Viola arcuata
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA821305 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Viola arcuata Chloroplast Genome sequencing and assembly
| PRJNA815741 | ENA
Project description:Schmidingerella arcuata is an ecologically important tintinnid ciliate that has long served as a model species in plankton trophic ecology. We present a partial micronuclear genome and macronuclear transcriptome resource for S. arcuata, acquired using single-cell techniques, and we report on pilot analyses including functional annotation and genome architecture. Our analysis shows major fragmentation, elimination, and scrambling in the micronuclear genome of S. arcuata. This work introduces a new nonmodel genome resource for the study of ciliate ecology and genomic biology and provides a detailed functional counterpart to ecological research on S. arcuata.
| S-EPMC7523726 | BioStudies
Project description:In this study complete nucleotide sequences of the mitochondrial genome of fiddler crab <i>Uca arcuata</i> (De Haan, 1835) were determined and characterized. The length of mitochondrial genome for <i>U. arcuata</i> is 15,955?bp. This is the third and the longest record of complete mitochondrial genome from the family Ocypodidae. Furthermore, phylogenetic relationships were evaluated due to mitochondrial protein-coding genes. Phylogenetic tree suggests that <i>U. arcuata</i> belongs to the monophyletic family Ocypodidae and has sister group relationship with the genus <i>Ocypode</i>.
| S-EPMC7800788 | BioStudies
Project description:<h4> </h4>Here, we present Viola, a Python package that provides structural variant (SV; large scale genome DNA variations that can result in disease, e.g., cancer) signature analytical functions and utilities for custom SV classification, merging multi-SV-caller output files, and SV annotation. We demonstrate that Viola can extract biologically meaningful SV signatures from publicly available SV data for cancer and we evaluate the computational time necessary for annotation of the data.<h4>Availability</h4>Viola is available on pip (https://pypi.org/project/Viola-SV/) and the source code is on GitHub (https://github.com/dermasugita/Viola-SV).<h4>Supplementary information</h4>Supplementary data are available at Bioinformatics online.
| S-EPMC8723148 | BioStudies
Project description:The Hawaiian endemic Viola kauaensis A. Gray has a broad distribution in bogs of Kaua`i and a limited distribution on mesic ridges in the Ko`olau Mountains of O`ahu. Based on differences in scale, the O`ahu populations of Viola kauaensis had previously been described as a distinct taxon. The taxonomic status of the O`ahu populations was reevaluated through a morphometric analysis of all varieties of Viola kauaensis and the morphologically similar Viola vanroyenii. Morphological features of historic and freshly collected specimens of all varieties of Viola kauaensis were analyzed with a principal components analysis. Populations from O`ahu represent a distinct cluster that slightly overlaps with Viola kauaensis var. kauaensis. Lamina width, apex angle, and base angles contribute to the separation of the O`ahu populations from other varieties of Viola kauaensis. Due to differences in scale, the O`ahu populations are described as Viola kauaensis var. hosakae, a new critically endangered taxon.
2014-01-01 | S-EPMC4152890 | BioStudies
Project description:The Rhodophyta Sheathia arcuata is exclusively distributed in freshwater, constituting an important component in freshwater flora. This study presents the first transcriptome profiling of freshwater Rhodophyta taxa. A total of 161,483 assembled transcripts were identified, annotated and classified into different biological categories and pathways based on BLAST against diverse databases. Different gene expression patterns were caused principally by different irradiances considering the similar water conditions of the sampling site when the specimens were collected. Comparison results of gene expression levels under different irradiances revealed that photosynthesis-related pathways significantly up-regulated under the weak light. Molecular responses for improved photosynthetic activity include the transcripts corresponding to antenna proteins (LHCA1 and LHCA4), photosynthetic apparatus proteins (PSBU, PETB, PETC, PETH and beta and gamma subunits of ATPase) and metabolic enzymes in the carbon fixation. Along with photosynthesis, other metabolic activities were also regulated to optimize the growing and development of S. arcuata under appropriate sunlight. Protein-protein interactive networks revealed the most responsive up-expressed transcripts were ribosomal proteins. The de-novo transcriptome assembly of S. arcuata provides a foundation for further investigation on the molecular mechanism of photosynthesis and environmental adaption for freshwater Rhodophyta.
| S-EPMC5973588 | BioStudies