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A constrained SSU-rRNA phylogeny reveals the unsequenced diversity of photosynthetic Cyanobacteria (Oxyphotobacteria)

Overview of attention for article published in BMC Research Notes, July 2018
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Title
A constrained SSU-rRNA phylogeny reveals the unsequenced diversity of photosynthetic Cyanobacteria (Oxyphotobacteria)
Published in
BMC Research Notes, July 2018
DOI 10.1186/s13104-018-3543-y
Pubmed ID
Authors

Luc Cornet, Annick Wilmotte, Emmanuelle J. Javaux, Denis Baurain

Abstract

Cyanobacteria are an ancient phylum of prokaryotes that contain the class Oxyphotobacteria. This group has been extensively studied by phylogenomics notably because it is widely accepted that Cyanobacteria were responsible for the spread of photosynthesis to the eukaryotic domain. The aim of this study was to evaluate the fraction of the oxyphotobacterial diversity for which sequenced genomes are available for genomic studies. For this, we built a phylogenomic-constrained SSU rRNA (16S) tree to pinpoint unexploited clusters of Oxyphotobacteria that should be targeted for future genome sequencing, so as to improve our understanding of Oxyphotobacteria evolution. We show that only a little fraction of the oxyphotobacterial diversity has been sequenced so far. Indeed 31 rRNA clusters of the 60 composing the photosynthetic Cyanobacteria have a fraction of sequenced genomes < 1%. This fraction remains low (min = 1%, median = 11.1%, IQR = 7.3%) within the remaining "sequenced" clusters that already contain some representative genomes. The "unsequenced" clusters are scattered across the whole Oxyphotobacteria tree, at the exception of very basal clades. Yet, these clades still feature some (sub)clusters without any representative genome. This last result is especially important, as these basal clades are prime candidate for plastid emergence.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 33%
Student > Bachelor 3 14%
Student > Ph. D. Student 3 14%
Professor > Associate Professor 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 52%
Biochemistry, Genetics and Molecular Biology 4 19%
Environmental Science 1 5%
Immunology and Microbiology 1 5%
Unknown 4 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 October 2019.
All research outputs
#11,158,597
of 14,674,316 outputs
Outputs from BMC Research Notes
#2,088
of 3,330 outputs
Outputs of similar age
#187,498
of 272,781 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
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