Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar
Reach Us +443308186230

GET THE APP

Advances in Crop Science and Technology - Development of PCR-based Markers Associated with Powdery Mildew Resistance using Bulked Segregant Analysis (BSA-seq) in Melon
ISSN: 2329-8863

Advances in Crop Science and Technology
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Research Article   
  • Adv Crop Sci Tech 2023, Vol 11(5): 5
  • DOI: 10.4172/2329-8863.1000575

Development of PCR-based Markers Associated with Powdery Mildew Resistance using Bulked Segregant Analysis (BSA-seq) in Melon

Haicho1*, Xia Lu1, Wenyi Fan1, Wenting Zhang1, Xue Yang1, Hei Mie2, Md G3, Guangli Xu2, Lihua Zhang4 and Wenhu Li2
1Molecular biology laboratory of Suqian City GreenPort Modern Agriculture Research Institute, East side of G235, Buzi Town, Sucheng District, 223800, Suqian City, Jiangsu Province, China
2Jiangsu GreenPort Modern Agriculture Development Company, 223800 Suqian City, Jiangsu Province, China
3Faculty of Sustainable Agriculture, Horticulture and Landscaping Program, University Malaysia Sabah, Sandakan Campus, 90509 Sandakan, Sabah, Malaysia
4Suqian University, Huanghe South Road No. 399, Sucheng District, Suqian City, China
*Corresponding Author: Haicho, Molecular biology laboratory of Suqian City GreenPort Modern Agriculture Research Institute, East side of G235, Buzi Town, Sucheng District, 223800, Suqian City, Jiangsu Province, China, Email: haicho07@yahoo.fr

Received: 24-Apr-2023 / Manuscript No. acst-23-96988 / Editor assigned: 27-Apr-2023 / PreQC No. acst-23-96988 / Reviewed: 15-May-2023 / QC No. acst-23-96988 / Revised: 26-May-2023 / Manuscript No. acst-23-96988 / Published Date: 31-May-2023 DOI: 10.4172/2329-8863.1000575

Abstract

Powdery mildew (PM) is a fungus that causes disease in both the field and the greenhouse. Utilizing resistant cultivars is the most effective approach of disease management. To develop insertion-deletion (InDel) marker associated to this trait, whole genome of PM resistant line M17050 (P1) and PM-susceptible line 28-1-1 (P2) were sequenced. A total of 1,200 InDels, with an average of 100 markers per chromosome, were arbitrarily chosen from the sequencing data for experimental validation. One hundred InDel markers were ultimately selected due to their informative genetic bands. Further, an F2 segregating population of melons generated from these two parents was inoculated by PM pathogen. Based on bulk segregant analysis (BSA) using these 100 InDel markers, the powdery mildew resistance was associated with the genomic region LVpm12.1 on melon chromosome12. This region overlapped the previously described QTL-hotspot area carrying multiple PM-resistance QTLs. Moreover, conventional QTL mapping analysis was done, which located LVpm12.1 in the region between 22.72 Mb and 23.34 Mb, where three highly polymorphic InDel markers MInDel89, MInDel92, and MInDel93 were detected. Therefore these markers could be used to track this resistance locus in melon while the lines carrying this locus could be employed in PM melon resistance breeding programs after validation test.

Keywords

Powdery mildew; Resistance QTL; InDel marker; Whole genome re-sequencing; Melon

Introduction

Melon (Cucumis melo L.) is a member of the Cucurbitaceae family and an important horticultural economic crop with an annual global production of over 29 million tons [1,2]. Powdery mildew (PM) is a fungus that affects the leaves, petioles, and stems of most cucurbit crops in both field and greenhouse settings [3]. This disease can cause a decrease in weight-based productivity and a decrease in fruit quality [4], resulting in severe economic losses in many regions of the globe [5]. On melon, two biotrophic fungi typical of powdery mildew, Podosphaera xanthii and Golovinomyces cicoriacearum, were identified [6, 7, 8, 9, 10, 11, 12]. In P. xanthii, over 28 physiological races have been identified based on their responses to various melon varieties, and which are relatively dispersed across various geographical regions [13, 14, 15]. In Southern European regions, the most prevalent races are 1, 2, and 5 [16, 17]. In America, races 1, 2, and 3 are prevalent, while in France, races 0, 4, and 5 have been discovered [13]. In Japan, races 1, N1, N2, and 5 have been identified as the causal agents of powdery mildew in melon [14], while the other seven races 1, 2, 3, 4, 5, 6, and 7 have also been reported [18], followed by a new race N5, PxA and PxB [19,20]. The major Chinese races are pxCh1, 1, and 2F [21, 22, 23, 24]. In China, P. xanthii is generally considered to be the primary cause of PM in melon [22,24], and the recent reports on PM in Shanghai support this assertion [25,26]. Currently, the most common method for controlling powdery mildew is the application of chemical fungicides, which can be laborious and time-consuming [27]. Chemical control could result in the emergence of resistant pathogens, as well as increase the cost of melon production and pollute the environment [28, 29], rendering it ineffective. Searching for QTLs that confer PM resistance and introducing them into commercial varieties is an ideal strategy for PM control in cantaloupe.

Pm-w from WMR 29 [30], Pm-x from PI414723, and Pm-y from VA 435 [31] are examples of genes and QTLs in melon that confer resistance to powdery mildew. PI124112 was found to contain PmV.1 and PmXII.1 [32]. Pm-1 was isolated from AF125Pm1, a Cantalupensis Charentais-type breeding line [33], while Pm-pxA and Pm-pxB were mapped from AR 5 [33, 19]. The pm-8 QTL was carried by PI 134198 [21], Pm-R by TGR-1551 [34], and pm-2F by K7-1 [35]. [36] have identified an additional resistant QTL in PM5. The pm-PMR6 QTL was identified by means of PMR6 [37], qPM2 by means of TARI- 08874 [38], and BPm12.1 by means of MR-1 [11]. The QTLs CmPMRI, CmPMrs, pm2.1, and pm12.1 were successively identified in PMR6 [39], whereas qCmPMR-12 was isolated from wm-6 [40]. bHLH, ERF, and MYB families in PM-resistant TG-1 were found to play a crucial role in the interaction between melon and powdery mildew pathogens, as determined by transcriptomic analysis [41]. In addition, two genes, MELO3C002434 and MELO3C002393 (against race5), are associated with PM resistance in melon [40, 42]. More QTL and genes for resistance against PM in melon were also identified, including Pm-2, Pm-3, Pm-4, Pm-5, Pm-6, [43, 44], Pm-x1, Pm-x3, Pm-x5 [45], Pm- Edisto47-1, Pm-Edisto47-2 [46], Pm-An [47]. In addition, a number of these genes and QTLs have been identified on chromosomes 1, 2, 3, 4, 5, 10, and 12. Controversy surrounds the genetic basis of PM resistance in melons. Some studies suggest that PM resistance in melon is controlled by a single dominant gene [48, 49, 21, 34, 38, 11, 40], whereas others suggest that it is controlled by a recessive gene. In addition, [32] state that the resistance of melon to PM is governed by various QTL.

Bulk segregant analysis (BSA) and conventional QTL analysis are two important QTL mapping techniques. BSA analysis [19, 21, 38, 50] and QTL mapping techniques [51, 37, 11, 40] were extensively utilized in melon. Due to the low cost of whole-genome re-sequencing (NGS), BSA has been combined with NGS to map genes of interest. With the release of the genome sequence, numerous markers for high-resolution genetic linkage and QTL mapping became accessible. BSA-Seq has been applied to cucumber [52, 53, 54], rice [55, 56], soybean [57, 58], and melon [57,58, 40]. Therefore, the combined use of BSA and nextgeneration sequencing (BSA-Seq) has accelerated the identification of quantitative trait loci (QTL) markers with strong links [59]. Marker-assisted selection (MAS) is a powerful genomic tool that aids phenotypic selection in the development of disease-resistant cultivars and can aid breeders in incorporating and pyramiding resistance genes, thereby reducing disease severity [60, 61, 62]. Currently, MAS is utilized extensively to identify the molecular markers associated with a specific trait during the development of disease-resistant cultivars [33]. Numerous molecular markers have been developed to detect allelic variation in different samples at the DNA level [63]. In breeding programs, the most prevalent markers are high-throughput genotyping markers like SNPs, KASP, and HRM markers, as well as PCR-based markers like InDels and SSR markers. In contrast to PCR markers that can be resolved on a gel, SNP and KASP genotyping require a relatively complex platform. Based on our knowledge and technical expertise, breeders readily accept the use of agarose gel electrophoresis for genotyping due to its simple requirements and straightforward laboratory operation. The development of PCR-based markers as a milestone in the development of breeding program markers was deemed significant by us. This will improve the efficiency and effectiveness of plant genotyping by accelerating the procedure during breeding programs. In plant genotyping, it has been reported that PCR-based InDel markers are reliable and effective [64, 65, 66, 56, 67, 68]. Identification of PCR-based Indel markers associated with PM resistance from PM-resistant melon resources may hasten the development of PM-resistant melon varieties [19, 69]. In this study, PCR-based InDel markers associated with PM resistance were developed using PM the whole genome sequencing data of PM resistant line and PM susceptible line in BSA analysis and QTL mapping LVpm12.1. These markers, in occurrence MInDel92, could be utilized to identify this resistant locus in melon.

Materials and Methods

Plant materials, plant growth conditions and inoculation with powdery Mildew fungus

Two melon breeding parents, M17050 (P1) and 28-1-1 (P2), which belongs to the Cantalupensis group of muskmelon species, C. melo ssp. melo, were used for whole genome re-sequencing. These two parents had different reactions to powdery mildew. Both these lines are lightly ribbed with sweet and flavorful flesh and have a reddish orange flesh color and a reticulated (net-like) peel. M17050 is a PM-resistant breeding line (R-line) with sutured and light gray-green peel, whereas 28-1-1 is a PM-susceptible breeding line (S-line) with no-sutured and dark gray-green peel (Figure 1 a-d). An F2 population consisting of 125 individuals, which was developed from F1-6 that was derived from crosses between M17050 and 28-1-1, has been subjected to artificial inoculation. The individuals from the segregant F2 population, which expressed different responses to PM disease, were used for BSA analysis and QTL mapping. All the plants were grown in the solar greenhouse of the Suqian Green Port Modern Agriculture Research Institute. For the QTL mapping of PM resistance in melon, M17050 (P1, resistant to PM) and 28-1-1 (P2, susceptible to PM) were used as parental lines to generate F2 populations. P1, P2, F1-6, and F2 individuals were all grown in a glasshouse with a temperature range of 22-28 degrees Celsius (day/night) and a relative humidity range of 60 to 75 percent. The PM fungus (P. xanthii) used in this study was isolated from the leaves of diseased melon plants according to the method of [70] with minor modifications (Figure 1e-f). In this experiment, the PM fungus was maintained on susceptible melon plants in the artificial growth chamber of the Suqian Greenport Modern Agriculture Research Institute (Figure 1g). The fungus was collected and suspended in sterile distilled water containing 0.02 percent Tween 20 before being used to inoculate plants at a concentration of 1 x 106 as described by [71].

advances-crop-science-and-technology-Fruits

Figure 1: Fruits morphology and PM disease evaluation. Fruit appearance and fruit longitudinal section of P1 line (a-b) and P2 line (c-d) showing skin and fleshs characteristics; Powdery mildew pathogen single spore isolation (e) followed by conidiophore and conidia observation under light microscope (f), Maintenance of PM disease on melon leaves using artificial inoculation in growth chamber (g); Leaves from P1 and resistant F2 plant (h-i) and that from P2 and susceptibility F2 plant (j-k); X and 40X, represents high magnification observation.

Disease evaluation for resistance to Powdery Mildew

The plants were observed weekly from the fourteenth day after inoculation (dpi) until the flowering stage. Based on extremely high levels of resistance and susceptibility, the severity of powdery mildew disease was classified as follows: In Class 0, there is no infection on the leaf surface, whereas Class 1, there is infection and heavy sporulation on the entire leaf. For the inheritance study, lines without powdery mildew sporulation on the leaf were deemed highly resistant, while lines with powdery mildew sporulation on the entire leaf were deemed highly susceptible. Based on the same classification, resistant and susceptible plants in the F2 population were examined. Here, 30 plants from each parental line, 50 plants from hybrid F1-6, and 125 plants from the F2 population were sampled and analyzed. Only plants from classes 0 and 1 were accounted for in the disease evaluation.

Library construction, sequencing, data filtering, alignment and variants calling

The CTAB extraction method was used to isolate genomic DNA from the fresh leaves of 30-day-old greenhouse-grown M17050 and 28-1-1 plants. Electrophoresis of a 5μL aliquot of extracted DNA on a 1% agarose gel and measurement of concentration with a Nanodrop spectrophotometer 2000 were used to determine the DNA’s purity (Thermo Scientific, USA). For library construction, samples with more than 10 ng/μL of genomic DNA at OD260/280 values between 1.8 and 2.0 were considered. Initially, genomic DNA was sheared using an ultrasonic crusher (Ultrasonic Crusher Q800R3, Qsonica Co Ltd, USA) to produce DNA fragments averaging 350–500 base pairs in length (bp). According to the manufacturer’s instructions, these fragmented DNA samples were purified using AMPure XP beads (http://www. beckm.com/ancou lter.cn) and freshly prepared 80 percent ethanol. The fragmented DNA was subsequently subjected to DNA end repair, library size selection, adenylation, and Illumina paired-end adapter ligation. The amplified ligated DNA products were selected. For each melon breeding line, two paired-end libraries with 15-fold depth were generated using the TruSeq DNA LT Sample Prep kit. On an Illumina Hiseq X Ten, PE150sequencer, the resultant libraries were sequenced (Shanghai OE Biotech. Co. Ltd., China). All procedures followed the OE Biotech Company’s deep sequencing protocol (Shanghai OE Biotech. Co. Ltd, China). Version 3.6.1 of the Cucumis melo L. var. DHL92 genome sequence was obtained from the cucurbit genomics database (CuGenDB) (http://cucurbitgenomics.org/ftp/genome/ melon/DHL92/v3.6.1/) and used as the reference sequence. A custom C program with the default parameters was used to eliminate low-quality reads data in order to recover clean reads data. The read data were aligned to the reference genome using the BWA (BWA0.7.10-r789) application. Using SAM Tools, the alignment output results in SAM format were converted into Binary Alignment Map (BAM) file format. The Mark Duplicates in Picard (v1.102) tool was used to eliminate duplicate reads, and the two BAM files were utilized for subsequent analyses. Using the bioinformatics program Genome Analysis Tool Kit (GATK) version 3.1 (https://gatk.broadinstitute.org/hc/en-us), local realignment, InDel filtering, and calling were accomplished.

InDels flanking sequences and primers designing

The polymorphism analysis was carried out in accordance with the protocol described by [70], with minor modifications to identify InDel polymorphisms between the re-sequenced M17050 and 28-1-1. The reference genome sequence of melon variety DHL92 version 3.6.1 was examined to determine the InDel polymorphisms between the resequenced M17050 and 28-1-1. M17050 and 28-1-1 sequence reads were individually aligned to the reference sequence using the Short Oligo-nucleotide Alignment Program (SOAP) software, with no gaps counted. M17050 and 28-1-1 aligned reads datasets were compared, and polymorphic insertion/deletion sequences were detected, as described by [68]. 150-nucleotide sequences flanking both ends of an insertion/deletion site were extracted to create InDels markers. These sequences were extracted from the reference genome sequence using a simple Visual C++ script. The sequences were then used as templates for designing primers. Primer 5 (http://www.PromerBiosoft.com) was used to create PCR primers with a variety of properties (lengths ranging from 18 to 28 bp, Tms ranging from 57 to 63°C, and PCR products ranging from 80 to 300 bp).

DNA extraction and polymerase chain reaction

Total genomic DNA was extracted from fresh leaves of 35-dayold seedlings of 6 individuals each from the M17050, 28-1-1, 125 F2 mapping population, and a group of 192 melon breeding lines using the NuClear Plant Genomic DNA Kit (CWO531M) protocol (CWBiotech, Beijing, China). The DNA was adjusted to a final concentration of 50 ng/μL. In this study, two PCR reactions were carried out depending on the size of the PCR products, thereby determining the nature of the gel used for electrophoresis (with 160 volts). For agarose gel electrophoresis, 25μL of PCR reaction mixture containing 12.5μL 2xTaq MasterMix plus loading buffer (CWBiotech, Beijing, China), 1μL of each forward and reverse primer at 10μM, 1μL of DNA, and 9.5μL of nuclease free water was used. In the case of polyacrylamide gel analysis, a PCR tube was filled with a 10μL PCR reaction mixture containing 1μL of DNA extract, 3.4μL of 2xTaq Master Mix without loading buffer (CWBiotech, Beijing, China), 0.8μL of each forward and reverse primer at 10μM, and 4μL of nuclease free water. The following conditions were used for the amplification reaction: initial denaturation at 94 °C for 2 minutes, 35 cycles of denaturation at 94 °C for 30 seconds, annealing at 55 °C for 30 seconds, and extension at 72 °C for 30 seconds followed by 72 °C for 2 minutes. PCR products from a 25μL reaction mix were separated on a 2 percent agarose gel in 0.5XTAE buffer and stained with ethidium bromide, whereas those from a 10μL reaction mix were separated on an 8 % polyacrylamide gel and stained with silver. The agarose and polyacrylamide gels were observed under UV and white light, respectively.

Bulked segregant analysis and QTL mapping

Four DNA pools were utilized for bulk segregant analysis, including two parent bulks and two F2 segregating bulks. The parent bulks were independently derived from the PM-resistant line M17050 and the PMsusceptible line 28-1-1. The two F2 segregating bulks were generated by combining an equal amount of DNA extracted from 30 extremely resistant (R-bulk) and 30 susceptible (S-bulk) F2 plants. Initially, polymorphism between the two re-sequenced lines was validated with 1200 arbitrarily chosen InDel markers using a PCR-based method. These validated markers were used to search for the polymorphism between two groups of DNA, such as group1 consisting of DNA from PM-resistant line M17050 and R-bulk and group2 consisting of DNA from PM-susceptible line 28-1-1 and S-bulk. On the other hand, the two parents and their derivative F2 population were genotyped using the informative InDel markers discovered on melon chromosome 12 for QTL analysis. Utilizing JoinMap 4.0 software [72], a new genetic linkage map was generated. [73] mapping function was used to calculate map distances, and the genetic map was created using the MapChart 2.2 program [74]. The software WinQTLCart2.5 was used to detect QTL from genotypic and phenotypic data using composite interval mapping (CIM) [36]. WinQTLCart was executed using the CIM control parameters Model 6, forward stepwise regression, 10 cM window size, 2 cM step size, and 5 control markers. The threshold was determined through 1000 iterations of permutation tests.

Molecular screening validation assay

A panel of 192 melon breeding lines, including M17050 and 28- 1-1, were molecularly screened using the newly developed markers and the six putative PM resistance-based markers MR-1, Mu7191, CMBR111, DM0191, SSR12407, SSR12202 Fang et al., unpublished; Syngenta, unpublished; [75, 37], which have been reported on melon chromosome 12 (Table S1). For the publicly available markers, genetic bands were denoted R for resistant allele and S for susceptible allele while the two polymorphic DNA fragments amplified using markers MIndel89, MInDel92 and MInDel93 were labeled x and y.

Markers/genes Forward sequence (F) Reverse sequence(R) F Position R Position QTL/gene
CMBR111 TTTTCCTCCATTTTAACTTAGCC AAGAGAGAAGCCATGGATGAA 22689820 22689911 Pm-PMR6-1
MIndel-89* TGGAGAACTATGGAATATGGAGGA GCTTACGGATGAATTTGGACTTGA 22717662 22717921 LVpm12.1
MIndel-92* CTTGGGAGGATGAGTGAAGGTAAA TTCGTACTTGAGTTGACTTACGGT 22778911 22779210 LVpm12.1
SSR12202 AGATTTGGAAGGATGTTAGA AAGTCGGGTGGTAGTTGTTT 22799912 22800109 Pm-PMR6-1
MR-1 AATCTATCCCAAATCAAAGTC AAGTTATATTGGTCTAGAAGTTT 22804440 22804747 BPm12.1
Mu7191 CTCTATCAGCTCAAAGGCCG TTCGTCCTCGTTCTCTTGCT 22939658 22939784 Pm-PMR6-1
SSR12407 TAAAAATGACCATAGCACC AAGTAAATGGCAGACAGAAC 23026248 23026229 Pm-PMR6-1
MIndel-93* GGTCCTTTTGATGCCATTTGAAGA TCGTATAGGTCGTTGATGCAAACT 23338823 23339049 LVpm12.1
DM0191 TTGAAGGTCTTTGCTGAAG GCCTACCACATTTAATTCC 23563739 23563878 Pm-PMR6-1
MIndel-95 CCTTGTGTTGGATTGTGACATGAA GTTTGTAGGTAGAGAGGGGAGTTG 23801350 23801608 LVpm12.1

* Markers developed in this study


Table S1: QTLs and genes reported in the QTL-hotspot region on melon chromosome12.

Results

Inoculation and disease response in P1, P2, F1 and F2 population

Powdery milew disease happened naturally in a greenhouse while 20 melon hybrid combinations were being tested for resistance to fruit blotch disease. F1-6, which is a cross between M17050 and 28-1-1, has shown a high resistance to PM without sporulation on the leaf surface (Data not shown). To investigate the observed PM disease resistance, single spore isolation and the development of an F2 population were undertaken. To provide fresh spores for plant inoculation, the isolated spores were maintained on a highly susceptible melon variety (Figure 1e-g). Upon inoculation, P1 exhibited a resistant response with no sporulation on the leaf surface, while P1 was highly susceptible to powdery mildew disease (Figure 1h-i). The disease resistance in F1-6 confirmed the previous observation, whereas in the F2 population, all the resistant plants were categorized as class0 and all the susceptible plants as class1 (Figure 1j-k). PM response in the F2 population corresponded to Mendelian segregation with a ratio of 3:1 (resistant plants: susceptible plants), indicating that PM disease resistance in this study may be controlled by a single dominant gene.

Re-sequencing and InDel markers development from P1 and P2

The clean read quantity generated was 137,000,000 for P1 and 298,000,000 for P2 recordings, with an average of 217,500,000. The quality score of greater than 30 (>Q30) was 94.92 percent for P1 and 94.61 percent for P2 with an average of 94.77 percent, whereas the GC content was 36.87 percent for P1 and 36.61 percent for P2 with an average of 36.74 percent (Table 1). Using the Burrows–Wheeler Alignment (BWA), a total of 99,004,197 and 185,000,000 (average 142,022,098) reads from P1 and P2, respectively, were mapped at a depth of 10 to the reference genome sequence of Cucumis melo L. var. DHL92. (Table 2) displays that the overall genome coverage (10X) was 77.25 percent for P1 and 77.77 percent for P2, with a mean of 77.51 percent. Genome-wide insertion/deletion polymorphism created a total of 320,016 InDels between P1 and DHL92, with an InDels density of 853.38 InDels/Mb, and 324,885 InDels between P2 and DHL92, with an InDels density of 866.36 InDels/Mb. Between P1 and DHL92, the distribution of these InDels across the 12 melon chromosomes ranged from 15065 on chromosome09 to 40239 on chromosome04, whereas between P2 and DHL92, the range was 16372 on chromosome09 to 37300 on chromosome04 (Table S2 and Table S3). The alignment of reads from P1 and P2 yielded a total of 29393 InDels with a density of 78 InDels/Mb. These InDels are distributed across the 12 chromosomes of the melon, with chromosome09 containing the fewest (997), and chromosome06 containing the most (1,011). (5906). There was an equal to 15.75 InDels/Mb on chromosome06 (Table 3). In relation to the length of the nucleotide sequence, three distinct types of insertions and deletions were identified and classified as small (1-10bp), medium (11- 30bp), and large (>30bp). Large, medium, and small InDels represented 2.62 percent, 8.58 percent, and 88.80 percent, respectively, of the total genome-wide InDels annotated between P1 and P2.

Samples Raw_Reads Clean_Reads GC_Content >Q30
P1 1.41E+08 1.37E+08 36.87% 94.92%
P2 3.08E+08 2.98E+08 36.61% 94.71%

Table 1: Quality control summary of sequenced reads.

Samples Mapped reads Mapped Rate 10X_coverage
P1 99004197 96.26% 77.25%
P2 1.85E+08 97.19% 77.77%

Table 2: Mapping summary of sequenced reads.

chr 1-10bp 11-20bp 21-30bp >30bp total
chr00 14201 819 283 291 15594
chr01 20419 1199 384 509 22511
chr02 15019 780 288 309 16396
chr03 26440 1740 625 706 29511
chr04 35976 2395 852 1016 40239
chr05 22513 1430 527 608 25078
chr06 20770 1214 411 464 22859
chr07 25242 1648 601 633 28124
chr08 16732 819 281 300 18132
chr09 13801 714 257 293 15065
chr10 21727 1517 547 665 24456
chr11 32644 2332 816 902 36694
chr12 22775 1505 503 574 25357

Table S2:  Total InDels detected between P1 and DHL92.

chr 1-10bp 11-20bp 21-30bp >30bp total
chr00 15446 919 326 339 17030
chr01 20914 1243 414 507 23078
chr02 18356 1051 404 451 20262
chr03 26037 1743 624 694 29098
chr04 33419 2162 762 957 37300
chr05 24144 1527 574 669 26914
chr06 20311 1160 375 437 22283
chr07 24385 1580 591 611 27167
chr08 21151 1243 454 475 23323
chr09 14889 825 301 357 16372
chr10 20112 1305 468 593 22478
chr11 29987 2104 708 867 33666
chr12 23209 1547 519 639 25914

Table S3: Total InDels detected between P2 and DHL92.

chr 1-10bp 11-20bp 21-30bp >30bp total
chr00 942 73 21 20 1056
chr01 2467 147 46 71 2731
chr02 1578 105 38 48 1769
chr03 1491 137 34 57 1719
chr04 1681 113 34 53 1881
chr05 3570 256 99 113 4038
chr06 5236 403 137 130 5906
chr07 1080 70 22 34 1206
chr08 1524 95 38 35 1692
chr09 868 73 21 35 997
chr10 2265 159 59 67 2550
chr11 1620 121 52 49 1842
chr12 1780 119 51 56 2006

Table 3:  InDels detected between P1 and P2.

Bulk segregant analysis, mapping of LVpm12.1

Bulked segregant analysis (BSA) is a technique used to identify genetic markers associated with a trait of interest. To discover genomic regions conferring PM disease resistance or susceptibility in this work, bulked segregant analysis was conducted using four DNA pools, consisting of two parent bulks and two F2 segregating bulks. One thousand two hundred InDel markers were selected for polymorphism analysis between the two parent bulk DNA using a PCR-based method. The result revealed 100 markers to be strongly polymorphic with clear band patterns between P1 and P2 (Table S4). Further, BSA analysis was performed on the four bulk DNA samples, including parent bulks and two F2 bulks, using the highly polymorphic markers. Here, clear, reproducible, and polymorphic genetic bands were produced by six InDel markers on melon chromosome 12 between the resistant DNA bulks (P1 and R-bulk) and susceptible DNA bulks (P2 and S-bulk) (data not shown). Graphical representation of parents, F1-6, and 3 recombinant individuals each from resistant and susceptible F2 plants has highlighted the suspected genomic region conferring PMresistance (Fig.2 a). The markers MInDel76, MInDel81, MInDel89, MInDel92, MInDel93, and MInDel95 were found to be closely linked to this region. Named LVpm12.1, this QTL region was located between MinDel81 and MinDel93 (Fig.2 a). To confirm this finding, traditional QTL mapping was conducted through linkage map construction using JoinMap_4.0 software and QTL analysis using WinQTL software successively. The six markers detected in BSA analysis on melon chromosome 12 were used. Two QTL positions were obtained; one is non-significant and closed to MinDel81, while the second is highly significant and closed to MInDel93. The latter was located between both MInDel89 and MInDel92, and MInDel93 (Fig.2b). The BSA analysis and QTL mapping have placed LVpm12.1 around markers MInDel89, MInDel92, and MInDel93. Genetically, the LVpm12.1 was 8.7cM away from these markers, but it was in a region that went from 22.72 Mb to 23.34 Mb.

Chr. Marker name Position Forward primers Reverse primers Expected amplicons size
chr12 MInDel1 20008481 GGCAGGTCCCATACAGATTCT ACCTTCAGAGTTTAGTCAGTTAGGT 299
chr12 MInDel2 20008481 GGCAGGTCCCATACAGATTCT ACCTTCAGAGTTTAGTCAGTTAGGT 299
chr12 MInDel3 20018932 GAAGAGTGGTGAACGGAAAATAGC CTACGGCCGGCATTTTAGTTATTT 269
chr12 MInDel4 20054385 GGGGAAGAGTTATTATTGGTAGTGT CGTAATCTTTGCCCCATACAAGTT 268
chr12 MInDel5 20081744 ATACAATCGAACAACCCAACCCAA GATCAAGCATCGAACAACACAAGA 299
chr12 MInDel6 20083684 TTTTGAGGAAGACGTGGAGAAAGA CAAGTGGCTAATATCATTGGTCCT 167
chr12 MInDel7 20117354 GGATTTAACTACTACTCCCAGGCC GAATGATTCTACACAGTAGGGGCT 277
chr12 MInDel8 20134533 GGTAAGGAATGCGCACTCTACTAT CAGGAAATCTACCAATGCTTGACC 268
chr12 MInDel9 20141461 GAGCAAGGAATTTCGACCAATGAT AGCTTTCGTTCTTCCTTTACTCCA 257
chr12 MInDel10 20155201 AAGAGCCCTAAACACAACTTCCTA CGAACAGTTCTGGAGATACTACGA 293
chr12 MInDel11 20191207 GATCCGCCACTGATTCAAGT TTAAACCCTAGCAAATTCACTCGC 289
chr12 MInDel12 20204301 AACCAAACCCATAAGACCTGAAGA CAGGTTTGGATTGGATTGGATTGT 117
chr12 MInDel13 20209697 GAACGCACACATCAATCAGTCTAG CGGGATTCCTCGACTGATATATGT 226
chr12 MInDel14 20218503 GACTGGCCAAATGTAAACGATTGT TTTTGTTACACGATCGTTGAACCC 129
chr12 MInDel15 20620368 CTTCGAGATTGCACACTTTGTCTT CCTATAGCTTCTTCACGCAAATGG 129
chr12 MInDel16 20694430 AAGAAGGAAATGGTTGCATTGGAG TCTCTCCCTCTCTCTCACATTCTT 124
chr12 MInDel17 20740278 TTACCCCATTGATTTCACAGGTCT CTTTCCCACCCTTTTCTCAGTTTT 280
chr12 MInDel18 20740352 TTACCCCATTGATTTCACAGGTCT CTTTCCCACCCTTTTCTCAGTTTT 280
chr12 MInDel19 20740685 AAACAACCTAACATTGCTCACCTC CTAATTGAGAAGGTGTTGCAGACC 203
chr12 MInDel20 20808160 AGTAGGCATTGTAGAGCTTTGTGA CATTCCACCCATTGTCATTGTCAT 296
chr12 MInDel21 20983482 CTGCAACAATGTTTCACACTTTCC TCTTCTTGAGTTGCTATCCTTCGT 235
chr12 MInDel22 20993210 TAGGGTTTGGGAGACTCATCATTC AGGTCCATAAGTCATTTCCAACGA 286
chr12 MInDel23 20998229 GTGATTCGACCTTTAGTGGCAAAA ATCTAAACTTGGCCAACTCACTTG 228
chr12 MInDel24 21001671 TGCTGGCGGAAGAAATTAAATGAG GTCTAGAGCAGGGCAAAGATTTTG 204
chr12 MInDel25 21012231 CCTACAACTTCACCCACTTTTGAG CGAGAATGTTTTACTAGCTCAACCA 263
chr12 MInDel26 21012734 ACGTGTTTACAATGTACCGTGA TGGGGATAAAGTGAGGAAGAGTTG 173
chr12 MInDel27 21013801 ACTGGATTACATGACCACTAAGTG CTAACAACTTATCACAAGTACTCGC 288
chr12 MInDel28 21014354 CGACTTGATAATAAGCACACGTGT TGTGAACCTATTAGTCCACCAAGT 87
chr12 MInDel29 21016018 AAAATCGACCTACCTTCAACGA TACTGTTGTTGTCCCACATATCGA 297
chr12 MInDel30 21202574 GTGGGGATTTGATTACGTGTTCAA CAACTGGGAAGGATGACATGAAAA 273
chr12 MInDel31 21229417 GCGATCATGTTTTCCTCAACCTTC CTACTTCGAGTGGCCTAAATGACT 250
chr12 MInDel32 21229663 AGTCATTTAGGCCACTCGAAGTAG TTTCTCCACATGTAACTGTACCCA 174
chr12 MInDel33 21351602 AGCCATCAAAGCCCAAAGTCTATA TGAATCCTTGAAAGTTTCCGACAC 100
chr12 MInDel34 21362591 CCAGACCCACCATGTAAAATACCA AAAATCGATTAGCCAAACCTCGTG 217
chr12 MInDel35 21362703 CACGATTGTTTAGATTTGGACCCA AAAATCGATTAGCCAAACCTCGTG 84
chr12 MInDel36 21363548 GGCCATTGAACCACACTTACAAAT AATCCATAGACGACCACAAGAGTC 246
chr12 MInDel37 21374693 CAAACGAAGCCTAGACTCAAACTC TTTTGTGCCGTGGAAAGATAGAGA 285
chr12 MInDel38 21377989 GTGATATGTACCCTTTCTGAACACA AGTTCAACAATGTATGAGAGGGTGA 145
chr12 MInDel39 21378699 CCCCTTCTCCTTCTCACTTTATTT TTAAAGGTATATCTAGGGAGGGCC 129
chr12 MInDel40 21382890 CGATTGCAAAACCTACAAGAGAGT GGGCGTGTTTTAACCTCCTTTTAT 267
chr12 MInDel41 21383696 TGACACTACAAATACGACTCGCTT AATAACTCTCATCCTCCACTGACG 189
chr12 MInDel42 21402647 CTGCCTAAGATTGCGCTACCTTTT CAAATCTCGATTACTCTTGCACCC 263
chr12 MInDel43 21424800 ACTCAAAGTGGTGTTCAGATGTGA GGAAGGTGTGTTGTTTTCTGAGTT 282
chr12 MInDel44 21426178 TGAAGTTGAAGAGGTAAGTTGGGT CTGCCACGTGTAGAACATTTTAGA 232
chr12 MInDel45 21426418 CCACAAAAGCGGCTGATGATATTA TCTCTCTCTCTATCTACCAGCTCA 130
chr12 MInDel46 21427266 AAAATACTCCGTCAACCATGCATC TGACCGTGTACCAAAAGAATCTTG 107
chr12 MInDel47 21429242 GCAATGATCCTTTGAAACTCACATC ATAAGGTTGTGGTTTGGGTTTGTC 270
chr12 MInDel48 21430150 TGATGGGGAAGAGATCAGAAAGTG AACAAGAAACAAAATAGGTCGGCC 281
chr12 MInDel49 21430740 GAGCATTGAGGTTAACGTAAAGACA GACTTTGCAAAAGAACGTGTAGAC 219
chr12 MInDel50 21440365 TGGTTAGAATAGTTTGTGTTGGAGG TTGGGGCAAAGATTATCTAGGACT 270
chr12 MInDel51 21441123 CACAAAAGCGAAGATGACAACCTT TTGGCTTGAATGATCTGGTTGTTC 139
chr12 MInDel52 21443795 AGAAGAAGGAGAAGAGAGAAGGGA CCCTCCTTCTCTTGATCACTTTCA 113
chr12 MInDel53 21443959 TGAAAGTGATCAAGAGAAGGAGGG TATTGGAAGAGGCATTAGAAGGGG 180
chr12 MInDel54 21445083 TGTACTTCCTTCTACCTAAAGCGA CGTGGTTAGATTTGTTGTTGCA 248
chr12 MInDel55 21445095 TGTACTTCCTTCTACCTAAAGCGA CGTGGTTAGATTTGTTGTTGCA 248
chr12 MInDel56 21445714 TGTAAAGAGAGGCACATGTGTTAGA TGTCTATCATCTTGCCATCATAGTC 86
chr12 MInDel57 21446584 ATTGGGTTGGGCTCTTTTATTTGG AAGAGACAGGCCGGAACTTCAATA 300
chr12 MInDel58 21449903 CCCCAACCTATAATGATCAACACC ATATAGGTGGAAAGAAGAGGGCTA 191
chr12 MInDel59 21450126 TCTAGCCCTCTTCTTTCCACCTAT CCAAAAGTGTTGCAATAGGAGTTCA 296
chr12 MInDel60 21453528 AGAGATCGCATGTGTGTATGGTTA TAGACAAAGTTAACAGAACGCCCA 263
chr12 MInDel61 21453748 TGTCTATTAGAGCCGTACCACATG AGGAAACACTAAGACAATCGAGCT 155
chr12 MInDel62 21459671 AAAGGCGATAAGTAGTGGTGAAGT ATGTCCGTCGTCAAAACTTTCTTC 234
chr12 MInDel63 21459939 GAAGAAAGTTTTGACGACGGACAT GGTTTGCCTTGTGAAAATGAGCTT 177
chr12 MInDel64 21460111 ACAACTACACTCCAAATTCCCCAT TGAGAGAGAGAGAGAGAGAGAGAG 248
chr12 MInDel65 21468921 ACCCACGAGCATGTAGAAATAAGA GCAAGGTGATATAAATGGTTGGAGC 258
chr12 MInDel66 21469302 ACACACACACACACACACTTTT TGGCAATCAACAAAAGGGATGA 294
chr12 MInDel67 21471163 GCAGGCCTAACTTGGATATGTCTA CGGTCACACGCGTATGTATAATTC 122
chr12 MInDel68 21471536 GTCATTGGATCATACACGTCACAA GAAGGGAGAAGATAGAGCACAAGA 289
chr12 MInDel69 21475297 CTGTTTCTACTTCAGTTGCCAAGG TTTCTTGCTCAATTCCTTCCAACG 235
chr12 MInDel70 21475417 TGTTAGATTTTATCGCCCTCACCC CACAAGCAACTTACACTTCTCAGG 228
chr12 MInDel71 21475787 CCTGAGAAGTGTAAGTTGCTTGTG TTTCCAAGCCATAAAGTCTGCGTA 286
chr12 MInDel72 21654289 GGGTGAGGTTGATATTAGATTCGA CGAGAATTGAGAAACAGTTGCAAG 300
chr12 MInDel73 21654959 CGGAGTCGCATTTTATATTCGAAGT AGACGAATGGAGGAGGAGAAATTC 260
chr12 MInDel74 21676618 AGTACTTACGTCCAAATCGAAGGA TGTCATCATGGAGAGTTTAGCTTCA 298
chr12 MInDel75 21677490 CAAGCATACCTTTAACCGATGACA GACCTCTAGACGATTGGATGTGAA 218
chr12 MInDel76 21769615 TCTGCATGAGATTTGGCTTAGAGA GCATTGGGAATAGCAAGAGAAGAC 183
chr12 MInDel77 21771675 CATTCTACATGGGATCGCCTAGA CAACTCTCTAGCAACCCCTCAATA 299
chr12 MInDel78 21771678 CATTCTACATGGGATCGCCTAGA CAACTCTCTAGCAACCCCTCAATA 299
chr12 MInDel79 22046862 TTGAGGTGTGAGTAAGGTAGTTGG ATGTCAAAACTCAACCTTACCCCT 274
chr12 MInDel80 22084487 TTATTGTGTCCTTTGGTTCGAGTG CGTGACAAATTATGGTTTCGTGAC 289
chr12 MInDel81 22102962 GAGATTGTACGCGTTAAATAGAGCT CCAAAGATTACAGAGTGCGAATCC 283
chr12 MInDel82 22718440 CAGTGCGAAATCTTCTCATTCCAA GAGGAAATGCAACATATACCAGCC 262
chr12 MInDel83 23539027 AGTACCAATATAGGGGAAGTGTCA ACCCTTTCTTGAGTTCCATCATCT 253
chr12 MInDel84 23539029 AGTACCAATATAGGGGAAGTGTCA CAACAACCCTTTCTTGAGTTCCAT 258
chr12 MInDel85 23540675 AAGGCATACTGTACTAGCATCGAC AATAGACTTTGGCTTTGAGTTCGC 258
chr12 MInDel86 23575605 AGAACAAGATGCAAGTCCTCTT ACAGTCTATCTTGGTTTATCGCGA 260
chr12 MInDel87 23872301 ATGGAGGTGCTTATTCTTGATGGT GAGGATGGGAAGAACTACAATGGT 258
chr12 MInDel88 23875771 CCAATCTCCTCTTCTCCTAACACC GGCTCTGATCATCAACAAAACACA 290
chr12 MInDel89 23878792 TGGAGAACTATGGAATATGGAGGA GCTTACGGATGAATTTGGACTTGA 283
chr12 MInDel90 23928923 CTCCAGAGCCAGTATCATAAAGCA CCCTCCAACAAAGTGCAAAGATG 206
chr12 MInDel91 23931047 GAGAAAAGAGAGAATGAAGCACAGA TTCCTCGTGTATCCATTCAAGGTT 238
chr12 MInDel92 23940777 CTTGGGAGGATGAGTGAAGGTAAA TTCGTACTTGAGTTGACTTACGGT 300
chr12 MInDel93 24500866 GGTCCTTTTGATGCCATTTGAAGA TCGTATAGGTCGTTGATGCAAACT 250
chr12 MInDel94 24728637 ATCATTGTAGACATGCTTGGGAGT GGGAACTTGAAAGGAATTTTGGGT 296
chr12 MInDel95 24963555 CCTTGTGTTGGATTGTGACATGAA GTTTGTAGGTAGAGAGGGGAGTTG 282
chr12 MInDel96 24963558 CCTTGTGTTGGATTGTGACATGAA GTTTGTAGGTAGAGAGGGGAGTTG 282
chr12 MInDel97 25573886 TCCTTACACTTAGCTTGCTGGTAG CCGGAAATCATCATGAGCTGTTTT 129
chr12 MInDel98 27318495 TCCTGAGGAACGGCTTGAATATAT GCTGGCGATTTTGTGTGGATTATA 294
chr12 MInDel99 27473685 TCCCTTATCTTCAGACAACAGAACA AGGTAATCAAGTTTGGGAAGACGA 290
chr12 MInDel100 27473687 TCCCTTATCTTCAGACAACAGAACA AGGTAATCAAGTTTGGGAAGACGA 290

Table S4:Highly Polymorphic InDel markers experimentally validated between P1 and P2 on melon chromosome12.

Characterization and validation of InDel markers associated to LVpm12.1

Among the six previously reported genetic markers utilized for molecular screening (MS) assay, only marker Mu7191 behaved appropriately under our imposed PCR conditions. The MS results of 192 melon breeding lines (96 melons with reticulated peel and 96 melons without reticulated peel) using the newly developed markers were compared to those of marker Mu7191 in order to validate their resistance diagnostic ability. Each marker produced polymorphic PCR products throughout the molecular screening. The consistency of these polymorphic PCR products was examined after a comprehensive analysis. On the basis of Mu7191-derived PCR amplicons as references, it is evident that the MS analysis result obtained with marker MInDel 92 was more consistent than those obtained with markers MIndel89 and MIndel93 (Table 4). Consistency of their molecular screening results was stressed in seven melon breeding lines, including AM7, AM9, AM11, AM65, AM66, AM67, and AM68 (Table S4). The length of PCR products from this marker was determined based on a combination of expected amplicons size indicated by DNA sequencing data and DNA molecular weight marker (DL2000 DNA marker). The size of DNA fragment generated by MIndel92 from individuals displaying the R allele when using Mu7191 was between 200bp and 300bp while that of DNA fragments generated by MIndel92 from individuals with the S allele using Mu719 was 300bp (Fig S1). In order to adapt these markers to various electrophoresis platforms, polyacrylamide and agarose gels were loaded with derivative PCR solutions. Using these two electrophoresis platforms, the markers have generated distinct and informative patterns of genetic bands.

MS of reference marker MS consistency level of Candidate markers
Mu7191 Mindel89 Mindel92 Mindel93
Genotype Individuals Genotype Individuals Genotype Individuals Genotype Individuals
R/R 12 x/x 5 x/x 6 x/x 1
R/S 1 x/y 0 x/y 1 x/y 0
S/S 179 y/y 163 y/y 167 y/y 167

R/R denotes homozygote resistant alleles, R/S denotes heterozygote alleles, and S/S denotes homozygote susceptible alleles. x/x and y/y denote the homozygosity of the two polymorphic alleles amplified by the newly developed markers, and x/y denotes their heterozygosity.

Table 4: Comparison of MS results of Mu7191 and that of the newly developed Markers.

Discussion

Powdery mildew (PM) is a fungus that induce disease in both the field and the greenhouse. One of the pragmatic approaches to control this disease is the use of resistant cultivars. Since MAS has been extensively used to search for molecular markers that are linked to a specific trait during the breeding of disease-resistant cultivars, the development of molecular markers that are highly linked to diseaseresistant genes is viewed as an effective method for enhancing disease resistance in plants. On the basis of our knowledge and technical expertise, the use of PCR-based markers that can be separated on both Agarose and polyacrylamide gel electrophoresis could be readily accepted by breeders due to its simple requirements and straightforward laboratory operation. In this study, PM-resistant line M17050 (P1) and the PM-susceptible line 28-1-1 (P2) were re-sequenced to generate PCR-based InDel markers for BSA analysis and QTL mapping using the F2 population. The QTL named LVpm12.1 was identified in a region containing the InDel markers InDel89, MInDel92, and MInDel93. The screening results of marker Mu7191 and MInDel92 were more consistent based on the molecular analysis of a panel of melon breeding lines with varying susceptibilities to powdery mildew. Moreover, the PCR products of this marker could be easily separated using either agarose or polyacrylamide gels. Therefore, MInDel92 appears to be closer to Mu7191 on chromosome 12 of the melon than MInDel89 and MInDel93. Marker Mu7191 is linked to PM-resistance QTL Pm-PMR6-1, so it is more obvious that MInDel92 can identify melon varieties carrying this QTL. The possibility of developing InDel markers for both polyacrylamide and agarose gel electrophoresis with dependency on the size of insertion/deletion is mentioned [65]. However, high-density insertion and deletion is needed, which could be exploited for the discovery of valuable InDel markers for genotype screening through agarose and polyacrylamide gels. Thus, the availability of a large number of genome-wide InDel makers is essential to achieve this goal. Whole genome re-sequencing has helped to generate numerous InDel markers in crops due to its cost-effectiveness [65, 68]. Moreover, the reliability and efficiency of PCR-based InDel markers in plant genotyping [66, 56, 67, 68] as well as their strongest amplification aptitude [56] are reported. PCR-based Indel markers associated with PM resistance from PM-resistant melon resources are developed to accelerate resistance gene introgression in melon [19, 69]. The region harboring LVpm12.1 and its closely linked InDel markers is found on melon chromosome 12, where some other QTLs with PMresistance are mapped. The locus containing LVpm12.1 is positioned from 22.72Mb to 23.34Mb. The QTL pm-PMR6 from PM-resistant variety PMR6 [37] ranged from 22.69 to 23.56Mb, while BPm12.1 from PM-resistant variety MR-1 spanned from 22.80 to 22.88Mb [11], both of which are mapped on melon in the same chromosomal region.

The locus of qCmPMR-12 from wm-6 is extended from 22.00 to 22.90 Mb [40], while pm12.1 derived from PMR6 is located from 22.36 to 24.25 Mb [39]. This indicates that the physical chromosomal position of LVpm12.1 overlaps that of pm-PMR6, BPm12.1, qCmPMR-12, and pm12.1.The fact that these five QTLs are inherited in the same manner despite having different parental origins suggests that the resistance to PM disease in this chromosomal region is conferred by the same QTL or a cluster of QTLs. This indicates the existence of a QTL-hotspot on melon chromosome 12 that confers resistance to PM disease. It also demonstrates that the methods used to map it are trustworthy, thus strengthening the credibility of the InDels markers for PM resistance breeding. In our upcoming research, we intend to evaluate an extensive screening ability of these markers through molecular and field resistance screening of a panel of melon genotypes, which will compose of commercial varieties, breeding lines, landraces, and cultivars. The PM resistance of the seven melon breeding lines selected in this study based on the molecular screening results of both markers Mu7191 and MInDel92 should be confirmed using field resistance screening.

Acknowledgments

This work was supported by Suqian Science and Technology Program: Modern Agriculture Project Funds (L201801) and Natural Science Project Funds (K201910) of Suqian Science and Technology Bureau.

Author contributions

YMNA designed the experiment, analyzed the data, drafted the manuscript and supervised the work; XL, XY, and YMNA performed all the laboratory experiments, collected the molecular data, WYF, WTZ, ZJD, GLX, and WHL proceed the phenotypic evaluation experiments; Md.AA, LHZ and GLX gave critical revision of the manuscript.

Competing interests

The authors declare no competing interests.

References

  1. Garcia-MasJ, Benjak A, Sanseverino W, Bourgeois M, Baulcombe DC (2012) The genome of melon (Cucumis melo L.). Proc Natl Acad Sci 109: 11872-11877.
  2. Crossref, Google Scholar, Crossref

  3. https://www.feedipedia.org/node/23192
  4. Perez-Garcia A, Romero D, Fernandez-Ortuno D, Lopez-Ruiz F, De Vicente A, Tores JA (2009) The powdery mildew fungus Podosphaera fusca (synonym Podosphaera xanthii), a constant threat to cucurbits. Mole Plant Pathol 10: 153-160.
  5. Crossref, Google Scholar, Crossref

  6. Candido V, Campanelli G, Viggiani G, Lazzeri L, Camele I (2014) Melon yield response to the control of powdery mildew by environmentally friendly substances. Entia Horticult 166: 70-77.
  7. Google Scholar

  8. Romero D, Rivera ME, Cazorla FM, Codina JC, Fernandez-Ortuno D, et al. (2008) Comparative histochemical analyses of oxidative burstand cell wall reinforcement in compatible and incompatible melon-powdery mildew (Podosphaera fusca) interactions. J Plant Physiol 165: 1895-1905.
  9. Crossref, Google Scholar, Crossref

  10. https://www.cabdirect.org/cabdirect/abstract/20023170358
  11. Cohen R, Burger Y, Katzir N (2004) Monitoring physiological races of Podosphaera xanthii (syn. Sphaerotheca fuliginea), the causal agent of powdery mildew in cucurbits: Factors a_ecting race identification and the importance for research and commerce. Phytoparasitica 32: 174-183.
  12. Google Scholar

  13. Kuzuya M, Yashiro K, Tomita K, Ezura H (2006) Powdery mildew (Podosphaera xanthii) resistance in melon is categorized into two types based on inhibition of the infection processes. J Exp Bot 57: 2093-2100.
  14. Crossref, Google Scholar, Crossref

  15. Kristkova E, Lebeda A, Sedláková B (2009) Species spectra, distribution and host range of cucurbit powdery mildews in the Czech Republic, and in some other European and Middle Eastern countries. Phytoparasitica 37: 337-350.
  16. Google Scholar

  17. Kasiamdari RS, Riefani MK, Daryono BS (2016) The Occurrence and Identification of Powdery Mildew on Melon in Java, Indonesia. In AIP Conference Proceedings AIP Publishing: Melville NY USA 1744: 20-50.
  18. Google Scholar

  19. Li B, Zhao Y, Zhu Q, Zhang Z, Fan C, et al. (2017) Mapping of powdery mildew resistance genes in melon (Cucumis melo L.) by bulked segregant analysis. Sci Horticult 220: 160-167.
  20. Google Scholar

  21. Hong YJ, Hossain MR, Kim HT, Park JI, Nou IS (2018) Identification of two new races of Podosphaera xanthii causing powdery mildew in melon in South Korea. Plant Pathol J 34: 182-190.
  22. Crossref, Google Scholar, Crossref

  23. Bardin M, Dogimont C, Nicot P, Pitrat M (1999) Genetic analysis of resistance of melon line PI 124112 to Sphaerotheca Fuliginea and Erysiphe Cichoracearum studied in recombinant inbred lines. Acta Hortic 492: 163-168.
  24. Google Scholar

  25. Hosoya K, Narisawa K, Pitrat M, Ezura H (1999) Race identification in powdery mildew (Sphaerotheca fuliginea)on melon (Cucumis melo L.) in Japan. Plant Breed 118: 259-262.
  26. Google Scholar

  27. McCreight JD (2006) Melon-Powdery Mildew Interactions Reveal Variation in Melon Cultigens and Podosphaera xanthii Races 1 and 2. J Amer Soc Hort Sci 131: 59-65.
  28. Google Scholar

  29. Bardin M, Nicot P, Normand P (1997) Virulence variation and DNA polymorphism in Sphaerotheca fuliginea, causal agent of powdery mildew of cucurbits.Eur J Plant Pathol103: 545-554.
  30. Google Scholar

  31. Del Pino D, Olalla L, Pérez García A (2002)Occurrence of races and pathotypes of cucurbit powdery mildew in southeastern Spain.Phytoparasitica30: 459-466.
  32. Google Scholar

  33. https://agris.fao.org/agris-search/search.do?recordID=JP2005001566
  34. Fukino N, Ohara T, Monforte AJ, Sugiyama M, Sakata Y, et al. (2008) Identification of QTLs for resistance to powdery mildew and SSR markers diagnostic for powdery mildew resistance genes in melon (Cucumis melo L.). Theor Appl Genet 118: 165-175.
  35. Crossref, Google Scholar, Crossref

  36. Kim HT, Park JI, Robin AHK, Ishikawa T, Kuzuya M, et al. (2016) Identification of a new race and development of DNA markers associated with powdery mildew in melon.Plant Breed Biotechnol 4: 225-233.
  37. Google Scholar

  38. Liu LZ, Chen YY, Su ZH, Zhang H, Zhu WM (2010) A sequence-amplified characterized region marker for a single, dominant gene in melon PI134198 that confers resistance to a unique race of podosphaera xanthii in china. Hortscience 45: 1407-1410.
  39. Google Scholar

  40. https://www.cnveg.org/EN/abstract/abstract8458.shtml
  41. https://www.researchgate.net/publication/267277848_Physiological_Races_Identification_of_Powdery_Mildew_On_Cucurbits_in_Heilongjiang_Province
  42. Zhang H, Guo S, Gong G, Ren Y, Davis AR, et al. (2011) Sources of resistance to race 2WF powdery mildew in U.S. watermelon plant introductions. Hortscience 46: 1349-1352.
  43. Google Scholar

  44. Gu HF, Zhang X, Zhang WF, Jin CY, Xu L, et al. (2010) Identification of physiological races of watermelon and melon powdery mildew in Shanghai. Acta Agricult Shanghai 26: 155-158.
  45. Google Scholar

  46. https://www.semanticscholar.org/paper/Species-and-physiological-race-identification-of-in-Pingfan/ed58458e89297dfa6ae8c51c0d4095d1a4f6076a
  47. Chen XM (2014) Integration of cultivar resistance and fungicide application for control of wheat stripe rust. Can J Plant Pathol 36: 311-326.
  48. Google Scholar

  49. McGrath TM (2001) Fungicide resistance in cucurbit powdery mildew: experiences and challenges. Plant Dis 85: 236-245.
  50. Crossref, Google Scholar, Crossref

  51. https://www.semanticscholar.org/paper/The-Powdery-Mildews%3A-A-Comprehensive-Treatise-B%C3%A9langer/def1d042fb162011ce76e4e4346b5b2c0267aca1
  52. Pitrat M (1991) Linkage groups in Cucumis melo L.J Hered 82: 406-411.
  53. Google Scholar

  54. Perin C, Hagen S, De Conto V, Katzir N, Danin-Poleg Y, et al. (2002)A reference map ofCucumis melobased on two recombinant inbred line populations.Theor Appl Genet104: 1017-1034.
  55. Crossref, Google Scholar, Crossref

  56. Perchepied L, Bardin M, Dogimont C, Pitrat M (2005) Relationship between loci conferring downy mildew and powdery mildew resistance in melon assessed by quantitative trait loci mapping.Phytopathology95: 556-565.
  57. Crossref, Google Scholar, Crossref

  58. Teixeira A, Matosobarreto AP, Aranha LE (2008) An AFLP marker linked to the Pm-1 gene that confers resistance to Podosphaera xanthii race1 in Cucumis melo. Genet Mol Biol 31: 547-550.
  59. Google Scholar

  60. Yuste-Lisbona FJ, Capel C, Gomez-Guillamon ML, Capel J, Lopez-Sese AI, et al. (2011)Codominant PCR-based markers and candidate genes for powdery mildew resistance in melon (Cucumis meloL.).Theor Appl Genet122: 747-758.
  61. Crossref, Google Scholar, Crossref

  62. Zhang C, Ren Y, Guo S (2013) Application of comparative genomics in developing markers tightly linked to the Pm-2f gene for powdery mildew resistance in melon (Cucumis melo L.). Euphytica 190: 1-12.
  63. Google Scholar

  64. https://brcwebportal.cos.ncsu.edu/qtlcart/WQTLCart.htm
  65. https://link.springer.com/article/10.1007/s10681-013-1000-5
  66. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Mapping+quantitative+trait+loci+for+fruit+traits+and+powdery+mildew+resistance+in+melon+%28cucumis+melo%29&btnG=
  67. Cui HN, Ding Z, Fan C, Zhu ZC, Zhang H et al. (2020) Genetic Mapping and Nucleotide Diversity of Two Powdery Mildew Resistance Loci in Melon (Cucumis melo). Phytopathology 110: 1970-1979.
  68. Crossref, Google Scholar, Crossref

  69. Cao Y, Diao Q, Chen Y, Jin H, Zhang Y, Zhang H (2021) Development of KASP Markers and Identification of a QTL Underlying Powdery Mildew Resistance in Melon (Cucumis melo L.) by Bulked Segregant Analysis and RNA-Seq. Front Plant Sci
  70. Crossref, Google Scholar, Crossref

  71. Zhao Z, Dong Y, Wang J (2022)Comparative transcriptome analysis of melon (Cucumis meloL.) reveals candidate genes and pathways involved in powdery mildew resistance.Sci Rep
  72. Crossref, Google Scholar, Crossref

  73. https://assets.researchsquare.com/files/rs-1433034/v1/dea556c7-b2f4-42cb-a677-789a4e435f56.pdf?c=1659760899
  74. Cohen Y, Eyal H, Hanania J (1990) Ultrastructure, autofluorescence, callose deposition and lignification in susceptible and resistant muskmelon leaves infected with the powdery mildew fungus Sphaerotheca fuliginea. Physiol Mol Plant Pathol 36: 191-204.
  75. Google Scholar

  76. https://cucurbit.info/wp-content/
  77. Fazza AC, Dallagnol LJ, Fazza AC, Monteiro CC, Lima BMD, et al. (2013)Mapping of resistance genes to races 1, 3 and 5 ofPodosphaera xanthiiin melon PI 414723.Crop Breed Appl Biotechnol,13: 349-355.
  78. Google Scholar

  79. Ning X, Wang X, Gao X, Zhang Z, Zhang L, et al. (2014) Inheritances and location of powdery mildew resistance gene in melon Edisto47. Euphytica 195: 345-353.
  80. Google Scholar

  81. McCreight JD, Coffey MD (2011) Inheritance of resistance in melon PI 313970 to cucurbit powdery mildew incited by Podosphaera xanthii race S. Hort Science 46: 838-840.
  82. Google Scholar

  83. Epinat CM, Pitrat M, Bertrand F (1992) Genetic analysis of resistance of 5 melon lines to powdery mildews. Acta Horticult 65: 135-144.
  84. Google Scholar

  85. Zhang HY, Su F, Guo SG, Gong GY, Yi HP, et al. (2008) Genetic analysis and specific fragments linked to powdery mildew resistant gene Pm-2F in melon. Acta Horticult Sin 12: 1773-1780.
  86. Google Scholar

  87. Sandra E, Branham, Chandrasekar K, Mihir K, Mandal, W, Patrick W (2021) Quantitative Trait Loci Mapping of Resistance to Powdery Mildew Race 1 in a Recombinant Inbred Line Population of Melon.
  88. Crossref, Google Scholar, Crossref

  89. https://agris.fao.org/agris-search/search.do?recordID=CN2013001928
  90. Lu H, Lin T, Klein J, Wang S, Qi J, et al. (2014) QTL-seq identifies an early flowering QTL located near Flowering Locus T in cucumber. Theor Appl Genet, 127: 1491-1499.
  91. Crossref, Google Scholar, Crossref

  92. Xu X, Lu L, Zhu B, Xu Q, Qi X, et al. (2015) QTL mapping of cucumber fruit flesh thickness by slaf-seq. Sci Rep 5: 15829.
  93. Crossref, Google Scholar, Crossref

  94. Win KT, Vegas J, Zhang C, Song K, Lee S (2017) QTL mapping for downy mildew resistance in cucumber via bulked segregant analysis using next-generation sequencing and conventional methods. Theor Appl Genet 130: 199-211.
  95. Crossref, Google Scholar, Crossref

  96. Yang Z, Huang D, Tang W, Zheng Y, Liang K, et al. (2013) Mapping of Quantitative Trait Loci Underlying Cold Tolerance in Rice Seedlings via High-Throughput Sequencing of Pooled Extremes. PLoS One
  97. Crossref, Google Scholar, Crossref

  98. Yang J (2016) Progress in research and application of In Del markers. Biodivers Sci 24: 237-243.
  99. Google Scholar

  100. Dobbels AA, Michno JM, Campbell BW, Virdi KS, Stec AO, et al. (2017) An Induced Chromosomal Translocation in Soybean Disrupts a KASI Ortho log and Is Associated with a High-Sucrose and Low-Oil Seed Phenotype. 7: 1215-1223.
  101. Crossref, Google Scholar, Crossref

  102. Song J, Li Z, Liu Z, Guo Y, Qiu L (2017) Next-Generation Sequencing from Bulked-Segregant Analysis Accelerates the Simultaneous Identification of Two Qualitative Genes in Soybean. Front Plant Sci 8: 919-919.
  103. Crossref, Google Scholar, Crossref

  104. Zou C, Wang P, Xu Y (2016) Bulked sample analysis in genetics, genomics and crop improvement. Plant Biotechnol J 14: 1941-1955.
  105. Crossref, Google Scholar, Crossref

  106. https://www.cabidigitallibrary.org/doi/abs/10.1079/9780851996011.0085
  107. Chen XM (2013) High-temperature adult-plant resistance, key for sustainable control of stripe rust. Am J Plant Sci 04: 608-627.
  108. Google Scholar

  109. Zhu H, Zhai W, Li X, Zhu Y (2019) Two QTLs controlling clubroot resistance identified from bulked segregant sequencing in pakchoi (brassica campestris ssp. chinensis makino). Sci Rep 9: 9228.
  110. Crossref, Google Scholar, Crossref

  111. Wang Y, Ning Z, Hu Y, Chen J, Zhao R, et al. (2015) Molecular Mapping of Restriction-Site Associated DNA Markers in Allotetraploid Upland Cotton. PLoS One 10(4): 124-781.
  112. Crossref, Google Scholar, Crossref

  113. https://www.ingentaconnect.com/content/jpgr/jpgr/2013/00000014/00000002/art00014
  114. Liu J, Li J, Qu J, Yan S (2015) Development of genome-wide insertion and deletion polymorphism markers from next-generation sequencing data in rice. Rice 8: 27.
  115. Crossref, Google Scholar, Crossref

  116. Song X (2015) Development of In Del markers for genetic mapping based on whole genome resequencing in soybean. G3, 5: 2793-2799.
  117. Crossref, Google Scholar, Crossref

  118. Hu W (2020) Development of whole-genome Agarose-resolvable LInDel markers in rice. Rice 13, 318907673.
  119. Crossref, Google Scholar, Crossref

  120. Adedze YMN, Lu X, Xia Y (2021) Agarose-resolvable InDel markers based on whole genome re-sequencing in cucumber. Sci Rep 11(1): 38-72.
  121. Crossref, Google Scholar, Crossref

  122. He X, Li Y, Pandey S, Yandell BS, Pathak M, et al. (2013) QTL mapping of powdery mildew resistance in WI 2757 cucumber (Cucumis sativus L.). Theor Appl Genet 126: 2149-2161.
  123. Crossref, Google Scholar, Crossref

  124. Guo G J(2019) Development and application of InDel markers forCapsicumspp. based on whole-genome re-sequencing.Sci Rep9: 3691.
  125. Crossref, Google Scholar, Crossref

  126. https://www.scienceopen.com/book?vid=baa76c8c-fb55-4c13-a6ca-24c71002ab5a.
  127. Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugen 12: 172-175.
  128. Google Scholar

  129. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=74.%09Voorrips+RE+%282002%29+MapChart%3A+Software+for+the+graphical+presentation+of+linkage+maps+and+QTLs.+The+Journal+of+Heredity%2C+93%3A+77-78.&btnG
  130. https://link.springer.com/article/10.1186/1471-2229-4-9.
  131. Choi YR, Jae YL, Hwang SB, Kim HU (2020) "PCR-Based InDel Marker Associated with Powdery Mildew-Resistant MR-1".Agronomy.
  132. Google Scholar

Citation: Haicho, Lu X, Fan W, Zhang W, Yang X, et al. (2023) Development ofPCR-based Markers Associated with Powdery Mildew Resistance using BulkedSegregant Analysis (BSA-seq) in Melon. Adv Crop Sci Tech 11: 575. DOI: 10.4172/2329-8863.1000575

Copyright: © 2023 Haicho, et al. This is an open-access article distributed underthe terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

Top