Allsopp N., Colville J.F. & Verboom G.A. (2014): Fynbos: Ecology, Evolution, and Conservation of a Megadiverse Region. Oxford University Press, Oxford.

Bailey C.L., Shackleton C.M., Geldenhuys C.J., Moshe D., Flemming G., Vink E.R., Rathogwa N.R. & Cawe S.G. (1999): Guide to and summary of the meta-database pertaining to selected attributes of South African indigenous forests and woodlands. Report ENV-P-C 99027, Division of Water, Environment and Forestry Technology, CSIR, Pretoria.

Born J., Linder H.P. & Desmet P. (2007): The Greater Cape Floristic Region. Journal of Biogeography 34: 147–162.

Doležel J., Greillhuber J. & Suda J. (2007): Estimation of nuclear DNA content in plants using flow cytometry. Nature Protocols 2: 2233–2244.

Goldblatt P. & Manning J.C. (2002): Plant Diversity of the Cape Region of Southern Africa. Annals of the Missouri Botanical Garden 89: 281–302.

Greilhuber J., Doležel J., Lysák M.A. & Bennett M.D. (2005): The origin, evolution and proposed stabilization of the terms ‘genome size’ and ‘C-value’ to describe nuclear DNA contents. Annals of Botany 95: 255–260.

Krejčíková J., Sudová R., Lučanová M., Trávníček P., Urfus T., Vít P., Weiss-Schneeweiss H., Kolano B., Oberlander K., Dreyer L.L. & Suda J. (2013): High ploidy diversity and distinct patterns of cytotype distribution in a widespread species of Oxalis in the Greater Cape Floristic Region. Annals of Botany 111: 641–649.

Linder H.P., Suda J., Weiss-Schneeweiss H., Trávníček P. & Bouchenak-Khelladi Y. (2017): Patterns, causes and consequences of genome size variation in Restionaceae of the Cape flora. Botanical Journal of Linnean Society 183: 515–531.

Low A.B. & Rebelo A.G. (1996): Vegetation of South Africa, Lesotho and Swaziland. Department of Environmental Affairs and Tourism, Pretoria.

Manning J. & Goldblatt P. (2012): Plants of the Greater Cape Floristic Region, 1: The Core Cape Flora. Strelitzia 29. South African National Biodiversity Institute, Pretoria.

Mucina L. & Rutherford (2006): The vegetation of South Africa, Lesotho and Swaziland. Strelitzia 19. South African National Biodiversity Institute, Pretoria.

Myers N., Mittermeier R.A., Mittermeier C.G., da Fonseca G.A.B. & Kent J. (2000): Biodiversity hotspots for conservation priorities. Nature 403: 853–858.

Oberlander K.C., Dreyer L.L., Goldblatt P., Suda J. & Linder P. (2016): Species-rich and polyploid-poor: Insights into the evolutionary role of whole-genome duplication from the Cape flora biodiversity hotspot. American Journal of Botany 103: 1336–1347.

Otto F. (1990): DAPI staining of fixed cells for high-resolution flow cytometry of nuclear DNA. In: Crissman H.A., Darzynkiewicz Z. (eds.): Methods in cell biology, Vol. 33. New York, NY, Academic Press.

Schmickl R., Liston A., Zeisek V., Oberlander K., Weitemier K., Straub S.C.K., Cronn R.C., Dreyer L.L. & Suda J. (2015): Phylogenetic marker development for target enrichment from transcriptome and genome skim data: the pipeline and its application in southern African Oxalis (Oxalidaceae). Molecular Ecology Resources 16: 1124–1135.

Shackleton C.M., Cawe S.G. & Geldenhuys C.J. (1999): Review of the definitions and classifications of South African indigenous forests and woodlands. Report ENV-P-C 99007, Division of Water, Environment and Forestry Technology, CSIR, Pretoria.

Snijman D.A. (2013): Plants of the Greater Cape Floristic Region, 2: The Extra Cape Flora. Strelitzia 30. South African National Biodiversity Institute, Pretoria.

Šmarda P., Bureš P., Horová L., Foggi B. & Rossi G. (2008): Genome size and GC content evolution of Festuca: ancestral expansion and subsequent reduction. Annals of Botany 101: 421–433.

Our aim is to gather all available data on genome size and ploidy level estimation of plants of the Greater Cape Floristic Region. The emphasis is on presenting valid, reliable and as complete as possible database records, based on best practice methods used in plant flow cytometry. For details on database purpose see the About section.

If unsure how to use the database, see help.

Flow cytometry

Holoploid genome size (Greilhuber et al. 2005) was estimated by means of propidium iodide FCM. For each plant, a piece of intact tissue (usually leaf or stem or ovary) was chopped together with an appropriate amount of an internal reference standard using a new razor blade in a Petri dish containing 0.5 ml of ice-cold Otto I buffer (0.1 M citric acid, 0.5% Tween 20) (Otto 1990, Doležel et al. 2007). The resulting suspension was filtered through a 42-µm nylon mesh and incubated at room temperature for at least 5 min. After incubation, the suspension was stained by using 1 ml of Otto II buffer (0.4 M Na₂HPO₄ · 12 H₂0) supplemented with the intercalating fluorescent dye propidium iodide, RNAase IIA (both at final concentrations of 50 µg/ml) and β-mercaptoethanol (2 µl/ml). Samples were stained for 5 min at room temperature and analysed using a Partec CyFlow cytometer (Partec GmbH., Münster, Germany) equipped with a 532 nm diode-pumped solid-state laser Cobolt Samba (Cobolt AB, Solna, Sweden) as the source of excitation light. Fluorescence intensity of 5000 particles was recorded, and data were analysed using Partec FloMax Software version 2.4d. Pisum sativum ‘Ctirad’ (2C = 8.76 pg; Doležel et al. 2007) served as the primary reference standard. Additional secondary standards (see table below) were used either to avoid a large difference in genome size between the standard and examined sample, or if the primary standard was unavailable. Nuclear genome sizes of all additional standards were recalibrated using Pisum sativum, based on repeated measurements on different days.

Additionally, AT-selective DAPI dye was used for the estimation of base composition. Sample preparation was exactly the same, but propidium iodide and RNAase were supplemented by DAPI dye at a final concentration 4 µg/ml. Analyses were conducted on a Partec Space cytometer (Partec GmbH., Münster, Germany) equipped with UV-led chip (365 nm). Computation of the base content followed Šmarda et al. (2008) via a publicly available excel spreadsheet.

Browse records according to taxonomy.

• Extinct (EX)
• Extinct in the Wild (EW)
• Regionally Extinct (RE)
• Critically Endangered, Possibly Extinct (CR PE)
• Critically Endangered (CR)
• Critically Rare Endangered (EN)
• Rare Vulnerable (VU)
• Near Threatened (NT)
• Least Concern (LC)
• Data Deficient (DD)
• Not Evaluated (NE)