scholarly journals Coral monitoring in northwest Australia with environmental DNA metabarcoding using a curated reference database for optimized detection

2021 ◽  
Author(s):  
Laurence Dugal ◽  
Luke Thomas ◽  
Shaun P. Wilkinson ◽  
Zoe T. Richards ◽  
Jason B. Alexander ◽  
...  
Keyword(s):  
Environmental Dna ◽  
Reference Database ◽  
Dna Metabarcoding ◽  
Coral Monitoring ◽  
Northwest Australia

COMPARATIVE STUDY BETWEEN FISH COLLECTION BY NATIONAL CENSUS ON RIVER ENVIRONMENT AND ENVIRONMENTAL DNA METABARCODING

2018 ◽  
Vol 74 (5) ◽  
pp. I_415-I_420 ◽  
Author(s):  
Yoshihisa AKAMATSU ◽  
Takayoshi TSUZUKI ◽  
Ryota YOKOYAMA ◽  
Yayoi FUNAHASHI ◽  
Munehiro OHTA ◽  
...  
Keyword(s):  
Comparative Study ◽  
Environmental Dna ◽  
Dna Metabarcoding ◽  
Fish Collection

Environmental DNA for functional diversity

2018 ◽  
Author(s):  
Pierre Taberlet ◽  
Aurélie Bonin ◽  
Lucie Zinger ◽  
Eric Coissac
Keyword(s):  
Functional Groups ◽  
Functional Diversity ◽  
Environmental Dna ◽  
Soil Organisms ◽  
Meaningful Information ◽  
Dna Metabarcoding ◽  
Pros And Cons ◽  
Target Community

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.

Environmental DNA

2018 ◽  
Author(s):  
Pierre Taberlet ◽  
Aurélie Bonin ◽  
Lucie Zinger ◽  
Eric Coissac
Keyword(s):  
Graduate Students ◽  
Feeding Habits ◽  
Environmental Dna ◽  
Research Field ◽  
Background Information ◽  
Ecological Processes ◽  
Biodiversity Research ◽  
Dna Metabarcoding ◽  
Standard Information

Environmental DNA (eDNA), i.e. DNA released in the environment by any living form, represents a formidable opportunity to gather high-throughput and standard information on the distribution or feeding habits of species. It has therefore great potential for applications in ecology and biodiversity management. However, this research field is fast-moving, involves different areas of expertise and currently lacks standard approaches, which calls for an up-to-date and comprehensive synthesis. Environmental DNA for biodiversity research and monitoring covers current methods based on eDNA, with a particular focus on “eDNA metabarcoding”. Intended for scientists and managers, it provides the background information to allow the design of sound experiments. It revisits all steps necessary to produce high-quality metabarcoding data such as sampling, metabarcode design, optimization of PCR and sequencing protocols, as well as analysis of large sequencing datasets. All these different steps are presented by discussing the potential and current challenges of eDNA-based approaches to infer parameters on biodiversity or ecological processes. The last chapters of this book review how DNA metabarcoding has been used so far to unravel novel patterns of diversity in space and time, to detect particular species, and to answer new ecological questions in various ecosystems and for various organisms. Environmental DNA for biodiversity research and monitoring constitutes an essential reading for all graduate students, researchers and practitioners who do not have a strong background in molecular genetics and who are willing to use eDNA approaches in ecology and biomonitoring.

Environmental DNA metabarcoding as a useful tool for evaluating terrestrial mammal diversity in tropical forests

2021 ◽  
Author(s):  
José Luis Mena ◽  
Hiromi Yagui ◽  
Vania Tejeda ◽  
Emilio Bonifaz ◽  
Eva Bellemain ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Environmental Dna ◽  
Terrestrial Mammal ◽  
Dna Metabarcoding ◽  
Mammal Diversity

scholarly journals Corrigendum to: PEMA: a flexible pipeline for environmental DNA metabarcoding analysis of the 16S/18S ribosomal RNA, ITS, and COI marker genes

GigaScience ◽  
2020 ◽  
Vol 9 (12) ◽  
Author(s):  
Haris Zafeiropoulos ◽  
Ha Quoc Viet ◽  
Katerina Vasileiadou ◽  
Antonis Potirakis ◽  
Christos Arvanitidis ◽  
...  
Keyword(s):  
Ribosomal Rna ◽  
Environmental Dna ◽  
Marker Genes ◽  
18S Ribosomal Rna ◽  
Dna Metabarcoding

scholarly journals Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats

2021 ◽  
Vol 126 ◽  
pp. 107698
Author(s):  
Petr Blabolil ◽  
Lynsey R. Harper ◽  
Štěpánka Říčanová ◽  
Graham Sellers ◽  
Cristina Di Muri ◽  
...  
Keyword(s):  
Fish Communities ◽  
Environmental Dna ◽  
Environmental Correlates ◽  
Dna Metabarcoding ◽  
Freshwater Habitats

scholarly journals Environmental DNA diffusion of reef fishes along a distance gradient from four isolated islands of the Western Indian Ocean

2021 ◽  
Vol 4 ◽  
Author(s):  
Mélissa Jaquier ◽  
Camille Albouy ◽  
Wilhelmine Bach ◽  
Conor Waldock ◽  
Viriginie Marques ◽  
...  
Keyword(s):  
Distance Sampling ◽  
Environmental Dna ◽  
Western Indian Ocean ◽  
Reef Fishes ◽  
Species Distribution Modelling ◽  
Model Systems ◽  
Reference Database ◽  
Developmental Phase ◽  
Marine Environments ◽  
Habitat Types

Islands have traditionally served as model systems to study ecological and evolutionary processes (Warren et al. 2015) and could also represent a relevant system to study environmental DNA (eDNA). Isolated island reefs that are affected by climatic threats would particularly benefit from cost- and time-efficient biodiversity surveys to set priorities for their conservation. Among time efficiency methods, eDNA has emerged as a novel molecular metabarcoding technique to detect biodiversity from simple environmental samples even in remote marine environments. However, eDNA monitoring techniques for marine environments are at a developmental phase, with a few remaining unknowns related to DNA residence time and movement. In particular, the redistribution of eDNA, via ocean currents, could blur the composition signal and its association with local environmental conditions (Goldberg et al. 2016). Here, we investigated the detection variation of eDNA along a distance gradient across four islands in the French Scattered Islands. We collected 30 L of surface water per filter at an increasing distance from the islands reefs (0m, 250m, 500m, 750m). Using a metabarcoding protocol, we used the teleo primers to target a fraction of 12S mitochondrial DNA to detect Actinopterygii and Elasmobranchii. We then applied a sequence clustering approach to generate Molecular Taxonomic Units (MOTUs), which were assigned to a taxonomic group using a reference database. By assigning eDNA sequences to species using a public reference database, we classified species according to their preferred habitat types between benthic/demersal and pelagic. Our results show no significant relationship between distance and MOTUs richness for both habitat types. By using a Joint Species Distribution Modelling approach (JSDM, Hierarchical Modelling of Species Communities), we retained the multidimensional information captured by eDNA and detect species- and family-specific responses to distance (Fig. 1). We showed that benthic MOTUs were found in closer proximity to the reef, while typical pelagic MOTUs were found at greater distances from the reef. Hence, MOTU-level analyses coupled with JSDM were more informative that when aggregating it into coarser richness. Altogether, our eDNA distance sampling gradient detected an ecological signal of habitat selection by fish species, which suggest that eDNA could help understand the behavior of species and their distribution in marine environments at a fine spatial scale.

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