Evidence map›Paper›PMID 33742230›Full record

SynthesisMicrobial ecology2022

Hawaiian Fungal Amplicon Sequence Variants Reveal Otherwise Hidden Biogeography.

Laura Tipton, Geoffrey L Zahn, John L Darcy, Anthony S Amend, Nicole A Hynson

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Microbial ecology, 2022. 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
2.8field-weighted citation impact, top 9% of its field
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, 31 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Laura TiptonSchool of Natural Science and Mathematics, Chaminade University of Honolulu, Honolulu, HI, USA.
Geoffrey L ZahnBiology Department, Utah Valley University, Orem, UT, USA.
John L DarcyDivision of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Anthony S AmendSchool of Life Sciences, University of Hawai'i at Mānoa, Honolulu, HI, USA.
Nicole A HynsonPacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, USA. nhynson@hawaii.edu.
University of Hawaiʻi at Mānoa · USChaminade University of Honolulu · USUniversity of Colorado Anschutz Medical Campus · USUtah Valley University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study biogeography and other ecological patterns of microorganisms, including fungi, scientists have been using operational taxonomic units (OTUs) as representations of species or species hypotheses. However, when defined by 97% sequence similarity cutoff at an accepted barcode locus such as 16S in bacteria or ITS in fungi, these OTUs can obscure biogeographic patterns, mask taxonomic diversity, and hinder meta-analyses. Amplicon sequence variants (ASVs) have been proposed to alleviate all of these issues and have been shown to do so in bacteria. Analyzing ASVs is just emerging as a common practice among fungal studies, and it is unclear whether the benefits found in bacterial studies of using such an approach carryover to fungi. Here, we conducted a meta-analysis of Hawaiian fungi by analyzing ITS1 amplicon sequencing data as ASVs and exploring ecological patterns. These surveys spanned three island groups and five ecosystems combined into the first comprehensive Hawaiian Mycobiome ASV Database. Our results show that ASVs can be used to combine fungal ITS surveys, increase reproducibility, and maintain the broad ecological patterns observed with OTUs, including diversity orderings. Additionally, the ASVs that comprise some of the most common OTUs in our database reveals some island specialists, indicating that traditional OTU clustering can obscure important biogeographic patterns. We recommend that future fungal studies, especially those aimed at assessing biogeography, analyze ASVs rather than OTUs. We conclude that similar to bacterial studies, ASVs improve reproducibility and data sharing for fungal studies.

Indexed as

EcosystemFungiHawaiiReproducibility of ResultsSequence Analysis, DNAASVHawaiian IslandsIsland biogeographyITSMycobiomeOTU

Identifiers

PMID33742230
OpenAlexW3137433318

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.