Showing 21 - 40 results of 133 for search 'Metabarcoding influence', query time: 0.07s Refine Results
  1. 21

    Monitoring terrestrial rewilding with environmental DNA metabarcoding: a systematic review of current trends and recommendations by Clare Cowgill, James D. J. Gilbert, Ian Convery, Lori Lawson Handley, Lori Lawson Handley

    Published 2025-01-01
    “…Greater species richness was found when using multiple substrates, but few studies took this approach. Metabarcoding did not consistently outperform other methods in terms of the number of vertebrate taxa detected, and this was likely influenced by choice of marker, sampling substrate and habitat.DiscussionOur findings indicate that metabarcoding, particularly of eDNA, has the potential to play a key role in the monitoring of terrestrial rewilding, but that further ground- truthing is needed to establish the most appropriate sampling and experimental pipelines for the target taxa and terrestrial system of interest.Systematic Review Registrationhttps://osf.io/38w9q/?…”
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  2. 22

    DNA metabarcoding and video camera collars yield different inferences about the summer diet of an arctic ungulate by Heather E. Johnson, Gabrielle L. Coulombe, Layne G. Adams, Colleen Arnison, Perry Barboza, Martin Kienzler, William B. Leacock, Michael J. Suitor

    Published 2025-07-01
    “…Abstract The diets of wild ungulates are a foundational component of their ecology, influencing their behavior, body condition, and demography. …”
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  3. 23

    Benchmarking three DNA metabarcoding technologies for efficient detection of non-native cerambycid beetles in trapping collections by Loïs Veillat, Stéphane Boyer, Marina Querejeta, Emmanuelle Magnoux, Alain Roques, Carlos Lopez-Vaamonde, Geraldine Roux

    Published 2024-11-01
    “…In this study, we quantified the effectiveness of DNA metabarcoding at detecting exotic species within six different mock communities of native and non-native species of European xylophagous cerambycid beetles. …”
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    Landscape‐Wide Metabarcoding Shows Interactions Among the Gut Microbiome and Pollen Diversity in the Invasive Bumblebee, Bombus terrestris by Sabrina Haque, Hasinika K. A. H. Gamage, Cecilia Kardum Hjort, Fleur Ponton, Francisco Encinas‐Viso, Ian T. Paulsen, Rachael Y. Dudaniec

    Published 2025-07-01
    “…Using 16S rRNA and ITS2 metabarcoding on gut samples and foraged pollen, respectively, we examine how the gut microbiota of B. terrestris is influenced by pollen diversity, environmental variables and their interactions. …”
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  6. 26

    Unveiling Heterospecific Pollen Deposition in Ranunculus Plants Along a Land‐Use Gradient Through DNA Metabarcoding by Susanne Werle, Anna Preußner, Kenneth Kuba, Sara Diana Leonhardt, Alexander Keller

    Published 2025-04-01
    “…Our results show that DNA metabarcoding is a powerful tool for assessing heterospecific pollen diversity, revealing that pollen transfer is heavily influenced by plant community composition. …”
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  7. 27

    eDNA metabarcoding reveals differences in fish diversity and community structure in heterogeneous habitat areas shaped by cascade hydropower by Ruli Cheng, Yang Luo, Yufeng Zhang, Qinghua Li, Yingwen Li, Yanjun Shen

    Published 2023-07-01
    “…The fish species in the area have gradually declined under the influence of anthropogenic factors such as terraced hydropower and overfishing. …”
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  8. 28

    Dynamics of Phyto- and Bacterioplankton in Southern Baikal and Irkutsk Reservoir During the Open Water Period of 2023 According to Metabarcoding Data by Yuri Galachyants, Darya Petrova, Artem Marchenkov, Maria Nalimova, Yelena Likhoshway

    Published 2025-05-01
    “…These findings demonstrate the value of metabarcoding for freshwater monitoring and provide new insights into microbial community dynamics in river–reservoir systems influenced by oligotrophic lake inflow.…”
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  9. 29

    A Confidence Scoring Procedure for eDNA Metabarcoding Records and Its Application to a Global Marine Fish Dataset by Andrea Polanco F., Romane Rozanski, Virginie Marques, Martin Helmkampf, David Mouillot, Stéphanie Manel, Camille Albouy, Oscar Puebla, Loïc Pellissier

    Published 2025-03-01
    “…ABSTRACT Environmental DNA (eDNA) metabarcoding is changing the way biodiversity is surveyed in many types of ecosystems. eDNA surveys are now commonly performed and integrated into biodiversity monitoring programs and public databases. …”
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  10. 30

    Water and nutrient availability modulate the salinity stress response in Olea europaea cv. Arbequina by Marzia Vergine, Emily Rose Palm, Anna Maria Salzano, Carmine Negro, Werther Guidi Nissim, Leonardo Sabbatini, Raffaella Balestrini, Maria Concetta de Pinto, Nunzio Dipierro, Gholamreza Gohari, Vasileios Fotopoulos, Stefano Mancuso, Andrea Luvisi, Luigi De Bellis, Andrea Scaloni, Federico Vita

    Published 2024-12-01
    “…Metabolomic and biometric data were also coupled with metabarcoding analysis, which indicates that the moderate salinity treatment (100 mM NaCl, T100) reshaped the endophytic community of plants grown on both substrates. …”
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  11. 31

    Airborne Fungal Spore Diversity Assessment Using Culture-Dependent and Metabarcoding Approaches in Bat-Inhabited Natural and Anthropogenic Roosts in Portugal by Jaqueline T. Bento, Guilherme Moreira, Eugénia Pinto, Priscilla Gomes da Silva, Hugo Rebelo, Joana Mourão, Sofia I. V. Sousa, João R. Mesquita

    Published 2025-05-01
    “…Diversity indices and community composition analyses, including Principal Coordinate Analysis (PCoA) and hierarchical clustering, highlighted distinct fungal profiles influenced by site-specific environmental factors and human activity. …”
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  12. 32

    Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia by E. A. Ivanova, A. R. Suleymanov, D. A. Nikitin, M. V. Semenov, E. V. Abakumov

    Published 2025-07-01
    “…This study aimed to investigate the spatial distribution patterns of Acidobacteriota and Planctomycetota across soils in Russia, summarizing data from 16S rRNA gene metabarcoding of topsoils. A machine learning approach (Random Forest) was employed to generate digital distribution maps using climatic, topographic, vegetation, geological, and soil variables. …”
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  13. 33

    Metabarcoding–approach–based profiling reveals dynamic nature of sustainable tillage practices on nematode communities in corn–soybean cropping systems by Jerry Akanwari, Md Rashedul Islam, Ping Liang, Tahera Sultana

    Published 2025-07-01
    “…The results showed that tillage significantly influenced nematode community structure and distribution within the soil profile. …”
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    Profiling of Seawater Bacterial Diversity in Tanjung Mas Port Using 16S rRNA eDNA Metabarcoding and Next-Generation Sequencing (NGS) by Naufal Sebastian Anggoro, Hermin Pancasakti Kusumaningrum, Anto Budiharjo, Wijanarka Wijanarka, Muhammad Zainuri, Tony Hadibarata

    Published 2024-03-01
    “…The objective of the study was assessing bacterial diversity in relation to with biofouling within Tanjung Mas Port Semarang, by using 16S rRNA eDNA metabarcoding Next-Generation Sequencing (NGS). Seawater samples from aquatic sites of Tanjung Mas harbor was used for DNA extraction and amplification of the 16S rRNA V-3-V4 hypervariable region, followed by sequencing and library construction of eDNA Metabarcoding. …”
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  16. 36

    Combining eDNA Metabarcoding, Hydrology‐Based Modeling and Camera Trap Datasets to Assess the Potential of River eDNA in Monitoring Terrestrial Mammals by Monika Goralczyk, Arnaud Lyet, Robin Naidoo, Cole Burton, Loïc Pellissier, Luca Carraro

    Published 2025-03-01
    “…However, interpreting eDNA surveys in riverine habitats requires an understanding of the influence of eDNA transport, decay, and production on the distribution of eDNA. …”
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  17. 37

    Spatial and seasonal determinants of arthropod community composition across an agro-ecosystem landscape by P. Burgess, G.S. Betini, A. Cholewka, J.R. deWaard, S. deWaard, C. Griswold, P.D.N. Hebert, A. MacDougall, K.S. McCann, J. McGroarty, E. Miller, K. Perez, S. Ratnasingham, C. Reisiger, D. Steinke, E. Wright, E. Zakharov, J.M. Fryxell

    Published 2024-01-01
    “…The 15 field sites sampled spanned a wide gradient of agricultural extent that in isolation had a strong impact on spatial variation in arthropod community composition. DNA metabarcoding of the samples identified >10 000 different arthropod biodiversity index numbers. …”
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  18. 38

    Evidence for a gut microbial community conferring adaptability to diet quality and temperature stressors in phytophagous insects: the melon fruit fly Zeugodacus cucurbitae (Diptera... by Abir Hafsi, Laura Moquet, Wouter Hendrycks, Marc De Meyer, Massimiliano Virgilio, Hélène Delatte

    Published 2024-12-01
    “…Microbial symbionts are known to play a key role in the biology, ecology, and evolution of phytophagous insects, but their abundance and diversity are suggested to be influenced by environmental stressors. In this work, using 16 S rRNA metabarcoding we aim to verify (1) if laboratory rearing affects microbial symbiont communities of Zeugodacus cucurbitae females, a cosmopolitan pest of cucurbitaceous crops (2) if temperature, diet quality, and antibiotic treatments affect microbial symbiont communities of both laboratory and wild populations, and (3) if changes in microbial symbiont communities due to temperature, diet and antibiotic affect longevity and fecundity of Z. cucurbitae. …”
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    Discovering the dynamics of peach fruit mycobiome throughout fruit development season by high-throughput sequencing by Sibel Öncel, Hilal Özkılınç

    Published 2025-03-01
    “…Abstract The mycobiome is comprised of a rich array of fungal species that compete for resources, and species diversity and prevalence exhibit a dynamic structure under the influence of many factors. While the host fruit develops, the prevalence and the arrangement of fungal species in this mycobiome also change, forming a dynamic microenvironment. …”
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