Evidence map›Paper›PMID 24965370›Full record

ArticleProtoplasma2015

Weighted morphology: a new approach towards phylogenetic assessment of Nostocales (Cyanobacteria).

Swati Mishra, Poonam Bhargava, Siba Prasad Adhikary, Anubhav Pradeep, Lal Chand Rai

Abstract read
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In one paragraph

Article in Protoplasma, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Classification ofFrontiers in microbiology · 2025
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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 2 countries.

Swati MishraCentre of Advanced Study in Botany, Banaras Hindu University, Varanasi, 221005, India, swatibhu@gmail.com.
Poonam Bhargava
Siba Prasad Adhikary
Anubhav Pradeep
Lal Chand Rai
Banaras Hindu University · INBirla Institute of Scientific Research · INUniversity of Kentucky · USVisva-Bharati University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The classification of order Nostocales (Cyanobacteria) and inter relationships of morphologically similar taxa is still debatable due to ever changing morphological features. No attempt has been made to improve the morphological taxonomy despite the fact that it is the morphology that represents the totality of genes. To test the validity of morphological taxonomy and fine tune the phylogenetic relationships within the order Nostocales a new weighted morphology approach was applied by using 76 isolates and their 16S rRNA gene sequences. Further, the study was extended with morphological data set of the remaining 232 taxa for which no molecular data are yet available. Trichome aggregation, heterocyst shape, and akinete shape are suggested as important and stable features for identification. At 30% weight assignment to the selected morphological characters, morphological taxonomy found 36% compatible with 16S tree. Adding weight to the morphological characters considerably improved the congruence between the morphology and 16S rRNA-based phylogenetic trees of the order Nostocales. When the weighting procedure was extended to all the Nostocalean members irrespective of molecular data availability, it was found that Nostoc sphaericum and Nostoc microscopicum closely assembled in a single clade. Closer arrangement of Aulosira and Nodularia represent the subfamily aulosirae (Bornet and Flahault Ann Sci Nat Bot 7:223-224, 1888) while taxonomic affiliation of Cylindrospermum with Nostoc, Anabaena, and Raphidiopsis representing the subfamily anabaenae (Bornet and Flahault Ann Sci Nat Bot 7:223-224, 1888) was resolved.

Indexed as

PhylogenyCyanobacteria

Identifiers

PMID24965370
OpenAlexW2066783771

What OpenQuestion holds

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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.