Detection of trait donors and QTL boundaries for early blight resistance using local ancestry inference in a library of genomic sequences for tomato

By conducting hierarchical clustering along a sliding window, we generated haplotypes across hundreds of re-sequenced genomes in a few hours. We leveraged our method to define cryptic introgressions underlying disease resistance in tomato (Solanum lycopersicum L.) and to discover resistant germplasm in the tomato seed bank. The genomes of 9 accessions with early blight (Alternaria linariae) disease resistance were newly sequenced and analyzed together with published sequences for 770 tomato and wild species accessions, most of which are available in germplasm collections. Identification of common ancestral haplotypes among resistant germplasm enabled rapid fine mapping of recently discovered quantitative trait loci (QTL) conferring resistance and the identification of possible causal variants. The source of the early blight QTL EB-9 was traced to a vintage tomato named ‘Devon Surprise’. Another QTL, EB-5, as well as resistance to bacterial spot disease (Xanthomonas spp.), was traced to Hawaii 7998. A genomic survey of all accessions forecasted EB-9-derived resistance in several heirloom tomatoes, accessions of S. lycopersicum var. cerasiforme, and S. pimpinellifolium PI 37009. Our haplotype-based predictions were validated by screening the accessions against the causal pathogen. There was little evidence of EB-5 prevalence in surveyed contemporary germplasm, presenting an opportunity to bolster tomato disease resistance by adding this rare locus. Our work demonstrates practical insights that can be derived from the efficient processing of large genome-scale datasets, including rapid functional prediction of disease resistance QTL in diverse genetic backgrounds. Finally, our work finds more efficient ways to leverage public genetic resources for crop improvement.     

Identification of novel tan spot resistance loci beyond the known host-selective toxin insensitivity genes in wheat

Tan spot, caused by Pyrenophora tritici-repentis, is a destructive foliar disease of wheat causing significant yield reduction in major wheat growing areas throughout the world. The objective of this study was to identify quantitative trait loci (QTL) conferring resistance to tan spot in the synthetic hexaploid wheat (SHW) line TA4152-60. A doubled haploid (DH) mapping population derived from TA4152-60 × ND495 was inoculated with conidia produced by isolates of each of four virulent races of P. tritici-repentis found in North America. QTL analysis revealed a total of five genomic regions significantly associated with tan spot resistance, all of which were contributed by the SHW line. Among them, two novel QTLs located on chromosome arms 2AS and 5BL conferred resistance to all isolates tested. Another novel QTL on chromosome arm 5AL conferred resistance to isolates of races 1, 2 and 5, and a QTL specific to a race 3 isolate was detected on chromosome arm 4AL. None of these QTLs corresponded to known host selective toxin (HST) insensitivity loci, but a second QTL on chromosome arm 5BL conferred resistance to the Ptr ToxA producing isolates of races 1 and 2 and corresponded to the Tsn1 (Ptr ToxA sensitivity) locus. This indicates that the wheat-P. tritici-repentis pathosystem is much more complex than previously thought and that selecting for toxin insensitivity alone will not necessarily lead to tan spot resistance. The markers associated with the QTLs identified in this work will be useful for deploying the SHW line as a tan spot resistance source in wheat breeding. Mention of trade names or commercial products in this article is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture.     

Mapping QTLs conferring early blight (Alternaria solani) resistance in a Lycopersicon esculentum×L. hirsutum cross by selective genotyping

Most commercial cultivars of tomato, Lycopersicon esculentum Mill., are susceptible to early blight (EB), a devastating fungal (Alternaria solani Sorauer) disease of tomato in the U.S. and elsewhere in the world. Currently, sanitation, long crop rotation, and routine application of fungicides are the most common disease control measures. Although no source of genetic resistance is known within the cultivated species of tomato, resistant resources have been identified within related wild species. The purpose of this study was to identify and validate quantitative trait loci (QTLs) conferring EB resistance in an accession (PI126445) of the tomato wild species L. hirsutum Humb. and Bonpl. by using a selective genotyping approach. A total of 820 BC₁ plants of a cross between an EB susceptible tomato breeding line (NC84173; maternal and recurrent parent) and PI126445 were grown in a greenhouse. During late seedling stage, plants were inoculated with mixed isolates of A. solani and subsequently evaluated for EB symptoms. The most resistant (75 plants = 9.1%) and most susceptible (80 = 9.8%) plants were selected and subsequently transplanted into a field where natural infestation of EB was severe. Plants were grown to maturity and evaluated for final disease severity. From among the 75 resistant plants, 46 (5.6% of the total) that exhibited the highest resistance, and from among the 80 susceptible plants, 30 (3.7% of the total) that exhibited the highest susceptibility, were selected. The 76 selected plants, representing the two extreme tails of the response distribution, were genotyped for 145 restriction fragment length polymorphism (RFLP) markers and 34 resistance gene analogs (RGAs). A genetic linkage map, spanning approximately 1298 cM of the 12 tomato chromosomes with an average marker distance of 7.3 cM, was constructed. A trait-based marker analysis (TBA), which measures differences in marker allele frequencies between extreme tails of a population, detected seven QTLs for EB resistance, one on each of chromosomes 3, 4, 5, 6, 8, 10 and 11. Of these, all but the QTL on chromosome 3 were contributed from the resistant wild parent, PI126445. The standardized effects of the QTLs ranged from 0.45 to 0.81 phenotypic standard deviations. Four of the seven QTLs were previously identified in a study where different populations and mapping strategy were used. The high level of correspondence between the two studies indicated the reliability of the detected QTLs and their potential use for marker-assisted breeding for EB resistance. The location of several RGAs coincided with locations of EB QTLs or known tomato resistance genes (R genes), suggesting that these RGAs could be associated with disease resistance. Furthermore, similar to that for many R gene families, several RGA loci were identified in clusters, suggesting their potential evolutionary relationship with R genes.     

Fine mapping and analysis of a candidate gene in tomato accession PI128216 conferring hypersensitive resistance to bacterial spot race T3

Bacterial spot caused by Xanthomonas euvesicatoria, X. vesicatoria, X. perforans and X. gardneri is one of the most destructive diseases in tomatoes (Solanum lycopersicum L.) growing in tropical and subtropical regions. Exploring resistance genes from diverse germplasm and incorporating them into cultivated varieties are critical for controlling this disease. The S. pimpinellifolium accession PI128216 was reported to carry the Rx4 gene on chromosome 11 conferring hypersensitivity and field resistance to race T3. To facilitate the use of marker-assisted selection in breeding and map-based cloning of the gene, an F₂ population derived from a cross between the susceptible variety OH88119 and the resistant accession PI128216 was created for fine mapping of the Rx4 gene. Using 18 markers developed through various approaches, we mapped the gene to a 45.1-kb region between two markers pcc17 and pcc14 on chromosome 11. A NBS-LRR class of resistance gene was identified as the candidate for the Rx4 gene based on annotation results from the International Tomato Annotation Group. Comparison of the genomic DNA sequences of the Rx4 alleles in PI128216 and OH88119 revealed a 6-bp insertion/deletion (InDel) and eight SNPs. The InDel marker was successfully used to distinguish resistance and susceptibility in 12 tomato lines. These results will facilitate cloning the Rx4 gene and provide a useful tool for marker-assisted selection of this gene in tomato breeding programs.     

Mapping of loci from <Emphasis Type="Italic">Solanum lycopersicoides</Emphasis> conferring resistance or susceptibility to <Emphasis Type="Italic">Botrytis cinerea</Emphasis> in tomato

Cultivated tomato (Solanum lycopersicum, syn. Lycopersicon esculentum) is susceptible to the necrotrophic ascomycete and causal agent of gray mold, Botrytis cinerea. Resistance to this fungal pathogen is elevated in wild relatives of tomato, including Solanum lycopersicoides. An introgression line population (IL) containing chromosomal segments of S. lycopersicoides within the background of tomato cv. VF36 was used to screen the genome for foliar resistance and susceptibility to B. cinerea. Based on this screen, putative quantitative trait loci (QTL) were identified, five for resistance and two for susceptibility. Four resistance QTL decreased infection frequency while the fifth reduced lesion diameter. One susceptibility QTL increased infection frequency whereas the other increased lesion diameter. Overlapping chromosomal segments provided strong evidence for partial resistance on chromosomes 1 and 9 and for elevated susceptibility on chromosome 11. Segregation analysis confirmed the major resistance QTL on the long arm of chromosome 1 and susceptibility on chromosome 11. Linkage of partial resistance to chromosome 9 could not be confirmed. The usefulness of these data for resistance breeding and for map-based cloning of foliar resistance to B. cinerea is discussed.     

Quantitative trait loci regulating sugar moiety of acylsugars in tomato

Acylsugars are broad-spectrum insect resistance sugar esters produced at very high levels by some accessions of the wild tomato, Solanum pennellii. Transferring acylsugar production from S. pennellii LA716 to cultivated tomato through traditional breeding developed the benchmark acylsugar breeding line CU071026. The base moiety of acylsugars (sucrose vs. glucose) can vary among S. pennellii accessions. Additionally the accession S. pennellii LA716 produces almost exclusively acylglucoses, but the breeding line CU071026 derived from S. pennellii LA716 produces exclusively acylsucroses. This study uses a BC1F1 and a BC1F2 population derived from the cross CU071026 × (CU071026 × S. pennellii LA716) to identify and confirm the action of three quantitative trait loci (QTL) on chromosomes 3, 4, and 11. The QTL on chromosomes 3 and 11 are both required for acylglucose production, while addition of the chromosome 4 QTL affects the level of acylglucose produced in the presence of the QTL on chromosomes 3 and 11. A three-way interaction between these acylglucose QTL was confirmed with a post hoc ANOVA. Identification of these three QTL provides a blueprint for breeding to shift acylsucrose production to acylglucose production in tomato breeding lines. The implications of these QTL and two additional QTL affecting total acylsugar level in the BC1F2 are discussed.     

Molecular dissection of Tomato leaf curl virus resistance in tomato line TY172 derived from Solanum peruvianum

Tomato yellow leaf curl virus (TYLCV) is devastating to tomato (Solanum lycopersicum) crops and resistant cultivars are highly effective in controlling the disease. The breeding line TY172, originating from Solanum peruvianum, is highly resistant to TYLCV. To map quantitative trait loci (QTLs) controlling TYLCV resistance in TY172, appropriate segregating populations were analyzed using 69 polymorphic DNA markers spanning the entire tomato genome. Results show that TYLCV resistance in TY172 is controlled by a previously unknown major QTL, originating from the resistant line, and four additional minor QTLs. The major QTL, we term Ty-5, maps to chromosome 4 and accounts for 39.7–46.6% of the variation in symptom severity among segregating plants (LOD score 33–35). The minor QTLs, originated either from the resistant or susceptible parents, were mapped to chromosomes 1, 7, 9 and 11, and contributed 12% to the variation in symptom severity in addition to Ty-5.     

QTL detection with bidirectional and unidirectional selective genotyping: marker-based and trait-based analyses

Selective genotyping of one or both phenotypic extremes of a population can be used to detect linkage between markers and quantitative trait loci (QTL) in situations in which full-population genotyping is too costly or not feasible, or where the objective is to rapidly screen large numbers of potential donors for useful alleles with large effects. Data may be subjected to 'trait-based' analysis, in which marker allele frequencies are compared between classes of progeny defined based on trait values, or to 'marker-based' analysis, in which trait means are compared between progeny classes defined based on marker genotypes. Here, bidirectional and unidirectional selective genotyping were simulated, using population sizes and selection intensities relevant to cereal breeding. Control of Type I error was usually adequate with marker-based analysis of variance or trait-based testing using the normal approximation of the binomial distribution. Bidirectional selective genotyping was more powerful than unidirectional. Trait-based analysis and marker-based analysis of variance were about equally powerful. With genotyping of the best 30 out of 500 lines (6%), a QTL explaining 15% of the phenotypic variance could be detected with a power of 0.8 when tests were conducted at a marker 10 cM from the QTL. With bidirectional selective genotyping, QTL with smaller effects and (or) QTL farther from the nearest marker could be detected. Similar QTL detection approaches were applied to data from a population of 436 recombinant inbred rice lines segregating for a large-effect QTL affecting grain yield under drought stress. That QTL was reliably detected by genotyping as few as 20 selected lines (4.5%). In experimental populations, selective genotyping can reduce costs of QTL detection, allowing larger numbers of potential donors to be screened for useful alleles with effects across different backgrounds. In plant breeding programs, selective genotyping can make it possible to detect QTL using even a limited number of progeny that have been retained after selection.     

Inheritance studies of apple scab resistance and identification of Rvi14, a new major gene that acts together with other broad-spectrum QTL

Scab, caused by the fungal pathogen Venturia inaequalis, is the most common disease of cultivated apple (Malus xdomestica). The fungal races 6 and 7 have now overcome the major resistance gene Vf, which is widely used in apple breeding programmes. New breeding strategies to achieve durable resistance are thus necessary. The aim of this study was to determine the genetic basis of quantitative resistance of the apple cultivar 'Dülmener Rosenapfel', known to be scab resistant under different environmental conditions. An F1 progeny derived from the cross between the susceptible cultivar 'Gala' and 'Dülmener Rosenapfel' was tested in a greenhouse with a multi-isolate inoculum of V. inaequalis. Rvi14, a new major gene that conditions a chlorotic-type reaction, was mapped on linkage group (LG) 6 in a genomic region not known to be involved in disease resistance. A further three quantitative trait loci (QTL) for resistance were identified. One co-localized with Rvi14 on LG6, whereas the remaining two were detected on LG11 and LG17, in genomic regions already reported to carry broad-spectrum QTL in other genetic backgrounds. Since a selective genotyping approach was used to detect QTL, an expectation-maximization (EM) computation was used to estimate the corrected QTL contributions to phenotypic variation and was validated by entire progeny genotyping.     

Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust

The limited population sizes used in many quantitative trait locus (QTL) detection experiments can lead to underestimation of QTL number, overestimation of QTL effects, and failure to quantify QTL interactions. We used the barley/barley stripe rust pathosystem to evaluate the effect of population size on the estimation of QTL parameters. We generated a large (n=409) population of doubled haploid lines derived from the cross of two inbred lines, BCD47 and Baronesse. This population was evaluated for barley stripe rust severity in the Toluca Valley, Mexico, and in Washington State, USA, under field conditions. BCD47 was the principal donor of resistance QTL alleles, but the susceptible parent also contributed some resistance alleles. The major QTL, located on the long arm of chromosome 4H, close to the Mlo gene, accounted for up to 34% of the phenotypic variance. Subpopulations of different sizes were generated using three methods—resampling, selective genotyping, and selective phenotyping—to evaluate the effect of population size on the estimation of QTL parameters. In all cases, the number of QTL detected increased with population size. QTL with large effects were detected even in small populations, but QTL with small effects were detected only by increasing population size. Selective genotyping and/or selective phenotyping approaches could be effective strategies for reducing the costs associated with conducting QTL analysis in large populations. The method of choice will depend on the relative costs of genotyping versus phenotyping. Electronic Supplementary Material Supplementary material is available for this article at     

QTL, additive and epistatic effects for SCN resistance in PI 437654

PI 437654 is a unique accession because of its resistance to nearly all HG types (races) of soybean cyst nematode (Heterodera glycines Ichinohe; SCN). Objectives of this study were to confirm and refine the locations and gene action associated with SCN resistance previously discovered in PI 437654, and to identify new QTLs that may have been missed because of low coverage with genetic markers used in previous studies. Using 205 F_7:9 RILs and 276 SSR and AFLP molecular markers covering 2,406.5 cM of 20 linkage groups (LGs), we confirmed and refined the locations of major SCN resistance QTLs on LG-A2, -B1, and -G previously identified in PI 437654 or other resistant sources. We found that these major QTLs have epistatic effects among them or with other loci for SCN resistance. We also detected some new QTLs with additive or epistatic effects for SCN resistance to different HG types (races) on all LGs except LGs-B2 and -D1b. The QTL on LG-G was associated with resistance to HG types 2.5.7, 1.2.5.7, 0, and 2.7 (races 1, 2, 3, and 5), and it contributed a large proportion of the additive effects. The QTL on LG-A2 was associated with resistance to HG types 2.5.7 and 0 (races 1 and 3). The QTL on LG-B1, associated with resistance to HG types 2.5.7, 0, 2.7 (races 1, 3, and 5), was the similar QTL found in PI 90763 and PI 404198B. In addition to QTL on LGs-A2, -B1 and -G, a novel additive QTL associated with SCN resistance to HG types 0, 2.7, and 1.3.5.6.7 (race 3, 5, and 14) was identified on LG-I flanked by Sat_299 and Sat_189. Several minor QTLs on LGs-C1, D1a, H, and K were also found to be associated with SCN resistance. Confirmation of the new resistance QTL is underway by evaluating another RIL population with a different genetic background.     

Mapping of quantitative trait loci for canopy-wilting trait in soybean (Glycine max L. Merr)

Drought stress adversely affects [Glycine max (L.) Merr] soybean at most developmental stages, which collectively results in yield reduction. Little information is available on relative contribution and chromosomal locations of quantitative trait loci (QTL) conditioning drought tolerance in soybean. A Japanese germplasm accession, PI 416937, was found to possess drought resistance. Under moisture-deficit conditions, PI 416937 wilted more slowly in the field than elite cultivars and has been used as a parent in breeding programs to improve soybean productivity. A recombinant inbred line (RIL) population was derived from a cross between PI 416937 and Benning, and the population was phenotyped for canopy wilting under rain-fed field conditions in five distinct environments to identify the QTL associated with the canopy-wilting trait. In a combined analysis over environments, seven QTL that explained 75?% of the variation in canopy-wilting trait were identified on different chromosomes, implying the complexity of this trait. Five QTL inherited their positive alleles from PI 416937. Surprisingly, the other two QTL inherited their positive alleles from Benning. These putative QTL were co-localized with other QTL previously identified as related to plant abiotic stresses in soybean, suggesting that canopy-wilting QTL may be associated with additional morpho-physiological traits in soybean. A locus on chromosome 12 (Gm12) from PI 416937 was detected in the combined analysis as well as in each individual environment, and explained 27?% of the variation in canopy-wilting. QTL identified in PI 416937 could provide an efficient means to augment field-oriented development of drought-tolerant soybean cultivars.     

Three QTLs for <Emphasis Type="Italic">Botrytis cinerea</Emphasis> resistance in tomato

Tomato (Solanum lycopersicum) is susceptible to grey mold (Botrytis cinerea). Partial resistance to this fungus was identified in accessions of wild relatives of tomato such as S. habrochaites LYC4. In order to identify loci involved in quantitative resistance (QTLs) to B. cinerea, a population of 174 F₂ plants was made originating from a cross between S. lycopersicum cv. Moneymaker and S. habrochaites LYC4. The population was genotyped and tested for susceptibility to grey mold using a stem bioassay. Rbcq1, a QTL reducing lesion growth (LG) and Rbcq2, a QTL reducing disease incidence (DI) were identified. Rbcq1 is located on Chromosome 1 and explained 12% of the total phenotypic variation while Rbcq2 is located on Chromosome 2 and explained 15% of the total phenotypic variation. Both QTL effects were confirmed by assessing disease resistance in two BC₂S₁ progenies segregating for either of the two QTLs. One additional QTL, Rbcq4 on Chromosome 4 reducing DI, was identified in one of the BC₂S₁ progenies. F₂ individuals, homozygous for the Rbcq2 and Rbcq4 alleles of S. habrochaites showed a reduction of DI by 48%. QTLs from S. habrochaites LYC4 offer good perspectives for breeding B. cinerea resistant tomato cultivars. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

Mapping and validation of QTL which confer partial resistance to broadly virulent post-2000 North American races of stripe rust in hexaploid wheat

A mapping population of 186 recombinant inbred lines developed from a cross between UC1110, an adapted California spring wheat, and PI610750, a synthetic derivative from CIMMYT’s Wide Cross Program, was evaluated for its response to current California races of stripe rust (Puccinia striiformis f. sp. tritici) in replicated field trials over four seasons (2007–2010) in the northern Sacramento Valley. A genetic map was constructed consisting of 1,494 polymorphic probes (SSRs, DArTs, and ESTs) mapped to 558 unique loci, and QTL analysis revealed the presence of four stripe rust resistance QTL segregating in this population, two from UC1110 (on chromosomes 3BS and 2BS) and two from PI610750 (5AL and 2AS). The two QTL of largest effects (on 3BS and 5AL) were validated in independent populations and their intervals narrowed to 2.5 and 5.3 cM, respectively. The 3BS QTL was shown, by allelism test and genotype, to carry a gene different from the Yr30/Sr2 complex. Mapped position also suggests that the 3BS QTL is associated with a gene different from either Yrns-B1 or YrRub, two stripe rust resistance genes mapped to this region in other studies. The 5AL QTL carries a previously unreported partial stripe rust resistance gene, designated here as Yr48. This paper discusses the individual contributions to resistance of these four QTL, their epistatic interactions, and their potential in durable resistance breeding strategies based on combinations of partial resistance genes.     

Identification of QTLs for resistance to Fusarium head blight, DON accumulation and associated traits in the winter wheat variety Arina

Fusarium head blight (FHB) of wheat has become a serious threat to wheat crops in numerous countries. In addition to loss of yield and quality, this disease is of primary importance because of the contamination of grain with mycotoxins such as deoxynivalenol (DON). The Swiss winter cultivar Arina possesses significant resistance to FHB. The objective of this study was to map quantitative trait loci (QTL) for resistance to FHB, DON accumulation and associated traits in grain in a double haploid (DH) population from a cross between Arina and the FHB susceptible UK variety Riband. FHB resistance was assessed in five trials across different years and locations. Ten QTL for resistance to FHB or associated traits were detected across the trials, with QTL derived from both parents. Very few of the QTL detected in this study were coincident with those reported by authors of two other studies of FHB resistance in Arina. It is concluded that the FHB resistance of Arina, like that of the other European winter wheat varieties studied to date, is conferred by several genes of moderate effect making it difficult to exploit in marker-assisted selection breeding programmes. The most significant and stable QTL for FHB resistance was on chromosome 4D and co-localised with the Rht–D1 locus for height. This association appears to be due to linkage of deleterious genes to the Rht-D1b (Rht2) semi-dwarfing allele rather than differences in height per se. This association may compromise efforts to enhance FHB resistance in breeding programmes using germplasm containing this allele.     

番茄中Rpi-blb2同源基因的挖掘与鉴定

番茄晚疫病是番茄生产中的主要病害之一,经常会造成较大的经济损失。晚疫病生理小种的变异和进化常会导致番茄品种原有的遗传抗性丧失,因此不断挖掘新的抗性基因,改良番茄晚疫病抗性是番茄抗病育种的长期任务。该研究采用BLAST同源比对的方法,以马铃薯野生近缘种的晚疫病抗性蛋白序列Rpi-blb2为种子序列,在NCBI蛋白质序列数据库中检索得到11条番茄蛋白质序列,这些序列与种子序列相似性为78%~83%,属于番茄疾病抗性蛋白家族,并对该家族成员进行了基因结构、基因定位、序列保守结构域和进化关系等分析。结果表明:该家族中10条序列分布在第Ⅵ条染色体上,1条分布在第Ⅴ染色体上;6号染色体上的10序列呈现2个抗病基因簇分布,在染色体上分别占据2个和3个基因位点;10条同源蛋白是Rpi-blb2的共同垂直同源蛋白,但不具有平行同源关系,大多数成员定位于细胞质。按照蛋白质保守结构域和基因定位的不同可分为三类,第一类共4条系列,包含有DUF3542和NB-ARC两个保守结构域特征序列;第二类共6条序列,与马铃薯Rpi-blb2蛋白一样,仅包含NB-ARC保守结构域特征序列,在这2类蛋白序列的NB-ARC结构域均位于序列中部;第三类(仅包含XP_004239406.1)虽然也具有与第一类蛋白相似的DUF3542和NB-ARC结构域,但在结构域两端的非保守区序列较短,且位于5号染色体上,因此将其单独归为1类。前两类蛋白成员相应的基因具有1~2个内含子,第3类蛋白不含内含子。该研究结果为利用生物技术选育番茄抗性品种提供了理论基础。     

Quantitative trait loci increasing acylsugars in tomato breeding lines and their impacts on silverleaf whiteflies

Solanum pennellii LA716, a wild relative of tomato, produces acylsugars, an insect resistance compound with activity against many tomato insect pests. Breeding of cultivated tomato using S. pennellii LA716 as a donor parent has led to the development of the elite acylsugar-producing tomato breeding line CU071026. CU071026 contains five introgressed S. pennellii genomic regions, and produces acylsugars at moderate levels that are effective against insect pests. A BC1F1 population was created by crossing the F1 CU071026?×?S. pennellii LA716 with CU071026 as the recurrent parent; this BC1F1 population was used to identify additional regions of the S. pennellii genome important for further improvement of acylsugar production. This population was genotyped with 94 markers in the segregating regions and phenotyped for level of acylsugar production. Using QTLNetwork 2.1 for the detection of quantitative trait loci (QTL) and epistatic interactions, this study identified five QTL for total acylsugar level. Additionally, two epistatic interactions between QTL were found to control significant levels of total acylsugar production. Two of the QTL identified were further evaluated in silverleaf whitefly (Bemisia tabaci) field cage trials using acylsugar breeding lines that differ for the presence/absence of these QTL. While high levels of silverleaf whitefly resistance were observed in all acylsugar breeding lines, lines containing the additional QTL on either chromosomes 6 or 10 had increased levels of total acylsugar production and reduced incidence of whitefly. Acylsugar lines containing the chromosome 6 QTL also had increased density of the type IV glandular trichomes which produce and exude acylsugars.     

Mapping of a Quantitative Trait Locus for Beef Marbling on Bovine Chromosome 9 in Purebred Japanese Black Cattle

The goal of this study is to detect quantitative trait loci (QTL) for carcass traits applicable for a DNA-based breeding system in a Japanese Black cattle population. A purebred paternal half-sib family from a commercial line composed of 65 steers was initially analyzed using 188 informative microsatellites giving a 16-cM average interval covering 29 autosomes. A significant QTL for marbling was detected in the centromeric portion of bovine chromosome (BTA) 9. After additional marker genotyping across a larger sample size composed of 169 individuals, this locus was refined to a 20-cM confidence interval between microsatellites BM1227 (24 cM) and DIK2741 (50 cM) at a 1% chromosome-wise threshold. The allele substitution effect between Q and q for a beef marbling standard score (1 to 12 range) on BTA9 was 1.0 (5.7% of total phenotypic variance in QTL contribution in this family). This result provides a primary platform for a marker-assisted selection system of the beef marbling trait within the Japanese Black (Wagyu) cattle population.     

Joint linkage QTL analyses for partial resistance to Phytophthora sojae in soybean using six nested inbred populations with heterogeneous conditions

Partial resistance to Phytophthora sojae in soybean is controlled by multiple quantitative trait loci (QTL). With traditional QTL mapping approaches, power to detect such QTL, frequently of small effect, can be limited by population size. Joint linkage QTL analysis of nested recombinant inbred line (RIL) populations provides improved power to detect QTL through increased population size, recombination, and allelic diversity. However, uniform development and phenotyping of multiple RIL populations can prove difficult. In this study, the effectiveness of joint linkage QTL analysis was evaluated on combinations of two to six nested RIL populations differing in inbreeding generation, phenotypic assay method, and/or marker set used in genotyping. In comparison to linkage analysis in a single population, identification of QTL by joint linkage analysis was only minimally affected by different phenotypic methods used among populations once phenotypic data were standardized. In contrast, genotyping of populations with only partially overlapping sets of markers had a marked negative effect on QTL detection by joint linkage analysis. In total, 16 genetic regions with QTL for partial resistance against P. sojae were identified, including four novel QTL on chromosomes 4, 9, 12, and 16, as well as significant genotype-by-isolate interactions. Resistance alleles from PI 427106 or PI 427105B contributed to a major QTL on chromosome 18, explaining 10–45 % of the phenotypic variance. This case study provides guidance on the application of joint linkage QTL analysis of data collected from populations with heterogeneous assay conditions and a genetic framework for partial resistance to P. sojae.     

Mapping quantitative trait loci controlling common bunt resistance in a doubled haploid population derived from the spring wheat cross RL4452 × AC Domain

Wheat resistance to common bunt is a highly desirable trait for environmentally friendly grain grade protection. Valuable breeding achievements have been made to develop wheat varieties with enhanced resistance to the disease, and mapping of race-specific resistance genes has been reported. However, less is known of the chromosomal regions that control non-race specific resistance to common bunt. In this study, we have characterized a segregating population of 185 doubled haploid spring wheat lines derived from the cross RL4452 × AC Domain. Reactions to a mixture of common bunt races were assessed under field simulated spring-sown conditions in greenhouses in two locations over 2 years. A total 369 polymorphic maker loci including 356 microsatellite loci, five expressed sequences tag (ESTs), and eight genes were used to develop a linkage map. Quantitative trait loci (QTL) analysis using composite interval mapping detected three QTLs associated with common bunt resistance, of which two were located on chromosome 1B and one on chromosome 7A. AC Domain alleles contributed the common bunt resistance at all three QTLs. Usefulness of gene tagging within the identified chromosomal regions for common bunt resistance breeding is discussed.