scholarly journals Droplet digital PCR applied to environmental DNA, a promising method to estimate fish population abundance from humic‐rich aquatic ecosystems

2020 ◽  
Author(s):  
Eric Capo ◽  
Göran Spong ◽  
Shuntaro Koizumi ◽  
Isolde Puts ◽  
Fredrik Olajos ◽  
...  
2021 ◽  
Vol 4 ◽  
Author(s):  
Dora Pavić ◽  
Anđela Miljanović ◽  
Uršula Prosenc-Zmrzljak ◽  
Rok Košir ◽  
Dorotea Grbin ◽  
...  

Oomycetes are fungal-like microorganisms parasitic towards a large number of plant and animal species. Genera from order Saprolegniales, such as Saprolegnia and Aphanomyces, cause devastating infections of freshwater animals. Saprolegnia parasitica is a widely distributed oomycete pathogen that causes saprolegniosis, a disease responsible for significant economic losses in aquaculture, as well as declines of natural populations of fish and other freshwater organisms. Despite its negative impact, no monitoring protocol for S. parasitica has been established to date. Thus, we aimed to develop a droplet digital PCR (ddPCR) assay for the detection and quantification of S. parasitica in environmental DNA samples. Saprolegnia parasitica-specific primers were designed to target internal transcribed spacer region 2 (ITS 2), based on the alignment of ITS sequences of S. parasitica and a range of Saprolegnia spp., as well as other oomycetes. The specificity of primers was tested using genomic DNA of S. parasitica (as positive control) and DNA of non–S. parasitica oomycete isolates, as well as trout/crayfish DNA (as negative control). The primers specifically amplified a segment of the ITS region of oomycete pathogen S. parasitica, while no amplification (i.e. no positive droplets) was obtained for closely related Saprolegnia spp. (e.g. Saprolegnia sp. 1 and S. ferax) and other more distantly related oomycetes. Next, the limit of detection (LOD) of the assay was established by using serial dilutions of the S. parasitica genomic DNA. The determined sensitivity of the assay was high: LOD was 15 fg of pathogen’s genomic DNA per µL of the reaction mixture. Assay performance was further assessed with environmental DNA samples isolated from water from the trout farms and natural environments, as well as (ii) biofilm from the host surface (swab samples). Water samples were collected from 21 different locations in Croatia, while swab samples were collected from S. parasitica host/carrier species: (i) skin and eggs of the rainbow trout (Oncorhynchus mykiss Walbaum, 1792) and brown trout (Salmo trutta Linnaeus, 1758), and (ii) cuticle of signal crayfish (Pacifastacus leniusculus Dana, 1852) and narrow clawed crayfish (Pontastacus leptodactylus Eschscholtz, 1823). Samples were classified into agent levels A0 to A6, depending of the number of S. parasitica ITS copies per ng of total DNA. Saprolegnia parasitica was detected in 76 % of water samples (16/21) and the range of pathogen’s ITS copies in positive samples was between 0.02 and 14 copies/ng of total DNA (agent levels A1 to A3). Regarding the swab samples, S. parasitica load was significantly higher in diseased trout than in those with healthy appearance: 9375 vs 3.28 S. parasitica copies/ng of total swab DNA (average agent level A6 vs. A2, respectively). Despite the fact that none of the sampled crayfish had signs of infection, the pathogen was detected in all tested cuticle swabs. Swabs of P. leniusculus, a known S. parasitica host, had significantly higher S. parasitica load than swabs of P. leptodactylus, S. parasitica carrier: 390 vs 83 S. parasitica copies/ng (agent level A5 vs. A4, respectively). In conclusion, our results demonstrate the applicability of the newly developed ddPCR assay in monitoring and early detection of S. parasitica in aquaculture facilities and natural freshwater environments. This would help in a better understanding of S. parasitica ecology and its effects on the host populations.


2018 ◽  
Author(s):  
Keiichi Fukaya ◽  
Hiroaki Murakami ◽  
Seokjin Yoon ◽  
Kenji Minami ◽  
Yutaka Osada ◽  
...  

AbstractWe 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.


PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0122763 ◽  
Author(s):  
Hideyuki Doi ◽  
Kimiko Uchii ◽  
Teruhiko Takahara ◽  
Saeko Matsuhashi ◽  
Hiroki Yamanaka ◽  
...  

2021 ◽  
Author(s):  
Doreen Yu-Tuan Huang ◽  
Richard Bindler ◽  
Christian Bigler ◽  
Sofia Ninnes ◽  
Fredrik Olajos ◽  
...  

Abstract Sedimentary environmental DNA (sed-eDNA) coupled with metabarcoding is increasingly exploited for ecological studies, but application of the method to resolve fish dynamics in lakes still needs better validation. This study (1) evaluated the sed-eDNA yields from the commonly used DNeasy PowerSoil DNA Kit from mineral-rich and organic-rich sediments and (2) examined the viability of fish sed-eDNA recovery and detection in surface sediment samples from 13 Swedish mountain lakes, with organic contents of 18–52%, by using conventional PCR and droplet digital PCR. Based on concurrent fish-population surveys these lakes contain arctic char and brown trout. We show that, compared to other specifically designed lysis buffers, the DNeasy PowerSoil DNA Kit is less effective to recover DNA from organic-rich sediments and almost 50% of the extracted DNA was lost during purification steps. The amplification of fish sed-eDNA using conventional PCR with teleo primers failed to detect positive signals; whereas ddPCR assays enabled quantification of amplifiable DNA in all the extracts. However, further molecular cloning of the positive ddPCR droplets from one sediment sample revealed amplified sequences of unidentified origin that cannot be aligned well to fish. Thus the performance of the teleo primers for quantification of fish sed-eDNA detection requires further examination. For detection of fish sed-eDNA for ecological studies, we suggest that DNA extraction methods and primers should be carefully selected and the performance of ddPCR to detect DNA at low quantities needs to be further scrutinized to circumvent the pitfalls of false positives.


2020 ◽  
Author(s):  
Keiichi Fukaya ◽  
Hiroaki Murakami ◽  
Seokjin Yoon ◽  
Kenji Minami ◽  
Yutaka Osada ◽  
...  

2018 ◽  
Vol 1 ◽  
Author(s):  
Špela Gorički ◽  
Primož Presetnik ◽  
Uršula Prosenc-Zmrzljak ◽  
Matej Blatnik ◽  
Tajda Gredar ◽  
...  

Recent records of Proteus anguinus outside its historically known range (Gorički et al. 2017), discovered through detection of its DNA dissolved in groundwater (environmental DNA or eDNA), mark the beginning of a new era in the study and conservation of cryptic subterranean biodiversity. An upgraded technology, droplet digital PCR (ddPCR), initially developed for studies of gene expression, detection of genetically modified organisms and in medical diagnostics, is being tested for improved detection of the much smaller and rare stygobiont, the cave clam Congeria jalzici. In parallel to eDNA assay development for various stygobiotic species of the Dinaric Karst, a groundwater-sample library is being created. The samples will be available for future analysis of their species composition and will also serve as a source of information on any changes in species distribution over time. In another line of eDNA research, the utility of ddPCR for direct quantification of eDNA molecules in groundwater is being explored by using the large, accessible and well-characterized (Zakšek and Trontelj 2017) natural Proteus population in the Planina Cave (Slovenia) as a model. The eDNA methodology may in the future be applied in estimation and monitoring of Proteus population sizes without having to see, mark or otherwise disturb the animals themselves.


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