Evidence map›Paper›PMID 37680531›Full record

ArticleFrontiers in microbiology2023

Applying an internal transcribed spacer as a single molecular marker to differentiate between

Wael A Fathy, Natascha Techen, Khaled N M Elsayed, Ehab A Essawy, Eman Tawfik, Khairiah Mubarak Alwutayd, Mohamed S Abdelhameed, Ola Hammouda, Samir A Ross

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. 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. Molecular Evidence of ClonalFoods (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Article
  4. First Report ofPlants (Basel, Switzerland) · 2025
    Article
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

9 authors.

Wael A FathyDepartment of Botany and Microbiology, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Natascha TechenNational Centre for Natural Products Research, Research Institute of Pharmaceutical Sciences, School of Pharmacy, University of Mississippi, Oxford, MS, United States.
Khaled N M ElsayedDepartment of Botany and Microbiology, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Ehab A EssawyBiochemistry Division, Department of Chemistry, Faculty of Science, Helwan University, Helwan, Egypt.
Eman TawfikDepartment of Botany and Microbiology, Faculty of Science, Helwan University, Helwan, Egypt.
Khairiah Mubarak AlwutaydDepartment of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Mohamed S AbdelhameedDepartment of Botany and Microbiology, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Ola HammoudaDepartment of Botany and Microbiology, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Samir A RossFaculty of Science and Informatics, Doctoral School of Biology, University of Szeged, Szeged, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the realm of applied phycology, algal physiology, and biochemistry publications, the absence of proper identification and documentation of microalgae is a common concern. This poses a significant challenge for non-specialists who struggle to identify numerous eukaryotic microalgae. However, a promising solution lies in employing an appropriate DNA barcoding technique and establishing comprehensive databases of reference sequences. To address this issue, we conducted a study focusing on the molecular characterization and strain identification of

Indexed as

Chlorella sp.chlorophytaDNA barcodinginternal transcribed spacer (ITS)microalgae identificationTetraselmis sp.

Identifiers

PMID37680531
PMCPMC10482269

What OpenQuestion holds

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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.