Genome-wide association study for soybean cyst nematode resistance in Chinese elite soybean cultivars

Soybean cyst nematode (SCN) (Heterodera glycines Ichinohe) is a highly recalcitrant endoparasite of soybean roots, causing more yield loss than any other pest. To identify quantitative trait loci (QTL) controlling resistance to SCN (HG type 2.5.7, race 1), a genome-wide association study (GWAS) was performed. The association panel, consisting of 120 Chinese soybean cultivars, was genotyped with 7189 single nucleotide polymorphism (SNPs). A total of 6204 SNPs with minor allele frequency >0.05 were used to estimate linkage disequilibrium (LD) and population structure. The mean level of LD measured by r ² declined very rapidly to half its maximum value (0.51) at 220 kb. The overall population structure was approximately coincident with geographic origin. The GWAS results identified 13 SNPs in 7 different genomic regions significantly associated with SCN resistance. Of these, three SNPs were localized in previously mapped QTL intervals, including rhg1 and Rhg4. The GWAS results also detected 10 SNPs in 5 different genomic regions associated with SCN resistance. The identified loci explained an average of 95.5% of the phenotypic variance. The proportion of phenotypic variance was due to additive genetic variance of the validated SNPs. The present study identified multiple new loci and refined chromosomal regions of known loci associated with SCN resistance. The loci and trait-associated SNPs identified in this study can be used for developing soybean cultivars with durable resistance against SCN.     

Development of an STS map of an interspecific progeny of <Emphasis Type="Italic">Malus</Emphasis>

Simple sequence repeat (SSR) markers developed from Malus, as well as Prunus, Pyrus and Sorbus, and some other sequence-tagged site (STS) loci were analysed in an interspecific F₁ apple progeny from the cross ‘Fiesta’ × ‘Totem’ that segregated for several agronomic characters. A linkage map was constructed using 259 STS loci (247 SSRs, four SCARs and eight known-function genes) and five genes for agronomic traits—scab resistance (Vf), mildew resistance (Pl-2), columnar growth habit (Co), red tissues (Rt) and green flesh background colour (Gfc). Ninety SSR loci and three genes (ETR1, Rt and Gfc) were mapped for the first time in apple. The transferability of markers from other Maloideae to Malus was found to be around 44%. The loci are spread across 17 linkage groups, corresponding to the basic chromosome number of Malus and cover 1,208 cM, approximately 85% of the estimated length of the apple genome. Interestingly, we have extended the top of LG15 with eight markers covering 25 cM. The average map density is 4.7 cM per marker; however, marker density varies greatly between linkage groups, from 2.5 in LG14 to 8.9 in LG7, with some areas of the genome still in need of further STS markers for saturation.     

Characterization and genetics of multiple soybean aphid biotype resistance in five soybean plant introductions

Key message

Five soybean plant introductions expressed antibiosis resistance to multiple soybean aphid biotypes. Two introductions had resistance genes located in the Rag1, Rag2, and Rag3 regions; one introduction had resistance genes located in the Rag1, Rag2, and rag4 regions; one introduction had resistance genes located in the Rag1 and Rag2 regions; and one introduction had a resistance gene located in the Rag2 region.

Abstract

Soybean aphid (Aphis glycines Matsumura) is the most important soybean [Glycine max (L.) Merr.] insect pest in the USA. The objectives of this study were to characterize the resistance expressed in five plant introductions (PIs) to four soybean aphid biotypes, determine the mode of resistance inheritance, and identify markers associated with genes controlling resistance in these accessions. Five soybean PIs, from an initial set of 3000 PIs, were tested for resistance against soybean aphid biotypes 1, 2, 3, and 4 in choice and no-choice tests. Of these five PIs, PI 587663, PI 587677, and PI 587685 expressed antibiosis against all four biotypes, while PI 587972 and PI 594592 expressed antibiosis against biotypes 1, 2, and 3. F₂ populations derived from PI 587663 and PI 587972 were evaluated for resistance against soybean aphid biotype 1, and populations derived from PIs 587677, 587685, and 594592 were tested against biotype 3. In addition, F_2:3 plants were tested against biotypes 2 and 3. Genomic DNA from F₂ plants was screened with markers linked to Rag1, Rag2, Rag3, and rag4 soybean aphid-resistance genes. Results showed that PI 587663 and PI 594592 each had three genes with variable gene action located in the Rag1, Rag2, and Rag3 regions. PI 587677 had three genes with variable gene action located in the Rag1, Rag2 and rag4 regions. PI 587685 had one dominant gene located in the Rag1 region and an additive gene in the Rag2 region. PI 587972 had one dominant gene located in the Rag2 region controlling antixenosis- or antibiosis-type resistance to soybean aphid biotypes 1, 2, or 3. PIs 587663, 587677, and 587685 also showed antibiosis-type resistance against biotype 4. Information on multi-biotype aphid resistance and resistance gene markers will be useful for improving soybean aphid resistance in commercial soybean cultivars.

     

A new soybean rust resistance allele from PI 423972 at the <Emphasis Type="Italic">Rpp4</Emphasis> locus

Phakopsora pachyrhizi is a fungal pathogen and the cause of Asian soybean rust. P. pachyrhizi was first detected in the continental USA in 2004 and has since been a threat to the soybean industry. There are six described loci that harbor resistance to P. pachyrhizi (Rpp) genes. The resistance of PI 423972 was previously shown to be within 5 cM of the Rpp4 locus of PI 459025B, yet had differential reactions when challenged with P. pachyrhizi isolates India 1973 and Taiwan 1972. In this study, the resistance of PI 423972 was mapped to a 187.5 kb interval between the SNP markers GSM0543 and GSM0387 on chromosome 18 (51,397,064 to 51,584,617 bp, Glyma.Wm82.a2) that overlaps the interval for Rpp4 and is designated as Rpp4-b. A unique haplotype is described for PI 423972 that separates it from PI 459025B, 32 North American soybean ancestors, and all described sources of Rpp gene resistance.     

Discovery of a seventh <Emphasis Type="Italic">Rpp</Emphasis> soybean rust resistance locus in soybean accession PI 605823

Key message

A novel Rpp gene from PI 605823 for resistance to Phakopsora pachyrhizi was mapped on chromosome 19.

Abstract

Soybean rust, caused by the obligate biotrophic fungal pathogen Phakopsora pachyrhizi Syd. & P. Syd, is a disease threat to soybean production in regions of the world with mild winters. Host plant resistance conditioned by resistance to P. pachyrhizi (Rpp) genes has been found in numerous soybean accessions, and at least 10 Rpp genes or alleles have been mapped to six genetic loci. Identifying additional disease-resistance genes will facilitate development of soybean cultivars with durable resistance. PI 605823, a plant introduction from Vietnam, was previously identified as resistant to US populations of P. pachyrhizi in greenhouse and field trials. In this study, bulked segregant analysis using an F₂ population derived from ‘Williams 82’ × PI 605823 identified a genomic region associated with resistance to P. pachyrhizi isolate GA12, which had been collected in the US State of Georgia in 2012. To further map the resistance locus, linkage mapping was carried out using single-nucleotide polymorphism markers and phenotypic data from greenhouse assays with an F_2:3 population derived from Williams 82 × PI 605823 and an F_4:5 population derived from ‘5601T’ × PI 605823. A novel resistance gene, Rpp7, was mapped to a 154-kb interval (Gm19: 39,462,291–39,616,643 Glyma.Wm82.a2) on chromosome 19 that is different from the genomic locations of any previously reported Rpp genes. This new gene could be incorporated into elite breeding lines to help provide more durable resistance to soybean rust.

     

A <Emphasis Type="Italic">bean common mosaic virus</Emphasis> (BCMV)-resistance gene is fine-mapped to the same region as <Emphasis Type="Italic">Rsv1</Emphasis>-<Emphasis Type="Italic">h</Emphasis> in the soybean cultivar Suweon 97

Key message

In the soybean cultivar Suweon 97, BCMV-resistance gene was fine-mapped to a 58.1-kb region co-localizing with the Soybean mosaic virus (SMV)-resistance gene, Rsv1-h raising a possibility that the same gene is utilized against both viral pathogens.

Abstract

Certain soybean cultivars exhibit resistance against soybean mosaic virus (SMV) or bean common mosaic virus (BCMV). Although several SMV-resistance loci have been reported, the understanding of the mechanism underlying BCMV resistance in soybean is limited. Here, by crossing a resistant cultivar Suweon 97 with a susceptible cultivar Williams 82 and inoculating 220 F₂ individuals with a BCMV strain (HZZB011), we observed a 3:1 (resistant/susceptible) segregation ratio, suggesting that Suweon 97 possesses a single dominant resistance gene against BCMV. By performing bulked segregant analysis with 186 polymorphic simple sequence repeat (SSR) markers across the genome, the resistance gene was determined to be linked with marker BARSOYSSR_13_1109. Examining the genotypes of nearby SSR markers on all 220 F₂ individuals then narrowed down the gene between markers BARSOYSSR_13_1109 and BARSOYSSR_13_1122. Furthermore, 14 previously established F_2:3 lines showing crossovers between the two markers were assayed for their phenotypes upon BCMV inoculation. By developing six more SNP (single nucleotide polymorphism) markers, the resistance gene was finally delimited to a 58.1-kb interval flanked by BARSOYSSR_13_1114 and SNP-49. Five genes were annotated in this interval of the Williams 82 genome, including a characteristic coiled-coil nucleotide-binding site-leucine-rich repeat (CC-NBS-LRR, CNL)-type of resistance gene, Glyma13g184800. Coincidentally, the SMV-resistance allele Rsv1-h was previously mapped to almost the same region, thereby suggesting that soybean Suweon 97 likely relies on the same CNL-type R gene to resist both viral pathogens.

     

Development of a large number of SSR and InDel markers and construction of a high-density genetic map based on a RIL population of pepper (<Emphasis Type="Italic">Capsicum annuum</Emphasis> L.)

Capsicum annuum, the most widely cultivated species of pepper, is used worldwide for its important nutritional and medicinal values. The construction of an intraspecific high-density genetic linkage map would be of practical value for pepper breeding. However, the numbers of PCR-based simple sequence repeat (SSR) and insertion/deletion (InDel) markers that are available are limited, and there is a need to develop a saturated, intraspecific linkage map. The non-redundant Capsicum species’ expressed sequence tag (EST) database from the National Center for Biotechnology Information was used in this study to develop a total of 902 usable EST-SSR markers. Additionally, 177,587 SSR loci were identified based on the pepper genomic information, including 9182 SSR loci 500 bp both upstream and downstream of coding regions. Another 4497 stable and reliable InDel loci were also developed. From 9182 SSR and 4497 InDel loci, 3356 pairs of genomic SSR primers and 1400 pairs of InDel primers that were evenly distributed in 12 chromosomes were selected. A high-density intraspecific genetic map of C. annuum was constructed using the F₁₀-generation recombinant inbred line of parents PM702 and FS871 as the mapping population, screening the selected 3356 pairs of genomic SSR primers and 1400 pairs of InDel primers and the 902 EST-SSR markers developed earlier, and 524 published SSR markers and 299 orthologous markers (including 263 COSII markers and 36 tomato-derived markers) used previously to develop an interspecific genetic map (C. annuum × C. frutescens). Eventually, a high-density complete genetic intraspecific linkage map of C. annuum containing 12 linkage groups and 708 molecular markers with a length of 1260.00 cM and an average map distance of 1.78 cM was produced. This intraspecific, high-density, complete genetic linkage map of C. annuum contains the largest number of SSR and InDel markers and the highest amount of saturation so far, and it will be of considerable significance for the breeding of improved cultivars of this important field crop in the future.     

Mapping and identification of a potential candidate gene for a novel maturity locus, <Emphasis Type="Italic">E10</Emphasis>, in soybean

Key message

E10 is a new maturity locus in soybean and FT4 is the predicted/potential functional gene underlying the locus.

Abstract

Flowering and maturity time traits play crucial roles in economic soybean production. Early maturity is critical for north and west expansion of soybean in Canada. To date, 11 genes/loci have been identified which control time to flowering and maturity; however, the molecular bases of almost half of them are not yet clear. We have identified a new maturity locus called “E10” located at the end of chromosome Gm08. The gene symbol E10e10 has been approved by the Soybean Genetics Committee. The e10e10 genotype results in 5–10 days earlier maturity than E10E10. A set of presumed E10E10 and e10e10 genotypes was used to identify contrasting SSR and SNP haplotypes. These haplotypes, and their association with maturity, were maintained through five backcross generations. A functional genomics approach using a predicted protein–protein interaction (PPI) approach (Protein–protein Interaction Prediction Engine, PIPE) was used to investigate approximately 75 genes located in the genomic region that SSR and SNP analyses identified as the location of the E10 locus. The PPI analysis identified FT4 as the most likely candidate gene underlying the E10 locus. Sequence analysis of the two FT4 alleles identified three SNPs, in the 5′UTR, 3′UTR and fourth exon in the coding region, which result in differential mRNA structures. Allele-specific markers were developed for this locus and are available for soybean breeders to efficiently develop earlier maturing cultivars using molecular marker assisted breeding.

     

Single nucleotide polymorphism markers for rapid detection of the <Emphasis Type="Italic">Rsv4</Emphasis> locus for soybean mosaic virus resistance in diverse germplasm

Soybean mosaic virus (SMV) causes a substantial decrease in soybean yield and reduction of seed quality. The most effective management strategy to control the virus is the deployment of host resistance. Seven SMV strains and three independent multi-allelic loci for SMV resistance have been identified previously. The goal of this research was to detect single nucleotide polymorphisms (SNPs) associated with SMV resistance at the Rsv4 locus. Ten soybean accessions, with confirmed resistance genes, were used for sequencing the candidate gene Glyma.02g121400. Alignment of these sequences revealed three SNPs displaying 100% consistency for genotypes carrying the Rsv4 gene. These SNPs were applied for a rapid screen of diverse soybean germplasm using the Sequenom iPLEX Gold platform, phenotyped with SMV-G1 and G7 strains to determine phenotype and classified into several groups carrying the proposed R-gene. The population of V94-5152 (Rsv4) × Lee 68 (rsv) was screened using novel SNPs to create a genetic map with improved resolution to determine the location of the Rsv4. To observe the recombination frequencies within the population, three additional SNPs on both sides of the Glyma.02g121400 gene were added. A linkage map revealed a distance of 3.6 cM between the Rsv4 locus and the closest SNP, thus shifting the putative Rsv4 region downstream on chromosome 2. With this region, five candidate genes have been proposed. The genomic position of the discovered SNPs, linked to the Rsv4, could increase screening precision and accelerate breeding efforts to develop multi-strain-resistant crops.     

A high-density linkage map with 2560 markers and its application for the localization of the male-sterile genes <Emphasis Type="Italic">ms3</Emphasis> and <Emphasis Type="Italic">ms4</Emphasis> in <Emphasis Type="Italic">Cryptomeria japonica</Emphasis> D. Don

Cryptomeria japonica pollinosis is one of the most serious allergic diseases in Japan; this is a social problem because C. japonica is the most important Japanese forestry species. In order to reduce the amount of pollen dispersed, breeding programs using trees with male-sterile genes have been implemented. High-density linkage maps with stable ordering of markers facilitate the localization of male-sterile genes and the construction of partial linkage maps around them in order to develop markers for use in marker-assisted selection. In this study, a high-density linkage map for C. japonica with 2560 markers was constructed. The observed map length was 1266.2 cM and the mean distance between adjacent markers was 0.49 cM. Using information from this high-density map, we newly located two male-sterile genes (ms3 and ms4) on the first and fourth linkage groups, respectively, and constructed partial linkage maps around these loci. We also constructed new partial linkage maps around the ms1 and ms2 loci using additional SNP markers. The closest markers to the ms1, ms2, ms3, and ms4 male-sterile loci were estSNP04188 (1.8 cM), estSNP00695 (7.0 cM), gSNP05415 (3.1 cM), and estSNP01408 (7.0 cM) respectively. These results allowed us to develop SNP markers tightly linked to the male sterile genes for use in MAS; this will accelerate the future isolation of these genes by map-based cloning approaches.     

Integration of sudden death syndrome resistance loci in the soybean genome

Key message

Complexity and inconsistencies in resistance mapping publications of soybean sudden death syndrome (SDS) result in interpretation difficulty. This review integrates SDS mapping literature and proposes a new nomenclature system for reproducible SDS resistance loci.

Abstract

Soybean resistance to sudden death syndrome (SDS) is composed of foliar resistance to phytotoxins and root resistance to pathogen invasion. There are more than 80 quantitative trait loci (QTL) and dozens of single nucleotide polymorphisms (SNPs) associated with soybean resistance to SDS. The validity of these QTL and SNPs is questionable because of the complexity in phenotyping methodologies, the disease synergism between SDS and soybean cyst nematode (SCN), the variability from the interactions between soybean genotypes and environments, and the inconsistencies in the QTL nomenclature. This review organizes SDS mapping results and proposes the Rfv (resistance to Fusarium virguliforme) nomenclature based on supporting criteria described in the text. Among ten reproducible loci receiving our Rfv nomenclature, Rfv18-01 is mostly supported by field studies and it co-localizes to the SCN resistance locus rhg1. The possibility that Rfv18-01 is a pleiotropic resistance locus and the concern about Rfv18-01 being confounded with Rhg1 is discussed. On the other hand, Rfv06-01, Rfv06-02, Rfv09-01, Rfv13-01, and Rfv16-01 were identified both by screening soybean leaves against phytotoxic culture filtrates and by evaluating SDS severity in fields. Future phenotyping using leaf- and root-specific resistance screening methodologies may improve the precision of SDS resistance, and advanced genetic studies may further clarify the interactions among soybean genotypes, F. virguliforme, SCN, and environments. The review provides a summary of the SDS resistance literature and proposes a framework for communicating SDS resistance loci for future research considering molecular interactions and genetic breeding for soybean SDS resistance.

     

A high-density genetic linkage map of bronze loquat based on SSR and RAPD markers

We constructed a high-density genetic linkage map of bronze loquat (Eriobotrya deflexa) by using a three-way cross of loquat (Eriobotrya japonica) × (loquat × bronze loquat) and simple sequence repeat (SSR) and random amplified polymorphic DNA (RAPD) markers. The positions of the SSR loci used in this study were previously identified on reference maps of pears (Pyrus spp.) and apples (Malus spp.). The map of bronze loquat (‘Taiwan loquat No. 1’) consisted of 308 loci including 167 SSRs (8 loquat, 57 pear, and 102 apple SSRs), 140 RAPDs, and the loquat canker resistance gene Pse-a on 19 linkage groups covering a genetic distance of 1036 cM. Almost all loquat linkage groups were aligned to the pear consensus map by using at least two pear or apple SSRs, suggesting that positions and linkages of SSR loci were well conserved between loquat and pear and between loquat and apple. The constructed map may be used to determine the location of genes and quantitative trait loci of interest and to analyze genome synteny in the tribe Pyreae, subfamily Spiraeoideae of the family Rosaceae.     

Pyramiding different aphid-resistance genes in elite soybean germplasm to combat dynamic aphid populations

The soybean aphid (Aphis glycines Matsumura), an invasive species, has posed a significant threat to soybean [Glycine max (L.) Merr.] production in North America since 2001. Use of resistant cultivars is an effective tactic to protect soybean yield. However, the variability and dynamics of aphid populations could limit the effectiveness of host-resistance gene(s). Gene pyramiding is a promising way to sustain host-plant resistance. The objectives of this study were to determine the prevalent aphid biotypes in Michigan and to assess the effectiveness of different combinations of aphid-resistance genes. A total of 11 soybean genotypes with known resistance gene(s) were used as indicator lines. Based on their responses, Biotype 3 was a major component of Michigan aphid populations during 2015–2016. The different performance of Rag-“Jackson” and Rag1-“Dowling” along with the breakdown of resistance in plant introductions (PIs) 567301B and 567324 may be explained by Biotype 3 or an unknown virulent biotype establishing in Michigan. With the assistance of flanking markers, 12 advanced breeding lines carrying different aphid-resistance gene(s) were developed and evaluated for effectiveness in five trials across 2015 to 2017. Lines with rag1c, Rag3d, Rag6, Rag3c?+?Rag6, rag1b?+?rag3, rag1c?+?rag4, rag1c?+?rag3?+?rag4, rag1c?+?Rag2?+?rag3?+?rag4, and rag1b?+?rag1c?+?rag3?+?rag4 demonstrated strong and consistent resistance. Due to the variability of virulent aphid populations, different combinations of Rag genes may perform differently across geographies. However, advanced breeding lines pyramided with three or four Rag genes likely will provide broader and more durable resistance to diverse and dynamic aphid populations.     

Next-generation sequencing to identify candidate genes and develop diagnostic markers for a novel Phytophthora resistance gene, <Emphasis Type="Italic">RpsHC18</Emphasis>, in soybean

Key message

A novel Phytophthora sojae resistance gene RpsHC18 was identified and finely mapped on soybean chromosome 3. Two NBS–LRR candidate genes were identified and two diagnostic markers of RpsHC18 were developed.

Abstract

Phytophthora root rot caused by Phytophthora sojae is a destructive disease of soybean. The most effective disease-control strategy is to deploy resistant cultivars carrying Phytophthora-resistant Rps genes. The soybean cultivar Huachun 18 has a broad and distinct resistance spectrum to 12 P. sojae isolates. Quantitative trait loci sequencing (QTL-seq), based on the whole-genome resequencing (WGRS) of two extreme resistant and susceptible phenotype bulks from an F_2:3 population, was performed, and one 767-kb genomic region with ΔSNP-index ≥ 0.9 on chromosome 3 was identified as the RpsHC18 candidate region in Huachun 18. The candidate region was reduced to a 146-kb region by fine mapping. Nonsynonymous SNP and haplotype analyses were carried out in the 146-kb region among ten soybean genotypes using WGRS. Four specific nonsynonymous SNPs were identified in two nucleotide-binding sites–leucine-rich repeat (NBS–LRR) genes, RpsHC18-NBL1 and RpsHC18-NBL2, which were considered to be the candidate genes. Finally, one specific SNP marker in each candidate gene was successfully developed using a tetra-primer ARMS-PCR assay, and the two markers were verified to be specific for RpsHC18 and to effectively distinguish other known Rps genes. In this study, we applied an integrated genomic-based strategy combining WGRS with traditional genetic mapping to identify RpsHC18 candidate genes and develop diagnostic markers. These results suggest that next-generation sequencing is a precise, rapid and cost-effective way to identify candidate genes and develop diagnostic markers, and it can accelerate Rps gene cloning and marker-assisted selection for breeding of P. sojae-resistant soybean cultivars.

     

Characterization of aphid resistance loci in black raspberry (<Emphasis Type="Italic">Rubus occidentalis</Emphasis> L.)

Viruses vectored by the aphid Amphorophora agathonica cause decline in black raspberry plant health resulting in a shortened life and poor fruit quality of the infected plantings. New aphid resistant cultivars could increase the longevity of plantings providing growers and processors with consistent fruit production. Recent exploration of the native range of black raspberry identified three sources of aphid resistance: Ag₄ from Ontario (ON), Canada, Ag₅ from Maine (ME), and a third source from Michigan (MI) with no formal designation. The objectives of this study were to assess segregation of these three sources of aphid resistance in populations with single and combined sources and develop markers that can identify each source of resistance. A genetic linkage map constructed for ORUS 4305 placed the ON aphid resistance locus on Rubus linkage group (RLG) 6. Segregation ratios in populations with single and combined sources, and linkage mapping in two populations (ORUS 4304 and ORUS 4812) segregating for the Ag₅ and MI sources, respectively, indicated that these three sources of resistance are each conferred by single dominant genes/alleles that are linked on RLG6. Confirmation of marker association in 16 validation populations identified four markers that could be used to predict resistance; however, none could distinguish between the ON and MI sources. These four markers may be useful for screening populations to enrich the field-planted progeny for aphid resistance. Fine mapping of the resistance loci is needed to develop functional markers at each of the resistance loci to enable pyramiding and durable aphid resistance.     

Genetic analysis of shoot fresh weight in a cross of wild (<Emphasis Type="Italic">G. soja</Emphasis>) and cultivated (<Emphasis Type="Italic">G. max</Emphasis>) soybean

Shoot fresh weight (SFW) is one of the parameters, used to estimate the total plant biomass yield in soybean. In the present study, a total of 188 F_5:8 recombinant inbred lines (RIL) derived from an interspecific cross of PI 483463 (Glycine soja) and Hutcheson (Glycine max) were investigated for SFW variation in the field for three consecutive years. The parental lines and RILs were phenotyped in the field at the R6 stage by measuring total biomass in kg/plot to identify the QTLs for SFW. Three QTLs qSFW6_1, qSFW15_1, and qSFW19_1 influencing SFW were identified on chromosome 6, 15, and 19, respectively. The QTL qSFW19_1 flanked between the markers BARC-044913-08839 and BARC-029975-06765 was the stable QTL expressed in all the three environments. The phenotypic variation explained by the QTLs across all environments ranged from 6.56 to 21.32 %. The additive effects indicated contribution of alleles from both the parents and additive × environment interaction effects affected the expression of SFW QTL. Screening of the RIL population with additional SSRs from the qSFW19_1 region delimited the QTL between the markers SSR19-1329 and BARC-29975-06765. QTL mapping using bin map detected two QTLs, qSFW19_1A and qSFW19_1B. The QTL qSFW19_1A mapped close to the Dt1 gene locus, which affects stem termination, plant height, and floral initiation in soybean. Potential candidate genes for SFW were pinpointed, and sequence variations within their sequences were detected using high-quality whole-genome resequencing data. The findings in this study could be useful for understanding genetic basis of SFW in soybean.     

Mapping of the <Emphasis Type="Italic">Cf-6</Emphasis> tomato leaf mould resistance locus using SSR markers

The Cf-6 locus of tomato conferring resistance to the Belarus population of the leaf mould causative agent was mapped to the chromosomal region, located 2.2 and 3.4 cM apart from the microsatellite markers, SSR128 and SSR48, respectively. It was demonstrated that the Cf-6 gene, like the Cf-2/Cf-5 cluster, was located on the short arm of tomato chromosome 6. However, Cf-6 differed from these genes concerning phytopathology and molecular characteristics. Based on the Cf-2 gene sequence, a molecular marker, 2-2C, capable of identification of the Cf-6, Cf-2, and Cf-5 loci, was constructed.     

Inheritance and QTL mapping of resistance to gummy stem blight in cucumber stem

Gummy stem blight (GSB), a common disease of all major cucurbits, is caused by the fungus Didymella bryoniae. It results in serious losses in fruit production, which in cucumber can be up to 80% or more. Because the severity of the disease varies from season to season and also because of the harm to the environment caused by using pesticides to control the disease, the best method for overcoming GSB in cucumber is to develop more resistant cultivars by molecular breeding. There are no reports on molecular markers for use in breeding GSB resistance and no studies on chromosomal mapping of resistance. In this paper, a set of 160 F₉ recombinant inbred lines (RILs) were derived from the cross between the wild-type GSB-resistant cucumber accession PI 183967 and the cultivated GSB-susceptible accession 931. A total of 2112 pairs of SSR primers were used to study the inheritance of GSB resistance and to detect quantitative trait loci (QTLs) conferring resistance in the cucumber stem. Genetic analysis indicated that resistance to GSB in PI 183967 was quantitative and mainly governed by three pairs of additive epistatic major genes. Five QTLs, gsb-s1.1, gsb-s2.1, gsb-s6.1, gsb-s6.2, and gsb-s6.3, for resistance to GSB in cucumber stems were detected. The loci gsb-s1.1 and gsb-s2.1 with phenotypic variations of 8.7 and 6.7% were mapped to chromosomes (Chr.) 1 and 2, respectively. The loci gsb-s6.1, gsb-s6.2, and gsb-s6.3 were linked on Chr.6. Locus gsb-s6.2 accounted for the highest phenotypic variation of 22.7% and was flanked by markers SSR04083 and SSR02940 with genetic distances of 5.0 and 1.8 cM, respectively. There were 117 candidate genes predicted between SSR04083 and SSR02940, of which 14 were related to disease resistance.     

Identification and molecular genetic mapping of <Emphasis Type="Italic">Chili veinal mottle virus</Emphasis> (ChiVMV) resistance genes in pepper (<Emphasis Type="Italic">Capsicum annuum</Emphasis>)

Chili veinal mottle virus (ChiVMV) threatens the agricultural production of peppers (Capsicum annuum) in Asia and Africa. In this study, we evaluated ChiVMV resistance in the four pepper varieties CV3, CV4, CV8, and CV9. Segregation analyses revealed that CV3 and CV8 contain the single dominant resistance gene Cvr1, and CV9 contains the single recessive resistance gene cvr4. SNP markers were developed and used to map the Cvr1 gene in CV3 to the short arm of chromosome 6 where NLR genes are clustered. In CV4 oligogenic resistance loci were detected. A genotyping-by-sequencing (GBS) combined with modified sliding window approach mapped two resistance loci, to chromosomes 6 and 10. The development of SNP markers and the resulting knowledge of genomic positioning will assist in breeding ChiVMV-resistant pepper varieties and in the fine mapping of ChiVMV resistance genes.