• Title/Summary/Keyword: Morphological features

Search Result 826, Processing Time 0.027 seconds

Comparative proteomic analysis of Celastrus hindsii Benth. phenotypes reveals an intraspecific variation

  • Nguyen, Van Huy;Pham, Thanh Loan;Ha, Thi Tam Tien;Hoang, Thi Le Thu
    • Journal of Plant Biotechnology
    • /
    • v.47 no.4
    • /
    • pp.273-282
    • /
    • 2020
  • In Vietnam, Celastrus hindsii Benth, a medicinal plant rich in secondary metabolites, has been used to alleviate distress caused by ulcers, tumors, and inflammation for generations. The occurrence of two phenotypes, Broad Leaf (BL) and Narrow Leaf (NL), has raised questions about the selection of appropriate varieties for conservation and crop improvement to enhance medicinal properties. This study examined molecular differences in C. hindsii by comparing protein profiles between the NL and BL types using 2D-PAGE and MS. Peptide sequences and proteins were identified by matching MS data against the MSPnr100 databases and verified using the MultiIdent tool on ExPASy and the Blast2GO software. Our results revealed notable variations in protein abundance between the NL and BL proteomes. Selected proteins were confidently identified from 12 protein spots, thereby highlighting the molecular variation between NL and BL proteomes. Upregulated proteins in BL were found to be associated with flavonoid and amino acid biosynthesis as well as nuclease metabolism, which probably attributed to the intraspecific variations. Several bioactive proteins identified in this study can have applications in cancer therapeutics. Therefore, the BL phenotype characterized by healthier external morphological features has higher levels of bioactive compounds and could be better suited for medicinal use.

Paramyrothecium eichhorniae sp. nov., Causing Leaf Blight Disease of Water Hyacinth from Thailand

  • Pinruan, Umpawa;Unartngam, Jintana;Unartngam, Arm;Piyaboon, Orawan;Sommai, Sujinda;Khamsuntorn, Phongsawat
    • Mycobiology
    • /
    • v.50 no.1
    • /
    • pp.12-19
    • /
    • 2022
  • Paramyrothecium eichhorniae sp. nov. was observed and collected from Chiang Mai and Phetchaburi Provinces, Thailand. This new species is introduced based on morphological and molecular evidence. This fungus is characterized by its production of sporodochium conidiomata with a white setose fringe surrounding an olivaceous green to dark green slimy mass of conidia, penicillately branched conidiophores, and aseptate and cylindrical to ellipsoid conidia. Phylogenetic analyses of combined LSU rDNA, ITS rDNA, tef1, rpb2, tub2 and cmdA sequence data using maximum parsimony, maximum likelihood and Bayesian approaches placed the fungus in a strongly supported clade with other Paramyrothecium species in Stachybotryaceae (Hypocreales, Sordariomycetes). The descriptions of the species are accompanied by illustrations of morphological features, and a discussion of the related taxa is presented.

Ulva grossa sp. nov. (Ulvales, Chlorophyta) from Korea based on Molecular and Morphological Analyses

  • Kang, Pil Joon;An, Jae Woo;Nam, Ki Wan
    • Journal of Marine Bioscience and Biotechnology
    • /
    • v.14 no.1
    • /
    • pp.51-60
    • /
    • 2022
  • A green alga specimen was collected from the eastern coast of Korea. This species shared the typical features of genus Ulva and was characterized by irregularly shaped thalli, relatively small and thick thallus, entire undulate margins without serrations, and one or two pyrenoids per cell. In a phylogenetic tree, based on sequences of the nuclear-encoded internal transcribed spacer region, it nests as a sister clade to a few species including Ulva ohnoi, which has a relatively large thallus. This Korean algal specimen differs from the species forming the same subclades, including U. ohnoi, Ulva fasciata, Ulva reticulata, and Ulva gigantean, and has a relatively small (3-8 cm) and thick (60-100 ㎛) thallus. Of these species, U. ohnoi, originally described from Japan, is similar to the Korean alga as it had a thick thallus of 30-90 ㎛, but it has microscopic serrations on the thallus margin, unlike the Korean alga. The genetic distance between the Korean alga species and the aforementioned species was determined to be 1.8%-4.8%, indicating an inter-specific divergence level at the genus Ulva. Herein, Ulva grossa sp. nov. (Ulvales, Chlorophyta) from Korea is described based on the morphological and molecular analyses.

Phrase-Chunk Level Hierarchical Attention Networks for Arabic Sentiment Analysis

  • Abdelmawgoud M. Meabed;Sherif Mahdy Abdou;Mervat Hassan Gheith
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.9
    • /
    • pp.120-128
    • /
    • 2023
  • In this work, we have presented ATSA, a hierarchical attention deep learning model for Arabic sentiment analysis. ATSA was proposed by addressing several challenges and limitations that arise when applying the classical models to perform opinion mining in Arabic. Arabic-specific challenges including the morphological complexity and language sparsity were addressed by modeling semantic composition at the Arabic morphological analysis after performing tokenization. ATSA proposed to perform phrase-chunks sentiment embedding to provide a broader set of features that cover syntactic, semantic, and sentiment information. We used phrase structure parser to generate syntactic parse trees that are used as a reference for ATSA. This allowed modeling semantic and sentiment composition following the natural order in which words and phrase-chunks are combined in a sentence. The proposed model was evaluated on three Arabic corpora that correspond to different genres (newswire, online comments, and tweets) and different writing styles (MSA and dialectal Arabic). Experiments showed that each of the proposed contributions in ATSA was able to achieve significant improvement. The combination of all contributions, which makes up for the complete ATSA model, was able to improve the classification accuracy by 3% and 2% on Tweets and Hotel reviews datasets, respectively, compared to the existing models.

Quantification of the ichthyotoxic raphidophyte Chattonella marina complex by applying a droplet digital PCR

  • Juhee, Min;Kwang Young, Kim
    • ALGAE
    • /
    • v.37 no.4
    • /
    • pp.281-291
    • /
    • 2022
  • Quantifying the abundance of Chattonella species is necessary to effectively manage the threats from ichthyotoxic raphidophytes, which can cause large-scale mortality of aquacultured fish in temperate waters. The identification and cell counting of Chattonella species have been conducted primarily on living cells without fixation by light microscopy because routine fixatives do not retain their morphological features. Species belonging to the Chattonella marina complex, including C. marina and C. marina var. ovata, had high genetic similarities and the lack of clear morphological delimitations between the species. To estimate the abundance of C. marina complex in marine plankton samples, we developed a protocol based on the droplet digital polymerase chain reaction (ddPCR) assay, with C. marina complex-specific primers targeting the internal transcribed spacer (ITS) region of the rDNA. Cell abundance of the C. marina complex can be determined using the ITS copy number per cell, ranging from 25 ± 1 for C. marina to 112 ± 7 for C. marina var. ovata. There were no significant differences in ITS copies estimated by the ddPCR assay between environmental DNA samples from various localities spiked with the same number of cells of culture strains. This approach can be employed to improve the monitoring efficiency of various marine protists and to support the implementation of management for harmful algal blooms, which are difficult to analyze using microscopy alone.

Morpho-GAN: Unsupervised Learning of Data with High Morphology using Generative Adversarial Networks (Morpho-GAN: Generative Adversarial Networks를 사용하여 높은 형태론 데이터에 대한 비지도학습)

  • Abduazimov, Azamat;Jo, GeunSik
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2020.01a
    • /
    • pp.11-14
    • /
    • 2020
  • The importance of data in the development of deep learning is very high. Data with high morphological features are usually utilized in the domains where careful lens calibrations are needed by a human to capture those data. Synthesis of high morphological data for that domain can be a great asset to improve the classification accuracy of systems in the field. Unsupervised learning can be employed for this task. Generating photo-realistic objects of interest has been massively studied after Generative Adversarial Network (GAN) was introduced. In this paper, we propose Morpho-GAN, a method that unifies several GAN techniques to generate quality data of high morphology. Our method introduces a new suitable training objective in the discriminator of GAN to synthesize images that follow the distribution of the original dataset. The results demonstrate that the proposed method can generate plausible data as good as other modern baseline models while taking a less complex during training.

  • PDF

Supplementation of retinoic acid alone in MSC culture medium induced germ cell-like cell differentiation

  • Kuldeep Kumar;Kinsuk Das;Ajay Kumar;Purnima Singh;Madhusoodan A. P.;Triveni Dutt;Sadhan Bag
    • Journal of Animal Reproduction and Biotechnology
    • /
    • v.38 no.2
    • /
    • pp.54-61
    • /
    • 2023
  • Background: Germ cells undergo towards male or female pathways to produce spermatozoa or oocyte respectively which is essential for sexual reproduction. Mesenchymal stem cells (MSCs) have the potential of trans-differentiation to the multiple cell lineages. Methods: Herein, rat MSCs were isolated from bone marrow and characterized by their morphological features, expression of MSC surface markers, and in vitro differentiation capability. Results: Thereafter, we induced these cells only by retinoic acid supplementation in MSC medium and, could able to show that bone marrow derived MSCs are capable to trans-differentiate into male germ cell-like cells in vitro. We characterized these cells by morphological changes, the expressions of germ cell specific markers by immunophenotyping and molecular biology tools. Further, we quantified these differentiated cells. Conclusions: This study suggests that only Retinoic acid in culture medium could induce bone marrow MSCs to differentiate germ cell-like cells in vitro. This basic method of germ cell generation might be helpful in the prospective applications of this technology.

Morphological and Molecular Analyses of $Anabaena$ $variabilis$ and $Trichormus$ $variabilis$ (Cyanobacteria) from Korea

  • Choi, Gang-Guk;Yoon, Sook-Kyung;Kim, Hee-Sik;Ahn, Chi-Yong;Oh, Hee-Mock
    • Korean Journal of Environmental Biology
    • /
    • v.30 no.1
    • /
    • pp.54-63
    • /
    • 2012
  • This study characterizes three $Anabaena$ strains and 5 $Trichormus$ strains isolated from Korean waters and 3 $Anabaena$ $flos-aquae$ strains procured from the UTEX based on morphological features and molecular analyses. The $Anabaena$ and $Trichormus$ isolates were morphologically assigned to $A.$ $variabilis$ K$\ddot{u}$tzing and $T.$ $variabilis$(K$\ddot{u}$tzing ex Bornet et Flahault) Kom$\acute{a}$rek et Anagnostidis, respectively. The $Anabaena$ and $Trichormus$ strains differed significantly in the mean length of their vegetative cells. The 16S rRNA genes from the $Anabaena$ strains showed a 100% identity to that from $A.$ $variabilis$ ATCC 29413, while the 16S rRNA genes from the $Trichormus$ strains showed a 99.9% identity to that from $T.$ $variabilis$ GREIFSWALD. The overall topology was in agreement for the 16S rRNA gene and $cpcBA$-IGS trees in the both tree-constructing methods. In a neighbor-joining tree based on the 16S rRNA gene, the 3 $Anabaena$ strains were asso-ciated with $A.$ $variabilis$, the 5 $Trichormus$ strains with $T.$ $variabilis$, and the 3 $Anabaena$ (UTEX) strains were with $Nostoc$. To date, this is the first report on $A.$ $variabilis$ and $T.$ $variabilis$ strains originating from Korea.

A Robust Pattern-based Feature Extraction Method for Sentiment Categorization of Korean Customer Reviews (강건한 한국어 상품평의 감정 분류를 위한 패턴 기반 자질 추출 방법)

  • Shin, Jun-Soo;Kim, Hark-Soo
    • Journal of KIISE:Software and Applications
    • /
    • v.37 no.12
    • /
    • pp.946-950
    • /
    • 2010
  • Many sentiment categorization systems based on machine learning methods use morphological analyzers in order to extract linguistic features from sentences. However, the morphological analyzers do not generally perform well in a customer review domain because online customer reviews include many spacing errors and spelling errors. These low performances of the underlying systems lead to performance decreases of the sentiment categorization systems. To resolve this problem, we propose a feature extraction method based on simple longest matching of Eojeol (a Korean spacing unit) and phoneme patterns. The two kinds of patterns are automatically constructed from a large amount of POS (part-of-speech) tagged corpus. Eojeol patterns consist of Eojeols including content words such as nouns and verbs. Phoneme patterns consist of leading consonant and vowel pairs of predicate words such as verbs and adjectives because spelling errors seldom occur in leading consonants and vowels. To evaluate the proposed method, we implemented a sentiment categorization system using a SVM (Support Vector Machine) as a machine learner. In the experiment with Korean customer reviews, the sentiment categorization system using the proposed method outperformed that using a morphological analyzer as a feature extractor.

Photometric and Spectroscopic Morphology Classifications Using SDSS DR7 : Virgo Cluster

  • Kim, Suk;Rey, Soo-Chang;Sung, Eon-Chang;Lisker, Thorsten;Jerjen, Helmut;Lee, Young-Dae;Chung, Ji-Won;Pak, Min-A;Yi, Won-Hyeong
    • The Bulletin of The Korean Astronomical Society
    • /
    • v.36 no.2
    • /
    • pp.69.1-69.1
    • /
    • 2011
  • While the Virgo Cluster Catalog (VCC) is well established catalog from deep photographic plate survey, with available survey data recently released (e.g., SDSS), it can be further updated concerning the membership and morphology of galaxies. While membership and morphology of galaxies included in the VCC are based on the single band imaging data, thanks to the multi-color imaging and spectroscopic observations of SDSS, we are able to revise the membership and morphology of sample galaxies in the fields of the Virgo cluster. We present a new catalog of galaxies in the Virgo cluster using SDSS DR7 data, the extended Virgo cluster catalog. Using SDSS imaging and spectroscopic data, we introduce two kinds of galaxy classifications which are complementary each other. In addition to traditional morphological classification by visual inspection of the images ("Primary Classification"), we also attempt to classify galaxies with the spectroscopic features ("Secondary Classification"). The primary classification is basically based on the scheme of galaxy morphological classification of VCC. The secondary classification relies on the SED shape and presence of emission/absorption lines returned from SDSS. Our morphological classifications allow to study the evolution and associated star formation histories of galaxies in the Virgo cluster.

  • PDF