Evidence map›Paper›PMID 33514828›Full record

ArticleScientific reports2021

Comparison of DNA sequencing and morphological identification techniques to characterize environmental fungal communities.

Naohide Shinohara, Cheolwoon Woo, Naomichi Yamamoto, Kazuhiro Hashimoto, Hiroko Yoshida-Ohuchi, Yuji Kawakami

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  11. Microbial Contamination in the Coffee Industry: An Occupational Menace besides a Food Safety Concern?International journal of environmental research and public health · 2022
    Article
  12. 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.

Naohide ShinoharaResearch Institute of Science for Safety and Sustainability (RISS), National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki, 305-8569, Japan. n-shinohara@aist.go.jp.
Cheolwoon WooDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.
Naomichi YamamotoDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.
Kazuhiro HashimotoLaboratory of Integrated Pest Management, FCG Research Institute Inc., 1-1-20Koto-ku, Aomi, 135-0064, Japan.
Hiroko Yoshida-OhuchiGraduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aoba, Aoba-ku, Sendai, Miyagi, 980-8578, Japan.
Yuji KawakamiLaboratory of Integrated Pest Management, FCG Research Institute Inc., 1-1-20Koto-ku, Aomi, 135-0064, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Culture-independent DNA sequencing of fungal internal transcribed spacer 2 (ITS2) region was compared to a culture-dependent morphological identification technique to characterize house dust-borne fungal communities. The abundant genera were Aspergillus, Wallemia, Cladosporium, and Penicillium. Statistically significant between-method correlations were observed for Wallemia and Cladosporium (Spearman's ρ = 0.75 and 0.72, respectively; p < 0.001). Penicillium tended to be detected with much higher (averaged 26-times) relative abundances by the culture-based method than by the DNA-based method, although statistically significant inter-method correlation was observed with Spearman's ρ = 0.61 (p = 0.002). Large DNA sequencing-based relative abundances observed for Alternaria and Aureobasidium were likely due to multicellularity of their spores with large number of per-spore ITS2 copies. The failure of the culture-based method in detectiing Toxicocladosporium, Verrucocladosporium, and Sterigmatomyces was likely due to their fastidiousness growth on our nutrient medium. Comparing between the two different techniques clarified the causes of biases in identifying environmental fungal communities, which should be amended and/or taken into consideration when the methods are used for future fungal ecological studies.

Indexed as

Environmental MonitoringAscomycotaAspergillusCladosporiumDNA, IntergenicHigh-Throughput Nucleotide SequencingMycobiomePenicilliumSpores, FungalDNA, Intergenic

Identifiers

PMID33514828
PMCPMC7846767

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