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Assessing plant cell ploidy through confocal image analysis methods

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Assessing plant cell ploidy through confocal

image analysis methods

Valutazione della poidia in cellule vegetali attraverso

elaborazione di immagini di microscopia confocale

Ivan A. Sciascia, Gennaro Carotenuto and Andrea Genre

Key words: 3D measurements, microscopy, DNA volume, nuclear volume

Abstract

Repeated endoreduplication cycles of DNA occur in cells with a consequent increase of nuclear ploidy level (from 2C to above 256C). Endoreduplication is common in plant development and is directly influencing cell size. In turn, the larger surface and volume of endoreduplicated cells is believed to promote water and nutrient absorption in root cells and metabolic capacities. Plant biotrophs, such as arbuscular mycorrhizal (AM) fungi are reported to trigger endoreduplication in their host plants (Lingua et al., 2001), possibly in support of the enhanced metabolic demand generated by this symbiosis. Since both nuclear volume and surface area are known to depend on the ploidy level we compared different image analysis methods to estimate nuclear diameter, volume and surface area as reporters of ploidy distribution in mycorrhizal and non-mycorrhizal root sections.

Medicago truncatula root organ cultures (ROCs) were inoculated in vitro with the

AM fungus G. margarita. About 1 cm long uncolonized and colonized root segments were cut in 100 m thick sections using a vibratome (Oxford Vibratome sectioning system) and stained with DAPI. Sections were imaged using an upright Leica TCS SP2 confocal microscope fitted with a long distance 40X water-immersion objective (HCX Apo 0.80), using the 405 nm excitation light. Slices containing colonized roots were totally scanned, and Z-stacks derived from approximately 200 optical sections with a 1.5 µm Z step were used for surface and volumetric measurements.

Confocal images were analysed using Fiji ImageJ software (http://imagej.nih.gov/; http://fiji.sc/Fiji). First, the area of equatorial nuclear sections was measured by manually outlining the DAPI-stained area in Z-stack projections. On the base of manual measurements, we designed a plug-in for surface extimation with a high circularity index. As a second semi-automated method, we created an ImageJ __________________

Ivan A. Sciascia

Department of Life Sciences and Systems Biology, University of Torino, viale Mattioli 25 10125 Torino Italia, ivan.sciascia@unito.it

Gennaro Carotenuto

Department of Life Sciences and Systems Biology, University of Torino, viale Mattioli 25 10125 Torino Italia, gennaro.carotenuto@unito.it

Andrea Genre

Department of Life Sciences and Systems Biology, University of Torino, viale Mattioli 25 10125 Torino Italia, andrea.genre@unito.it

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2 Ivan A. Sciascia, Gennaro Carotenuto and Andrea Genre macro to automatically measure the area of nuclei. Briefly, this macro includes the following steps of image analysis: a) subtraction of background noise; b) automatic thresholding for each slice to create a mask function; c) mask adjustment and convertion to black and white d) selection overlay on the original image, from which final measurements were taken using the 'analyse particles' ImageJ function. Lastly, two ImageJ plugins were used to generate fully automated volumetric measurements and 3D reconstructions of all imaged nuclei. Nuclear volumes were determined using the 3D Object Counter plug-in that estimates the volumes of confocal Z-stack images. Furthermore, the Comets Tracks Track mate plug-in was used to automatically track individual nuclei within the Z-stack and measure their surface and volume. The populations of surface and volume measurements were distributed into classes of fixed amplitude based on Sturges’s law and k-means. The mean values for each class and the expected DNA volume (in Mbp) for progressive endoreduplication cycles were compared by linear and non linear regressions models. A total of 3250 and 5500 nuclei were measured in wild-type un-colonized and AM-colonized roots, respectively.

Confocal imaging of colonized roots showed large and lobed nuclei in the vicinity of intraradical AM fungus. Measuring the surface areas and volumes of nuclei with the different approaches, we showed the significant increase of this parameters in mycorrhizal roots compared to controls. Concerning surface area, the manual measurements provided more accurate results than both our designed macro and the Track mate plugin. In addition, based on surface measurements, we observed the presence of eight nuclear populations, matching with the 8 degrees of endoreduplication recorded through flow cytometry (Carotenuto, unplublished). Lastly, by applying the approach developed by Joytchev et al. (2006), we analyzed the correlation between expected DNA content and the classes of nuclear volumes estimated by 3D Object Counter and Comets Tracks Track mate plug-in. Five regression models were used (linear, logarithmic, quadratic, cubic and power), confirming a similar clustering and a significantly positive correlation for both methods.

References

1. Lingua G1, Fusconi A, Berta G. The nucleus of differentiated root plant cells: modifications induced by arbuscular mycorrhizal fungi. Eur J Histochem. 2001;45(1):9-20.

2. Jovtchev G1, Schubert V, Meister A, Barow M, Schubert I.(2006) Nuclear DNA content and nuclear and cell volume are positively correlated in angiosperms. Cytogenet Genome Res. 2006;114(1):77-82.

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