Identification and confirmation of quantitative trait loci controlling resistance to mungbean yellow mosaic disease in mungbean [Vigna radiata (L.) Wilczek]

Mungbean yellow mosaic India virus (MYMIV) is a major constraint on mungbean production in South and Southeast Asia. The virus belongs to the genus Begomovirus, causing yellow mosaic disease and subsequently yield loss up to 75–100 %. The present study employed F₂ and BC₁F₁ populations derived from a cross between susceptible (BARImung 1; BM1) and resistant (BARImung 6; BM6) mungbeans to identify quantitative trait loci (QTLs) associated with resistance to MYMIV. Resistance to the virus was evaluated using F_2:3 and BC₁F_1:2 populations under field conditions in two locations in Bangladesh in 2012. A total of 1,165 simple sequence repeat markers from different legumes were used to detect the polymorphism between BM1 and BM6. Sixty-one polymorphic markers were used to construct a linkage map comprising 11 linkage groups. Composite interval mapping consistently identified two major QTLs, qMYMIV2 on linkage group 2 and qMYMIV7 on linkage group 7, conferring the resistance in both F₂ and BC₁F₁ populations. qMYMIV2 and qMYMIV7 accounted for 31.42–37.60 and 29.07–47.36 %, respectively, of the disease score variation, depending on populations and locations. At both loci, the resistant alleles were contributed by the parent BM6. qMYMIV2 appeared to be common to a major QTL for MYMIV resistance in mungbean reported previously, while qMYMIV7 is a new QTL for the resistance. The markers linked to the QTLs in this study are useful in marker-assisted breeding for development of mungbean varieties resistant to MYMIV.     

Identification of two blackleg resistance genes and fine mapping of one of these two genes in a <Emphasis Type="Italic">Brassica napus</Emphasis> canola cultivar ‘Surpass 400’

Blackleg resistant cultivars have been developed through conventional breeding methods and are successfully used globally to control this disease in canola production. To clone blackleg resistance genes and to understand the mechanism underlying the resistance, a blackleg resistant canola cultivar ‘Surpass 400’ was used to develop a gene mapping population. A previously reported high density genetic map was used to find a resistance gene region that corresponded to linkage group N10 in B. napus. Differential interactions between the resistant lines and a pathogen isolate were discovered with two resistance genes BLMR1 and BLMR2 identified through linkage analysis of five genome-specific molecular markers. BLMR1 provides resistance through the hypersensitive response that protects inoculated cotyledons from becoming infected, Unlike BLMR1, BLMR2 slows down the development of individual infection loci. BLMR1 and BLMR2 segregated independently in two large F₃BC₂ populations. Fine mapping of BLMR1 was performed with 12 genome-specific molecular markers. The closest marker with a genetic distance of 0.13 cM to BLMR1 was identified, which lays a solid foundation for cloning BLMR1.     

Inheritance and QTL mapping of Fusarium wilt race 4 resistance in cotton

Diseases such as Fusarium wilt [Fusarium oxysporum f.sp. vasinfectum (FOV) Atk. Sny & Hans] represent expanding threats to cotton production. Integrating disease resistance into high-yielding, high-fiber quality cotton (Gossypium spp.) cultivars is one of the most important objectives in cotton breeding programs worldwide. In this study, we conducted a comprehensive analysis of gene action in cotton governing FOV race 4 resistance by combining conventional inheritance and quantitative trait loci (QTL) mapping with molecular markers. A set of diverse cotton populations was generated from crosses encompassing multiple genetic backgrounds. FOV race 4 resistance was investigated using seven parents and their derived populations: three intraspecific (G. hirsutum × G. hirsutum L. and G. barbadense × G. barbadense L.) F₁ and F₂; five interspecific (G. hirsutum × G. barbadense) F₁ and F₂; and one RIL. Parents and populations were evaluated for disease severity index (DSI) of leaves, and vascular stem and root staining (VRS) in four greenhouse and two field experiments. Initially, a single resistance gene (Fov4) model was observed in F₂ populations based on inheritance of phenotypes. This single Fov4 gene had a major dominant gene action and conferred resistance to FOV race 4 in Pima-S6. The Fov4 gene appears to be located near a genome region on chromosome 14 marked with a QTL Fov4-C14 ₁ , which made the biggest contribution to the FOV race 4 resistance of the generated F₂ progeny. Additional genetic and QTL analyses also identified a set of 11 SSR markers that indicated the involvement of more than one gene and gene interactions across six linkage groups/chromosomes (3, 6, 8, 14, 17, and 25) in the inheritance of FOV race 4 resistance. QTLs detected with minor effects in these populations explained 5–19 % of the DSI or VRS variation. Identified SSR markers for the resistance QTLs with major and minor effects will facilitate for the first time marker-assisted selection for the introgression of FOV race 4 resistance into elite cultivars during the breeding process.     

Genetic mapping and QTL analysis for yield and agronomic traits with an F2:3 population derived from a waxy corn × sweet corn cross

We constructed a framework map using SSR markers in the F₂ population derived from a cross between a waxy corn inbred line and a sweet corn inbred line. We constructed a genetic linkage map of the F_2:3 population employing 295 SSR markers on 158 F₂ individuals produced from the cross. The map comprised a total genomic length of 2,626.5 cM in 10 linkage groups and an average distance between markers of 8.9 cM. The number of loci per linkage group ranged from 27 (chr. 5) to 34 (chr. 7). The genetic distance per linkage group ranged from 213.6 cM (chr. 10) to 360.6 cM (chr. 2). Χ ² tests revealed that 254 markers (86.1 %) distributed over all 10 chromosomes exhibited a Mendelian segregation ratio of 1:2:1. A total of 14 quantitative trait loci (QTLs) for days to silking (DTS), plant height (PH), ear height (EH), ear height ratio (ER), ear length (L-ear), and setted ear length (L-sear) were found in the 158 F₂ progeny. They were mapped to chromosomes 1, 2, 3, 7, 8, and 10. Among them, one QTL was associated with DTS, three with PH, six with EH, one with ER, two with L-ear, and one QTL was related to L-sear. In our study, we found that four QTLs: qDTS1, qEH1a, qEH1b, and qPH1, were clustered between umc2390 and umc1603 on chromosome 1. These new QTLs identified by the present study could serve as useful molecular markers in selecting for yield and agronomic traits in maize. The results of this study may improve the identification and characterization of genes responsible for yield and agronomic traits in waxy corn and sweet corn.     

Quantitative trait locus (QTL) analysis of fruit-quality traits for mandarin breeding in Japan

The improvement of fruit quality is an important objective in citrus breeding. Using an F₁ segregating population from a cross between citrus cultivars ‘Harehime’ (‘E647’—‘Kiyomi’ [Citrus unshiu Marcow. ‘Miyagawa Wase’ × Citrus sinensis (L.) Osbeck ‘Trovita’] × ‘Osceola’—a cultivar of clementine [Citrus clementina hort. ex Tanaka] × ‘Orland’ [Citrus paradisi Macfad. ‘Duncan’ × Citrus tangerina hort. ex Tanaka] × ‘Miyagawa Wase’) and ‘Yoshida’ ponkan (Citrus reticulata Blanco ‘Yoshida’), a SNP-based genetic linkage map was constructed and quantitative trait locus (QTL) mapping of four fruit-quality traits (fruit weight, sugar content, peel puffing, and water rot) was performed. The constructed genetic linkage map of ‘Harehime’ consisted of 442 single nucleotide polymorphisms (SNPs) on 9 linkage groups (LGs) and covered 635.8 cM of the genome, while that of ‘Yoshida’ ponkan consisted of 332 SNPs on 9 LGs and covered 892.9 cM of its genome. We identified four QTLs associated with fruit weight, one QTL associated with sugar content, three QTLs associated with peel puffing, and one QTL associated with water rot. For these QTL regions, we estimated the haplotypes of the crossed parents and verified the founding cultivars that these QTLs were originated from and their inheritance in descendant cultivars using pedigree information. QTLs identified in this study provide useful information for marker-assisted breeding of citrus in Japan.     

QTL mapping for brown rot (Monilinia fructigena) resistance in an intraspecific peach (Prunus persica L. Batsch) F1 progeny

Brown rot (BR) caused by Monilinia spp. leads to significant post-harvest losses in stone fruit production, especially peach. Previous genetic analyses in peach progenies suggested that BR resistance segregates as a quantitative trait. In order to uncover genomic regions associated with this trait and identify molecular markers for assisted selection (MAS) in peach, an F1 progeny from the cross “Contender” (C, resistant)?×?“Elegant Lady” (EL, susceptible) was chosen for quantitative trait loci (QTL) analysis. Over two phenotyping seasons, skin (SK) and flesh (FL) artificial infections were performed on fruits using a Monilinia fructigena isolate. For each treatment, infection frequency (if) and average rot diameter (rd) were scored. Significant seasonal and intertrait correlations were found. Maturity date (MD) was significantly correlated with disease impact. Sixty-three simple sequence repeats (SSRs) plus 26 single-nucleotide polymorphism (SNP) markers were used to genotype the C?×?EL population and to construct a linkage map. C?×?EL map included the eight Prunus linkage groups (LG), spanning 572.92 cM, with an average interval distance of 6.9 cM, covering 78.73 % of the peach genome (V1.0). Multiple QTL mapping analysis including MD trait as covariate uncovered three genomic regions associated with BR resistance in the two phenotyping seasons: one containing QTLs for SK resistance traits near M1a (LG C?×?EL-2, R ²?=?13.1–31.5 %) and EPPISF032 (LG C?×?EL-4, R ²?=?11–14 %) and the others containing QTLs for FL resistance, near markers SNP_IGA_320761 and SNP_IGA_321601 (LG3, R ²?=?3.0–11.0 %). These results suggest that in the C?×?EL F1 progeny, skin resistance to fungal penetration and flesh resistance to rot spread are distinguishable mechanisms constituting BR resistance trait, associated with different genomic regions. Discovered QTLs and their associated markers could assist selection of new cultivars with enhanced resistance to Monilinia spp. in fruit.     

Association mapping validates previously identified quantitative trait loci for salt tolerance in rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.)

Salinity is the main abiotic stress that limits rice (Oryza sativa L.) production worldwide. An association mapping project was designed to validate quantitative trait loci (QTLs) in rice associated with Na⁺, K⁺ and Ca⁺⁺ accumulation traits identified in our previous study of linkage mapping. Twenty four varieties/lines of rice were phenotyped for biochemical and yield traits. Among these varieties/lines, two mapping parents, Pokkali and IR-36, of our previous linkage mapping study were also included. For marker-trait assessments, both general linear model (GLM) and mixed linear model (MLM) analyses were performed. Thirteen significant marker-trait associations at P ≤ 0.001 were identified. Associated markers for these marker-trait associations were RM503, RM225, RM152, and RM254 located on chromosomes 3, 6, 8, and 11, respectively. Previously identified QTLs in linkage mapping study for Na⁺ uptake, Ca⁺⁺ uptake, total cations uptake, Ca⁺⁺ uptake ratio, K⁺ uptake ratio, and Na⁺/K⁺ uptake were validated in this study. Heritability values for these traits ranged from 1.00e-05 to 1. Linked markers for these validated QTLs were RM140, RM243, RM203, RM480, RM137, and RM254 located on chromosomes 1, 1, 3, 5, 8, and 11, respectively. These markers will be a valuable resource for marker-assisted breeding (MAB) approach to develop elite salt tolerant rice cultivars. This study demonstrates the potential of association mapping approach to validate previously identified QTLs.     

Analysis of QTLs for emcic acid and oil content in seeds on A8 chro- mosome and the linkage drag between the alleles for the two traits in Brassica napus

The history of canola breeding began with the discovery of germplasm with low erucic acid content in seeds of spring forage cultivar in the 1950's. FAE1 mutations led to a dramatic decrease of the seed erucic acid content in Arabidopsis thaliana. The products of the two FAE1 loci, BnA8.FAE1 and BnC3.FAE1, showed additive effects to the level of erucic acid content in oilseed rape. Previous research believed that the pleiotropy of FAE1 was responsible for the decrease in seed oil content along with the reduction of seed erucic acid content in the modern cultivars. TN DH population was developed from a canola cultivar Tapidor and a Chinese traditional cultivar Ningyou7. The population had been tested in 10 and 11 environments to map QTLs for the erucic acid content and oil content in seeds. As the map resolution increased, a novel QTL for seed erucic acid content was revealed, after Meta-analysis, 7 cM away from the most significant seed erucic acid content QTL where BnA8.FAE1 is located. Seven independent QTLs for seed oil content (qOC) were detected around the two seed erucic acid content QTLs (qEA) across 39.20 cM on linkage group A8. Two of the qOCs co-localized with the two qEAs, respectively, and were detected in a single environment. The other five qOCs were detected in 10 of 11 environments independent of qEAs. Alleles from Tapidor in all the QTLs at the 0–39.20 cM region contributed negative effects to either erucic acid content or oil content in seeds. Parallel, genotyping showed that on 5 of the 7 QTLs regions, Tapidor alleles had the same genotypes with that in ‘Liho’, the original low seed erucic acid content source. Through rounds of crossbreeding with oil-cropped cultivars and intensive selection for multi generations, Tapidor still had the inferior alleles for low seed oil content from ‘Liho’, the forage rape. This showed a strong linkage drag of low seed oil content, which was controlled by the five qEA-independent qOCs, with low seed erucic acid content. Ninety cultivars of B. napus from 8 countries were used to analyze the genetic drag with 9 molecular markers located in the QTL confidence intervals (24.04 cM) on linkage group A8. It was noticed that more than 46% of the cultivars with low seed erucic acid content trait remained the genotype of low seed oil content at least in one locus. Backcross and marker-assisted selection could break the genetic drag between the low oil content and erucic acid in seeds in the process for breeding modern high seed oil content canola cultivars.     

Quantitative trait loci associated with tipburn, heat stress-induced physiological disorders, and maturity traits in crisphead lettuce

Crisphead lettuce (Lactuca sativa L.) crops exhibit several economically important, physiological disorders when grown in high temperature conditions. These include tipburn, rib discoloration, premature bolting, ribbiness, and internal rib cracking. We evaluated seven physiological disorders and three agronomic traits segregating in a recombinant inbred line (RIL) population consisting of 152 F₇ RILs derived from an intra-specific cross between two crisphead cultivars, L. sativa cv. Emperor x L. sativa cv. El Dorado; evaluations were carried out at each of two parental maturities in one planting and at one intermediate maturity in a second planting in each of 2 years for a total of six evaluations. A genetic map was developed using 449 polymorphic SNP markers; it comprises 807 cM in 20 linkage groups that covered 51 % of the nine lettuce chromosomes. Composite interval mapping revealed a total of 36 significant QTLs for eight out of the ten traits evaluated. Significant QTLs were distributed in 11 linkage groups on seven of the chromosomes and accounted for up to 83 % of the phenotypic variation observed. The three largest QTLs for rib discoloration, which accounted individually for 7–21 % of the variation, were clustered with stem length, two with ribbiness and one with head firmness. Three major clusters of QTLs revealed pleiotropic effects or tight linkage between tipburn incidence and severity, head type, stem length, head firmness and ribbiness. One QTL, qTPB5.2, was detected in multiple trials and described 38–70 % of the variation in tipburn incidence. qTPB5.2 is, therefore, a useful candidate gene for breeding for tipburn resistance using marker-assisted selection.     

Oil palm (Elaeis guineensis Jacq.) linkage map,and quantitative trait locus analysis for sex ratio and related traits

Sex ratio and shell-thickness type are among the main components determining yield in oil palm. An integrated linkage map of oil palm was constructed based on 208 offspring derived from a cross between two tenera palms differing in inherited sex ratio. The map consisted of 210 genomic simple sequence repeats (SSRs), 28 expressed sequence tag SSRs, 185 amplified fragment length polymorphism markers, and the Sh locus, which controls shell-thickness phenotype, distributed across 16 linkage groups covering 1,931 cM, with an average marker distance of 4.6 cM. Quantitative trait locus (QTL) analysis identified eight QTLs across six linkage groups associated with sex ratio and related traits. These QTLs explained 8.1–13.1 % of the total phenotypic variance. The QTL for sex ratio on linkage group 8 overlapped with a QTL for number of male inflorescences. In most cases a specific QTL allele combination was responsible for genotype class mean differences, suggesting that most QTLs in heterozygous oil palm are likely to be segregating for multiple alleles with different degrees of dominance. In addition, two new SSRs were shown to flank the major Sh locus controlling the fruit variety type in oil palm.     

Mapping and validation of simple sequence repeat markers linked to a major gene controlling seed cadmium accumulation in soybean [Glycine max (L.) Merr]

Daily consumption of cadmium (Cd) contaminated foods poses a risk to human health. Cultivar selection is an important method to limit Cd uptake and accumulation, however, analyzing grain Cd concentration is costly and time-consuming. Developing markers for low Cd accumulation will facilitate marker assisted selection (MAS). Inheritance studies using a threshold value of 0.2 mg kg^?1 for low and high and an F_2:3 population showed that low Cd accumulation in soybean seed is under the control of a major gene (Cda1, proposed name) with the allele for low accumulation being dominant. A recombinant inbred line (RIL) population (F_6:8) derived from the cross AC Hime (high Cd accumulation) and Westag-97 (low Cd accumulation) was used to identify the DNA markers linked to Cda gene(s) or quantitative trait loci (QTLs) controlling low Cd accumulation. We screened 171 simple sequence repeat (SSR) primers that showed polymorphism between parents on the 166 RILs. Of these, 40 primers were newly developed from the soybean genomic DNA sequence. Seven SSR markers, SatK138, SatK139, SatK140 (0.5 cM), SatK147, SacK149, SaatK150 and SattK152 (0.3 cM), were linked to Cda1 in soybean seed. All the linked markers were mapped to the same linkage group (LG) K. The closest flanking SSR markers linked to Cda1 were validated using a parallel population (RILs) involving Leo × Westag-97. Linked markers were also validated with diverse soybean genotypes differing in their seed Cd concentration and showed that SSR markers SatK147, SacK149, and SattK152 clearly differentiated the high and low Cd accumulating genotypes tested. To treat Cd uptake as a quantitative trait, QTL analysis using a linkage map constructed with 161 markers identified a major QTL associated with low Cd concentration in the seeds. The QTL was also mapped to the same location as Cda1 on LG-K. This QTL accounted for 57.3% of the phenotypic variation. Potential candidate genes (genes with known or predicted function that could influence the seed Cd concentration) like protein kinase, putative Adagio-like protein, and plasma membrane H⁺-ATPase were found to be located in the locus of interest. Of the four SSR markers located in the region, SattK152 was localized in the plasma membrane H⁺-ATPase gene. SSR markers closely linked to Cda1 in seeds of soybean were identified and have potential to be used for MAS to develop low Cd accumulating cultivars in a breeding program.     

Mapping quantitative trait loci associated with blush in peach [Prunus persica (L.) Batsch]

Blush is an important trait for marketing peaches. The red skin pigmentation develops through the flavonoid and anthocyanin pathways, and both genetic and environmental stimuli, and their interaction, control the regulation of these pathways. The molecular basis of blush development in peach is yet to be understood. An F₂ blush population (ZC²) derived from a cross between two peach cultivars with contrasting phenotypes for blush, “Zin Dai” (～30 % red) and “Crimson Lady” (～100 % red), was used for linkage map construction and quantitative trait loci (QTLs) mapping. The segregating population was phenotyped for blush for 4 years using a visual rating scale and quantified using a colorimeter (L*, a*, and b*) 1 year. The ZC² population was genotyped with the IPSC 9 K peach single-nucleotide polymorphism (SNP) array v1, and a high-density ZC² genetic linkage map was constructed. The map covers genetic a distance of ～452.51 cM with an average marker spacing of 2.38 cM/marker. Four QTLs were detected: one major QTL on LG3 (Blush.Pp.ZC-3.1) and three minor QTLs on LG 4 and 7 (Blush.Pp.ZC-4.1; Blush.Pp.ZC-4.2; Blush.Pp.ZC-7.1), indicating the presence of major and minor genes involved in blush development. Candidate genes involved in skin and flesh coloration of peach (PprMYB10), cherry (PavMYB10), and apple (MdMYB1/MdMYBA/MdMYB10) are located within the interval of the major QTL on LG3, suggesting the same genetic control for color development in the Rosaceae family. Marker-assisted selection (MAS) for blush is discussed.     

Canola quality affects second (<Emphasis Type="Italic">Brevicoryne brassicae</Emphasis>) and third (<Emphasis Type="Italic">Diaeretiella rapae</Emphasis>) trophic levels

Biological control agents can be used as a complementary control measure that can be combined with resistant host plants to control pests. In this study, the effects of different canola cultivars (Karaj-1, Karaj-2, Karaj-3, Licord, Okapi, Opera, RGS₀₀₃, Sarigol, Talaye and Zarfam) on the performance and life table parameters of the cabbage aphid, Brevicoryne brassicae, and its parasitoid, Diaeretiella rapae, were determined under laboratory conditions. Total fecundity of the cabbage aphid differed with cultivar, with the highest value (59.41 nymphs per female) of this parameter observed on Opera and the lowest (1.67) observed on RGS₀₀₃. The highest and lowest intrinsic rates of increase (r) of the cabbage aphid were observed on Opera (0.331 day^?1) and RGS₀₀₃ (? 0.242 day^?1) cultivars, respectively, suggesting these to be the most susceptible and most resistant cultivars to this pest. However, because the aphid did not settle and feed well on RGS₀₀₃, it was not possible to determine demographic parameters for its parasitoid. Consequently, the Okapi cultivar, which was the most resistant cultivar to the cabbage aphid after RGS₀₀₃, was used in this study to assess the parasitoid wasp. The parasitoid’s intrinsic rate of increase (r) varied from 0.426 day^?1 on the susceptible cultivar (Opera) to 0.341 day^?1 on the resistant canola cultivar Okapi. Aphid performance decreased 93% on the resistant canola cultivar, while parasitoid performance decreased only 20% on the resistant cultivar compared to more susceptible cultivar.     

Genetic analysis and molecular mapping of seedling survival drought tolerance gene in lentil (<Emphasis Type="Italic">Lens culinaris</Emphasis> Medikus)

Lentil populations were developed from crosses between ‘JL-3’ (sensitive to drought stress) and ‘PDL-1’ and ‘FLIP-96-51’ (tolerant to drought stress), to study the inheritance of drought tolerance and to identify the markers associated with it. The parental types, F₁, F₂, F₃, and backcross (BC) generations were screened for drought tolerance using seedling survivability and drought scores. The F₁ hybrids responded similar to the drought-tolerant parent, indicating dominance of seedling drought tolerance over sensitivity. Segregation for seedling survival drought tolerance versus sensitivity in F₂ generation was in complete agreement with monogenic 3:1 ratio. The F₃ families and backcross data additionally confirmed monogenic tolerance based on seedling survival under drought. Out of 51 SSR markers screened, thirteen markers were polymorphic between the parental types. Seven markers among them were found to be associated with seedling survival drought tolerance through bulk segregant analysis. Association of these markers with seedling survival drought tolerance was further confirmed through their screening on 10 drought-tolerant and drought-sensitive genotypes. These seven markers were screened in F₂ mapping population (JL-3 × PDL-1) of 101 individuals to map their position in relation to the gene for seedling survival drought tolerance. Linkage analysis mapped the seven markers within a map distance of 133.2 cM. A single major gene Sdt was identified with a LOD value of 19.9 and phenotypic variation (R ²) of 69.7 %. The Sdt locus was obtained in the marker interval of PLC_105–PBA_LC_1480 spanning 24.9 cM with the closest marker PLC_105 at a distance of 9.0 cM on the obtained linkage group. This is the first report on genetic control and linkage of SSR markers for drought tolerance in lentil. These linked markers can be used in molecular breeding programmes for introgression of seedling survival drought tolerance gene in high-yielding cultivars.     

Mapping QTLs for morpho-agronomic traits in proso millet (<Emphasis Type="Italic">Panicum miliaceum</Emphasis> L.)

Proso millet (Panicum miliaceum L.) is the cereal crop with the low water requirement and increasingly being used for human consumption. It is the most common rotational crop within wheat-based dryland production systems in the semiarid High Plains of the USA. However, there is no published genetic map for this species, which prevents the identification of quantitative trait loci (QTL). The objectives of the present study were (1) construction of a genetic linkage map and (2) identification of DNA markers linked to QTLs for morpho-agronomic traits. A total of 93 recombinant inbred lines derived from a single F₁ (“Huntsman” × “Minsum”) were genotyped with GBS-SNP markers and phenotyped for nine morpho-agronomic traits in the field during 2013 and 2014 at Scottsbluff and Sidney, NE. IciMapping v.4.0.6.0 was used for constructing a genetic linkage map and mapping QTL. The RILs exhibited significant variation for a wide range of traits, and several traits showed evidence of genotype × environment interactions. A total of 833 GBS-SNP markers formed 18 major and 84 minor linkage groups, whereas 519 markers remained ungrouped. A total of 117 GBS-SNP markers were distributed on the 18 major linkage groups spanning a genome length of 2137 cM of proso millet with an average distance of 18 cM between markers. The length and number of markers in each of the 18 major linkage groups ranged from 54.6 to 236 cM and 4 to 12, respectively. A total of 18 QTLs for eight morpho-agronomic traits were detected on 14 linkage groups, each of which explained 13.2–34.7 % phenotypic variance. DNA markers flanking the QTLs were identified, which will aid in marker-assisted selection of these traits. To our knowledge, this is the first genetic linkage map and QTL mapping in proso millet, which will support further genetic analysis and genomics-assisted genetic improvement of this crop.     

Identification of quantitative trait loci controlling linolenic acid concentration in PI483463 (Glycine soja)

Key message

The QTLs controlling alpha-linolenic acid concentration from wild soybean were mapped on nine soybean chromosomes with various phenotypic variations. New QTLs for alpha-linolenic acid were detected in wild soybean.

Abstract

Alpha-linolenic acid (ALA) is a polyunsaturated fatty acid desired in human and animal diets. Some wild soybean (Glycine soja) genotypes are high in ALA. The objective of this study was to identify quantitative trait loci (QTLs) controlling ALA concentration in a wild soybean accession, PI483463. In total, 188 recombinant inbred lines of F_5:6, F_5:7, and F_5:8 generations derived from a cross of wild soybean PI483463 (~15 % ALA) and cultivar Hutcheson (~9 % ALA) were planted in four environments. Harvested seeds were used to measure fatty acid concentration. Single nucleotide polymorphism markers of the universal soybean linkage panel (USLP 1.0) and simple sequence repeat markers were used for molecular genotyping. Nine putative QTLs were identified that controlled ALA concentration by model-based composite interval mapping and mapped to different soybean chromosomes. The QTLs detected in four environments explained 2.4–7.9 % of the total phenotypic variation (PV). Five QTLs, qALA5_3, qALA6_1, qALA14_1, qALA15_1, and qALA17_1, located on chromosomes 5, 6, 14, 15, and 17 were identified by model-based composite interval mapping and composite interval mapping in two individual environments. Among them, qALA6_1 showed the highest contribution to the PV with 10.0–10.2 % in two environments. The total detected QTLs for additive and epistatic effects explained 52.4 % of the PV for ALA concentration. These findings will provide useful information for understanding genetic structure and marker-assisted breeding programs to increase ALA concentration in seeds derived from wild soybean PI483463.     

Construction of the First High-Density Genetic Linkage Map and Analysis of Quantitative Trait Loci for Growth-Related Traits in <Emphasis Type="Italic">Sinonovacula constricta</Emphasis>

The razor clam (Sinonovacula constricta) is an important aquaculture species, for which a high-density genetic linkage map would play an important role in marker-assisted selection (MAS). In this study, we constructed a high-density genetic map and detected quantitative trait loci (QTLs) for Sinonovacula constricta with an F₁ cross population by using the specific locus amplified fragment sequencing (SLAF-seq) method. A total of 315,553 SLAF markers out of 467.71 Mreads were developed. The final linkage map was composed of 7516 SLAFs (156.60-fold in the parents and 20.80-fold in each F₁ population on average). The total distance of the linkage map was 2383.85 cM, covering 19 linkage groups with an average inter-marker distance of 0.32 cM. The proportion of gaps less than 5.0 cM was on average 96.90%. A total of 16 suggestive QTLs for five growth-related traits (five QTLs for shell height, six QTLs for shell length, three QTLs for shell width, one QTL for total body weight, and one QTL for soft body weight) were identified. These QTLs were distributed on five linkage groups, and the regions showed overlapping on LG9 and LG13. In conclusion, the high-density genetic map and QTLs for S. constricta provide a valuable genetic resource and a basis for MAS.     

Mapping quantitative trait loci (QTL) for body weight, length and condition factor traits in backcross (BC1) family of Common carp (Cyprinus carpio L.)

Body weight and length are economical important traits in aquaculture species influenced by quantitative trait loci (QTL) and environmental factors. In this study, a backcross (BC1) common carp family, with 86 progeny, was utilized to construct genetic map for preliminary QTL mapping. The genetic map was constructed with 366 markers, including 191 SNP from gene, coverage 50 linkage groups with an average marker distance of 18.5 cM. A total of fourteen QTLs associated with body weight (BW), body length (BL) and condition factor (K) were detected on ten linkage groups (LGs). Among these QTLs detected, three (qBW8, qBL8 and qK8) were associated with BW, BL and K respectively, were mapped on LG8. qBW8 and qK8 were identified on similar interval neared locus HLJ2394 explained 14.9 and 20.9 % of the phenotype variance, while qBL8 was identified on separate nearby locus HLJ571 with 30.8 % of phenotype variance. Two QTLs, qBW13 and qK13, related with BW and K separately, were found on LG13 at different locus with phenotype variance of 25.3 and 20.9 %. Other two QTLs, qBW19 and qBL19, associated to BW and BL were mapped on same region near SNP0626 on LG19, and explained 10.3 and 15.6 % of phenotype variance. While other seven QTLs related with BW and BL were located on different LGs. Confidential interval was ranged from 1.1 to 10 cM in the present study. These markers, with lower QTL interval, have great influence on the body weight and length. Therefore, these QTLs will be helpful to find out the genes related with specific trait.     

Identification of a major QTL allele from wild soybean (Glycine soja Sieb. & Zucc.) for increasing alkaline salt tolerance in soybean

Salt-affected soils are generally classified into two main categories, sodic (alkaline) and saline. Our previous studies showed that the wild soybean accession JWS156-1 (Glycine soja) from the Kinki area of Japan was tolerant to NaCl salt, and the quantitative trait locus (QTL) for NaCl salt tolerance was located on soybean linkage group N (chromosome 3). Further investigation revealed that the wild soybean accession JWS156-1 also had a higher tolerance to alkaline salt stress. In the present study, an F₆ recombinant inbred line mapping population (n = 112) and an F₂ population (n = 149) derived from crosses between a cultivated soybean cultivar Jackson and JWS156-1 were used to identify QTL for alkaline salt tolerance in soybean. Evaluation of soybean alkaline salt tolerance was carried out based on salt tolerance rating (STR) and leaf chlorophyll content (SPAD value) after treatment with 180 mM NaHCO₃ for about 3 weeks under greenhouse conditions. In both populations, a significant QTL for alkaline salt tolerance was detected on the molecular linkage group D2 (chromosome 17), which accounted for 50.2 and 13.0% of the total variation for STR in the F₆ and the F₂ populations, respectively. The wild soybean contributed to the tolerance allele in the progenies. Our results suggest that QTL for alkaline salt tolerance is different from the QTL for NaCl salt tolerance found previously in this wild soybean genotype. The DNA markers closely associated with the QTLs might be useful for marker-assisted selection to pyramid tolerance genes in soybean for both alkaline and saline stresses.