Evidence map›Paper›PMID 25226829›Full record

ArticleProtoplasma2015

Decoding cyanobacterial phylogeny and molecular evolution using an evonumeric approach.

Prashant Singh, Satya Shila Singh, Marina Aboal, Arun Kumar Mishra

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.4field-weighted citation impact, top 10% 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, 35 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

4 authors at 4 institutions in 2 countries.

Prashant SinghLaboratory of Microbial Genetics, Department of Botany, Banaras Hindu University, Varanasi, 221005, India.
Satya Shila Singh
Marina Aboal
Arun Kumar Mishra
Banaras Hindu University · INGuru Ghasidas Vishwavidyalaya · INNational Centre for Cell Science · INUniversidad de Murcia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forty-one heterocystous cyanobacteria strains representing 12 cyanobacterial genera collected from all across India were assessed in phylogenetic and evolutionary perspectives. The structural gene 16S ribosomal RNA (rRNA) and the functional genes nifD and psbA were selected as molecular chronometers in this study. The phylogenetic analyses demonstrated the monophyly of heterocystous cyanobacteria with significant intermixing, along with establishing the polyphyly of Stigonematales, strongly supporting the need for re-amendments in cyanobacterial taxonomy and systematics. Molecular trends obtained did not clearly reflect the phenotypic affiliations, thus advocating for genetic characterizations using more molecular markers. Large-scale evonumeric extrapolations of gene sequence data of all the three molecular markers was performed to assess the evolutionary pace of heterocystous cyanobacteria on the basis of nucleotide diversity, recombination frequencies, and the DNA divergence between the sampled taxa. The obtained results tilted the evolutionary pace in favor of the less complex Nostocales thus indicating that possibly the simple non-branched forms are more flexible and adaptive for evolutionary diversifications as compared to the more complex and branched ones. This study hence represents a unique blend of molecular phylogeny with evogenomic sequence analyses for understanding the genetic diversity, phylogeny, and evolutionary pace within the heterocystous cyanobacteria.

Indexed as

Evolution, MolecularCyanobacteriaDNA, BacterialGenes, BacterialGenetic VariationMolecular TypingPhotosystem II Protein ComplexPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialPhotosystem II Protein Complexphotosystem II, psbA subunitRNA, Ribosomal, 16S

Identifiers

PMID25226829
OpenAlexW1988146915

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.