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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
</journal-title-group>
<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.2025.1729594</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Hexaploid-bridged introgression broadens genetic diversity and enriches clubroot-resistance alleles in <italic>Brassica juncea</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wu</surname><given-names>Yongzhi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Liao</surname><given-names>Jingyan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Deng</surname><given-names>Yinquan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Ce</surname><given-names>Fuquan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Bai</surname><given-names>Peng</given-names></name>
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<contrib contrib-type="author">
<name><surname>Peng</surname><given-names>Lisha</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Xingxing</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<name><surname>Wan</surname><given-names>Yi</given-names></name>
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<name><surname>Qian</surname><given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Mei</surname><given-names>Jiaqin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Chongqing Technology Innovation Center of Breeding, Southwest University</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Academy of Agricultural Sciences, Southwest University</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Changshou District Agricultural Technology and Scientific Research Service Center</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Southeast Chongqing Academy of Agricultural Sciences</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff6"><label>6</label><institution>Fuling Academy of Southwest University</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff7"><label>7</label><institution>Shudu Middle School</institution>, <city>Chongqing</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Jiaqin Mei, <email xlink:href="mailto:jiaqinmay@163.com">jiaqinmay@163.com</email></corresp>
<fn fn-type="other" id="fn003">
<label>&#x2020;</label>
<p>ORCID: Jiaqin Mei, <uri xlink:href="https://orcid.org/0000-0001-6667-7258">orcid.org/0000-0001-6667-7258</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-22">
<day>22</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1729594</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>13</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Wu, Liao, Deng, Ce, Bai, Peng, Zhang, Wan, Qian and Mei.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Wu, Liao, Deng, Ce, Bai, Peng, Zhang, Wan, Qian and Mei</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-22">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>The narrow genetic base of current <italic>Brassica juncea</italic> (AABB) has limited the genetic improvement of this crop.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this study, we developed novel germplasm by crossing synthetic hexaploid bridge lines (AABBBB and AAAABB) with diploid progenitors <italic>B.&#xa0;rapa</italic>&#xa0;(AA) and <italic>B. nigra</italic> (BB), followed by successive selfing and marker-assisted selection.</p>
</sec>
<sec>
<title>Results and Discussion</title>
<p>Although the F1 hybrids exhibited wide variation in fertility and morphology, these traits stabilized at levels comparable to current <italic>B.&#xa0;juncea</italic> by the F2 and F3 generations. Whole-genome resequencing confirmed that the new-type lines not only constitute a unique genetic group but also show a genomic shift toward the current <italic>B. juncea</italic> cluster in the F2 populations. Consequently, these new-type lines represent a significant new source of genetic diversity. As a practical application, we introgressed clubroot resistance from the European fodder turnip ECD04 (<italic>B. rapa</italic>) into <italic>B. juncea</italic> using the hexaploid bridge strategy coupled with MAS. Over four selection cycles (F2 to F5), the donor allele frequency surged from 31.3% to 54.4%, showing a strong negative correlation with disease severity (r = -0.98) and yielding highly resistant F5 lines.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This study demonstrates that the hexaploid bridge strategy enables rapid genetic base broadening and efficient trait improvement in <italic>B. juncea</italic>.</p>
</sec>
</abstract>
<kwd-group>
<kwd>clubroot resistance</kwd>
<kwd>genetic introgression</kwd>
<kwd>hexaploid bridge</kwd>
<kwd>marker-assisted selection</kwd>
<kwd>new-type Brassica juncea</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Southwest University Fuling Academy Joint Construction Project (FLYJY202405), National Key R&amp;D Program (2023YFD1201402) and Modern Pioneer District and County Project of Agricultural Science and Technology in Fuling of Chongqing (Modern Biotechnology Breeding of Mustard).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="2"/>
<ref-count count="29"/>
<page-count count="10"/>
<word-count count="4918"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Plant Breeding</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p><italic>Brassica juncea</italic> (<italic>B. juncea</italic>, AABB, 2n = 36), an amphidiploid species originating from natural hybridization between the diploid progenitors <italic>Brassica nigra</italic> (<italic>B. nigra</italic>, BB, 2n = 16) and <italic>Brassica rapa</italic> (<italic>B. rapa</italic>, AA, 2n = 20) and spontaneous chromosome doubling (<xref ref-type="bibr" rid="B10">Kang et&#xa0;al., 2021</xref>). It is widely cultivated as a multipurpose crop for oilseed, vegetable, and condiment production (<xref ref-type="bibr" rid="B22">Tian and Deng, 2020</xref>). This species is valued for its high adaptability to abiotic stresses, including drought (<xref ref-type="bibr" rid="B3">Chen et al., 2013b</xref>), salinity, and pod-shattering resistance (<xref ref-type="bibr" rid="B20">Rahman et&#xa0;al., 2022</xref>). These attributes make it well-suited for cultivation in marginal environments (<xref ref-type="bibr" rid="B12">Limbalkar et&#xa0;al., 2021</xref>). However, compared to its diploid progenitors, the genetic base of cultivated <italic>B. juncea</italic> remains narrow (<xref ref-type="bibr" rid="B7">Hittorf et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B28">Zhang et&#xa0;al., 2022</xref>), limiting its potential for further genetic improvement through conventional breeding (<xref ref-type="bibr" rid="B21">Singh et&#xa0;al., 2022</xref>).</p>
<p>Traditional approaches for gene introgression from diploid progenitors into <italic>B. juncea</italic>, such as direct hybridization between <italic>B. rapa</italic> and <italic>B. nigra</italic>, are hindered by strong pre- and post-zygotic reproductive barriers, including hybrid sterility and embryo abortion, often necessitating embryo rescue with low success rates (<xref ref-type="bibr" rid="B13">Liu et&#xa0;al., 2018</xref>). Moreover, backcrossing resistance genes from <italic>B. rapa</italic> into <italic>B. juncea</italic> is labor-intensive and time-consuming, typically requiring six to eight generations to achieve sufficient recovery of the recipient genome (<xref ref-type="bibr" rid="B29">Zhu et&#xa0;al., 2022</xref>). To overcome these limitations, hexaploid bridge lines with the AABBBB or AAAABB genome, developed from crosses of <italic>B. juncea</italic> with <italic>B. rapa</italic> or <italic>B. nigra</italic>, have demonstrated enhanced crossability with the other diploid progenitor and exhibited stable fertility (&gt; 90% pollen viability and 2&#x2013;4 seeds per pod) from the S1 to S3 generation, enabling efficient introgression of alleles from diploid progenitors into <italic>B. juncea</italic> under field conditions (<xref ref-type="bibr" rid="B17">Mei et&#xa0;al., 2022</xref>).</p>
<p>Although the synthetic hexaploid bridge strategy has demonstrated potential for introducing exotic genomic segments into <italic>B. juncea</italic> (<xref ref-type="bibr" rid="B17">Mei et&#xa0;al., 2022</xref>), the fate of these segments under continuous selfing remains poorly understood, particularly regarding fertility restoration, phenotypic stabilization, and genomic composition across generations (<xref ref-type="bibr" rid="B27">Yang et&#xa0;al., 2022a</xref>). It is well known that early-generation interspecific hybrids often suffer from meiotic abnormalities, including multivalent formation and genome loss, leading to compromised fertility (<xref ref-type="bibr" rid="B25">Xiong et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B5">Gaeta et&#xa0;al., 2007</xref>). Whether fertility and phenotypic stability can be restored in subsequent generations is critical to the practical utility of this strategy.</p>
<p>In addition to broadening genetic variation, the hexaploid bridge also offers a foundation for developing novel germplasm with key agronomic traits such as resistance to clubroot disease (caused by <italic>Plasmodiophora brassicae</italic>), which is absent in the current <italic>B. juncea</italic> gene pool but present in <italic>B. rapa</italic>. European fodder turnip ECD04 is a well-known <italic>B. rapa</italic> line that carrying multiple CR loci and exhibits strong resistance to several <italic>Plasmodiophora brassicae</italic> races (<xref ref-type="bibr" rid="B26">Yang et&#xa0;al., 2022b</xref>). To systematically introgress these CR genes from ECD04 into the <italic>B. juncea</italic> background, marker-assisted selection (MAS) offers a viable approach for tracking and enriching desirable resistance alleles in early generations (<xref ref-type="bibr" rid="B24">Tomita et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B4">Dakouri et&#xa0;al., 2013</xref>). However, the efficiency of this combined strategy by using MAS within a hexaploid-derived population to rapidly increase resistance allele dosage and achieve effective phenotypic resistance has not been evaluated.</p>
<p>To address these questions, we developed a population of new-type <italic>B. juncea</italic> by employing the hexaploid bridge strategy and advanced it through successive selfing generations. Our study aimed to (i) track fertility restoration over selfing generations, (ii) analyze phenotypic and genomic dynamics, and (iii) demonstrate practical trait improvement by introgressing CR from ECD04 into the <italic>B. juncea</italic> background via MAS. This work not only establishes the hexaploid bridge as an efficient strategy to diversify the <italic>B. juncea</italic> gene pool, but also provides a novel and diverse germplasm resource for <italic>B. juncea</italic> breeding.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Plant materials</title>
<p>An effective strategy in developing <italic>B. juncea</italic>-type hybrids, i.e., the hexaploid bridging strategy was developed in our previous study (<xref ref-type="bibr" rid="B17">Mei et&#xa0;al., 2022</xref>) and employed in the present study to generate new-type <italic>B. juncea</italic> germplasm. In brief, 32 <italic>B. nigra</italic> accessions were randomly cross-pollinated with three A<sup>j</sup>A<sup>j</sup>A<sup>r</sup>A<sup>r</sup>B<sup>j</sup>B<sup>j</sup> hexaploid genotypes (designated MS2, MS3 and MS4) to produce A<sup>j</sup>A<sup>r</sup>B<sup>n</sup>B<sup>j</sup>-type F<sub>1</sub> hybrids, and 20 <italic>B. rapa</italic> accessions were crossed with one A<sup>j</sup>A<sup>j</sup>B<sup>j</sup>B<sup>j</sup>B<sup>n</sup>B<sup>n</sup> (designated MS6) hexaploid to produce A<sup>j</sup>A<sup>r</sup>B<sup>n</sup>B<sup>j</sup>-type F<sub>1</sub> hybrids. Resultant F<sub>1</sub> hybrids were self-pollinated to produce F<sub>2</sub>, F<sub>3</sub> and other generations. From the above <italic>B. rapa</italic> panel, the European fodder turnip ECD04 (AA) &#x2014; a known donor harboring multiple resistance genes against <italic>Plasmodiophora brassicae</italic> &#x2014; was specifically crossed with the hexaploid bridge line MS6 to initiate CR gene transfer. Phenotypic observations (e.g., leaf morphology) and imaging were conducted concurrently at designated growth stages (e.g., seedling stage) to ensure direct comparability across all genotypes. Fertility was assessed by counting the number of seeds per pod from 30 consecutive pods collected from the primary inflorescence of each plant. All materials, including the parental lines (<italic>B. nigra</italic>, <italic>B. rapa</italic>, hexaploids MS2-MS6 and ECD04), the derived new-type lines (F<sub>1</sub>&#x2013;F<sub>5</sub>), and ten control accessions of current <italic>B. juncea</italic> (vegetable and oil types) from Southwest University (SWU), were sown and transplanted on the same dates in the experimental field at SWU. A uniform planting design was maintained with 30 cm between rows and 25 cm within rows. Detailed information for all accessions and crosses is provided in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Genome resequencing and data analysis</title>
<p>To understand the genetic characteristic of new-type <italic>B. juncea</italic> germplasm, 61 new-type <italic>B. juncea</italic> individuals were randomly selected from the F<sub>1</sub> and F<sub>2</sub> generations for whole-genome resequencing, together with 20 <italic>B. nigra</italic> parents, the four hexaploid parents, three <italic>B. rapa</italic> parents, and ten current <italic>B. juncea</italic> accessions. Young leaf samples from these materials were submitted to Wuhan Benagen Biotech Co., Ltd. for whole-genome resequencing using BGISEQ-500. Sequencing yielded an average depth ranging from 9.3&#xd7; to 16.6&#xd7; per sample. Following whole-genome resequencing, the genomic sequence data were subjected to quality assessment and filtering using fastp, which included: removal of adapter sequences, trimming of poly G and poly X tails from reads, discarding reads containing more than 5 N bases, removing reads in which the proportion of bases with quality scores below 15 exceeded 40%, eliminating reads with an average base quality score lower than 20, and discarding reads shorter than 50 bp after filtering.</p>
<p>Clean reads were aligned to the reference genome of <italic>B. juncea</italic> (<italic>BjuIR: Brassica juncea</italic> information resource) using BWA. Variants were called using Genome Analysis Toolkit (<ext-link ext-link-type="uri" xlink:href="https://wiki.rc.usf.edu/index.php/Genome_Analysis_ToolKit_GATK">https://wiki.rc.usf.edu/index.php/Genome_Analysis_ToolKit_GATK</ext-link>), with SNPs and InDels filtered based on specific criteria. Genetic distances among materials were calculated based on the SNPs and InDels using Powermarker V 3.25 (<ext-link ext-link-type="uri" xlink:href="https://brcwebportal.cos.ncsu.edu/powermarker/">https://brcwebportal.cos.ncsu.edu/powermarker/</ext-link>). Phylogenetic trees were constructed using MEGA software (<ext-link ext-link-type="uri" xlink:href="https://www.megasoftware.net/">https://www.megasoftware.net/</ext-link>), and principal component analysis (PCA) was performed using Rstudio.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>DNA extraction</title>
<p>Genomic DNA was isolated from fresh young leaf tissues of all plant materials using a modified cetyltrimethylammonium bromide (CTAB) method. Approximately 100 mg of tissue was ground in liquid nitrogen and incubated in pre-warmed CTAB extraction buffer at 65 &#xb0;C for 45 min. After chloroform: isoamyl alcohol (24:1) extraction, DNA was precipitated with isopropanol, washed with 70% ethanol, and dissolved in nuclease-free water. DNA concentration and quality were assessed using a NanoDrop spectrophotometer and agarose gel electrophoresis.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Marker-assisted selection</title>
<p>To track the introgression of CR genes, genotyping was performed using four PCR-based markers (<xref ref-type="bibr" rid="B19">Powell et al., 1996</xref>): CR-m090a (linked to PbBa8.1), CR-BSA3 (linked to PbBa1.1), and CR-S14R14 and CR-S17R17 (both linked to BraA.CR.b) (<xref ref-type="bibr" rid="B1">Chen et al., 2013a</xref>; <xref ref-type="bibr" rid="B6">Hirani et&#xa0;al., 2018</xref>; primer sequences in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>). All F2 individuals from the cross MS6 &#xd7; ECD04 were screened using these markers, and those carrying the maximum number of ECD04-specific alleles were self-pollinated Selection was carried out in subsequent generations (F3 to F5) by genotyping ten plants per line with the same markers. PCR was carried out in 10 &#xb5;L reactions containing approximately 50 ng genomic DNA, 0.5 &#xb5;L each of forward and reverse primer (10 &#xb5;M), 5 &#xb5;L of 2&#xd7; PCR Master Mix (Vazyme, China), and nuclease-free water to volume. The thermal cycling conditions were as follows: initial denaturation at 94 &#xb0;C for 5 min; 10 cycles of touchdown PCR (94 &#xb0;C for 30 s, annealing from 62 &#xb0;C to 57 &#xb0;C decreasing by 0.5 &#xb0;C per cycle for 30 s, 72 &#xb0;C for 30 s); followed by 25 cycles of standard PCR (94 &#xb0;C for 30 s, 55 &#xb0;C for 30 s, 72 &#xb0;C for 30 s); and a final extension at 72 &#xb0;C for 5 min. Reactions were held at 16 &#xb0;C post-amplification. The products were separated by electrophoresis on a 2% agarose gel. Clear bands exceeding the background intensity were scored as 1 (presence of the resistance allele), while faint or absent bands were scored as 0. The ECD04 allele frequency (AF, %) was calculated as.</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mi>A</mml:mi><mml:mi>F</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi>N</mml:mi><mml:mi>p</mml:mi></mml:mrow><mml:mrow><mml:mi>N</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mfrac><mml:mo>&#xd7;</mml:mo><mml:mn>100</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math>
</disp-formula>
<p>where Np indicates the number of plants identified as positive for the molecular marker, and Nt represents the total number of plants assayed. The line graph depicting ECD04 allele frequencies for each marker was generated using GraphPad Prism.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Clubroot resistance evaluation</title>
<p>To evaluate clubroot resistance, the plants were inoculated with Plasmodiophora brassicae race 4 using the injection method in lab (<xref ref-type="bibr" rid="B9">Jubault et&#xa0;al., 2013</xref>) under controlled conditions (22&#x2013;25 &#xb0;C, 60% relative humidity). Three replicates were set up for each tested line, with 30 seeds sown per replicate. Disease incidence (DI) and severity were assessed 42 days post-inoculation. Based on root symptoms and gall size, disease severity was classified on a 0&#x2013;4 scale (<xref ref-type="bibr" rid="B2">Chen et&#xa0;al., 2021</xref>), with 0 indicating no symptoms and 4 representing the most severe root deformation. The DI was calculated as follows (<xref ref-type="bibr" rid="B14">Ludwig-M&#xfc;ller et&#xa0;al., 2017</xref>):</p>
<disp-formula>
<mml:math display="block" id="M2"><mml:mrow><mml:mi>D</mml:mi><mml:mi>I</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mn>1</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>N</mml:mi><mml:mn>1</mml:mn><mml:mo>+</mml:mo><mml:mn>2</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>N</mml:mi><mml:mn>2</mml:mn><mml:mo>+</mml:mo><mml:mn>3</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>N</mml:mi><mml:mn>3</mml:mn><mml:mo>+</mml:mo><mml:mn>4</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>N</mml:mi><mml:mn>4</mml:mn></mml:mrow><mml:mrow><mml:mn>4</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>N</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mfrac><mml:mo>&#xd7;</mml:mo><mml:mn>100</mml:mn></mml:mrow></mml:math>
</disp-formula>
<p>where N1-N4 indicate the number of plants in each disease severity category, and Nt represents the total number of inoculated plants. The correlation between the DI and the ECD04 AF was calculated and graphically presented using GraphPad Prism.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Result</title>
<sec id="s3_1">
<label>3.1</label>
<title>Fertility characteristics of new-type <italic>B. juncea</italic></title>
<p>Through hybridization between hexaploids and diploids, followed by successive selfing, we developed 180 new-type <italic>B. juncea</italic> lines, comprising 76 F<sub>1</sub> hybrids (from direct crosses), 104 advanced selfing lines (46 F<sub>2</sub>, 26 F<sub>3</sub>, 23 F<sub>4</sub> and 9 F<sub>5</sub> generation). To evaluate the fertility of the new-type <italic>B. juncea</italic> lines, we quantified the seed set rate, measured as seeds per pod, for the F<sub>1</sub>, F<sub>2</sub>, and F<sub>3</sub> generations. Statistical analysis across various generations (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>) revealed that in the F<sub>1</sub> and F<sub>2</sub> generations, hybrids derived from MS2, MS3, and MS4 (A<sup>j</sup>A<sup>j</sup>A<sup>r</sup>A<sup>r</sup>B<sup>j</sup>B<sup>j</sup>) exhibited higher seed set rate compared to those derived from MS6 (A<sup>j</sup>A<sup>j</sup>B<sup>j</sup>B<sup>j</sup>B<sup>n</sup>B<sup>n</sup>), suggesting that the different hybridization combinations significantly affect the fertility of hybrids, i.e., the cross of hexaploid A<sup>j</sup>A<sup>j</sup>A<sup>r</sup>A<sup>r</sup>B<sup>j</sup>B<sup>j</sup> with <italic>B. nigra</italic> is easier to produce hybrids with better fertility in early generations than the cross between hexaploid A<sup>j</sup>A<sup>j</sup>B<sup>j</sup>B<sup>j</sup>B<sup>n</sup>B<sup>n</sup> and <italic>B. rapa</italic>. More importantly, the data demonstrated that the seed set rate of the hybrids significantly improved with successive generations, particularly noticeable in the hybrids derived from MS6. This indicates that successive selfing can effectively enhance the fertility of all hybrids, regardless of whether they are hybrids of A<sup>j</sup>A<sup>j</sup>A<sup>r</sup>A<sup>r</sup>B<sup>j</sup>B<sup>j</sup> &#xd7; A<sup>r</sup>A<sup>r</sup> or A<sup>j</sup>A<sup>j</sup>B<sup>j</sup>B<sup>j</sup>B<sup>n</sup>B<sup>n</sup> &#xd7; B<sup>n</sup>B<sup>n</sup>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Variation in seeds per pod and phenotypic traits in F<sub>1</sub>, F<sub>2</sub>, and F<sub>3</sub> new-type <italic>B . juncea</italic>. Different letters above bars indicate significant difference at <italic>p</italic> &lt; 0.05. Images show the variation in leaf shape and color of new-type <italic>B . juncea</italic>; bars =10 cm. <bold>(A)</bold> Seeds per pod in F<sub>1</sub>, F<sub>2</sub>, and F<sub>3</sub> derived from crosses with different hexaploid parents. MS2 (A<sup>j</sup>A<sup>j</sup>A<sup>r</sup>A<sup>r</sup>B<sup>j</sup>B<sup>j</sup>), MS3 (A<sup>j</sup>A<sup>j</sup>A<sup>r</sup>A<sup>r</sup>B<sup>j</sup>B<sup>j</sup>), MS4 (A<sup>j</sup>A<sup>j</sup>A<sup>r</sup>A<sup>r</sup>B<sup>j</sup>B<sup>j</sup>) and MS6 (A<sup>j</sup>A<sup>j</sup>B<sup>j</sup>B<sup>j</sup>B<sup>n</sup>B<sup>n</sup>) denote the specific hexaploid parent used in each cross combination. <bold>(B-E)</bold> Phenotypic traits in F<sub>1</sub> plants (images are derived from <xref ref-type="bibr" rid="B17">Mei et&#xa0;al., 2022</xref>). <bold>(F, G)</bold> Additional examples of phenotypic traits in F<sub>1</sub> plants (newly developed in this study). The F<sub>1</sub> plants of the new-type <italic>B . juncea</italic> exhibited distinct morphological characteristics, including leaf trichomes and purple venation (Figures F) as well as pinnately lobed leaves with prominent venation . <bold>(G-J)</bold> Phenotypic traits in F<sub>2</sub> plants. In the F<sub>2</sub> generation, typical F<sub>1</sub> traits such as trichomes and serrated leaf margins became less pronounced. <bold>(K-M)</bold> Phenotypic traits in F<sub>3</sub> plants. By the F<sub>3</sub> generation, a subset of plants converged morphologically toward existing cultivated <italic>B . juncea</italic> types <bold>(K , L)</bold>, while some materials retained the leaf glossiness characteristic of <italic>B . rapa</italic><bold>(M)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1729594-g001.tif">
<alt-text content-type="machine-generated">The image features a comparison of seed production in three generations (F1, F2, F3) of new-type Brassica juncea derived from existing B. juncea. Box plots in the top row display seeds per pod for each generation, with marked differences among variants MS2, MS3, MS4, MS6, and the current type. The bottom row consists of labeled photographs (B to M) showcasing different Brassica juncea plants. Each plant displays varying leaf structures and growth characteristics, illustrating the diversity within the new-type and current B. juncea specimens.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Phenotypic diversity of new-type <italic>B. juncea</italic></title>
<p>Consistent with fertility restoration, the new-type <italic>B. juncea</italic> lines showed dynamic morphological changes from the F<sub>1</sub> to F<sub>3</sub> generations (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1B-M</bold></xref>). The F<sub>1</sub> plants exhibited considerable phenotypic variation, including pinnately lobed leaves, leaf trichomes, purple venation and stem, and prominent venation. In the F<sub>2</sub> generation, while phenotypic variation persisted, a few plants began to converge toward current <italic>B. juncea</italic> traits, with certain F<sub>1</sub> features such as trichomes and serrated leaf margins becoming less distinct. By the F<sub>3</sub> generation, some plants clearly converged toward the morphology of current <italic>B. juncea</italic> cultivars. These morphological changes demonstrate that successive selfing generations enabled the selection of plants with a high degree of phenotypic identity to current <italic>B. juncea</italic> from the new-type lines.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Genetic diversity of new-type <italic>B. juncea</italic></title>
<p>The observed convergence in both fertility and phenotype suggested underlying genetic changes. To elucidate the genetic characteristics of the new-type <italic>B. juncea</italic>, whole-genome resequencing was conducted on the 61 new-type <italic>B. juncea</italic> lines (24 F<sub>1</sub> and 37 F<sub>2</sub>), alongside 23 parental <italic>B. rapa</italic> and <italic>B. nigra</italic> accessions, 10 current <italic>B. juncea</italic> accessions (including vegetative and oilseed types), and four hexaploid parents. After strict filtering, 24.6 million high-confidence SNPs and small indels were retained, spanning the A and B sub-genomes, with a mean density of 1.36 million variants per chromosome.</p>
<p>As revealed by phylogenomic analysis (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>), both F<sub>1</sub> and F<sub>2</sub> generations exhibited substantial genetic variation as compared to current <italic>B. juncea</italic> accessions. Most F<sub>1</sub> individuals occupied a long-branch lineage diverging prior to the clade of current <italic>B. juncea</italic>, whereas F<sub>2</sub> individuals formed a paraphyletic group partially overlapping with current <italic>B. juncea</italic>. Consistent with this phylogenetic pattern, the principal component analysis separated most of the F<sub>1</sub> progeny from current <italic>B. juncea</italic> along Principal Component 1 (PC1) (19.2% of variance) and Principal Component 1 (PC2) (8.6%), while more F<sub>2</sub> individuals were notably shifted toward the current <italic>B. juncea</italic> cloud along PC1 (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Phylogenomic and principal component analysis results of F<sub>1</sub>and F<sub>2</sub> new-type <italic>B . juncea</italic>, current <italic>B . juncea</italic>, <italic>B . rapa B . nigra</italic> and hexaploid. The accessions of F<sub>1</sub>, F<sub>2,</sub> current <italic>B . juncea</italic>, <italic>B . rapa, B . nigra</italic> and hexaploids are denoted by the suffixes F<sub>1</sub>, F<sub>2,</sub> Bju, Bar, Bni and Hex, respectively. F<sub>1</sub> represented by teal, F<sub>2</sub> represented by purple, current <italic>B . jucea</italic> represented by red, <italic>B . nigra</italic> represented by blue, <italic>B . rapa</italic> represented by pink, hexaploid represented by yellow. The F<sub>1</sub> individuals are genetically distinct and scattered, while the F<sub>2</sub> individuals show a shift toward the cluster of current <italic>B. juncea</italic>. <bold>(A)</bold> Phylogenomic result; branches in different colors represent different materials. <bold>(B)</bold> Principal component analysis result; different colors and distinct shapes represent different materials. The principal components PC1 and PC2 accounted for 19.2% and 8.6% of the total variance, respectively. The confidence ellipses represent the 95% confidence intervals for the F<sub>1</sub> and F<sub>2</sub> populations.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1729594-g002.tif">
<alt-text content-type="machine-generated">Panel A displays a phylogenetic tree with various lineages differentiated by color-coded branches, labeled with specific codes. Panel B presents a principal component analysis (PCA) plot with color-coded data points representing different genetic groups, including F1, F2, current B. jucea, B. nigra, B. rapa, and hexaploids. Percentages for PC1 and PC2 axes are labeled, with ellipses indicating clustering.</alt-text>
</graphic></fig>
<p>Genetic distance (GD) analysis further quantified these relationships (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). The mean within-group GD was lowest in current <italic>B. juncea</italic> (GD<sub>Cj</sub> = 0.090), intermediate in the F<sub>2</sub> (GD<sub>F2</sub> = 0.152), and highest in the F<sub>1</sub> (GD<sub>F1</sub> = 0.168). The between-group GD to current <italic>B. juncea</italic> was slightly lower for the F<sub>2</sub> (GD<sub>F2-Cj</sub> = 0.136) than for the F<sub>1</sub> (GD<sub>F1-Cj</sub> = 0.146), suggesting that the F<sub>2</sub> lines are still markedly different from current <italic>B. juncea.</italic> However, it also suggests that genetic recombination had already produced some individuals with genomic compositions more closely aligned with current <italic>B. juncea</italic>. Collectively, these results confirm that the new-type lines constitute a unique genetic group, harboring a spectrum of diversity that includes both distinct lineages and F<sub>2</sub> individuals with genomic compositions closer to current <italic>B. juncea</italic>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>CD within and among F<sub>1</sub>and F<sub>2</sub> new-type <italic>B. juncea</italic>, current <italic>B. juncea</italic>, <italic>B. rapa B. nigra</italic> and hexaploid.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Material</th>
<th valign="middle" align="left"><italic>B. juncea</italic></th>
<th valign="middle" align="left"><italic>B. nigra</italic></th>
<th valign="middle" align="left"><italic>B. rapa</italic></th>
<th valign="middle" align="left">Hexaploid</th>
<th valign="middle" align="left">F<sub>1</sub></th>
<th valign="middle" align="left">F<sub>2</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left"><italic>B. juncea</italic></td>
<td valign="middle" align="left">0.090<break/>&#xb1; 0.024 h<sup>#</sup></td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"><italic>B. nigra</italic></td>
<td valign="middle" align="left">0.194<break/>&#xb1; 0.047 d</td>
<td valign="middle" align="left">0.238<break/>&#xb1; 0.054 b</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"><italic>B. rapa</italic></td>
<td valign="middle" align="left">0.199<break/>&#xb1; 0.006 cd</td>
<td valign="middle" align="left">0.327<break/>&#xb1; 0.009 a</td>
<td valign="middle" align="left">0.172<break/>&#xb1; 0.006 e</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Hexaploid</td>
<td valign="middle" align="left">0.153<break/>&#xb1; 0.055 f</td>
<td valign="middle" align="left">0.201<break/>&#xb1; 0.047 cd</td>
<td valign="middle" align="left">0.209<break/>&#xb1; 0.027 c</td>
<td valign="middle" align="left">0.125<break/>&#xb1; 0.022 g</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">F<sub>1</sub></td>
<td valign="middle" align="left">0.146<break/>&#xb1; 0.055 f</td>
<td valign="middle" align="left">0.217<break/>&#xb1; 0.046 c</td>
<td valign="middle" align="left">0.235<break/>&#xb1; 0.073 b</td>
<td valign="middle" align="left">0.144<break/>&#xb1; 0.052 fg</td>
<td valign="middle" align="left">0.168<break/>&#xb1; 0.063 e</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">F<sub>2</sub></td>
<td valign="middle" align="left">0.136<break/>&#xb1; 0.052 g</td>
<td valign="middle" align="left">0.212<break/>&#xb1; 0.046 c</td>
<td valign="middle" align="left">0.236<break/>&#xb1; 0.082 b</td>
<td valign="middle" align="left">0.134<break/>&#xb1; 0.048 g</td>
<td valign="middle" align="left">0.169<break/>&#xb1; 0.065 e</td>
<td valign="middle" align="left">0.152<break/>&#xb1; 0.049 f</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><sup>#</sup> Different letters following values in each column indicate significant difference at <italic>p&lt;</italic> 0.05</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Development of clubroot resistant <italic>B. juncea</italic></title>
<p>To validate the practical application value of the hexaploid bridge hybridization strategy for trait improvement, we adopted a MAS in the hybrids between 6MS6 (A<sup>j</sup>A<sup>j</sup>B<sup>j</sup>B<sup>j</sup>B<sup>n</sup>B<sup>n</sup>) with the European fodder turnip ECD04 which is well known <italic>B. rapa</italic> accession harboring multiple CR loci. Four PCR-based markers tightly linked to these CR loci were assayed in F<sub>2</sub>-F<sub>5</sub> progeny (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>), and plants carrying the highest number of ECD04-alleles were advanced to the next generation.</p>
<p>According to the four CR-linked markers (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>), a progressive enrichment was presented since the mean frequency of ECD04-alleles rose from 31.3% in the F<sub>2</sub> to 54.4% in the F<sub>5</sub>, representing a 73.8% rise over the selection period (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>). More than half of the F<sub>5</sub> families (e.g., 5G06, 5G09, 5G10, 5G11 and 5G13) retained &#x2265; 50% donor alleles, while a subset (5G16-5G19) still carried&lt; 50% ECD04 alleles (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Laboratory phenotyping for CR was carried out on F<sub>5</sub> lines with AF &#x2265; 50%, alongside parental controls. A strong negative linear correlation was observed between ECD04 AF and disease index (<italic>r</italic> = -0.98, <italic>p</italic> &lt; 0.0001; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>), indicating that the allele dosage is a reliable predictor of resistance levels.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Changes in ECD04 allele frequency (AF, %) across generations, its negative correlation with disease resistance and genotyping of the four CR-linked markers. <bold>(A)</bold> Agarose gel electrophoresis images of PCR amplification using four CR-linked markers for parental and F<sub>5</sub> individuals. M: DNA molecular weight standard. Arrows indicate the specific bands corresponding to the resistance alleles. The resistance alleles were assigned based on previously reported linkage: markers CR&#x2212;m090a and CR&#x2212;BSA3 are linked to the resistance genes <italic>PbBa8.1</italic> and <italic>PbBa1.1</italic>, respectively (<xref ref-type="bibr" rid="B1">Chen et al., 2013a</xref>); markers CR&#x2212;S14R14 and CR&#x2212;S17R17 are linked to the resistance locus <italic>BraA.CR.b</italic> (<xref ref-type="bibr" rid="B6">Hirani et&#xa0;al., 2018</xref>). The resistance&#x2212;donor parent ECD04 is a homozygous resistant accession: for markers CR&#x2212;m090a, CR&#x2212;S14R14 and CR&#x2212;S17R17 it shows only a single band (the resistance allele); for marker CR&#x2212;BSA3, although multiple bands were amplified, the arrow points to the target resistance band. Lane labels 5G06, 5G11 and 5G18 denote F<sub>5</sub> families. Each lane contains DNA from a single plant that was randomly selected from the corresponding family. <bold>(B)</bold> Changes in ECD04 AF of different markers across generations. <bold>(C)</bold> The negative linear correlation between ECD04 AF and DI; <italic>r</italic> = -0.98, <italic>p</italic> &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1729594-g003.tif">
<alt-text content-type="machine-generated">Gel electrophoresis and graph data in three panels. Panel A shows gel electrophoresis results for four groups labeled CR-m090a, CR-S17R17, CR-S14R14, and CR-BSA3 with marker lanes labeled M and numbered lanes 1 to 3, 5G06, 5G11, and 5G18. Size markers indicate resistance at 250 bp or 500 bp. Panel B displays a line graph of ECD04 AF (%) over generations F2 to F5 for groups BSA3, S14R, m090, S17R, and the mean. Panel C presents a scatter plot with a regression line showing a negative correlation between DI and ECD04 AF (%), with the equation y = -0.628x + 63.512 and R&#xb2; = 0.9792.</alt-text>
</graphic></fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Molecular markers and disease incidence statistics of clubroot in F<sub>5</sub> new-type <italic>B. juncea</italic>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Marker material</th>
<th valign="middle" align="left">BSA3</th>
<th valign="middle" align="left">S14R14</th>
<th valign="middle" align="left">m090a</th>
<th valign="middle" align="left">S17R17</th>
<th valign="middle" align="left">CR allele frequency (%)</th>
<th valign="middle" align="left">Incidence rate (%)</th>
<th valign="middle" align="left">Disease index</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Current<break/><italic>B. juncea</italic></td>
<td valign="middle" align="left">0/10<sup>*</sup></td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">100 a</td>
<td valign="middle" align="left">66.4 a<sup>#</sup></td>
</tr>
<tr>
<td valign="middle" align="left">Hexaploid MS6</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">98 a</td>
<td valign="middle" align="left">61.8 a</td>
</tr>
<tr>
<td valign="middle" align="left">ECD04</td>
<td valign="middle" align="left">10/10</td>
<td valign="middle" align="left">10/10</td>
<td valign="middle" align="left">10/10</td>
<td valign="middle" align="left">10/10</td>
<td valign="middle" align="left">100</td>
<td valign="middle" align="left">4.30 e</td>
<td valign="middle" align="left">1.90 e</td>
</tr>
<tr>
<td valign="middle" align="left">5G06</td>
<td valign="middle" align="left">3/10</td>
<td valign="middle" align="left">10/10</td>
<td valign="middle" align="left">10/10</td>
<td valign="middle" align="left">8/10</td>
<td valign="middle" align="left">77.5</td>
<td valign="middle" align="left">34.4 d</td>
<td valign="middle" align="left">11.8 d</td>
</tr>
<tr>
<td valign="middle" align="left">5G09</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">6/10</td>
<td valign="middle" align="left">7/10</td>
<td valign="middle" align="left">7/10</td>
<td valign="middle" align="left">50</td>
<td valign="middle" align="left">75.3 b</td>
<td valign="middle" align="left">31.2 b</td>
</tr>
<tr>
<td valign="middle" align="left">5G10</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">6/10</td>
<td valign="middle" align="left">8/10</td>
<td valign="middle" align="left">9/10</td>
<td valign="middle" align="left">57.5</td>
<td valign="middle" align="left">66.3 c</td>
<td valign="middle" align="left">24.7 c</td>
</tr>
<tr>
<td valign="middle" align="left">5G11</td>
<td valign="middle" align="left">5/10</td>
<td valign="middle" align="left">9/10</td>
<td valign="middle" align="left">10/10</td>
<td valign="middle" align="left">7/10</td>
<td valign="middle" align="left">77.5</td>
<td valign="middle" align="left">32 d</td>
<td valign="middle" align="left">12.5 d</td>
</tr>
<tr>
<td valign="middle" align="left">5G13</td>
<td valign="middle" align="left">6/10</td>
<td valign="middle" align="left">6/10</td>
<td valign="middle" align="left">8/10</td>
<td valign="middle" align="left">10/10</td>
<td valign="middle" align="left">75</td>
<td valign="middle" align="left">63.3 c</td>
<td valign="middle" align="left">23.1 c</td>
</tr>
<tr>
<td valign="middle" align="left">5G16</td>
<td valign="middle" align="left">2/10</td>
<td valign="middle" align="left">3/10</td>
<td valign="middle" align="left">6/10</td>
<td valign="middle" align="left">5/10</td>
<td valign="middle" align="left">40</td>
<td valign="middle" align="left"><bold>-</bold></td>
<td valign="middle" align="left"><bold>-</bold></td>
</tr>
<tr>
<td valign="middle" align="left">5G17</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">3/10</td>
<td valign="middle" align="left">3/10</td>
<td valign="middle" align="left">4/10</td>
<td valign="middle" align="left">25</td>
<td valign="middle" align="left"><bold>-</bold></td>
<td valign="middle" align="left"><bold>-</bold></td>
</tr>
<tr>
<td valign="middle" align="left">5G18</td>
<td valign="middle" align="left">6/10</td>
<td valign="middle" align="left">0/10</td>
<td valign="middle" align="left">4/10</td>
<td valign="middle" align="left">4/10</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left"><bold>-</bold></td>
<td valign="middle" align="left"><bold>-</bold></td>
</tr>
<tr>
<td valign="middle" align="left">5G19</td>
<td valign="middle" align="left">5/10</td>
<td valign="middle" align="left">1/10</td>
<td valign="middle" align="left">6/10</td>
<td valign="middle" align="left">7/10</td>
<td valign="middle" align="left">47.5</td>
<td valign="middle" align="left"><bold>-</bold></td>
<td valign="middle" align="left"><bold>-</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><sup>*</sup> Number of individual plants carrying ECD04-allele/the total plants tested</p></fn>
<fn>
<p><sup>#</sup> Different letters in each column indicate significant difference at <italic>p&lt;</italic> 0.05; &#x2018;<bold>-</bold>&#x2019; represents not tested</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Concerning the detailed resistance (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), the hexaploid parent and current <italic>B. juncea</italic> exhibited nearly 100% incidence and DI &gt; 60, whereas the resistant parent ECD04 showed near immunity (disease incidence = 4.3%, DI = 1.7). Two F<sub>5</sub> families with AF = 77.5% (5G06 and 5G11) were virtually homozygous for the target haplotype (especially markers S14R14 and m090a) and recorded the lowest DI values (11.5 and 12.5, respectively), indicating the successful introgression and concentration of ECD04-derived CR loci into the <italic>B. juncea</italic> background. Three other F<sub>5</sub> families with AF between 50% and 75% displayed moderate resistance, with DI of 23.1-31.2 and disease incidence of 63%-75%, indicating the need for further selfing to achieve full homozygosity.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Lab-inoculation results and field phenotype of F<sub>5</sub> new-type <italic>B . juncea</italic>. <bold>(A)</bold> Phenotyping of clubroot inoculation. Current <italic>B . juncea</italic> and hexaploid were susceptible controls and ECD04 served as the resistant control; inoculated with <italic>Plasmodiophora brassicae</italic> race 4 for 42 d, bar = 10 cm. <bold>(B)</bold> Disease severity grading distribution. Based on the severity of root symptoms, the disease rating scale is divided into 5 grades: grade 0 indicates no symptoms, grade 4 represents the most severe infection and different colors represent different disease grades. <bold>(C)</bold> Field phenotype of F<sub>5</sub> family 5G06 at seedling stage, bar = 10 cm.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1729594-g004.tif">
<alt-text content-type="machine-generated">Panel A shows various root samples labeled as Current B. juncea, ECD04, Hexaploid, and 5G06, 5G09, 5G10, 5G11, 5G13. Panel B is a bar chart displaying clubroot severity grading percentages across different samples mentioned in Panel A, with grades ranging from zero (no galling) to root decay. Panel C displays healthy green mustard plant leaves.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>New-type <italic>B. juncea</italic>, a novel genetic resource for <italic>B. juncea</italic> breeding</title>
<p>The strong reproductive barriers that impede traditional breeding, such as hybrid sterility and embryo abortion, have severely restricted the introgression of novel alleles from diploid progenitors into the cultivated <italic>B. juncea</italic> gene pool (<xref ref-type="bibr" rid="B13">Liu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B29">Zhu et&#xa0;al., 2022</xref>). In this study, synthetic hexaploids (AABBBB/AAAABB), proposed as a bridge for gene transfer (<xref ref-type="bibr" rid="B17">Mei et&#xa0;al., 2022</xref>), were employed successfully to achieve efficient introgression of genomic components from both progenitor species into <italic>B. juncea</italic>. The newly developed materials represent a distinct and unique gene pool, not merely a random genetic mixture.</p>
<p>Phylogenetic, principal component, and genetic distance analyses consistently demonstrated that the new-type lines, particularly the F<sub>1</sub> generation, formed a cluster separate from natural <italic>B. juncea</italic>. Although a genetic shift toward natural <italic>B. juncea</italic> was observed in the F<sub>2</sub> generation, the genetic distance between the new-type lines and natural <italic>B. juncea</italic> remained substantially larger than that within natural <italic>B. juncea</italic> itself. These lines therefore retain a unique set of alleles from the progenitor species, collectively establishing a valuable and novel genetic reservoir. This population can serve as a diverse foundation set for future gene discovery and breeding, directly addressing the issue of genetic constriction in current cultivars.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Rapid fertility restoration and genomic stabilization through selfing</title>
<p>The practical utilization of this novel gene pool first requires overcoming a common challenge in newly synthesized polyploids, i.e., meiotic instability, which often leads to reduced fertility (<xref ref-type="bibr" rid="B23">Tian et&#xa0;al., 2023</xref>). The significantly lower seeds per pod in the F<sub>1</sub> generation in our study confirmed such instability, reflecting a form of genomic shock characterized by rapid genomic reorganization in response to aberrant homologous chromosome pairing (<xref ref-type="bibr" rid="B16">McClintock, 1984</xref>; <xref ref-type="bibr" rid="B25">Xiong et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B15">Martin and Jouve, 1992</xref>). Nevertheless, the fertility was rapidly restored in subsequent generations. This recovery is consistent with a similar scenario (<xref ref-type="bibr" rid="B25">Xiong et&#xa0;al., 2011</xref>), wherein meiotic stability is gradually established through restricted homologous pairing, epigenetic silencing of conflict regions, and selective elimination of cytologically unstable lineages. Concurrently, phenotypic convergence from diploid-parent-like morphological variation in the F<sub>1</sub> to current <italic>B. juncea</italic> type traits in the F<sub>3</sub> was possibly also&#xa0;driven by recurrent selfing. The increase in homozygosity through selfing not only facilitated stable chromosome pairing but also&#xa0;purged deleterious genomic interactions, thereby accelerating the emergence of a cytologically and phenotypically stable allopolyploid.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Efficient trait introgression and a clear dosage effect of CR loci</title>
<p>Building upon this rapid stabilization, MAS was effectively applied within the complex polyploid background. Four cycles of targeted selection substantially enriched CR alleles from ECD04, demonstrating the high efficiency and precision of the hexaploid bridge strategy for trait improvement. Notably, a strong linear relationship was observed between allelic dosage of the resistance loci and disease severity, indicating that the introgressed CR genes likely act in a dominant or additive manner (<xref ref-type="bibr" rid="B11">Li et&#xa0;al., 2016</xref>). This relationship enabled reliable phenotypic prediction in early generations based on genotypic data, significantly improving selection efficiency.</p>
<p>However, our findings also reveal a limitation of the dosage model. Family 5G13, which was fixed for the major locus S17 and carried 75% donor alleles across the four target loci, still exhibited 63% disease incidence. We hypothesize that the following factors may be responsible: (i) linkage drag, in which undesirable genomic segments tightly linked to the target CR loci were co-introgressed, potentially carrying alleles that compromise resistance or plant fitness (<xref ref-type="bibr" rid="B8">Jabran et&#xa0;al., 2023</xref>); (ii) residual heterozygosity at loci BSA3, S14, and m090a (87.5% donor alleles, not yet fixed), or the presence of tightly linked deleterious segments near S17, may have compromised the expected resistance; (iii) background effects from the recipient <italic>B. juncea</italic> genome, where interactions between the introgressed alleles and the genetic background may modulate the final resistance level. This case illustrates a general limitation of relying solely on foreground selection in marker-assisted breeding (<xref ref-type="bibr" rid="B4">Dakouri et&#xa0;al., 2013</xref>). Therefore, incorporating routine background selection is recommended to break such unfavorable linkages and accelerate recovery of the recurrent parent genome (<xref ref-type="bibr" rid="B18">Nannuru et&#xa0;al., 2025</xref>), ultimately facilitating the development of agronomically superior lines with stable and complete clubroot resistance.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion and perspectives</title>
<p>In summary, this study establishes an efficient framework for polyploid crop improvement via synthetic hexaploid bridges. The substantial genetic diversity within this novel germplasm pool created in this study offers a promising resource for discovering alleles underlying valuable agronomic traits from <italic>B. rapa</italic> and <italic>B. nigra</italic>. This strategy not only broadens the genetic base of <italic>B. juncea</italic> but also enables precision breeding for clubroot resistance. Future efforts will focus on multi-environment field evaluations of advanced lines to assess their yield potential and adaptability, paving the way for commercial deployment.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw whole-genome sequencing data generated in this study have been deposited, in accordance with the journal&#x2019;s requirements, in the BIG Submission database of the National Genomics Data Center (NGDC) in China. The data can be accessed via the BioProject accession number PRJCA049343 at the following link: <uri xlink:href="https://ngdc.cncb.ac.cn/bioproject/browse/PRJCA049343">https://ngdc.cncb.ac.cn/bioproject/browse/PRJCA049343</uri>.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YWu: Data curation, Formal analysis, Investigation, Software, Visualization, Writing &#x2013; original draft. JL: Data curation, Formal analysis, Investigation, Visualization, Writing &#x2013; review &amp; editing. YD: Data curation, Formal analysis, Investigation, Writing &#x2013; review &amp; editing. FC: Data curation, Investigation, Resources, Validation, Writing &#x2013; review &amp; editing. PB: Resources, Writing &#x2013; review &amp; editing. LP: Resources, Writing &#x2013; review &amp; editing. XZ: Resources, Writing &#x2013; review &amp; editing. YWa: Writing &#x2013; review &amp; editing. WQ: Methodology, Project administration, Supervision, Writing &#x2013; review &amp; editing. JM: Funding acquisition, Methodology, Supervision, Validation, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors wish to acknowledge Prof. Qinfei Li and Dr. Fang&#xa0;Yue in Southwest University, China, to provide the hexaploid lines.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If&#xa0;you identify any issues, please contact us.</p></sec>
<sec id="s11" 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="s12" 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.2025.1729594/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1729594/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/></sec>
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<name><surname>Zhu</surname> <given-names>M.</given-names></name>
<name><surname>Yang</surname> <given-names>L.</given-names></name>
<name><surname>Zhang</surname> <given-names>Y.</given-names></name>
<name><surname>Zhuang</surname> <given-names>M.</given-names></name>
<name><surname>Ji</surname> <given-names>J.</given-names></name>
<name><surname>Hou</surname> <given-names>X.</given-names></name>
<etal/>
</person-group>. (<year>2022</year>). 
<article-title>Introgression of clubroot resistant gene into <italic>Brassica oleracea</italic> L. from <italic>Brassica rapa</italic> based on homoeologous exchange</article-title>. <source>Horticulture Res.</source> <volume>9</volume>, <elocation-id>uhac195</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/hr/uhac195/6679138</pub-id>, PMID: <pub-id pub-id-type="pmid">37180031</pub-id>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/413402">Ryo Fujimoto</ext-link>, Kobe University, Japan</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/657233">Ofere Francis Emeriewen</ext-link>, Julius K&#xfc;hn Institute (JKI), Germany</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/461177">Asif Mohammad Iqbal Qureshi</ext-link>, Sher-e-Kashmir University of Agricultural Sciences and Technology, India</p></fn>
</fn-group>
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