Biology subjects

Rodinho Nunes Ferreira, J. G.

Publications and source records attributed to Rodinho Nunes Ferreira, J. G..

2 recordsLinked to original sources

bioRxiv2022

A high quality chromosome-level genome assembly for the golden mussel (Limnoperna fortunei)

The golden mussel (Limnoperna fortunei) is a highly adaptive species that causes environmental and socioeconomic losses in invaded areas. Reference genomes have proven to be a valuable resource for studying the biology of invasive species. While the current golden mussel genome has been useful for identifying new genes, its high fragmentation hinders some applications. In this Data Note, we provide the first chromosome-level reference genome for the golden mussel. The genome was built using Hi-C, PacBio HiFi and 10X sequencing data. The final assembly contains 99.4% of its total length assembled to the 15 chromosomes of the species and a scaffold N50 of 97.05 Mb. Approximately 47% of the genome was annotated as repetitive sequences. A total of 34 862 protein-coding genes were predicted, of which 84.7% were functionally annotated. This new high quality genome is expected to support both basic and applied research on this invasive species. Species taxonomyEukaryota; Opisthokonta; Metazoa; Eumetazoa; Bilateria; Protostomia; Spiralia; Lophotrochozoa; Mollusca; Bivalvia; Autobranchia; Pteriomorphia; Mytilida; Mytiloidea; Mytilidae; Arcuatulinae; Limnoperna; Limnoperna fortunei (Dunker, 1857) (NCBI Taxonomy ID: 356393)

genomics↗

bioRxiv2020

Population structure of the invasive golden mussel (Limnoperna fortunei) on reservoirs from five Brazilian drainage basins

The golden mussel (Limnoperna fortunei) is a freshwater bivalve that was introduced in South America almost 30 years ago, likely through ballast water of Asian ships. Since then, it has spread across the continent, causing both economic and environmental impacts. The study of the population structure of an invasive species may bring valuable insights towards understanding its pattern of dispersion, which in turn will help to create more effective management plans. Here, we have compared mussel populations from 5 different Brazilian reservoirs and tested for the presence of geographic genetic structure. In order to obtain a high number of single nucleotide variants (SNVs) at good cost-benefit, we have for the first time applied the double digest restriction-site associated DNA sequencing (ddRAD-seq) protocol for the golden mussel. The ddRAD-seq protocol allowed us to obtain 2046 SNVs, which were then used to assess population structure by applying three independent methodologies: Principal Component Analysis (PCA), Bayesian Clustering and Phylogenetic Tree. All methodologies have indicated absent geographic structure.

genetics↗