Improving Environmental DNA Sensitivity for Dreissenid Mussels by Targeting Tandem Repeat Regions of the Mitochondrial Genome

被引:0
|
作者
Marshall, Nathaniel T. [1 ,2 ]
Vanderploeg, Henry A. [3 ]
Chaganti, Subba Rao [1 ]
机构
[1] Univ Michigan, Cooperat Inst Great Lakes Res CIGLR, 4840 South State Rd, Ann Arbor, MI 48108 USA
[2] Stantec Consulting Ltd, 1500 Lake Shore Dr, Columbus, OH 43204 USA
[3] NOAA, Great Lakes Environm Res Lab, 4840 South State Rd, Ann Arbor, MI 48108 USA
关键词
environmental DNA; quantitative PCR; dreissenid mussels; mitochondrial genome; aquatic invasive species; ZEBRA MUSSEL; POLYMORPHA; QUAGGA; SURVEILLANCE; INVASION; EDNA; MANAGEMENT; TRANSPORT; BUGENSIS; IMPACTS;
D O I
10.3390/w14132069
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The recent genetic revolution through the analysis of aquatic environmental DNA (eDNA) has become a powerful tool for improving the detection of rare and/or invasive species. For the majority of eDNA studies, genetic assays are designed to target mitochondrial genes commonly referred to as "barcode" regions. However, unlike the typical structure of an animal mitochondrial genome, those for the invasive zebra and quagga mussels are greatly expanded with large extended tandem repeat regions. These sections of repeated DNA can appear hundreds of times within the genome compared to a single copy for the mitochondrial barcode genes. This higher number of target copies per mitochondrial genome presents an opportunity to increase eDNA assay sensitivity for these species. Therefore, we designed and evaluated new eDNA assays to target the extended repeat sections for both zebra and quagga mussels. These assays lower the limit of detection of genomic DNA by 100-fold for zebra mussels and 10-fold for quagga mussels. Additionally, these newly developed assays provided longer durations of detection during degradation mesocosm experiments and greater sensitivity for eDNA detection from water samples collected across western Lake Erie compared to standard assays targeting mitochondrial genes. This work illustrates how understanding the complete genomic structure of an organism can improve eDNA analysis.
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页数:13
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