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Updated: Feb 1, 2026

Genome-wide Analysis of Aminoacylation Charging Levels of tRNA Using Microarrays
Published on: June 18, 2010
Contaminación de bajo nivel confunde el análisis genómico poblacional
Audrey K Ward1, Eduardo F C Scopel2, Brent Shuman3
1Department of Genetics, University of Georgia, 120 E. Green St., Athens, 30602, Georgia, USA.
Abstract:
Genome sequence contamination has a variety of causes and can originate from within or between species. Previous research focused on contamination between distantly related species or on prokaryotes. Here we test for intra-species contamination by mapping short read genome data to a reference and visualizing the frequency of reads with single nucleotide di_erences from the reference. Out of 1,298 publicly available genome sequences investigated for Saccharomyces cerevisiae, a small number (8 genomes) show at least 5% contamination. Contamination rates di_ered however among sequencing centers: one unusually large study had a low contamination rate (below 0.2%) but the contamination rate was higher for other studies (2% or 15% of genomes). Using genome data contaminated in silico to known degrees, we showed that contamination is recognizable in plots with unexpected secondary allele (B-allele) frequencies of at least 5% and measured contamination e_ects on admixture and phylogenetic analysis in two fungal species. With a standard base calling pipeline, we found that contaminated genomes super_cially appeared to produce good quality genome data. Yet as little as 5-10% genome contamination was enough to change phylogenetic tree topologies and make contaminated strains appear as hybrids between lineages (genetically admixed). We recommend the use of B-allele frequency plots to screen genome resequencing data for intra-species contamination.
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