↓ Skip to main content

Ostreococcus tauri is a new model green alga for studying iron metabolism in eukaryotic phytoplankton

Overview of attention for article published in BMC Genomics, May 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
70 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Ostreococcus tauri is a new model green alga for studying iron metabolism in eukaryotic phytoplankton
Published in
BMC Genomics, May 2016
DOI 10.1186/s12864-016-2666-6
Pubmed ID
Authors

Gaëlle Lelandais, Ivo Scheiber, Javier Paz-Yepes, Jean-Claude Lozano, Hugo Botebol, Jana Pilátová, Vojtěch Žárský, Thibaut Léger, Pierre-Louis Blaiseau, Chris Bowler, François-Yves Bouget, Jean-Michel Camadro, Robert Sutak, Emmanuel Lesuisse

Abstract

Low iron bioavailability is a common feature of ocean surface water and therefore micro-algae developed original strategies to optimize iron uptake and metabolism. The marine picoeukaryotic green alga Ostreococcus tauri is a very good model for studying physiological and genetic aspects of the adaptation of the green algal lineage to the marine environment: it has a very compact genome, is easy to culture in laboratory conditions, and can be genetically manipulated by efficient homologous recombination. In this study, we aimed at characterizing the mechanisms of iron assimilation in O. tauri by combining genetics and physiological tools. Specifically, we wanted to identify and functionally characterize groups of genes displaying tightly orchestrated temporal expression patterns following the exposure of cells to iron deprivation and day/night cycles, and to highlight unique features of iron metabolism in O. tauri, as compared to the freshwater model alga Chalamydomonas reinhardtii. We used RNA sequencing to investigated the transcriptional responses to iron limitation in O. tauri and found that most of the genes involved in iron uptake and metabolism in O. tauri are regulated by day/night cycles, regardless of iron status. O. tauri lacks the classical components of a reductive iron uptake system, and has no obvious iron regulon. Iron uptake appears to be copper-independent, but is regulated by zinc. Conversely, iron deprivation resulted in the transcriptional activation of numerous genes encoding zinc-containing regulation factors. Iron uptake is likely mediated by a ZIP-family protein (Ot-Irt1) and by a new Fea1-related protein (Ot-Fea1) containing duplicated Fea1 domains. The adaptation of cells to iron limitation involved an iron-sparing response tightly coordinated with diurnal cycles to optimize cell functions and synchronize these functions with the day/night redistribution of iron orchestrated by ferritin, and a stress response based on the induction of thioredoxin-like proteins, of peroxiredoxin and of tesmin-like methallothionein rather than ascorbate. We briefly surveyed the metabolic remodeling resulting from iron deprivation. The mechanisms of iron uptake and utilization by O. tauri differ fundamentally from those described in C. reinhardtii. We propose this species as a new model for investigation of iron metabolism in marine microalgae.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 15 21%
Student > Bachelor 7 10%
Student > Master 5 7%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 39%
Biochemistry, Genetics and Molecular Biology 20 29%
Environmental Science 7 10%
Chemistry 2 3%
Medicine and Dentistry 2 3%
Other 3 4%
Unknown 9 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 September 2017.
All research outputs
#5,991,259
of 11,691,744 outputs
Outputs from BMC Genomics
#2,878
of 6,968 outputs
Outputs of similar age
#102,283
of 275,390 outputs
Outputs of similar age from BMC Genomics
#75
of 197 outputs
Altmetric has tracked 11,691,744 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,968 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.