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Flemingia stricta Roxb. ex Ait. 1812 belongs to the Phaseoleae tribe within the Fabaceae family and has significant pharmaceutical value. In this study, we reported the complete chloroplast genome of F. stricta using the Illumina DNA sequencing data. The chloroplast genome was 152,940 bp and encoded 111 unique genes, including 77 protein-coding genes (PCGs), 30 transfer RNA (tRNA) genes, and 4 ribosomal RNA (rRNA) genes. The phylogenetic analysis confirmed that F. stricta was closely related to Flemingia prostrata and Flemingia macrophylla. The chloroplast genome of F. stricta could provide critical information for the molecular breeding of F. stricta and be used as a reference genome for other species of Phaseoleae.
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Panax quinquefolius is a perennial plant with medicinal values. In this study, we assembled the complete mitochondrial genome (mitogenome) of P. quinquefolius using PMAT assembler. The total length of P. quinquefolius mitogenome is 573,154 bp. We annotated a total of 34 protein-coding genes (PCGs), 35 tRNA genes, and 6 rRNA genes in this mitogenome. The analysis of repetitive elements shows that there are 153 SSRs, 24 tandem repeats and 242 pairs of dispersed repeats this mitogenome. Also, we found 24 homologous sequences with a total length of 64,070 bp among its mitogenome and plastome, accounting for 41.05 % of the plastome, and 11.18 % of the mitogenome, showing a remarkable frequent sequence dialogue between plastome and mitogenomes. Besides, a total of 583 C to U RNA editing sites on 34 PCGs of high confidence were predicted by using Deepred-mt. We also inferred the phylogenetic relationships of P. quinquefolius and other angiosperms based on mitochondrial PCGs. Finally, we observed a shift from cis- to trans-splicing in P. quinquefolius for two mitochondrial introns, namely cox2i373 and nad1i728, and a pair of 48 bp short repetitive sequences may be associated with the breaking and rearrangement of the cox2i373 intron. The fragmentation of the cox2i373 intron was further confirmed by our PCR amplification experiments. In summary, our report on the P. quinquefolius mitogenome provides a new perspective on the intron evolution of the mitogenome.
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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.
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Carcinoma Hepatocelular , Neoplasias Hepáticas , Neoplasias Hepáticas/diagnóstico por imagem , Neoplasias Hepáticas/cirurgia , Neoplasias Hepáticas/patologia , Humanos , Carcinoma Hepatocelular/diagnóstico por imagem , Carcinoma Hepatocelular/cirurgia , Carcinoma Hepatocelular/patologia , Recidiva Local de Neoplasia/diagnóstico por imagem , Processamento de Imagem Assistida por Computador/métodos , Imageamento por Ressonância Magnética , Recidiva , Aprendizado ProfundoRESUMO
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.
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Genoma Mitocondrial , Software , Genoma Mitocondrial/genética , Biologia Computacional/métodos , Genoma de Planta/genética , Plantas/genética , Plantas/classificaçãoRESUMO
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.
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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.
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Ardisia , Genoma de Cloroplastos , Filogenia , China , Folhas de PlantaRESUMO
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.