Biology subjects

Vasileiadou, K.

Publications and source records attributed to Vasileiadou, K..

3 recordsLinked to original sources

bioRxiv2025

ERGA-BGE genome of Noah's Ark shell (Arca noae Linnaeus, 1758), a Mediterranean bivalve species

Arca noae, also known as the Noahs Ark clam, is a bivalve mollusk found in the shallow coastal waters of the Mediterranean Sea and the eastern Atlantic Ocean. This species plays a crucial ecological role by filtering plankton and organic particles from the water, helping maintain water quality and supporting nutrient cycling in marine ecosystems. It is also an important food source for various marine predators, including fish and crustaceans, thereby contributing to the coastal food web. Arca noae is notably resilient to environmental stressors, such as temperature fluctuations, changes in salinity, and pollution, making it a valuable model species for studying how bivalves adapt and respond to stress. While it is not commonly harvested commercially, Arca noae is of great interest to marine researchers due to its ability to thrive in diverse coastal habitats. The reference genome of Arca noae will thus provide important evolutionary insights. The entirety of the genome sequence was assembled into 19 contiguous chromosomal pseudomolecules. This chromosome-level assembly encompasses 1.5 Gb, composed of 257 contigs and 119 scaffolds, with contig and scaffold N50 values of 20.5 Mb and 84.7 Mb, respectively.

genomics↗

bioRxiv2025

ERGA-BGE genome of Pinctada radiata (Leach, 1814): one of the first Lessepsian migrants

Pinctada radiata, commonly known as the Gulf pearl oyster, is a species of pearl oyster found primarily in the warm waters of the Red Sea, the Persian Gulf, and parts of the Indian Ocean. Pinctada radiata contributes to marine ecosystems by filtering water, which helps maintain water quality and supports other marine life. This species is the first bivalve Lessepsian migrant, having migrated from the Red Sea to the Mediterranean Sea via the Suez Canal. The reference genome of Pinctada radiata could help identify genes enabling adaptation to varying temperatures and salinities, facilitating survival in diverse and newly colonized habitats allowing comparisons with other bivalves to uncover shared and unique genetic adaptations. Additionally, the genome could support targeted management practices and conservation initiatives, such as habitat restoration and selective breeding, ensuring the long-term sustainability of P. radiata. The entirety of the genome sequence was assembled into 14 contiguous chromosomal pseudomolecules. This chromosome-level assembly encompasses 0.93 Gb, composed of 220 contigs and 44 scaffolds, with contig and scaffold N50 values of 8.1 Mb and 63.8 Mb, respectively.

genomics↗

bioRxiv2019

PEMA: from the raw .fastq files of 16S rRNA and COI marker genes to the (M)OTU-table, a thorough metabarcoding analysis

BackgroundEnvironmental DNA (eDNA) and metabarcoding, allow the identification of a mixture of individuals and launch a new era in bio- and eco-assessment. A number of steps are required to obtain taxonomically assigned (Molecular) Operational Taxonomic Unit ((M)OTU) tables from raw data. For most of these, a plethora of tools is available; each tools execution parameters need to be tailored to reflect each experiments idiosyncrasy. Adding to this complexity, for such analyses, the computation capacity of High Performance Computing (HPC) systems is frequently required.\n\nSoftware containerization technologies ease the sharing and running of software packages across operating systems; thus, they strongly facilitate pipeline development and usage. Likewise are programming languages specialized for big data pipelines, incorporating features like roll-back checkpoints and on-demand partial pipeline execution.\n\nFindingsPEMA is a containerized assembly of key metabarcoding analysis tools with a low effort in setting up, running and customizing to researchers needs. Based on third party tools, PEMA performs reads pre-processing, clustering to (M)OTUs and taxonomy assignment for 16S rRNA and COI marker gene data. Due to its simplified parameterisation and checkpoint support, PEMA allows users to explore alternative algorithms for specific steps of the pipeline without the need of a complete re-execution. PEMA was evaluated against previously published datasets and achieved comparable quality results.\n\nConclusionsGiven its time-efficient performance and its quality results, it is suggested that PEMA can be used for accurate eDNA metabarcoding analysis, thus enhancing the applicability of next-generation biodiversity assessment studies.

bioinformatics↗