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Telomere length measurement by qPCR in birds is affected by storage method of blood samples

Overview of attention for article published in Oecologia, May 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Telomere length measurement by qPCR in birds is affected by storage method of blood samples
Published in
Oecologia, May 2017
DOI 10.1007/s00442-017-3887-3
Pubmed ID
Authors

Sophie Reichert, Hannah Froy, Winnie Boner, Theresa M. Burg, Francis Daunt, Robert Gillespie, Kate Griffiths, Sue Lewis, Richard A. Phillips, Dan H. Nussey, Pat Monaghan

Abstract

Given the potential role of telomeres as biomarkers of individual health and ageing, there is an increasing interest in studying telomere dynamics in a wider range of taxa in the fields of ecology and evolutionary biology. Measuring telomere length across the lifespan in wild animal systems is essential for testing these hypotheses, and may be aided by archived blood samples collected as part of longitudinal field studies. However, sample collection, storage, and DNA extraction methods may influence telomere length measurement, and it may, therefore, be difficult to balance consistency in sampling protocol with making the most of available samples. We used two complementary approaches to examine the impacts of sample storage method on measurements of relative telomere length (RTL) by qPCR, particularly focusing on FTA (Flinders Technology Associates) cards as a long-term storage solution. We used blood samples from wandering albatrosses collected over 14 years and stored in three different ways (n = 179), and also blood samples from captive zebra finches (n = 30) that were each stored using three different methods. Sample storage method influenced RTL in both studies, and samples on FTA cards had significantly shorter RTL measurements. There was no significant correlation between RTL measured in zebra finch blood on FTA cards and the same samples stored either as frozen whole blood or as extracted DNA. These results highlight the importance of consistency of sampling protocol, particularly in the context of long-term field studies, and suggest that FTA cards should not be used as a long-term storage solution to measure RTL without validation.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Researcher 16 19%
Student > Master 8 10%
Student > Bachelor 6 7%
Student > Doctoral Student 4 5%
Other 6 7%
Unknown 20 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 39%
Biochemistry, Genetics and Molecular Biology 10 12%
Environmental Science 9 11%
Neuroscience 2 2%
Medicine and Dentistry 2 2%
Other 5 6%
Unknown 23 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 June 2017.
All research outputs
#6,855,038
of 22,977,819 outputs
Outputs from Oecologia
#1,488
of 4,233 outputs
Outputs of similar age
#107,956
of 313,676 outputs
Outputs of similar age from Oecologia
#10
of 38 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,233 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 64% 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 313,676 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 65% of its contemporaries.
We're also able to compare this research output to 38 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 73% of its contemporaries.