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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2017.01675</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title><italic>Phakopsora euvitis</italic> Causes Unusual Damage to Leaves and Modifies Carbohydrate Metabolism in Grapevine</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Nogueira J&#x000FA;nior</surname> <given-names>Antonio F.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/453219/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ribeiro</surname> <given-names>Rafael V.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/233596/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Appezzato-da-Gl&#x000F3;ria</surname> <given-names>Beatriz</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/478233/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Soares</surname> <given-names>Marli K. M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/478129/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rasera</surname> <given-names>J&#x000FA;lia B.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/478429/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Amorim</surname> <given-names>Lilian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/452271/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Epidemiology, Plant Pathology, ESALQ, University of Sao Paulo</institution>, <addr-line>Piracicaba</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Plant Biology, Institute of Biology, University of Campinas</institution>, <addr-line>Campinas</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jorge Almiro P. Paiva, Institute of Plant Genetics (PAN), Poland</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Anabela Bernardes Da Silva, Universidade de Lisboa, Portugal; Malgorzata Jedryczka, Institute of Plant Genetics (PAN), Poland; Alma Balestrazzi, University of Pavia, Italy</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Lilian Amorim <email>lilian.amorim&#x00040;usp.br</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Crop Science and Horticulture, a section of the journal Frontiers in Plant Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>09</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1675</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>06</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>09</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Nogueira J&#x000FA;nior, Ribeiro, Appezzato-da-Gl&#x000F3;ria, Soares, Rasera and Amorim.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Nogueira J&#x000FA;nior, Ribeiro, Appezzato-da-Gl&#x000F3;ria, Soares, Rasera and Amorim</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Asian grapevine rust (<italic>Phakopsora euvitis</italic>) is a serious disease, which causes severe leaf necrosis and early plant defoliation. These symptoms are unusual for a strict biotrophic pathogen. This work was performed to quantify the effects of <italic>P. euvitis</italic> on photosynthesis, carbohydrates, and biomass accumulation of grapevine. The reduction in photosynthetic efficiency of the green leaf tissue surrounding the lesions was quantified using the virtual lesion concept (<italic>&#x003B2;</italic> parameter). Gas exchange and responses of CO<sub>2</sub> assimilation to increasing intercellular CO<sub>2</sub> concentration were analyzed. Histopathological analyses and quantification of starch were also performed on diseased leaves. Biomass and carbohydrate accumulation were quantified in different organs of diseased and healthy plants. Rust reduced the photosynthetic rate, and <italic>&#x003B2;</italic> was estimated at 5.78, indicating a large virtual lesion. Mesophyll conductance, maximum rubisco carboxylation rate, and regeneration of ribulose-1,5-bisphosphate dependent on electron transport rate were reduced, causing diffusive and biochemical limitations to photosynthesis. Hypertrophy, chloroplast degeneration of mesophyll cells, and starch accumulation in cells close to lesions were observed. Root carbohydrate concentration was reduced, even at low rust severity. Asian grapevine rust dramatically reduced photosynthesis and altered the dynamics of production and accumulation of carbohydrates, unlike strict biotrophic pathogens. The reduction in carbohydrate reserves in roots would support polyetic damage on grapevine, caused by a polycyclic disease.</p>
</abstract>
<kwd-group>
<kwd>carbohydrate metabolism</kwd>
<kwd>gas exchange</kwd>
<kwd>grapevine rust</kwd>
<kwd><italic>Phakopsora euvitis</italic></kwd>
<kwd>photosynthetic limitations</kwd>
<kwd>starch accumulation</kwd>
<kwd><italic>Vitis labrusca</italic></kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="7"/>
<ref-count count="67"/>
<page-count count="12"/>
<word-count count="7934"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Rusts have always been considered important threats to crops due to the damage they incite in the host plant. Causal agents of rusts are biotrophic pathogens which have highly developed infection structures, such as, haustoria, and limited lytic enzymes. In addition these pathogens induce long-term suppression in host defense (Mendgen and Hahn, <xref ref-type="bibr" rid="B42">2002</xref>). Although they are highly specialized parasites, rust pathogens reduce host growth by diverting photoassimilates to their own development and reducing the host photosynthetic area (Helfer, <xref ref-type="bibr" rid="B31">2014</xref>). At the turn of the twenty-first century, many rusts emerged or re-emerged in different plants such as, wheat (Line, <xref ref-type="bibr" rid="B37">2002</xref>; Hodson, <xref ref-type="bibr" rid="B32">2011</xref>), soybean (Yorinori et al., <xref ref-type="bibr" rid="B65">2005</xref>; Sikora et al., <xref ref-type="bibr" rid="B57">2014</xref>; Murithi et al., <xref ref-type="bibr" rid="B44">2016</xref>), coffee (Avelino et al., <xref ref-type="bibr" rid="B5">2015</xref>), Myrtaceae species (Morin et al., <xref ref-type="bibr" rid="B43">2012</xref>), sugarcane (Zhao et al., <xref ref-type="bibr" rid="B67">2011</xref>), and grapevine (Vida and Tessmann, <xref ref-type="bibr" rid="B63">2005</xref>; Primiano et al., <xref ref-type="bibr" rid="B47">2017</xref>). Climate change, adaptability of rust pathogens to changing conditions, and exponential growth in air travel and international trade are possible causes for rust emergence (Hodson, <xref ref-type="bibr" rid="B32">2011</xref>). Recent rust epidemics in wheat, coffee and soybean caused negative economic (Hodson, <xref ref-type="bibr" rid="B32">2011</xref>; Sikora et al., <xref ref-type="bibr" rid="B57">2014</xref>), social (Avelino et al., <xref ref-type="bibr" rid="B5">2015</xref>), and environmental (Godoy et al., <xref ref-type="bibr" rid="B28">2016</xref>) impacts around the world.</p>
<p>Asian grapevine rust, henceforth called grapevine rust, is an endemic disease in Asia, where it was first described in 1895 (Ono, <xref ref-type="bibr" rid="B45">2000</xref>). In 2001, the disease was reported in northern Australia, which is more than 3,000 km distant from the Australian grapevine commercial areas. An eradication programme started in 2001 through annual surveys to eliminate infected plants. In July 2007, northern Australia was free from <italic>P. euvitis</italic> and the disease was considered eradicated (EPPO&#x02014;European Mediterranean Plant Protection Organization, <xref ref-type="bibr" rid="B20">2007</xref>). The disease was also detected in Brazil in 2001; however, unlike Australia, the disease spread over a radius of 1,000 km in a 5-year period, and it is now considered endemic in the country. The cultivation of grapevines increased after 1960 in Brazil, when cultivars produced by national breeding programmes and adapted to tropical and subtropical climates began to be distributed to growers. Currently, grapevines in Brazil cover an area of 77,544 ha (IBGE &#x02013; Instituto Brasileiro de Geografia e Estat&#x000ED;stica., <xref ref-type="bibr" rid="B33">2016</xref>), 50% of which is occupied by table grape cultivars for fresh fruit and juice production. Brazilian breeding programmes for table grape and juice production are based on interspecific crossings, mainly with the use of <italic>Vitis labrusca</italic>, which is highly susceptible to grapevine rust (Camargo, <xref ref-type="bibr" rid="B16">2004</xref>).</p>
<p>Initial symptoms of grapevine rust are small, circular, yellow-orange pustules scattered on the lower (abaxial) surface of the leaf. The pustules enlarge to approximately 5 mm<sup>2</sup>, becoming irregular and necrotic. On the upper (adaxial) side of the leaves, the lesions have an angular shape. Under high disease severity, the lesions are densely distributed, and premature defoliation occurs. Dispersal of urediniospores occurs mainly by wind. High humidity and darkness enhances urediniospore germination (Edwards, <xref ref-type="bibr" rid="B19">2015</xref>). The latent period ranges from 6 to 13 days on cultivar Niagara Rosada (<italic>V. labrusca</italic>) depending on the temperature (Angelotti et al., <xref ref-type="bibr" rid="B3">2014</xref>).</p>
<p>Usually, the impact of rust pathogens on CO<sub>2</sub> assimilation is limited to the lesioned area invaded by fungus mycelia (Scholes and Rolfe, <xref ref-type="bibr" rid="B52">1996</xref>). However, necrotrophic pathogens can reduce CO<sub>2</sub> assimilation on asymptomatic areas of diseased leaves as well. This phenomenon is called &#x0201C;virtual lesion,&#x0201D; which corresponds to the leaf area where photosynthesis is null. A virtual lesion can have the same size as or be larger than the visual lesion. The relationship between visual and virtual lesions can be assessed with the <italic>&#x003B2;</italic> parameter proposed by Bastiaans (<xref ref-type="bibr" rid="B10">1991</xref>). <italic>&#x003B2;</italic>-values are determined experimentally by relating the photosynthesis of leaves with different levels of visual lesions and photosynthesis in healthy leaves. Estimated <italic>&#x003B2;</italic>-values &#x0003E;1 indicate the existence of virtual lesions (Bastiaans, <xref ref-type="bibr" rid="B10">1991</xref>). High values of virtual lesions have been found for necrotrophic/hemibiotrophic pathogens such as, 3.74 for <italic>Pyricularia oryzae</italic> on rice (Bastiaans, <xref ref-type="bibr" rid="B10">1991</xref>), 12.12 for <italic>Mycosphaerella pinodes</italic> on dried pea (Garry et al., <xref ref-type="bibr" rid="B27">1998</xref>), and 7.97 for <italic>Colletotrichum lindemuthianum</italic> on common bean (Bassanezi et al., <xref ref-type="bibr" rid="B9">2001</xref>). Rust pathogens usually do not induce virtual lesions, or they induce only small ones (Bastiaans, <xref ref-type="bibr" rid="B10">1991</xref>; Bassanezi et al., <xref ref-type="bibr" rid="B9">2001</xref>).</p>
<p>Biotrophic pathogens also manipulate plant carbohydrate metabolism, driving plant sugars to their own needs, like a physiological sink absorbing assimilates (Zadoks and Schein, <xref ref-type="bibr" rid="B66">1979</xref>). In some plant-biotrophic pathogen interactions, the leaf starch dynamics is altered. Grapevine infected by <italic>Plasmopara viticola</italic> shows unusually high starch accumulation at the end of the dark period in lesion regions (Gamm et al., <xref ref-type="bibr" rid="B26">2011</xref>). Changes in the accumulation of carbohydrates in storage organs are also commonly observed in diseased plants (Boote et al., <xref ref-type="bibr" rid="B14">1983</xref>). Carbohydrate accumulation in roots during overwintering is essential for the development of perennial plants in the following season. Reduction of carbohydrate reserves in grapevine roots was associated with a reduction of 50% in inflorescences and flowers in the subsequent year (Bennett, <xref ref-type="bibr" rid="B11">2002</xref>).</p>
<p><italic>Phakopsora</italic> rusts seem to differ from other rusts in several aspects. Many <italic>Phakopsora</italic> species can penetrate directly into the host (Bonde et al., <xref ref-type="bibr" rid="B13">1976</xref>; Adendorff and Rijkenberg, <xref ref-type="bibr" rid="B1">2000</xref>; Seier et al., <xref ref-type="bibr" rid="B54">2009</xref>). Most of these pathogens cause intensive defoliation and some, such as, <italic>P. pachyrhizi</italic> and <italic>P. jatrophicola</italic>, cause extensive tissue necrosis (Melching et al., <xref ref-type="bibr" rid="B41">1979</xref>; Seier et al., <xref ref-type="bibr" rid="B54">2009</xref>). Damage caused by <italic>Phakopsora euvitis</italic> in grapevine has not been quantitatively assessed; therefore, the aim of this work was to quantify the effects of the disease on photosynthetic rates and carbohydrate dynamics. The approach used included histopathological analyses and the assessment of relationships between disease severity and photosynthesis to determine the presence of virtual lesions (<italic>sensu</italic> Bastiaans), revealing the underlying processes related to low photosynthetic performance, i.e., limitations imposed by rust and how root reserves are affected.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Plant material</title>
<p>In all experiments, potted grapevines (<italic>V. labrusca</italic>) cv. Niagara Rosada grafted on IAC-766 [<italic>Vitis riparia</italic> &#x000D7; (<italic>Vitis cordifolia</italic> &#x000D7; <italic>Vitis rupestris</italic>) &#x000D7; <italic>Vitis caribaea</italic>] rootstocks were used. The plants were grown in pots (7 L) containing sterilized substrate (clay soil, manure and, sand at a ratio of 1:1:1) and kept in a greenhouse at an average air temperature of 25&#x000B0;C. After bud break, the plants were reduced to a single stem, and each pot received 200 mL of water daily. The plants were fertilized monthly with 20 g of NPK (4:14:8) fertilizer.</p>
</sec>
<sec>
<title>Inoculum of <italic>Phakopsora euvitis</italic> and inoculation procedures</title>
<p>Grapevine diseased leaves containing urediniospores of <italic>P. euvitis</italic> were immersed in 200 mL of distilled water and leaves abaxial surface were scraped with a brush. Spore concentration was determined using a hemocytometer and adjusted to 10<sup>5</sup> urediniospores mL<sup>&#x02212;1</sup>. Serial dilutions were performed to obtain 10<sup>4</sup>, 10<sup>3</sup> and 10<sup>2</sup> urediniospores mL<sup>&#x02212;1</sup>. Urediniospore suspensions of <italic>P. euvitis</italic> were sprayed on the abaxial leaf surface until run-off. Inoculated plants were kept in a dark inoculation room for 24 h under 100% RH and 25&#x000B0;C. A humidifier was used to reach 100% RH in the inoculation room. Maintenance of the inoculum was carried out through re-inoculation of urediniospores onto healthy plants every month. This method of inoculation was used in all experiments. Plants in the control treatment were sprayed with water and kept under the same conditions. In all experiments, the inoculations were performed 1 month after bud break, when plants had seven fully expanded leaves.</p>
</sec>
<sec>
<title>Relationship between disease severity and leaf gas exchange</title>
<p>Two experiments were performed in a growth chamber (Conviron, Winnipeg, Canada) to determine how rust affects gas exchange of grapevine leaves. The conditions in the growth chamber were 25&#x000B0;C (&#x000B1; 2&#x000B0;C) with a photoperiod of 12 h, with photosynthetic active radiation (PAR) of 400 &#x003BC;mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>. Five treatments were applied in the first experiment: inoculations with 0, 10<sup>2</sup>, 10<sup>3</sup>, 10<sup>4</sup> and 10<sup>5</sup> urediniospores of <italic>P. euvitis</italic> mL<sup>&#x02212;1</sup>. In the second experiment, three treatments were applied: inoculation with 0, <inline-formula><mml:math id="M1"><mml:msubsup><mml:mrow><mml:mn>10</mml:mn></mml:mrow><mml:mrow><mml:mo>,</mml:mo></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> and 10<sup>5</sup> urediniospores of <italic>P. euvitis</italic> mL<sup>&#x02212;1</sup>. The fourth fully expanded leaf (from the plant base) was used for evaluation of gas exchange in both experiments. Five and ten replications were used in the first and second experiments, respectively. The experimental design was completely randomized.</p>
<p>Different levels of inoculum were used to obtain a wide range of levels of disease severity. The evaluations were carried out twice a week on the same leaf area of 2 cm<sup>2</sup>. The net CO<sub>2</sub> assimilation (<italic>A</italic>), stomatal conductance (<italic>g</italic><sub>s</sub>), intercellular CO<sub>2</sub> concentration (<italic>C</italic>i), and transpiration (<italic>E</italic>) were estimated in diseased and healthy leaves using a portable infrared gas analyser (LI-6400XT, LI-COR Inc., Lincoln, NE, USA). The air CO<sub>2</sub> concentration (<italic>C</italic>a) during the measurements was 400 &#x003BC;mol mol<sup>&#x02212;1</sup>, and gas exchange was measured under PAR of 800 &#x003BC;mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>. The leaf areas selected for evaluations of gas exchange were photographed, and digital images were processed with Quant software (Vale et al., <xref ref-type="bibr" rid="B61">2001</xref>) to estimate the disease severity in each assessment. The pustules and the eventual yellowish or brown halo that surrounded the pustules were considered the diseased area.</p>
</sec>
<sec>
<title>Estimating virtual lesions (<italic>&#x003B2;</italic>) using the Bastiaans model</title>
<p>Disease severity on the leaf areas assessed for gas exchange was related to the relative CO<sub>2</sub> assimilation rate by non-linear regression according to the model:</p>
<disp-formula id="E1"><label>(1)</label><mml:math id="M2"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:mi>P</mml:mi><mml:mtext>x</mml:mtext><mml:mo>/</mml:mo><mml:mi>P</mml:mi><mml:mtext>o</mml:mtext><mml:mo>=</mml:mo><mml:msup><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>1</mml:mn><mml:mo>-</mml:mo><mml:mi>x</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow></mml:msup></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where <italic>P</italic>x is the net photosynthetic rate of a leaf with rust severity <italic>x</italic>, and <italic>P</italic>o is the average photosynthetic rate of healthy leaves. The <italic>&#x003B2;</italic>-value corresponds to the effect of disease severity on the green leaf area adjacent to the lesion. The data from gas exchange experiments described in the previous section were used to estimate the <italic>&#x003B2;</italic>-values.</p>
<p>Values of <italic>g</italic><sub>s</sub>, <italic>C</italic>i, and <italic>E</italic> were transformed in proportions relative to the average value of each variable in healthy leaves (<italic>g</italic><sub>s</sub>x/<italic>g</italic><sub>s</sub>o, <italic>C</italic>ix/<italic>C</italic>io, and <italic>E</italic>x/<italic>E</italic>o) in both experiments. Bastiaans model (Equation 1) was also used to fit the data of <italic>g</italic><sub>s</sub>x/<italic>g</italic><sub>s</sub>o and <italic>E</italic>x/<italic>E</italic>o (dependent variables) vs. disease severity (independent variable). Linear regressions were performed between relative <italic>C</italic>i and disease severity. Statistica 6.0 software was used to perform non-linear regressions.</p>
</sec>
<sec>
<title>Photosynthetic limitations of plants infected with <italic>Phakopsora euvitis</italic></title>
<p>Two experiments were carried out to determine the photosynthetic limitations of plants infected with <italic>P. euvitis</italic>. Three plants were inoculated with <italic>P. euvitis</italic> at a concentration of 10<sup>4</sup> urediniospores mL<sup>&#x02212;1</sup>, and three plants were sprayed with water. After inoculation, plants were kept at greenhouse at temperature of 25&#x000B0;C (&#x000B1; 2&#x000B0;C). Six evaluations were made, two per day, beginning on the 15th day after inoculation. The evaluations were carried out with a LI-6400XT equipped with a fluorimeter (6400-40, LI-COR Inc., Lincoln, NE, USA). Some photosynthetic variables were estimated from curves of photosynthesis response to increasing chloroplastic CO<sub>2</sub> concentration.</p>
<p>Photosynthesis measurements were begun with <italic>C</italic>a of 400 &#x003BC;mol mol<sup>&#x02212;1</sup> that was gradually reduced (250, 150, 100) to 50 &#x003BC;mol mol<sup>&#x02212;1</sup> and then gradually increased (400, 600, 800, 1,400) up to 2,000 &#x003BC;mol mol<sup>&#x02212;1</sup>. Respiration (<italic>R</italic>) represents the intercept of the linear regression from initial values of the <italic>A</italic>/<italic>C</italic>i curve. Mesophyll conductance (<italic>g</italic><sub>m</sub>) was calculated as:</p>
<disp-formula id="E2"><label>(2)</label><mml:math id="M3"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>g</mml:mi></mml:mrow><mml:mrow><mml:mtext>m</mml:mtext></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi>A</mml:mi><mml:mo>/</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>C</mml:mi><mml:mtext>i</mml:mtext><mml:mo>-</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msup><mml:mrow><mml:mo>&#x00393;</mml:mo></mml:mrow><mml:mrow><mml:mo>&#x0002A;</mml:mo></mml:mrow></mml:msup><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>J</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mn>8</mml:mn><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>A</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mi>R</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>/</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>J</mml:mi><mml:mo>-</mml:mo><mml:mn>4</mml:mn><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>A</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mi>R</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where &#x00393;&#x0002A; is the photosynthetic compensation point, i.e., the CO<sub>2</sub> concentration at which the photorespiratory efflux of CO<sub>2</sub> is equal to the CO<sub>2</sub> photosynthetic assimilation rate; and <italic>J</italic> is the transport of electrons from chlorophyll fluorescence assessments. The CO<sub>2</sub> concentration at the site of carboxylation in the chloroplast (<italic>C</italic>c) was obtained with the following equation:</p>
<disp-formula id="E3"><label>(3)</label><mml:math id="M4"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:mi>C</mml:mi><mml:mtext>c</mml:mtext><mml:mo>=</mml:mo><mml:mi>C</mml:mi><mml:mtext>i</mml:mtext><mml:mo>-</mml:mo><mml:mi>A</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mrow><mml:mi>g</mml:mi></mml:mrow><mml:mrow><mml:mtext>m</mml:mtext></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>A/Cc curves were obtained and V<sub>cmax</sub> and J<sub>max</sub> were estimated (Farquhar et al., <xref ref-type="bibr" rid="B22">1980</xref>; Sharkey et al., <xref ref-type="bibr" rid="B55">2007</xref>; Flexas et al., <xref ref-type="bibr" rid="B25">2008</xref>):</p>
<disp-formula id="E4"><label>(4)</label><mml:math id="M5"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mrow><mml:mi>A</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mtext>cmax</mml:mtext></mml:mrow></mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>C</mml:mi><mml:mi>c</mml:mi><mml:mo>&#x02212;</mml:mo><mml:msup><mml:mo>&#x00393;</mml:mo><mml:mo>&#x02217;</mml:mo></mml:msup></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>/</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>C</mml:mi><mml:mi>c</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mi>K</mml:mi><mml:mi>c</mml:mi></mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mo stretchy='false'>(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x02212;</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>O</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mi>K</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<disp-formula id="E5"><label>(5)</label><mml:math id="M6"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:mi>A</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>J</mml:mi></mml:mrow><mml:mrow><mml:mtext>max</mml:mtext></mml:mrow></mml:msub><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>C</mml:mi><mml:mi>c</mml:mi><mml:mo>-</mml:mo><mml:msup><mml:mrow><mml:mo>&#x00393;</mml:mo></mml:mrow><mml:mrow><mml:mo>&#x0002A;</mml:mo></mml:mrow></mml:msup></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>/</mml:mo><mml:mn>4</mml:mn><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>C</mml:mi><mml:mi>c</mml:mi><mml:mo>&#x0002B;</mml:mo><mml:mn>2</mml:mn><mml:msup><mml:mrow><mml:mo>&#x00393;</mml:mo></mml:mrow><mml:mrow><mml:mo>&#x0002A;</mml:mo></mml:mrow></mml:msup></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where <italic>K</italic><sub>c</sub> and <italic>K</italic><sub>o</sub> are the Michaelis-Menten constants of Rubisco for carboxylation and oxygenation, respectively, and <italic>O</italic> is the internal O<sub>2</sub> concentration, considered equal to the external O<sub>2</sub> concentration (Flexas et al., <xref ref-type="bibr" rid="B24">2007</xref>). <italic>V</italic><sub>cmax</sub> and <italic>J</italic><sub>max</sub> were estimated by non-linear regressions with software STATISTICA 6.0.</p>
<p>From <italic>A</italic>/<italic>C</italic>c curves, the <italic>A</italic><sub>max</sub> and <italic>g</italic><sub>smax</sub> parameters that corresponded to the maximum amount of CO<sub>2</sub> assimilation and the maximum stomatal conductance, respectively, were also obtained. Stomatal limitation (<italic>L</italic>s) was calculated considering the <italic>A</italic>-values at <italic>C</italic>a of 400 &#x003BC;mol mol<sup>&#x02212;1</sup> and at <italic>C</italic>i of 400 &#x003BC;mol mol<sup>&#x02212;1</sup> (Farquhar and Sharkey, <xref ref-type="bibr" rid="B21">1982</xref>). The average values of photosynthesis-related variables of healthy and diseased plants were compared by Student&#x00027;s <italic>t</italic>-test (<italic>P</italic> &#x02264; 0.05).</p>
</sec>
<sec>
<title>Histopathological analyses</title>
<p>Two experiments were carried out in a greenhouse for the histopathological analyses of <italic>P. euvitis</italic> in cv. Niagara Rosada. Seven plants were inoculated with urediniospore suspensions of <italic>P. euvitis</italic> at a concentration of 10<sup>4</sup> urediniospores mL<sup>&#x02212;1</sup>, and seven plants were sprayed with water.</p>
<p>Five diseased leaves and five healthy leaves were sampled at dawn of the 14th and 40th days after inoculation for light microscopy analyses. Inoculated and healthy samples were fixed in Karnovsky solution modified with phosphate buffer pH 7.2. During fixation, a vacuum pump was used to remove air from the tissues, and then samples were dehydrated in an ethanol series (10, 20, 30, 40, 50, 60, 70, 80, 90, and 100%) and infiltrated in hydroxyethyl methacrylate (Leica Historesin&#x000AE;), as recommended by the manufacturer. The blocks were sectioned at 5&#x02013;7 &#x003BC;m thick in a rotational microtome (Leica RM 2045) with the aid of a steel blade (type C). Next, the slides were deposited on a hot plate at 40&#x000B0;C to dry and fix the sections on the blade. To detect starch grains, zinc-chloride iodine (Strasburger, <xref ref-type="bibr" rid="B59">1913</xref>) was used on the sections on the blades that were mounted on the reagent itself. Anatomy images were taken by using a Leica&#x000AE; DC video camera attached to a Leica&#x000AE; microscope 300F (Leica Microsystems Heerbrugg GmbH, Heerbrugg, Switzerland).</p>
<p>An area of 25 cm<sup>2</sup> was removed from the same leaves used for anatomy to determine the starch content. The samples were dried with forced air circulation (65&#x000B0;C) until they reached constant weight. Subsequently, the starch contents in the leaf fragments were determined using the enzymatic method proposed by Amaral et al. (<xref ref-type="bibr" rid="B2">2007</xref>). The contents of starch in healthy and diseased leaves were compared by Student&#x00027;s <italic>t</italic>-test (<italic>P</italic> &#x02264; 0.05).</p>
<p>Samples of diseased leaves were collected 22 days after inoculation and immediately fixed in a buffer containing 3% glutaraldehyde and 0.2 M cacodylate, pH 7.25, for transmission electron microscopy analyses. The samples were air-dried in a vacuum chamber for 5 min, post-fixed in 1% osmium tetroxide for 2 h, dehydrated through a graded series of acetone solutions (30, 50, 70, 90, and 100%), and embedded in Spurr&#x00027;s resin. The blocks were sliced with a Leica UC6 ultramicrotome. The sections were treated using 5% uranyl acetate and 2% lead citrate for 30 min each for contrast (Reynolds, <xref ref-type="bibr" rid="B49">1963</xref>). Electron micrographs were taken using a Gatan 830.J46W44 video camera attached to a Jeol transmission electron microscope (JEM-1011) at an acceleration voltage of 60 kV.</p>
</sec>
<sec>
<title>Dry matter partitioning and carbohydrate contents in grapevine</title>
<p>Two experiments were conducted, with five treatments: inoculation with 0, 10<sup>2</sup>, 10<sup>3</sup>, 10<sup>4</sup>, and 10<sup>5</sup> urediniospores mL<sup>&#x02212;1</sup> of <italic>P. euvitis</italic>. The experimental design was completely randomized with five replications. The plants were kept in a greenhouse for 45 days after inoculation. Rust severity (Angelotti et al., <xref ref-type="bibr" rid="B4">2008</xref>) and leaf area (Li-3100, LI-COR Inc., Lincoln, NE, USA) were estimated for all leaves of each plant. The stems, trunk and roots of each plant were collected and dried in an oven with forced air circulation (65&#x000B0;C) until they reached constant weight. The concentrations and total contents (concentration &#x0002A; dry mass) of carbohydrates in roots were determined. Soluble carbohydrates were extracted with a methanol:chloroform:water (MCW) solution, according to Bieleski and Turner (<xref ref-type="bibr" rid="B12">1966</xref>). The starch concentration was quantified in 10-mg samples from the insoluble fraction obtained from the soluble carbohydrate extraction. The contents of sucrose, total soluble sugars and starch were determined according to Dubois et al. (<xref ref-type="bibr" rid="B18">1956</xref>), van Handel (<xref ref-type="bibr" rid="B62">1968</xref>) and Amaral et al. (<xref ref-type="bibr" rid="B2">2007</xref>), respectively.</p>
<p>Linear regressions were performed on the relationships between leaf area and root biomass (dependent variables) and disease severity (independent variable). The relationships between the proportion of sucrose and starch contents (relative to the average of healthy plants) and disease severity were described by the power model</p>
<disp-formula id="E6"><label>(6)</label><mml:math id="M7"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mrow><mml:mi>a</mml:mi><mml:mi>x</mml:mi></mml:mrow><mml:mrow><mml:mo>-</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:msup></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where <italic>y</italic> is the relative carbohydrate content, <italic>x</italic> is disease severity and <italic>a</italic> and <italic>b</italic> are function parameters. The relationship between relative total soluble sugar content and disease severity was described by a negative exponential model</p>
<disp-formula id="E7"><label>(7)</label><mml:math id="M8"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mo class="qopname">exp</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>-</mml:mi><mml:mi>b</mml:mi><mml:mi>x</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>where <italic>y</italic> is the relative sugar content, <italic>x</italic> is disease severity and <italic>a</italic> and <italic>b</italic> are function parameters. Statistica 6.0 software (StatSoft Inc., Tulsa, OK, USA) was used in all statistical analyses (Equation 7). Non-linear regressions were performed with STATISTICA 6.0 software.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Relationship between disease severity and leaf gas exchange</title>
<p>The incubation period for <italic>P. euvitis</italic> was 7 days in all experiments. Rust severity reached 45 and 90% in experiments 1 and 2, respectively (Figure <xref ref-type="fig" rid="F1">1</xref>, Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">1</xref>). The <italic>A</italic>-values in healthy plants ranged from 8 to 15 &#x003BC;mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>, with an average of 12 &#x003BC;mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>. The <italic>g</italic><sub>s</sub>-values in healthy plants ranged from 0.06 to 0.61 mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>. The average values of <italic>C</italic>i and <italic>E</italic> in healthy plants were, respectively, 245.6 &#x003BC;mol mol<sup>&#x02212;1</sup> and 3.72 mmol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>. High variability in the relationships between disease severity vs. <italic>g</italic>s, <italic>C</italic>i, and <italic>E</italic> were observed (Figure <xref ref-type="fig" rid="F1">1</xref>). All regressions were significant, though the coefficients of determination were below 0.5. Slight decreases in relative values of g<sub><italic>s</italic></sub> (<italic>g</italic><sub>s</sub>x/<italic>g</italic><sub>s</sub>o) and <italic>E</italic> (<italic>E</italic>x/<italic>E</italic>o) were noticed when the severity of rust increased (Figures <xref ref-type="fig" rid="F1">1A,C</xref>). Both variables decreased according to equation 1 that estimated reductions for <italic>g</italic>s and <italic>E</italic> of 97 and 88%, respectively, for rust severity of 80% (Figures <xref ref-type="fig" rid="F1">1A,C</xref>). Relative <italic>C</italic>i (<italic>C</italic>i/<italic>C</italic>o) was directly proportional to disease severity, and an increase of 1.3% in disease severity corresponded to a 1% increase in intercellular CO<sub>2</sub> concentration (Figure <xref ref-type="fig" rid="F1">1B</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Relationships between the relative stomatal conductance (<italic>g</italic><sub>s</sub>), intercellular CO<sub>2</sub> concentration (<italic>C</italic>i), transpiration (<italic>E</italic>), and rust severity (<italic>Phakopsora euvitis</italic>) in grapevine cv. Niagara Rosada. The black circles represent data from the first experiment, and the white circles represent data from the second experiment. Lines represent Bastiaans model in <bold>(A,C)</bold> and the linear model in <bold>(B)</bold>. The average values for <italic>g</italic><sub>s</sub>, <italic>C</italic>i, and <italic>E</italic> in healthy leaves of experiment 1 are, respectively, 0.34 mol H<sub>2</sub>O m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>, 301.87 &#x003BC;mol CO<sub>2</sub> mol<sup>&#x02212;1</sup>, and 6.82 mmol H<sub>2</sub>O m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>. The average values for <italic>g</italic><sub>s</sub>, <italic>C</italic>i, and <italic>E</italic> in healthy leaves of experiment 2 are, respectively, 0.13 mol H<sub>2</sub>O m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>, 216.62 &#x003BC;mol CO<sub>2</sub> mol<sup>&#x02212;1</sup>, and 2.09 mmol H<sub>2</sub>O m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>.</p></caption>
<graphic xlink:href="fpls-08-01675-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Estimates of virtual lesions (<italic>&#x003B2;</italic>) using the model of Bastiaans</title>
<p>A steep decrease in the relative net photosynthetic rate was observed even at low rust severity, and null values of relative photosynthesis were observed in severities higher than 40% in experiment 1 and over 20% in experiment 2 (Figure <xref ref-type="fig" rid="F2">2</xref>). Low variability was observed in the relationships between disease severity and relative net photosynthetic rate, which was reflected by the high coefficient of determination (<italic>r</italic><sup>2</sup> &#x0003D; 0.90 and standard error &#x0003D; 0.35). The value of the <italic>&#x003B2;</italic> parameter, estimated by the model of Bastiaans, was 5.78. The estimated reduction of the net photosynthetic rate was 46 and 73% for disease severities of 10 and 20%, respectively. According to the model, the relative net photosynthetic rate becomes zero when rust severity reaches 40%.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Relationship between the relative net photosynthesis rate (<italic>P</italic>x/<italic>P</italic>o) and rust severity (<italic>Phakopsora euvitis</italic>) in grapevine cv. Niagara Rosada. The black circles represent data from the first experiment, and the white circles represent data from the second experiment (Total <italic>n</italic> &#x0003D; 158). The line represents the model <italic>y</italic> &#x0003D; (1 &#x02212; <italic>x</italic>)<sup>&#x003B2;</sup>.</p></caption>
<graphic xlink:href="fpls-08-01675-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Photosynthesis limitations in plants infected with <italic>Phakopsora euvitis</italic></title>
<p>Plants infected with <italic>P. euvitis</italic> showed lower photosynthetic activity than healthy plants. <italic>V</italic><sub>cmax</sub>, <italic>J</italic><sub>max</sub>, <italic>g</italic><sub>m</sub>, <italic>g</italic><sub>smax</sub>, and <italic>A</italic><sub>max</sub> were significantly higher in healthy plants than in diseased ones (Table <xref ref-type="table" rid="T1">1</xref>). The reduction in these parameters in diseased plants (average of disease severity &#x0003D; 7.2%) ranged from 35 to 67%, and g<sub>m</sub> was the photosynthetic variable most affected by rust. There was no significant difference in <italic>L</italic>s between healthy and diseased plants (Table <xref ref-type="table" rid="T1">1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Maximum Rubisco carboxylation rate (<italic>V</italic><sub>cmax</sub>), maximum rate of electron transport driving regeneration of ribulose-1,5-bisphosphate (<italic>J</italic><sub>max</sub>), mesophyll conductance (<italic>g</italic><sub>m</sub>), maximum stomatal conductance (<italic>g</italic><sub>smax</sub>), stomatal limitation (<italic>L</italic><sub>s</sub>), and maximum rate of net photosynthesis (<italic>A</italic><sub>max</sub>) in grapevine plants affected by rust (<italic>Phakopsora euvitis</italic>).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center" colspan="2"><bold>Healthy plants</bold></th>
<th valign="top" align="center" colspan="2"><bold>Infected plants</bold><xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>V</italic><sub>cmax</sub> (&#x003BC;mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">194.4</td>
<td valign="top" align="left">a</td>
<td valign="top" align="center">101.0</td>
<td valign="top" align="left">b</td>
</tr>
<tr>
<td valign="top" align="left"><italic>J</italic><sub>max</sub> (&#x003BC;mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">170.5</td>
<td valign="top" align="left">a</td>
<td valign="top" align="center">109.1</td>
<td valign="top" align="left">b</td>
</tr>
<tr>
<td valign="top" align="left"><italic>g</italic><sub>m</sub> (mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="left">a</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="left">b</td>
</tr>
<tr>
<td valign="top" align="left">g<sub>smax</sub> (mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="left">a</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="left">b</td>
</tr>
<tr>
<td valign="top" align="left"><italic>L</italic>s (%)</td>
<td valign="top" align="center">14.6</td>
<td/>
<td valign="top" align="center">20.9</td>
<td valign="top" align="left">ns</td>
</tr>
<tr>
<td valign="top" align="left"><italic>A</italic><sub>max</sub> (&#x003BC;mol m<sup>&#x02212;2</sup> s<sup>&#x02212;1</sup>)</td>
<td valign="top" align="center">28.0</td>
<td valign="top" align="left">a</td>
<td valign="top" align="center">16.9</td>
<td valign="top" align="left">b</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Values followed by the different letter in the row are significantly different by the Student t-test (P &#x02264; 0.05), ns means not significantly different</italic>.</p>
<fn id="TN1">
<label>a</label>
<p><italic>Mean severity (&#x000B1; standard deviation) of rust in diseased plants was 7.2 &#x000B1; 4.2%</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Histopathological analyses</title>
<p>Leaves infected with <italic>P. euvitis</italic> showed low starch contents in the mesophyll underlying the pustules (Figures <xref ref-type="fig" rid="F3">3A,B</xref>). However, there was a significant increase in the accumulation of starch in the chlorophyll parenchyma in regions adjacent to pustules (Figures <xref ref-type="fig" rid="F3">3A,C</xref>) compared to healthy leaves (Figures <xref ref-type="fig" rid="F3">3E&#x02013;G</xref>). The starch concentration was significantly higher (<italic>P</italic> &#x0003D; 0.02) in diseased (33.1 mg g<sup>&#x02212;1</sup>) than in healthy (22.9 mg g<sup>&#x02212;1</sup>) leaves, which corresponds to an increase of 44% in starch concentration in leaves with rust symptoms. The spongy parenchyma of diseased leaves showed reduction of intercellular spaces due to cell hypertrophy surrounding the pustules (Figure <xref ref-type="fig" rid="F3">3D</xref>) when compared with the spongy parenchyma of healthy leaves (Figures <xref ref-type="fig" rid="F3">3E&#x02013;G</xref>). Chloroplast degeneration due to disruption of plastid membranes was observed in chlorophyll parenchyma cells infected with <italic>P. euvitis</italic> (Figure <xref ref-type="fig" rid="F4">4</xref>). All degenerated chloroplasts were close to the pathogen haustoria (Figure <xref ref-type="fig" rid="F4">4</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Cross sections of leaves of <italic>Vitis labrusca</italic> cv. Niagara Rosada infected with <italic>Phakopsora euvitis</italic>, 14 <bold>(A&#x02013;C)</bold> and 40 <bold>(D)</bold> days after inoculation and healthy leaves <bold>(E&#x02013;G)</bold>. In <bold>(A)</bold>, note the almost absence of starch in the mesophyll underlying the pustule of <italic>P. euvitis</italic> (arrowhead) and the significant starch accumulation in the mesophyll in regions adjacent to pustules (arrow). These two leaf sectors are in detail in <bold>(B,C)</bold>, respectively. Starch accumulation is not observed in the healthy mesophyll <bold>(E&#x02013;G)</bold>. Spongy parenchyma cells hypertrophied in the regions near the pustules in leaves <bold>(D)</bold> and the spongy parenchyma with intercellular spaces in the healthy tissue <bold>(E&#x02013;G)</bold>. Pu, pustule; Sp, spongy parenchyma.</p></caption>
<graphic xlink:href="fpls-08-01675-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Transmission electron micrographs of leaves of <italic>Vitis labrusca</italic> cv. Niagara Rosada infected with <italic>Phakopsora euvitis</italic> showing chloroplast degeneration (arrows) in the spongy parenchyma cells <bold>(A&#x02013;C)</bold>. Ch, chloroplast; Pa, pathogen haustoria.</p></caption>
<graphic xlink:href="fpls-08-01675-g0004.tif"/>
</fig>
</sec>
<sec>
<title>Biomass and carbohydrates as affected by rust</title>
<p>Total leaf area of healthy plants ranged from 735 to 1712 cm<sup>2</sup>. Total leaf area decreased linearly with increasing rust severity, due to defoliation (Figure <xref ref-type="fig" rid="F5">5A</xref>, Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">2</xref>). According to the linear model, an increase of 1% in disease severity accounts for 11% reduction in leaf area. A linear reduction in root dry matter with increasing rust severity was also observed, although the variability was higher than that in the relationship between disease severity and leaf area (Figure <xref ref-type="fig" rid="F5">5B</xref>, Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">3</xref>). At 80% disease severity, the root dry matter decreased from 18.51 to 4.11 g. No correlation was found between disease severity and dry matter of trunks or stems in grapevine (Figures <xref ref-type="fig" rid="F5">5C,D</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Relationships between leaf area <bold>(A)</bold>, root dry matter <bold>(B)</bold>, trunk dry matter <bold>(C)</bold>, and stem dry matter <bold>(D)</bold> of grapevine cv. Niagara Rosada grafted on IAC 766 and rust severity (<italic>Phakopsora euvitis</italic>). The black circles represent data from the first experiment, and the white circles represent data from the second experiment. Lines represent the linear regressions (<italic>P</italic> &#x0003C; 0.05).</p></caption>
<graphic xlink:href="fpls-08-01675-g0005.tif"/>
</fig>
<p>The average concentrations of total soluble sugars, sucrose, and starch in healthy plants were, respectively, 55.4, 43.2, and 118 mg.g<sup>&#x02212;1</sup> of root dry matter, and the average contents of total soluble sugars, sucrose and starch were, respectively, 773.3, 659, and 2,850 mg per root (data not shown). The relative contents of these carbohydrates in roots decreased with increasing rust severity (Figure <xref ref-type="fig" rid="F6">6</xref>). The availability of sucrose in diseased plants (rust severity higher than 20%) was half the sucrose availability in healthy plants (Figure <xref ref-type="fig" rid="F6">6B</xref>). A reduction of 60% in starch availability was observed in plants with rust severities between 20 and 80% (Figure <xref ref-type="fig" rid="F6">6C</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Relative variations of total soluble sugars (AST), sucrose and starch in roots of grapevine cv. Niagara Rosada as a function of rust severity (<italic>Phakopsora euvitis</italic>) 45 days after inoculation. Data from the dependent variables were compared to the average data of control plants. Open circles correspond to the data of experiment 1 and closed circles, data from experiment 2. Lines represent the exponential negative <bold>(A)</bold> and power models <bold>(B,C)</bold>.</p></caption>
<graphic xlink:href="fpls-08-01675-g0006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Colonization by <italic>P. euvitis</italic> caused a significant reduction in CO<sub>2</sub> assimilation rate in leaves of <italic>V. labrusca</italic>. The impairment of the photosynthetic rate of leaves was caused by the effects of the pathogen on the green symptomless tissues surrounding pustules, which was quantified by the <italic>&#x003B2;</italic> parameter (5.78). <italic>&#x003B2;</italic>-values higher than 2 are unusual for rusts. In the pathosystems <italic>Puccinia recondita</italic> f. sp. <italic>Tritici</italic>&#x02014;wheat (Spitters et al., <xref ref-type="bibr" rid="B58">1990</xref>; Bastiaans, <xref ref-type="bibr" rid="B10">1991</xref>), <italic>Uromyces appendiculatus</italic>&#x02014;common bean (Bassanezi et al., <xref ref-type="bibr" rid="B9">2001</xref>), and <italic>Puccinia triticina</italic>&#x02014;wheat (Robert et al., <xref ref-type="bibr" rid="B50">2005</xref>), <italic>&#x003B2;</italic>-values were 1.2, 2.1, and 1.0, respectively. Even for <italic>Phakopsora parchyrhizi</italic>, which causes severe damage in soybean, <italic>&#x003B2;</italic>-values ranged from 2.1 to 2.5 (Kumudini et al., <xref ref-type="bibr" rid="B35">2010</xref>). Low disturbance of colonized tissue is expected in plants infected by biotrophic pathogens, as evolutionarily, a functional host is advantageous and necessary for their survival (Shtienberg, <xref ref-type="bibr" rid="B56">1992</xref>). However, <italic>P. euvitis</italic> in grapevine does not fit this generalization. The damage caused by <italic>P. euvitis</italic> has a magnitude of damage similar to that caused by necrotrophic or hemibiotrophic pathogens. <italic>&#x003B2;</italic>-values quantified in the pathosystems <italic>Magnaporthe oryzae&#x02014;</italic>rice, <italic>Pseudocercospora griseola</italic>&#x02014;common bean, and <italic>C. lindemuthianum</italic>&#x02014;common bean were 3.0&#x02013;3.7, 3.8, and 7.9, respectively. High values for the <italic>&#x003B2;</italic> parameter have also been reported for some rusts; however, in those cases, disease severity was underestimated because the halos surrounding uredia were disregarded (McGrath and Pennypacker, <xref ref-type="bibr" rid="B40">1990</xref>; Robert et al., <xref ref-type="bibr" rid="B50">2005</xref>). In our study, the leaf tissue adjacent to lesions showed several changes, such as, hypertrophy of mesophyll cells, decrease in intercellular space, and chloroplast degeneration. In addition, in the green leaf tissue surrounding the lesions, over a distance that was twice the lesion size, mesophyll cells could show unusual starch accumulation. These important changes in mesophyll tissue can explain the high <italic>&#x003B2;</italic>-value observed in this study.</p>
<p><italic>U. appendiculatus</italic> in common bean and <italic>Puccinia hordei</italic> in barley plants also induce starch accumulation in the chloroplasts of colonized cells or their neighbors, but rarely in cells beyond the pustule edge (Szir&#x000E1;ki et al., <xref ref-type="bibr" rid="B60">1984</xref>; Scholes and Farrar, <xref ref-type="bibr" rid="B51">1987</xref>). Starch accumulation may be the result of increased activity of acid invertase, which hydrolyses sucrose in hexoses in the infection sites of rusts (Long et al., <xref ref-type="bibr" rid="B38">1975</xref>). As the chloroplasts of the cells surrounding pustules are damaged, starch synthesis occurs in the first available chloroplasts (Long et al., <xref ref-type="bibr" rid="B38">1975</xref>; Hay and Walker, <xref ref-type="bibr" rid="B30">1989</xref>). Starch accumulation due to increased acid invertase activity in tissues surrounding pustules would cause the down-regulation of the Calvin cycle and the reduction of Rubisco activity (Wagner and Boyle, <xref ref-type="bibr" rid="B64">1995</xref>; Bassanezi et al., <xref ref-type="bibr" rid="B8">2002</xref>). The reduction of Rubisco activity observed in this study has been reported in other biotrophic pathosystems (Ayres, <xref ref-type="bibr" rid="B6">1981</xref>; Scholes et al., <xref ref-type="bibr" rid="B53">1994</xref>; Bassanezi et al., <xref ref-type="bibr" rid="B7">2000</xref>). However, the magnitude of the reduction in Rubisco activity in diseased <italic>Vitis</italic> was much higher (47%, Table <xref ref-type="table" rid="T1">1</xref>) than that of other rusts, such as, common bean rust (27%, Bassanezi et al., <xref ref-type="bibr" rid="B7">2000</xref>). Leaves of beans with angular leaf spot (<italic>P. griseola</italic>) showed similar reductions in Rubisco activity, in the range of 30&#x02013;47% (Bassanezi et al., <xref ref-type="bibr" rid="B7">2000</xref>). The reduction in regeneration of RuBP dependent on electron transport (Table <xref ref-type="table" rid="T1">1</xref>) in infected leaves of grapevine can be related to the rupture of chloroplast membranes with release of their contents to the cytoplasm (Figure <xref ref-type="fig" rid="F4">4</xref>) in mesophyll regions adjacent to the pustules.</p>
<p>The impressive reduction in the diffusion of CO<sub>2</sub> in the mesophyll (<italic>g</italic><sub>m</sub>) observed in this work could be a consequence of a reduction in the efficiency of the CO<sub>2</sub> fixation process (Gordon and Duniway, <xref ref-type="bibr" rid="B29">1982</xref>) and of physical barriers to CO<sub>2</sub> diffusion (Flexas et al., <xref ref-type="bibr" rid="B23">2012</xref>). The hypertrophy of parenchyma cells that was observed near pustules contributes to the reduction of intercellular spaces, which may act as a physical barrier to CO<sub>2</sub> diffusion. Hypertrophy of spongy parenchyma cells and decreased intercellular spaces were also observed in leaves of soybean infected with <italic>Phakopsora pachyrhizi</italic> (Bonde et al., <xref ref-type="bibr" rid="B13">1976</xref>). Histological and morphological changes, such as, cellular hypertrophy and galls, are associated with symptoms of microcyclic rusts. These changes can be caused by the production of growth regulatory substances by pathogens and/or by plants (Quilliam and Shattock, <xref ref-type="bibr" rid="B48">2003</xref>). In the case of macrocyclic rusts, such as, those in the genus <italic>Phakopsora</italic>, the cause of these histopathological changes in cells surrounding infection sites remains unknown. Taking into account the changes in photosynthetic traits related to mesophyll processes (Table <xref ref-type="table" rid="T1">1</xref>) and the differential sensitivities of stomatal conductance and photosynthesis (Figures <xref ref-type="fig" rid="F1">1A</xref>, <xref ref-type="fig" rid="F2">2</xref>), our data clearly indicate that <italic>P. euvitis</italic> reduces grapevine photosynthesis through non-stomatal limitation, imposing damage on CO<sub>2</sub> fixation by Rubisco and RuBP regeneration through electron transport chains in the thylakoids and by reducing CO<sub>2</sub> transport to carboxylation sites inside the chloroplasts.</p>
<p>Increased transpiration is commonly observed in diseased leaves when pustules rupture the leaf epidermis, as in graminicolous rusts (Shtienberg, <xref ref-type="bibr" rid="B56">1992</xref>). However, we did not find increases in transpiration in diseased plants even under high rust severity, which agrees with the behavior of common bean rust (Bassanezi et al., <xref ref-type="bibr" rid="B8">2002</xref>). Due to the slight effect of this pathogen in stomatal resistance, a clear relationship between <italic>g</italic><sub>s</sub> and <italic>E</italic> vs. disease severity was not observed. Low values of determination coefficients (<italic>r</italic><sup>2</sup>) in the non-linear regressions reinforce the weak relationship between disease severity and <italic>g</italic><sub>s</sub> or <italic>E</italic>.</p>
<p>The reduction in biomass and carbohydrates in the roots of diseased plants is a consequence of colonization of <italic>P. euvitis</italic> in leaves, which caused an imbalance in the translocation of photoassimilates. Changes in photoassimilate translocation are attributed mainly to the establishment of new sinks in the pathogen infection sites. Both necrotrophic and biotrophic pathogens can cause disturbances in the translocation of assimilates. However, carbohydrate accumulation in infected tissues is a typical feature of biotrophic fungi (Hay and Walker, <xref ref-type="bibr" rid="B30">1989</xref>). Leaves of common bean infected with <italic>U. appendiculatus</italic> behave as photoassimilate sinks, reducing the partitioning of carbon into roots and new leaves. Leaves of barley infected with <italic>P. hordei</italic> export less sucrose to other plant organs, and diseased plants show reduced growth (Owera et al., <xref ref-type="bibr" rid="B46">1983</xref>). The reduction in carbohydrate accumulation in roots of <italic>V. labrusca</italic> is significant even in plants with low rust severity levels (Figure <xref ref-type="fig" rid="F6">6</xref>). As grapevine plants use starch stored in roots for their growth in the early stages of development from bud break until the beginning of flowering (Keller, <xref ref-type="bibr" rid="B34">2010</xref>), the occurrence of grapevine rust in one season can reduce grapevine vigor in the subsequent season (Vida and Tessmann, <xref ref-type="bibr" rid="B63">2005</xref>). Polyetic yield loss, i.e., an increase in yield losses from 1 year to the next, caused by a disease, is a common feature of systemic diseases in perennial crops. In these pathosystems, there is inoculum accumulation; consequently, the build-up of the epidemic takes many years (Zadoks and Schein, <xref ref-type="bibr" rid="B66">1979</xref>). Grapevine rust is a polycyclic disease in which the inoculum does not accumulate over seasons. However, yield losses caused by this disease are typically polyetic. The reduction in the photosynthetic rate and carbohydrate production that is associated with defoliation caused by <italic>P. euvitis</italic> in one season leads to retarded bud break and flowering and to a reduction in the number of flowers and the weight of clusters in the following season (CABI - Centre for Agriculture Biosciences International, <xref ref-type="bibr" rid="B15">2015</xref>). As the onset of grapevine rust frequently occurs after harvest in the tropics, the yield losses caused by the current epidemics are usually unnoticed. The polyetic losses, however, are important in the long term. A similar situation was reported for coffee diseases in Central America (Avelino et al., <xref ref-type="bibr" rid="B5">2015</xref>; Cerda et al., <xref ref-type="bibr" rid="B17">2017</xref>).</p>
<p>In conclusion, <italic>P. euvitis</italic> dramatically reduced photosynthesis and altered the dynamics of production and accumulation of carbohydrates in <italic>V. labrusca</italic>. The alternative sink for photoassimilates and the changes in translocation patterns caused by <italic>P. euvitis</italic> are common characteristics of biotrophic pathogens (Lewis, <xref ref-type="bibr" rid="B36">1973</xref>). However, the magnitude of the reduction in the photosynthetic rate of asymptomatic tissue surrounding the lesion is comparable to that caused by necrotrophic pathogens (Bassanezi et al., <xref ref-type="bibr" rid="B7">2000</xref>, <xref ref-type="bibr" rid="B9">2001</xref>). The dichotomy of biotrophic and necrotrophic pathogens may give the impression that they represent absolute categories. In fact, there is a continuous gradation between the two types of pathogens (Lucas, <xref ref-type="bibr" rid="B39">1998</xref>). <italic>P. euvitis</italic> is within this evolutionary continuum, closer to the strict biotrophic, but with some necrotrophic features in its type of colonization.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>AN, RR, and LA conceived, planned, and designed the research, and wrote the manuscript. AN performed the experiments involving gas exchange and carbohydrates dynamics. BA was responsible for design and interpretation of histopathological experiments. MS and JR performed the optical and electron microscopy. All authors reviewed the final version of the manuscript.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer MJ and handling Editor declared their shared affiliation.</p>
</sec>
</sec>
</body>
<back>
<ack><p>The authors gratefully acknowledge financial support from FAPESP (2013/24003-9), fellowships from CNPq (303715/2014-6, 306005/2013-1, and 3052221/2014-0), and technical support provided by Silvia A. Louren&#x000E7;o from Plant Pathology Department and Elliot W. Kitajima from the University of Sao Paulo (NAP-MEPA).</p>
</ack>
<sec sec-type="supplementary-material" id="s6">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fpls.2017.01675/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fpls.2017.01675/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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