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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.2023.1252123</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>Mapping of prehaustorial resistance against wheat leaf rust in einkorn (<italic>Triticum monococcum</italic>), a progenitor of wheat</article-title>
</title-group>
<contrib-group>
  <contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Deblieck</surname>
<given-names>Mathieu</given-names>
</name>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/575964"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ordon</surname>
<given-names>Frank</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1021055"/>
</contrib>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Serfling</surname>
<given-names>Albrecht</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/347902"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Institute for Resistance Research and Stress Tolerance, Julius K&#xfc;hn-Institute (JKI), Federal Research Centre for Cultivated Plants</institution>, <addr-line>Quedlinburg</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Rodomiro Ortiz, Swedish University of Agricultural Sciences, Sweden</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Zhengqiang Ma, Nanjing Agricultural University, China; Javier S&#xe1;nchez-Mart&#xed;n, University of Zurich, Switzerland</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Albrecht Serfling, <email xlink:href="mailto:albrecht.serfling@julius-kuehn.de">albrecht.serfling@julius-kuehn.de</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1252123</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>07</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 Deblieck, Ordon and Serfling</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Deblieck, Ordon and Serfling</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>
<p>Wheat leaf rust (<italic>Puccinia triticina</italic>) is one of the most significant fungal diseases of wheat, causing substantial yield losses worldwide. Infestation is currently being reduced by fungicide treatments and mostly vertical resistance. However, these measures often break down when the fungal virulence pattern changes, resulting in a breakdown of vertical resistances. In contrast, the prehaustorial resistance (phr) that occurs in the einkorn&#x2013;wheat leaf rust interaction is race-independent, characterized by an early defense response of plants during the prehaustorial phase of infestation. Einkorn (<italic>Triticum monococcum</italic>) is closely related to <italic>Triticum urartu</italic> as a progenitor of wheat and generally shows a high level of resistance against leaf rust of wheat. Hence, einkorn can serve as a valuable source to improve the level of resistance to the pathogen in future wheat lines. In particular, einkorn accession PI272560 is known to exhibit a hypersensitive prehaustorial effector triggered immune reaction, preventing the infection of <italic>P. triticina</italic>. Remarkably, this effector-triggered immune reaction turned out to be atypical as it is non-race-specific (horizontal). To genetically dissect the prehaustorial resistance (phr) in PI272560, a biparental F<sub>2</sub> population of 182 plants was established after crossing PI272560 with the susceptible <italic>T. boeoticum</italic> accession 36554. Three genetic maps comprising 2,465 DArT-seq markers were constructed, and a major QTL was detected on chromosome 5A. To locate underlying candidate genes, marker sequences flanking the respective QTL were aligned to the <italic>T. urartu</italic> reference genome and transcriptome data available from the parental accessions were used. Within the QTL interval of approximately 16.13 million base pairs, the expression of genes under inoculated and non-inoculated conditions was analyzed via a massive analysis of cDNA (MACE). Remarkably, a single gene located 3.4 Mbp from the peak marker within the major QTL was upregulated (20- to 95-fold) after the inoculation in the resistant accession in comparison to the susceptible <italic>T. boeoticum</italic> accession. This gene belongs to a berberine bridge enzyme-like protein that is suspected to interact on the plant surface with glycoside hydrolases (GH) secreted by the fungus and to induce a hypersensitive defense reaction in the plant after fungal infections.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Triticum monococcum</italic>
</kwd>
<kwd>leaf rust</kwd>
<kwd>hypersensitive response</kwd>
<kwd>grain yield</kwd>
<kwd>quantitative resistance</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="6"/>
<equation-count count="2"/>
<ref-count count="62"/>
<page-count count="14"/>
<word-count count="7862"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Breeding</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Wheat leaf rust (<italic>Puccinia triticina</italic>) belongs to the economically most important obligate biotrophic pathogens of wheat (<xref ref-type="bibr" rid="B8">Bolton et&#xa0;al., 2008a</xref>; <xref ref-type="bibr" rid="B7">Bolton et&#xa0;al., 2008b</xref>; <xref ref-type="bibr" rid="B32">Kolmer, 2013</xref>). It is the causative agent of leaf rust, the most common rust of wheat worldwide reducing number of grains and thousand-grain weight, resulting in yield losses of up to 60% (<xref ref-type="bibr" rid="B4">Bancal et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B7">Bolton et&#xa0;al., 2008b</xref>; <xref ref-type="bibr" rid="B32">Kolmer, 2013</xref>). Uredinia, the typical leaf rust fruiting bodies formed during the asexual life cycle, occur on the upper surface and bottom side of leaves on susceptible wheat cultivars with a diameter of up to 1.5&#xa0;mm (<xref ref-type="bibr" rid="B31">Kolmer, 2005</xref>; <xref ref-type="bibr" rid="B32">Kolmer, 2013</xref>). These uredinia harbor dikaryotic uredospores of approximately 20 &#xb5;m. When the leaf epidermis ruptures, the orange-yellow uredospores are spread by the wind to infect new host plants under favorable conditions (i.e., 10&#xb0;C to 20&#xb0;C and high humidity) (<xref ref-type="bibr" rid="B8">Bolton et&#xa0;al., 2008a</xref>).</p>
<p>At the beginning of a successful penetration process, uredospores germinate 4 to 8 hours after inoculation (hai) and form a germ tube and an appressorium over stomata cells (<xref ref-type="bibr" rid="B8">Bolton et&#xa0;al., 2008a</xref>). Within 12&#x2013;24 h after the formation of the anppressorium, an infection vesicle is generated, and infection hyphae grow between parenchymal cells and form haustorial mother cells (hmc) on the cell walls of mesophyll cells (<xref ref-type="bibr" rid="B7">Bolton et&#xa0;al., 2008b</xref>). Next, 24&#xa0;h after the formation of an appressoria, haustoria start to develop (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>). They penetrate the host cells and generate an extrahaustorial membrane (<xref ref-type="bibr" rid="B7">Bolton et&#xa0;al., 2008b</xref>).</p>
<p>Race-specific resistance is known to be effective &#x201c;posthaustorial&#x201d;, thus after the formation of haustorial mother cells (<xref ref-type="bibr" rid="B41">Niks, 1988</xref>; <xref ref-type="bibr" rid="B42">Niks, 1991</xref>). Hypersensitive cell death is triggered by a gene-for-gene recognition of effectors (<xref ref-type="bibr" rid="B24">Ji et&#xa0;al., 2022</xref>, <xref ref-type="bibr" rid="B34">Kumar et&#xa0;al., 2021</xref>) and is contrary to adult plant resistance (APR) already active at the seedling stage. Moreover, race-specific resistance is vulnerable to breakdown by virulent races, which occurs after a mutation of an elicitor or the interacting resistance gene in the host. More than 100 leaf rust resistance genes (<italic>Lr-</italic>genes) have been described; however, only a few are carried by cultivars due to linkage drag and undesired agronomic properties (<xref ref-type="bibr" rid="B38">Mapuranga et&#xa0;al., 2022</xref>). The lifespan of such vertical/qualitative resistance carried by cultivars was calculated by <xref ref-type="bibr" rid="B38">Mapuranga et&#xa0;al. (2022)</xref> at 3 to 5 years. Hence, a horizontal/race-independent resistance that has the character of nonhost resistance to leaf rust as a host-specific pathogen could be more durable. This nonhost&#x2013;pathogen interaction was exemplarily described for barley&#x2014;<italic>P. triticina</italic> (<xref ref-type="bibr" rid="B23">Jafary et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B18">Haghdoust et&#xa0;al., 2021</xref>) and wheat&#x2014;<italic>Blumeria hordei</italic>, <italic>P. hordei</italic>, and <italic>Magnaporthe oryzae</italic> (<xref ref-type="bibr" rid="B12">Delventhal et&#xa0;al., 2017</xref>). Nonhost interactions result in prehaustorial resistance (phr) and have also been observed in <italic>T. monococcum&#x2013;P. triticina</italic> interactions (<xref ref-type="bibr" rid="B51">Serfling et al. 2016</xref>; <xref ref-type="bibr" rid="B3">Anker et al. 2001</xref>; <xref ref-type="bibr" rid="B2">Anker and Niks, 2001</xref>). Various studies have shown a different expression of pathogenesis-related (PR-) genes, peroxidases, chitinases, peroxidases, and beta 1,3 glucanase within the first 24 hai. However, the inheritance of nonhost resistance of <italic>T. monococcum</italic> to <italic>P. triticina</italic> has not yet been genetically analyzed.</p>
<p>
<italic>Triticum monococcum</italic> accession PI272560 (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>) shows complete and nonhost resistance to six investigated leaf rust (<xref ref-type="supplementary-material" rid="SM1">
<bold>Tables S1A, B</bold>
</xref>) races (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>) and one leaf rust race tested by <xref ref-type="bibr" rid="B42">Niks (1991)</xref>. This resistance was previously identified as a phr in which leaf rust develops few or no haustorial mother cells after infection because their formation is prevented by an effective defense reaction of the plant (<xref ref-type="bibr" rid="B3">Anker et&#xa0;al., 2001</xref>). <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al. (2016)</xref> indicate an increased level of phenolic substances, peroxidase, and chitinase activity at the site of infection and pathogenesis-related genes in the first 24 hai in comparison to the partially susceptible <italic>T. boeoticum</italic> accession (36554). These results demonstrate transcriptome alterations and resistance mechanisms in the background of phr in PI272560. However, the genetic background and the inheritance of this resistance were not elucidated up to now. Therefore, this study aims to identify the genomic regions and candidate genes involved in the phr of <italic>T. monococcum</italic> based on microscopic analysis of fungal development, the defense reaction, and visual rating in a biparental F<sub>2</sub> mapping population derived from <italic>T. monococcum</italic> accession PI272560 and T. boeoticum accession 36554. These investigations are complemented by data from transcriptome analysis by massive analysis of cDNA ends (MACE) of the parental accessions to be mapped into QTL regions.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Plant material</title>
<p>The <italic>T. monococcum</italic> accession PI272560 (<italic>T</italic>. <italic>monococcum</italic> var. <italic>monococcum</italic> variety &#x201c;Ungarn white&#x201d;) (<xref ref-type="bibr" rid="B3">Anker et&#xa0;al., 2001</xref>) and the partially susceptible accession 36554 (<italic>T. boeoticum</italic> spp. <italic>thaoudar</italic> var. <italic>reuteri</italic>, variety &#x201c;Angora&#x201d;) (<xref ref-type="bibr" rid="B3">Anker et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>) were obtained from the gene bank of the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK, Gatersleben, Germany) and the National Plant Germplasm System (NPGS) of the United States Department of Agriculture (Aberdeen, ID, USA). Einkorn accession 36554 has previously been identified as one of the most susceptible to wheat leaf rust by <xref ref-type="bibr" rid="B35">Lind (2005)</xref>. After crossing, the resulting F<sub>2</sub> seeds were germinated on moist filter paper in petri dishes and transferred to pots with a size of 11&#xa0;cm &#xd7; 11&#xa0;cm (height and width), filled with soil (Archut-Fruhstorfer Erde, HAWITA, Oldenburg Germany). Cultivation was conducted at 80% &#xb1; 10% humidity, at 20&#xb0;C &#xb1; 2&#xb0;C, and at a light intensity higher than 300 &#xb1; 15 &#x3bc;mol under daylight conditions (16&#xa0;h). The resistant accession PI272560 was used as a pollinator. Successful crossing was confirmed in F<sub>2</sub> generation by phenotyping and genotyping of seedlings.</p>
</sec>
<sec id="s2_2">
<title>Leaf rust isolates, inoculation, microscopy, and phenotyping by visual rating</title>
<p>Ten-day-old 182 F<sub>2</sub> plants were inoculated in a settling tower according to <xref ref-type="bibr" rid="B19">Hoogkamp et&#xa0;al. (1998)</xref>. For that purpose, 3 mg of uredospores from single-spore isolate wxr77 was applied together with 2 mg of dry powdered clay to the parental accessions. This isolate originated from a collection of <xref ref-type="bibr" rid="B43">Nover and Lehmann (1967)</xref> (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>). Isolate wxr77 was also used for the inoculation of F<sub>2</sub> progenies. Uredospores were multiplicated on leaves of the wheat variety Borenos. Then, 72 hai, fungal structures were stained with Calcofluor White M2R (Sigma Aldrich Chemie GmbH. Taufkirchen, Germany) as described by <xref ref-type="bibr" rid="B48">Rohringer (1977)</xref>. Pictures were taken using an Axioskop 50 microscope and an Axiocam MRc camera connected to the software package Axiovision 4 (Carl Zeiss AG, Jena, Germany), using the filter set 02 (excitation filter G 365, beam splitter FT 395, and barrier filter LP 420). Autofluorescence of plant tissue was recorded using the filter set 05 (excitation filter BP 400-440, beam splitter FT 460, barrier filter LP 470) according to <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al. (2016)</xref>.</p>
<p>Three leaf segments from the middle of the third youngest leaf were taken for microscopic analysis. Ten infection sites were examined microscopically on three leaf segments per genotype so that haustorial mother cells from a total of 30 infection sites were analyzed at 48 and 72 hai. To assess the generation of uredospore pustules in relation to the investigated leaf area, pictures were taken using a stereo microscope (Stemi, 2000; Carl Zeiss, Jena, Germany) in combination with the digital camera Axiocam MRc and its software package Axiovision 4 (Carl Zeiss AG, Jena). Ten days after inoculation (dai) when the generation of uredospore pustules on the leaves was completed, macroscopic infection resistance was estimated according to <xref ref-type="bibr" rid="B39">McIntosh et&#xa0;al. (1995)</xref>. This rating system allows the classification as &#x201c;immune&#x201d; (rated as &#x201c;0&#x201d;), &#x201c;very resistant&#x201d; (rated as &#x201c;;&#x201d;), &#x201c;resistant&#x201d; (rated as &#x201c;1&#x201d;), &#x201c;moderately resistant&#x201d; (rated as &#x201c;2&#x201d;), &#x201c;moderately resistant to moderately susceptible&#x201d; (rated as &#x201c;3&#x201d;), and &#x201c;susceptible&#x201d; (rated as &#x201c;4&#x201d;) in resistance testing of wheat to leaf rust. The letter &#x201c;N&#x201d; has been used to indicate a high degree of necrosis on leaves. However, in order to be able to calculate rating data for QTL analyses, the ratings were changed as follows: 0 (0),;, 1 (1, N), 2 (2), 3 (3), 4 (4).</p>
</sec>
<sec id="s2_3">
<title>DNA extraction, genotyping, and genetic map construction</title>
<p>About 1 &#xb5;g of purified DNA from leaf samples of each F<sub>2</sub> plant was extracted according to <xref ref-type="bibr" rid="B56">Stein et&#xa0;al. (2001)</xref> and sent to the Diversity Arrays Technology (DArT) Lab (Bruce, Australia, <ext-link ext-link-type="uri" xlink:href="https://www.diversityarrays.com/">https://www.diversityarrays.com/</ext-link>) for DArT-seq analysis (<ext-link ext-link-type="uri" xlink:href="https://www.diversityarrays.com/services/dartseq/">https://www.diversityarrays.com/services/dartseq/</ext-link>). DArT-seq is an efficient genotyping-by-sequencing platform, based on restriction enzyme-mediated genome complexity reduction and sequencing of the restriction fragments (<xref ref-type="bibr" rid="B14">Edet et&#xa0;al., 2018</xref>). Codominant DArT-seq SNP markers were scored with a &#x201c;0&#x201d; (reference allele homozygote), &#x201c;1&#x201d; (SNP allele homozygote), and &#x201c;2&#x201d; (heterozygote: presence of both reference and SNP alleles), while dominant DArT-seq markers were scored in a binary fashion, with &#x201c;1&#x201d; and &#x201c;0&#x201d; representing presence or absence variation (PAV) of the restriction fragment with the marker sequence (<xref ref-type="bibr" rid="B29">Kilian et&#xa0;al., 2012</xref>). For the selection of markers, grouping, and construction of the genetic map, JoinMap (<xref ref-type="bibr" rid="B58">Van Ooijen, 2006</xref>) was applied. Monomorphic markers were removed. Subsequently, data files were converted into an &#x201c;abh&#x201d; matrix (codominant DArT markers), &#x201c;db&#x201d; matrix (SNP alleles from maternal parent 36554) and an &#x201c;ac&#x201d; matrix (SNP alleles from paternal parent PI272560).</p>
<p>All markers were analyzed for their goodness of fit to the appropriate expected segregation ratios (1:2:1, 1:3, or 3:1) using the chi-square (<italic>&#x3c7;</italic>
<sup>2</sup>) test (<xref ref-type="bibr" rid="B45">Olivera et&#xa0;al., 2013</xref>). All segregations showing a significant <italic>&#x3c7;</italic>
<sup>2</sup> test at a level of 0.05, where the threshold for one degree of freedom (df) was 2.7 (ac; bd matrix) and that for 2 df was 4.59 (abh matrix), were excluded. Markers with &gt;10% missing information and a significant segregation distortion (alpha 0.05) were removed. To avoid repulsion effects of dominant and codominant markers, different strategies were developed to cope with this issue (<xref ref-type="bibr" rid="B30">Knapp et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B46">Peng et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B40">Mester et&#xa0;al., 2003</xref>). Therefore, three different genetic maps were constructed according to <xref ref-type="bibr" rid="B14">Edet et&#xa0;al. (2018)</xref>, that is, for codominant and dominant DArT-seq markers, respectively. Linkage groups were generated based on the population node at a stringency of the threshold value that enabled the formation of seven groups according to the number of chromosomes. Genetic distances were calculated according to <xref ref-type="bibr" rid="B33">Kosambi (1943)</xref>. By applying a standard BLASTN search against the <italic>T. urartu</italic> genome according to <xref ref-type="bibr" rid="B36">Ling et&#xa0;al. (2018)</xref>, unique positions of the DArT-Seq markers on the corresponding chromosomes were identified. Markers that could not be grouped into chromosomes by the Joinmap function &#x201c;Group&#x201d; were excluded from further analysis. In case that the orientation in maps was not the same after comparison of physical and genetic positions, the orientation of the corresponding linkage group was swapped.</p>
</sec>
<sec id="s2_4">
<title>Phenotypic data, statistical analysis, and QTL detection</title>
<p>Before QTL detection, phenotypic data were prepared as follows: Outliers were filtered out, if they were higher or lower than plus or minus three times the standard deviation of the mean. Then, quantile&#x2013;quantile (QQ) plots were created to remove non-normal distributed data at the QQ plot residuals manually. Shapiro&#x2013;Wilk tests (SW-tests, <xref ref-type="bibr" rid="B52">Shapiro and Wilk, 1965</xref>) were applied to confirm normal distribution. Abnormally distributed data were (log-) transformed, if possible. In that, the transformed visual rating scale nomenclature (<xref ref-type="bibr" rid="B39">McIntosh et&#xa0;al., 1995</xref>) was used for QTL analysis. Finally, a single-trait QTL simple interval mapping (SIM) analysis was conducted with MapQTL 5.0 by interval mapping (<xref ref-type="bibr" rid="B58">Van Ooijen, 2006</xref>; Kyazma, Wageningen, Netherlands).</p>
<p>To detect the respective thresholds of statistically significant LOD scores, permutation tests (1,000 repeats) were applied as previously described by <xref ref-type="bibr" rid="B58">Van Ooijen, 2006</xref>. Level of significance is needed to prove a QTL, and a relative cumulative count of 1 &#x2212; 0.05&#xa0;=&#xa0;0.95 according to a <italic>p</italic>-value of 0.05 was used. Results from a MACE data of accessions PI272560 and 36554 8 hai, 16 hai, and 24 hai and a control variant without any inoculation (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>) were used to improve candidate gene identification. These MACE data comprised sequence tags of PI272560 and Tb36554 samples obtained 8 hai, 16 hai, and 24 hai with leaf rust isolate wxr77. MACE data from 8 hai, 16 hai, and 24 hai and in parallel data of the non-inoculated control samples were available (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>). To detect differences of the expression between the parental accessions, the relative expression values (REVs) of each MACE tag were calculated as follows.</p>
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<mml:mtext mathvariant="bold-italic">sample</mml:mtext>
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<mml:mo>&#xa0;</mml:mo>
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<mml:mrow>
<mml:mtable>
<mml:mtr>
<mml:mtd>
<mml:mrow>
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<mml:mrow>
<mml:mn mathvariant="bold-italic">36554</mml:mn>
<mml:mo>&#xa0;</mml:mo>
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<mml:mtext mathvariant="bold-italic">tag</mml:mtext>
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<mml:mo mathvariant="bold">&#x2211;</mml:mo>
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<mml:mtext mathvariant="bold-italic">MACE</mml:mtext>
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<mml:mtext mathvariant="bold-italic">of</mml:mtext>
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<mml:mn mathvariant="bold">36554</mml:mn>
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<mml:mtr>
<mml:mtd>
<mml:mo>&#xa0;</mml:mo>
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</disp-formula>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">REV</mml:mtext>
<mml:mn mathvariant="bold">2</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>=</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn mathvariant="bold">1</mml:mn>
<mml:mo>*</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn mathvariant="bold">36554</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">MACE</mml:mtext>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">tag</mml:mtext>
<mml:mo>&#xa0;</mml:mo>
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<mml:msup>
<mml:mo mathvariant="bold">&#x2211;</mml:mo>
<mml:mo>&#x200b;</mml:mo>
</mml:msup>
<mml:mtext mathvariant="bold-italic">MACE</mml:mtext>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">of</mml:mtext>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">the</mml:mtext>
<mml:mo>&#xa0;</mml:mo>
<mml:mn mathvariant="bold">36554</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">sample</mml:mtext>
</mml:mrow>
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<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
<mml:mo>)</mml:mo>
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</mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext mathvariant="bold-italic">Pi</mml:mtext>
<mml:mn mathvariant="bold">272560</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">MACE</mml:mtext>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">tag</mml:mtext>
</mml:mrow>
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</mml:mrow>
<mml:mrow>
<mml:msup>
<mml:mo mathvariant="bold">&#x2211;</mml:mo>
<mml:mo>&#x200b;</mml:mo>
</mml:msup>
<mml:mtext mathvariant="bold-italic">MACE</mml:mtext>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">of</mml:mtext>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">PI</mml:mtext>
<mml:mn mathvariant="bold">272560</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold-italic">sample</mml:mtext>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>By dividing the number of a MACE tag within a specific sample through the sample&#x2019;s total MACE number, the sampling effect was eliminated (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>). REV1 describes the relative expression of a specific MACE tag of PI272560 vs. Tb36554, while REV2&#x2014;<italic>vice versa</italic>&#x2014;describes the relative expression of a specific MACE tag of Tb36554 vs. PI272560 at the same time segment and the same variant (inoculated or not inoculated). Since REV1&lt; 1 values equal to REV2&lt; &#x2212;1 and REV2 values &gt; &#x2212;1 equal to REV1 &gt; 1, only REV1 &gt; 1 and REV2&lt; &#x2212;1 were considered. To anchor the MACE tags to the <italic>T. urartu</italic> genome (taxid 4572), a MEGABLAST (Morgulis et&#xa0;al., 2008) search against all <italic>T. urartu</italic> genes was applied with an exception cutoff of 0.001 (E-value). Finally, based on scores for homology, the best BLAST-hit of each MACE was considered, if the percentage identity scores were above 95% and matched a gene on the <italic>T. urartu</italic> chromosome 5A (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2018</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Genetic map construction</title>
<p>After crossing PI272560 and the partially susceptible 36554, 182 F<sub>2</sub> plants were genotyped using the DArT-seq array based on <xref ref-type="bibr" rid="B25">Jing et&#xa0;al. (2009)</xref>. Out of 2,138 dominant markers and 7,984 codominant markers, after excluding monomorphic, as well as non-grouped markers and markers showing minor allele frequency&lt;5% or a high number of missing data, 2,465 markers were included in three genetic maps. One map contains codominant SNP markers and two maps contain dominant markers for both parental alleles. The three different genetic maps have a size of 1,341.45, 945.29, and 1,046.52 cM (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Distribution, positions, and number of markers of mapped DArT-seq markers within the three genetic maps (size is shown in cM) for dominant and codominant markers, respectively.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left">Chr.</th>
<th valign="bottom" colspan="3" align="left">Codominant markers</th>
<th valign="bottom" colspan="3" align="left">Dominant markers for the PI272560 allele</th>
<th valign="bottom" colspan="3" align="left">Dominant markers for the 36554 allele</th>
<th valign="bottom" rowspan="2" align="left">Physical size</th>
</tr>
<tr>
<th valign="bottom" align="left">Positions</th>
<th valign="bottom" align="left">Markers</th>
<th valign="bottom" align="left">Size</th>
<th valign="bottom" align="left">Positions</th>
<th valign="bottom" align="left">Markers</th>
<th valign="bottom" align="left">Size</th>
<th valign="bottom" align="left">Positions</th>
<th valign="bottom" align="left">Markers</th>
<th valign="bottom" align="left">Size</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">1A</td>
<td valign="bottom" align="left">225</td>
<td valign="bottom" align="left">74</td>
<td valign="bottom" align="left">182.55</td>
<td valign="bottom" align="left">299</td>
<td valign="bottom" align="left">239</td>
<td valign="bottom" align="left">120.57</td>
<td valign="bottom" align="left">306</td>
<td valign="bottom" align="left">199</td>
<td valign="bottom" align="left">169.18</td>
<td valign="bottom" align="left">584,104,260</td>
</tr>
<tr>
<td valign="bottom" align="left">2A</td>
<td valign="bottom" align="left">223</td>
<td valign="bottom" align="left">69</td>
<td valign="bottom" align="left">185.38</td>
<td valign="bottom" align="left">233</td>
<td valign="bottom" align="left">155</td>
<td valign="bottom" align="left">117.86</td>
<td valign="bottom" align="left">215</td>
<td valign="bottom" align="left">118</td>
<td valign="bottom" align="left">143.88</td>
<td valign="bottom" align="left">753,704,009</td>
</tr>
<tr>
<td valign="bottom" align="left">3A</td>
<td valign="bottom" align="left">251</td>
<td valign="bottom" align="left">48</td>
<td valign="bottom" align="left">222.88</td>
<td valign="bottom" align="left">281</td>
<td valign="bottom" align="left">148</td>
<td valign="bottom" align="left">184.45</td>
<td valign="bottom" align="left">294</td>
<td valign="bottom" align="left">137</td>
<td valign="bottom" align="left">197.28</td>
<td valign="bottom" align="left">747,003,405</td>
</tr>
<tr>
<td valign="bottom" align="left">4A</td>
<td valign="bottom" align="left">171</td>
<td valign="bottom" align="left">36</td>
<td valign="bottom" align="left">151.44</td>
<td valign="bottom" align="left">226</td>
<td valign="bottom" align="left">120</td>
<td valign="bottom" align="left">147.42</td>
<td valign="bottom" align="left">156</td>
<td valign="bottom" align="left">61</td>
<td valign="bottom" align="left">112.21</td>
<td valign="bottom" align="left">619,557,940</td>
</tr>
<tr>
<td valign="bottom" align="left">5A</td>
<td valign="bottom" align="left">206</td>
<td valign="bottom" align="left">78</td>
<td valign="bottom" align="left">167.39</td>
<td valign="bottom" align="left">201</td>
<td valign="bottom" align="left">135</td>
<td valign="bottom" align="left">112.44</td>
<td valign="bottom" align="left">168</td>
<td valign="bottom" align="left">107</td>
<td valign="bottom" align="left">97.41</td>
<td valign="bottom" align="left">661,454,495</td>
</tr>
<tr>
<td valign="bottom" align="left">6A</td>
<td valign="bottom" align="left">184</td>
<td valign="bottom" align="left">35</td>
<td valign="bottom" align="left">166.87</td>
<td valign="bottom" align="left">294</td>
<td valign="bottom" align="left">198</td>
<td valign="bottom" align="left">153.42</td>
<td valign="bottom" align="left">192</td>
<td valign="bottom" align="left">76</td>
<td valign="bottom" align="left">134.97</td>
<td valign="bottom" align="left">575,711,938</td>
</tr>
<tr>
<td valign="bottom" align="left">7A</td>
<td valign="bottom" align="left">296</td>
<td valign="bottom" align="left">54</td>
<td valign="bottom" align="left">264.94</td>
<td valign="bottom" align="left">288</td>
<td valign="bottom" align="left">232</td>
<td valign="bottom" align="left">109.13</td>
<td valign="bottom" align="left">290</td>
<td valign="bottom" align="left">146</td>
<td valign="bottom" align="left">191.59</td>
<td valign="bottom" align="left">719,654,360</td>
</tr>
<tr>
<td valign="bottom" align="left">Sum</td>
<td valign="bottom" align="left">1,556</td>
<td valign="bottom" align="left">394</td>
<td valign="bottom" align="left">1,341.45</td>
<td valign="bottom" align="left">1,822</td>
<td valign="bottom" align="left">1,227</td>
<td valign="bottom" align="left">945.29</td>
<td valign="bottom" align="left">1,621</td>
<td valign="bottom" align="left">844</td>
<td valign="bottom" align="left">1,046.52</td>
<td valign="bottom" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>As a comparison, the physical size of <italic>T. urartu</italic> chromosomes is shown in base pairs (bp).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Furthermore, the sequenced <italic>T. urartu</italic> genome (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2018</xref>) was used to anchor the DArT-seq markers to base pair positions of the respective physical chromosomes (pseudomolecules). In general, the arrangement of markers in the genetic and physical maps was comparable. However, in a few cases, the chronology of markers differed, e.g., at the tips of the chromosomes or inside inverted chromosome fragments. The respective genetic maps, phenotypic data, and QTL LOD values along the chromosomes are summarized in <xref ref-type="supplementary-material" rid="SM2">
<bold>Table S2</bold>
</xref>.</p>
</sec>
<sec id="s3_2">
<title>Phenotypic data and QTL detection</title>
<p>After carrying out the SW-test, it became apparent that neither hmc data (48 hai and 72 hai) nor visual rating data (<xref ref-type="supplementary-material" rid="SM3">
<bold>Table S3</bold>
</xref>) are normally distributed, but right skewed. While a (log-) transformation to normal distribution succeeded to transform the 48 hai hmc data to normal distribution, the hmc data (72 hai) and macroscopic data remained non-normally distributed (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). According to previous studies (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>), generation of hmc 48 hai differed in the amount of counted uredospore pustules per mm&#xb2; in leaf tissue between 0.35 &#xb1; 0.17 of PI272560 and 2.54 &#xb1; 0.64 (36554) and 72 hai between 0.53 &#xb1; 0.05 and 11.38 &#xb1; 1.99. Seven days after the inoculation, the parental line PI272560 did not show any colonies whereas line 36554 showed 0.39 &#xb1; 0.06 uredospore pustules per mm&#xb2;. Phenotypes of the F<sub>2</sub> population ranged between 0.18 and 8.67 hmc (48 hai), 0.87 and 16.83 hmc (72 hai), and from complete resistant (rated as &#x201c;0&#x201d;) to most susceptible phenotypes rated as &#x201c;2&#x201d;.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Density plots and quantile&#x2013;quantile plots of microscopically counted haustorial mother cells 48 and 72 hai and macroscopic resistance data. Macroscopic resistance data were obtained 10 days after inoculation (dai) after the generation of uredospore pustules. Original and (log-)transformed data are colored in blue and red, respectively. From 182 F<sub>2</sub> genotypes, the distribution of the haustorial mother cell number <bold>(A)</bold> 48&#xa0;h, <bold>(B)</bold> 72&#xa0;h, visual rating, and <bold>(C)</bold> 10 days after the inoculation is shown. Quantile-quantile plots of HMC data <bold>(D)</bold> 48 hai, <bold>(E)</bold> 72 hai and <bold>(F)</bold> rating data 10 dai. Observed hmc and rating values of the parental lines are represented on the x-axis by gray markings.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1252123-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Distribution of the haustorial mother cell number (hmc) and the rating score within the F<sub>2</sub> mapping population 48&#xa0;h after inoculation (hai), 72 hai, and after 10 days.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left"/>
<th valign="bottom" align="left">HMC number (48 hai)</th>
<th valign="bottom" align="left">HMC number (72 hai)</th>
<th valign="bottom" align="left">Rating score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">Minimum</td>
<td valign="bottom" align="left">0.18</td>
<td valign="bottom" align="left">0.60</td>
<td valign="bottom" align="left">0.00</td>
</tr>
<tr>
<td valign="bottom" align="left">1st Quartile</td>
<td valign="bottom" align="left">0.93</td>
<td valign="bottom" align="left">1.90</td>
<td valign="bottom" align="left">0.00</td>
</tr>
<tr>
<td valign="bottom" align="left">Median</td>
<td valign="bottom" align="left">1.47</td>
<td valign="bottom" align="left">3.50</td>
<td valign="bottom" align="left">0.00</td>
</tr>
<tr>
<td valign="bottom" align="left">Mean</td>
<td valign="bottom" align="left">1.97</td>
<td valign="bottom" align="left">5.05</td>
<td valign="bottom" align="left">0.24</td>
</tr>
<tr>
<td valign="bottom" align="left">3rd Quartile</td>
<td valign="bottom" align="left">2.52</td>
<td valign="bottom" align="left">7.80</td>
<td valign="bottom" align="left">0.00</td>
</tr>
<tr>
<td valign="bottom" align="left">Maximum</td>
<td valign="bottom" align="left">8.67</td>
<td valign="bottom" align="left">17.80</td>
<td valign="bottom" align="left">2.00</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>None of the three different phenotypic datasets correlate significantly (&#x3b1; = 0.01, 0.05, Spearman test) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). However, analysis of visual rating and hmc data at 72 hai led to the identification of a single QTL on chromosome 5A in two of the three genetic maps with a LOD value of 12.6 (hmc 72 hai) and 4.6 after processing visual rating (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Aligning the flanking and peak markers of these QTLs (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>) to the <italic>T. urartu</italic> reference genome revealed that both the hmc (72 hai) and rating-based QTL are located within the same physical interval in the <italic>T. urartu</italic> reference genome (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Both QTLs show the same peak with the SNP marker SNP_1364455 at the tip of the QTL (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM2">
<bold>Table S2</bold>
</xref>). Almost all (49 of 50) F<sub>2</sub> genotypes showing the PI272560 allele were rated as completely resistant, whereas plants being heterozygous or homozygous for the 36554 allele harbor a considerably higher fraction of susceptible (rating 2 or 3) F<sub>2</sub> plants (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Pearson correlation between rating data, haustorial mother cell (hmc) generation at 48 hai and at 72 hai.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left"/>
<th valign="bottom" align="left">Visual rating</th>
<th valign="bottom" align="left">Hmc at 48 hai</th>
<th valign="bottom" align="left">Hmc at 72 hai</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">Visual rating</td>
<td valign="bottom" align="left">1.00</td>
<td valign="bottom" align="left">0.03</td>
<td valign="bottom" align="left">0.07</td>
</tr>
<tr>
<td valign="bottom" align="left">Hmc at 48 hai</td>
<td valign="bottom" align="left">&#x2212;0.14</td>
<td valign="bottom" align="left">1.00</td>
<td valign="bottom" align="left">&#x2212;0.14</td>
</tr>
<tr>
<td valign="bottom" align="left">HMC at 72 hai</td>
<td valign="bottom" align="left">&#x2212;0.03</td>
<td valign="bottom" align="left">0.07</td>
<td valign="bottom" align="left">1.00-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Significant correlations are marked by *(&#x3b1; = 0.1), **(&#x3b1; = 0.05), and ***(&#x3b1; = 0.01).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>QTL regions on chromosomes (chr.) 5A and 7A based on genetic maps calculated with dominant markers (dm) and codominant markers (cdm).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left">Chr.</th>
<th valign="bottom" align="left">Maps</th>
<th valign="bottom" align="left">Traits</th>
<th valign="bottom" align="left">Interval (cM)</th>
<th valign="bottom" align="left">Interval (Mbp).</th>
<th valign="bottom" align="left">PEV</th>
<th valign="bottom" align="left">Add.</th>
<th valign="bottom" align="left">Markername</th>
<th valign="bottom" align="left">Peak (Mbp)</th>
<th valign="bottom" align="left">LOD</th>
<th valign="bottom" align="left">LOD cutoff</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">5A</td>
<td valign="bottom" align="left">cdm</td>
<td valign="bottom" align="left">Hmc at 72 hai</td>
<td valign="bottom" align="left">73.94&#x2013;103.37</td>
<td valign="bottom" align="left">418.56&#x2013;481.75</td>
<td valign="bottom" align="left">10.9</td>
<td valign="bottom" align="left">&#x2212;1.62</td>
<td valign="bottom" align="left">SNP_1364455</td>
<td valign="bottom" align="left">453.78</td>
<td valign="bottom" align="left">4.56</td>
<td valign="bottom" align="left">2.80</td>
</tr>
<tr>
<td valign="bottom" align="left">5A</td>
<td valign="bottom" align="left">cdm</td>
<td valign="bottom" align="left">Rating</td>
<td valign="bottom" align="left">61.64&#x2013;120.36</td>
<td valign="bottom" align="left">386.36&#x2013;501.64</td>
<td valign="bottom" align="left">26.9</td>
<td valign="bottom" align="left">&#x2212;0.29</td>
<td valign="bottom" align="left">SNP_1364455</td>
<td valign="bottom" align="left">453.78</td>
<td valign="bottom" align="left">12.39</td>
<td valign="bottom" align="left">2.80</td>
</tr>
<tr>
<td valign="bottom" align="left">5A</td>
<td valign="bottom" align="left">dm</td>
<td valign="bottom" align="left">Hmc at 72 hai</td>
<td valign="bottom" align="left">55.77</td>
<td valign="bottom" align="left">449.77</td>
<td valign="bottom" align="left">11.0</td>
<td valign="bottom" align="left">&#x2212;1.49</td>
<td valign="bottom" align="left">2326504</td>
<td valign="bottom" align="left">449.77</td>
<td valign="bottom" align="left">4.51</td>
<td valign="bottom" align="left">4.40</td>
</tr>
<tr>
<td valign="bottom" align="left">7A</td>
<td valign="bottom" align="left">dm</td>
<td valign="bottom" align="left">Hmc at 48 hai</td>
<td valign="bottom" align="left">188.39&#x2013;191.59</td>
<td valign="bottom" align="left">1.24&#x2013;3.57</td>
<td valign="bottom" align="left">60.9</td>
<td valign="bottom" align="left">1.86</td>
<td valign="bottom" align="left">1252815</td>
<td valign="bottom" align="left">701.29</td>
<td valign="bottom" align="left">13.87</td>
<td valign="bottom" align="left">13.70</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>QTL intervals of genetic maps (centiMorgan, cM) were compared to the physical position available from the <italic>T. urartu</italic> genome (million base pairs, Mbp). Using different phenotypic data as traits, the percentage of explained variance (PEV), logarithm of odds (LOD), and additive effect (add.) were calculated. cM and Mbp position of markers that directly flank the QTLs region above the LOD-cutoff value of the respective chromosome. The LOD-cutoff values were determined after a permutation test with 1,000 repeats and indicate a significance level of p = 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Phenotypic data of genotypes carrying different alleles of the SNP_PI1364455 and 3570218 markers. Hmc = Haustorial mother cells. The &#x201c;a&#x201d; and &#x201c;b&#x201d; alleles represent genotypes that are homozygous for the PI272560 or Tb36554 allele. &#x201c;h&#x201d; represents heterozygous genotypes. <bold>(A, D)</bold> Haustorial mother cell data 48 hai, <bold>(B, E)</bold> haustorial mother cell data 72 hai, and <bold>(C, F)</bold> resistance data. Significant differences between the respective subgroups were calculated with a two-tailed independent <italic>t</italic>-test. <italic>p</italic>-values &#x2264; 0.05 or 0.01 were marked with one or two stars, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1252123-g002.tif"/>
</fig>
<p>Complete resistance only occurs in genotypes homozygous for the PI272560 allele (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Nevertheless, a positive effect of the PI272560 allele can be detected in heterozygous genotypes as they are significantly more resistant than genotypes homozygous for the 36554 allele (<italic>&#x3c7;</italic>
<sup>2</sup> test, <italic>p</italic>-value = 0.003). However, notably, genotypes being homozygous for the allele of the susceptible parent 36554 were not completely susceptible. <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;C</bold>
</xref> illustrate that the PI272560 allele of SNP_1364455 is associated with a lower amount of HMC 72 hai and a significantly reduced or even absent infestation 10 dpi.</p>
<p>Furthermore, a possible minor QTL just above the significance threshold could be detected on chromosome 7A at 48 hai (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). According to a <italic>&#x3c7;</italic>
<sup>2</sup> test, F<sub>2</sub> plants carrying the 36554 allele of the respective peak marker 3570218 show a minor reduction of hmc compared to genotypes carrying the 36554 allele. However, no differences could be detected at 72 hai and visual rating after 10 days (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2D&#x2013;F</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Identification of candidate genes on chromosome 5A</title>
<p>Independent from the different genetic maps, DArT-seq markers in general show the same order on chromosome 5A compared to the <italic>T. urartu</italic> genome. Furthermore, both QTL for rating data and the number of hmc at 72 hai between the flanking markers colocalize within the same physical region (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>; <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>QTL for hmc (72 hai) data and resistance rated in the codominant SNPs and dominant genetic map on genetic and physical scale on chromosome 5A. Million base pair (Mbp) positions according to the sequenced <italic>T. urartu</italic> genome (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2018</xref>) are illustrated to the right side. Genetic positions of the codominant and dominant maps are illustrated to the left. Logarithm of odds (LOD) values were plotted along the chromosomes on both sides. <bold>(A, B)</bold> illustrate the QTLs mapped along the genetic map that was constructed with codominant markers. <bold>(C, D)</bold> illustrate maps that were constructed with markers that were dominant for the PI272560 or Tb36554 allele. <bold>(A, C)</bold> show QTLs that were obtained with macroscopic resistance data after the generation of uredospore pustules (for more details, see text). <bold>(B, D)</bold> illustrate QTLs that were obtained with haustorial mother cell data 72 hai (for more details, see text). Red markers indicate the presence of significant QTL LOD values, according to a permutation test (alpha = 0.05). All QTLs colocalize within the same physical region. Illustrations were created with the software GenoTypeMapper (<xref ref-type="bibr" rid="B11">Deblieck et&#xa0;al., 2020</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1252123-g003.tif"/>
</fig>
<p>After a permutation test at a level of &#x3b1; = 0.05, 729 genes (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2018</xref>) could be located based on their physical position within the QTL (trait hmc at 72 hai) on Chromosome 5A, ranging from 418.56 to 481.75 Mbp (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM4">
<bold>Table S4</bold>
</xref>). Increasing the significance level from 0.950 to 0.999, the QTL region could be narrowed down to 10.6 Mbp., ranging from 443.16 to 453.78 Mbp. Within this region, the order of markers did not perfectly match the order of the physical <italic>T. urartu</italic> genome (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM5">
<bold>Table S5</bold>
</xref>). Therefore, based on the marker order in the genetic map, the size of the interval was increased to a region between 443.16 and 459.30 Mbp, comprising 217 genes (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2018</xref>; <xref ref-type="supplementary-material" rid="SM4">
<bold>Table S4</bold>
</xref>). MACE tags could be anchored to 117 of them.</p>
<p>Out of these 117 genes, 11 genes are exclusively expressed in PI272560 and 12 genes are expressed only in accession 36554 (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Overall, five of these genes are known to be involved in resistance reactions to fungal pathogens (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Exclusively expressed tags in parents PI272560 and 36554 that could be anchored within the narrowed down QTL region on chromosome 5A.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Parents</th>
<th valign="bottom" align="left">Physical position (start of sequence)</th>
<th valign="bottom" align="left">
<italic>T. urartu</italic> gene</th>
<th valign="bottom" align="left">Hit to <italic>T. urartu</italic> gene<break/>(BLAST-subject sequence)</th>
<th valign="bottom" align="left">MACE tag<break/>(BLAST-query sequence)</th>
<th valign="bottom" align="left">Biotic (*)<break/>Abiotic (**)</th>
<th valign="bottom" align="left">Pident</th>
<th valign="bottom" align="left">E-value</th>
<th valign="bottom" align="left">8 h contr.</th>
<th valign="bottom" align="left">8 h inoc.</th>
<th valign="bottom" align="left">16 h contr.</th>
<th valign="bottom" align="left">16 h inoc.</th>
<th valign="bottom" align="left">24 h contr.</th>
<th valign="bottom" align="left">24 h inoc.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="11" align="center">PI272560</td>
<td valign="bottom" align="left">443190558</td>
<td valign="middle" align="left">2813.01</td>
<td valign="bottom" align="left">Transcription factor bHLH49</td>
<td valign="bottom" align="left">TC403977</td>
<td valign="bottom" align="left">**</td>
<td valign="bottom" align="left">97.3</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">1.63</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">445603573</td>
<td valign="middle" align="left">2826.01</td>
<td valign="bottom" align="left">Dof zinc finger protein MNB1A</td>
<td valign="bottom" align="left">TC420827</td>
<td valign="bottom" align="left">*/**</td>
<td valign="bottom" align="left">88.5</td>
<td valign="bottom" align="left">2E-161</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.68</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">446396174</td>
<td valign="middle" align="left">2830.01</td>
<td valign="bottom" align="left">Microtubule binding protein 2C</td>
<td valign="bottom" align="left">TC454483</td>
<td valign="bottom" align="left">*</td>
<td valign="bottom" align="left">97.0</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.67</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">446399596</td>
<td valign="middle" align="left">2831.01</td>
<td valign="bottom" align="left">Translation initiation factor IF-2</td>
<td valign="bottom" align="left">CA727554</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">97.2</td>
<td valign="bottom" align="left">1E-114</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.52</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">449461624</td>
<td valign="middle" align="left">2872.01</td>
<td valign="bottom" align="left">Tonoplast dicarboxylate transporter</td>
<td valign="bottom" align="left">TC417826</td>
<td valign="bottom" align="left">**</td>
<td valign="bottom" align="left">84.3</td>
<td valign="bottom" align="left">8E-71</td>
<td valign="bottom" align="left">0.82</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">450096292</td>
<td valign="middle" align="left">2891.01</td>
<td valign="bottom" align="left">Fasciclin arabinogalactan protein 7</td>
<td valign="bottom" align="left">TC393310</td>
<td valign="bottom" align="left">**</td>
<td valign="bottom" align="left">93.2</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.70</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">452761127</td>
<td valign="middle" align="left">2931.01</td>
<td valign="bottom" align="left">Protein LTV1 homolog</td>
<td valign="bottom" align="left">TC390467</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">98.9</td>
<td valign="bottom" align="left">2E-126</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.67</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">453045990</td>
<td valign="middle" align="left">2937.01</td>
<td valign="bottom" align="left">Cationic amino acid transporter 5</td>
<td valign="bottom" align="left">CN009021</td>
<td valign="bottom" align="left">**</td>
<td valign="bottom" align="left">93.9</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">0.82</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">455349149</td>
<td valign="middle" align="left">2977.01</td>
<td valign="bottom" align="left">Beta-glucosidase 30</td>
<td valign="bottom" align="left">TC433011</td>
<td valign="bottom" align="left">*/**</td>
<td valign="bottom" align="left">96.0</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.68</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">457006664</td>
<td valign="middle" align="left">2992.01</td>
<td valign="bottom" align="left">Splicing factor U2af small subunit A</td>
<td valign="bottom" align="left">CV769277</td>
<td valign="bottom" align="left">*</td>
<td valign="bottom" align="left">86.1</td>
<td valign="bottom" align="left">2E-107</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.67</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">457034622</td>
<td valign="middle" align="left">2998.01</td>
<td valign="bottom" align="left">Uncharacterized</td>
<td valign="bottom" align="left">TC408191</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">99.6</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.68</td>
<td valign="bottom" align="left">0.67</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" rowspan="12" align="center">36554</td>
<td valign="bottom" align="left">443450603</td>
<td valign="middle" align="left">2816.01</td>
<td valign="bottom" align="left">Queuine tRNA-ribosyltransferase catalytic subunit 1</td>
<td valign="bottom" align="left">comp41569_c0_seq1</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">96.7</td>
<td valign="bottom" align="left">4E-47</td>
<td valign="bottom" align="left">0.79</td>
<td valign="bottom" align="left">0.61</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">448814185</td>
<td valign="middle" align="left">2860.01</td>
<td valign="bottom" align="left">Wall-associated receptor kinase 3</td>
<td valign="bottom" align="left">TC248033</td>
<td valign="bottom" align="left">*</td>
<td valign="bottom" align="left">95.3</td>
<td valign="bottom" align="left">3E-129</td>
<td valign="bottom" align="left">0.79</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">448825517</td>
<td valign="middle" align="left">2861.01</td>
<td valign="bottom" align="left">Putative BPI/LBP family protein</td>
<td valign="bottom" align="left">TC262663</td>
<td valign="bottom" align="left">(*)</td>
<td valign="bottom" align="left">95.8</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.57</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">450218030</td>
<td valign="middle" align="left">2897.01</td>
<td valign="bottom" align="left">E3 ubiquitin-protein ligase UPL5</td>
<td valign="bottom" align="left">TC248540</td>
<td valign="bottom" align="left">*</td>
<td valign="bottom" align="left">92.6</td>
<td valign="bottom" align="left">2E-176</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.55</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">450415454</td>
<td valign="middle" align="left">2901.01</td>
<td valign="bottom" align="left">Uncharacterized</td>
<td valign="bottom" align="left">TC392852</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">97.8</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">0.79</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.55</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">452811833</td>
<td valign="middle" align="left">2933.01</td>
<td valign="bottom" align="left">Uncharacterized</td>
<td valign="bottom" align="left">TC402189</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">85.7</td>
<td valign="bottom" align="left">8E-81</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">1.89</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">453106195</td>
<td valign="middle" align="left">2941.01</td>
<td valign="bottom" align="left">Uncharacterized</td>
<td valign="bottom" align="left">TC445345</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">82.3</td>
<td valign="bottom" align="left">9E-93</td>
<td valign="bottom" align="left">8.67</td>
<td valign="bottom" align="left">0.61</td>
<td valign="bottom" align="left">5.71</td>
<td valign="bottom" align="left">6.59</td>
<td valign="bottom" align="left">5.67</td>
<td valign="bottom" align="left">1.12</td>
</tr>
<tr>
<td valign="bottom" align="left">453280061</td>
<td valign="middle" align="left">2945.01</td>
<td valign="bottom" align="left">Small heat shock protein, chloroplastic</td>
<td valign="bottom" align="left">BE604120</td>
<td valign="bottom" align="left">**</td>
<td valign="bottom" align="left">92.0</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">1.14</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">453763106</td>
<td valign="middle" align="left">2954.01</td>
<td valign="bottom" align="left">Plant UBX domain-containing protein 10</td>
<td valign="bottom" align="left">TC240157</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">92.9</td>
<td valign="bottom" align="left">3E-165</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.55</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.56</td>
</tr>
<tr>
<td valign="bottom" align="left">455944296</td>
<td valign="middle" align="left">2984.01</td>
<td valign="bottom" align="left">Protein EMSY 3</td>
<td valign="bottom" align="left">TC248969</td>
<td valign="bottom" align="left">*</td>
<td valign="bottom" align="left">94.0</td>
<td valign="bottom" align="left">1E-168</td>
<td valign="bottom" align="left">0.79</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">1.89</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">457011732</td>
<td valign="middle" align="left">2995.01</td>
<td valign="bottom" align="left">Uncharacterized</td>
<td valign="bottom" align="left">TC388510</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">95.6</td>
<td valign="bottom" align="left">1E-148</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.55</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">457799874</td>
<td valign="middle" align="left">3010.01</td>
<td valign="bottom" align="left">Phenylacetaldehyde reductase</td>
<td valign="bottom" align="left">comp41361_c0_seq1</td>
<td valign="bottom" align="left">(*)</td>
<td valign="bottom" align="left">100.0</td>
<td valign="bottom" align="left">1E-40</td>
<td valign="bottom" align="left">0.79</td>
<td valign="bottom" align="left">0.61</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.55</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="left">0.56</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>From tags showing a hit to genes within the <italic>T.urartu genome</italic>, the percentage identity (pident), expectation value (E-value), and the last six digits of T. urartu gene IDs (TuG1812Gxxxx.xx) are shown. Number of tags within variants and time segments are shown as tags per million (tpm). Genes related to abiotic or abiotic stress were marked with one or two asterisks.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Finally, differentially expressed MACE and their underlying genes were examined. For this purpose, the three MACE with the highest or lowest REV1 and REV2 values were identified 8&#x2013;24 hai in inoculated and non-inoculated samples and summarized in <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>: 8 and 14 MACE tags were quantitatively upregulated in 36554 and PI272560, respectively (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Differentially expressed genes 8, 16, and 24 hai within the QTL interval on chromosome 5A.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left"/>
<th valign="bottom" align="left">Physical position (bp)</th>
<th valign="bottom" align="left">Gene<break/>(<italic>T. urartu</italic>)</th>
<th valign="bottom" align="left">InterPro</th>
<th valign="bottom" align="left">MACE tag</th>
<th valign="bottom" align="left">Pident</th>
<th valign="bottom" align="left">E-value</th>
<th valign="bottom" align="left">8 h contr.</th>
<th valign="bottom" align="left">16 h contr.</th>
<th valign="bottom" align="left">24 h contr.</th>
<th valign="bottom" align="left">8 h inoc.</th>
<th valign="bottom" align="left">16 h inoc.</th>
<th valign="bottom" align="left">24 h inoc.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="8" align="left">Less&#xa0;expressed in&#xa0;PI272560</td>
<td valign="bottom" align="left">446399596</td>
<td valign="bottom" align="left">2831.01</td>
<td valign="bottom" align="left">RRM_dom</td>
<td valign="bottom" align="left">TC418597</td>
<td valign="bottom" align="left">98.8</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">&#x2212;5.32</td>
<td valign="bottom" align="left">&#x2212;4.57</td>
<td valign="bottom" align="left">&#x2212;2.19</td>
<td valign="bottom" align="left">&#x2212;4.62</td>
<td valign="bottom" align="left">&#x2212;2.46</td>
<td valign="bottom" align="left">&#x2212;2.99</td>
</tr>
<tr>
<td valign="bottom" align="left">446979590</td>
<td valign="bottom" align="left">2842.01</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">comp11717_c0_seq1</td>
<td valign="bottom" align="left">98.3</td>
<td valign="bottom" align="left">1.94E-113</td>
<td valign="bottom" align="left">&#x2212;2.79</td>
<td valign="bottom" align="left">&#x2212;7.47</td>
<td valign="bottom" align="left">&#x2212;5.96</td>
<td valign="bottom" align="left">&#x2212;10.56</td>
<td valign="bottom" align="left">&#x2212;7.57</td>
<td valign="bottom" align="left">&#x2212;11.64</td>
</tr>
<tr>
<td valign="bottom" align="left">449721613</td>
<td valign="bottom" align="left">2877.01</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">TC449518</td>
<td valign="bottom" align="left">89.9</td>
<td valign="bottom" align="left">1.25E-166</td>
<td valign="bottom" align="left">&#x2212;2.42</td>
<td valign="bottom" align="left">&#x2212;10.80</td>
<td valign="bottom" align="left">&#x2212;2.19</td>
<td valign="bottom" align="left">&#x2212;1.84</td>
<td valign="bottom" align="left">&#x2212;4.04</td>
<td valign="bottom" align="left">&#x2212;2.93</td>
</tr>
<tr>
<td valign="bottom" align="left">449881343</td>
<td valign="bottom" align="left">2882.01</td>
<td valign="bottom" align="left">Nup186/Nup192/Nup205</td>
<td valign="bottom" align="left">comp16121_c0_seq1</td>
<td valign="bottom" align="left">93.6</td>
<td valign="bottom" align="left">5.94E-113</td>
<td valign="bottom" align="left">&#x2212;4.19</td>
<td valign="bottom" align="left">3.09</td>
<td valign="bottom" align="left">1.65</td>
<td valign="bottom" align="left">&#x2212;19.92</td>
<td valign="bottom" align="left">&#x2212;2.83</td>
<td valign="bottom" align="left">0.00</td>
</tr>
<tr>
<td valign="bottom" align="left">451320962</td>
<td valign="bottom" align="left">2914.01</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">TC412143</td>
<td valign="bottom" align="left">100.0</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">&#x2212;4.06</td>
<td valign="bottom" align="left">&#x2212;25.24</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">&#x2212;4.98</td>
<td valign="bottom" align="left">&#x2212;13.96</td>
<td valign="bottom" align="left">&#x2212;9.78</td>
</tr>
<tr>
<td valign="bottom" align="left">453763106</td>
<td valign="bottom" align="left">2954.01</td>
<td valign="bottom" align="left">UBX_dom</td>
<td valign="bottom" align="left">comp23758_c0_seq1</td>
<td valign="bottom" align="left">98.9</td>
<td valign="bottom" align="left">2.19E-90</td>
<td valign="bottom" align="left">3.10</td>
<td valign="bottom" align="left">1.68</td>
<td valign="bottom" align="left">&#x2212;4.86</td>
<td valign="bottom" align="left">&#x2212;2.81</td>
<td valign="bottom" align="left">&#x2212;1.33</td>
<td valign="bottom" align="left">&#x2212;1.40</td>
</tr>
<tr>
<td valign="bottom" align="left">456345861</td>
<td valign="bottom" align="left">2988.01</td>
<td valign="bottom" align="left">PPC_dom</td>
<td valign="bottom" align="left">TC406617</td>
<td valign="bottom" align="left">99.8</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">&#x2212;16.44</td>
<td valign="bottom" align="left">&#x2212;25.24</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">&#x2212;2.16</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">&#x2212;8.85</td>
</tr>
<tr>
<td valign="bottom" align="left">458108792</td>
<td valign="bottom" align="left">3015.01</td>
<td valign="bottom" align="left">HARBI1-like</td>
<td valign="bottom" align="left">comp6659_c0_seq1</td>
<td valign="bottom" align="left">88.6</td>
<td valign="bottom" align="left">4.16E-76</td>
<td valign="bottom" align="left">&#x2212;6.01</td>
<td valign="bottom" align="left">&#x2212;20.57</td>
<td valign="bottom" align="left">&#x2212;12.23</td>
<td valign="bottom" align="left">&#x2212;6.33</td>
<td valign="bottom" align="left">&#x2212;10.67</td>
<td valign="bottom" align="left">&#x2212;18.08</td>
</tr>
<tr>
<td valign="middle" rowspan="14" align="center">Higher&#xa0;expressed&#xa0;in&#xa0;PI272560</td>
<td valign="bottom" align="left">446784968</td>
<td valign="bottom" align="left">2834.01</td>
<td valign="bottom" align="left">UDP_glucos_trans</td>
<td valign="bottom" align="left">TC395757</td>
<td valign="bottom" align="left">95.5</td>
<td valign="bottom" align="left">9.91E-148</td>
<td valign="bottom" align="left">&#x2212;2.18</td>
<td valign="bottom" align="left">11.88</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">&#x2212;4.11</td>
<td valign="bottom" align="left">&#x2212;1.23</td>
<td valign="bottom" align="left">0.00</td>
</tr>
<tr>
<td valign="bottom" align="left">449473077</td>
<td valign="bottom" align="left">2873.01</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">comp9650_c0_seq1</td>
<td valign="bottom" align="left">95.7</td>
<td valign="bottom" align="left">1.44E-90</td>
<td valign="bottom" align="left">4.11</td>
<td valign="bottom" align="left">24.24</td>
<td valign="bottom" align="left">11.06</td>
<td valign="bottom" align="left">5.79</td>
<td valign="bottom" align="left">6.77</td>
<td valign="bottom" align="left">23.30</td>
</tr>
<tr>
<td valign="bottom" align="left">449922178</td>
<td valign="bottom" align="left">2884.01</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">TC245439</td>
<td valign="bottom" align="left">94.0</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">3.93</td>
<td valign="bottom" align="left">3.57</td>
<td valign="bottom" align="left">1.10</td>
<td valign="bottom" align="left">8.08</td>
<td valign="bottom" align="left">4.18</td>
<td valign="bottom" align="left">47.25</td>
</tr>
<tr>
<td valign="bottom" align="left">449922178</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">TC400395</td>
<td valign="bottom" align="left">99.0</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">4.37</td>
<td valign="bottom" align="left">3.12</td>
<td valign="bottom" align="left">1.92</td>
<td valign="bottom" align="left">10.91</td>
<td valign="bottom" align="left">4.73</td>
<td valign="bottom" align="left">18.08</td>
</tr>
<tr>
<td valign="bottom" align="left">450096292</td>
<td valign="bottom" align="left">2891.01</td>
<td valign="bottom" align="left">FAS1_domain</td>
<td valign="bottom" align="left">TC449136</td>
<td valign="bottom" align="left">98.3</td>
<td valign="bottom" align="left">1.32E-83</td>
<td valign="bottom" align="left">&#x2212;1.66</td>
<td valign="bottom" align="left">14.86</td>
<td valign="bottom" align="left">3.98</td>
<td valign="bottom" align="left">&#x2212;2.91</td>
<td valign="bottom" align="left">1.02</td>
<td valign="bottom" align="left">2.15</td>
</tr>
<tr>
<td valign="bottom" align="left">450211074</td>
<td valign="bottom" align="left">2896.01</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">CA638175</td>
<td valign="bottom" align="left">82.8</td>
<td valign="bottom" align="left">1.13E-57</td>
<td valign="bottom" align="left">10.34</td>
<td valign="bottom" align="left">1.02</td>
<td valign="bottom" align="left">&#x2212;2.13</td>
<td valign="bottom" align="left">12.70</td>
<td valign="bottom" align="left">5.68</td>
<td valign="bottom" align="left">&#x2212;1.71</td>
</tr>
<tr>
<td valign="bottom" align="left">450211074</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">TC412967</td>
<td valign="bottom" align="left">91.7</td>
<td valign="bottom" align="left">2.56E-19</td>
<td valign="bottom" align="left">6.70</td>
<td valign="bottom" align="left">1.05</td>
<td valign="bottom" align="left">2.27</td>
<td valign="bottom" align="left">4.97</td>
<td valign="bottom" align="left">4.89</td>
<td valign="bottom" align="left">&#x2212;1.23</td>
</tr>
<tr>
<td valign="bottom" align="left">450211074</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">TC376942</td>
<td valign="bottom" align="left">98.6</td>
<td valign="bottom" align="left">7.77E-139</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">&#x2212;1.56</td>
<td valign="bottom" align="left">&#x2212;1.82</td>
<td valign="bottom" align="left">5.20</td>
<td valign="bottom" align="left">10.35</td>
<td valign="bottom" align="left">&#x2212;1.21</td>
</tr>
<tr>
<td valign="bottom" align="left">450397572</td>
<td valign="bottom" align="left">2899.01</td>
<td valign="bottom" align="left">Oxid_FAD_bind_/BBE</td>
<td valign="bottom" align="left">TC382880</td>
<td valign="bottom" align="left">99.0</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">7.39</td>
<td valign="bottom" align="left">&#x2212;1.94</td>
<td valign="bottom" align="left">4.12</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">1.95</td>
<td valign="bottom" align="left">&#x2212;1.70</td>
</tr>
<tr>
<td valign="bottom" align="left">450397572</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">TC383288</td>
<td valign="bottom" align="left">95.1</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">&#x2212;1.68</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">17.32</td>
<td valign="bottom" align="left">2.03</td>
<td valign="bottom" align="left">&#x2212;1.12</td>
</tr>
<tr>
<td valign="bottom" align="left">450397572</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">comp28850_c0_seq1</td>
<td valign="bottom" align="left">98.4</td>
<td valign="bottom" align="left">3.88E-88</td>
<td valign="bottom" align="left">7.16</td>
<td valign="bottom" align="left">&#x2212;1.81</td>
<td valign="bottom" align="left">3.20</td>
<td valign="bottom" align="left">95.85</td>
<td valign="bottom" align="left">2.18</td>
<td valign="bottom" align="left">&#x2212;1.15</td>
</tr>
<tr>
<td valign="bottom" align="left">450415454</td>
<td valign="bottom" align="left">2901.01</td>
<td valign="bottom" align="left"/>
<td valign="bottom" align="left">TC241640</td>
<td valign="bottom" align="left">90.4</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">0.00</td>
<td valign="bottom" align="left">6.09</td>
<td valign="bottom" align="left">0.00</td>
</tr>
<tr>
<td valign="bottom" align="left">452635874</td>
<td valign="bottom" align="left">2930.01</td>
<td valign="bottom" align="left">Glyco_trans_8</td>
<td valign="bottom" align="left">TC371124</td>
<td valign="bottom" align="left">97.6</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">1.18</td>
<td valign="bottom" align="left">2.97</td>
<td valign="bottom" align="left">8.51</td>
<td valign="bottom" align="left">1.03</td>
<td valign="bottom" align="left">1.02</td>
<td valign="bottom" align="left">6.44</td>
</tr>
<tr>
<td valign="bottom" align="left">457231755</td>
<td valign="bottom" align="left">3004.01</td>
<td valign="bottom" align="left">Chaperone_DnaK</td>
<td valign="bottom" align="left">TC262056</td>
<td valign="bottom" align="left">94.8</td>
<td valign="bottom" align="left">0</td>
<td valign="bottom" align="left">&#x2212;1.31</td>
<td valign="bottom" align="left">1.49</td>
<td valign="bottom" align="left">7.14</td>
<td valign="bottom" align="left">&#x2212;1.30</td>
<td valign="bottom" align="left">&#x2212;1.03</td>
<td valign="bottom" align="left">&#x2212;1.49</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Position of less expressed genes in PI272560 and higher expressed genes in comparison to accession 36554 are shown. From tags showing a hit to genes within the <italic>T. urartu</italic> genome, the percentage identity (pident), expectation value (E-value), and the last six digits of <italic>T. urartu</italic> gene IDs (TuG1812Gxxxx.xx) are shown. Number of tags within variants and time segments are shown as tags per million tags (tpm). Tpm detected in PI272560 and 36554 were compared to obtain the relative expression values (REV) 1 and 2 (Materials and Methods section). The position within the <italic>T. urartu</italic> genome is shown in base pairs (bp) for the inoculated (inoc.) and non-inoculated (contr.) variants.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Heatmap of the most differentially expressed genes between PI272560 and 36554 in non-inoculated (columns from left to right) and inoculated variants at 8, 16, 24 hai. The number of tags per million (tpm) between PI272560 and 36554 for the same tags was compared according to the REV1 and REV2 equations. High and low expression values were colored in red and blue. For more detailed information about the REV1/REV2 values and anchoring of the MACE-tags to the genes, see the <italic>Materials and Methods</italic> section. Only MACE with complete expression information, i.e., under inoculated and non-inoculated conditions and at all time points, were considered.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1252123-g004.tif"/>
</fig>
<p>Notably, one gene (TuG1812G0500002899), encoding a berberine bridge enzyme (BBE)-like Cyn d 4, showed a 95 times higher expression at 8 hai in PI272560 than in 36554. This gene is located exactly at the peak of the QTL on chromosome 5A at 450.397 Mbp, close to the marker SNP_1364455 (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref>). On a whole transcriptome level, the gene coding for a berberine bridge enzyme-like was one of the highest upregulated genes in PI272560 after inoculation in comparison to 36554 (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM6">
<bold>Table S6</bold>
</xref>). <xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref> and <xref ref-type="fig" rid="f6">
<bold>6</bold>
</xref> illustrate the relative expression of MACE tags along chromosome 5A (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2018</xref>) and within the MACE data.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>MACE expression values on chromosome 5A. Relative expression values and positions of the MACE on chromosome 5A are illustrated on the <italic>x</italic>- and <italic>y</italic>-axes. Blue and red dots represent expression values (REV), obtained under non-inoculated conditions and inoculated conditions. They describe the <italic>x</italic> fold expression of a MACE relative to the resistant PI272560 and were calculated according to the REV1 and REV2 equations (for more details, see text). Negative relative expression values indicate a stronger expression of the MACE tag in 36554, whereas positive values indicate a stronger expression in the resistant parent PI272560. <bold>(A&#x2013;C)</bold> illustrate the relative expression values that were calculated for the MACE 8 hai, 16 hai and 24 hai, respectively. The arrow between the dashed lines indicates the position of the MACE with the highest differential expression in the QTL interval on chromosome 5A. This MACE tag belongs to a Berberine bridge enzyme (BBE) and is 95-fold higher expressed in the resistant accession PI272560 8 hai.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1252123-g005.tif"/>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Relative expression values of MACE tags in inoculated and non-inoculated samples 8, 16, and 24 hai. Inoc = Inoculated, contr. = non-inoculated control samples. The number of tags per million (tpm) between PI272560 and 36554 for the same tags was compared (according to the REV1 and REV2 equations). Therefore, negative relative expression values indicate a stronger expression of the MACE tag in the parent 36554, whereas positive values indicate a stronger expression in the resistant parent PI272560. Red dots indicate the MACE of the genes within the QTL interval on chromosome five. Relative expression values were illustrated <bold>(A)</bold> 8 hai, <bold>(B)</bold>16 hai, and <bold>(C)</bold> 24 hai. The arrow highlights the position of the MACE with the highest differential expression in the QTL interval on chromosome 5A. This MACE belongs to a Berberine bridge enzyme (BBE) and is 95-fold higher expressed in the resistant accession PI272560 8 hai.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1252123-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion and conclusion</title>
<p>Today, only a few known <italic>Lr-</italic>genes are used in wheat varieties. Most are seedling resistances, which are generally vulnerable to being broken down by races with a changed virulence pattern (<xref ref-type="bibr" rid="B47">Periyannan et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B62">Zetzsche et&#xa0;al., 2020</xref>). Only a few non-race-specific resistances have been described, for instance, <italic>Lr34</italic> and <italic>Lr67</italic>, which are quantitative and active at the adult plant development stages only (<xref ref-type="bibr" rid="B20">Hou et&#xa0;al., 2023</xref>). In most cases, obligate biotrophic fungal pathogens such as leaf rust are strictly host-specific. Therefore, one possibility to introduce durable leaf rust in wheat cultivars is single genes from alien species. Examples of these are the stem rust resistance genes <italic>Sr31</italic>, powdery mildew resistance <italic>Pm21</italic>, and resistance to eyespot disease resistance <italic>Pch1</italic> (<xref ref-type="bibr" rid="B15">Ellis et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B61">Wulff and Moscou, 2014</xref>). Alien introgressions from rye (<italic>Secale cereale</italic>) contribute several resistance genes for powdery mildew, leaf, stripe, and stem rust, for example, <italic>Yr9</italic>, <italic>Lr25</italic>, and <italic>Lr26</italic> (<xref ref-type="bibr" rid="B26">Johannson et&#xa0;al., 2020</xref>).</p>
<p>Hybridization between wheat and its wild relatives <italic>Aegilops</italic> sp., <italic>Triticum timopheevii</italic>, and <italic>Thinopyrum ponticum</italic> (<xref ref-type="bibr" rid="B27">Keilwagen et&#xa0;al., 2019</xref>) occurs naturally and is conducted during the breeding process. However, only a few rust resistances have been introgressed from diploid <italic>T. monococcum</italic> (<italic>Yr34</italic>, <xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2021</xref>; <italic>Sr22</italic>, <xref ref-type="bibr" rid="B28">Kerber and Dyck, 1973</xref>). A transfer of leaf rust resistance to wheat was reported by <xref ref-type="bibr" rid="B21">Hussien et&#xa0;al. (1997)</xref>, whereas <xref ref-type="bibr" rid="B44">Noweiska et&#xa0;al. (2022)</xref> and <xref ref-type="bibr" rid="B16">Feuillet et&#xa0;al. (2003)</xref> showed that <italic>Lr10</italic> is conserved in grass species with similarities to <italic>RPM1</italic> in <italic>A. thaliana.</italic> Most <italic>T. monococcum</italic> accessions (84%) show a high level of resistance in contrast to most <italic>T. boeoticum</italic> accessions, including the partially susceptible <italic>T. boeoticum</italic> accession 36554 (<xref ref-type="bibr" rid="B3">Anker et&#xa0;al., 2001</xref>).</p>
<p>
<xref ref-type="bibr" rid="B21">Hussien et&#xa0;al. (1997)</xref> analyzed three leaf rust resistances derived from <italic>T. monococcum</italic>, but did not identify their respective genetic positions. Two of them, <italic>Lr63</italic> and <italic>LrTM16</italic>, were mapped on chromosome 3A and 2A in <italic>T. monococcum</italic> so far (<xref ref-type="bibr" rid="B55">Sodkiewicz et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B44">Noweiska et&#xa0;al., 2022</xref>). Loci associated to leaf rust resistances on chromosome 5A were identified in wheat based on the Bavarian MAGIC wheat (BMW) population (QLr.jki-5A.1; QLr.cim-5AC, <xref ref-type="bibr" rid="B49">Rollar et&#xa0;al., 2021</xref>), in a DH population derived from the Canadian wheat cultivar Carberry (<xref ref-type="bibr" rid="B6">Bokore et&#xa0;al., 2021</xref>) and the cultivar Lillian (<xref ref-type="bibr" rid="B5">Bokore et&#xa0;al., 2023</xref>). Remarkably, these QTLs explain only a low level of phenotypic variance with regard to the resistance level. Furthermore, they are either effective at the seedling or adult plant stage. In contrast to that, the resistance in Pi272560 is effective at all developmental stages (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). To our best knowledge, no resistance with such a high efficiency was described on chromosome 5A so far. To understand the background of the prehaustorial leaf rust resistance of <italic>T. monococcum</italic> accessions, the development of fungal structures was analyzed (<xref ref-type="bibr" rid="B22">Jacobs et&#xa0;al., 1996</xref>). Expression studies and microscopical analyses have been performed in different studies (<xref ref-type="bibr" rid="B3">Anker et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B50">S&#xe1;nchez-Mart&#xed;n et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>). Recognition of the pathogen by resistant accessions and first defense reactions based on hydrogen peroxide accumulation and antifungal compounds could already be observed 6 hai, so that the generation of hmc, haustoria, hyphae, and pustules was inhibited (<xref ref-type="bibr" rid="B3">Anker et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>). The number of hmc at 72 hai and rating data from the F<sub>2</sub> genotypes showed right-skewed or binominal distribution but no segregation known for a single gene in the background. Furthermore, due to a possible nonhost resistance of <italic>T. monococcum</italic> to wheat leaf rust, an identification of different loci from both parents was expected since 36554 turned out to be partially resistant against <italic>P. triticina</italic> as well (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>).</p>
<p>A QTL analysis was performed to identify the effects of both genotypes on the segregating F<sub>2</sub> population. The comparison of parental lines during the first 24 hai revealed a complex defense reaction comprising various mechanisms leading to an inhibition of the infection process. In accordance with previous studies of the host&#x2013;pathogen interaction, a higher expression of genes known to be involved in the reaction to leaf rust could be observed. The comparison of the PI272560 and 36554 transcriptome showed clearly that pathogenesis-related genes such as Pr1, &#x3b2;-1,3-glucanases (Pr2), chitinases (Pr3), peroxidases (Pr9), and other Pr-genes were significantly more expressed in PI272560 after inoculation with wheat leaf rust (<xref ref-type="supplementary-material" rid="SM7">
<bold>Table S7</bold>
</xref>, <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>). Remarkably, however, these genes are not located within the corresponding genomic interval (<xref ref-type="bibr" rid="B36">Ling et&#xa0;al., 2018</xref>) of the QTLs detected in the course of our study (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Hence, transcriptome analysis provided information regarding the different expressions of genes but not necessarily about the actual resistance gene in the background of an effective (prehaustorial) resistance.</p>
<p>Such a resistance includes an early onset of hypersensitive response (HR), which could be triggered by genes involved in upstream metabolic processes. This study aimed to combine a MACE approach with the construction of genetic mapping and QTL detection to identify the actual candidate genes for the observed resistance against leaf rust. As expected from the partial resistance of accession 36554, a minor QTL of accession 36554 was identified on chromosome 7A (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>), resulting in a reduced number of hmc 48 hai (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). However, this QTL is of limited importance as it has no impact on pustule development (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2F</bold>
</xref>). One reason is most likely the host specificity of leaf rust to wheat, while <italic>T. monococcum</italic> is almost a nonhost for <italic>P. triticina</italic> (<xref ref-type="bibr" rid="B13">Dracatos et&#xa0;al., 2018</xref>).</p>
<p>Complex defense reactions could be observed shortly after the inoculation with leaf rust together with a high number of differentially expressed genes. According to our results, in a nonhost reaction of wheat to barley leaf rust, <xref ref-type="bibr" rid="B12">Delventhal et&#xa0;al. (2017)</xref> could detect 2,498 differentially expressed genes, while <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al. (2016)</xref> could identify 311 different defense-related genes. However, these findings offer an overview of the entire transcriptome after infection and do not narrow down regions of the genome where genes are linked to the resistance response. Consequently, an F<sub>2</sub> population of 182 F<sub>2</sub> plants segregating for the hmc generation 48 and 72 hai and a visual rating are suitable to detect QTL resistance.</p>
<p>Remarkably, one QTL that could be detected on chromosome 5A from PI272560 (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>) appears to have a major effect on the resistance level (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). This effect was confirmed within the three different maps and phenotypic data, the hmc (72 hai), and rating data (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). It is conceivable that owing to the recessive nature of the resistance (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>), the QTL was detected more clearly in the map showing dominant 36554 markers (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>) and not in the PI272560 map since repulsion effects of the recessive alleles, within the QTL and the dominant PI272560 markers, might have hampered the QTL identification. Interestingly, the QTL explains the reduced hmc generation of approximately 26% of the phenotypic variance (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). However, almost all&#x2014;49 of 50 plants&#x2014;were homozygous for the PI272560 allele of the marker SNP_1364455 and showed phr (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). The QTLs&#x2019; percentage of explained variance (P.E.V.) was likely underestimated because genotypes, being homozygous for the 36554 allele of marker SNP_1364455, were not clearly susceptible (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). We know that 36554 is not completely susceptible to <italic>P. triticina</italic> (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>); thus, this observation is unsurprising. However, the underestimation of the P.E.V. value in this study is a useful example of how the actual effect of a QTL is determined depending on the parent&#x2019;s resistance properties.</p>
<p>The identification of the QTL region on chromosome 5A reduced the number of possible candidate genes to 217. After the selection of exclusively expressed tags (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>) only six genes are related to defense responses to biotic stress. From these genes, one, coding for a microtubule binding protein (exclusively expressed in PI272560), is known to be involved in hypersensitive response including an accumulation of hydrogen peroxide in an incompatible interaction between wheat and wheat stripe rust (<xref ref-type="bibr" rid="B59">Wang et&#xa0;al., 2016</xref>).</p>
<p>The highest tpm could be detected constitutively in 36554 expressed uncharacterized protein with unknown function. Other genes, for instance, coding for a Wall-associated receptor kinase 3 are described as activators of signal cascades and have been identified as involved in leaf rust resistance comparable to APR. Hence, a significant impact on resistance at the seedling stage could not be expected in our investigation. Finally, the greatest differences in expression could be observed between the parental genotypes for an AT-hook motif nuclear-localized protein 10, which was 25.2 times higher expressed in 36554 and a BBE, which was 95.9 times higher expressed in PI272560 at 8 hai than in 36554 (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f6">
<bold>6</bold>
</xref>).</p>
<p>BBEs belong to the flavin-dependent oxidoreductases and are described as enzymes that can interact with damage-associated molecular pattern (DAMP) and initiate hypersensitive reactions (<xref ref-type="bibr" rid="B37">Locci et&#xa0;al., 2019</xref>). <xref ref-type="bibr" rid="B10">Daniel et&#xa0;al. (2017)</xref> termed BBEs in <italic>A. thaliana</italic> a &#x201c;treasure trove of oxidative reactions&#x201d;. A higher expression of BBE was also observed in a nonhost response of barley to wheat powdery mildew (<xref ref-type="bibr" rid="B1">Andrzejczak et&#xa0;al., 2020</xref>). In the case of the coffee <italic>Hemileia vastatrix</italic> (coffee rust) interaction, this enzyme could be identified as a biomarker for the initial phr against the fungus (<xref ref-type="bibr" rid="B17">Guerra-Guimar&#xe3;es et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B54">Silva et&#xa0;al., 2022</xref>). According to the results of <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al. (2016)</xref>, during the <italic>T. monococcum</italic>&#x2013;wheat leaf rust interaction, as a defense reaction within the first 24 hai in coffee, increased peroxidase activity and PR-like proteins, for instance, chitinases, were detected. The BBE might initiate and trigger hypersensitive cell death, as observed by <xref ref-type="bibr" rid="B51">Serfling et&#xa0;al. (2016)</xref>. The early time of higher expression could also explain the phr with a strongly reduced number of haustorial mother cells in resistant genotypes of the F<sub>2</sub> population (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;C</bold>
</xref>).</p>
<p>Hence, the BBE could be one key enzyme for the basal defense response (<xref ref-type="bibr" rid="B17">Guerra-Guimar&#xe3;es et&#xa0;al., 2015</xref>), but is also an important enzyme in (nearly) nonhost resistance (<xref ref-type="bibr" rid="B1">Andrzejczak et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B60">Wan et&#xa0;al., 2021</xref>). As already mentioned by <xref ref-type="bibr" rid="B3">Anker et&#xa0;al. (2001)</xref>, <italic>T. monococcum</italic> phenotypically shows almost nonhost resistance to wheat leaf rust. A typical sign of nonhost resistance to leaf rust is an early start of effective resistance reactions before the formation of the haustorium (<xref ref-type="bibr" rid="B3">Anker et&#xa0;al., 2001</xref>). In accession PI272560, such reactions and no haustoria could be observed (<xref ref-type="bibr" rid="B51">Serfling et&#xa0;al., 2016</xref>), but a BBE could not be detected in the study due to the restriction to specific gene ontology terms. To find suitable markers and detect genes in the background of the phr, a segregating population is a prerequisite. If molecular-assisted selection (MAS), for example, the SNP marker SNP_1364455, could be applied to transmit the resistance of PI272560 in current wheat elite varieties, this would be a possibility to establish a potential nonhost resistance with very long persistence and race independence. Examples of successful alien gene transmission of resistance genes into wheat are, for instance, the stem rust resistance genes <italic>Sr21, Sr22</italic> (<xref ref-type="bibr" rid="B57">The, 1973</xref>), <italic>Sr35</italic> (<xref ref-type="bibr" rid="B39">McIntosh et&#xa0;al., 1995</xref>), a leaf rust resistance (<xref ref-type="bibr" rid="B21">Hussien et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B3">Anker et&#xa0;al., 2001</xref>), and the powdery mildew resistance gene <italic>PmTmb</italic> (<xref ref-type="bibr" rid="B53">Shi et&#xa0;al., 1998</xref>).</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>MD and AS established the plant material, performed the experiments, and wrote the manuscript. AS and FO conceived the basic idea of this research project and helped to improve the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="sA" sec-type="funding-information">
<title>Funding</title>
<p>This work was financially supported by the Deutsche Forschungsgemeinschaft (DFG) under the project number OR72/6-1.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would especially like to thank Nico Pastor-K&#xe4;ppner for evaluating the experiments.</p>
</ack>
<sec id="s7" sec-type="COI-statement">
<title>Conflict of interest</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.</p>
</sec>
<sec id="s8" 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="s9" 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.2023.1252123/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2023.1252123/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_3.docx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_4.xlsx" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_5.xlsx" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_6.xlsx" id="SM6" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_7.xlsx" id="SM7" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>Hai, hours after inoculation; MACE, massive analysis of cDNA ends; DArT, Diversity Arrays Technology; TKW, thousand kernel weight; DAB, diaminobenzidine; P.E.V., percentage of explained variance; DAMP, damage-associated molecular pattern; MAS, molecular-assisted selection; HR, hypersensitive response; dai, days after inoculation.</p>
</fn>
</fn-group>
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