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Quantitative testing of the methodology for genome size estimation in plants using flow cytometry: a case study of the Primulina genus

Overview of attention for article published in Frontiers in Plant Science, May 2015
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Title
Quantitative testing of the methodology for genome size estimation in plants using flow cytometry: a case study of the Primulina genus
Published in
Frontiers in Plant Science, May 2015
DOI 10.3389/fpls.2015.00354
Pubmed ID
Authors

Jing Wang, Juan Liu, Ming Kang

Abstract

Flow cytometry (FCM) is a commonly used method for estimating genome size in many organisms. The use of FCM in plants is influenced by endogenous fluorescence inhibitors and may cause an inaccurate estimation of genome size; thus, falsifying the relationship between genome size and phenotypic traits/ecological performance. Quantitative optimization of FCM methodology minimizes such errors, yet there are few studies detailing this methodology. We selected the genus Primulina, one of the most representative and diverse genera of the Old World Gesneriaceae, to evaluate the methodology effect on determining genome size. Our results showed that buffer choice significantly affected genome size estimation in six out of the eight species examined and altered the 2C-value (DNA content) by as much as 21.4%. The staining duration and propidium iodide (PI) concentration slightly affected the 2C-value. Our experiments showed better histogram quality when the samples were stained for 40 min at a PI concentration of 100 μg ml(-1). The quality of the estimates was not improved by 1-day incubation in the dark at 4°C or by centrifugation. Thus, our study determined an optimum protocol for genome size measurement in Primulina: LB01 buffer supplemented with 100 μg ml(-1) PI and stained for 40 min. This protocol also demonstrated a high universality in other Gesneriaceae genera. We report the genome size of nine Gesneriaceae species for the first time. The results showed substantial genome size variation both within and among the species, with the 2C-value ranging between 1.62 and 2.71 pg. Our study highlights the necessity of optimizing the FCM methodology prior to obtaining reliable genome size estimates in a given taxon.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Researcher 6 15%
Student > Master 5 12%
Professor 4 10%
Student > Bachelor 3 7%
Other 4 10%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 39%
Biochemistry, Genetics and Molecular Biology 13 32%
Chemical Engineering 1 2%
Psychology 1 2%
Engineering 1 2%
Other 0 0%
Unknown 9 22%
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 19 May 2015.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Frontiers in Plant Science
#15,975
of 20,080 outputs
Outputs of similar age
#223,003
of 266,320 outputs
Outputs of similar age from Frontiers in Plant Science
#220
of 275 outputs
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