Evidence map›Paper›PMID 38920364›Full record

ArticleApplied and environmental microbiology2024

Measurements of soil protist richness and community composition are influenced by primer pair, annealing temperature, and bioinformatics choices.

Rebecca L Mau, Michaela Hayer, Alicia M Purcell, Stefan Geisen, Bruce A Hungate, Egbert Schwartz

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Rebecca L MauCenter for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, Arizona, USA.ORCID 0009-0006-7833-8863
Michaela HayerCenter for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, Arizona, USA.
Alicia M PurcellDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, USA.
Stefan GeisenLaboratory of Nematology, Wageningen University & Research, Wageningen, the Netherlands.
Bruce A HungateCenter for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, Arizona, USA.ORCID 0000-0002-7337-1887
Egbert SchwartzCenter for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, Arizona, USA.

Funding

U.S. Department of Energy (DOE) DE-AC52-07NA27344U.S. Department of Energy (DOE) DE-SC0020172U.S. Department of Energy (DOE) DE-SC0023126
6 · The paper itself

Abstract

Protists are a diverse and understudied group of microbial eukaryotic organisms especially in terrestrial environments. Advances in molecular methods are increasing our understanding of the distribution and functions of these creatures; however, there is a vast array of choices researchers make including barcoding genes, primer pairs, PCR settings, and bioinformatic options that can impact the outcome of protist community surveys. Here, we tested four commonly used primer pairs targeting the V4 and V9 regions of the 18S rRNA gene using different PCR annealing temperatures and processed the sequences with different bioinformatic parameters in 10 diverse soils to evaluate how primer pair, amplification parameters, and bioinformatic choices influence the composition and richness of protist and non-protist taxa using Illumina sequencing. Our results showed that annealing temperature influenced sequencing depth and protist taxon richness for most primer pairs, and that merging forward and reverse sequencing reads for the V4 primer pairs dramatically reduced the number of sequences and taxon richness of protists. The data sets of primers that targeted the same 18S rRNA gene region (e.g., V4 or V9) had similar protist community compositions; however, data sets from primers targeting the V4 18S rRNA gene region detected a greater number of protist taxa compared to those prepared with primers targeting the V9 18S rRNA region. There was limited overlap of protist taxa between data sets targeting the two different gene regions (80/549 taxa). Together, we show that laboratory and bioinformatic choices can substantially affect the results and conclusions about protist diversity and community composition using metabarcoding.IMPORTANCEEcosystem functioning is driven by the activity and interactions of the microbial community, in both aquatic and terrestrial environments. Protists are a group of highly diverse, mostly unicellular microbes whose identity and roles in terrestrial ecosystem ecology have been largely ignored until recently. This study highlights the importance of choices researchers make, such as primer pair, on the results and conclusions about protist diversity and community composition in soils. In order to better understand the roles protist taxa play in terrestrial ecosystems, biases in methodological and analytical choices should be understood and acknowledged.

Indexed as

Computational BiologyDNA PrimersEukaryotaRNA, Ribosomal, 18SSoil MicrobiologyBiodiversityPolymerase Chain ReactionSoilTemperatureDNA PrimersRNA, Ribosomal, 18SSoil18S rRNAmicroeukaryoteprotistsmall subunit rRNAsoil

Identifiers

PMID38920364
PMCPMC11267882

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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.