ArticleEvolutionary applications2026
Development of Metagenomic Methods for Health Monitoring of Endangered Species Using Fecal Samples.
Article in Evolutionary applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Development of Metagenomic Methods for Health Monitoring of Endangered Species Using Fecal Samples.Evolutionary applications · 2026Article
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Authors and funding
3 authors.
Funding
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Abstract
Metagenomic analysis of fecal samples is emerging as a powerful tool for monitoring endangered species, particularly in assessing the burden of pathogens and parasites that can threaten population viability. However, accurate identification in non-model species remains challenging due to the frequent absence of host-specific pathogen reference genomes. In this study, we developed a robust computational framework for detecting potentially pathogenic bacteria from metagenomic sequences by mapping them to available reference genomes in databases. Several key parameters affecting the analysis, including mapping algorithm, database configuration, and identification parameters, were analyzed to optimize detection sensitivity and specificity. Applying this approach to fresh fecal samples of the Iberian desman (
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