dc.creatorClarindo, Wellington Ronildo
dc.creatorCarvalho, Carlos Roberto
dc.date2018-05-09T11:44:47Z
dc.date2018-05-09T11:44:47Z
dc.date2009-10-19
dc.date.accessioned2023-09-27T21:26:52Z
dc.date.available2023-09-27T21:26:52Z
dc.identifier00651281
dc.identifierhttps://doi.org/10.1016/j.acthis.2009.10.005
dc.identifierhttp://www.locus.ufv.br/handle/123456789/19413
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8960771
dc.descriptionPlant genome size has been measured by flow cytometry using propidium iodide as a dye for nuclear DNA staining. However, some authors have reported the occurrence of genome size estimation errors, especially in plants rich in secondary metabolites, such as the coffee tree. In this context, we tested an alternative cytometric protocol using the SYBR Green I as a fluorochrome for stoichiometrically staining nuclear double-stranded DNA in Coffea canephora (2x) and Coffea arabica (4x). The results showed that the respective mean genome size measured from nuclei stained with SYBR Green I and propidium iodide was statistically identical. However, the G0/G1 peaks of nuclei stained with SYBR Green I exhibited lower coefficient variations (1.57–2.85%) compared to those stained with propidium iodide (2.75–4.80%). Coefficient variation statistical data suggest that SYBR Green I is adequate for stoichiometric nuclei staining using this methodology. Our results provide evidence that SYBR Green I can be used in flow cytometry measurements of plants, with the advantages of minimizing errors in nuclear DNA content quantification, staining relatively quicker, with high affinity, and being less mutagenic than propidium iodide.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherActa Histochemica
dc.relationv. 113, Issue 2, p. 221-225, February 2011
dc.rightsElsevier GmbH.
dc.subjectCoffea Arabica
dc.subjectCoffea canephora
dc.subjectCoefficient of variation
dc.subjectFlow cytometry
dc.subjectGenome size
dc.subjectPropidium iodide
dc.subjectSYBR Green I
dc.titleFlow cytometric analysis using SYBR Green I for genome size estimation in coffee
dc.typeArtigo


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