scholarly journals Airborne environmental DNA metabarcoding detects more diversity, with less sampling effort, than a traditional plant community survey

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mark D. Johnson ◽  
Mohamed Fokar ◽  
Robert D. Cox ◽  
Matthew A. Barnes

Abstract Background Airborne environmental DNA (eDNA) research is an emerging field that focuses on the detection of species from their genetic remnants in the air. The majority of studies into airborne eDNA of plants has until now either focused on single species detection, specifically only pollen, or human health impacts, with no previous studies surveying an entire plant community through metabarcoding. We therefore conducted an airborne eDNA metabarcoding survey and compared the results to a traditional plant community survey. Results Over the course of a year, we conducted two traditional transect-based visual plant surveys alongside an airborne eDNA sampling campaign on a short-grass rangeland. We found that airborne eDNA detected more species than the traditional surveying method, although the types of species detected varied based on the method used. Airborne eDNA detected more grasses and forbs with less showy flowers, while the traditional method detected fewer grasses but also detected rarer forbs with large showy flowers. Additionally, we found the airborne eDNA metabarcoding survey required less sampling effort in terms of the time needed to conduct a survey and was able to detect more invasive species than the traditional method. Conclusions Overall, we have demonstrated that airborne eDNA can act as a sensitive and efficient plant community surveying method. Airborne eDNA surveillance has the potential to revolutionize the way plant communities are monitored in general, track changes in plant communities due to climate change and disturbances, and assist with the monitoring of invasive and endangered species.

2021 ◽  
Author(s):  
Mark Johnson ◽  
Robert D Cox ◽  
Mohamed Fokar ◽  
Matthew A Barnes

Abstract BackgroundAirborne environmental DNA (eDNA) research is an emerging field that focuses on the detection of species from their genetic remnants in the air. The study of airborne eDNA of plants has until now focused on single species detection, with no previous studies examining the entire plant community through metabarcoding. We therefore conducted airborne eDNA metabarcoding and compared the results to a traditional plant community survey.ResultsOver the course of a year, we conducted two traditional transect-based visual plant surveys alongside a yearlong airborne eDNA sampling campaign on a short-grass rangeland. We found that airborne eDNA detected more species than the traditional surveying method, although the types of species detected varied based on the method used. Airborne eDNA detected more grasses and forbs with less showy flowers, while the traditional method detected fewer grasses but also detected rarer forbs with large showy flowers. Additionally, we found the airborne eDNA method to be more efficient in terms of the time required to conduct a survey and able to detect more invasive species than traditional methods.ConclusionsOverall, we have demonstrated for the first time that airborne eDNA can act as a sensitive and efficient plant community surveying method. Airborne eDNA surveillance has the potential to revolutionize the way plant communities are monitored in general, track changes in plant communities due to climate change and disturbances, and assist with the monitoring of invasive and endangered species.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Erin K. Grey ◽  
Louis Bernatchez ◽  
Phillip Cassey ◽  
Kristy Deiner ◽  
Marty Deveney ◽  
...  

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.


2017 ◽  
Vol 26 (21) ◽  
pp. 5872-5895 ◽  
Author(s):  
Kristy Deiner ◽  
Holly M. Bik ◽  
Elvira Mächler ◽  
Mathew Seymour ◽  
Anaïs Lacoursière‐Roussel ◽  
...  

Author(s):  
Pierre Taberlet ◽  
Aurélie Bonin ◽  
Lucie Zinger ◽  
Eric Coissac

Sampling is crucial to any ecological study. Chapter 4 “Sampling” aims at proving keys for a successful sampling campaign when using DNA metabarcoding. It first describes the origin, fate, and transport of environmental DNA in various environments, from freshwater streams to soils, and discusses the implication of the DNA cycle in the environment for answering ecological questions. The chapter presents guidelines to appropriately sample the target DNA population and maximize the representativeness of the retrieved ecological signal. Different sampling strategies at the level of the sampling area and sampling units are proposed for different environmental matrices and ecological questions. Sample storage methods maximizing the preservation of environmental DNA are also discussed.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Erin K. Grey ◽  
Louis Bernatchez ◽  
Phillip Cassey ◽  
Kristy Deiner ◽  
Marty Deveney ◽  
...  

2019 ◽  
Author(s):  
Coline Deveautour ◽  
Sally Power ◽  
Kirk Barnett ◽  
Raul Ochoa-Hueso ◽  
Suzanne Donn ◽  
...  

Climate models project overall a reduction in rainfall amounts and shifts in the timing of rainfall events in mid-latitudes and sub-tropical dry regions, which threatens the productivity and diversity of grasslands. Arbuscular mycorrhizal fungi may help plants to cope with expected changes but may also be impacted by changing rainfall, either via the direct effects of low soil moisture on survival and function or indirectly via changes in the plant community. In an Australian mesic grassland (former pasture) system, we characterised plant and arbuscular mycorrhizal (AM) fungal communities every six months for nearly four years to two altered rainfall regimes: i) ambient, ii) rainfall reduced by 50% relative to ambient over the entire year and iii) total summer rainfall exclusion. Using Illumina sequencing, we assessed the response of AM fungal communities sampled from contrasting rainfall treatments and evaluated whether variation in AM fungal communities was associated with variation in plant community richness and composition. We found that rainfall reduction influenced the fungal communities, with the nature of the response depending on the type of manipulation, but that consistent results were only observed after more than two years of rainfall manipulation. We observed significant co-associations between plant and AM fungal communities on multiple dates. Predictive co-correspondence analyses indicated more support for the hypothesis that fungal community composition influenced plant community composition than vice versa. However, we found no evidence that altered rainfall regimes were leading to distinct co-associations between plants and AM fungi. Overall, our results provide evidence that grassland plant communities are intricately tied to variation in AM fungal communities. However, in this system, plant responses to climate change may not be directly related to impacts of altered rainfall regimes on AM fungal communities. Our study shows that AM fungal communities respond to changes in rainfall but that this effect was not immediate. The AM fungal community may influence the composition of the plant community. However, our results suggest that plant responses to altered rainfall regimes at our site may not be resulting via changes in the AM fungal communities.


2009 ◽  
pp. 27-53
Author(s):  
A. Yu. Kudryavtsev

Diversity of plant communities in the nature reserve “Privolzhskaya Forest-Steppe”, Ostrovtsovsky area, is analyzed on the basis of the large-scale vegetation mapping data from 2000. The plant community classi­fication based on the Russian ecologic-phytocoenotic approach is carried out. 12 plant formations and 21 associations are distinguished according to dominant species and a combination of ecologic-phytocoenotic groups of species. A list of vegetation classification units as well as the characteristics of theshrub and woody communities are given in this paper.


Author(s):  
Yoshihisa AKAMATSU ◽  
Takayoshi TSUZUKI ◽  
Ryota YOKOYAMA ◽  
Yayoi FUNAHASHI ◽  
Munehiro OHTA ◽  
...  

Author(s):  
Pierre Taberlet ◽  
Aurélie Bonin ◽  
Lucie Zinger ◽  
Eric Coissac

Chapter 10 “Environmental DNA for functional diversity” discusses the potential of environmental DNA to assess functional diversity. It first focuses on DNA metabarcoding and discusses the extent to which this approach can be used and/or optimized to retrieve meaningful information on the functions of the target community. This knowledge usually involves coarsely defined functional groups (e.g., woody, leguminous, graminoid plants; shredders or decomposer soil organisms; pathogenicity or decomposition role of certain microorganisms). Chapter 10 then introduces metagenomics and metatranscriptomics approaches, their advantages, but also the challenges and solutions to appropriately sampling, sequencing these complex DNA/RNA populations. Chapter 10 finally presents several strategies and software to analyze metagenomes/metatranscriptomes, and discusses their pros and cons.


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