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Mitochondrial Impostors: Prevalence and Impacts of NUMTs on Genetic and Evolutionary Studies in Carnivora.

Nuclear mitochondrial pseudogenes are mitochondria-derived DNA sequences integrated into the nuclear genome, which can introduce errors in species identification, phylogenetic inference, and population genetics. Although nuclear mitochondrial pseudogene contamination has been reported in some Carnivora species, a systematic investigation into the prevalence and impacts of nuclear mitochondrial pseudogenes across an order is still lacking. In this study, 22,102 mitochondrial DNA sequences of 80 Carnivora species from 14 families and 54 genera were retrieved from the public National Center for Biotechnology Information database and further analyzed. Using alignment-based methods, 158 problematic sequences/sequence groups were identified and categorized into four types: nuclear mitochondrial pseudogenes, species misidentification or mislabeling, sequence errors, and anomalous sites. Among families, Felidae exhibited the highest rate of nuclear mitochondrial pseudogene contamination, particularly in species of the genus Panthera. In contrast, no nuclear mitochondrial pseudogene contamination was detected in members of Ursidae and Ailuridae. Phylogenetic analysis revealed multiple independent origins of nuclear mitochondrial pseudogene, with some tracing back to the common ancestor of Carnivora. To mitigate nuclear mitochondrial pseudogene-related errors, rigorous sequence verification strategies, such as sequence alignment and phylogenetic validation, should be implemented. In conclusion, our findings highlight the necessity of nuclear mitochondrial pseudogene awareness in genetic and evolutionary studies of Carnivora and other taxa.

Animals

Bridging the gap between legacy polymerase chain reaction-based microsatellite data with high-throughput sequencing data for conservation genomics.

Microsatellites are powerful markers for tracking genetic variation in wildlife populations due to their high polymorphism and genome-wide abundance. While polymerase chain reaction (PCR)-based fragment size analysis has been the standard for genotyping microsatellites, high-throughput sequencing offers greater resolution and the opportunity to sync historical datasets with modern analyses. We evaluated how genotypes from whole-genome sequencing align with PCR data for 15 microsatellite loci in 11 North American brown bears (Ursus arctos). Brown bear populations in the 48 contiguous United States have declined from approximately 50,000 to fewer than 2,000 over the past decades. Their endangered status has prompted extensive research and genetic monitoring, yielding large, multiyear microsatellite datasets upon which future conservation efforts can build. We achieved an overall microsatellite genotype concordance rate of 94.5% comparing high-throughput sequencing results to PCR based-fragment size results. All discrepancies occurred at complex loci containing multiple insertions and/or deletions (indels). Physically linked indels or single nucleotide polymorphisms (SNPs) occurring within the loci were misinterpreted as independent insertions, underscoring the need for genotyping tools that incorporate phasing when genotyping. To evaluate coverage effects, we downsampled high-throughput sequence data from 30x to 2x. Concordance remained high at 20 to 30x but dropped sharply at 10x, with 5x and 2x having discordant genotypes or insufficient coverage for genotyping. Accurate genotyping required both sufficient depth and number of reads spanning the entire repeat regions. Our results show that short-read whole-genome sequencing can recover microsatellite genotypes with high accuracy when paired with careful variant interpretation. By aligning historical PCR datasets with modern sequencing data, we can preserve decades of genetic insight and strengthen long-term monitoring of at-risk populations.

Animals