2020
DOI: 10.1371/journal.pone.0231127
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Evaluation of fish biodiversity in estuaries using environmental DNA metabarcoding

Abstract: Biodiversity is an important parameter for the evaluation of the extant environmental conditions. Here, we used environmental DNA (eDNA) metabarcoding to investigate fish biodiversity in five different estuaries in Japan. Water samples for eDNA were collected from river mouths and adjacent coastal areas of two estuaries with high degrees of development (the Tama and Miya Rivers) and three estuaries with relatively low degrees of development (the Aka, Takatsu, and Sendai Rivers). A total of 182 fish species acr… Show more

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Cited by 40 publications
(36 citation statements)
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“…In this context, a set of universal PCR primers for metabarcoding eDNA from fishes has been developed targeting a length of around 163-185 bp of the 12S rRNA gene region (MiFish; Miya et al, 2015). This widely used primer set has been pivotal in describing fish communities on a truly global scale (Miya et al, 2020) and has also provided meaningful information for species-rich rivers (Ahn et al, 2020). Despite the efforts made by global barcoding initiatives toward the development of more comprehensive reference databases, in most circumstances these databases remain far from complete, especially for the currently commonly used 12S mitochondrial gene region (Doble et al, 2020;Sales et al, 2020;Weigand et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In this context, a set of universal PCR primers for metabarcoding eDNA from fishes has been developed targeting a length of around 163-185 bp of the 12S rRNA gene region (MiFish; Miya et al, 2015). This widely used primer set has been pivotal in describing fish communities on a truly global scale (Miya et al, 2020) and has also provided meaningful information for species-rich rivers (Ahn et al, 2020). Despite the efforts made by global barcoding initiatives toward the development of more comprehensive reference databases, in most circumstances these databases remain far from complete, especially for the currently commonly used 12S mitochondrial gene region (Doble et al, 2020;Sales et al, 2020;Weigand et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, the dynamic nature of riverine systems presents a suite of conditions that are thought to influence eDNA transport and persistence, and while studies have attempted to understand the abiotic factors affecting eDNA detection in lotic systems (e.g., Barnes et al, 2020; Jerde et al, 2016; Shogren et al, 2018) there remains a higher degree of uncertainty regarding inferred species detections using eDNA (Evans & Lamberti, 2018; Thalinger et al, 2020). There are relatively few studies focusing explicitly on estuaries (e.g., Ahn et al, 2020; Stoeckle et al, 2017) which face a suite of challenges including water turbidity during the eDNA collection process, clogging filters, and impeding DNA extraction (Sanches & Schreier, 2020; K. E. Williams et al, 2017), as well as inhibitors to PCR such as humic acid from vegetation decomposition, and sewage by products (Schrader et al, 2012). Due to the variable abiotic conditions of riverine habitats, there are few lotic eDNA studies spanning environmental gradients of salinity (but see Sales et al (2021) and García‐Machado et al (2021)).…”
Section: Introductionmentioning
confidence: 99%
“…In this context, a set of universal PCR primers for metabarcoding eDNA from fishes has been developed targeting a length of around 163-185 bp of the 12S rRNA gene region (MiFish; Miya et al, 2015). This widely used primer set has been pivotal in describing fish communities on a truly global scale (Miya, Gotoh & Sado, 2020), and has also provided meaningful information for species-rich rivers (Ahn et al, 2020). Despite the efforts made by global barcoding initiatives towards the development of more comprehensive reference databases, in most circumstances these databases remain far from complete, especially for the currently commonly used 12S mitochondrial gene region (Doble et al, 2020;Sales et al, 2020;Weigand et al, 2019).…”
Section: Introductionmentioning
confidence: 99%