Literature DB >> 20653012

Methodology significantly affects genome size estimates: quantitative evidence using bryophytes.

Jillian D Bainard1, Aron J Fazekas, Steven G Newmaster.   

Abstract

Flow cytometry (FCM) is commonly used to determine plant genome size estimates. Methodology has improved and changed during the past three decades, and researchers are encouraged to optimize protocols for their specific application. However, this step is typically omitted or undescribed in the current plant genome size literature, and this omission could have serious consequences for the genome size estimates obtained. Using four bryophyte species (Brachythecium velutinum, Fissidens taxifolius, Hedwigia ciliata, and Thuidium minutulum), three methodological approaches to the use of FCM in plant genome size estimation were tested. These included nine different buffers (Baranyi's, de Laat's, Galbraith's, General Purpose, LB01, MgSO(4), Otto's, Tris.MgCl(2), and Woody Plant), seven propidium iodide (PI) staining periods (5, 10, 15, 20, 45, 60, and 120 min), and six PI concentrations (10, 25, 50, 100, 150, and 200 microg ml(-1)). Buffer, staining period and staining concentration all had a statistically significant effect (P = 0.05) on the genome size estimates obtained for all four species. Buffer choice and PI concentration had the greatest effect, altering the 1C-values by as much as 8% and 14%, respectively. As well, the quality of the data varied with the different methodology used. Using the methodology determined to be the most accurate in this study (LB01 buffer and PI staining for 20 min at 150 microg ml(-1)), three new genome size estimates were obtained: B. velutinum: 0.46 pg, H. ciliata: 0.30 pg, and T. minutulum: 0.46 pg. While the peak quality of flow cytometry histograms is important, researchers must consider that changes in methodology can also affect the relative peak positions and therefore the genome size estimates obtained for plants using FCM.

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Year:  2010        PMID: 20653012     DOI: 10.1002/cyto.a.20902

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  8 in total

1.  Nuclear DNA content of Pongamia pinnata L. and genome size stability of in vitro-regenerated plantlets.

Authors:  Rimjhim Roy Choudhury; Supriyo Basak; Aadi Moolam Ramesh; Latha Rangan
Journal:  Protoplasma       Date:  2013-08-29       Impact factor: 3.356

2.  DNA content variation in monilophytes and lycophytes: large genomes that are not endopolyploid.

Authors:  Jillian D Bainard; Thomas A Henry; Luke D Bainard; Steven G Newmaster
Journal:  Chromosome Res       Date:  2011-08       Impact factor: 5.239

3.  The effects of rapid desiccation on estimates of plant genome size.

Authors:  Jillian D Bainard; Brian C Husband; Sarah J Baldwin; Aron J Fazekas; T Ryan Gregory; Steven G Newmaster; Paul Kron
Journal:  Chromosome Res       Date:  2011-08       Impact factor: 5.239

4.  Genome size and endopolyploidy evolution across the moss phylogeny.

Authors:  Jillian D Bainard; Steven G Newmaster; Jessica M Budke
Journal:  Ann Bot       Date:  2020-03-29       Impact factor: 4.357

5.  Deep ultraviolet mapping of intracellular protein and nucleic acid in femtograms per pixel.

Authors:  Man C Cheung; James G Evans; Brian McKenna; Daniel J Ehrlich
Journal:  Cytometry A       Date:  2011-07-27       Impact factor: 4.355

6.  Induction and flow cytometry identification of tetraploids from seed-derived explants through colchicine treatments in Catharanthus roseus (L.) G. Don.

Authors:  Shi-Hai Xing; Xin-Bo Guo; Quan Wang; Qi-Fang Pan; Yue-Sheng Tian; Pin Liu; Jing-Ya Zhao; Guo-Feng Wang; Xiao-Fen Sun; Ke-Xuan Tang
Journal:  J Biomed Biotechnol       Date:  2011-05-29

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

Authors:  Jing Wang; Juan Liu; Ming Kang
Journal:  Front Plant Sci       Date:  2015-05-19       Impact factor: 5.753

8.  On the current status of Phakopsora pachyrhizi genome sequencing.

Authors:  Marco Loehrer; Alexander Vogel; Bruno Huettel; Richard Reinhardt; Vladimir Benes; Sébastien Duplessis; Björn Usadel; Ulrich Schaffrath
Journal:  Front Plant Sci       Date:  2014-08-27       Impact factor: 5.753

  8 in total

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