Estimating fish population abundance by integrating quantitative data on environmental DNA and hydrodynamic modelling

Keiichi Fukaya; Hiroaki Murakami; Seokjin Yoon; Kenji Minami; Yutaka Osada; Satoshi Yamamoto; Reiji Masuda; Akihide Kasai; Kazushi Miyashita; Toshifumi Minamoto; Michio Kondoh

doi:10.1101/482489

Estimating fish population abundance by integrating quantitative data on environmental DNA and hydrodynamic modelling

Keiichi Fukaya, Hiroaki Murakami, Seokjin Yoon, Kenji Minami, Yutaka Osada, Satoshi Yamamoto, Reiji Masuda, Akihide Kasai, Kazushi Miyashita, Toshifumi Minamoto, Michio Kondoh

LIF - Ecological Developmental Adaptability Life Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

We propose a general framework of abundance estimation based on spatially replicated quantitative measurements of environmental DNA in which production, transport, and degradation of DNA are explicitly accounted for. Application to a Japanese jack mackerel (Trachurus japonicus) population in Maizuru Bay revealed that the method gives an estimate of population abundance comparable to that of a quantitative echo sounder method. These findings indicate the ability of environmental DNA to reliably reflect population abundance of aquatic macroorganisms and may oﬀer a new avenue for population monitoring based on the fast, cost-eﬀective, and non-invasive sampling of genetic information.

Original language	English
Journal	Unknown Journal
DOIs	https://doi.org/10.1101/482489
Publication status	Published - 2018 Nov 30

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Agricultural and Biological Sciences(all)
Immunology and Microbiology(all)
Neuroscience(all)
Pharmacology, Toxicology and Pharmaceutics(all)

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10.1101/482489

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Estimating fish population abundance by integrating quantitative data on environmental DNA and hydrodynamic modelling. / Fukaya, Keiichi; Murakami, Hiroaki; Yoon, Seokjin; Minami, Kenji; Osada, Yutaka; Yamamoto, Satoshi; Masuda, Reiji; Kasai, Akihide; Miyashita, Kazushi; Minamoto, Toshifumi; Kondoh, Michio.

In: Unknown Journal, 30.11.2018.

Research output: Contribution to journal › Article › peer-review

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abstract = "We propose a general framework of abundance estimation based on spatially replicated quantitative measurements of environmental DNA in which production, transport, and degradation of DNA are explicitly accounted for. Application to a Japanese jack mackerel (Trachurus japonicus) population in Maizuru Bay revealed that the method gives an estimate of population abundance comparable to that of a quantitative echo sounder method. These findings indicate the ability of environmental DNA to reliably reflect population abundance of aquatic macroorganisms and may oﬀer a new avenue for population monitoring based on the fast, cost-eﬀective, and non-invasive sampling of genetic information.",

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AU - Fukaya, Keiichi

AU - Murakami, Hiroaki

AU - Yoon, Seokjin

AU - Minami, Kenji

AU - Osada, Yutaka

AU - Yamamoto, Satoshi

AU - Masuda, Reiji

AU - Kasai, Akihide

AU - Miyashita, Kazushi

AU - Minamoto, Toshifumi

AU - Kondoh, Michio

N1 - Publisher Copyright: The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2018/11/30

Y1 - 2018/11/30

N2 - We propose a general framework of abundance estimation based on spatially replicated quantitative measurements of environmental DNA in which production, transport, and degradation of DNA are explicitly accounted for. Application to a Japanese jack mackerel (Trachurus japonicus) population in Maizuru Bay revealed that the method gives an estimate of population abundance comparable to that of a quantitative echo sounder method. These findings indicate the ability of environmental DNA to reliably reflect population abundance of aquatic macroorganisms and may oﬀer a new avenue for population monitoring based on the fast, cost-eﬀective, and non-invasive sampling of genetic information.

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