Disparities in second‐generation DNA metabarcoding results exposed with accessible and repeatable workflows
暂无分享,去创建一个
G. McCracken | J. O'Keefe | Timothy J Divoll | V. Brown | Jeff Kinne | Timothy J. Divoll | Joy M. O’Keefe
[1] B. D. Burks. The Mayflies, or Ephemeroptera, of Illinois , 1975 .
[2] T. Kunz,et al. An evaluation of fecal analysis for determining food habits of insectivorous bats , 1983 .
[3] R. Putman. Facts from faeces , 1984 .
[4] T. Kunz,et al. Food habits analysis of insectivorous bats. , 1988 .
[5] R. Wayne,et al. Facts from feces revisited. , 1997, Trends in ecology & evolution.
[6] G. Carvalho. Advances in molecular ecology , 1998 .
[7] L. Waits,et al. Noninvasive genetic sampling: look before you leap. , 1999, Trends in ecology & evolution.
[8] C. Boesch,et al. Factors affecting the amount of genomic DNA extracted from ape faeces and the identification of an improved sample storage method , 2004, Molecular ecology.
[9] James R. Knight,et al. Genome sequencing in microfabricated high-density picolitre reactors , 2005, Nature.
[10] S. Sheppard,et al. Advances in molecular ecology: tracking trophic links through predator–prey food‐webs , 2005 .
[11] TIM M. BLACKBURN,et al. Reproducibility and Repeatability in Ecology , 2006 .
[12] P. Hebert,et al. bold: The Barcode of Life Data System (http://www.barcodinglife.org) , 2007, Molecular ecology notes.
[13] R. Sikes,et al. Guidelines of the American Society of Mammalogists for the Use of Wild Mammals in Research , 2007 .
[14] J. Fullard,et al. The effectiveness of katydid (Neoconocephalus ensiger) song cessation as antipredator defence against the gleaning bat Myotis septentrionalis , 2008, Behavioral Ecology and Sociobiology.
[15] G. A. Feldhamer,et al. Prey Consumed by Eight Species of Insectivorous Bats from Southern Illinois , 2009 .
[16] Hadley Wickham,et al. ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .
[17] 王丽华,et al. 国际生命条形码计划—DNA Barcoding , 2009 .
[18] P. Hebert,et al. Species on the menu of a generalist predator, the eastern red bat (Lasiurus borealis): using a molecular approach to detect arthropod prey , 2009, Molecular ecology.
[19] P. Taberlet,et al. DNA barcoding for ecologists. , 2009, Trends in ecology & evolution.
[20] R. Hensinger. Peer Reviewers , 2010, Economic Botany.
[21] D. Heath,et al. Revolution in food web analysis and trophic ecology: diet analysis by DNA and stable isotope analysis , 2010, Molecular ecology.
[22] William A. Walters,et al. QIIME allows analysis of high-throughput community sequencing data , 2010, Nature Methods.
[23] R. W. Carter,et al. Conservation in the dark? The information used to support management decisions , 2010 .
[24] Wes McKinney,et al. Data Structures for Statistical Computing in Python , 2010, SciPy.
[25] Gareth Jones,et al. Taxon‐specific PCR for DNA barcoding arthropod prey in bat faeces , 2011, Molecular ecology resources.
[26] John A Darling,et al. From molecules to management: adopting DNA-based methods for monitoring biological invasions in aquatic environments. , 2011, Environmental research.
[27] Kristine Bohmann,et al. Molecular Diet Analysis of Two African Free-Tailed Bats (Molossidae) Using High Throughput Sequencing , 2011, PloS one.
[28] Elizabeth L Clare,et al. High-throughput sequencing offers insight into mechanisms of resource partitioning in cryptic bat species , 2011, Ecology and evolution.
[29] P. Hebert,et al. BOLD’s role in barcode data management and analysis: a response , 2011 .
[30] P. Racey. Ecological and Behavioral Methods for the Study of Bats , 2011 .
[31] Matthew B. Jones,et al. Challenges and Opportunities of Open Data in Ecology , 2011, Science.
[32] D. Higgins,et al. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega , 2011, Molecular systems biology.
[33] P. Taberlet,et al. Who is eating what: diet assessment using next generation sequencing , 2012, Molecular ecology.
[34] P. Taberlet,et al. Towards next‐generation biodiversity assessment using DNA metabarcoding , 2012, Molecular ecology.
[35] E. Chapman,et al. Identification of prey of Myotis septentrionalis using DNA-based techniques , 2012 .
[36] T. Dallman,et al. Performance comparison of benchtop high-throughput sequencing platforms , 2012, Nature Biotechnology.
[37] Mehrdad Hajibabaei,et al. Next‐generation sequencing technologies for environmental DNA research , 2012, Molecular ecology.
[38] R. Swihart,et al. The Hardwood Ecosystem Experiment: a framework for studying responses to forest management , 2013 .
[39] Kristine Bohmann,et al. Second generation sequencing and morphological faecal analysis reveal unexpected foraging behaviour by Myotis nattereri (Chiroptera, Vespertilionidae) in winter , 2014, Frontiers in Zoology.
[40] N. Wahlberg,et al. Next Generation Sequencing of Fecal DNA Reveals the Dietary Diversity of the Widespread Insectivorous Predator Daubenton’s Bat (Myotis daubentonii) in Southwestern Finland , 2013, PloS one.
[41] A. Kurta,et al. Analysis of DNA from Feces to Identify Prey of Big Brown Bats (Eptesicus fuscus) Caught in Apple Orchards , 2013 .
[42] Philip Hugenholtz,et al. Shining a Light on Dark Sequencing: Characterising Errors in Ion Torrent PGM Data , 2013, PLoS Comput. Biol..
[43] Rebecca A. Kalb,et al. The hardwood ecosystem experiment: goals, design, and implementation , 2013 .
[44] J. Kruschke. Bayesian estimation supersedes the t test. , 2013, Journal of experimental psychology. General.
[45] P. Taberlet,et al. DNA metabarcoding multiplexing and validation of data accuracy for diet assessment: application to omnivorous diet , 2014, Molecular ecology resources.
[46] Stephen J. Salipante,et al. Performance Comparison of Illumina and Ion Torrent Next-Generation Sequencing Platforms for 16S rRNA-Based Bacterial Community Profiling , 2014, Applied and Environmental Microbiology.
[47] James Haile,et al. Who's for dinner? High‐throughput sequencing reveals bat dietary differentiation in a biodiversity hotspot where prey taxonomy is largely undescribed , 2014, Molecular ecology.
[48] B. Siemers,et al. An integrative approach to detect subtle trophic niche differentiation in the sympatric trawling bat species Myotis dasycneme and Myotis daubentonii , 2014, Molecular ecology.
[49] A. Kurta,et al. Species-level analysis of diets of two mormoopid bats from Puerto Rico , 2014 .
[50] Elizabeth L Clare,et al. An inordinate fondness for beetles? Variation in seasonal dietary preferences of night‐roosting big brown bats (Eptesicus fuscus) , 2014, Molecular ecology.
[51] M. B. Fenton,et al. Resource partitioning by insectivorous bats in Jamaica , 2014, Molecular ecology.
[52] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[53] Frédéric Mahé,et al. Swarm: robust and fast clustering method for amplicon-based studies , 2014, PeerJ.
[54] L. Weyrich,et al. Environmental metabarcodes for insects: in silico PCR reveals potential for taxonomic bias , 2014, Molecular ecology resources.
[55] François Fabianek,et al. The diet of Myotis lucifugus across Canada: assessing foraging quality and diet variability , 2014, Molecular ecology.
[56] Elizabeth L Clare,et al. Molecular detection of trophic interactions: emerging trends, distinct advantages, significant considerations and conservation applications , 2014, Evolutionary applications.
[57] J. A. Encarnação,et al. Importance of multi-dimensional analyses of resource partitioning in highly mobile species assemblages , 2015, Population Ecology.
[58] P. Taberlet,et al. Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data , 2015, Molecular ecology resources.
[59] P. Lim,et al. DNA metabarcoding of insects and allies: an evaluation of primers and pipelines , 2015, Bulletin of Entomological Research.
[60] Kristine Bohmann,et al. Tag jumps illuminated – reducing sequence‐to‐sample misidentifications in metabarcoding studies , 2015, Molecular ecology resources.
[61] John G Kenny,et al. A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling , 2016, BMC Genomics.
[62] Antton Alberdi,et al. Trophic requirements beyond foraging habitats: The importance of prey source habitats in bat conservation , 2015 .
[63] G. McCracken,et al. Crop pests eaten by bats in organic pecan orchards , 2015 .
[64] E. Clare,et al. Dietary overlap and seasonality in three species of mormoopid bats from a tropical dry forest , 2015, Molecular ecology.
[65] C. Quince,et al. Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform , 2015, Nucleic acids research.
[66] Stephan Lewandowsky,et al. The Peer Reviewers' Openness Initiative: incentivizing open research practices through peer review , 2016, Royal Society Open Science.
[67] Pierre Taberlet,et al. How to limit false positives in environmental DNA and metabarcoding? , 2016, Molecular ecology resources.
[68] Vanessa A. Mata,et al. Female dietary bias towards large migratory moths in the European free-tailed bat (Tadarida teniotis) , 2016, Biology Letters.
[69] Umer Zeeshan Ijaz,et al. Illumina error profiles: resolving fine-scale variation in metagenomic sequencing data , 2016, BMC Bioinformatics.
[70] Stephen R. Piccolo,et al. Tools and techniques for computational reproducibility , 2016, GigaScience.
[71] N. Wahlberg,et al. What you need is what you eat? Prey selection by the bat Myotis daubentonii , 2016, Molecular ecology.
[72] Jj Allaire,et al. Dynamic Documents for R , 2016 .
[73] Sujeevan Ratnasingham,et al. Counting animal species with DNA barcodes: Canadian insects , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.
[74] Frédéric J. J. Chain,et al. The effects of parameter choice on defining molecular operational taxonomic units and resulting ecological analyses of metabarcoding data. , 2016, Genome.
[75] Anna Krystalli,et al. Striving for transparent and credible research: practical guidelines for behavioral ecologists , 2017, Behavioral ecology : official journal of the International Society for Behavioral Ecology.
[76] G. Guillera‐Arroita,et al. Dealing with false‐positive and false‐negative errors about species occurrence at multiple levels , 2017 .
[77] L. Waits,et al. Comparing morphological and molecular diet analyses and fecal DNA sampling protocols for a terrestrial carnivore , 2017 .
[78] J. Boyles,et al. Illuminating prey selection in an insectivorous bat community exposed to artificial light at night , 2018 .
[79] Antton Alberdi,et al. Scrutinizing key steps for reliable metabarcoding of environmental samples , 2018 .