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Evaluating non-detection risk associ...

Hatzenbuhler, Chelsea L.

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Evaluating non-detection risk associated with high-throughput metabarcoding methods for early detection of aquatic invasive species.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evaluating non-detection risk associated with high-throughput metabarcoding methods for early detection of aquatic invasive species./
Author:	Hatzenbuhler, Chelsea L.
Description:	98 p.
Notes:	Source: Masters Abstracts International, Volume: 55-01.
Contained By:	Masters Abstracts International55-01(E).
Subject:	Water resources management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1601455
ISBN:	9781339130392

Evaluating non-detection risk associated with high-throughput metabarcoding methods for early detection of aquatic invasive species.
Hatzenbuhler, Chelsea L.

Evaluating non-detection risk associated with high-throughput metabarcoding methods for early detection of aquatic invasive species. - 98 p.

Source: Masters Abstracts International, Volume: 55-01.

Thesis (M.S.)--University of Minnesota, 2015.

Given the costs associated with traditional taxonomic identification of many aquatic organisms, metabarcoding analyses have gained recognition as potentially powerful tools for early detection of aquatic invasive species. A practical early detection strategy, however, demands balancing detection costs with an acceptable level of non-detection risk. Here we evaluated non-detection risk associated with some standard metabarcoding methods by constructing artificial community samples with known species richness and relative biomass abundance composed of fish tissue from multiple "non-target" species and spiked with various proportions "target" tissue from a single species not already present in the sample. Our main findings provided convincing experimental evidence that we can detect the genetic signal produced by target species comprising as low as 0.02% - 1% of total sample biomass and demonstrated the lowest limit of detection observed for each target species varied between experiments.

ISBN: 9781339130392Subjects--Topical Terms:

794747
Water resources management.

Evaluating non-detection risk associated with high-throughput metabarcoding methods for early detection of aquatic invasive species.
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100 1 $a Hatzenbuhler, Chelsea L. $3 3190111
245 1 0 $a Evaluating non-detection risk associated with high-throughput metabarcoding methods for early detection of aquatic invasive species.
300 $a 98 p.
500 $a Source: Masters Abstracts International, Volume: 55-01.
500 $a Adviser: John R. Kelly.
502 $a Thesis (M.S.)--University of Minnesota, 2015.
520 $a Given the costs associated with traditional taxonomic identification of many aquatic organisms, metabarcoding analyses have gained recognition as potentially powerful tools for early detection of aquatic invasive species. A practical early detection strategy, however, demands balancing detection costs with an acceptable level of non-detection risk. Here we evaluated non-detection risk associated with some standard metabarcoding methods by constructing artificial community samples with known species richness and relative biomass abundance composed of fish tissue from multiple "non-target" species and spiked with various proportions "target" tissue from a single species not already present in the sample. Our main findings provided convincing experimental evidence that we can detect the genetic signal produced by target species comprising as low as 0.02% - 1% of total sample biomass and demonstrated the lowest limit of detection observed for each target species varied between experiments.
590 $a School code: 0130.
650 4 $a Water resources management. $3 794747
650 4 $a Molecular biology. $3 517296
650 4 $a Bioinformatics. $3 553671
650 4 $a Aquatic sciences. $3 3174300
690 $a 0595
690 $a 0307
690 $a 0715
690 $a 0792
710 2 $a University of Minnesota. $b Integrated Biosciences. $3 3190112
773 0 $t Masters Abstracts International $g 55-01(E).
790 $a 0130
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1601455