Evidence map›Paper›PMID 39329134›Full record

ArticlePeerJ2024

Implementing high-throughput insect barcoding in microbiome studies: impact of non-destructive DNA extraction on microbiome reconstruction.

Veronika Andriienko, Mateusz Buczek, Rudolf Meier, Amrita Srivathsan, Piotr Łukasik, Michał R Kolasa

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Accuracy of occurrence and abundance estimates from insect metabarcoding.bioRxiv : the preprint server for biology · 2026
    Article
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  5. With a little help from my friends: the roles of microbial symbionts in insect populations and communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Veronika AndriienkoInstitute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Krakow, Poland.
Mateusz BuczekInstitute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Krakow, Poland.
Rudolf MeierMuseum für Naturkunde, Leibniz-Institut für Evolutions- und Biodiversitätsforschung, Berlin, Germany.
Amrita SrivathsanMuseum für Naturkunde, Leibniz-Institut für Evolutions- und Biodiversitätsforschung, Berlin, Germany.
Piotr ŁukasikInstitute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Krakow, Poland.ORCID 0000-0002-4164-6487
Michał R KolasaInstitute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Krakow, Poland.

Funding

The evolutionary genetics and genomics of Wolbachia effects on host physiologyR35GM124701 · NIGMS · UNIVERSITY OF MONTANA · PI Brandon S. Cooper · 2017 to 2026
$3.9M
NIGMS NIH HHS R35 GM124701
6 · The paper itself

Abstract

Background: Symbiotic relationships with diverse microorganisms are crucial for many aspects of insect biology. However, while our understanding of insect taxonomic diversity and the distribution of insect species in natural communities is limited, we know much less about their microbiota. In the era of rapid biodiversity declines, as researchers increasingly turn towards DNA-based monitoring, developing and broadly implementing approaches for high-throughput and cost-effective characterization of both insect and insect-associated microbial diversity is essential. We need to verify whether approaches such as high-throughput barcoding, a powerful tool for identifying wild insects, would permit subsequent microbiota reconstruction in these specimens. Methods: High-throughput barcoding ("megabarcoding") methods often rely on non-destructive approaches for obtaining template DNA for PCR amplification by leaching DNA out of insect specimens using alkaline buffers such as HotSHOT. This study investigated the impact of HotSHOT on microbial abundance estimates and the reconstructed bacterial community profiles. We addressed this question by comparing quantitative 16S rRNA amplicon sequencing data for HotSHOT-treated or untreated specimens of 16 insect species representing six orders and selected based on the expectation of limited variation among individuals. Results: We find that in 13 species, the treatment significantly reduced microbial abundance estimates, corresponding to an estimated 15-fold decrease in amplifiable 16S rRNA template on average. On the other hand, HotSHOT pre-treatment had a limited effect on microbial community composition. The reconstructed presence of abundant bacteria with known significant effects was not affected. On the other hand, we observed changes in the presence of low-abundance microbes, those close to the reliable detection threshold. Alpha and beta diversity analyses showed compositional differences in only a few species. Conclusion: Our results indicate that HotSHOT pre-treated specimens remain suitable for microbial community composition reconstruction, even if abundance may be hard to estimate. These results indicate that we can cost-effectively combine barcoding with the study of microbiota across wild insect communities. Thus, the voucher specimens obtained using megabarcoding studies targeted at characterizing insect communities can be used for microbiome characterizations. This can substantially aid in speeding up the accumulation of knowledge on the microbiomes of abundant and hyperdiverse insect species.

Indexed as

DNA Barcoding, TaxonomicInsectaMicrobiotaRNA, Ribosomal, 16SAnimalsBacteriaBiodiversityDNA, BacterialHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionDNA, BacterialRNA, Ribosomal, 16SBiodiversityDNA extractionInsectsMicrobiomeSymbiont-host interaction

Identifiers

PMID39329134
PMCPMC11426317

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.