On the public citation graph

Evaluating next‐generation sequencing (NGS) methods for routine monitoring of wild bees: Metabarcoding, mitogenomics or NGS barcoding

0 signed · 102 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.cub.2012.02.058openalex-snapshot

Screening mammal biodiversity using DNA from leeches

inferredcites →https://doi.org/10.1016/j.jip.2009.06.011openalex-snapshot

A historical review of managed honey bee populations in Europe and the United States and the factors that may affect them

inferredcites →https://doi.org/10.1016/j.tree.2010.01.007openalex-snapshot

Global pollinator declines: trends, impacts and drivers

inferredcites →https://doi.org/10.1016/j.ympev.2018.07.008openalex-snapshot

The contribution of mitochondrial metagenomics to large-scale data mining and phylogenetic analysis of Coleoptera

inferredcites →https://doi.org/10.1017/s0007485315000681openalex-snapshot

DNA metabarcoding of insects and allies: an evaluation of primers and pipelines

inferredcites →https://doi.org/10.1038/nmeth.f.303openalex-snapshot

QIIME allows analysis of high-throughput community sequencing data

inferredcites →https://doi.org/10.1038/srep09687openalex-snapshot

Massively parallel multiplex DNA sequencing for specimen identification using an Illumina MiSeq platform

inferredcites →https://doi.org/10.1046/j.1461-9563.2002.00132.xopenalex-snapshot

A molecular identification key for economically important thrips species (Thysanoptera: Thripidae) using direct sequencing and a PCR‐RFLP‐based approach

inferredcites →https://doi.org/10.1073/pnas.1406468111openalex-snapshot

Simultaneous assessment of the macrobiome and microbiome in a bulk sample of tropical arthropods through DNA metasystematics

inferredcites →https://doi.org/10.1080/24701394.2018.1455189openalex-snapshot

High-throughput terrestrial biodiversity assessments: mitochondrial metabarcoding, metagenomics or metatranscriptomics?

inferredcites →https://doi.org/10.1093/bioinformatics/btp352openalex-snapshot

The Sequence Alignment/Map format and SAMtools

inferredcites →https://doi.org/10.1093/bioinformatics/btq461openalex-snapshot

Search and clustering orders of magnitude faster than BLAST

inferredcites →https://doi.org/10.1093/bioinformatics/bts174openalex-snapshot

IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth

inferredcites →https://doi.org/10.1093/bioinformatics/btu170openalex-snapshot

Trimmomatic: a flexible trimmer for Illumina sequence data

inferredcites →https://doi.org/10.1093/gbe/evv086openalex-snapshot

Metagenome Skimming of Insect Specimen Pools: Potential for Comparative Genomics

inferredcites →https://doi.org/10.1093/molbev/msu154openalex-snapshot

Bulk De Novo Mitogenome Assembly from Pooled Total DNA Elucidates the Phylogeny of Weevils (Coleoptera: Curculionoidea)

inferredcites →https://doi.org/10.1093/molbev/msv111openalex-snapshot

Soup to Tree: The Phylogeny of Beetles Inferred by Mitochondrial Metagenomics of a Bornean Rainforest Sample

inferredcites →https://doi.org/10.1093/nar/gku917openalex-snapshot

Multiplex sequencing of pooled mitochondrial genomes—a crucial step toward biodiversity analysis using mito-metagenomics

inferredcites →https://doi.org/10.1093/oso/9780198767220.001.0001openalex-snapshot

Environmental DNA

inferredcites →https://doi.org/10.1098/rspb.2002.2218openalex-snapshot

Biological identifications through DNA barcodes

inferredcites →https://doi.org/10.1098/rstb.2017.0389openalex-snapshot

Historical collections as a tool for assessing the global pollination crisis

inferredcites →https://doi.org/10.1101/pdb.prot5448openalex-snapshot

Illumina Sequencing Library Preparation for Highly Multiplexed Target Capture and Sequencing

inferredcites →https://doi.org/10.1111/1755-0998.12236openalex-snapshot

Next‐generation DNA barcoding: using next‐generation sequencing to enhance and accelerate DNA barcode capture from single specimens

inferredcites →https://doi.org/10.1111/1755-0998.12275openalex-snapshot

‘Direct PCR ’ optimization yields a rapid, cost‐effective, nondestructive and efficient method for obtaining DNA barcodes without DNA extraction

inferredcites →https://doi.org/10.1111/1755-0998.12338openalex-snapshot

Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data

inferredcites →https://doi.org/10.1111/1755-0998.12355openalex-snapshot

Universal and blocking primer mismatches limit the use of high‐throughput DNA sequencing for the quantitative metabarcoding of arthropods

inferredcites →https://doi.org/10.1111/1755-0998.12363openalex-snapshot

DNA barcoding largely supports 250 years of classical taxonomy: identifications for C entral E uropean bees ( H ymenoptera, A poidea partim)

inferredcites →https://doi.org/10.1111/1755-0998.12446openalex-snapshot

Trace DNA from insect skins: a comparison of five extraction protocols and direct PCR on chironomid pupal exuviae

inferredcites →https://doi.org/10.1111/1755-0998.12472openalex-snapshot

Mitochondrial capture enriches mito‐DNA 100 fold, enabling PCR‐free mitogenomics biodiversity analysis

inferredcites →https://doi.org/10.1111/1755-0998.12486openalex-snapshot

Statistical approaches to account for false‐positive errors in environmental DNA samples

inferredcites →https://doi.org/10.1111/1755-0998.12488openalex-snapshot

Targeted gene enrichment and high‐throughput sequencing for environmental biomonitoring: a case study using freshwater macroinvertebrates

inferredcites →https://doi.org/10.1111/1755-0998.12508openalex-snapshot

How to limit false positives in environmental DNA and metabarcoding?

inferredcites →https://doi.org/10.1111/1755-0998.12701openalex-snapshot

Carrion fly‐derived DNA metabarcoding is an effective tool for mammal surveys: Evidence from a known tropical mammal community

inferredcites →https://doi.org/10.1111/1755-0998.12751openalex-snapshot

Sorting specimen‐rich invertebrate samples with cost‐effective NGS barcodes: Validating a reverse workflow for specimen processing

inferredcites →https://doi.org/10.1111/2041-210x.12120openalex-snapshot

SOAP B arcode: revealing arthropod biodiversity through assembly of Illumina shotgun sequences of PCR amplicons

inferredcites →https://doi.org/10.1111/2041-210x.12376openalex-snapshot

Validating the power of mitochondrial metagenomics for community ecology and phylogenetics of complex assemblages

inferredcites →https://doi.org/10.1111/2041-210x.12416openalex-snapshot

High‐throughput monitoring of wild bee diversity and abundance via mitogenomics

inferredcites →https://doi.org/10.1111/2041-210x.12789openalex-snapshot

Assessing strengths and weaknesses of DNA metabarcoding‐based macroinvertebrate identification for routine stream monitoring

inferredcites →https://doi.org/10.1111/ele.12162openalex-snapshot

Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding

inferredcites →https://doi.org/10.1111/j.1365-294x.2012.05470.xopenalex-snapshot

Towards next‐generation biodiversity assessment using DNA metabarcoding

inferredcites →https://doi.org/10.1111/j.1469-8137.1912.tb05611.xopenalex-snapshot

THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE. 1

inferredcites →https://doi.org/10.1111/j.1471-8286.2006.01428.xopenalex-snapshot

An inexpensive, automation‐friendly protocol for recovering high‐quality DNA

inferredcites →https://doi.org/10.1111/j.1523-1739.2006.00529.xopenalex-snapshot

Presence–Absence versus Abundance Data for Monitoring Threatened Species

inferredcites →https://doi.org/10.1111/j.1523-1739.2012.01962.xopenalex-snapshot

Detecting Insect Pollinator Declines on Regional and Global Scales

inferredcites →https://doi.org/10.1111/j.1755-0998.2009.02819.xopenalex-snapshot

Reproducibility of read numbers in high‐throughput sequencing analysis of nematode community composition and structure

inferredcites →https://doi.org/10.1111/j.2041-210x.2012.00198.xopenalex-snapshot

Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring

inferredcites →https://doi.org/10.1111/mec.14258openalex-snapshot

Shotgun mitogenomics across body size classes in a local assemblage of tropical Diptera: Phylogeny, species diversity and mitochondrial abundance spectrum

inferredcites →https://doi.org/10.1111/mec.14776openalex-snapshot

The choice of universal primers and the characteristics of the species mixture determine when DNA metabarcoding can be quantitative

inferredcites →https://doi.org/10.1111/mec.14779openalex-snapshot

How much is enough? Effects of technical and biological replication on metabarcoding dietary analysis

inferredcites →https://doi.org/10.1126/science.1127863openalex-snapshot

Parallel Declines in Pollinators and Insect-Pollinated Plants in Britain and the Netherlands

inferredcites →https://doi.org/10.1126/science.1232728openalex-snapshot

Plant-Pollinator Interactions over 120 Years: Loss of Species, Co-Occurrence, and Function

inferredcites →https://doi.org/10.1126/science.1255957openalex-snapshot

Bee declines driven by combined stress from parasites, pesticides, and lack of flowers

inferredcites →https://doi.org/10.1126/science.1257259openalex-snapshot

Extinctions of aculeate pollinators in Britain and the role of large-scale agricultural changes

inferredcites →https://doi.org/10.1139/f01-004openalex-snapshot

Permutation tests for univariate or multivariate analysis of variance and regression

inferredcites →https://doi.org/10.1186/1471-2105-10-421openalex-snapshot

BLAST+: architecture and applications

inferredcites →https://doi.org/10.1186/1742-9994-10-34openalex-snapshot

A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents

inferredcites →https://doi.org/10.1186/2047-217x-2-4openalex-snapshot

Ultra-deep sequencing enables high-fidelity recovery of biodiversity for bulk arthropod samples without PCR amplification

inferredcites →https://doi.org/10.1186/2049-2618-2-6openalex-snapshot

An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform

inferredcites →https://doi.org/10.1186/s13742-016-0120-yopenalex-snapshot

Mitochondrial metagenomics: letting the genes out of the bottle

inferredcites →https://doi.org/10.1371/journal.pone.0130324openalex-snapshot

Can DNA-Based Ecosystem Assessments Quantify Species Abundance? Testing Primer Bias and Biomass—Sequence Relationships with an Innovative Metabarcoding Protocol

inferredcites →https://doi.org/10.1371/journal.pone.0156757openalex-snapshot

Next-Generation Mitogenomics: A Comparison of Approaches Applied to Caecilian Amphibian Phylogeny

inferredcites →https://doi.org/10.1672/ucrt083-282openalex-snapshot

Wetland Ecogenomics – The Next Generation of Wetland Biodiversity and Functional Assessment

inferredcites →https://doi.org/10.18637/jss.v067.i01openalex-snapshot

Fitting Linear Mixed-Effects Models Using lme4

inferredcites →https://doi.org/10.2193/0022-541x(2005)069[0849:watiwp]2.0.co;2openalex-snapshot

WHAT ARE THE ISSUES WITH PRESENCE–ABSENCE DATA FOR WILDLIFE MANAGERS?

inferredcites →https://doi.org/10.7717/peerj.1966openalex-snapshot

Testing the potential of a ribosomal 16S marker for DNA metabarcoding of insects

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.3897/mbmg.7.112290zenodo-depositor-declared

Abundance estimation with DNA metabarcoding – recent advancements for terrestrial arthropods

inferred← citeshttps://doi.org/10.1002/ece3.7382openalex-snapshot

Meta‐analysis shows that environmental DNA outperforms traditional surveys, but warrants better reporting standards

inferred← citeshttps://doi.org/10.1002/edn3.125openalex-snapshot

Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding

inferred← citeshttps://doi.org/10.1002/edn3.490openalex-snapshot

BEE ‐quest of the nest: A novel method for eDNA ‐based, nonlethal detection of cavity‐nesting hymenopterans and other arthropods

inferred← citeshttps://doi.org/10.1002/edn3.542openalex-snapshot

Identifying archived insect bulk samples using DNA metabarcoding: A case study using the long‐term Rothamsted Insect Survey

inferred← citeshttps://doi.org/10.1002/ps.8756openalex-snapshot

On‐site genetic diagnosis for the invasive pest Hylurgus ligniperda ( Fabricius ) and its possible application

inferred← citeshttps://doi.org/10.1002/ps.8789openalex-snapshot

Monitoring invertebrate pests on cowpea crops across China using eDNA metabarcoding

inferred← citeshttps://doi.org/10.1007/978-3-031-76742-5_6openalex-snapshot

Molecular Identification of Wild Bees

inferred← citeshttps://doi.org/10.1007/978-3-031-82206-3_8openalex-snapshot

Monitoring Methods for the Protection of Connectivity in Forest Ecosystems

inferred← citeshttps://doi.org/10.1007/978-981-92-0096-2_9openalex-snapshot

DNA Barcoding in Orchids as an Effective Tool for Species Identification

inferred← citeshttps://doi.org/10.1007/s10646-021-02494-3openalex-snapshot

Can moderate heavy metal soil contaminations due to cement production influence the surrounding soil bacterial communities?

inferred← citeshttps://doi.org/10.1016/j.apsb.2022.10.024openalex-snapshot

A novel biological sources consistency evaluation method reveals high level of biodiversity within wild natural medicine: A case study of Amynthas earthworms as “Guang Dilong”

inferred← citeshttps://doi.org/10.1016/j.baae.2024.01.003openalex-snapshot

Improving wild bee monitoring, sampling methods, and conservation

inferred← citeshttps://doi.org/10.1016/j.biocon.2025.111069openalex-snapshot

Technological innovations for biodiversity monitoring and the design of agri-environmental schemes

inferred← citeshttps://doi.org/10.1016/j.gene.2022.146516openalex-snapshot

Comparative mitochondrial genome analysis and phylogenetic relationship among lepidopteran species

inferred← citeshttps://doi.org/10.1016/j.parint.2020.102281openalex-snapshot

Mitochondrial genome of Scutogyrus longicornis (Monogenea: Dactylogyridea), a parasite of Nile tilapia Oreochromis niloticus

inferred← citeshttps://doi.org/10.1016/j.talo.2025.100499openalex-snapshot

Advanced analytical and digital approaches for proactive detection of food fraud as an emerging contaminant threat

inferred← citeshttps://doi.org/10.1038/s41598-021-83631-0openalex-snapshot

A DNA barcode-based survey of wild urban bees in the Loire Valley, France

inferred← citeshttps://doi.org/10.1038/s41598-023-34477-1openalex-snapshot

Comparative plastome genomics, taxonomic delimitation and evolutionary divergences of Tetraena hamiensis var. qatarensis and Tetraena simplex (Zygophyllaceae)

inferred← citeshttps://doi.org/10.1093/ornithapp/duac005openalex-snapshot

Bird predation and landscape context shape arthropod communities on broccoli

inferred← citeshttps://doi.org/10.1098/rsbl.2025.0385openalex-snapshot

Adapting practices to accelerate the scientific description of invertebrate cryptic species

inferred← citeshttps://doi.org/10.1101/2024.02.01.578371openalex-snapshot

Environmental DNA from ethanol eluent of flowers reveals a widespread diversity in cowpea associated animal communities in Hainan Island

inferred← citeshttps://doi.org/10.1101/2024.09.02.610558openalex-snapshot

CV.eDNA: A hybrid approach to invertebrate biomonitoring using computer vision and DNA metabarcoding

inferred← citeshttps://doi.org/10.1111/1755-0998.13464openalex-snapshot

Relative species abundance estimation in artificial mixtures of insects using mito‐metagenomics and a correction factor for the mitochondrial DNA copy number

inferred← citeshttps://doi.org/10.1111/1755-0998.13703openalex-snapshot

Extracting abundance information from DNA ‐based data

inferred← citeshttps://doi.org/10.1111/epp.12805openalex-snapshot

First records of Ceroplastes ceriferus (Fabricius) (Hemiptera: Coccidae) and Ceroplastes japonicus (Gray) in Switzerland identified by DNA barcoding

inferred← citeshttps://doi.org/10.1111/mec.15629openalex-snapshot

Ultraconserved yet informative for species delimitation: Ultraconserved elements resolve long‐standing systematic enigma in Central European bees

inferred← citeshttps://doi.org/10.1186/s12862-025-02429-0openalex-snapshot

CODABEILLES: a reliable reference library of COI DNA barcodes for French wild bees monitoring (Apoidea: Anthophila)

inferred← citeshttps://doi.org/10.1371/journal.pone.0301474openalex-snapshot

Comparing modern identification methods for wild bees: Metabarcoding and image-based morphological taxonomic assignment

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4094022/v1openalex-snapshot

Environmental DNA from ethanol eluent of flowers reveals a widespread diversity in cowpea associated animal communities in Hainan Island

inferred← citeshttps://doi.org/10.3389/fmars.2022.940889openalex-snapshot

Non-native species in the north Gulf of Aqaba (Red Sea) revealed from environmental DNA

inferred← citeshttps://doi.org/10.3389/fpls.2022.764255openalex-snapshot

DNA Barcoding and Phylogenomic Analysis of the Genus Fritillaria in China Based on Complete Chloroplast Genomes

inferred← citeshttps://doi.org/10.3390/ijms27135813openalex-snapshot

Forensic Species Identification: A Case Involving Trafficked Fish Maws and Shark Fins

inferred← citeshttps://doi.org/10.3897/arphapreprints.e109709openalex-snapshot

Abundance estimation with DNA metabarcoding – recent advancements for terrestrial arthropods

inferred← citeshttps://doi.org/10.3897/jhr.93.86723openalex-snapshot

Double-blind validation of alternative wild bee identification techniques: DNA metabarcoding and in vivo determination in the field

inferred← citeshttps://doi.org/10.3897/jhr.94.84617openalex-snapshot

A metabarcoding framework for wild bee assessment in Luxembourg

inferred← citeshttps://doi.org/10.3897/mbmg.4.48281openalex-snapshot

Estimation of the relative abundance of species in artificial mixtures of insects using low-coverage shotgun metagenomics

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.