Literature DB >> 35356708

Early detection monitoring for non-indigenous fishes; comparison of survey approaches during two species introductions in a Great Lakes port.

Greg S Peterson1, Joel C Hoffman1, Anett S Trebitz1, Chelsea I Hatzenbuhler2, Jared T Myers3, Jason E Ross3, Sara L Okum4, Erik M Pilgrim5.   

Abstract

Assessing relative performance of different sampling methods used for early detection monitoring (EDM) is a critical step in understanding the likelihood of detecting new non-indigenous species (NIS) in an environment of interest. EDM performance metrics are typically based on the probability of detecting established NIS or rare indigenous species; however, detection probability estimates for these proxies may not accurately reflect survey effectiveness for newly introduced NIS. We used data from three different EDM survey approaches that varied by targeted life-stage (adult-juvenile versus ichthyoplankton), media (physical fish versus environmental DNA), and taxonomic method (morphology-based versus DNA-based taxonomy) to explore relative detection sensitivity for recently introduced white bass (Morone chrysops) and gizzard shad (Dorosoma cepedianum) in the Port of Duluth-Superior, a NIS introduction hot spot within the Laurentian Great Lakes. Detection efficiency, measured by the effort (number of samples) required to achieve 95% probability of detection, differed by EDM approach and species. Also, the relative sensitivity (detection rate) of each survey approach differed by species. For both species, detection in surveys using DNA-based taxonomy was generally as good or better than the adult-juvenile survey using morphology-based taxonomy. While both species appear to have been detected at early stages of invasion, white bass were likely present up to 5 years prior to initial detection, whereas gizzard shad may have been detected in the first year of introduction. We conclude that using complimentary sampling methods can help to balance the strengths and weaknesses of each approach and provide more reliable early detection of new invaders.

Entities:  

Keywords:  DNA metabarcoding; Early detection; Ichthyoplankton; Monitoring; Non-indigenous fishes; eDNA

Year:  2021        PMID: 35356708      PMCID: PMC8958937          DOI: 10.1007/s10530-021-02655-9

Source DB:  PubMed          Journal:  Biol Invasions        ISSN: 1387-3547            Impact factor:   3.133


  16 in total

1.  Search and clustering orders of magnitude faster than BLAST.

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2.  How useful are port surveys focused on target pest identification for exotic species management?

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Authors:  James J Kozich; Sarah L Westcott; Nielson T Baxter; Sarah K Highlander; Patrick D Schloss
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Journal:  Environ Sci Technol       Date:  2011-03-09       Impact factor: 9.028

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Authors:  Ida Baerholm Schnell; Kristine Bohmann; M Thomas P Gilbert
Journal:  Mol Ecol Resour       Date:  2015-03-20       Impact factor: 7.090

Review 6.  Early detection monitoring for aquatic non-indigenous species: Optimizing surveillance, incorporating advanced technologies, and identifying research needs.

Authors:  Anett S Trebitz; Joel C Hoffman; John A Darling; Erik M Pilgrim; John R Kelly; Emily A Brown; W Lindsay Chadderton; Scott P Egan; Erin K Grey; Syed A Hashsham; Katy E Klymus; Andrew R Mahon; Jeffrey L Ram; Martin T Schultz; Carol A Stepien; James C Schardt
Journal:  J Environ Manage       Date:  2017-07-22       Impact factor: 6.789

7.  Invasion genetics of the Eurasian round goby in North America: tracing sources and spread patterns.

Authors:  Joshua E Brown; Carol A Stepien
Journal:  Mol Ecol       Date:  2009-01       Impact factor: 6.185

8.  Sensitivity and accuracy of high-throughput metabarcoding methods for early detection of invasive fish species.

Authors:  Chelsea Hatzenbuhler; John R Kelly; John Martinson; Sara Okum; Erik Pilgrim
Journal:  Sci Rep       Date:  2017-04-13       Impact factor: 4.379

9.  The room temperature preservation of filtered environmental DNA samples and assimilation into a phenol-chloroform-isoamyl alcohol DNA extraction.

Authors:  Mark A Renshaw; Brett P Olds; Christopher L Jerde; Margaret M McVeigh; David M Lodge
Journal:  Mol Ecol Resour       Date:  2014-06-11       Impact factor: 7.090

10.  Estimating species richness using environmental DNA.

Authors:  Brett P Olds; Christopher L Jerde; Mark A Renshaw; Yiyuan Li; Nathan T Evans; Cameron R Turner; Kristy Deiner; Andrew R Mahon; Michael A Brueseke; Patrick D Shirey; Michael E Pfrender; David M Lodge; Gary A Lamberti
Journal:  Ecol Evol       Date:  2016-05-30       Impact factor: 2.912

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