa strongly indicated that the S. officinalis was a sister taxon to S. miltiorrhiza, consistent with the results obtained using concatenated CDs of common plastid genes. The mapping of RNA-seq data to the CDs of PCGs led to the identification of 451 C-to-U RNA editing sites from 31 PCGs of the S. officinalis mitogenome. Using PCR amplification and Sanger sequencing methods, we successfully validated 113 of the 126 RNA editing sites from 11 PCGs. The results of this study suggest that the predominant conformation of the S. officinalis mitogenome are two circular chromosomes, and the stop gain of rpl5 was found through RNA editing events of the Salvia mitogenome.

Conserved chloroplast genome sequences of the genus Clerodendrum Linn. (Lamiaceae) as a super-barcode.

BACKGROUND: The plants of the genus Clerodendrum L. have great potential for development as an ornamental and important herbal resource. There is no significant morphological difference among many species of the genus Clerodendrum, which will lead to confusion among the herbs of this genus and ultimately affect the quality of the herbs. The chloroplast genome will contribute to the development of new markers used for the identification and classification of species. METHODS AND RESULTS: Here, we obtained the complete chloroplast genome sequences of Clerodendrum chinense (Osbeck) Mabberley and Clerodendrum thomsoniae Balf.f. using the next generation DNA sequencing technology. The chloroplast genomes of the two species all encode a total of 112 unique genes, including 80 protein-coding, 28 tRNA, and four rRNA genes. A total of 44-42 simple sequence repeats, 19-16 tandem repeats and 44-44 scattered repetitive sequences were identified. Phylogenetic analyses showed that the nine Clerodendrum species were classified into two clades and together formed a monophyletic group. Selective pressure analyses of 77 protein-coding genes showed that there was no gene under positive selection in the Clerodendrum branch. Analyses of sequence divergence found two intergenic regions: trnH-GUG-psbA, nhdD-psaC, exhibiting a high degree of variations. Meanwhile, there was no hypervariable region identified in protein coding genes. However, the sequence identities of these two intergenic spacers (IGSs) are greater than 99% among some species, which will result in the two IGSs not being used to distinguish Clerodendrum species. Analysis of the structure at the LSC (Large single copy) /IR (Inverted repeat) and SSC (Small single copy)/IR boundary regions showed dynamic changes. The above results showed that the complete chloroplast genomes can be used as a super-barcode to identify these Clerodendrum species. The study lay the foundation for the understanding of the evolutionary process of the genus Clerodendrum.

CPGView: A package for visualizing detailed chloroplast genome structures.

Chloroplast genomes have been widely used in studying plant phylogeny and evolution. Several chloroplast genome visualization tools have been developed to display the distribution of genes on the genome. However, these tools do not draw features, such as exons, introns, repetitive elements, and variable sites, disallowing in-depth examination of the genome structures. Here, we developed and validated a software package called Chloroplast Genome Viewers (CPGView). CPGView can draw three maps showing (i) the distributions of genes, variable sites, and repetitive sequences, including microsatellites, tandem and dispersed repeats; (ii) the structure of the cis-splicing genes after adjusting the exon-intron boundary positions using a coordinate scaling algorithm, and (iii) the structure of the trans-splicing gene rps12. To test the accuracy of CPGView, we sequenced, assembled, and annotated 31 chloroplast genomes from 31 genera of 22 families. CPGView drew maps correctly for all the 31 chloroplast genomes. Lastly, we used CPGView to examine 5998 publicly released chloroplast genomes from 2513 genera of 553 families. CPGView succeeded in plotting maps for 5882 but failed to plot maps for 116 chloroplast genomes. Further examination showed that the annotations of these 116 genomes had various errors needing manual correction. The test on newly generated data and publicly available data demonstrated the ability of CPGView to identify errors in the annotations of chloroplast genomes. CPGView will become a widely used tool to study the detailed structure of chloroplast genomes. The web version of CPGView can be accessed from http://www.1kmpg.cn/cpgview.

Immunohistochemical evaluation and prognostic value of monocarboxylate transporter 1 (MCT1) and 4 (MCT4) in T-cell non-Hodgkin lymphoma.

Tumor cells often exhibit the Warburg effect, wherein, they preferentially undergo glycolysis over oxidative phosphorylation for energy production. Monocarboxylate transporter 1 (MCT1) and 4 (MCT4) are critical symporters mediating lactate efflux and preventing intracellular acidification during tumor growth. Numerous studies have focused on inhibiting MCT1 or MCT4 in various cancers. However, its role in T-cell lymphoma (TCL) is not yet investigated owing to the low incidence of TCL. This study was designed to investigate the expression of MCT1/MCT4 in patients with TCL and determine their prognostic value in this cancer. We performed immunohistochemistry to evaluate the expression level of MCT1/MCT4 in 38 TCL tissue samples and then compared their expression among different TCL subgroups, which were formed based on different clinical characteristics. Survival analysis was performed to evaluate the relationship between MCT1/MCT4 expression and both overall survival (OS) and progression-free survival (PFS). Our results revealed that MCT1 and MCT4 expression was significantly increased in TCL tissues compared to the control group. In addition, increased MCT1 expression associated with the female sex, advanced disease stage, increased serum LDH, Ki-67 at ≥ 50%, and intermediate or high-risk groups as categorized by the International Prognostic Index (IPI) score. We also found that increased MCT1 expression may be associated with reduced OS and PFS. In conclusion, MCT1 and MCT4 are overexpressed in patients with TCL and may predict poor prognosis. MCT1 inhibition might be a novel treatment strategy for TCL, and further preclinical trials are required.