Using eDNA, sediment subfossils, and zooplankton nets to detect invasive spiny water flea (Bythotrephes longimanus)

Walsh, Jake R.; Spear, Michael J.; Shannon, Thomas P.; Krysan, Patrick J.; Zanden, M. Jake Vander

doi:10.1007/s10530-018-1862-5

Cited by 19 publications

(17 citation statements)

References 48 publications

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“…Water samples have constantly been used for eDNA surveys in freshwater ecosystems (Fernández et al., 2018; Olds et al., 2016; Walsh et al., 2019), and WS‐eDNA has been proposed as a powerful observational tool to improve the monitoring of status in aquatic communities and master the biodiversity at catchment level (Macher et al., 2018). As a repeatable, non‐destructive means of sampling, it greatly expands efficiencies of monitoring areas for rare or elusive species, such as some amphibians (Takahara et al., 2020), rare fishes (Brys et al., 2020) and aquatic mammals (Ma et al., 2016).…”

Section: Discussionmentioning

confidence: 99%

Environmental DNA of preservative ethanol performed better than water samples in detecting macroinvertebrate diversity using metabarcoding

Wang

Chen

Gao

et al. 2021

Diversity and Distributions

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Aim High‐throughput pipelines supported by eDNA metabarcoding have been applied in various freshwater ecosystems. Both eDNA in ethanol (EtOH) samples (ES‐eDNA) and in water samples (WS‐eDNA) can provide comprehensive classification lists with good taxonomic resolution and coverage for determining freshwater biodiversity and biomonitoring. But, the advantages of ES‐eDNA metabarcoding over WS‐eDNA metabarcoding remain unclear for routine assessments of diversity of benthic macroinvertebrates in streams. Location Qiantang River Basin, China. Methods Here, we compared ES‐eDNA and WS‐eDNA metabarcoding to evaluate the performance of two eDNA workflows in determining biodiversity and recovery of damaged macroinvertebrate communities. All eDNA samples from the environment and bulk specimen of macroinvertebrates were processed into available molecular operational taxonomic units (MOTUs) and identified to the level of genus. Results WS‐eDNA detected more exact sequence variants (ESVs) (formerly referred to as operational taxonomic units; OTUs), than did ES‐eDNA (2,866 vs. 2,406), but fewer macroinvertebrate ESVs (381 vs. 481). Among sampling sites, the two eDNA workflows exhibited relatively large dissimilarity on inferred community composition (p < .001). Furthermore, ES‐eDNA metabarcoding exhibited more consistent with morphological identification approaches than did WS‐eDNA metabarcoding (24.24% vs. 17.63%, p = .002), especially for species identified by traditional morphology (morphotaxa). Main conclusions Based on the attributes of ES‐eDNA and WS‐eDNA, it is suggested that ES‐eDNA metabarcoding performs better than does WS‐eDNA metabarcoding in detecting local biodiversity and was consistent with morphological results, while WS‐eDNA was more suitable for exploring biodiversity patterns on a broad scale, as it is the easiest and most convenient way to collect samples. Results of this study suggest ES‐eDNA metabarcoding could be an option in building molecular measurement biomonitoring programme based on EtOH sample used for preserving biological samples.

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Section: Discussionmentioning

confidence: 99%

Environmental DNA of preservative ethanol performed better than water samples in detecting macroinvertebrate diversity using metabarcoding

Wang

Chen

Gao

et al. 2021

Diversity and Distributions

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“…Secchi depth, water temperature, nutrient (total phosphorus), and zooplankton ( D. galeata mendotae , D. pulicaria , and Bythotrephes ) data for Lake Mendota and Lake Monona between 1980 and 2017 were obtained from the North Temperate Lakes Long Term Ecological Research (NTL‐LTER; https://lter.limnology.wisc.edu) program database (Lathrop 2000; North Temperate Lakes 2019 a , b , c ; Walsh and Vander Zanden 2019). The monitoring of Lake Mendota and Lake Monona was conducted by the University of Wisconsin‐Madison Center for Limnology and the Wisconsin Department of Natural Resources.…”

Section: Methodsmentioning

confidence: 99%

Climate and food web effects on the spring clear‐water phase in two north‐temperate eutrophic lakes

Matsuzaki

Lathrop

Carpenter

et al. 2020

Limnology & Oceanography

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Although climate change has shifted the phenological timing of plankton in lakes, few studies have explicitly addressed the relative contributions of climate change and other factors, including planktivory and nutrient availability. The spring clear-water phase is a period of marked reduction in algal biomass and increased water transparency observed in many lakes. Here, we quantified the phenological patterns in the start date, maximum date, duration, and magnitude of the clear-water phase over 38 yr in Lakes Mendota and Monona, and examined the effects of water temperature, total phosphorus, and food web structure (proportion of large-bodied Daphnia pulicaria and density of invasive Bythotrephes) and interactions between temperature and other predictors on these clear-water phase metrics. We found that climate and food web structure affected the clear-water phase, but the effects differed among the metrics. Higher water temperature led to earlier clear-water phase start dates and maximum dates in both lakes. The proportion of D. pulicaria affected all clear-water phase metrics in both lakes. When D. pulicaria proportion was higher, the clear-water phase occurred earlier, lasted longer, and the water was clearer. Moreover, high Bythotrephes density delayed clear-water phase start dates (both lakes), and decreased clear-water phase duration (Lake Mendota) in the following year. These results suggest that variation in food web structure changes the full phenological dynamics of the clear-water phase, while variation in climate condition affects clear-water phase timing only. Our findings highlight the importance of large-bodied grazers for managing water quality under climate change.

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“…Bythotrephes populations in these four lakes share similar seasonal and long‐term population dynamics that, in the context of our results here, might inform our understanding of Bythotrephes response to climate change. In each of these lakes, population densities plummet in mid‐summer as surface water temperatures warm to exceed Bythotrephes thermal optimum in late July and early August, and recover to high densities in fall as temperatures cool (Jodie Hirsch, MNDNR, personal communication ; Walsh et al 2016 b , 2019). These lakes were previously believed to be thermally unsuitable for Bythotrephes (Kerfoot et al 2011), but may now represent an important thermal regime characterized by hot, unfavorable summers paired with warmer or longer favorable fall conditions that allow Bythotrephes to persist in otherwise unfavorable climates (e.g., southwestern lakes in Fig.…”

Section: Discussionmentioning

confidence: 99%

Comparing models using air and water temperature to forecast an aquatic invasive species response to climate change

et al. 2020

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Understanding invasive species spread and projecting how distributions will respond to climate change is a central task for ecologists. Typically, current and projected air temperatures are used to forecast future distributions of invasive species based on climate matching in an ecological niche modeling approach. While this approach was originally developed for terrestrial species, it has also been widely applied to aquatic species even though aquatic species do not experience air temperatures directly. In the case of lakes, species respond to lake thermal regimes, which reflect the interaction of climate and lake attributes such as depth, size, and clarity. The result is that adjacent waterbodies can differ notably in thermal regime. Given these obvious limitations of modeling aquatic species distributions using climate data, we take advantage of recent advances in simulating lake thermal regimes to model the distributions of invasive spiny water flea (Bythotrephes cederströmii) for current and projected future climates in the upper Midwest of the USA. We compared predictions and future projections from models based on modeled air temperatures with models based on modeled water temperature. All models predicted that the number of suitable lakes in the region will decrease with climate change. Models based on air and water temperature differed dramatically in the extent of this decrease. The air temperature model predicted 89% of study lakes to be suitable, with suitability declining dramatically in the late century with climate warming to just a single suitable lake. Lake suitability predictions from the water temperature model declined to a much lesser degree with warming (42% of lakes were predicted to be suitable, declining to 19% in the late century) and were more spatially independent. Our results expose the limitations of using air temperatures to model habitat suitability for aquatic species, and our study further highlights the importance of understanding lake‐specific responses to climate when assessing aquatic species responses to climate change. While we project a contraction in the potential range of Bythotrephes with warming in the study region, we anticipate that Bythotrephes will likely continue to expand into new lakes that will remain suitable in the following decades.

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Using eDNA, sediment subfossils, and zooplankton nets to detect invasive spiny water flea (Bythotrephes longimanus)

Cited by 19 publications

References 48 publications

Environmental DNA of preservative ethanol performed better than water samples in detecting macroinvertebrate diversity using metabarcoding

Environmental DNA of preservative ethanol performed better than water samples in detecting macroinvertebrate diversity using metabarcoding

Climate and food web effects on the spring clear‐water phase in two north‐temperate eutrophic lakes

Comparing models using air and water temperature to forecast an aquatic invasive species response to climate change

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