Evidence map›Paper›PMID 34824813›Full record

ArticleEcology and evolution2021

Comparing whole-genome shotgun sequencing and DNA metabarcoding approaches for species identification and quantification of pollen species mixtures.

Karen L Bell, Robert A Petit, Anya Cutler, Emily K Dobbs, J Michael Macpherson, Timothy D Read, Kevin S Burgess, Berry J Brosi

Abstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Karen L BellDepartment of Environmental Sciences Emory University Atlanta Georgia USA.ORCID https://orcid.org/0000-0002-4445-4026
Robert A PetitDivision of Infectious Diseases Department of Medicine Emory University Atlanta Georgia USA.ORCID https://orcid.org/0000-0002-1350-9426
Anya CutlerDepartment of Environmental Sciences Emory University Atlanta Georgia USA.
Emily K DobbsDepartment of Environmental Sciences Emory University Atlanta Georgia USA.ORCID https://orcid.org/0000-0003-3843-6590
J Michael MacphersonDepartment of Biology Chapman University Orange California USA.
Timothy D ReadDivision of Infectious Diseases Department of Medicine Emory University Atlanta Georgia USA.ORCID https://orcid.org/0000-0001-8966-9680
Kevin S BurgessDepartment of Biology Columbus State University Columbus Georgia USA.ORCID https://orcid.org/0000-0002-9663-9428
Berry J BrosiDepartment of Environmental Sciences Emory University Atlanta Georgia USA.ORCID https://orcid.org/0000-0002-9233-1151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular identification of mixed-species pollen samples has a range of applications in various fields of research. To date, such molecular identification has primarily been carried out via amplicon sequencing, but whole-genome shotgun (WGS) sequencing of pollen DNA has potential advantages, including (1) more genetic information per sample and (2) the potential for better quantitative matching. In this study, we tested the performance of WGS sequencing methodology and publicly available reference sequences in identifying species and quantifying their relative abundance in pollen mock communities. Using mock communities previously analyzed with DNA metabarcoding, we sequenced approximately 200Mbp for each sample using Illumina HiSeq and MiSeq. Taxonomic identifications were based on the Kraken

Indexed as

DNA barcodingDNA metabarcodingenvironmental DNAmetagenomicspollenwhole‐genome shotgun sequencing

Identifiers

PMID34824813
PMCPMC8601920

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Registered trials

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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 OpenQuestion graph.