2021
DOI: 10.1007/s00248-020-01657-9
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Identifying Potential Hosts of Short-Branch Microsporidia

Abstract: Microsporidia are obligate parasites that are closely related to Fungi. While the widely known “long-branch” Microsporidia infect mostly metazoans, the hosts of “short-branch” Microsporidia are only partially characterized or not known at all. Here, we used network analyses from Neotropical rainforest soil metabarcoding data, to infer co-occurrences between environmental lineages of short-branch microsporidians and their potential hosts. We found significant co-occurrences with several taxa, especially with Ap… Show more

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Cited by 7 publications
(6 citation statements)
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“…6a,b), whereas to date, infection by Microsporidia in phytoplankton has never been recorded. Interestingly, some of the potential associations identified here were also retrieved in co‐occurrence networks involving short‐branch Microsporidia (Doliwa et al 2021).…”
Section: Resultsmentioning
confidence: 73%
“…6a,b), whereas to date, infection by Microsporidia in phytoplankton has never been recorded. Interestingly, some of the potential associations identified here were also retrieved in co‐occurrence networks involving short‐branch Microsporidia (Doliwa et al 2021).…”
Section: Resultsmentioning
confidence: 73%
“…Molecular data already frequently contribute towards creating biodiversity inventories (Taberlet et al 2018, Ruppert et al 2019) and rapid biodiversity assessments at local scales (eDNA and meta‐barcoding, Yu et al 2012, McClenaghan et al 2020) including baseline flora and fauna identification (Hofreiter et al 2001). They are also routinely employed for overcoming sampling gaps in cryptic taxa and remote areas (Barratt et al 2017, 2018, Lentendu et al 2018, Ritter et al 2019a, b, 2020), understanding gene–environment interactions (Ritter et al 2018, Zinger et al 2019), species interaction (Doliwa et al 2021, Ritter et al 2021) and cross‐taxonomic analyses of genetic diversity and population structure (Miraldo et al 2016, Gratton et al 2017, Theodoridis et al 2020). Recent applications have highlighted the use of molecular data for biodiversity monitoring (Flanagan et al 2018, Hunter et al 2018) and the response to stressors and conservation measures (Beermann et al 2018, Zizka et al 2020a, b), with a number of programs instigated by several stakeholders to monitor genetic diversity (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Environmental V4 SSU-rRNA raw sequences were downloaded from the EMBL/EBI-ENA EukBank umbrella project, clustered with Swarm v3 using default parameters with the fastidious option on (Mahé et al, 2022), checked for chimeras using VSEARCH (Rognes et al, 2016), merged with MUMU (Mahé 2021), and taxonomically assigned using the stampa pipeline (https://github.con/frederic-mahe/stampa/) and EukRibo v1 reference database (2020-07-16). From this, an OTU (operational taxonomic unit) occurrence table was generated.…”
Section: Datasetmentioning
confidence: 99%
“…For example, they do not show rapid rates of evolution and have less reduced genomes that are more similar to those of Rozella and canonical Fungi (Haag et al, 2014; Quandt et al, 2017). The short-branch Microsporidia also include many uncharacterized environmental lineages that may be parasitic as well (Doliwa et al, 2021). By further investigating the short-branch Microsporidia, we can better understand the intriguing evolution that occurred among the classical long-branch Microsporidia, which ultimately resulted in trait reductions and increased complexity of their extrusion apparatus.…”
Section: Introductionmentioning
confidence: 99%