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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.2023.1236511</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>A novel sunflower broomrape race with unusual virulence potentially caused by a mutation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Fern&#xe1;ndez-Melero</surname>
<given-names>Bel&#xe9;n</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2418269"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mart&#xed;n-Sanz</surname>
<given-names>Alberto</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2497698"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>del Moral</surname>
<given-names>Lidia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>P&#xe9;rez-Vich</surname>
<given-names>Bego&#xf1;a</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/305437"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Velasco</surname>
<given-names>Leonardo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/196261"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Plant Breeding, Instituto de Agricultura Sostenible &#x2013; Consejo Superior de Investigaciones Cient&#xed;ficas (IAS-CSIC)</institution>, <addr-line>C&#xf3;rdoba</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Syngenta Espa&#xf1;a S.A.</institution>, <addr-line>Carmona</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ake Liu, Changzhi University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yalcin Kaya, Trakya University, T&#xfc;rkiye; Aleksandra Radanovic, Institute of Field and Vegetable Crops, Serbia; William Underwood, United States Department of Agriculture, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Leonardo Velasco, <email xlink:href="mailto:lvelasco@ias.csic.es">lvelasco@ias.csic.es</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1236511</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Fern&#xe1;ndez-Melero, Mart&#xed;n-Sanz, del Moral, P&#xe9;rez-Vich and Velasco</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Fern&#xe1;ndez-Melero, Mart&#xed;n-Sanz, del Moral, P&#xe9;rez-Vich and Velasco</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) and the copyright owner(s) 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>
<sec>
<title>Introduction</title>
<p>The sunflower broomrape (<italic>Orobanche cumana</italic> Wallr.) gene pools of the Guadalquivir Valley and Cuenca province in Spain had predominantly race-F virulence. A new race G was observed recently in the Guadalquivir Valley potentially due to the genetic recombination of the avirulence genes of both gene pools.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this research, we have studied populations with atypical virulence from Cuenca. These populations parasitize on DEB2 sunflower line, resistant to all race-G populations evaluated. Ten populations collected in Cuenca province were evaluated with sunflower differential lines and genotyped with 67 SNP markers.</p>
</sec>
<sec>
<title>Results</title>
<p>Although genetic recombination with individuals of the Guadalquivir Valley gene pool has been observed in most populations, recombination of avirulence genes was discarded as the cause of the new virulence because the population with the highest degree of attack on DEB2 showed no introgression from an external gene pool. Accordingly, a point mutation is proposed as the putative cause of the new virulence.</p>
</sec>
<sec>
<title>Discussion</title>
<p>The present study provided a detailed characterization of each population, including the accurate classification of the individuals belonging to each of the classical Spanish gene pools, F1 hybrids, and those that evolved from hybridization between both gene pools. This information is essential to understand how sunflower broomrape populations are evolving in Spain, which in turn may be helpful to understand the dynamics of sunflower broomrape populations in other areas of the world and use this information to develop durable strategies for resistance breeding.</p>
</sec>
</abstract>
<kwd-group>
<kwd>intrapopulation diversity</kwd>
<kwd>
<italic>Orobanche cumana</italic>
</kwd>
<kwd>population genetics</kwd>
<kwd>racial evolution</kwd>
<kwd>virulence</kwd>
</kwd-group>
<contract-sponsor id="cn001">Ministerio de Ciencia e Innovaci&#xf3;n<named-content content-type="fundref-id">10.13039/501100004837</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="35"/>
<page-count count="10"/>
<word-count count="6118"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Pathogen Interactions</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The holoparasitic plant species sunflower broomrape (<italic>Orobanche cumana</italic> Wallr.) is currently one of the main constraints for sunflower production in most sunflower-producing areas. This species is currently distributed across Europe and Asia (<xref ref-type="bibr" rid="B10">Fern&#xe1;ndez-Mart&#xed;nez et&#xa0;al., 2015</xref>) and is spreading to other areas, such as Africa (<xref ref-type="bibr" rid="B2">Amri et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B23">Nabloussi et&#xa0;al., 2018</xref>). Sunflower yield losses due to broomrape infestation can surpass 50% when susceptible hybrids are grown, reaching even 100% under conditions of heavy infestation (<xref ref-type="bibr" rid="B4">Cveji&#x107; et&#xa0;al., 2020</xref>). In the wild, sunflower broomrape has a narrow range of host plants restricted to the Asteraceae family, particularly species of Artemisia, across a geographic range stretching from Central Asia to South-eastern Europe (<xref ref-type="bibr" rid="B28">Pujadas-Salv&#xe0; and Velasco, 2000</xref>). In agricultural production, sunflower broomrape is host-specific and only parasitizes on sunflower crops (<xref ref-type="bibr" rid="B10">Fern&#xe1;ndez-Mart&#xed;nez et&#xa0;al., 2015</xref>).</p>
<p>Sunflower broomrape produces numerous minuscule seeds that remain in a dormant state within the soil until their germination is triggered by specific compounds exuded by the host plant, primarily strigolactones and sesquiterpene lactones (<xref ref-type="bibr" rid="B29">Raupp and Spring, 2013</xref>). Upon germination, the germ tube elongates its cells towards the host plant&#x2019;s roots. When it reaches them, its apical cells differentiate into papillae secreting a mucilaginous substance that promotes adhesion to the host. After attachment, the germ tube produces a swollen structure at the apex, the prehaustorium, whose intrusive cells progress through the host root tissues (<xref ref-type="bibr" rid="B5">Delavault, 2015</xref>). Once the pre-haustorium penetrates the endodermis, parasite cells progress toward host vessels and then initiate a specialized endophytic organ, the haustorium <italic>sensu stricto</italic>, that proceeds to the establishment of vascular connections and enables the parasite to uptake water and nutrients from the host conductive system (<xref ref-type="bibr" rid="B5">Delavault, 2015</xref>). Then, broomrape begins to derive phloemic flow acting as a strong nutrient sink and a nutrient storage organ called tubercle develops quickly from which an underground shoot develops (<xref ref-type="bibr" rid="B16">Krupp et&#xa0;al., 2019</xref>). The shoots emerge from the soil, flower, and produce new seeds that contribute to the expansion of the seed bank (<xref ref-type="bibr" rid="B21">Molinero-Ruiz et&#xa0;al., 2015</xref>).</p>
<p>In contrast to most parasitic systems involving <italic>Orobanche</italic> or the closely related <italic>Phelipanche</italic> species, the interaction between sunflower broomrape and sunflower is primarily characterized by a gene-for-gene relationship. In this interaction, a dominant resistance gene in the sunflower host interacts with a corresponding dominant avirulence gene in the broomrape parasite (<xref ref-type="bibr" rid="B30">Rodr&#xed;guez-Ojeda et&#xa0;al., 2013</xref>). This type of interaction, characterized by vertical or qualitative resistance mechanisms within the host, gives rise to distinct physiological races of the parasite (<xref ref-type="bibr" rid="B10">Fern&#xe1;ndez-Mart&#xed;nez et&#xa0;al., 2015</xref>). These races are designated with letters, starting with A, representing the initial race observed in Russia during the nineteenth century, and extending to G, which is currently the most virulent race prevalent in many regions (<xref ref-type="bibr" rid="B4">Cveji&#x107; et&#xa0;al., 2020</xref>). Nevertheless, it remains uncertain whether populations labeled with the same letter in various parts of the world truly represent the same physiological race, given the absence of a universally applicable set of differential lines for race classification (<xref ref-type="bibr" rid="B34">Velasco et&#xa0;al., 2016</xref>). For that reason, <xref ref-type="bibr" rid="B19">Mart&#xed;n-Sanz et&#xa0;al. (2016)</xref> proposed adding a subscript abbreviation to the letter of the race to indicate the country or region of origin.</p>
<p>Broomrape race evolution has been parallel in most of the areas where the parasite has been present for a long time, probably because the resistance genes deployed in commercial cultivars were the same. In these areas, race E was the most virulent race at the end of the 1970s (<xref ref-type="bibr" rid="B35">Vranceanu et&#xa0;al., 1980</xref>). Populations with increased virulence, named race F were detected in 1995 in Spain (<xref ref-type="bibr" rid="B1">Alonso et&#xa0;al., 1996</xref>) and shortly after in most areas of Eastern Europe (<xref ref-type="bibr" rid="B33">&#x160;kori&#x107; et&#xa0;al., 2010</xref>). New populations of race G overcoming race-F-resistant hybrids were first identified in Turkey (<xref ref-type="bibr" rid="B15">Kaya et&#xa0;al., 2004</xref>) and not long after in the main sunflower-producing areas of Europe and Asia (<xref ref-type="bibr" rid="B14">Kaya, 2014</xref>).</p>
<p>In Spain, where sunflower broomrape is not present in the wild flora, and the parasite only occurs in agricultural fields after its introduction from other areas, two genetically separated gene pools have been identified, one of them in the Guadalquivir Valley in southern Spain and another in Cuenca province in central Spain. Both gene pools exhibit shallow genetic diversity due to founder effects (<xref ref-type="bibr" rid="B26">Pineda-Martos et&#xa0;al., 2013</xref>). These authors observed for the first time the admixture of plants from both gene pools in a few sunflower fields. They also documented the existence of cross-fertilization between individuals of both gene pools in some of the populations, although genetic recombination did not affect virulence. A few years later, <xref ref-type="bibr" rid="B19">Mart&#xed;n-Sanz et&#xa0;al. (2016)</xref> identified populations in southern Spain derived from the genetic recombination of the Guadalquivir and Cuenca gene pools that possessed increased virulence compared to the original race-F populations. These populations overcame the genetic resistance in most race-F-resistant hybrids tested and were classified as race G<sub>GV</sub>. The authors hypothesized that increased virulence resulted from the genetic recombination of avirulence genes from the two gene pools. It is important to recall that sunflower and sunflower broomrape generally follow a gene-for-gene interaction, in which a resistance gene in the crop interacts with an avirulence gene in the parasite (<xref ref-type="bibr" rid="B35">Vranceanu et&#xa0;al., 1980</xref>; <xref ref-type="bibr" rid="B30">Rodr&#xed;guez-Ojeda et&#xa0;al., 2013</xref>).</p>
<p>The situation of the Cuenca gene pool has remained unexplored since the study of <xref ref-type="bibr" rid="B26">Pineda-Martos et&#xa0;al. (2013)</xref>. Meanwhile, it was noticed that some populations of that area possessed the ability to parasitize on DEB2 sunflower line, which is resistant to race-G populations from eastern Europe and southern Spain (<xref ref-type="bibr" rid="B19">Mart&#xed;n-Sanz et&#xa0;al., 2016</xref>). Accordingly, this study aimed to evaluate the virulence and population structure of a set of sunflower broomrape populations collected in Cuenca Province, Spain.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Sunflower broomrape populations</title>
<p>The populations used in the study are listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. They include 10 populations collected in Cuenca province and characterized for the first time in this research. Seed collection from these populations was conducted in September 2014 and 2020 on commercial sunflower fields, in all cases on a single cultivar. The level of broomrape resistance of the cultivar is indicated in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> in the cases in which it was known. Mature broomrape plants growing on at least 50 sunflower plants were cut and placed in paper bags. Individual paper bags were labeled, folded, and stapled to avoid seed contamination during transportation. Additionally, the following populations were used: two populations of race F from the Guadalquivir Valley (F<sub>GV</sub>), two populations of race F from Cuenca (F<sub>CU</sub>), and three populations of race G from the Guadalquivir Valley (G<sub>GV</sub>). These populations were used as controls in the molecular studies to characterize population structure and genetic diversity. In the experiments for evaluating virulence against a set of differential lines, only the G<sub>GV</sub> populations were used as controls. The use of F<sub>GV</sub> populations as controls in the study of virulence was considered unnecessary since they have lower virulence than G<sub>GV</sub> populations (<xref ref-type="bibr" rid="B19">Mart&#xed;n-Sanz et&#xa0;al., 2016</xref>). No viable seeds of the F<sub>CU</sub> gene pool from populations that can be unequivocally considered pure were available.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Data of collection and role of the sunflower broomrape populations used.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Population</th>
<th valign="top" align="left">Location</th>
<th valign="top" align="left">Province</th>
<th valign="top" align="left">Date</th>
<th valign="top" align="left">Sunflower type</th>
<th valign="top" align="left">Role</th>
<th valign="top" align="left">Race</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">NCU1</td>
<td valign="top" align="left">Palomares del Campo</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left">Race-F resistant</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU2</td>
<td valign="top" align="left">Palomares del Campo</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU3</td>
<td valign="top" align="left">Palomares del Campo</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU4</td>
<td valign="top" align="left">Palomares del Campo</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">Race-F resistant</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU5</td>
<td valign="top" align="left">Montalbo</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">Race-E resistant</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU6</td>
<td valign="top" align="left">Montalbo</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">Race-E resistant</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU7</td>
<td valign="top" align="left">Torralba</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">Race-E resistant</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU8</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU9</td>
<td valign="top" align="left">Naharros</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">NCU10</td>
<td valign="top" align="left">La Almarcha</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left">Race-F resistant</td>
<td valign="top" align="left">Under study</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">SE10</td>
<td valign="top" align="left">&#xc9;cija</td>
<td valign="top" align="left">Sevilla</td>
<td valign="top" align="left">2007</td>
<td valign="top" align="left">Race-E resistant</td>
<td valign="top" align="left">Control for molecular studies</td>
<td valign="top" align="left">F<sub>GV</sub>
</td>
</tr>
<tr>
<td valign="top" align="left">CO02</td>
<td valign="top" align="left">Aldea Quintana</td>
<td valign="top" align="left">C&#xf3;rdoba</td>
<td valign="top" align="left">1995</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Control for molecular studies</td>
<td valign="top" align="left">F<sub>GV</sub>
</td>
</tr>
<tr>
<td valign="top" align="left">CU05</td>
<td valign="top" align="left">La Almarcha</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">1996</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Control for molecular studies</td>
<td valign="top" align="left">F<sub>CU</sub>
</td>
</tr>
<tr>
<td valign="top" align="left">CU08</td>
<td valign="top" align="left">Carrascosa del Campo</td>
<td valign="top" align="left">Cuenca</td>
<td valign="top" align="left">1996</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Control for molecular studies</td>
<td valign="top" align="left">F<sub>CU</sub>
</td>
</tr>
<tr>
<td valign="top" align="left">NGV1</td>
<td valign="top" align="left">Las Cabezas</td>
<td valign="top" align="left">Sevilla</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left">Race-F resistant</td>
<td valign="top" align="left">Control for molecular and virulence studies</td>
<td valign="top" align="left">G<sub>GV</sub>
</td>
</tr>
<tr>
<td valign="top" align="left">NGV2</td>
<td valign="top" align="left">&#xc9;cija</td>
<td valign="top" align="left">Sevilla</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left">Race-F resistant</td>
<td valign="top" align="left">Control for molecular and virulence studies</td>
<td valign="top" align="left">G<sub>GV</sub>
</td>
</tr>
<tr>
<td valign="top" align="left">NGV3</td>
<td valign="top" align="left">Marchena</td>
<td valign="top" align="left">Sevilla</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left">Race-F resistant</td>
<td valign="top" align="left">Control for molecular and virulence studies</td>
<td valign="top" align="left">G<sub>GV</sub>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2">
<title>Sunflower differential lines</title>
<p>Sunflower lines used to test the virulence of the broomrape populations were: B117, susceptible to all known broomrape races; NR5, which has the <italic>Or5</italic> alleles that confer resistance to race E; P96, with oligogenic resistance to race F (<xref ref-type="bibr" rid="B9">Fern&#xe1;ndez-Mart&#xed;nez et&#xa0;al., 2004</xref>); Kiara, which is a representative commercial hybrid with race-F resistance; LP2, an inbred line containing <italic>Or7</italic> alleles conferring resistance to race F, developed by the authors for research purposes from a commercial hybrid; and DEB2, which contains the <italic>Or<sub>Deb2</sub>
</italic> gene that confers resistance to race-G populations from eastern Europe and southern Spain (<xref ref-type="bibr" rid="B8">Fern&#xe1;ndez-Aparicio et&#xa0;al., 2022</xref>). In all these lines, the resistance is cumulative, i.e., the line resistant to race G is also resistant to previous races such as F and E.</p>
</sec>
<sec id="s2_3">
<title>Evaluation of virulence</title>
<p>Tests to evaluate the virulence of broomrape populations against the set of differential lines were conducted in the greenhouse in winter-spring of 2021-2022 and under open-air conditions in spring-summer of 2022, in both cases using eight 6-L pots per combination of sunflower line and broomrape population, each one containing a single plant. All the sunflower plants were inoculated artificially by adding around 30 mg of broomrape seeds to small pots (7 x 7 x 7&#xa0;cm) filled with sand and peat in a proportion of 1:1 by volume, shaking the mixture vigorously in a plastic bag. Then, previously germinated sunflower seeds were planted in the pots and maintained in a growth chamber for four weeks at 25&#xb0;C/20 &#xb0;C (day/night) and a photoperiod of 16&#xa0;h light: 8&#xa0;h dark. After this, the plants were transplanted into the 6-L pots filled with sand, silt, and peat in a proportion of 2:1:1 by volume. The evaluation was conducted by counting the number of emerged <italic>O. cumana</italic> shoots per sunflower plant at sunflower maturity.</p>
<p>Data were analyzed through ANOVA with the environment (greenhouse, open-air), sunflower line, and broomrape population as fixed factors. To compare the performance of broomrape populations on each of the sunflower differential lines, ANOVA was repeated for each of the differential lines separately and Tukey&#x2019;s <italic>post hoc</italic> test for multiple mean comparisons was computed.</p>
</sec>
<sec id="s2_4">
<title>Plant genotyping</title>
<p>Apical tissue from 12 to 40 broomrape shoots parasitizing the susceptible line B117 was collected for the populations studied and the controls. In the case of control lines SE10, CO02, CU05, and CO08, DNA was extracted from 12 plants per population in 2015. For NCU1, for which we had previous evidence of shallow intrapopulation diversity and atypical virulence, DNA was extracted from 40 individual plants. For the other populations, DNA was extracted from 24 plants per population. Apical tissue of young broomrape shoots was collected and stored at -80 &#xb0;C. The tissue of individual shoots was then freeze-dried and ground in a laboratory ball mill. DNA was extraction was done following the procedure described by <xref ref-type="bibr" rid="B31">Rogers and Bendich (1985)</xref> with the following adaptations: a) addition of 0.1% (w/v) ascorbic acid, 0.1% (w/v) diethyldithiocarbamic acid sodium salt, and 0.2% (v/v) 2-mercaptoethanol to the CTAB extraction buffer; b) CTAB buffer incubation time of 30&#xa0;min; and c) use of chloroform instead of chloroform: isoamyl alcohol 24:1. Genotyping of individual broomrape plants was conducted with 67 highly polymorphic SNP markers selected from the 192 <italic>O. cumana</italic> SNP marker set reported and mapped by <xref ref-type="bibr" rid="B3">Calder&#xf3;n-Gonz&#xe1;lez et&#xa0;al. (2019)</xref>. KASP genotyping assays were conducted at LGC Biosearch Technologies, Teddington, Middlesex, UK.</p>
</sec>
<sec id="s2_5">
<title>Genetic diversity and population structure analyses</title>
<p>Genetic diversity within each population and genetic distances between populations were analyzed using GenAlEx ver. 6.5 (<xref ref-type="bibr" rid="B24">Peakall and Smouse, 2012</xref>). The following parameters of intrapopulation diversity were calculated: the percentage of polymorphic loci (P), the observed heterozygosity (Ho), the expected (He) heterozygosity, and Shannon&#x2019;s diversity index (I). Nei&#x2019;s unbiased genetic identity between populations was also computed. Seven individuals with &gt;10% missing data were excluded from the analysis. Raw data are provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>.</p>
<p>A principal coordinates analysis (PCoA) was conducted from the matrix of GST pairwise distances to have an overview of the structure of the populations and their relatedness. Output graphics were prepared using a combined set of the population groups (race F<sub>GV</sub>, race G<sub>GV</sub>, F<sub>CU</sub>, and the populations from Cuenca under study) and, afterward, the individual populations, excluding the race G<sub>GV</sub> populations, to simplify the graph.</p>
<p>Genetic structure analysis was conducted using STRUCTURE ver. 2.3.4 using a clustering method with admixture (<xref ref-type="bibr" rid="B27">Pritchard et&#xa0;al., 2000</xref>). The analysis considered between one and ten expected populations (K) and was repeated ten times for each value of K. The number of Markov chain Monte Carlo (MCMC) iterations was set to 100,000 using a burning period of 10,000. The expected number of clusters in the data set was estimated using Structure Harvester (<xref ref-type="bibr" rid="B7">Earl and Von Holdt, 2012</xref>). Cluster membership of the individuals included in the analysis was resolved using the FullSearch algorithm of CLUMPP ver. 1.1.2b (<xref ref-type="bibr" rid="B13">Jakobsson and Rosenberg, 2007</xref>), and the output was used to produce bar graphs of the population structure using OriginPro 2022b software (OriginLab Corporation, Northampton, MA, USA). Since the results suggested the existence of two genetic groups, putative F<sub>1</sub> individuals were defined as those having a membership to each group between 49.90% and 50.10%.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Virulence of the populations</title>
<p>The analysis of variance revealed statistical significance (<italic>P</italic>&lt;0.01) of the sunflower line, the broomrape population, and all the interactions, but not of the environment (greenhouse vs open-air conditions; <italic>P</italic>=0.16). The analyses conducted on the individual sunflower differential lines showed that all broomrape populations infected severely the susceptible line B117 and the race-E resistant line NR5, which pointed out that they belong to race F or above. The main differences between the NCU populations were observed in their reactions on the differential genotypes Kiara and DEB2. Populations NC1 to NCU8 did not parasitize on Kiara or showed a very low number of emerged shoots per plant. Populations NCU9 and NCU10 showed a higher number of shoots per plant, although in the case of NCU10 the difference was not significant. The three race-G<sub>GV</sub> populations used as a control showed parasitization on Kiara. The reaction was inverse in the case of the race-G resistant line DEB2: populations NCU9 and NCU10 exhibited a complete absence of parasitization on DEB2, whereas populations NC1 to NCU8 showed some degree of parasitization on this line, which was statistically significant only for NCU1 to NCU4. Parasitization on the race-F resistant lines P96 and LP2 was null or very low in all cases (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Number of emerged broomrape shoots per plant parasitizing the sunflower differential lines B117 (no resistance), NR5 (resistance to race E, gene <italic>Or<sub>5</sub>
</italic>), Kiara (commercial hybrid resistant to race F), P96 (oligogenic resistance to race F), LP2 (resistance to race F, gene <italic>Or<sub>7</sub>
</italic>), and DEB2 (resistance to race G, gene <italic>Or<sub>Deb2</sub>
</italic>) using ten sunflower broomrape populations from Cuenca province (Central Spain) and three race-G populations from the Guadalquivir Valley in Sothern Spain, the latter used as controls<sup>a</sup>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">O. cumana</th>
<th valign="top" align="center">B117</th>
<th valign="top" align="center">NR5</th>
<th valign="top" align="center">Kiara</th>
<th valign="top" align="center">P96</th>
<th valign="top" align="center">LP2</th>
<th valign="top" align="center">DEB2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">NCU1</td>
<td valign="top" align="center">12.56 &#xb1; 5.35<sup>abc</sup>
</td>
<td valign="top" align="center">16.94 &#xb1; 5.18<sup>bcd</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">12.44 &#xb1; 5.16<sup>e</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU2</td>
<td valign="top" align="center">10.63 &#xb1; 5.73<sup>ab</sup>
</td>
<td valign="top" align="center">18.50 &#xb1; 3.93<sup>cd</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.63 &#xb1; 1.26<sup>ab</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">7.88 &#xb1; 5.97<sup>d</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU3</td>
<td valign="top" align="center">9.00 &#xb1; 4.69<sup>a</sup>
</td>
<td valign="top" align="center">15.56 &#xb1; 2.76<sup>bcd</sup>
</td>
<td valign="top" align="center">0.63 &#xb1; 2.50<sup>a</sup>
</td>
<td valign="top" align="center">0.63 &#xb1; 1.26<sup>ab</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">4.75 &#xb1; 4.23<sup>bc</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU4</td>
<td valign="top" align="center">9.44 &#xb1; 4.82<sup>a</sup>
</td>
<td valign="top" align="center">16.75 &#xb1; 3.17<sup>bcd</sup>
</td>
<td valign="top" align="center">0.06 &#xb1; 0.25<sup>a</sup>
</td>
<td valign="top" align="center">1.06 &#xb1; 1.06<sup>ab</sup>
</td>
<td valign="top" align="center">0.19 &#xb1; 0.40<sup>a</sup>
</td>
<td valign="top" align="center">5.94 &#xb1; 3.97<sup>cd</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU5</td>
<td valign="top" align="center">9.13 &#xb1; 5.33<sup>a</sup>
</td>
<td valign="top" align="center">6.75 &#xb1; 2.67<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">1.00 &#xb1; 1.51<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU6</td>
<td valign="top" align="center">13.69 &#xb1; 5.13<sup>abc</sup>
</td>
<td valign="top" align="center">13.75 &#xb1; 5.63<sup>bcd</sup>
</td>
<td valign="top" align="center">0.06 &#xb1; 0.25<sup>a</sup>
</td>
<td valign="top" align="center">0.13 &#xb1; 0.34<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">2.50 &#xb1; 1.90<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU7</td>
<td valign="top" align="center">13.19 &#xb1; 5.59<sup>abc</sup>
</td>
<td valign="top" align="center">13.31 &#xb1; 3.93<sup>b</sup>
</td>
<td valign="top" align="center">0.13 &#xb1; 0.34<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.13 &#xb1; 0.50<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU8</td>
<td valign="top" align="center">13.81 &#xb1; 5.18<sup>abc</sup>
</td>
<td valign="top" align="center">19.19 &#xb1; 5.46<sup>d</sup>
</td>
<td valign="top" align="center">0.06 &#xb1; 0.25<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">1.50 &#xb1; 1.86<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU9</td>
<td valign="top" align="center">17.88 &#xb1; 6.18<sup>c</sup>
</td>
<td valign="top" align="center">14.88 &#xb1; 7.78<sup>bcd</sup>
</td>
<td valign="top" align="center">7.75 &#xb1; 4.89<sup>b</sup>
</td>
<td valign="top" align="center">0.31 &#xb1; 0.48<sup>ab</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NCU10</td>
<td valign="top" align="center">16.69 &#xb1; 4.78<sup>bc</sup>
</td>
<td valign="top" align="center">16.81 &#xb1; 6.44<sup>bcd</sup>
</td>
<td valign="top" align="center">2.06 &#xb1; 1.81<sup>a</sup>
</td>
<td valign="top" align="center">0.88 &#xb1; 1.96<sup>ab</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NGV1</td>
<td valign="top" align="center">17.19 &#xb1; 6.86<sup>c</sup>
</td>
<td valign="top" align="center">17.94 &#xb1; 5.94<sup>cd</sup>
</td>
<td valign="top" align="center">8.75 &#xb1; 6.18<sup>b</sup>
</td>
<td valign="top" align="center">0.31 &#xb1; 0.60<sup>ab</sup>
</td>
<td valign="top" align="center">1.19 &#xb1; 1.22<sup>b</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NGV2</td>
<td valign="top" align="center">12.06 &#xb1; 4.27<sup>abc</sup>
</td>
<td valign="top" align="center">14.75 &#xb1; 4.64<sup>bcd</sup>
</td>
<td valign="top" align="center">9.50 &#xb1; 3.74<sup>bc</sup>
</td>
<td valign="top" align="center">1.31 &#xb1; 1.49<sup>b</sup>
</td>
<td valign="top" align="center">2.56 &#xb1; 2.31<sup>c</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">NGV3</td>
<td valign="top" align="center">14.44 &#xb1; 5.53<sup>abc</sup>
</td>
<td valign="top" align="center">12.06 &#xb1; 3.17<sup>ab</sup>
</td>
<td valign="top" align="center">12.31 &#xb1; 6.72<sup>c</sup>
</td>
<td valign="top" align="center">0.63 &#xb1; 0.96<sup>ab</sup>
</td>
<td valign="top" align="center">0.63 &#xb1; 0.72<sup>ab</sup>
</td>
<td valign="top" align="center">0.00 &#xb1; 0.00<sup>a</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup> Values followed by the same letter within each column are not significantly different at P&lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Population&#x2019;s genetic diversity, structure, and relatedness</title>
<p>In contrast with the race-F<sub>CU</sub> gene pool (populations CU05 and CU08), with null intrapopulation diversity, some of the new populations from Cuenca exhibited large intrapopulation genetic diversity. Thus, Shannon&#x2019;s diversity index (I) was particularly high for populations NCU2 (I=0.59), NCU7 (I=0.44), NCU8 (I=0.41), NCU4 (I=0.29), and NCU6 (I=0.24). These values were like those found in the race-G populations from the Guadalquivir Valley, with I=0.31 to 0.45 (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Three new populations from Cuenca (NCU1, NCU3, NCU10) showed null genetic diversity, whereas two populations, NCU5 and NCU9, had intermediate values of I=0.06 and 0.11, respectively (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Intrapopulation diversity parameters for populations NCU1 to NCU10 from Cuenca, and control populations SE10, CO02 (race F from the Guadalquivir Valley), CU05, CU08 (race F from Cuenca), and NGV1 to NGV3 (race G from the Guadalquivir Valley): percentage of polymorphic loci (P), observed heterozygosity (Ho), expected heterozygosity (He), and Shannon&#x2019;s diversity index (I).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Population</th>
<th valign="top" align="center">P</th>
<th valign="top" align="center">H<sub>0</sub> ( &#xb1; SE)</th>
<th valign="top" align="center">He ( &#xb1; SE)</th>
<th valign="top" align="center">I ( &#xb1; SE)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">NCU1</td>
<td valign="bottom" align="center">1,49</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">NCU2</td>
<td valign="bottom" align="center">85,07</td>
<td valign="top" align="center">0.08 &#xb1; 0.00</td>
<td valign="top" align="center">0.42 &#xb1; 0.02</td>
<td valign="top" align="center">0.59 &#xb1; 0.03</td>
</tr>
<tr>
<td valign="top" align="left">NCU3</td>
<td valign="bottom" align="center">1,49</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">NCU4</td>
<td valign="bottom" align="center">85,07</td>
<td valign="top" align="center">0.04 &#xb1; 0.00</td>
<td valign="top" align="center">0.17 &#xb1; 0.01</td>
<td valign="top" align="center">0.29 &#xb1; 0.02</td>
</tr>
<tr>
<td valign="top" align="left">NCU5</td>
<td valign="bottom" align="center">46,27</td>
<td valign="top" align="center">0.02 &#xb1; 0.00</td>
<td valign="top" align="center">0.03 &#xb1; 0.00</td>
<td valign="top" align="center">0.06 &#xb1; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">NCU6</td>
<td valign="bottom" align="center">85,07</td>
<td valign="top" align="center">0.01 &#xb1; 0.01</td>
<td valign="top" align="center">0.13 &#xb1; 0.01</td>
<td valign="top" align="center">0.24 &#xb1; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">NCU7</td>
<td valign="bottom" align="center">85,07</td>
<td valign="top" align="center">0.01 &#xb1; 0.00</td>
<td valign="top" align="center">0.28 &#xb1; 0.02</td>
<td valign="top" align="center">0.44 &#xb1; 0.02</td>
</tr>
<tr>
<td valign="top" align="left">NCU8</td>
<td valign="bottom" align="center">85,07</td>
<td valign="top" align="center">0.19 &#xb1; 0.01</td>
<td valign="top" align="center">0.26 &#xb1; 0.02</td>
<td valign="top" align="center">0.41 &#xb1; 0.02</td>
</tr>
<tr>
<td valign="top" align="left">NCU9</td>
<td valign="bottom" align="center">67,16</td>
<td valign="top" align="center">0.05 &#xb1; 0.01</td>
<td valign="top" align="center">0.05 &#xb1; 0.01</td>
<td valign="top" align="center">0.11 &#xb1; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">NCU10</td>
<td valign="bottom" align="center">0,00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">SE10</td>
<td valign="bottom" align="center">2,99</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.01 &#xb1; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">CO02</td>
<td valign="bottom" align="center">0,00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">CU05</td>
<td valign="bottom" align="center">0,00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">CU08</td>
<td valign="bottom" align="center">0,00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
<td valign="top" align="center">0.00 &#xb1; 0.00</td>
</tr>
<tr>
<td valign="top" align="left">NGV1</td>
<td valign="bottom" align="center">76,12</td>
<td valign="top" align="center">0.09 &#xb1; 0.01</td>
<td valign="top" align="center">0.31 &#xb1; 0.02</td>
<td valign="top" align="center">0.45 &#xb1; 0.03</td>
</tr>
<tr>
<td valign="top" align="left">NGV2</td>
<td valign="bottom" align="center">83,58</td>
<td valign="top" align="center">0.04&#xb1; 0.01</td>
<td valign="top" align="center">0.19 &#xb1; 0.02</td>
<td valign="top" align="center">0.31 &#xb1; 0.03</td>
</tr>
<tr>
<td valign="top" align="left">NGV3</td>
<td valign="bottom" align="center">83,58</td>
<td valign="top" align="center">0.12 &#xb1; 0.01</td>
<td valign="top" align="center">0.23 &#xb1; 0.02</td>
<td valign="top" align="center">0.35 &#xb1; 0.03</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Nei&#x2019;s unbiased genetic identity analysis revealed that nine out of the ten new populations of Cuenca were coincident or very close (identity &gt;0.95) to either the classical gene pool F<sub>CU</sub>, represented by populations CU05 and CU08, or the classical gene pool F<sub>GV</sub>, represented by populations SE10 and CO02. Thus, populations NCU1, NCU3, NCU4, and NCU8 were very close to the F<sub>CU</sub> gene pool, whereas populations NCU5, NCU6, NCU7, NCU9, and NCU10 were very close to the F<sub>GV</sub> gene pool (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Only population NCU2 showed identity values lower than 0.95 with both gene pools, 0.74 with F<sub>GV,</sub> and 0.79 with F<sub>CU</sub>.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Nei&#x2019;s unbiased genetic identity values between the new sunflower broomrape populations from Cuenca and between them and the control populations SE10, CO02 (race F from the Guadalquivir Valley), CU05, CU08 (race F from Cuenca), and NGV1 to NGV3 (race G from the Guadalquivir Valley).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">NCU1</th>
<th valign="top" align="center">NCU2</th>
<th valign="top" align="center">NCU3</th>
<th valign="top" align="center">NCU4</th>
<th valign="top" align="center">NCU5</th>
<th valign="top" align="center">NCU6</th>
<th valign="top" align="center">NCU7</th>
<th valign="top" align="center">NCU8</th>
<th valign="top" align="center">NCU9</th>
<th valign="top" align="center">NCU10</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">NCU2</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">NCU3</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">NCU4</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">NCU5</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">&gt;0.28</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">NCU6</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">NCU7</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">NCU8</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">NCU9</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">NCU10</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">SE10</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="center">CO02</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="center">CU05</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="center">CU08</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="center">NGV1</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="center">NGV2</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="center">NGV3</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.90</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>To better understand how the new populations from Cuenca relate to the two classical gene pools in Spain and to the new populations with race G<sub>GV</sub> virulence, the results of the PcoA were used to represent the four groups of populations (races F<sub>GV</sub>, G<sub>GV</sub>, F<sub>CU</sub>, and new populations from Cuenca). The first principal coordinate accounted for 82.36% of the total variation, whereas the second included 3.19%. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> shows the biplot of both coordinates. The individuals from the new populations of Cuenca that did not fall in the two traditional gene pools of race F were mainly distributed between both gene pools, with some individuals overlapping with the new populations of the Guadalquivir Valley.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Principal coordinates analysis of the groups of populations from the gene pools of race F of the Guadalquivir Valley (GV-F) and Cuenca (CU-F) and the new populations of both areas (NGV and NCU, respectively). The percentage of variation explained by each principal coordinate is indicated in the axis titles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1236511-g001.tif"/>
</fig>
<p>Structure analysis was conducted to confirm these results and accurately determine the percentage of the membership of the individuals of the new populations from Cuenca to the classical Spanish gene pools of sunflower broomrape. As expected, the study identified the existence of two genetic groups in the set of populations (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The analysis of the percentage of membership to each group enabled to distinguish the individuals with full membership in one of the gene pools (&gt;99%), and even to identify F1 individuals (membership to both groups between 49.90% and 50.10%). Thus, this analysis revealed that all the individuals of populations NCU1 and NCU3 had full membership in the gene pool of Cuenca (Group 1). In contrast, all the individuals of population NCU10 had full membership in the gene pool of the Guadalquivir Valley (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Coincident with Nei&#x2019;s unbiased genetic identity analysis results, populations NCU4 and NCU8 were closer to the Cuenca gene pool, and populations NCU5, NCU6, NCU7, and NCU9 were closer to the Guadalquivir Valley gene pool. Populations NCU2, NCU4, and NCU8 contained putative F<sub>1</sub> plants, whereas populations NCU5, NCU6, NCU7, NCU8, and NCU9 contained individuals with intermediate membership to the two groups. The PcoA distribution of the populations that did not have full identity with one of the Spanish gene pools, i.e., NCU2 and NCU4 to NCU9, together with the populations of the two original gene pools, is shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Delta K for values of K in Admixture analysis of genetic structure in a set of populations of sunflower broomrape from Spain.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1236511-g002.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Results of the genetic structure analysis, indicating the membership to group 1 (G1) and G2, the number of individuals with more than 99% of the membership in G1 and G2, the number of putative F1 individuals (percentage of membership to each group between 49.90% and 50.10%), and rest of individuals with intermediate membership values.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Population</th>
<th valign="top" align="center">Mean G1 (%)</th>
<th valign="top" align="center">Mean G2 (%)</th>
<th valign="top" align="center">G1 (&gt;99%)</th>
<th valign="top" align="center">G2 (&gt;99%)</th>
<th valign="top" align="center">F<sub>1</sub> (50%)</th>
<th valign="top" align="center">Other</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">NCU1</td>
<td valign="top" align="center">99.88</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">NCU2</td>
<td valign="top" align="center">52.37</td>
<td valign="top" align="center">47.63</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">NCU3</td>
<td valign="top" align="center">99.87</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">NCU4</td>
<td valign="top" align="center">93.09</td>
<td valign="top" align="center">6.91</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">NCU5</td>
<td valign="top" align="center">1.54</td>
<td valign="top" align="center">98.46</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">NCU6</td>
<td valign="top" align="center">8.35</td>
<td valign="top" align="center">91.65</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">NCU7</td>
<td valign="top" align="center">21.28</td>
<td valign="top" align="center">78.73</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">NCU8</td>
<td valign="top" align="center">79.80</td>
<td valign="top" align="center">20.20</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">11</td>
</tr>
<tr>
<td valign="top" align="left">NCU9</td>
<td valign="top" align="center">3.16</td>
<td valign="top" align="center">96.84</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">NCU10</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">99.90</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">SE10</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">99.78</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">CO02</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">99.90</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">CU05</td>
<td valign="top" align="center">99.90</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">CU08</td>
<td valign="top" align="center">99.90</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">NGV1</td>
<td valign="top" align="center">32.57</td>
<td valign="top" align="center">67.43</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">NGV2</td>
<td valign="top" align="center">16.54</td>
<td valign="top" align="center">83.46</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">NGV3</td>
<td valign="top" align="center">20.59</td>
<td valign="top" align="center">79.41</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">24</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Principal coordinates analysis of the groups of populations from the gene pools of race F of the Guadalquivir Valley (GV-F) and Cuenca (CU-F) and the new populations of Cuenca (NCU), excepting those with null intrapopulation diversity (NCU-1 and NCU-3) that fully belong to the CU-F gene pool. F<sub>1</sub> indicates putatively hybrid individuals, i.e., those with a percentage of membership to both groups between 49.90% and 50.10% based on population genetic structure analysis. The percentage of variation explained by each principal coordinate is indicated in the axis titles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1236511-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Two gene pools of sunflower broomrape have been traditionally present in Spain, one in the Guadalquivir area of southern Spain and another in the Cuenca province in central Spain. The two gene pools are genetically distant and have shallow intrapopulation genetic diversity caused by a founder effect (<xref ref-type="bibr" rid="B26">Pineda-Martos et&#xa0;al., 2013</xref>). In that study, the introduction of populations from the Guadalquivir Valley into Cuenca and vice versa was detected for the first time. This fact has explained the appearance of a new race G in the Guadalquivir Valley, putatively caused by the genetic recombination of avirulence loci of both gene pools (<xref ref-type="bibr" rid="B19">Mart&#xed;n-Sanz et&#xa0;al., 2016</xref>). After detecting a new virulence of sunflower broomrape in Cuenca province, we investigated whether genetic recombination of avirulence genes could also be at the bottom of this new virulence. Notably, the new virulence observed in Cuenca is mainly characterized by the parasitization of the DEB2 sunflower line, which is resistant to all race-G populations evaluated so far (<xref ref-type="bibr" rid="B19">Mart&#xed;n-Sanz et&#xa0;al., 2016</xref>). Based on the results of the present study, the hypothesis of the genetic recombination of avirulence genes present must be discarded as the cause of DEB2 parasitization since the population with the highest degree of attack on DEB2, NCU1, showed full membership to the Cuenca gene pool, with no mixture with any external population. Accordingly, under no evidence of genetic recombination associated with the change in virulence, it can be hypothesized that a point mutation may have caused the virulence change in the Cuenca gene pool. A point mutation was also hypothesized as the genetic mechanism underlying the change from race E to race F virulence in the Guadalquivir Valley since the increased virulence was associated with dominant alleles at a single avirulence locus (<xref ref-type="bibr" rid="B30">Rodr&#xed;guez-Ojeda et&#xa0;al., 2013</xref>) and no changes in population structure and diversity were observed between race-E and race-F populations (<xref ref-type="bibr" rid="B26">Pineda-Martos et&#xa0;al., 2013</xref>).</p>
<p>Although genetic recombination seems not to be the cause for DEB2 parasitization, the results of this study showed that genetic recombination between local populations and populations introduced from the Guadalquivir Valley is occurring in Cuenca nowadays. This is more clearly seen in populations NCU2, NCU4, and NCU8, where F<sub>1</sub> individuals between the Cuenca gene pool plants and the Guadalquivir Valley gene pool have been identified. The case of NCU2 population deserves additional discussion. From 21 individuals analysed, 10 belonged to the Cuenca gene pool, 9 belonged to the Guadalquivir Valley gene pool, and two plants were F<sub>1</sub>. This suggests that the introduction of plants from the Guadalquivir Valley into this population has been very recent, and genetic recombination is at the earliest stage. The case of population NCU10, where all the individuals belong to the Guadalquivir Valley gene pool, suggests that broomrape is being introduced from the Guadalquivir Valley even in areas where populations of the Cuenca gene pool were not present. Broomrape seeds are mainly dispersed through agricultural machinery and tools and together with the host seeds (<xref ref-type="bibr" rid="B11">Habimana et&#xa0;al., 2014</xref>). Although how and when the broomrape seeds of the Guadalquivir Valley gene pool have reached Cuenca province cannot be ascertained, it is important to note that populations of this gene pool have been also found in distant places such as northern Spain (<xref ref-type="bibr" rid="B18">Malek et&#xa0;al., 2017</xref>) and Morocco (<xref ref-type="bibr" rid="B22">Nabloussi et&#xa0;al., 2023</xref>).</p>
<p>This is the first time that complex sunflower broomrape populations have been characterized in detail. Their individuals could be unequivocally classified according to the gene pool of provenance, including identifying F<sub>1</sub> hybrid plants. This opens the possibility of extending the methodology used in this study to other areas, assuming that identifying the original gene pools is still possible. What we could not separate in the present study were the individuals of the Cuenca gene pool with classical race-F virulence, not attacking DEB2 sunflower population, from those with increased virulence that parasitize on DEB2. Assuming the point mutation hypothesis exposed above, separating both groups would require the availability of markers closely linked to the avirulence locus, which are not currently available.</p>
<p>The nomenclature for sunflower broomrape races has been traditionally based on the use of letters, with A indicating the initial population attacking sunflowers in Russia at the end of the nineteenth century, B the population that overcame resistance to race A, and so on (<xref ref-type="bibr" rid="B4">Cveji&#x107; et&#xa0;al., 2020</xref>). This led to using the same letter to designate the virulence of populations in different geographic areas with different virulence profiles, which caused great confusion. For that reason, <xref ref-type="bibr" rid="B19">Mart&#xed;n-Sanz et&#xa0;al. (2016)</xref> proposed adding a subscript indicating the geographical area of the population. In this case, considering that the most virulent race in the area so far was race F, the new populations attacking DEB2 sunflower line should be named race G. However, it must be considered that race G is being used in other areas to designate populations that overcome the resistance of race-F-resistant hybrids (<xref ref-type="bibr" rid="B32">&#x160;kori&#x107; et&#xa0;al., 2021</xref>), which is the case of population NCU9 but not the other populations. Consistent with this nomenclature, we propose to designate race G<sub>CU</sub> only to the populations that show a number of shoots significantly higher than zero on Kiara, and race F<sup>+</sup>
<sub>CU</sub> to the populations that show a number of shoots significantly higher than zero on DEB2 but not on Kiara. Any other population parasitizing on NR5 but not parasitizing significantly on Kiara or DEB2 should be considered race F<sub>CU</sub>. Accordingly, NCU5, NCU7, NCU8, and NCU10 are currently race F<sub>CU</sub>, NCU1 to NCU4 and NCU6 are race F<sup>+</sup>
<sub>CU</sub>, and population NCU9 is race G<sub>CU</sub>. This is the current situation, although some populations already show a low, non-significant number of shoots on Kiara and/or DEB2 and probably will evolve soon to higher levels of virulence. Thus, it cannot be discarded that some populations, such as NCU3, become virulent on race-F resistant hybrids in addition to their virulence on DEB2. In that case, we propose that they are classified as (F<sup>+</sup>G)<sub>CU</sub>. Concerning race G<sub>CU</sub> (population NCU9), it can be argued that it was probably introduced from the Guadalquivir Valley and could be considered a race G<sub>GV</sub>. However, with the information available, we cannot discard that this population might have evolved locally in a similar way as populations G<sub>GV</sub> evolved in the Guadalquivir Valley, as hybridization between both gene pools in Cuenca has been documented in the present research as it was documented previously in the Guadalquivir Valley (<xref ref-type="bibr" rid="B26">Pineda-Martos et&#xa0;al., 2013</xref>).</p>
<p>It is generally accepted that resistance to broomrape in sunflower is cumulative, i.e., resistance to a new race also provides resistance to the previous ones (<xref ref-type="bibr" rid="B10">Fern&#xe1;ndez-Mart&#xed;nez et&#xa0;al., 2015</xref>). In this study, we show that sunflower germplasm can be resistant to one race but not to another one, e.g., DEB2 is resistant to G<sub>CU</sub> but not to F+<sub>CU</sub>, whereas Kiara shows the opposite response. This observation emphasizes the need for a detailed characterization of the existing races of sunflower broomrape and the genetic structure of the populations to have a better picture of how the populations are evolving and the mechanisms driving race evolution. Also, our results highlight the importance of pyramiding resistance genes as a strategy to develop durable resistance to sunflower broomrape. Pyramiding strategies should include genes with a major effect, such as <italic>Or<sub>7</sub>
</italic> (<xref ref-type="bibr" rid="B6">Duriez et&#xa0;al., 2019</xref>) and <italic>Or<sub>Deb2</sub>
</italic> (<xref ref-type="bibr" rid="B8">Fern&#xe1;ndez-Aparicio et&#xa0;al., 2022</xref>), but also genes determining partial or posthaustorial resistance (<xref ref-type="bibr" rid="B20">Mart&#xed;n-Sanz et&#xa0;al., 2020</xref>), or even genes involved in polygenic resistance (<xref ref-type="bibr" rid="B25">P&#xe9;rez-Vich et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B17">Louarn et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B12">Imerovski et&#xa0;al., 2019</xref>).</p>
<p>The race evolution of sunflower broomrape is primarily driven by mutations, consistent with the gene-for-gene host-parasite interaction between this parasite and the sunflower crop (<xref ref-type="bibr" rid="B30">Rodr&#xed;guez-Ojeda et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B32">&#x160;kori&#x107; et&#xa0;al., 2021</xref>). Genetic recombination between avirulence loci has also been proposed as an additional mechanism for race evolution in this species (<xref ref-type="bibr" rid="B19">Mart&#xed;n-Sanz et&#xa0;al., 2016</xref>). In our present research, we identified sunflower broomrape populations in which both genetic mechanisms have modulated virulence. These findings provide valuable insights into the mechanisms of race evolution in sunflower broomrape and can aid in developing effective control strategies.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>LV, AM-S, and BP-V conceived the work and planned and supervised the research. LV and AM-S collected the broomrape populations and evaluated virulence. BF-M, LM, and BP-V carried out plant genotyping. BF-M, BP-V, and LV performed data analyses. BF-M and LV wrote the draft of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The authors declare financial support was received for the research, authorship, and/or publication of this article. The study was funded by research project PID2020-117286RB-I00 of the Spanish Ministry of Science and Innovation (co-funded with EU FEDER Funds). This was also supported by a grant to BF-M PRE2018-084486 funded by MCIN/AEI/10.13039/501100011033 and European Union ESF &#x201c;ESF investing in your future&#x201d; and by Junta de Andaluc&#xed;a (Spain), Qualifica Project QUAL21_023 IAS.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Pl&#xe1;cida Nieto and Alberto Merino (CSIC) for technical support and Pablo Hern&#xe1;ndez and Javier Mu&#xf1;oz (Syngenta) for the broomrape collection.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Author AM-S was employed by company Syngenta Espa&#xf1;a S.A..</p>
<p>The remaining 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.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2023.1236511/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2023.1236511/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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