Evidence map›Paper›PMID 35153530›Full record

ArticleMycoKeys2022

A long-read amplicon approach to scaling up the metabarcoding of lichen herbarium specimens.

Cécile Gueidan, Lan Li

Abstract read
In one paragraph

Article in MycoKeys, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

2 authors.

Cécile GueidanAustralian National Herbarium, National Research Collections Australia, NCMI, CSIRO, Canberra, ACT, 2601, Australia Australian National Herbarium, National Research Collections Australia Canberra Australia.ORCID https://orcid.org/0000-0001-9295-9996
Lan LiAustralian National Herbarium, National Research Collections Australia, NCMI, CSIRO, Canberra, ACT, 2601, Australia Australian National Herbarium, National Research Collections Australia Canberra Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reference sequence databases are critical to the accurate detection and identification of fungi in the environment. As repositories of large numbers of well-curated specimens, herbaria and fungal culture collections have the material resources to generate sequence data for large number of taxa, and could therefore allow filling taxonomic gaps often present in reference sequence databases. Financial resources to do that are however often lacking, so that recent efforts have focused on decreasing sequencing cost by increasing the number of multiplexed samples per sequencing run while maintaining high sequence quality. Following a previous study that aimed at decreasing sequencing cost for lichen specimens by generating fungal ITS barcodes for 96 specimens using PacBio amplicon sequencing, we present a method that further decreases lichen specimen metabarcoding costs. A total of 384 mixed DNA extracts obtained from lichen herbarium specimens, mostly from the four genera

Indexed as

Collection specimensITS barcodelichenised fungiPacBio amplicon sequencing

Identifiers

PMID35153530
PMCPMC8828592

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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.