A Large-Scale Study into Protist-Animal Interactions Based on Public Genomic Data Using DNA Barcodes.
Ontology highlight
ABSTRACT: With the birth of next-generation sequencing (NGS) technology, genomic data in public databases have increased exponentially. Unfortunately, exogenous contamination or intracellular parasite sequences in assemblies could confuse genomic analysis. Meanwhile, they can provide a valuable resource for studies of host-microbe interactions. Here, we used a strategy based on DNA barcodes to scan protistan contamination in the GenBank WGS/TSA database. The results showed a total of 13,952 metazoan/animal assemblies in GenBank, where 17,036 contigs were found to be protistan contaminants in 1507 assemblies (10.8%), with even higher contamination rates in taxa of Cnidaria (150/281), Crustacea (237/480), and Mollusca (107/410). Taxonomic analysis of the protists derived from these contigs showed vari
SUBMITTER: Xie J
PROVIDER: S-EPMC10376638 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature
ACCESS DATA