Inheritance,fine-mapping,and candidate gene analyses of resistance to soybean mosaic virus strain SC5 in soybean

Soybean mosaic virus (SMV) is one of the most devastating pathogens for soybeans in China. Among the country-wide 22 strains, SC5 dominates in Huang-Huai and Changjiang valleys. For controlling its damage, the resistance gene was searched through Mendelian inheritance study, gene fine-mapping, and candidate gene analysis combined with qRT-PCR (quantitative real-time polymerase chain reaction) analysis. The parents F₁, F₂, and RILs (recombinant inbred lines) of the cross Kefeng-1 (Resistance, R)?×?NN1138-2 (Susceptible, S) were used to examine the inheritance of SC5-resistance. The F₁ was resistant and the F₂ and RILs segregated in a 3R:1S and 1R:1S ratio, respectively, indicating a single dominant gene conferring the Kefeng-1 resistance. Subsequently, the genomic region conferring the resistance was found in “Bin 352–Bin353 with 500 kb” on Chromosome 2 using the phenotyping data of the 427 RILs and a high-density genetic map with 4703 bin markers. In the 500 kb genomic region, 38 putative genes are contained. The association analysis between the SNPs in a putative gene and the resistance phenotype for the 427 RILs prioritized 11 candidate genes using Chi-square criterion. The expression levels of these genes were tested by qRT-PCR. On infection with SC5, 7 out of the 11 genes had differential expression in Kefeng-1 and NN1138-2. Furthermore, integrating SNP-phenotype association analysis with qRT-PCR expression profiling analysis, Glyma02g13495 was found the most possible candidate gene for SC5-resistance. This finding can facilitate the breeding for SC5-resistance through marker-assisted selection and provide a platform to gain a better understanding of SMV-resistance gene system in soybean.     

Fine mapping and analyses of <Emphasis Type="Italic">R</Emphasis><Subscript><Emphasis Type="Italic">SC8</Emphasis></Subscript> resistance candidate genes to soybean mosaic virus in soybean

Soybean mosaic virus (SMV) in soybean [Glycine max (L.) Merr.] is a destructive foliar disease in soybean-producing countries worldwide. In this study, F₂, F_2:3, and F_7:11 recombinant inbred lines populations derived from Kefeng No.1 × Nannong 1138-2 were used to study inheritance and linkage mapping of the SMV strain SC8 resistance gene in Kefeng No.1. Results indicated that a single dominant gene (designated R _SC8 ) controls resistance, which is located on chromosome 2 (MLG D1b). A mixed segregating population was developed by selfing two heterozygous plants (RHL153-1 and RHL153-2) at four markers adjacent to the locus and used in fine mapping R _SC8 . In addition, two genomic-simple sequence repeats (SSR) markers BARCSOYSSR_02_0610 and BARCSOYSSR_02_0616 were identified that flank the two sides of R _SC8 . Sequence analysis of the soybean genome indicated that the interval between the two genomic-SSR markers is 200 kb. QRT-PCR analysis of the candidate genes determined that five genes (Glyma02g13310, 13320, 13400, 13460, and 13470) are likely involved in soybean SMV resistance. These results will have utility in cloning, transferring, and pyramiding of the R _SC8 through marker-assisted selection in soybean breeding programs.     

Genome‐wide association study discovered candidate genes of Verticillium wilt resistance in upland cotton (Gossypium hirsutum L.)

Verticillium wilt (VW), caused by infection by Verticillium dahliae, is considered one of the most yield‐limiting diseases in cotton. To examine the genetic architecture of cotton VW resistance, we performed a genome‐wide association study (GWAS) using a panel of 299 accessions and 85 630 single nucleotide polymorphisms (SNPs) detected using the specific‐locus amplified fragment sequencing (SLAF‐seq) approach. Trait–SNP association analysis detected a total of 17 significant SNPs at P < 1.17 × 10^–5 (P = 1/85 630, –log₁₀P = 4.93); the peaks of SNPs associated with VW resistance on A10 were continuous and common in three environments (RDIG2015, RDIF2015 and RDIF2016). Haplotype block structure analysis predicted 22 candidate genes for VW resistance based on A10_99672586 with a minimum P‐value (–log₁₀P = 6.21). One of these genes (CG02) was near the significant SNP A10_99672586 (0.26 Mb), located in a 372‐kb haplotype block, and its Arabidopsis AT3G25510 homologues contain TIR‐NBS‐LRR domains that may be involved in disease resistance response. Real‐time quantitative PCR and virus‐induced gene silencing (VIGS) analysis showed that CG02 was specific to up‐regulation in the resistant (R) genotype Zhongzhimian2 (ZZM2) and that silenced plants were more susceptible to V. dahliae. These results indicate that CG02 is likely the candidate gene for resistance against V. dahliae in cotton. The identified locus or gene may serve as a promising target for genetic engineering and selection for improving resistance to VW in cotton.     

RSC3K of soybean cv. Kefeng No.1 confers resistance to soybean mosaic virus by interacting with the viral protein P3

Soybean mosaic virus (SMV) is one of the most devastating viral pathogens of soybean (Glycine max (L.) Merr). In total, 22 Chinese SMV strains (SC1–SC22) have been classified based on the responses of 10 soybean cultivars to these pathogens. However, although several SMV-resistance loci in soybean have been identified, no gene conferring SMV resistance in the resistant soybean cultivar (cv.) Kefeng No.1 has been cloned and verified. Here, using F₂-derived F₃ (F_2:3) and recombinant inbred line (RIL) populations from a cross between Kefeng No.1 and susceptible soybean cv. Nannong 1138-2, we localized the gene in Kefeng No.1 that mediated resistance to SMV-SC3 strain to a 90-kb interval on chromosome 2. To study the functions of candidate genes in this interval, we performed Bean pod mottle virus (BPMV)-induced gene silencing (VIGS). We identified a recombinant gene (which we named R_SC3K) harboring an internal deletion of a genomic DNA fragment partially flanking the LOC100526921 and LOC100812666 reference genes as the SMV-SC3 resistance gene. By shuffling genes between infectious SMV DNA clones based on the avirulent isolate SC3 and virulent isolate 1129, we determined that the viral protein P3 is the avirulence determinant mediating SMV-SC3 resistance on Kefeng No.1. P3 interacts with RNase proteins encoded by R_SC3K, LOC100526921, and LOC100812666. The recombinant R_SC3K conveys much higher anti-SMV activity than LOC100526921 and LOC100812666, although those two genes also encode proteins that inhibit SMV accumulation, as revealed by gene silencing in a susceptible cultivar and by overexpression in Nicotiana benthamiana. These findings demonstrate that R_SC3K mediates the resistance of Kefeng No.1 to SMV-SC3 and that SMV resistance of soybean is determined by the antiviral activity of RNase proteins.     

Genetic analysis and mapping of genes for resistance to multiple strains of Soybean mosaic virus in a single resistant soybean accession PI 96983

Soybean mosaic virus (SMV) is one of the most broadly distributed soybean (Glycine max (L.) Merr.) diseases and causes severe yield loss and seed quality deficiency. Multiple studies have proved that a single dominant gene can confer resistance to several SMV strains. Plant introduction (PI) 96983 has been reported to contain SMV resistance genes (e.g., Rsv1 and Rsc14) on chromosome 13. The objective of this study was to delineate the genetics of resistance to SMV in PI 96983 and determine whether one gene can control resistance to more than one Chinese SMV strain. In this study, PI 96983 was identified as resistant and Nannong 1138-2 was identified as susceptible to four SMV strains SC3, SC6, SC7, and SC17. Genetic maps based on 783 F₂ individuals from the cross of PI 96983 × Nannong 1138-2 showed that the gene(s) conferring resistance to SC3, SC6, and SC17 were between SSR markers BARCSOYSSR_13_1114 and BARCSOYSSR_13_1136, whereas SC7 was between markers BARCSOYSSR_13_1140 and BARCSOYSSR_13_1185. The physical map based on 58 recombinant lines confirmed these results. The resistance gene for SC7 was positioned between BARCSOYSSR_13_1140 and BARCSOYSSR_13_1155, while the resistance gene(s) for SC3, SC6, and SC17 were between BARCSOYSSR_13_1128 and BARCSOYSSR_13_1136. We concluded that, there were two dominant resistance genes flanking Rsv1 or one of them at the reported genomic location of Rsv1. One of them (designated as “Rsc-pm”) conditions resistance for SC3, SC6, and SC17 and another (designated as “Rsc-ps”) confers resistance for SC7. The two tightly linked genes identified in this study would be helpful to cloning of resistance genes and breeding of multiple resistances soybean cultivars to SMV through marker-assisted selection (MAS).     

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.     

Detection and fine-mapping of SC7 resistance genes via linkage and association analysis in soybean

Soybean mosaic virus (SMV) disease is one of the most serious and broadly distributed soybean (Glycine max (L.) Merr.) diseases. Here, we combine the advantages of association and linkage analysis to i...     

Fine Mapping of a Region of Chromosome 11q23.3 Reveals Independent Locus Associated with Risk of Glioma

Background

A single nucleotide polymorphism (SNP) at locus 11q23.3 (rs498872) in the near 5′-UTR of the PHLDB1 gene was recently implicated as a risk factor for gliomas in a genome-wide association study, and this involvement was confirmed in three additional studies.

Methodology/Principal Findings

To identify possible causal variants in the region, the authors genotyped 15 tagging SNPs in the 200 kb genomic region at 11q23.3 locus in a Chinese Han population-based case-control study with 983 cases and 1024 controls. We found evidence for an association between two independent loci (both the PHLDB1 and the ACRN1 genes) and a predisposition for gliomas. Among the multiple significant SNPs in the PHLDB1 gene region, the rs17749 SNP was the most significant [P = 1.31×10⁻⁶ in a recessive genetic model]. Additionally, two novel SNPs (rs2236661 and rs494560) that were independent of rs17749 were significantly associated with glioma risk in a recessive genetic model [P = 1.31×10⁻⁵ and P = 3.32×10⁻⁵, respectively]. The second novel locus was within the ARCN1 gene, and it was associated with a significantly reduced risk for glioma.

Conclusions/Significance

Our data strongly support PHLDB1 as a susceptibility gene for glioma, also shedding light on a new potentially candidate gene, ARCN1.     

Fine-mapping and identification of a novel locus <Emphasis Type="Italic">Rsc15</Emphasis> underlying soybean resistance to <Emphasis Type="Italic">Soybean mosaic virus</Emphasis>

Key message

Rsc15, a novel locus underlying soybean resistance to SMV, was fine mapped to a 95-kb region on chromosome 6. The Rsc15- mediated resistance is likely attributed to the gene GmPEX14 , the relative expression of which was highly correlated with the accumulation of H ₂ O ₂ along with the activities of POD and CAT during the early stages of SMV infection in RN-9.

Abstract

Soybean mosaic virus (SMV) causes severe yield losses and seed quality deterioration in soybean [Glycine max (L.) Merr.] worldwide. A series of single dominant SMV resistance genes have been identified on respective soybean chromosomes 2, 13 and 14, while one novel locus, Rsc15, underlying resistance to the virulent SMV strain SC15 from soybean cultivar RN-9 has been recently mapped to a 14.6-cM region on chromosome 6. However, candidate gene has not yet been identified within this region. In the present study, we aimed to fine map the Rsc15 region and identify candidate gene(s) for this invaluable locus. High-resolution fine-mapping revealed that the Rsc15 gene was located in a 95-kb genomic region which was flanked by the two simple sequence repeat (SSR) markers SSR_06_17 and BARCSOYSSR_06_0835. Allelic sequence comparison and expression profile analysis of candidate genes inferred that the gene Glyma.06g182600 (designated as GmPEX14) was the best candidate gene attributing for the resistance of Rsc15, and that genes encoding receptor-like kinase (RLK) (i.e., Glyma.06g175100 and Glyma.06g184400) and serine/threonine kinase (STK) (i.e., Glyma.06g182900 and Glyma.06g183500) were also potential candidates. High correlations were established between the relative expression level of GmPEX14 and the hydrogen peroxide (H₂O₂) concentration and activities of catalase (CAT) and peroxidase (POD) during the early stages of SMV-SC15 infection in RN-9. The results of the present study will be useful in marker-assisted breeding for SMV resistance and will lead to further understanding of the molecular mechanisms of host resistance against SMV.

     

Multiplex single nucleotide polymorphism (SNP) assay for detection of soybean mosaic virus resistance genes in soybean

Soybean mosaic virus (SMV) is one of the most destructive viral diseases in soybean (Glycine max). Three independent loci for SMV resistance have been identified in soybean germplasm. The use of genetic resistance is the most effective method of controlling this disease. Marker assisted selection (MAS) has become very important and useful in the effort of selecting genes for SMV resistance. Single nucleotide polymorphism (SNP), because of its abundance and high-throughput potential, is a powerful tool in genome mapping, association studies, diversity analysis, and tagging of important genes in plant genomics. In this study, a 10 SNPs plus one insert/deletion (InDel) multiplex assay was developed for SMV resistance: two SNPs were developed from the candidate gene 3gG2 at Rsv1 locus, two SNPs selected from the clone N11PF linked to Rsv1, one ‘BARC’ SNP screened from soybean chromosome 13 [linkage group (LG) F] near Rsv1, two ‘BARC’ SNPs from probe A519 linked to Rsv3, one ‘BARC’ SNP from chromosome 14 (LG B2) near Rsv3, and two ‘BARC’ SNPs from chromosome 2 (LG D1b) near Rsv4, plus one InDel marker from expressed sequence tag (EST) AW307114 linked to Rsv4. This 11 SNP/InDel multiplex assay showed polymorphism among 47 diverse soybean germplasm, indicating this assay can be used to investigate the mode of inheritance in a SMV resistant soybean line carrying Rsv1, Rsv3, and/or Rsv4 through a segregating population with phenotypic data, and to select a specific gene or pyramid two or three genes for SMV resistance through MAS in soybean breeding program. The presence of two SMV resistance genes (Rsv1 and Rsv3) in J05 soybean was confirmed by the SNP assay.     

Genome-Wide Association Studies Identify the Loci for 5 Exterior Traits in a Large White × Minzhu Pig Population

As one of the main breeding selection criteria, external appearance has special economic importance in the hog industry. In this study, an Illumina Porcine SNP60 BeadChip was used to conduct a genome-wide association study (GWAS) in 605 pigs of the F₂ generation derived from a Large White × Minzhu intercross. Traits under study were abdominal circumference (AC), body height (BH), body length (BL), cannon bone circumference (CBC), chest depth (CD), chest width (CW), rump circumference (RC), rump width (RW), scapula width (SW), and waist width (WW). A total of 138 SNPs (the most significant being MARC0033464) on chromosome 7 were found to be associated with BH, BL, CBC, and RC (P-value  = 4.15E-6). One SNP on chromosome 1 was found to be associated with CD at genome-wide significance levels. The percentage phenotypic variance of these significant SNPs ranged from 0.1–25.48%. Moreover, a conditional analysis revealed that the significant SNPs were derived from a single quantitative trait locus (QTL) and indicated additional chromosome-wide significant association for 25 SNPs on SSC4 (BL, CBC) and 9 SNPs on SSC7 (RC). Linkage analysis revealed two complete linkage disequilibrium haplotype blocks that contained seven and four SNPs, respectively. In block 1, the most significant SNP, MARC0033464, was present. Annotations from pig reference genome suggested six genes (GRM4, HMGA1, NUDT3, RPS10, SPDEF and PACSIN1) in block 1 (495 kb), and one gene (SCUBE3) in block 3 (124 kb). Functional analysis indicated that HMGA1 and SCUBE3 genes are the potential genes controlling BH, BL, and RC in pigs, with an application in breeding programs. We screened several candidate intervals and genes based on SNP location and gene function, and predicted their function using bioinformatics analyses.     

Inheritance and Gene Mapping of Resistance to Soybean Mosaic Virus Strain SC14 in Soybean

Soybean mosaic virus (SMV) is one of the most broadly distributed diseases worldwide. It causes severe yield loss and seed quality deficiency in soybean (Glycine max (L.) Merr.). SMV Strain SC14 isolated from Shanxi Province, China, was a newly identified virulent strain and can infect Kefeng No. 1, a source with wide spectrum resistance. In the present study, soybean accessions, PI96983, Qihuang No. 1 and Qihuang No. 22 were identified to be resistant (R) and Nannong 1138‐2, Pixianchadou susceptible (S) to SC14. Segregation analysis of PI96983 x Nannong 1138‐2 indicated that a single dominant gene (designated as R_SC14) controlled the resistance to SC14 at both V₂ and R₁ developmental stages. The same results were obtained for the crosses of Qihuang No. 1 × Nannong 1138‐2 and Qihuang No. 22 × Nannong 1138‐2 as in PI96983 × Nannong 1138‐2 at V₂ stage, but at R₁ stage, the F₁ performed as necrosis (a susceptible symptom other than mosaic), F₂ segregated in a ratio of 1R:2N:1S, and the progenies of necrotic (N) F₂ individuals segregated also in R, N and S. It indicated that a single gene (designated as R_SC14Q, to be different from that of PI96983) controlled the resistance to SC14, its dominance was the same as in PI96983 × Nannong 1138‐2 (without symptoms) at V₂ stage and not the same at R₁ stage. The tightly linked co‐dominant simple sequence repeat (SSR) marker Satt334 indicated that all the heterozygous bands were completely corresponding to the necrotic F₂ individuals, or all the necrotic F₂ individuals were heterozygotes. It was inferred that necrosis might be due to the interaction among SMV strains, resistance genes, genetic background of the resistance genes, and plant development stage. Furthermore, the bulked segregant analysis (BSA) of SSR markers was conducted to map the resistance genes. In F2of PI96983 × Nannong 1138‐2, five SSR markers, Sat_297, Sat_234, Sat_154, Sct_033 and Sat_120, were found closely linked to RSC14, with genetic distances of 14.5 cM, 11.3cM, 4.3cM,3.2cM and 6cM, respectively. In F₂ of Qihuang No. 1 × Nannong 1138‐2, three SSR markers, Sat_234, Satt334 and Sct_033, tightly linked to R_SC14Q with genetic distances of 7.2 cM, 1.4 cM and 2.8 cM, respectively. Based on the integrated joint map by Cregan et al. (1999), both RScMand R_SC14Q were located between Sat_234 and Sct_033 on linkage with group F of soybean, with their distances from Sct_033 at the same side being 3.2 cM and 2.8 cM, respectively. Therefore, RSC14and R_SC14Q might be on a same locus. The obtained information provides a basic knowledge for marker‐assisted selection of the resistance gene in soybean breeding programs and fine mapping and map‐based cloning of the resistance gene. (Managing editor: Li‐Hui Zhao)     

Common variants in the obesity-associated genes FTO and MC4R are not associated with risk of colorectal cancer

BackgroundObesity is a convincing risk factor for colorectal cancer. Genetic variants in or near FTO and MC4R are consistently associated with body mass index and other body size measures, but whether they are also associated with colorectal cancer risk is unclear.MethodsIn the discovery stage, we tested associations of 677 FTO and 323 MC4R single nucleotide polymorphisms (SNPs) 100 kb upstream and 300 kb downstream from each respective locus with risk of colorectal cancer in data from the Colon Cancer Family Registry (CCFR: 1960 cases; 1777 controls). Next, all SNPs that were nominally statistically significant (p < 0.05) in the discovery stage were included in replication analyses in data from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO: 9716 cases; 9844 controls).ResultsIn the discovery stage, 43 FTO variants and 18 MC4R variants were associated with colorectal cancer risk (p < 0.05). No SNPs remained statistically significant in the replication analysis after accounting for multiple comparisons.ConclusionWe found no evidence that individual variants in or near the obesity-related genes FTO and MC4R are associated with risk of colorectal cancer.     

Sequence variation in 3′UTR region of crtRB1 gene and its effect on β-carotene accumulation in maize kernel

β-carotene fortification of maize has emerged as a potential, long-term and sustainable approach to alleviate vitamin A deficiency in humans. Among the several genes involved in the carotenoid biosynthetic pathway, the 543 bp allele at crtRB1 3′TE (Transposable Element) gene (allele 1, without insertion) is associated with higher β-carotene accumulation. Estimation of β-carotene through high performance liquid chromatography showed that the CIMMYT genotypes with allele 1 had high kernel β-carotene content whereas the Indian inbreds with the same allele had low β-carotene content. To know the reason for this variation, allele 1 of crtRB1 3′TE gene was sequenced from a set of 11 diverse maize inbreds collected from CIMMYT and Indian germplasm. The sequence data of the allele 1 revealed the presence of 13 single nucleotide polymorphisms (SNPs) and 7 insertions and deletions (InDels). Exonic region had two SNPs, intronic region had one SNP and one InDel, whereas 3′-untranslated region (UTR) region of the gene showed 10 SNPs and 6 InDels. Among the several SNPs and InDels, SNP4, SNP13, InDel6 and InDel7 identified in the 3′-UTR region clearly differentiated the high and the low β-carotene genotypes. These 3′-UTR polymorphisms in allele 1 of the crtRB1 3′TE gene could be associated with the variation in kernel β-carotene accumulation by regulating the translation and stability of the mRNA. The SNPs and the InDels associated with higher level of β-carotene will be used as a gene-based marker(s) in selection of genotypes and to develop biofortified maize hybrids to alleviate vitamin A deficiency in humans.     

Deep re-sequencing of a widely used maintainer line of hybrid rice for discovery of DNA polymorphisms and evaluation of genetic diversity

Genetic diversity within parental lines of hybrid rice is the foundation of heterosis utilization and yield improvement. Previous studies have suggested that genetic diversity was narrow in cytoplasmic male sterile (CMS/A line) and restorer lines (R line) for Three-line hybrid rice. However, the genetic diversity within maintainer lines (B line), especially at a genome-wide scale, remains largely unknown. In the present study, we performed deep re-sequencing of the elite maintainer line V20B (Oryza sativa L. ssp. indica). We then compared the V20B sequence with the 93-11 (Oryza sativa L. ssp. indica) genome sequence. 112.1 × 106 paired-end reads (PE reads) were generated with approximately 30-fold sequencing depth. The V20B PE reads uniquely covered 87.6 % of the 93-11 genome sequence. Overall, a total of 660,778 single-nucleotide polymorphism (SNPs) and 266,301 insertions and deletions (InDels) were identified, yielding an average of 2.1 SNPs/kb and 0.8 InDels/kb. Genome-wide distribution of the SNPs and InDels was non-random, and variation-rich and variation-poor regions were identified in all chromosomes. A total of 20,562 non-synonymous SNPs spanning 8,854 genes were annotated. Our results identified DNA polymorphisms at the genome-wide scale and uncovered the high level of genetic diversity between V20B and 93-11. Our results proved that next-generation sequencing technologies can be powerful tools to study genome-wide DNA polymorphisms, to query genetic diversity, and to enable molecular improvement efforts with Three-line hybrid rice. Further, our results also indicated that 93-11 could be used as core germplasm for the improvement of wild-abortive CMS lines and the maintainer lines.     

Rapid location of Glomerella leaf spot resistance gene locus in apple by whole genome re-sequencing

Glomerella leaf spot (GLS) is a new fungal disease of apple that damages apple leaves mainly during the summer in China. For efficient GLS-resistant apple breeding by marker-assisted selection (MAS) and a better understanding of the molecular mechanisms of the resistance, it is important to find molecular markers that are tightly linked to GLS resistance genes and construct fine mapping. However, the development and selection of DNA markers are time-consuming and labor-intensive processes. Next-generation sequencing technology provides a powerful tool to overcome this limitation and is faster and more efficient in establishing the association of GLS resistance with molecular markers or searching for candidate genes. In this study, we report a method for rapid location of a GLS resistance gene locus (R _gls ) in apple by whole genome re-sequencing technology coupled with bulked segregant analysis (BSA). A total of 3,399,950 single nucleotide polymorphisms (SNPs) were identified. Through the genome-wide comparison of SNP profiles between the resistant and the susceptible bulks constructed from F₁ individuals derived from a cross between “Golden Delicious” and “Fuji,” the R _gls locus was identified on apple chromosome 15 between 2 and 5 Mb. In this region, eight SNP markers were validated using high resolution melting (HRM), and the fine genetic mapping of the eight markers was constructed. The R _gls locus was sandwiched by two flanking markers SNP4208 and SNP4257, with the recombination frequency of 0.97% (2/207). The marker SNP4236 co-segregated with R _gls . The physical size of the R _gls locus was estimated to be 49 kb. In this genetic interval, nine genes were predicted. Our study provides an effective method for rapid identification of genomic regions and development of the diagnostic markers for MAS. This strategy is potentially useful for other agronomic traits or plant species.     

Family-Based Association Study of Pulmonary Function in a Population in Northeast Asia

The spirometric measurement of pulmonary function by measuring the forced expiratory volume in one second (FEV₁) is a heritable trait that reflects the physiological condition of the lung and airways. Genome-wide linkage and association studies have identified a number of genes and genetic loci associated with pulmonary function. However, limited numbers of studies have been reported for Asian populations. In this study, we aimed to investigate genetic evidence of pulmonary function in a population in northeast Asia. We conducted a family-based association test with 706 GENDISCAN study participants from 72 Mongolian families to determine candidate genetic determinants of pulmonary function. For the replication, we chose seven candidate single nucleotide polymorphisms (SNPs) from the 5 loci, and tested 1062 SNPs for association with FEV₁ from 2,729 subjects of the Korea Healthy Twin study. We identified TMEM132C as a potential candidate gene at 12q24.3, which is a previously reported locus of asthma and spirometric indices. We also found two adjacent candidate genes (UNC93A and TTLL2) in the 6q27 region, which has been previously identified as a pulmonary function locus in the Framingham cohort study. Our findings suggest that novel candidate genes (TMEM132C, UNC93A and TTLL2) in two different regions are associated with pulmonary function in a population in northeast Asia.     

Loci and candidate gene identification for resistance to Sclerotinia sclerotiorum in soybean (Glycine max L. Merr.) via association and linkage maps

Soybean white mold (SWM), caused by Sclerotinia sclerotiorum ((Lib.) W. Phillips), is currently considered to be the second most important cause of soybean yield loss due to disease. Research is needed to identify SWM‐resistant germplasm and gain a better understanding of the genetic and molecular basis of SWM resistance in soybean. Stem pigmentation after treatment with oxaloacetic acid is an effective indicator of resistance to SWM. A total of 128 recombinant inbred lines (RILs) derived from a cross of ‘Maple Arrow’ (partial resistant to SWM) and ‘Hefeng 25’ (susceptible) and 330 diverse soybean cultivars were screened for the soluble pigment concentration of their stems, which were treated with oxalic acid. Four quantitative trait loci (QTLs) underlying soluble pigment concentration were detected by linkage mapping of the RILs. Three hundred and thirty soybean cultivars were sequenced using the whole‐genome encompassing approach and 25 179 single‐nucleotide polymorphisms (SNPs) were detected for the fine mapping of SWM resistance genes by genome‐wide association studies. Three out of five SNP markers representing a linkage disequilibrium (LD) block and a single locus on chromosome 13 (Gm13) were significantly associated with the soluble pigment content of stems. Three more SNPs that represented three minor QTLs for the soluble pigment content of stems were identified on another three chromosomes by association mapping. A major locus with the largest effect on Gm13 was found both by linkage and association mapping. Four potential candidate genes involved in disease response or the anthocyanin biosynthesis pathway were identified at the locus near the significant SNPs (<60 kbp). The beneficial allele and candidate genes should be useful in soybean breeding for improving resistance to SWM.     

SNPs associated with body weight and backfat thickness in two pig breeds identified by a genome-wide association study

Growth and fat deposition are important economic traits due to the influence on production in pigs. In this study, a dataset of 1200 pigs with 345,570 SNPs genotyped by sequencing (GBS) was used to conduct a GWAS with single-marker regression method to identify SNPs associated with body weight and backfat thickness (BFT) and to search for candidate genes in Landrace and Yorkshire pigs. A total of 27 and 13 significant SNPs were associated with body weight and BFT, respectively. In the region of 149.85–149.89 Mb on SSC6, the SNP (SSC6: 149876737) for body weight and the SNP (SSC6: 149876507) for BFT were in the same locus region (a gap of 230 bp). Two SNPs were located in the DOCK7 gene, which is a protein-coding gene that plays an important role in pigmentation. Two SNPs located on SSC8: 54567459 and SSC11: 33043081 were found to overlap weight and BFT; however, no candidate gene was found in these regions. In addition, based on other significant SNPs, two positional candidate genes, NSRP1 and CADPS, were proposed to influence weight. In conclusion, this is the first study report using GBS data to identify the significant SNPs for weight and BFT. A total of four particularly interesting SNPs and one potential candidate genes (DOCK7) were found for these traits in domestic pigs. This study improves our knowledge to better understand the complex genetic architecture of weight and BFT, but further validation studies of these candidate loci and genes are recommended in pigs