ArticleAIMS environmental science2017
Analysis of human mitochondrial DNA sequences from fecally polluted environmental waters as a tool to study population diversity.
Article in AIMS environmental science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed, 5 citations in OpenAlex.
- Good Ethical and Laboratory Practices for Wastewater Surveillance.Water environment research : a research publication of the Water Environment Federation · 2025Article
- Revealing the Viable Microbial Community of Biofilm in a Sewage Treatment System Using Propidium Monoazide Combined with Real-Time PCR and Metagenomics.Microorganisms · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Mitochondrial signature sequences have frequently been used to study human population diversity around the world. Traditionally, this requires obtaining samples directly from individuals which is cumbersome, time consuming and limited to the number of individuals that participated in these types of surveys. Here, we used environmental DNA extracts to determine the presence and sequence variability of human mitochondrial sequences as a means to study the diversity of populations inhabiting in areas nearby a tropical watershed impacted with human fecal pollution. We used high-throughput sequencing (Illumina) and barcoding to obtain thousands of sequences from the mitochondrial hypervariable region 2 (HVR2) and determined the different haplotypes present in 10 different water samples. Sequence analyses indicated a total of 19 distinct variants with frequency greater than 5%. The HVR2 sequences were associated with haplogroups of West Eurasian (57.6%), Sub-Saharan African (23.9%), and American Indian (11%) ancestry. This was in relative accordance with population census data from the watershed sites. The results from this study demonstrates the potential value of mitochondrial sequence data retrieved from fecally impacted environmental waters to study the population diversity of local municipalities. This environmental DNA approach may also have other public health implications such as tracking background levels of human mitochondrial genes associated with diseases. It may be possible to expand this approach to other animal species inhabiting or using natural water systems.
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Registered trials
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