Evidence map›Paper›PMID 25926963›Full record

ArticleIranian journal of microbiology2014

Identification of Chlorophyceae based on 18S rDNA sequences from Persian Gulf.

Raheem Haddad, Esmat Alemzadeh, Ali-Reza Ahmadi, Ramin Hosseini, Maryam Moezzi

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  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

5 authors at 3 institutions in 1 country.

Raheem HaddadDepartment of Agricultural Biotechnology, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran.
Esmat AlemzadehDepartment of Agricultural Biotechnology, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran.
Ali-Reza AhmadiDepartment of Biomedical Sciences, Alzahra University, Tehran, Iran.
Ramin HosseiniDepartment of Agricultural Biotechnology, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran.
Maryam MoezziPersian Gulf & Oman Sea Ecological Research Institute, Bandar Abbas, Iran.
Imam Khomeini International University · IRAlzahra University · IRPersian Gulf University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesChlorophyceae are important constituents of marine phytoplankton. The taxonomy of Chlorophyceae was traditionally based solely on morphological characteristics. In the present research project, genetic diversity was investigated to analyze five species of Chlorophyceae from waters of the Persian Gulf. MATERIALS AND

methodsA clone library of the ribosomal small subunit RNA gene (18S rDNA) in the nuclear genome was constructed by PCR, and then, after examining the clones, selected clones were sequenced. The determined clone sequences were analyzed by a similarity search of the NCBI GenBank database using BLAST. RESULTS AND

conclusionEleven sequences were identified correctly and used for phylogenetic analysis. We identified species of Chlorophyta (Chlorella sorokiniana, Chlamydomonas sp., Neochloris aquatic, Picochlorum sp. and Nannochloris atomus) without the need to conduct extensive colony isolation techniques. Therefore, this improved molecular method can be used to generate a robust database describing the species diversity of environmental samples.

Indexed as

18S rDNAChlorophyceaeClone libraryPersian GulfPhylogeny

Identifiers

PMID25926963
PMCPMC4411431
OpenAlexW2112143181

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.