Results 101 to 110 of about 40,506 (282)

Metabarcoding From Microbes to Mammals: Comprehensive Bioassessment on a Global Scale

open access: yesFrontiers in Ecology and Evolution, 2020
Global biodiversity loss is unprecedented, and threats to existing biodiversity are growing. Given pervasive global change, a major challenge facing resource managers is a lack of scalable tools to rapidly and consistently measure Earth's biodiversity ...
Zacchaeus G. Compson   +5 more
doaj   +1 more source

Implementing and Innovating Marine Monitoring Approaches for Assessing Marine Environmental Status [PDF]

open access: yes, 2017
Danovaro, Roberto ... et al.-- 25 pages, 9 figures, 2 tablesMarine environmental monitoring has tended to focus on site-specific methods of investigation.
Borja, Ángel   +5 more
core   +1 more source

The MIEM guidelines: Minimum information for reporting of environmental metabarcoding data

open access: yesMetabarcoding and Metagenomics
Environmental DNA (eDNA) and RNA (eRNA) metabarcoding has become a popular tool for assessing biodiversity from environmental samples, but inconsistent documentation of methods, data and metadata makes results difficult to reproduce and synthesise.
K. Klymus   +21 more
semanticscholar   +1 more source

Cross-ocean patterns and processes in fish biodiversity on coral reefs through the lens of eDNA metabarcoding

open access: yesProceedings of the Royal Society B, 2022
Increasing speed and magnitude of global change threaten the world's biodiversity and particularly coral reef fishes. A better understanding of large-scale patterns and processes on coral reefs is essential to prevent fish biodiversity decline but it ...
Laetitia Mathon   +25 more
semanticscholar   +1 more source

A systematic review evaluating the performance of eDNA methods relative to conventional methods for biodiversity monitoring

open access: yesEcography, EarlyView.
The rapid adoption of environmental DNA (eDNA) methods has drastically changed biodiversity monitoring efforts. It is often claimed that eDNA methods are more sensitive and efficient than conventional biodiversity monitoring methods, but it is often unclear what metrics support this claim.
Nicholas J. Iacaruso   +4 more
wiley   +1 more source

Environmental DNA Metabarcoding Detects Predators at Higher Rates Than Electrofishing

open access: yesEnvironmental DNA
There are numerous downsides and risks associated with electrofishing; hence, environmental DNA (eDNA) metabarcoding is becoming increasingly common in aquatic ecological studies.
Eric A. Bonk   +3 more
doaj   +1 more source

Soil microbial communities in restored and unrestored coastal dune ecosystems in California [PDF]

open access: yes, 2020
Most restoration projects involving invasive plant eradication tend to focus on plant removal with little consideration given to how these invasives change soil microbial communities.
Barberán, A   +4 more
core  

APSCALE: advanced pipeline for simple yet comprehensive analyses of DNA metabarcoding data

open access: yesBioinform., 2022
Summary DNA metabarcoding is an emerging approach to assess and monitor biodiversity worldwide and consequently the number and size of data sets increases exponentially.
Dominik Buchner   +2 more
semanticscholar   +1 more source

Ichthyoplankton DNA metabarcoding: Challenges and perspectives [PDF]

open access: yesMolecular Ecology, 2021
DNA metabarcoding has been widely used to access and monitor species. However, several challenges remain open for its mainstream application in ecological studies, particularly when dealing with a quantitative approach. In a From the Cover article in this issue of Molecular Ecology, Mariac et al. (2021) report species‐level ichthyoplankton dynamics for
openaire   +2 more sources

Diversity and random forest models of oral microbiomes in periodontal health using publicly available data

open access: yesJournal of Periodontology, EarlyView.
Abstract Background Evidence on the 16S metabarcoding of supragingival, subgingival, and salivary microbiomes in periodontal health remains limited. We aimed to analyze the diversity and potential of machine‐learning models of supragingival, subgingival, and salivary microbiomes in periodontal health. Methods A total of 848 samples (supragingival = 210;
Alba Regueira‐Iglesias   +6 more
wiley   +1 more source

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