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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.2025.1644621</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>Whole-genome sequencing and phenotyping of neglected and underutilized vegetable melons from the Salento diversity centre (Southern Italy)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Guerriero</surname>
<given-names>Marzia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Arcieri</surname>
<given-names>Francesco</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Delvento</surname>
<given-names>Chiara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Giudice</surname>
<given-names>Gaetano</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Cannarella</surname>
<given-names>Marco Santo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Mimiola</surname>
<given-names>Giancarlo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Cavallo</surname>
<given-names>Giuseppe</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Ricciardi</surname>
<given-names>Luigi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Lotti</surname>
<given-names>Concetta</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pavan</surname>
<given-names>Stefano</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A</institution>, <addr-line>Bari</addr-line>,&#xa0;<country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Centre International De Hautes &#xc9;tudes Agronomiques M&#xe9;diterran&#xe9;ennes (CIHEAM)</institution>, <addr-line>Valenzano (Bari)</addr-line>,&#xa0;<country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Agricultural, Food and Environmental Sciences, University of Foggia</institution>, <addr-line>Foggia</addr-line>,&#xa0;<country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Antonio Lupini, Mediterranea University of Reggio Calabria, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: David Jarvis, Brigham Young University, United States</p>
<p>Mian Faisal Nazir, Lushan Botanical Garden (CAS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Stefano Pavan, <email xlink:href="mailto:stefano.pavan@uniba.it">stefano.pavan@uniba.it</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1644621</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Guerriero, Arcieri, Delvento, Giudice, Cannarella, Mimiola, Cavallo, Ricciardi, Lotti and Pavan.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Guerriero, Arcieri, Delvento, Giudice, Cannarella, Mimiola, Cavallo, Ricciardi, Lotti and Pavan</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>The species <italic>Cucumis melo</italic> L. includes two neglected and underutilized vegetable crops, cucumber melon (<italic>C. melo</italic> subsp. <italic>melo</italic> var. <italic>chate</italic>) and snake melon (<italic>C. melo</italic> subsp. <italic>melo</italic> var. <italic>flexuosus</italic>). In particular, cucumber melon was highly popular in Mediterranean civilizations during Antiquity and the Middle Ages, whereas today its cultivation is mostly confined to the Salento area of southern Italy. Here, we describe the collection and characterization of thirteen cucumber melon and two snake melon populations from Salento. Whole-genome resequencing of DNA pools was performed to investigate genetic diversity within and among populations. The cucumber melon population UBGCMC111, most widely cultivated and marketed, exhibited the lowest heterozygosity, possibly reflecting more intense selection by farmers. Hierarchical clustering revealed genetic divergence of UBGCMC111 and UBGCMC053, the latter originating from a unique area of Salento with linguistic and cultural ties to Greek heritage. Despite some unique patterns of variation, snake melons clustered together with cucumber melons, suggesting overall genetic similarity. A total of 1,307 alleles were fixed and private to different populations under study, potentially valuable for their traceability. Some of them were associated with genes possibly underlying deeply grooved and pale green pepo phenotypes of the populations UBGCMC111 and UBGCMC124, respectively. Replicated field trials enabled germplasm characterization and the selection of agronomically superior populations. Overall, this study safeguards valuable <italic>C. melo</italic> genetic diversity from further genetic erosion. Additionally, it provides genomic and phenotypic data laying a foundation for integrating unexplored genetic resources into mainstream agrifood systems and breeding programs.</p>
</abstract>
<kwd-group>
<kwd>cucumber melon</kwd>
<kwd>snake melon</kwd>
<kwd>whole-genome resequencing</kwd>
<kwd>diversity</kwd>
<kwd>private alleles</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="12"/>
<word-count count="4502"/>
</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">
<label>1</label>
<title>Introduction</title>
<p>Melon (<italic>Cucumis melo</italic> L.) is an extraordinarily polymorphic species, comprising 15 cultivated and wild botanical groups classified into the two subspecies <italic>melo</italic> and <italic>agrestis</italic> (<xref ref-type="bibr" rid="B28">Pitrat, 2008</xref>). Sweet melons, which now dominate the global market, emerged relatively recently in Europe during the Middle Ages (<xref ref-type="bibr" rid="B23">Paris et&#xa0;al., 2012</xref>). In contrast, vegetable melons, which do not accumulate sugars during ripening and are typically consumed at the immature stage, were already popular in ancient Mediterranean civilizations. However, their cultivation is now limited to small, localized areas, making them neglected and underutilized crops (<xref ref-type="bibr" rid="B23">Paris et&#xa0;al., 2012</xref>).</p>
<p>Cucumber melon (<italic>Cucumis melo</italic> var. <italic>chate</italic>) is a vegetable melon that produces tender, crispy, cucumber-like pepos with an approximate width-to-length ratio of 1:2. Its epicarp, ranging in color from pale to dark green, is often covered with soft hairs. Cucumber melons were already depicted in wall paintings from Ancient Egypt (<xref ref-type="bibr" rid="B14">Keimer, 1924</xref>; <xref ref-type="bibr" rid="B30">Sabato et&#xa0;al., 2019</xref>). In Biblical times, they were popular in Judea with the name <italic>qishu&#x2019;im</italic> (<xref ref-type="bibr" rid="B25">Paris et&#xa0;al., 2008</xref>). During the Middle Ages, their presence in Italy is documented through herbal iconography (<xref ref-type="bibr" rid="B24">Paris et&#xa0;al., 2011</xref>). Today, cucumber melon cultivation is largely confined to the Salento area of the Apulia Region (Southern Italy), where it is known by the local names of <italic>meloncella</italic> and <italic>spuredda</italic> (<xref ref-type="bibr" rid="B27">Pavan et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B18">Lija and Beevy, 2021</xref>). In fact, the cucumber melon is so popular in Salento that cucumber (<italic>Cucumis sativus</italic>) is virtually absent from local dietary habits (<xref ref-type="bibr" rid="B17">Laghetti et&#xa0;al., 2008</xref>). Recently, the cucumber melon from Salento was recognized as an Italian Traditional Agri-food Product (<xref ref-type="bibr" rid="B6">Didonna et&#xa0;al., 2023</xref>). In addition, a population largely cultivated in the municipality of Leverano, within Salento, known as <italic>meloncella striata</italic> due to its deeply grooved pepos, has been expanding in both cultivation and market presence, reaching large-scale retail distribution. Finally, the cucumber melon has recently gained significant international attention, highlighting its growing appeal beyond its traditional region of cultivation (<xref ref-type="bibr" rid="B29">Roach, 2023</xref>).</p>
<p>Snake melon (<italic>C. melo</italic> var. <italic>flexuosus</italic>) is another type of vegetable melon, characterized by slender pepos with a width-to-length ratio ranging from 1:3 to 1:9 (<xref ref-type="bibr" rid="B1">Ali-Shtayeh et&#xa0;al., 2017</xref>). It is the most frequently mentioned cucurbit in classical literature (<xref ref-type="bibr" rid="B23">Paris et&#xa0;al., 2012</xref>), described by the Roman writers Pliny and Columella (<xref ref-type="bibr" rid="B13">Janick et&#xa0;al., 2007</xref>) and depicted in mosaics and paintings of the Roman and Byzantine empires (<xref ref-type="bibr" rid="B21">Omari et&#xa0;al., 2018</xref>). Nowadays, the snake melon is occasionally cultivated in the Mediterranean region. In Salento, it is typically grown in the municipality of San Donato, where it is known as <italic>cucummaru</italic>.</p>
<p>To date, limited information is available on genetic and phenotypic variation of vegetable melons. This would be extremely useful to select populations better suited for cultivation and breeding. Additionally, the identification of peculiar genetic features, such as private allelic variants, could be highly valuable for the traceability and protection of specific populations through quality labels.</p>
<p>High-throughput sequencing and genotyping technologies enable the genetic characterization of plant germplasm collections (<xref ref-type="bibr" rid="B26">Pavan et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B5">Delvento et&#xa0;al., 2023</xref>). However, sequencing several individuals of open-pollinated populations, necessary to obtain accurate estimates of population genetic parameters, is still, in most cases, economically unfeasible (<xref ref-type="bibr" rid="B3">Correa Abondano et&#xa0;al., 2024</xref>). Pool-seq, i.e. the sequencing of pooled DNA from several individual, is a cost-effective approach to infer genome-wide population genetic parameters, such as allele frequencies, genetic diversity and selection signatures (<xref ref-type="bibr" rid="B15">Kofler et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B32">Schl&#xf6;tterer et&#xa0;al., 2014</xref>), and to quantify the extent of genetic differentiation among populations. Pool-seq has been successfully applied to study genetically heterogeneous populations of different crops (e.g. <xref ref-type="bibr" rid="B3">Correa Abondano et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B7">Dziurdziak et&#xa0;al., 2021</xref>).</p>
<p>Here, we report the establishment of a collection of open-pollinated, farmer-maintained vegetable melon populations cultivated in Salento. Pooled-seq whole-genome resequencing was performed to study inter- and intra-population diversity. Genetic analysis was complemented by replicated field trials, together providing valuable information for the valorization of these crops.</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 material and field trials</title>
<p>Exploratory missions were conducted across the Salento area, in search of farmer-maintained, open-pollinated populations. These were individually multiplied at the experimental farm &#x2018;P. Martucci&#x2019; of the University of Bari Aldo Moro (UNIBA) (41&#xb0;01&#x2019;22.1&#x2019;&#x2019; N, 16&#xb0;54&#x2019;21.0&#x2019;&#x2019; E), using structures with isolation nets to prevent the access of pollinators. After multiplication, seeds were partially dehumidified to about 6% moisture content and placed in long-term storage chambers (-20&#xb0;C) at the UNIBA Genebank.</p>
<p>The same populations were evaluated in field trials carried out in 2023 and 2024 at the same experimental farm. Two-week-old seedlings were transplanted on June 4, 2023, and on July 6, 2024, according to a randomized block design with three replicates, with each experimental unit consisting of five plants 0.6 m apart along the row. Experimental units were spaced 1.5 m within and between rows. Crop management was carried out according to local practices, including base fertilization with diammonium phosphate and irrigation. Pest and pathogen management was performed using single applications of deltamethrin, acetamiprid, and a copper-based fungicide. Additionally, manual and mechanical weeding were conducted during the crop cycle.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>DNA extraction and sequencing</title>
<p>Genetic analysis was performed on 15 vegetable melon populations. For each of them, approximately equivalent amounts of leaf tissue were sampled from 12 individuals and used for a single DNA extraction. This was done using the Plant Genomic DNA Mini kit (Geneaid), following the manufacturer&#x2019;s instructions. DNA quality and concentration were then checked by electrophoretic analysis on agarose gel (0.8%) and spectrophotometry, using the Qubit 3.0 fluorometer (Life Technologies). Whole-genome resequencing was performed using the Illumina NovaSeq PE150 platform, which provides paired-end sequencing with a read length of up to 150 base pairs.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Variant calling, quality control and SNP filtering</title>
<p>The sequences obtained were aligned against the reference genome of the <italic>C. melo</italic> cultivar AY_1.0 (NCBI identification code GCF_025177605.1; genome size = 438.3 Mb). A variant call format (vcf) file was then obtained using FreeBayes (<xref ref-type="bibr" rid="B9">Garrison and Marth, 2012</xref>), deactivating the priors related to the Hardy-Weinberg equilibrium condition, activating the group mode, and applying filters for minimum base quality and minimum quality mapping above 30. Additional filters were applied with vcftools (<xref ref-type="bibr" rid="B4">Danecek et&#xa0;al., 2011</xref>), for the selection of polymorphisms with mean read depth ranging from 20.9x and 42.3x, corresponding to the mean sample read depth &#xb1; 3sd. Additional filters were minimum quality score of 30 and less than 5% missing genotype calls.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Assessment of genetic diversity</title>
<p>The R package poolfstat (<xref ref-type="bibr" rid="B12">Hivert et&#xa0;al., 2018</xref>) was used to estimate population heterozygosity from allele depth information available in the vcf file. The same package was also employed to perform principal component analysis (PCA) and quantify genetic distances among all possible population pairs based on Wright&#x2019;s F<sub>ST</sub> index. Finally, the pheatmap R package (<xref ref-type="bibr" rid="B16">Kolde, 2019</xref>) was used to generate a heatmap and a dendrogram from the F<sub>ST</sub> matrix, with clustering performed using the complete linkage method.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Identification and annotation of alleles privately fixed in individual populations</title>
<p>A custom R script was used to estimate allele frequencies for each locus and population, starting from allele depth information available in the vcf file. Then, alleles privately fixed in individual populations (i.e. with a frequency of 1 in one population and 0 in all the others) were extracted. The Variant Effect Predictors (VEP) tool (<xref ref-type="bibr" rid="B19">McLaren et&#xa0;al., 2016</xref>) was used to annotate genetic variants and predict their effect, using information available for the <italic>C. melo</italic> cultivar AY_1.0 public assembly (NCBI identification code GCF_025177605.1).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Phenotypic characterization</title>
<p>The following seven descriptors defined by the Italian Working Group on Agricultural Biodiversity (GIBA) for the species <italic>Cucumis melo</italic> L. were recorded: fruit color intensity, spot density, spot site, peduncular site shape, distal end shape, groove presence/absence, and groove depth. In addition, the following six agronomic traits were measured: fruit length, fruit width, length/width ratio, number of fruits per plant, fruit weight and plant yield. Finally, an earliness index was calculated, defined as the number of days after sowing in which 50% of the total yield (by weight) was harvested. The analysis of variance (ANOVA) and the LSD (Least Significant Difference) <italic>post hoc</italic> test were performed using the agricolae R package (de <xref ref-type="bibr" rid="B20">Mendiburu, 2021</xref>). The correlation matrix among four agronomic traits (fruits per plant, fruit weight, plant yield and earliness index) was performed using the Hmisc R package (<xref ref-type="bibr" rid="B11">Harrell, 2025</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Collection, multiplication and conservation of vegetable melon germplasm</title>
<p>In total, thirteen farmer-maintained cucumber melon populations and two snake melon populations were collected and successfully multiplied under controlled conditions (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). Seed weight obtained by each population ranged from 50g to 450g. All the materials were transferred and catalogued at the UNIBA Genebank.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Phenotype of <italic>Cucumis melo</italic> populations collected in this study. For each population, information is provided on the ID code at the UNIBA Genebank, and the municipality of origin in the province of Lecce (LE) or Brindisi (BR), within the Salento area. Photos refer to pepos collected from three randomly selected plants. Cucumber melon and snake melon populations are indicated by blue and red dots, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1644621-g001.tif">
<alt-text content-type="machine-generated">Various types of melons are shown in pairs on a black background. Each pair is labeled with Genebank ID, local name, and origin. Blue dots indicate cucumber melons and red dots indicate snake melons. The origins include locations in Italy such as Leverano, Cavallino, and Corigliano d'Otranto. The melons have different shapes and shades of green, with some striped and others smooth. A scale indicating one centimeter is visible for size reference.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Whole genome resequencing</title>
<p>Paired-read genomic resequencing generated a mean value of 13.9 Gb of sequence data per population, ranging from 12.18 Gb to 16.96 Gb. The mean read depth was 31.8x, spanning from 27.8x to 38.7x (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). After the quality control procedure, a variant call format (vcf) file, containing 463,290 SNPs, was obtained.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Pool-seq statistics. For each population, the percentage of aligned reads, the genome fraction having a coverage of at least 30x, the GC content percentage and the overall mean coverage are indicated by bars of different colors. Cucumber melon and snake melon populations are indicated by blue and red dots, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1644621-g002.tif">
<alt-text content-type="machine-generated">Bar chart comparing genomic data for cucumber and snake melons. It includes percentages of aligned reads, coverage greater than thirty X, GC content, and mean coverage across various samples. Cucumber melon samples are marked in blue and snake melon in red.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Intra- and interpopulation diversity</title>
<p>The populations UBGCMC111, UBGCMC053, UBGCMC054 and UBGCMC124 showed the highest level of genetic uniformity, with respective heterozygosity estimates of 3.7%, 4.1%, 5.5% and 9.6%. In contrast, the populations UBGCMC048, UBGCMC107, UBGCMC051 and UBGCMC106 showed the highest genetic diversity, with heterozygosity values ranging from 21% to 25% (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Error-bar plot of heterozygosity estimates. For each population, heterozygosity estimate is represented by a dot, whereas &#xb1; SD are indicated by bars. Dots are coloured in blue and red for cucumber melon and snake melon populations, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1644621-g003.tif">
<alt-text content-type="machine-generated">Scatter plot showing within-population heterozygosity estimates for different melon samples. Cucumber melon samples are marked in blue, and snake melon samples are in red. Heterozygosity values range from approximately 0.05 to 0.25 across various coded samples on the x-axis.</alt-text>
</graphic>
</fig>
<p>A pairwise fixation index (F<sub>ST</sub>) matrix among populations was obtained based on allele frequence estimates (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Pairwise F<sub>ST</sub> indices among populations ranged between 0.1 (between the two populations UBGCMC056 and UBGCMC060, both originating from the municipality of Cavallino) and 0.82 (between UBGCMC111 and UBGCMC053).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Genetic distance among populations under study. Values in the heatmap refer to pairwise Wright&#x2019;s F<sub>ST</sub> index values. The dendrograms at the borders of the heatmap are indicative of genetic distances among populations. Cucumber melon and snake melon populations are indicated by blue and red rectangles, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1644621-g004.tif">
<alt-text content-type="machine-generated">Heatmap depicting the similarity between various melon samples, with values ranging from 0 to 0.8. Snake melon samples are highlighted in red and cucumber melon samples in blue. The dendrogram on the left shows clustering based on similarity.</alt-text>
</graphic>
</fig>
<p>An F<sub>ST</sub>-based similarity dendrogram was obtained to provide information on genetic relationships among populations (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The most divergent population was UBGCMC053, followed by UBGCMC111. Notably, the two snake melon populations UBGCMC106 and UBGCMC107 did not form a distinct lineage, suggesting an overall genetic similarity between the <italic>chate</italic> and <italic>flexuosus</italic> botanical varieties.</p>
<p>To further investigate the genetic structure, PCA was performed (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The first and the second principal components (PC1 and PC2) clearly differentiated snake melon from cucumber melon populations, which mostly grouped together in the PCA biplot.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Biplot showing genetic variation explained by the first two principal components (PC1 and PC2). Each dot represents coordinates of individual populations on the two axes. Dots are coloured in blue and red for cucumber melon and snake melon populations, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1644621-g005.tif">
<alt-text content-type="machine-generated">Scatter plot depicting a principal component analysis with two axes, PC1% (10.43) and PC2% (9.55). Blue dots represent cucumber melon, and red dots represent snake melon. Most data points cluster near the center, except for two distinct red points labeled UBGCMC107 and UBGCMC106 positioned farther along the PC1 axis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Private allele identification and annotation</title>
<p>A total of 1,307 alleles were found to be fixed and private to different populations (i.e. fixed at frequency 1 in a given population and 0 in all others) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). Using the Variant Effect Predictor (VEP) tool, we associated fixed and private variants of UBGCMC111 and UBGCMC124, two populations clearly distinguishable from all others by their peculiar pepo phenotype (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), with 76 and 62 genes, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;3</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>4</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Comparison of vegetable melon populations for seven morphological descriptors: fruit color intensity, spot density, spot size, peduncular site shape, distal end shape, grooves and grooves depth.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Gene bank ID</th>
<th valign="top" align="left">Fruit color intensity</th>
<th valign="top" align="left">Spot density</th>
<th valign="top" align="left">Spot size</th>
<th valign="top" align="left">Peduncular site shape</th>
<th valign="top" align="left">Distal end shape</th>
<th valign="top" align="left">Grooves</th>
<th valign="top" align="left">Grooves depth</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">UBGCMC048</td>
<td valign="top" align="left">Medium</td>
<td valign="top" align="left">High/None</td>
<td valign="top" align="left">Medium/None</td>
<td valign="top" align="left">Flat</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Few/None</td>
<td valign="top" align="left">Very shallow/None</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC051</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Flat</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC053</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">Low</td>
<td valign="top" align="left">Small</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Few</td>
<td valign="top" align="left">Very shallow</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC054</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">None/High</td>
<td valign="top" align="left">None/Medium</td>
<td valign="top" align="left">Peaked</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">None/Few</td>
<td valign="top" align="left">None/Shallow</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC056</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Flat</td>
<td valign="top" align="left">Flat/Round</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC057</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Few</td>
<td valign="top" align="left">Shallow/Medium</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC058</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">Low</td>
<td valign="top" align="left">Small</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Few</td>
<td valign="top" align="left">Shallow</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC059</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Few</td>
<td valign="top" align="left">Very shallow</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC060</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">None/Few</td>
<td valign="top" align="left">None/Very shallow</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC061</td>
<td valign="top" align="left">Medium/Dark</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Few/Abundant</td>
<td valign="top" align="left">Shallow/Very shallow</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC106</td>
<td valign="top" align="left">Medium</td>
<td valign="top" align="left">High</td>
<td valign="top" align="left">Small/Medium</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Few/Abundant</td>
<td valign="top" align="left">Shallow/Medium</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC107</td>
<td valign="top" align="left">Medium/Dark</td>
<td valign="top" align="left">Medium/High</td>
<td valign="top" align="left">Small/Medium</td>
<td valign="top" align="left">Peaked/Round</td>
<td valign="top" align="left">Peaked/Round</td>
<td valign="top" align="left">Few/Abundant</td>
<td valign="top" align="left">Shallow/Medium</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC111</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="left">Abundant</td>
<td valign="top" align="left">Deep</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC113</td>
<td valign="top" align="left">Dark</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Peaked/Round</td>
<td valign="top" align="left">Peaked/Round</td>
<td valign="top" align="left">Few/None</td>
<td valign="top" align="left">None/Very shallow</td>
</tr>
<tr>
<td valign="top" align="left">UBGCMC124</td>
<td valign="top" align="left">Light</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">Round/Peaked</td>
<td valign="top" align="left">Round/Peaked</td>
<td valign="top" align="left">Few</td>
<td valign="top" align="left">Shallow</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The presence of non-unique phenotypes reflects the phenotypic variation observed within some populations.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Phenotypic characterization</title>
<p>Populations varied in their level of uniformity for fruit morphological descriptors (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Fruit color intensity varied from pale to dark green, with the pale green phenotype observed exclusively in UBGCMC124. Most populations lacked rind spots, while a few showed variable spot size and density. The peduncular site and distal end were categorized as flat, round and peaked. Longitudinal grooves were absent or shallow in most populations, with deep grooves only observed in UBGCMC111.</p>
<p>Regarding quantitative traits, ANOVA revealed a significant effect of the population in all cases. Growing season variation (with data on temperature and rainfall reported in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;2</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>3</bold>
</xref>) also significantly affected all the traits, except for the number of fruits per plant. Population-by-year interaction was always non-significant, except for fruit length (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>).</p>
<p>As expected, the fruit length/width ratio was higher in the two <italic>C. melo</italic> var. <italic>flexuosus</italic> populations (4.56 for UBGCMC106 and 2.94 for UBGCMC107) than in the <italic>C. melo</italic> var. <italic>chate</italic> populations, which ranged from 2.05 (UBGCMC058) to 2.75 (UBGCMC113) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). A wide variation was observed in the number of fruits per plant, ranging from 5.72 (UBGCMC054) to 14.58 (UBGCMC060), whereas fruit weight showed moderate variation, ranging from 0.21 kg (UBGCMC056) to 0.32 kg (UBGCMC051, UBGCMC060, and UBGCMC113) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Finally, the earliness index ranged from 37.67 days (UBGCMC056) to 51.67 days (UBGCMC113) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Correlation analysis among four agronomic traits (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>) indicated positive and significant correlation between fruits per plant and plant yield.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Comparison of vegetable melon populations for fruit length, fruit width, length/width ratio, fruits per plant, fruit weight, plant yield and earliness index.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Genebank ID</th>
<th valign="top" align="center">Fruit length (cm) 2023</th>
<th valign="top" align="center">Fruit length (cm) 2024</th>
<th valign="top" align="center">Fruit width (cm)</th>
<th valign="top" align="center">Length/width ratio</th>
<th valign="top" align="center">Fruits per plant</th>
<th valign="top" align="center">Fruit weight (Kg)</th>
<th valign="top" align="center">Plant yield (Kg)</th>
<th valign="top" align="center">Earliness index*</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">UBGCMC048</td>
<td valign="top" align="center">10.98 &#xb1; 2.23<sup>cde</sup>
</td>
<td valign="top" align="center">11.88 &#xb1; 3.05<sup>efg</sup>
</td>
<td valign="top" align="center">4.95 &#xb1; 1.17<sup>bc</sup>
</td>
<td valign="top" align="center">2.44 &#xb1; 0.66<sup>def</sup>
</td>
<td valign="top" align="center">8.75 &#xb1; 3.5<sup>def</sup>
</td>
<td valign="top" align="center">0.27 &#xb1; 0.03<sup>abc</sup>
</td>
<td valign="top" align="center">2.39 &#xb1; 1.06<sup>de</sup>
</td>
<td valign="top" align="center">49.33 &#xb1; 3.08<sup>ab</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC051</td>
<td valign="top" align="center">10.32 &#xb1; 1.14<sup>def</sup>
</td>
<td valign="top" align="center">11.76 &#xb1; 2.39<sup>efg</sup>
</td>
<td valign="top" align="center">5.38 &#xb1; 1.32<sup>abc</sup>
</td>
<td valign="top" align="center">2.17 &#xb1; 0.38<sup>gh</sup>
</td>
<td valign="top" align="center">6.83 &#xb1; 2.71<sup>ef</sup>
</td>
<td valign="top" align="center">0.32 &#xb1; 0.05<sup>a</sup>
</td>
<td valign="top" align="center">2.13 &#xb1; 0.83<sup>de</sup>
</td>
<td valign="top" align="center">45.5 &#xb1; 4.59<sup>abcd</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC053</td>
<td valign="top" align="center">12.99 &#xb1; 1.5<sup>b</sup>
</td>
<td valign="top" align="center">13.28 &#xb1; 2.33<sup>bcd</sup>
</td>
<td valign="top" align="center">6.25 &#xb1; 6.31<sup>a</sup>
</td>
<td valign="top" align="center">2.52 &#xb1; 0.54<sup>cd</sup>
</td>
<td valign="top" align="center">11.2 &#xb1; 1.73<sup>abcd</sup>
</td>
<td valign="top" align="center">0.28 &#xb1; 0.04<sup>abc</sup>
</td>
<td valign="top" align="center">3.15 &#xb1; 0.73<sup>abcd</sup>
</td>
<td valign="top" align="center">45.0 &#xb1; 5.59<sup>abcd</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC054</td>
<td valign="top" align="center">9.09 &#xb1; 3.23<sup>f</sup>
</td>
<td valign="top" align="center">13.36 &#xb1; 2.27<sup>bcd</sup>
</td>
<td valign="top" align="center">6.12 &#xb1; 2.13<sup>a</sup>
</td>
<td valign="top" align="center">2.15 &#xb1; 0.61<sup>gh</sup>
</td>
<td valign="top" align="center">5.7 &#xb1; 2.9<sup>f</sup>
</td>
<td valign="top" align="center">0.31 &#xb1; 0.05<sup>ab</sup>
</td>
<td valign="top" align="center">1.87 &#xb1; 1.27<sup>e</sup>
</td>
<td valign="top" align="center">41.17 &#xb1; 3.82<sup>de</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC056</td>
<td valign="top" align="center">9.56 &#xb1; 0.65<sup>ef</sup>
</td>
<td valign="top" align="center">10.37 &#xb1; 1.27<sup>h</sup>
</td>
<td valign="top" align="center">4.9 &#xb1; 0.77<sup>bcd</sup>
</td>
<td valign="top" align="center">2.11 &#xb1; 0.39<sup>gh</sup>
</td>
<td valign="top" align="center">10.37 &#xb1; 5.11<sup>bcde</sup>
</td>
<td valign="top" align="center">0.21 &#xb1; 0.11<sup>d</sup>
</td>
<td valign="top" align="center">2.67 &#xb1; 1.3<sup>cde</sup>
</td>
<td valign="top" align="center">37.67 &#xb1; 18.8<sup>e</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC057</td>
<td valign="top" align="center">12.33 &#xb1; 1.29<sup>bc</sup>
</td>
<td valign="top" align="center">11.29 &#xb1; 2.09<sup>fgh</sup>
</td>
<td valign="top" align="center">4.85 &#xb1; 1.08<sup>bcd</sup>
</td>
<td valign="top" align="center">2.42 &#xb1; 0.3<sup>def</sup>
</td>
<td valign="top" align="center">9.13 &#xb1; 2.83<sup>cdef</sup>
</td>
<td valign="top" align="center">0.28 &#xb1; 0.03<sup>abc</sup>
</td>
<td valign="top" align="center">2.52 &#xb1; 0.86<sup>de</sup>
</td>
<td valign="top" align="center">42.17 &#xb1; 3.97<sup>cde</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC058</td>
<td valign="top" align="center">11.09 &#xb1; 1.2<sup>cde</sup>
</td>
<td valign="top" align="center">10.22 &#xb1; 1.83<sup>h</sup>
</td>
<td valign="top" align="center">5.18 &#xb1; 1.07<sup>bc</sup>
</td>
<td valign="top" align="center">2.05 &#xb1; 0.32<sup>h</sup>
</td>
<td valign="top" align="center">14.03 &#xb1; 3.85<sup>ab</sup>
</td>
<td valign="top" align="center">0.27 &#xb1; 0.01<sup>abc</sup>
</td>
<td valign="top" align="center">3.8 &#xb1; 1.0<sup>abc</sup>
</td>
<td valign="top" align="center">45.0 &#xb1; 5.06<sup>abcd</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC059</td>
<td valign="top" align="center">11.49 &#xb1; 1.8<sup>bcd</sup>
</td>
<td valign="top" align="center">12.17 &#xb1; 2.06<sup>def</sup>
</td>
<td valign="top" align="center">5.05 &#xb1; 1.09<sup>bc</sup>
</td>
<td valign="top" align="center">2.45 &#xb1; 0.51<sup>def</sup>
</td>
<td valign="top" align="center">10.67 &#xb1; 4.12<sup>abcde</sup>
</td>
<td valign="top" align="center">0.30 &#xb1; 0.04<sup>abc</sup>
</td>
<td valign="top" align="center">3.22 &#xb1; 1.47<sup>abcd</sup>
</td>
<td valign="top" align="center">47.67 &#xb1; 2.34<sup>abcd</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC060</td>
<td valign="top" align="center">11.09 &#xb1; 1.2<sup>cde</sup>
</td>
<td valign="top" align="center">11.85 &#xb1; 2.02<sup>efg</sup>
</td>
<td valign="top" align="center">5.08 &#xb1; 0.97<sup>bc</sup>
</td>
<td valign="top" align="center">2.36 &#xb1; 0.49<sup>defg</sup>
</td>
<td valign="top" align="center">14.58 &#xb1; 4.01<sup>a</sup>
</td>
<td valign="top" align="center">0.28 &#xb1; 0.04<sup>abc</sup>
</td>
<td valign="top" align="center">4.09 &#xb1; 1.51<sup>a</sup>
</td>
<td valign="top" align="center">47.5 &#xb1; 8.98<sup>abcd</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC061</td>
<td valign="top" align="center">12.38 &#xb1; 0.96<sup>bc</sup>
</td>
<td valign="top" align="center">12.71 &#xb1; 2.8<sup>cde</sup>
</td>
<td valign="top" align="center">5.65 &#xb1; 1.06<sup>ab</sup>
</td>
<td valign="top" align="center">2.25 &#xb1; 0.24<sup>fgh</sup>
</td>
<td valign="top" align="center">12.82 &#xb1; 1.64<sup>abc</sup>
</td>
<td valign="top" align="center">0.32 &#xb1; 0.05<sup>a</sup>
</td>
<td valign="top" align="center">4.06 &#xb1; 0.9<sup>ab</sup>
</td>
<td valign="top" align="center">44.83 &#xb1; 4.26<sup>bcd</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC106</td>
<td valign="top" align="center">15.67 &#xb1; 3.19<sup>a</sup>
</td>
<td valign="top" align="center">17.77 &#xb1; 3.28<sup>a</sup>
</td>
<td valign="top" align="center">4.01 &#xb1; 1<sup>d</sup>
</td>
<td valign="top" align="center">4.56 &#xb1; 1.38<sup>a</sup>
</td>
<td valign="top" align="center">9.77 &#xb1; 2.01<sup>cde</sup>
</td>
<td valign="top" align="center">0.27 &#xb1; 0.03<sup>abc</sup>
</td>
<td valign="top" align="center">2.65 &#xb1; 0.49<sup>cde</sup>
</td>
<td valign="top" align="center">43.0 &#xb1; 5.59<sup>bcde</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC107</td>
<td valign="top" align="center">17.17 &#xb1; 1.66<sup>a</sup>
</td>
<td valign="top" align="center">13.78 &#xb1; 2.63<sup>bc</sup>
</td>
<td valign="top" align="center">5.07 &#xb1; 1.15<sup>bc</sup>
</td>
<td valign="top" align="center">2.94 &#xb1; 0.56<sup>b</sup>
</td>
<td valign="top" align="center">9.41 &#xb1; 2.87<sup>cdef</sup>
</td>
<td valign="top" align="center">0.30 &#xb1; 0.05<sup>abc</sup>
</td>
<td valign="top" align="center">2.82 &#xb1; 1.05<sup>bcde</sup>
</td>
<td valign="top" align="center">47.17 &#xb1; 1.6<sup>abcd</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC111</td>
<td valign="top" align="center">10.56 &#xb1; 1.1<sup>def</sup>
</td>
<td valign="top" align="center">10.95 &#xb1; 1.75<sup>gh</sup>
</td>
<td valign="top" align="center">4.9 &#xb1; 1.01<sup>bcd</sup>
</td>
<td valign="top" align="center">2.28 &#xb1; 0.44<sup>efgh</sup>
</td>
<td valign="top" align="center">14.53 &#xb1; 2.69<sup>a</sup>
</td>
<td valign="top" align="center">0.26 &#xb1; 0.03<sup>bc</sup>
</td>
<td valign="top" align="center">3.87 &#xb1; 1.02<sup>abc</sup>
</td>
<td valign="top" align="center">47.83 &#xb1; 2.48<sup>abcd</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC113</td>
<td valign="top" align="center">10.68 &#xb1; 1.02<sub>cdef</sub>
</td>
<td valign="top" align="center">13.97 &#xb1; 3.2<sup>b</sup>
</td>
<td valign="top" align="center">5.04 &#xb1; 1.27<sup>bc</sup>
</td>
<td valign="top" align="center">2.75 &#xb1; 0.65<sup>bc</sup>
</td>
<td valign="top" align="center">8.53 &#xb1; 3.35<sup>def</sup>
</td>
<td valign="top" align="center">0.32 &#xb1; 0.07<sup>a</sup>
</td>
<td valign="top" align="center">2.78 &#xb1; 1.44<sup>cde</sup>
</td>
<td valign="top" align="center">51.67 &#xb1; 5.54<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">UBGCMC124</td>
<td valign="top" align="center">11.34 &#xb1; 1.06<sup>cd</sup>
</td>
<td valign="top" align="center">11.25 &#xb1; 1.75<sup>fgh</sup>
</td>
<td valign="top" align="center">4.64 &#xb1; 1.04<sup>cd</sup>
</td>
<td valign="top" align="center">2.51 &#xb1; 0.47<sup>cde</sup>
</td>
<td valign="top" align="center">9.0 &#xb1; 4.65<sup>cdef</sup>
</td>
<td valign="top" align="center">0.25 &#xb1; 0.04<sup>cd</sup>
</td>
<td valign="top" align="center">2.33 &#xb1; 1.45<sup>de</sup>
</td>
<td valign="top" align="center">48.5 &#xb1; 9.48<sup>abc</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">11.78</td>
<td valign="top" align="center">12.4</td>
<td valign="top" align="center">5.14</td>
<td valign="top" align="center">2.53</td>
<td valign="top" align="center">10.35</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">2.96</td>
<td valign="top" align="center">45.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as mean &#xb1; standard deviation of biological replicates for individual years in the case of fruit length, for which significant genotype:year interaction was detected, or as mean &#xb1; standard deviation of biological replicates across the two years for all the other traits, for which no significant genotype:year interaction was observed.</p>
</fn>
<fn>
<p>*Days from sowing date</p>
</fn>
<fn>
<p>Means not associated with the same letter are significantly different at <italic>p</italic> &lt; 0.05 (LSD test).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Correlation matrix among four agronomic traits (fruits per plant, fruit weight, plant yield and earliness index) recorded in this study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Trait<break/>Trait</th>
<th valign="top" align="center">Fruits per plant</th>
<th valign="top" align="center">Fruit weight</th>
<th valign="top" align="center">Plant yield</th>
<th valign="top" align="center">Earliness index</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Fruits per plant</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-0.33</td>
<td valign="middle" align="center">0.91*</td>
<td valign="middle" align="center">-0.04</td>
</tr>
<tr>
<td valign="middle" align="center">Fruit weight</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.04</td>
</tr>
<tr>
<td valign="middle" align="center">Plant yield</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0.14</td>
</tr>
<tr>
<td valign="middle" align="center">Earliness index</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The asterisk indicates statistically significant correlations (<italic>p</italic> &lt; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Cucumber melon, once widespread in the Mediterranean Basin, has seen its cultivation to decline drastically, and is now mainly grown in the Salento area of Southern Italy. The germplasm collection presented here is therefore of pivotal importance for preserving the cucumber melon gene pool from further genetic erosion. In addition, it provides a valuable foundation for breeding programs in cucumber melon, which is regaining popularity in both national and international markets, as well as in other <italic>C. melo</italic> taxonomical groups, including sweet melons.</p>
<p>The pool-seq approach applied in this study has confirmed to be a valuable and cost-effective approach for generating population-level genetic data, despite intrinsic limitations such as lack of individual genotype resolution and potential allele frequency biases. Estimation of heterozygosity indicated a highly variable level of genetic diversity within the populations under study (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The populations UBGCMC111 and UBGCMC124, characterized by clearly distinguishable pepos (deeply grooved and pale green, respectively, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), were among those with the lowest heterozygosity, likely reflecting stronger phenotypic selection exerted by farmers.</p>
<p>Analysis of genetic diversity by principal component analysis (PCA) revealed a relatively low amount (about 20%) of total genetic variation explained by the first two components, suggesting that genetic differentiation among the studied populations is driven by many loci with small differences in allele frequency. Nonetheless, the PCA biplot highlighted specific patterns of variation for the two snake melon populations UBGCMC106 and UBGCMC107, consistent with their distinct morphological features.</p>
<p>Notably, hierarchical clustering using Wright&#x2019;s fixation index (F<sub>ST</sub>) revealed no genetic divergence between snake melon and cucumber melon populations, as they clustered together (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). This result aligns with previous reports of genetic and physico-chemical similarity between the two botanical varieties <italic>chate</italic> and <italic>flexuosus</italic> (<xref ref-type="bibr" rid="B1">Ali-Shtayeh et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B8">Flores-Le&#xf3;n et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B2">Branca et&#xa0;al., 2023</xref>). Given their shared cultivation history, dating back to Ancient Egypt, and their mention as <italic>qishu&#x2019;im</italic> in Biblical texts (<xref ref-type="bibr" rid="B13">Janick et&#xa0;al., 2007</xref>), our evidence supports the hypothesis that snake melon originated from cucumber melon or vice versa. However, as we only analyzed two snake melon populations, we cannot exclude the possibility that these represent hybrids between the <italic>chate</italic> and <italic>flexuosus</italic> groups. The pepos of UBGCMC106 and UBGCMC107 share striking similarity with snake melons traditionally cultivated in Israel and the Palestinian territories, known as <italic>Green Baladi</italic> or <italic>Baladi Akhder</italic> (<xref ref-type="bibr" rid="B1">Ali-Shtayeh et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B21">Omari et&#xa0;al., 2018</xref>).</p>
<p>According to F<sub>ST</sub>-based hierarchical clustering, the most divergent population is UBGCMC053, originating from the Municipality of Corigliano d&#x2019;Otranto (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Remarkably, Corigliano d&#x2019;Otranto locates in a culturally and linguistically unique area in Salento known as Grec&#xec;a Salentina, which has deep historical ties to Greek culture, dating back to ancient Magna Graecia and the Byzantine period (<xref ref-type="bibr" rid="B22">Pantaleo, 2006</xref>; <xref ref-type="bibr" rid="B10">Guardiano and Stavrou, 2021</xref>). It might therefore be speculated that this population derives from a distinct introduction from the Greek Peninsula. UBGCMC111, the second-most divergent population in the panel, might also originate from a different gene pool, as it is characterized by unique pepo morphological features.</p>
<p>The identification of fixed and private DNA variants in most of the populations under study represents a valuable resource for their traceability and valorization. In the population UBGCMC111, currently the most widely cultivated and marketed, one fixed private variant was associated with a 3&#x2019;-UTR mutation in a gene of the ethylene-insensitive 3 (EIN3) family, involved in ethylene signaling. Another variant was annotated in the downstream region of a gene belonging to the <italic>Lateral Organ Boundaries</italic> (<italic>LOB</italic>) family, which plays a major role in melon fruit development and morphogenesis (<xref ref-type="bibr" rid="B33">Tufekci, 2023</xref>). In&#xa0;UBGCMC124, fixed private intronic and downstream gene mutations were associated with genes putatively involved in photosynthesis, encoding a chloroplast pheophytinase and a photosystem II D1 precursor processing protein (PSB27-H2), respectively. Interestingly, pheophytinases are involved in chlorophyll breakdown (<xref ref-type="bibr" rid="B31">Schelbert et&#xa0;al., 2009</xref>), which could explain the distinctive pale green pepo phenotype observed in this population (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Further functional studies, based on targeted mutagenesis or transgenic&#xa0;expression, may prove causal association between mutations in the candidate genes above mentioned and the observed phenotypic variation.</p>
<p>With respect to bio-agronomic traits, significant differences were observed among the populations, in line with the results of the genetic analyses. In addition, year appeared as a significant source of variation, likely due to peculiar climatic conditions (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;2</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>3</bold>
</xref>). In contrast, the population:year interaction resulted to be non-significant in most cases,5 suggesting that all populations may exhibit a relatively stable response to different environmental conditions. Plant yield was significantly associated with the number of fruits, but not with fruit weight (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). As expected, the population UBGCMC111, currently the most popular among farmers, also exhibited good agronomic performance in terms of yield and earliness. However, several other populations were also ranked among the best performing (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Overall, the cucumber melon and snake melon populations described in this study are the result of farmer selection under local conditions and are, in most cases, genetically heterogeneous. We therefore suggest that formal breeding programs, leveraging the genetic and phenotypic information presented here, could achieve significant genetic gains in the short term.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <uri xlink:href="https://www.ncbi.nlm.nih.gov/">https://www.ncbi.nlm.nih.gov/</uri>, PRJNA1260727.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>MG: Data curation, Visualization, Formal analysis, Investigation, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. FA: Visualization, Formal analysis, Writing &#x2013; review &amp; editing, Data curation. CD: Supervision, Data curation, Formal analysis, Writing &#x2013; review &amp; editing. GG: Data curation, Writing &#x2013; review &amp; editing. MC: Writing &#x2013; review &amp; editing, Data curation. GM: Resources, Writing &#x2013; review &amp; editing. GC: Resources, Writing &#x2013; review &amp; editing. LR: Writing &#x2013; review &amp; editing. CL: Writing &#x2013; review &amp; editing. SP: Methodology, Writing &#x2013; original draft, Investigation, Supervision, Resources, Conceptualization, Funding acquisition, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This study was carried out within the framework of the following projects: &#x201c;DAJS Rigenerazione Sostenibile dell&#x2019;agricoltura nei territori colpiti da Xylella Fastidiosa&#x201d; CUP: J89J21013750001&#x201d;; Rural Development Program 2014&#x2013;2022, Measure 10, Sub-Measure 10.2, Operation 1&#xa0;&#x201c;Program for the Conservation and Valorization of the Genetic Resources in Agriculture&#x201d; &#x2018;Biodiversity of Apulian Fruit Vegetables&#x2019; (BiodiverSO Karpos, DDS n. 04250178565, CUP: B97H22003670009); Agritech National Research Center, receiving funding from the European Union Next-Generation EU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) &#x2013; MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 &#x2013; D.D. 1032 17/06/2022, CN00000022).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank O.P. SANROCCO for help in germplasm collection.</p>
</ack>
<sec id="s8" 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. The authors declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s10" 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="s11" 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.2025.1644621/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1644621/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table1.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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