Literature DB >> 28859375

Filamentous sieve element proteins are able to limit phloem mass flow, but not phytoplasma spread.

Laura Pagliari1, Sara Buoso1, Simonetta Santi1, Alexandra C U Furch2, Marta Martini1, Francesca Degola3, Alberto Loschi1, Aart J E van Bel4, Rita Musetti1.   

Abstract

In Fabaceae, dispersion of forisomes-highly ordered aggregates of sieve element proteins-in response to phytoplasma infection was proposed to limit phloem mass flow and, hence, prevent pathogen spread. In this study, the involvement of filamentous sieve element proteins in the containment of phytoplasmas was investigated in non-Fabaceae plants. Healthy and infected Arabidopsis plants lacking one or two genes related to sieve element filament formation-AtSEOR1 (At3g01680), AtSEOR2 (At3g01670), and AtPP2-A1 (At4g19840)-were analysed. TEM images revealed that phytoplasma infection induces phloem protein filament formation in both the wild-type and mutant lines. This result suggests that, in contrast to previous hypotheses, sieve element filaments can be produced independently of AtSEOR1 and AtSEOR2 genes. Filament presence was accompanied by a compensatory overexpression of sieve element protein genes in infected mutant lines in comparison with wild-type lines. No correlation was found between phloem mass flow limitation and phytoplasma titre, which suggests that sieve element proteins are involved in defence mechanisms other than mechanical limitation of the pathogen.
© The Author 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology.

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Keywords:  Arabidopsis thaliana; combined microscopy; phloem mass flow; phytoplasmas; sieve element occlusion; sieve element proteins

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Year:  2017        PMID: 28859375      PMCID: PMC5853782          DOI: 10.1093/jxb/erx199

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


Introduction

Phytoplasmas are prokaryotic plant pathogens belonging to the class Mollicutes. They are transferred by insect vectors to the phloem, where they exercise their pathogenic influence on the plant (Lee ; Bertaccini and Duduk, 2009; Bertaccini ). Phytoplasma-associated diseases have an enormous impact on agricultural yield, being associated with disorders affecting hundreds of plant species, including many economically important crops (Namba, 2011; Bertaccini ; Valiunas ). Thus far, phytoplasma outbreak and spread can only be controlled by using insecticides against vector populations or by eradicating infected plants. Alternative strategies, such as the individuation of resistant or tolerant plants (Osler , 2016), require a thorough notion of the physiological mechanisms underlying the interactions between plant host and phytoplasmas. Phytoplasmas are mostly confined to the sieve elements (SEs) in phloem tissue. Although their impact on the host is of major interest for agricultural yield and basic sciences, virtually nothing is known about the basics of the interaction between phytoplasmas and SEs. Phytoplasmas greatly affect the ultrastructural organization of SEs, probably by establishing connections to acquire host-derived nutrients (Buxa ; Musetti ; Pagliari ). However, it is unclear which of the ultrastructural modifications in SEs are related to resource acquisition by phytoplasmas and which are to be regarded as protective measures of the host plant against phytoplasma spread (Musetti ; Pagliari ). In infected Vicia faba plants, phytoplasmas also trigger structural modifications of forisomes in SEs (Musetti ). Forisomes are spindle-shaped, giant SE protein bodies, typical of SEs in Fabaceae. They can undergo a calcium-induced dispersion that leads to their expansion and to the occlusion of the sieve pores (Knoblauch , 2003; van Bel ). In this way, forisomes impair mass flow and may limit pathogen invasion and spread (Musetti ; van Bel, 2003; Srivastava ). Forisome components are encoded by members of the Sieve Element Occlusion (SEO) gene family, first described in Fabaceae (Pélissier ) and subsequently found to be highly conserved among eudicotyledons (Pélissier ; Rüping ; Ernst , 2012; Froelich ). In non-Fabaceae plants, SEO genes encode filamentous SE proteins. SE protein filaments and forisomes may share several structural and functional features (Rüping ; Srivastava ), but instead of the well-ordered forisome structure, filamentous SE proteins form electron-dense, variously and irregularly branched strands (Sjolund, 1997; Batailler , Ernst ; Jekat ). In Arabidopsis thaliana, SE protein filament formation requires two so-called Sieve Element Occlusion Related (SEOR) genes, AtSEOR1 (At3g01680) and AtSEOR2 (At3g01670) (Anstead ). These two contiguous genes, together with one pseudogene (At1g67790), are located on chromosome 3 and are the sole AtSEOR genes identified in Arabidopsis (Rüping ; Anstead ). No functional redundancy between these genes has been detected (Anstead ). The heterodimer formation mechanism is still unclear, and AtSEOR1 and AtSEOR2 interaction seems to require one or more additional unknown protein (Anstead ; Jekat ). Even if AtSEOR1 and AtSEOR2 are the sole proteins known to be necessary for SE protein filament formation, the phloem protein 2, AtPP2-A1, encoded by the gene At4g19840, is associated with the SE protein filaments in Arabidopsis (Batailler ). In contrast to the extensive information on forisome functioning (Knoblauch and Peters, 2004; Furch , 2009; Srivastava ), the role of SE protein filaments in non-Fabaceae plants is still a matter of debate (Froelich ; Ernst ; Knoblauch , 2014; Jekat ). In Arabidopsis, SE protein filament subunits are synthesized in immature SEs and assembled as large protein bodies, which disperse and relocate at the cell periphery along with SE maturation (Evert ; Ehlers ; Froelich ; Ernst ). Under biotic and abiotic stress, SE protein filaments displace from their parietal position and assemble in the SE lumen as strands or a meshwork to plug the sieve plate (Achor ; Musetti ; Froelich ; Jekat ). Yet, different approaches led to conflicting conclusions with regard to actual occluding capabilities of SE proteins in Arabidopsis (Froelich ; Ernst ; Jekat , Knoblauch ). Considering the fact that SE protein agglutination and plugging is a typical plant response to phytoplasma infection (Lherminier ; Gamalero ; Luna ; Musetti ), the effect of potential SE occlusion by SEOR proteins in response to phytoplasma infection in Arabidopsis was investigated here. In a multidisciplinary approach, we investigated if phytoplasma-triggered SE protein filament presence really limits the phloem flow and if this strategy can eventually limit pathogen capability to proliferate in phloem tissue. To elucidate these aspects, wild-type and AtSEOR or AtPP2-A1 Arabidopsis mutant lines were used, both in healthy and in phytoplasma-infected conditions.

Materials and methods

Arabidopsis mutant lines

Arabidopsis mutant lines, lacking one or both AtSEOR genes reported to be essential for SE protein filament formation (Anstead ), were used. Seeds for the single AtSEOR gene knockout lines, SALK_081968C (AtSEOR1 knockout, hereafter called Atseor1ko) and SALK_148614C (AtSEOR2 knockout, hereafter called Atseor2ko), were obtained from the Nottingham Arabidopsis Stock Centre (NASC). Two knockout/knockdown plant lines, obtained from the Institute of Plant Biology and Biotechnology of the University of Münster (Germany), were also used. These mutants, previously described by Jekat , have the AtSEOR1 gene knockout and the AtSEOR2 gene knockdown (Atseor1ko/Atseor2kd) or the AtSEOR1 gene knockdown and AtSEOR2 gene knockout (Atseor1kd/Atseor2ko), allowing the impairment of the expression of both genes (Jekat ). To study the role of PP2 protein in filament formation, the AtPP2-A1 gene knockout line SALK_080914C was used. All mutants were in a Columbia (Col-0) background. In Table 1, the main features of the Arabidopsis mutant lines we analysed are summarized.
Table 1.

List of Arabidopsis mutant lines used for the experiments

Line Atseor1ko Atseor2ko Atseor1ko Atseor2kd Atseor1kd Atseor2ko Atpp2-a1ko
Gene At3g01680.1At3g01670.1At3g01680.1 At3g01670.1At3g01680.1 At3g01670.1At4g19840.1
Source SALK_081968C (NASC)SALK_148614C (NASC) Jekat et al. (2013) Jekat et al. (2013) SALK_080914C (NASC)
Transformation T-DNA insertionT-DNA insertionAt3g01680.1 T-DNA insertionAt3g01670.1 hpRNA cassettesAt3g01680.1 hpRNA cassettesAt3g01670.1 T-DNA insertionT-DNA insertion
List of Arabidopsis mutant lines used for the experiments

Plant materials and insect vectors

Arabidopsis thaliana plants were infected with a phytoplasma strain related to ‘Candidatus Phytoplasma asteris’ (‘Ca. P. asteris’, 16SrI-B subgroup), called Chrysanthemum yellows (CY) phytoplasma (Lee ). As extensively described by Pagliari , the fourth and fifth instars of the insect vector Euscelidius variegatus (Bosco , 2007) were transferred to CY-infected daisy plants (Chrysanthemum carinatum Schousboe), used as the source of inoculum, for a 7 d acquisition-feeding period. Thirty days after nymph transfer, 45-day-old A. thaliana plants were individually exposed to three infective insects. Healthy control plants were exposed to healthy insects. At the end of the 7 d inoculation-feeding period, insects were manually removed. Both insect vectors and A. thaliana plants were grown at 20/22 °C, under short-day conditions (9 h light/15 h dark period). For every analysis, fully symptomatic and healthy control A. thaliana plants were tested 20 d after the end of the inoculation period. For symptom observation, rosette weight measurement, ultrastructural observations, and phytoplasma titre analyses, 10 healthy and 10 infected plants from each line were used. Phloem mass flow experiments required three healthy and three infected plants per line. Finally, for gene expression, at least five healthy and five infected plants were used.

Symptoms observation and rosette weight measurement

Symptom development was observed in 10 healthy and 10 infected plants per line, from the end of the inoculation period to the harvest for different analyses. For rosette weight, pots were saturated with water and, after 14 h, plants were harvested, cutting them at ground level. Rosette weight was immediately measured. Statistical comparisons between healthy and infected plants and among the different Arabidopsis lines were performed by the Prism 7.02 software package (GraphPad Software, La Jolla, CA, USA), using, respectively, the unpaired t-test and two-way ANOVA with a Dunnett’s test as post-hoc test for multiple comparisons.

Phytoplasma molecular detection

To check phytoplasma presence in Arabidopsis, each healthy and symptomatic plant was analysed by PCR. Total genomic DNA was extracted from 100 mg of leaf tissue according to Doyle and Doyle (1990), modified by Martini . DNA concentration and purity were checked using a NanoDrop 1000 Spectrophotometer (Thermo Fisher Scientific, Wilmington, DE, USA). PCR amplifications were performed with primer pair R16F2n/R16R2 5'-GAAACGACTGCTAAGACTGG-3'/5'-TGACGGGCGGTGTGTACAAACCCCG-3' (Lee ; Gundersen and Lee, 1996), using One Advanced thermocycler (Euroclone, Celbio, Milan, Italy) in 25 µl reactions containing 2.5 mM each of the four dNTPs, 20 µM of each primer, 25 mM MgCl2, 5× polymerase buffer, 1 U of Taq polymerase (Promega, San Luis Obispo, CA, USA), and 1 µl of sample nucleic acid (~20 ng). Parameters used for 40 cycle PCRs were: denaturation at 94 °C for 1 min (2 min for the first cycle), annealing at 55 °C for 1 min, and extension at 72 °C for 2 min (8 min for the last cycle). The amplified products were analysed by electrophoresis in 1% agarose gel containing 1 µl of Gel Red™ (10 000×, Biotium, Hayward, CA, USA) per ml.

Phloem mass flow

The phloem-mobile dye 5,6 carboxyfluorescein diacetate (CFDA) (Sigma, St Louis, MO, USA) was used to investigate phloem flow. This dye, extensively used in plant research as a marker for symplastic transport, permeates the plasma membrane in acetate form and is cleaved by cytosolic enzymes producing membrane-impermeant carboxyfluorescein (CF), which is transported by mass flow inside SEs (Knoblauch and van Bel, 1998). The phloem specificity of this dye is well documented in many different plant species, including Vicia faba, Solanum lycopersicum, Cucurbita pepo, Ocimum basilicum, Nicotiana tabacum (Haupt ; Hafke ; Furch ; Musetti ), and Arabidopsis (Oparka ; Froelich ; Ross-Elliot ). As previously reported in V. faba (Musetti ), in healthy and infected A. thaliana plants a droplet of freshly prepared 1 µM CFDA solution was applied to the midrib after having removed the leaf tip. After a 1 h incubation period at room temperature, 5 mm long midrib samples were cut at a distance of ~3 cm from the CFDA application site. Sample pieces were included in 8% low melting point agarose. Sections of 100 µm thick were cut by a HM560V vibratome (Microm Microtech, Brignais, France) and collected in phosphate-buffered saline solution. Sections were examined with a Leica TCS SP2 AOBS confocal laser scanning microscope (Leica, Wetzlar, Germany) with a ×40 water immersion objective (HCX Apo 0.80), exciting CFDA with the blue argon ion laser (488 nm) and collecting emitted fluorescence from 500 nm to 545 nm. For image acquisition, instrument parameters, including pinhole diameter, laser intensity, exposure time, PMT gain, and offset, were set and held constant to avoid autofluorescence and for proper comparison between samples. As a control, unstained sections were observed at the same excitation wavelength used for the fluorochrome. For each A. thaliana line and condition, 10 non-serial sections from three different plants were observed. The fluorescence level in the phloem tissue was measured and compared in healthy and diseased samples by computerized image analysis in five non-serial sections per plant, using ImageJ 1.49m software (National Institutes of Health, Bethesda, MD, USA). The grey level (in arbitrary units; 0=black, i.e. absence of signal; 255=white) was measured on the tissue in an area devoid of signal on visual inspection and assumed as background (Bacci ). The threshold was then set at twice the background, and fluorescence intensity was measured and divided for the analysed surface area. One-way ANOVA followed by a Dunnett’s test was used to determine significance, with healthy wild-type values as control. Statistical analyses of fluorescence levels were performed with the Prism 7.02 software package (GraphPad Software).

Transmission electron microscopy

To preserve phloem tissue structure, a gentle preparation method was adopted, modifying the protocol by Ehlers , to adapt it to Arabidopsis leaves as recently reported by Pagliari . Briefly, from each plant, a 30 mm long midrib portion was excised from three fully expanded leaves of the rosette. The midrib segments were immediately submerged in a MES buffer for 2 h at room temperature. A fixation solution of 3% paraformaldehyde and 4% glutaraldehyde was used and substituted every 30 min for 6 h. Samples were rinsed for 1 h and post-fixed overnight with 2% (w/v) OsO4. Samples were dehydrated in a graded ethanol series and then transferred into propylene oxide. From the central part of each midrib, a 6–7 mm long piece was finally excised and embedded in Epon/Araldite epoxy resin (Electron Microscopy Sciences, Fort Washington, PA, USA). Ultrathin sections (60–70 nm in thickness) were cut using an ultramicrotome (Reichert Leica Ultracut E ultramicrotome, Leica Microsystems, Wetzlar, Germany), collected on uncoated copper grids, stained with uranyl acetate and lead citrate (Reynolds, 1963), and then observed under a PHILIPS CM 10 transmission electron microscope (FEI, Eindhoven, The Netherlands), operating at 80 kV. Five non-serial cross-sections from each sample were analysed.

Light microscopy (LM)

To compare midrib histology and phloem development in the different Arabidopsis lines (wild-type, AtSEOR mutant lines, and Atpp2-a1ko), semi-thin sections (1 μm in thickness) of resin-embedded tissue, prepared as described above, were cut using an ultramicrotome (Reichert Leica Ultracut E ultramicrotome), stained with 1% toluidine blue, and examined using a Zeiss Axio Observer Z1 microscope (Carl Zeiss GmbH, Munich, Germany). Five samples per line and condition were examined. From each sample, at least five non-serial cross-sections were observed. Phloem thickness was measured in three different non-serial cross-sections from five healthy and five infected samples per line. Three different measuring points were chosen randomly in each cross-section. Statistical analyses were performed with the Prism 7.02 software package (GraphPad Software) using the Mann–Whitney test and two-way ANOVA, and a Dunnett’s test as post-hoc test for multiple comparisons.

RNA extraction and gene expression analyses

Total RNA was extracted from ~1 g of leaves, ground in liquid nitrogen into fine powder, and homogenized in 5 ml of lysis buffer (MacKenzie ). Homogenate (1.5 ml) was collected and centrifuged for 6 min at 12000 rpm. A 1 ml aliquot of supernatant was mixed with 100 μl of 20% (v/v) N-lauroylsarcosine (Sigma-Aldrich) buffer and incubated for 15 min at 70 °C. Samples were then transferred to a QIAshredder spin column (lilac) and RNA purified with an RNeasy Plant Mini Kit (Qiagen GmbH, Hilden, Germany) according to the manufacturer’s instructions. Extracted RNAs were DNase treated and reverse-transcribed into cDNA with the QuantiTectReverse Transcription Kit (Qiagen GmbH) following the manufacturer’s instructions. The expression of AtSEOR1, AtSEOR2, and AtPP2-A1 genes was analysed in healthy and infected plants by real-time experiments performed on a CFX96 instrument (Bio-Rad Laboratories, Richmond, CA, USA). The reference gene was individuated comparing UBC9 (ubiquitin-conjugating enzyme 9), TIP41 (TIP41-like family protein), SAND (SAND family protein), and UBQ10 (polyubiquitin 10) gene expression (Table 2). The gene stability measures (M values) were calculated according to the geNorm program (Vandesompele ) (Table 2). The UBC9 gene was found to be the most stably expressed gene and so the most suitable as reference gene.
Table 2.

List of primers and accession number of sequences used for housekeeping gene individuation

Gene Forward primer 5′–3′ Reverse primer 5′–3′ nM M value NCBI accession no.
UBC9 TCACAATTTCCAAGGTGCTGCCGAGCAGTGGACTCGTACTT3000.43NM_179131.3aNM_118934.3a
TIP41 CCTCTTGCGATTTTGGCTGAGACGAAGAACAGTTGGTGCCT4000.52NM_119592.5
SAND AGATCAATCGCGGAAGGTGGTATGTCGGGACCAGGTGAGT4000.74NM_128399.4
UBQ10 CGTCTTCGTGGTGGTTTCTAAACAAGGCCCCAAAACACAAAC3000.59NM_178968.5aNM_001084884.5aNM_001340546.1aNM_116771.5aNM_202787.4aNM_001340547.1aNM_178969.6aNM_178970.5a

This primer pair amplifies every gene transcript variant.

List of primers and accession number of sequences used for housekeeping gene individuation This primer pair amplifies every gene transcript variant. SsoFast EvaGreen Supermix (Bio-Rad Laboratories Inc., Hercules, CA, USA), cDNA obtained from 5 ng of RNA, and specific primers were used in a total volume of 10 μl for AtSEOR1 and AtPP2-A1 genes. AtSEOR2 gene expression analyses were carried out with cDNA from 10 ng of RNA in a total volume of 20 μl. Every reaction was performed at 95 °C for 3 min, 40 cycles of 95 °C for 5 s, and 58 °C for 5 s, followed by a melting curve analysis from 65 °C to 95 °C to check primer specificity. Primers were designed using Primer3 software (http://bioinfo.ut.ee/primer3-0.4.0/primer3/) and primer specificity evaluated with the BLASTN (Nucleotide Basic Local Alignment Search Tool) algorithm (Altschul ). Primer pair efficiency (E) was evaluated as described by Pfaffl (2001) on the standard curves of different dilutions of pooled cDNA. Gene and primer sequences for expression analysis are reported in Table 3. A mean normalized expression (MNE) for each gene of interest (Muller ) was calculated by normalizing its mean expression level to the level of the UBC9 gene. Three technical repeats and at least five individuals concurred with gene MNE determination.
Table 3.

List of primers and accession number of sequences used in real-time PCRs

Gene Forward primer 5′–3′ Reverse primer 5′–3′ nM E (%) NCBI accession n.
AtSEOR1 ACCATCTCGCTGAGACCTTGAGG (Anstead et al., 2012)GGCCGTGAGAATCTTCATGTTATCA (Anstead et al., 2012)50097.8NM_111034.3
AtSEOR2 TTCAAAGAGACGCGTCGGGGCTGCCATGCTTCTGTGTAG500104.0NM_111033.3
AtPP2-A1 GGTGGACGAGAGAAACAGCAGCTTCCACATTCTCGTTTGGT40096.3NM_118104.5
UBC9 TCACAATTTCCAAGGTGCTGCCGAGCAGTGGACTCGTACTT30097.1NM_179131.3a NM_118934.3a

This primer pair amplifies both gene transcript variants.

List of primers and accession number of sequences used in real-time PCRs This primer pair amplifies both gene transcript variants. Statistical analyses of gene expression levels were performed with the Prism 7.02 software package (GraphPad Software) using an unpaired t-test and two-way ANOVA, and a Dunnett’s test as post-hoc test for multiple comparisons.

Phytoplasma quantification

Total genomic DNA was extracted from 1 g of leaf tissue as described above for phytoplasma molecular detection. The ribosomal protein gene rplV (rpl22) was chosen as target for the amplification of CY phytoplasma DNA using the primer pairs rp(I-B)F2/rp(I-B)R2 5'-CGTTTGGGTGGTGCTGAAAT-3'/ 5'-GAGGGCGTCTGTTAGGAGTG-3' (this study; Lee ) and producing an amplicon of 232 bp. To quantify CY phytoplasma DNA, a 1260 bp ribosomal protein fragment from CY phytoplasma, amplified with primer pair rpF1C/rp(I)R1A (Martini ), was cloned in pGem®T-Easy vector (Promega). Plasmid DNA was first quantified by using a Qubit® 2.0 Fluorometer (Invitrogen, Carlsbad, CA, USA); then a standard curve was established by 10-fold serial dilutions of plasmid DNA corresponding to ~109 to 101 target genomes. Standards and 1 ng of each DNA sample (run in three replicates) were added to a mixture containing 0.3 µM of each primer and 7.5 µl of 2× SsoFast EvaGreen Supermix (Bio-Rad Laboratories) in a 15 µl total volume. Cycling conditions were as follows: initial denaturation at 98 °C for 2 min; 44 cycles of 5 s at 98 °C and 5 s at 60 °C; and a final extension at 95 °C for 1 min. A melting curve analysis (ramp from 65 °C to 95 °C at 0.5 °C s–1) was programmed at the end of the cycling reaction to evaluate the purity of the amplification product. CY phytoplasma concentration was expressed as the number of CY phytoplasma genome units (GUs) per mg of leaf sample to normalize the data. The comparisons of phytoplasma population size were performed analysing the quantification results from three technical repeats of 10 plants per line with the Prism 7.02 software package (GraphPad Software), using one-way ANOVA, and a Dunnett’s test as post-hoc test for multiple comparisons, with the wild-type line as control.

Results

Phytoplasma detection

Phytoplasma detection was performed in healthy and symptomatic plants. Direct PCR analysis allowed the amplification of a 1250 bp fragment, confirming the presence of phytoplasmas only in the symptomatic plants (not shown).

Phenotypes of healthy and fully symptomatic Arabidopsis plants

Ten healthy and 10 infected plants from each line (the wild type, AtSEOR mutant lines, and Atpp2-a1ko lines) were observed and weighted. Healthy plants of all lines grew at similar rates (Figs 1, 2). Within 20 d from inoculation, common phytoplasma disease symptoms appeared in every plant exposed to three infective insects. Infected plants showed yellowing, reduced growth, and general stunting (Fig. 1). Leaves having emerged after phytoplasma inoculation were shorter, with a thick main vein and a smaller petiolar area. Wild-type and mutant lines did not differ in symptom development or plant phenotype due to infection (Fig. 1). A decrease of ~40% in growth was observed in all infected plant lines compared with the healthy ones, but no differences between the plant lines were observed (Fig. 2).
Fig. 1.

Phenotypes of representative heathy and fully symptomatic plants at 70 d. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. Phytoplasma infection altered the phenotype of A. thaliana, producing classic phytoplasma disease symptoms. Healthy plants (1) showed regular growth, while infected plants (2) were characterized by reduced growth and shorter, yellowish leaves, with a thick main vein. No obvious difference was recorded among the different plant lines. For each condition, 10 different plants were analysed.

Fig. 2.

Fresh rosette weight of healthy and infected wild-type and mutant A. thaliana lines. The results are expressed as the mean ±SD. Infected plants were characterized by reduced growth in every line considered. No difference between wild-type and mutant lines was recorded, or in healthy or infected plants. For each condition, 10 different plants were analysed. Differences between healthy and infected conditions in each line were calculated using unpaired t-test. Family-wise significance and confidence level: 0.05. ****P<0.0001. For comparisons among the different lines, two-way ANOVA followed by a Dunnett’s test was used, with wild-type values as control. Family-wise significance and confidence level: 0.05. A, a: no significant difference from wild-type values.

Phenotypes of representative heathy and fully symptomatic plants at 70 d. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. Phytoplasma infection altered the phenotype of A. thaliana, producing classic phytoplasma disease symptoms. Healthy plants (1) showed regular growth, while infected plants (2) were characterized by reduced growth and shorter, yellowish leaves, with a thick main vein. No obvious difference was recorded among the different plant lines. For each condition, 10 different plants were analysed. Fresh rosette weight of healthy and infected wild-type and mutant A. thaliana lines. The results are expressed as the mean ±SD. Infected plants were characterized by reduced growth in every line considered. No difference between wild-type and mutant lines was recorded, or in healthy or infected plants. For each condition, 10 different plants were analysed. Differences between healthy and infected conditions in each line were calculated using unpaired t-test. Family-wise significance and confidence level: 0.05. ****P<0.0001. For comparisons among the different lines, two-way ANOVA followed by a Dunnett’s test was used, with wild-type values as control. Family-wise significance and confidence level: 0.05. A, a: no significant difference from wild-type values.

Midrib morphology

The midrib morphology in the different Arabidopsis lines was observed in at least five non-serial cross-sections from five samples per line and condition. Semi-thin sections and LM observation of midribs from healthy A. thaliana plants disclosed a regular collateral pattern and no cell alteration in the vascular bundles (Fig. 3). No differences between the mutant and wild-type lines were detected (Fig. 3). Phytoplasma-infected midribs were characterized by a hyperactivity of the cambial tissue, resulting in a massive production of phloem components, leading to phloem hyperplasia (Fig. 4). The increased phloem thickness was comparable in the different lines (Fig. 4), as confirmed by the measurement of the phloem thickness in healthy and infected plants (Fig. 5). Measurements were performed at three different points in three different non-serial cross-sections from five samples per line (Fig. 5).
Fig. 3.

Semi-thin sections of midribs from healthy wild-type and mutant A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. In healthy plants, vascular bundles had a regular pattern and no cell alteration. No obvious difference was recorded among the different plant lines. For each condition, at least five non-serial cross-sections from five samples were observed. p, phloem; x, xylem. Scale bars: 50 µm. (This figure is available in colour at JXB online.)

Fig. 4.

Semi-thin sections of midribs from infected wild-type and mutant A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. In infected leaf tissues, massive production of new phloem components caused phloem hyperplasia. No obvious difference was recorded among the different plant lines. For each condition, at least five non-serial cross-sections from five samples were observed. p, phloem; x, xylem. Scale bars: 50 µm. (This figure is available in colour at JXB online.)

Fig. 5.

Midrib phloem thickness in healthy and infected wild-type and mutant A. thaliana lines. Following infection, a strong increase in phloem size occurred, due to phloem hyperplasia. Both among healthy plants and among infected plants, no significant difference was detected. The phloem thickness was measured in three different randomly selected measuring points in three different non-serial cross-sections from five healthy and five infected samples per line. The results are expressed as the mean ±SD. For each condition, five non-serial sections from five different plants were analysed. Differences between healthy and infected conditions in each line were calculated using Mann–Whitney test. Family-wise significance and confidence level: 0.05. ****P<0.0001. For comparisons among the different lines, two-way ANOVA followed by a Dunnett’s test was used, with wild-type values as control. Family-wise significance and confidence level: 0.05. A, a: no significant difference from wild-type values.

Semi-thin sections of midribs from healthy wild-type and mutant A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. In healthy plants, vascular bundles had a regular pattern and no cell alteration. No obvious difference was recorded among the different plant lines. For each condition, at least five non-serial cross-sections from five samples were observed. p, phloem; x, xylem. Scale bars: 50 µm. (This figure is available in colour at JXB online.) Semi-thin sections of midribs from infected wild-type and mutant A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. In infected leaf tissues, massive production of new phloem components caused phloem hyperplasia. No obvious difference was recorded among the different plant lines. For each condition, at least five non-serial cross-sections from five samples were observed. p, phloem; x, xylem. Scale bars: 50 µm. (This figure is available in colour at JXB online.) Midrib phloem thickness in healthy and infected wild-type and mutant A. thaliana lines. Following infection, a strong increase in phloem size occurred, due to phloem hyperplasia. Both among healthy plants and among infected plants, no significant difference was detected. The phloem thickness was measured in three different randomly selected measuring points in three different non-serial cross-sections from five healthy and five infected samples per line. The results are expressed as the mean ±SD. For each condition, five non-serial sections from five different plants were analysed. Differences between healthy and infected conditions in each line were calculated using Mann–Whitney test. Family-wise significance and confidence level: 0.05. ****P<0.0001. For comparisons among the different lines, two-way ANOVA followed by a Dunnett’s test was used, with wild-type values as control. Family-wise significance and confidence level: 0.05. A, a: no significant difference from wild-type values.

Phloem mass flow analysis with CFDA dye

To examine alterations of phloem mass flow due to infection in diverse SE protein mutants, the location and fluorescence intensity of CFDA were observed in main vein leaf cross-sections under confocal laser scanning microscopy (CLSM). For each A. thaliana line, 10 non-serial sections from three different plants were observed at ~3 cm distance from the site of CFDA application. Unstained sections were observed at the same excitation wavelength used for the fluorochrome, and no fluorescent signals were detected (Fig. 6). In healthy plants of each line investigated, the phloem-mobile CF emitted strong signals from the phloem area (Fig. 7, 1–3). Colourless CFDA must have entered the SE and have been cleaved to produce CF by the activity of an intracellular esterase (Knoblauch and van Bel, 1998). All living cells at the uptake surface absorbed and cleaved CFDA, but the non-membrane-permeant CF moved away from the site of application only in the SEs, passing through the sieve pores, driven by mass flow, as seen in many different plant species, including Arabidopsis (Oparka ; Haupt ; Hafke ; Froelich ; Musetti ; Ross-Elliot ). Along the pathway, CF moves into the companion cells, where it accumulates in the vacuoles (Knoblauch and van Bel, 1998). No significant differences between the aggregate fluorescence levels in the phloem of healthy plants of the various lines were detected (Fig. 7, 1–3). Due to the high hydration and the softness of Arabidopsis tissue, cross-sectioning by vibratome caused some CF contamination. This is probably due to leakage of CF from cut sieve tubes into the apoplast, where CF adhered to intracellular components of other cut vascular cells and xylem vessel walls (Fig. 7, 1–3). In infected plants, the phloem areas were larger than in healthy plants due to phloem hyperplasia, the excessive production of phloem tissue due to procambial or cambial hyperactivity following phytoplasma infection. Infected wild-type plants showed lower CF signals in the phloem than healthy wild-type plants (Fig. 7A). In contrast, the CF emission from the phloem area in infected mutant lines was comparable with that in healthy plants (Fig. 7B–F). The interpretation of the observations was corroborated by a fluorescence quantification analysis that revealed a strong reduction of fluorescence in the infected wild-type line in comparison with all other specimens (Fig. 8).
Fig. 6.

Unstained vibratome section of fresh tissue as staining control. CLSM images of unstained section from healthy wild-type A. thaliana midribs were visualized in bright field (A) and at the same wavelength used for the fluorochrome (excitation, 488 nm; emission, 500–545 nm) (B). No autofluorescence signal was detected. p, phloem; x, xylem. Scale bars: 75 µm.

Fig. 7.

CF fluorescence signal in vibratome sections of fresh tissue of healthy and infected wild-type and mutant A. thaliana lines. The fluorescence of CF in the sieve elements of wild-type and mutant plants was observed at cross-sections, ~3 cm away from the dye application site. In healthy plants (1–3), CF emitted a strong signal corresponding to the phloem area in every line considered. In infected plants (4–6), the phloem tissue was larger than that observed in healthy plants (phloem size is indicated by a white bar), due to phloem hyperplasia. Whereas in wild-type plants (A) phytoplasma infection led to a modest CF signal, mutant lines (B–F) showed a high fluorescence level and dye accumulation in phloem cells. For each line and condition, 10 non-serial sections from three different plants were observed. (A) Wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. p, phloem; x, xylem. Scale bars: 75 µm.

Fig. 8.

CF fluorescence quantification of fresh tissue of healthy and infected wild-type and mutant A. thaliana lines. The fluorescence level in the phloem tissue was measured and divided for the analysed surface area. The results are expressed as the mean ±SD. Whereas in healthy plants no significant difference was detected, in infected plants the wild-type line showed a dramatic decrease in CF signal. For each condition, five non-serial sections from five different plants were analysed. One-way ANOVA followed by a Dunnett’s test was used to determine significance, with healthy wild-type values as control. Family-wise significance and confidence level: 0.05. Different letters indicate different significance levels: A, no significant difference from wild-type values; B, P<0.01.

Unstained vibratome section of fresh tissue as staining control. CLSM images of unstained section from healthy wild-type A. thaliana midribs were visualized in bright field (A) and at the same wavelength used for the fluorochrome (excitation, 488 nm; emission, 500–545 nm) (B). No autofluorescence signal was detected. p, phloem; x, xylem. Scale bars: 75 µm. CF fluorescence signal in vibratome sections of fresh tissue of healthy and infected wild-type and mutant A. thaliana lines. The fluorescence of CF in the sieve elements of wild-type and mutant plants was observed at cross-sections, ~3 cm away from the dye application site. In healthy plants (1–3), CF emitted a strong signal corresponding to the phloem area in every line considered. In infected plants (4–6), the phloem tissue was larger than that observed in healthy plants (phloem size is indicated by a white bar), due to phloem hyperplasia. Whereas in wild-type plants (A) phytoplasma infection led to a modest CF signal, mutant lines (B–F) showed a high fluorescence level and dye accumulation in phloem cells. For each line and condition, 10 non-serial sections from three different plants were observed. (A) Wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. p, phloem; x, xylem. Scale bars: 75 µm. CF fluorescence quantification of fresh tissue of healthy and infected wild-type and mutant A. thaliana lines. The fluorescence level in the phloem tissue was measured and divided for the analysed surface area. The results are expressed as the mean ±SD. Whereas in healthy plants no significant difference was detected, in infected plants the wild-type line showed a dramatic decrease in CF signal. For each condition, five non-serial sections from five different plants were analysed. One-way ANOVA followed by a Dunnett’s test was used to determine significance, with healthy wild-type values as control. Family-wise significance and confidence level: 0.05. Different letters indicate different significance levels: A, no significant difference from wild-type values; B, P<0.01.

SE changes in ultrastructural organization following infection

To visualize changes in SE ultrastructure due to mutation or pathogen presence, and eventually correlate them with phloem impairment, phloem tissue was examined under TEM. For each condition, five non-serial sections from 10 different plants of each plant line were analysed. Observations of healthy samples showed a well-preserved sieve tube ultrastructure, with a regular shape and no signs of necrosis or subcellular aberrations, both in wild-type plants and in mutants (Fig. 9). In the latter lines, the SE plasma membrane had a regular profile, appressed to the cell wall. Mitochondria and thin stacks of sieve endoplasmic reticulum (SER) adhered to the plasma membrane. In wild-type plants, SE protein filaments were seldom observed and only tiny filaments were detected (Fig. 9A). In mutant plants lacking one or both AtSEOR genes, SE lumina were fully devoid of filaments (Fig. 9B–E). In contrast, SE lumina of Atpp2-a1ko plants showed some filaments that did not appear to differ from wild-type protein filaments (Fig. 9F). The absence of SE protein filaments in mutants lacking one or both AtSEOR genes was confirmed in the sieve plate region in the different lines. Sieve plates were characterized by a significant presence of protein filaments in wild-type and Atpp2-a1ko plants (Fig. 10A, F), while they were totally free from filaments in the other mutant lines (Fig. 10B–E).
Fig. 9.

TEM micrographs of sieve elements in different healthy A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. Healthy samples presented unaltered phloem tissue, as was also the case in transformed plants (B–F). In wild-type (A) and in Atpp2-a1ko plants (F), some protein filaments were observed (arrows, insets). On the other hand, lumina of mutants lacking one or both AtSEOR genes (B–E) appeared empty, without any sign of filament formation. Five non-serial sections from 10 different plants were analysed for each condition. CC, companion cell; m, mitochondrion; PPU, pore plasmodesma unit; SE, sieve element; ser, sieve element reticulum. Scale bars: 1 µm.

Fig. 10.

TEM micrographs of sieve plates in different healthy A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. Sieve plates were identified at the connection between two SEs, by the presence of sieve pores (black arrowheads). Observations of the cross-sections at the sieve plate level showed SE lumina characterized by the presence of SE protein filaments (arrows) in wild-type (A) and Atpp2-a1ko plants (F). In mutant lines lacking AtSEOR genes, SE lumina appeared devoid of filaments (B–E). In Atseor1kd/Atseor2ko (D), the lumen of one SE was occupied by sieve element reticulum, whose stacks were visible in the inset (white arrowheads). Five non-serial sections from 10 different plants were analysed for each condition. c, callose; CC, companion cell; SE, sieve element; ser, sieve-element reticulum; SP, sieve plate. Scale bars: 500 nm.

TEM micrographs of sieve elements in different healthy A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. Healthy samples presented unaltered phloem tissue, as was also the case in transformed plants (B–F). In wild-type (A) and in Atpp2-a1ko plants (F), some protein filaments were observed (arrows, insets). On the other hand, lumina of mutants lacking one or both AtSEOR genes (B–E) appeared empty, without any sign of filament formation. Five non-serial sections from 10 different plants were analysed for each condition. CC, companion cell; m, mitochondrion; PPU, pore plasmodesma unit; SE, sieve element; ser, sieve element reticulum. Scale bars: 1 µm. TEM micrographs of sieve plates in different healthy A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. Sieve plates were identified at the connection between two SEs, by the presence of sieve pores (black arrowheads). Observations of the cross-sections at the sieve plate level showed SE lumina characterized by the presence of SE protein filaments (arrows) in wild-type (A) and Atpp2-a1ko plants (F). In mutant lines lacking AtSEOR genes, SE lumina appeared devoid of filaments (B–E). In Atseor1kd/Atseor2ko (D), the lumen of one SE was occupied by sieve element reticulum, whose stacks were visible in the inset (white arrowheads). Five non-serial sections from 10 different plants were analysed for each condition. c, callose; CC, companion cell; SE, sieve element; ser, sieve-element reticulum; SP, sieve plate. Scale bars: 500 nm. In all infected lines, phytoplasmas were present exclusively in SEs (wild-type plants were chosen as representative and described in Fig. 11), with a disparate distribution over the SEs (data not shown, cf. Pagliari ). The phytoplasmas exhibited a well-preserved structure, with their typical pleomorphic profile, delimited by an electron-dense membrane, enclosing dispersed DNA strands and ribosome granules (Fig. 11). Pleomorphic phytoplasmas were observed to float freely in the SE lumen or to be linked to the SE plasma membrane or SER stacks (Fig. 11A, B). In all infected plant lines, SEs were characterized by various alterations, including a significant accumulation of protein filaments in their lumen (Fig. 11C, D). Protein filaments presented different organization patterns, from simple or branched strands to thin networks (Fig. 11A) or dense meshwork filling the SE lumen, surrounding phytoplasmas and plugging sieve plate pores (Fig. 11B, D).
Fig. 11.

Phytoplasma distribution and ultrastructural responses in sieve tubes of wild-type A. thaliana plants. Phytoplasmas presented their typical pleomorphic profile, delimited by an electron-dense membrane, holding dispersed DNA strands and ribosome granules (A, inset). While some phytoplasmas were observed free floating in the SE lumen (A, B), others established a connection with the host cell at the plasma membrane or sieve element reticulum (SER) stack level (A, B). Plants responded to the infection with alterations at the ultrastructural level, such as callose accumulation at the sieve pore level (C, D), and SE protein filament condensation (arrows). SE protein filaments formed networks with different organization and density (B), that could plug pores at the sieve plates (C, inset). Five non-serial sections from 10 different plants were analysed. c, callose; CC, companion cell; m, mitochondrion; ph, phytoplasma; PPU, pore plasmodesma unit; SE, sieve element; ser, sieve element reticulum; sp, sieve plate. Scale bars: 1 µm.

Phytoplasma distribution and ultrastructural responses in sieve tubes of wild-type A. thaliana plants. Phytoplasmas presented their typical pleomorphic profile, delimited by an electron-dense membrane, holding dispersed DNA strands and ribosome granules (A, inset). While some phytoplasmas were observed free floating in the SE lumen (A, B), others established a connection with the host cell at the plasma membrane or sieve element reticulum (SER) stack level (A, B). Plants responded to the infection with alterations at the ultrastructural level, such as callose accumulation at the sieve pore level (C, D), and SE protein filament condensation (arrows). SE protein filaments formed networks with different organization and density (B), that could plug pores at the sieve plates (C, inset). Five non-serial sections from 10 different plants were analysed. c, callose; CC, companion cell; m, mitochondrion; ph, phytoplasma; PPU, pore plasmodesma unit; SE, sieve element; ser, sieve element reticulum; sp, sieve plate. Scale bars: 1 µm. In every infected section of Arabidopsis lines lacking one or both AtSEOR genes, SEs showed electron-dense filaments that could be straight, branched, or even organized into thin networks, with a morphology and organization similar to those observed in infected wild-type plants (Fig. 12B–E). Filaments were also observed in the infected SEs of Atpp2-a1ko plants (Fig. 12F).
Fig. 12.

TEM micrographs of sieve elements in different infected A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. In infected tissue, wild-type (A) and Atpp2-a1ko (F) SEs showed a massive presence of SE protein filaments (arrows, insets). Also in A. thaliana lines lacking one or both AtSEOR genes (B–E), infected SEs showed filaments with morphology and organization similar to those observed in wild-type plants (arrows, insets). For each condition, five non-serial sections from 10 different plants were analysed. CC, companion cell; m, mitochondrion; ph, phytoplasma; SE, sieve element. Scale bars: 1 µm.

TEM micrographs of sieve elements in different infected A. thaliana lines. Different A. thaliana lines were indicated as follows: (A) wild-type, (B) Atseor1ko, (C) Atseor2ko, (D) Atseor1ko/Atseor2kd, (E) Atseor1kd/Atseor2ko, and (F) Atpp2-a1ko. In infected tissue, wild-type (A) and Atpp2-a1ko (F) SEs showed a massive presence of SE protein filaments (arrows, insets). Also in A. thaliana lines lacking one or both AtSEOR genes (B–E), infected SEs showed filaments with morphology and organization similar to those observed in wild-type plants (arrows, insets). For each condition, five non-serial sections from 10 different plants were analysed. CC, companion cell; m, mitochondrion; ph, phytoplasma; SE, sieve element. Scale bars: 1 µm.

AtSEOR1, AtSEOR2, and AtPP2-A1 gene expression analyses

To check if AtSEOR1, AtSEOR2, and AtPP2-A1genes are involved in the infection response, their expression was analysed in healthy and infected plants by real-time reverse transcription–PCR (RT–PCR) experiments. For each condition, three technical repeats in at least five individuals were investigated. For all samples, gene expression analyses are presented in Fig. 13, where the mean normalized expression of each gene is plotted as the transcript abundance compared with the UBC9 expression level (set at 100). The expression level of the AtSEOR1 and AtSEOR2 genes was low, with MNE values fluctuating from 0.07 to 1.59 and from 0.08 to 2.10, respectively. AtPP2-A1 presented a higher gene transcription level as compared with the AtSEOR genes, ranging from 2.77 to 19.84. A compensatory general pattern was visible in the expression of SE filament genes in the different mutants. The expression levels of the other genes in question were a few times higher in the mutants than in wild-type plants. For instance, AtSEOR1 expression was five times higher in healthy specimens of the Atseor2ko line and three times higher in the Atpp2-a1ko line than in healthy wild-type plants (Fig. 13A). In infected plants, AtSEOR1 was overexpressed as compared with healthy plants by a factor of 3 in the wild-type, in Atseor2ko by a factor of 16, and in Atpp2-a1ko by a factor of 12. Similar tendencies, though not always significant, were recognizable in the other approaches (Fig. 13B, C).The unpaired t-test on MNE values showed that each gene analysed was significantly up-regulated in infected plants (Fig. 13). To compare the expression level of each single gene in every Arabidopsis line, a two-way ANOVA and a Dunnett’s test as post-hoc test were performed using the wild-type MNE values as negative controls. No significant differences were detected among expression levels in healthy plants, except for AtSEOR2, which was significantly up-regulated in healthy Atpp2-a1ko plants. On the other hand, in infected plants, each gene showed a significant increase in transcription levels in the mutant lines in comparison with the wild type (Fig. 13).
Fig. 13.

Gene expression level of healthy and infected wild-type and mutant A. thaliana lines. The expression of AtSEOR1 (A), AtSEOR2 (B), and AtPP2-A1 (C) genes was analysed in healthy and infected plants of both wild-type and mutant lines by real-time RT–PCR. Expression values were normalized to the UBC9 transcript level, arbitrarily fixed at 100, then expressed as mean normalized expression ±SD (transcript abundance). Every gene was significantly up-regulated in infected plants compared with healthy plants. No significant difference in expression was detected in healthy plants, except for AtSEOR2 in Atpp2-a1ko plants. In infected plants, each gene was up-regulated in the mutants compared with the wild type. For each condition, three technical repeats from five different plants were carried out. Differences between healthy and infected conditions in each line were calculated using unpaired t-test. Family-wise significance and confidence level: 0.05. *P<0.05, **P<0.01. For comparisons among the different lines, two-way ANOVA followed by a Dunnett’s test was used, with wild-type values as control. Family-wise significance and confidence level: 0.05. Different letters indicate different significance levels. Healthy plants: a, no significant difference from wild-type values; b, P<0.05. Infected plants: A, no significant difference from wild-type values; B, P<0.05; C, P<0.01, D, P<0.001, E, P<0.0001.

Gene expression level of healthy and infected wild-type and mutant A. thaliana lines. The expression of AtSEOR1 (A), AtSEOR2 (B), and AtPP2-A1 (C) genes was analysed in healthy and infected plants of both wild-type and mutant lines by real-time RT–PCR. Expression values were normalized to the UBC9 transcript level, arbitrarily fixed at 100, then expressed as mean normalized expression ±SD (transcript abundance). Every gene was significantly up-regulated in infected plants compared with healthy plants. No significant difference in expression was detected in healthy plants, except for AtSEOR2 in Atpp2-a1ko plants. In infected plants, each gene was up-regulated in the mutants compared with the wild type. For each condition, three technical repeats from five different plants were carried out. Differences between healthy and infected conditions in each line were calculated using unpaired t-test. Family-wise significance and confidence level: 0.05. *P<0.05, **P<0.01. For comparisons among the different lines, two-way ANOVA followed by a Dunnett’s test was used, with wild-type values as control. Family-wise significance and confidence level: 0.05. Different letters indicate different significance levels. Healthy plants: a, no significant difference from wild-type values; b, P<0.05. Infected plants: A, no significant difference from wild-type values; B, P<0.05; C, P<0.01, D, P<0.001, E, P<0.0001.

Phytoplasma titre determination

To correlate phloem impairment with pathogen replication capability and spread, phytoplasma titre was quantified in 10 infected plants from each line, performing three technical replicates every time. Molecular analyses confirmed the presence of phytoplasmas in every symptomatic plant. Wild-type, Atseor2ko, Atseor1ko/Atseor2kd, and Atpp2-a1ko plants had phytoplasma titres ranging from 95.55E+06 to 724.68E+06 phytoplasma GUs in 1 mg of leaf sample. One-way ANOVA and a Dunnett’s post-hoc test revealed significantly lower phytoplasma concentrations in Atseor1ko and Atseor1ko/Atseor2kd plants (95.55E+06 and 248.61E+06 phytoplasma GUs mg–1 of leaf sample, respectively) than in wild-type plants (600.87E+06 phytoplasma GUs mg–1 of leaf sample) (Fig. 14).

Discussion

Phytoplasma infection induces phloem protein filament formation in AtSEOR mutant lines

In Arabidopsis two non-redundant SEO genes, AtSEOR1 and AtSEOR2 (Rüping ; Anstead ), are regarded to be necessary for SE protein filament formation (Anstead ). In healthy plants, TEM pictures reveal the presence of SE protein filaments only in wild-type and Atpp2-a1ko plants (Figs 9, 10), in line with previous results (Anstead ). In contrast, infected plants of every line show a significant presence of SE protein filaments (Fig. 12). These findings led to the hypothesis that SE filaments are involved in plant response to pathogen attack and, under stress conditions, their formation becomes independent of the presence of AtSEOR1 or AtSEOR2. The effective mechanism that could regulate this phenomenon remains unknown and may involve those SE proteins that form the SE filament but are still unknown (Anstead ; Jekat ). Moreover, filament presence is accompanied by an up-regulation of SE protein genes in infected mutant lines in comparison with wild-type lines (Fig. 13). This phenomenon may indicate that, as already observed in other systems (Schneider ; Gierth and Mäser, 2007; Kawakatsu ; Ramundo ), plants try, in stressful conditions, to compensate in the mutants the lack of one protein by the enhanced production of the others.

Wild-type SE protein filaments restrict phloem flow

The question now arises of whether occlusion by protein filaments restricts mass flow. Phytoplasma-infected plants show stunted growth and a diversity of alterations such as yellowing, leaf size reduction, and vein enlargement (Fig. 1). Such symptoms have commonly been attributed to impairment of phloem activities following phytoplasma infection (Braun and Sinclair, 1978; Kartte and Seemüller, 1991; Lepka ; Maust ). However, yellowing could also be due to down-regulation of photosynthetic genes (Hren ; Ji ; Taheri ), accompanied by a reduction of total chlorophyll content (Bertamini , ; Junqueira ; Zafari ). The identical sieve tube conductance for CF in healthy wild-type and mutant lines (Fig. 7, 1–3) is in keeping with the similar mass flow rates found in wild-type and AtSEOR1 mutants in earlier studies (Froelich ). On the other hand, the mass flow rates between infected wild-type and mutant plants differed considerably (Figs 7, 8), although midrib histology (Figs 3, 4) and phloem thickness (Fig. 5) show apparently identical modifications in response to infection in the different Arabidopsis lines. These observations indicate that wild-type plants are able to occlude the sieve pores, while the mutants are unable to do so. Apparent occlusion by filamentous proteins in wild-type Arabidopsis plants contrasts with some earlier observations (Froelich ), but it is in agreement with others (Ernst ; Jekat ). The reason for the contradictory results may lie in the fact that SE proteins do not aggregate in intact wild-type plants, but their presence is massive in plants stressed by phytopathogens (Musetti ) or by wounding (Ernst ; Jekat ). Both stress reactions may rely on Ca2+ influx, mediated by stress-activated Ca2+-permeable channels (Hafke ; van Bel ), which would confer coagulation of SEOR proteins. Lack of one of the SEOR proteins may explain the inability to seal sieve tubes in infected mutants (Figs 7, 4–6) despite the phytoplasma-imposed stress. Masses of SE protein filaments showing up in TEM pictures of phytoplasma-infected mutant plants (Fig. 12) may result from compensatory expression of other genes (Fig. 13). As in forisomes, a structural arrangement of filamentous SEOR proteins may provide the presumptive spatial conditions for Ca2+ binding to result in plug formation. If one of the proteins is lacking, effective occlusion structures may not be formed.

Phloem impairment does not effectively affect pathogen spread

Phytoplasma-triggered phloem impairment has been postulated to be a plant strategy to limit pathogen spread (Lherminier ; Gamalero ; Musetti ). Remarkably, the fact that widely different phytoplasma titres do not concur with the phloem mass flow rates in the respective Arabidopsis lines (Figs 7, 14) suggests an alternative defence mechanism for pathogen containment or control. This conclusion is compatible with the view that phytoplasma spread is not only dependent on phloem mass flow (Garcia-Chapa ; Wei ; Buxa ). The low phytoplasma titres found in Atseor1ko and Atseor1ko/Atseor2kd plants and the putative involvement of AtSEOR2 protein in plant immune signalling (Afzal ) hints at a connection between SE protein and the plant immunity system, for which further experiments are envisaged.
Fig. 14.

Phytoplasma titre in infected leaves of various sieve element protein A. thaliana mutants. Phytoplasma quantification in the different A. thaliana lines was performed by qPCR and expressed as the number of CY phytoplasma genome units (GUs) per 1 mg of leaf sample. The results are expressed as the mean ±SD. Wild-type, Atseor2ko, Atseor1ko/Atseor2kd, and Atpp2-a1ko plants were characterized by similar phytoplasma titres, while Atseor1ko and Atseor1ko/Atseor2kd plants showed lower mean phytoplasma concentrations. In every line, three technical repeats from 10 different plants were carried out. One-way ANOVA followed by a Dunnett’s test was used to determine significance, with wild-type values as control. Family-wise significance and confidence level: 0.05. Different letters indicate different significance levels: A, no significant difference from wild-type values; B, P<0.0001.

Phytoplasma titre in infected leaves of various sieve element protein A. thaliana mutants. Phytoplasma quantification in the different A. thaliana lines was performed by qPCR and expressed as the number of CY phytoplasma genome units (GUs) per 1 mg of leaf sample. The results are expressed as the mean ±SD. Wild-type, Atseor2ko, Atseor1ko/Atseor2kd, and Atpp2-a1ko plants were characterized by similar phytoplasma titres, while Atseor1ko and Atseor1ko/Atseor2kd plants showed lower mean phytoplasma concentrations. In every line, three technical repeats from 10 different plants were carried out. One-way ANOVA followed by a Dunnett’s test was used to determine significance, with wild-type values as control. Family-wise significance and confidence level: 0.05. Different letters indicate different significance levels: A, no significant difference from wild-type values; B, P<0.0001.

Conclusions

The prime goal of this study was to assess a relationship between phytoplasma infection and SE filament agglutination. In infected plants, SE protein filament formation can overcome the absence of AtSEOR1 or AtSEOR2, which is supportive of speculations regarding the engagement of other proteins in the formation of SE filaments (Anstead ; Jekat ). Phloem flow analysis in healthy and infected plants indicates that SE protein filaments impair phloem transport in infected wild-type but not in infected mutant plants. Absence of a correlation between phloem impairment and pathogen multiplication indicates that limitation of mass phloem is not an effective strategy to combat phytoplasma spread. Perhaps SEOR proteins are engaged in other defence mechanisms.
  54 in total

1.  'Candidatus Phytoplasma asteris', a novel phytoplasma taxon associated with aster yellows and related diseases.

Authors:  I-M Lee; D E Gundersen-Rindal; R E Davis; K D Bottner; C Marcone; E Seemüller
Journal:  Int J Syst Evol Microbiol       Date:  2004-07       Impact factor: 2.747

2.  Thermodynamic battle for photosynthate acquisition between sieve tubes and adjoining parenchyma in transport phloem.

Authors:  Jens B Hafke; Jan-Kees van Amerongen; Frits Kelling; Alexandra C U Furch; Frank Gaupels; Aart J E van Bel
Journal:  Plant Physiol       Date:  2005-06-24       Impact factor: 8.340

3.  Ribosomal protein gene-based phylogeny for finer differentiation and classification of phytoplasmas.

Authors:  M Martini; I-M Lee; K D Bottner; Y Zhao; S Botti; A Bertaccini; N A Harrison; L Carraro; C Marcone; A J Khan; R Osler
Journal:  Int J Syst Evol Microbiol       Date:  2007-09       Impact factor: 2.747

4.  An Arabidopsis thaliana knock-out mutant of the chloroplast triose phosphate/phosphate translocator is severely compromised only when starch synthesis, but not starch mobilisation is abolished.

Authors:  Anja Schneider; Rainer E Häusler; Uner Kolukisaoglu; Reinhard Kunze; Eric van der Graaff; Rainer Schwacke; Elisabetta Catoni; Marcelo Desimone; Ulf-Ingo Flügge
Journal:  Plant J       Date:  2002-12       Impact factor: 6.417

5.  Reversible calcium-regulated stopcocks in legume sieve tubes.

Authors:  M Knoblauch; W S Peters; K Ehlers; A J van Bel
Journal:  Plant Cell       Date:  2001-05       Impact factor: 11.277

6.  Callose deposition: a multifaceted plant defense response.

Authors:  Estrella Luna; Victoria Pastor; Jérôme Robert; Victor Flors; Brigitte Mauch-Mani; Jurriaan Ton
Journal:  Mol Plant Microbe Interact       Date:  2011-02       Impact factor: 4.171

7.  Remote-controlled stop of phloem mass flow by biphasic occlusion in Cucurbita maxima.

Authors:  Alexandra C U Furch; Matthias R Zimmermann; Torsten Will; Jens B Hafke; Aart J E van Bel
Journal:  J Exp Bot       Date:  2010-06-28       Impact factor: 6.992

8.  Cytological Characterization of Elicitin-Induced Protection in Tobacco Plants Infected by Phytophthora parasitica or Phytoplasma.

Authors:  J Lherminier; N Benhamou; J Larrue; M-L Milat; E Boudon-Padieu; M Nicole; J-P Blein
Journal:  Phytopathology       Date:  2003-10       Impact factor: 4.025

9.  'Bois noir' phytoplasma induces significant reprogramming of the leaf transcriptome in the field grown grapevine.

Authors:  Matjaz Hren; Petra Nikolić; Ana Rotter; Andrej Blejec; Nancy Terrier; Maja Ravnikar; Marina Dermastia; Kristina Gruden
Journal:  BMC Genomics       Date:  2009-10-02       Impact factor: 3.969

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

View more
  10 in total

1.  What Slows Down Phytoplasma Proliferation? Speculations on the Involvement of AtSEOR2 Protein in Plant Defence Signalling.

Authors:  L Pagliari; S Buoso; S Santi; A J E Van Bel; R Musetti
Journal:  Plant Signal Behav       Date:  2018-07-03

2.  Increased susceptibility to Chrysanthemum Yellows phytoplasma infection in Atcals7ko plants is accompanied by enhanced expression of carbohydrate transporters.

Authors:  Chiara Bernardini; Simonetta Santi; Giovanni Mian; Amit Levy; Sara Buoso; Joon Hyuk Suh; Yu Wang; Christopher Vincent; Aart J E van Bel; Rita Musetti
Journal:  Planta       Date:  2022-07-17       Impact factor: 4.540

3.  Specialized 16SrX phytoplasmas induce diverse morphological and physiological changes in their respective fruit crops.

Authors:  Jannicke Gallinger; Kerstin Zikeli; Matthias R Zimmermann; Louisa M Görg; Axel Mithöfer; Michael Reichelt; Erich Seemüller; Jürgen Gross; Alexandra C U Furch
Journal:  PLoS Pathog       Date:  2021-03-25       Impact factor: 6.823

4.  Detection of 'Candidatus Phytoplasma solani' in roots from Bois noir symptomatic and recovered grapevines.

Authors:  Lucia Landi; Sergio Murolo; Gianfranco Romanazzi
Journal:  Sci Rep       Date:  2019-02-14       Impact factor: 4.379

5.  Involvement of SUT1 and SUT2 Sugar Transporters in the Impairment of Sugar Transport and Changes in Phloem Exudate Contents in Phytoplasma-Infected Plants.

Authors:  Federica De Marco; Brigitte Batailler; Michael R Thorpe; Frédérique Razan; Rozenn Le Hir; Françoise Vilaine; Alain Bouchereau; Marie-Laure Martin-Magniette; Sandrine Eveillard; Sylvie Dinant
Journal:  Int J Mol Sci       Date:  2021-01-13       Impact factor: 5.923

6.  Facile Labeling of Sieve Element Phloem-Protein Bodies Using the Reciprocal Oligosaccharide Probe OGA 488.

Authors:  Pakeeza Azizpor; Lucy Sullivan; Aedric Lim; Andrew Groover
Journal:  Front Plant Sci       Date:  2022-02-10       Impact factor: 5.753

7.  Effect of Phytoplasma Associated with Sesame Phyllody on Ultrastructural Modification, Physio-Biochemical Traits, Productivity and Oil Quality.

Authors:  Eman A Ahmed; Amro A Farrag; Ahmed A Kheder; Ahmed Shaaban
Journal:  Plants (Basel)       Date:  2022-02-10

8.  'Candidatus Phytoplasma solani' interferes with the distribution and uptake of iron in tomato.

Authors:  Sara Buoso; Laura Pagliari; Rita Musetti; Marta Martini; Fabio Marroni; Wolfgang Schmidt; Simonetta Santi
Journal:  BMC Genomics       Date:  2019-09-10       Impact factor: 3.969

9.  Innate Resistance and Phosphite Treatment Affect Both the Pathogen's and Host's Transcriptomes in the Tanoak-Phytophthora ramorum Pathosystem.

Authors:  Takao Kasuga; Katherine J Hayden; Catherine A Eyre; Peter J P Croucher; Shannon Schechter; Jessica W Wright; Matteo Garbelotto
Journal:  J Fungi (Basel)       Date:  2021-03-09

Review 10.  Bacterial Vector-Borne Plant Diseases: Unanswered Questions and Future Directions.

Authors:  Weijie Huang; Paola Reyes-Caldas; Marina Mann; Shirin Seifbarghi; Alexandra Kahn; Rodrigo P P Almeida; Laure Béven; Michelle Heck; Saskia A Hogenhout; Gitta Coaker
Journal:  Mol Plant       Date:  2020-08-21       Impact factor: 13.164

  10 in total

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