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Measurements of soil protist richness and community composition are influenced by primer pair, annealing temperature, and bioinformatics choices.
Mau, Rebecca L; Hayer, Michaela; Purcell, Alicia M; Geisen, Stefan; Hungate, Bruce A; Schwartz, Egbert.
Afiliação
  • Mau RL; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, Arizona, USA.
  • Hayer M; Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA.
  • Purcell AM; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, Arizona, USA.
  • Geisen S; Department of Biological Sciences, Texas Tech University, Lubbock, Texas, USA.
  • Hungate BA; Laboratory of Nematology, Wageningen University & Research, Wageningen, the Netherlands.
  • Schwartz E; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, Arizona, USA.
Appl Environ Microbiol ; 90(7): e0080024, 2024 Jul 24.
Article em En | MEDLINE | ID: mdl-38920364
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiologia do Solo / RNA Ribossômico 18S / Primers do DNA / Biologia Computacional / Eucariotos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiologia do Solo / RNA Ribossômico 18S / Primers do DNA / Biologia Computacional / Eucariotos Idioma: En Ano de publicação: 2024 Tipo de documento: Article