Understanding How Conditions Affect Environmental DNA Analysis
News Jan 15, 2018 | Original Story from the Technical University of Munich.
Credit: A. Heddergott/ Technical University of Munich.
Environmental DNA analysis makes it possible to detect water organisms without having to capture them first. For the first time, a team at the Technical University of Munich (TUM) systematically investigated the effect of various environmental factors on environmental DNA analyses. By doing so, the researchers have made an important step towards the standardized application of this method for the monitoring of water bodies.
DNA that animals release into aquatic environment can be detected using molecular analysis. This detection method is called environmental DNA (eDNA) A simple water sample is sufficient for this technique. However, this method does not work equally well in all water bodies and is therefore very likely to be influenced by the respective conditions in each body of water. This may include organic and inorganic components in the water or the flow conditions. So far, there is almost no research on how strongly the individual factors affect the analysis procedure.
Dr. Bernhard Stoeckle and Dr. Sebastian Beggel, researchers at the Chair of Aquatic Systems Biology and the Unit of Molecular Zoology (Chair of Zoology) at TUM investigated the influence of a wide range of environmental factors on eDNA analysis in an experiment. The idea for the experiment was based on a previous eDNA study on a native mussel species.
SYSTEMATIC EXPERIMENTAL STRUCTURE
In a systematic laboratory setup, fish belonging to an invasive species — the round goby (Neogobius melanostomus) — were kept in aquaria in varying densities, under various flow conditions, with and without sediment, and were removed from the water after a defined period of time.
Subsequently, the researchers took water samples at regular intervals over a period of six days in order to be able to evaluate the efficiency of the eDNA analysis over time as well. In addition, the researchers added several substances, which could potentially hinder molecular analysis such as algae, humic substances, and inorganic suspended particles to the water, which are also found in natural ecosystems.
“That’s particularly important, otherwise we wouldn’t be able to apply the findings to eDNA studies in the field,” Bernhard Stoeckle explained. In order to find out which factors have the greatest influence, the researchers then compared the eDNA results of all water samples with each other.
EXTENT OF INFLUENCE OF FACTORS CHANGES OVER TIME
On the one hand, the evaluation of the experiment showed that, over its entire duration, the flow conditions, the existence or absence of sediment, and the fish density only had an effect on the analyses in combination with each other. On the other hand, it turned out that the extent of the influence of the factors changed greatly over time.
Of the inhibitors added, organic substances (humic substances) interfered with the analyses the most. They often entirely precluded the successful application of the method. DNA could only be detected in 41 percent of the samples examined. Algae also had a comparable effect, albeit less pronounced. “Our findings clearly demonstrate how important it is that environmental conditions are also taken into account when performing eDNA analyses in order to be able to correctly interpret the findings,” said Bernhard Stoeckle.
Based on the results of the experiment, it can be concluded that specific environmental conditions interfere greatly with environmental DNA experiments, in some cases making it difficult or even impossible to detect species.
This article has been republished from materials provided by the Technical University of Munich. Note: material may have been edited for length and content. For further information, please contact the cited source.
Bernhard C. Stoeckle, Sebastian Beggel, Alexander F. Cerwenka, Elena Motivans, Ralph Kuehn, Juergen Geist. A systematic approach to evaluate the influence of environmental conditions on eDNA detection success in aquatic ecosystems. PLOS ONE, 2017; 12 (12): e0189119 DOI: 10.1371/journal.pone.0189119.
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