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Key genes as stress indicators in the ubiquitous diatom Skeletonema marinoi

Overview of attention for article published in BMC Genomics, May 2015
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Title
Key genes as stress indicators in the ubiquitous diatom Skeletonema marinoi
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1574-5
Pubmed ID
Authors

Chiara Lauritano, Ida Orefice, Gabriele Procaccini, Giovanna Romano, Adrianna Ianora

Abstract

The dense phytoplankton blooms that characterize productive regions and seasons in the oceans are dominated, from high to low latitudes and from coast line to open ocean, by comparatively few, often cosmopolitan species of diatoms. These key dominant species may undergo dramatic changes due to global climate change. In order to identify molecular stress-indicators for the ubiquitous diatom species Skeletonema marinoi, we tested stress-related genes in different environmental conditions (i.e. nutrient starvation/depletion, CO2-enrichment and combined effects of these stressors) using RT-qPCR. The data show that these stressors impact algal growth rate, inducing early aging and profound changes in expression levels of the genes of interest. Most analyzed genes (e.g. antioxidant-related and aldehyde dehydrogenases) were strongly down-regulated which may indicate a strategy to avoid unnecessary over-investment in their respective proteins. By contrast, key genes were activated (e.g. HSPs, GOX) which may allow the diatom species to better cope with adverse conditions. We propose the use of this panel of genes as early bio-indicators of environmental stress factors in a changing ocean.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Researcher 18 23%
Student > Master 13 17%
Student > Bachelor 5 6%
Professor > Associate Professor 4 5%
Other 4 5%
Unknown 13 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 40%
Environmental Science 9 12%
Biochemistry, Genetics and Molecular Biology 8 10%
Earth and Planetary Sciences 3 4%
Unspecified 1 1%
Other 6 8%
Unknown 20 26%
Attention Score in Context

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 29 May 2015.
All research outputs
#18,411,569
of 22,807,037 outputs
Outputs from BMC Genomics
#8,179
of 10,650 outputs
Outputs of similar age
#192,580
of 266,679 outputs
Outputs of similar age from BMC Genomics
#211
of 254 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,650 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.