RFLP tagging of QTLs conditioning specific leaf weight and leaf size in soybean

 Selection for high specific leaf weight (SLW) in soybean [Glycine max (L) Merr.] may increase apparent photosynthetic rate per unit leaf area (AP), which in turn may improve seed yield. In general, the SLW and leaf size are negatively correlated in soybean. To maximize total photosynthetic performance, and perhaps the seed yield, of a soybean cultivar, it would be necessary to establish a large leaf area rapidly while maintaining a high SLW. The objective of the present study was to identify quantitative trait loci (QTLs) conditioning SLW and leaf size in soybean. One hundred and twenty F₄-derived lines from a ‘Young’×PI416937 population were evaluated using restriction fragment length polymorphism (RFLP) markers. The genetic map consisted of 155 loci on 33 linkage groups (LGs) covering 973 cM of map distance. The phenotypic data were collected from two different environments – a greenhouse at Athens, Ga. and a field site at Windblow, N.C. The SLW and leaf-size measurements were made on leaves from the 8th and 9th node of soybean plants at the V12 stage of development. Combined over environments, six putative independent RFLP markers were associated with SLW, and four of these loci were consistent across environments. Individually, the six markers each explained between 8 and 18% of the phenotypic variation among lines for SLW. The Young alleles contributed to a greater SLW at four of the six independent marker loci, and transgressive segregation occurred among the progeny for SLW. Three putative independent RFLP markers were associated with leaf size, each explaining between 6 to 11% of the phenotypic variation in the trait, and one of these markers was identified in both environments. There was no correlation between SLW and leaf size in this population. Similarly, none of the six QTLs conditioning SLW were linked to any of the three QTLs for leaf size. In this soybean population, it is possible to select for progeny lines with greater SLW than either parent perhaps without affecting the leaf size. It is feasible to pyramid all of the desirable alleles for greater SLW and large leaf size in a single genetic background. Received: 16 August 1997 / Accepted: 20 October 1997     

Quantitative trait loci analysis for the developmental behavior of Soybean (Glycine max L. Merr.)

Quantitative trait loci (QTLs) identified so far in soybean were mainly derived in the final stage of plant development, which did not apply to the exploitation of genetic effects that were expressed during a specific developmental stage. Thus, the aim of this study was to identify conditional QTLs associated with yield traits at a specific developmental interval of soybean plant. The 143 recombinant inbred lines developed from the cross of soybean cultivars ‘Charleston’ and ‘Dongnong 594’ were used for the developmental QTLs analysis of pod number in the main stem and plant height by composite interval mapping method combined with mixed genetic model. The results indicated that the number and type of QTLs and their genetic effects for the two agronomic traits were different in a series of measuring stages. A total of 10 unconditional QTLs in 6 linkage groups and 5 conditional QTLs in 3 linkage groups were identified for the pod number of the main stem, while 13 unconditional QTLs in 7 linkage groups and 12 conditional QTLs in 6 linkage groups were identified for plant height. Many QTLs that were detected in the early stages were different from those detected at the later stages. Some QTLs existed only at one stage and others existed across two or three stages. Five marker intervals (satt509-satt251, sat_099-sat_113, sat_113-OPAW19_4, satt457-OPC10_85, sat_095-OPBA08_5) were proven to be associated both with the development of pod number in the main stem and the development of plant height. The present study suggested that the development of pods and plant height in soybean were governed by time-dependent gene expression.     

Soybean looper (Lepidoptera: Noctuidae) oviposition on cotton and soybean of different growth stages: influence of olfactory stimuli

Soybean looper, Pseudoplusia includens (Walker), oviposition in cotton, Gossypium hirsutum L., and soybean, Glycine max (L.) Merr., of various stages of plant phenological development was evaluated in field cages in 1994, 1995, and 1996. Overall, females preferred to oviposit on soybean over cotton when both crops were compared in vegetative or prebloom stages, when both crops were blooming, and when soybean was blooming or in early pod stage compared with prebloom cotton. Females preferred to deposit eggs on the lower leaf surface in the upper two-thirds of the plant canopy in cotton and soybean. Oviposition in upper and middle canopy levels varied with plant growth stage. Females tended to lay more eggs in the upper canopy compared with the middle canopy in prebloom cotton and vegetative soybean; more eggs were laid in the middle canopy of blooming cotton and reproductive stages of soybean. Females responded to both cotton and soybean volatiles in an olfactometer. There was no significant difference in response to the two sources of volatiles.     

Interval mapping of quantitative trait loci for reproductive,morphological, and seed traits of soybean (Glycine max L.)

Quantitative trait loci (QTL) were mapped in segregating progeny from a cross between two soybean (Glycine max (L.) Merr.) cultivars: Minsoy (PI 27.890) and Noir 1 (PI 290.136). The 15 traits analyzed included reproductive, morphological, and seed traits, seed yield and carbon isotope discrimination ratios (¹³C/¹²C). Genetic variation was detected for all of the traits, and transgressive segregation was a common phenomenon. One hundred and thirty-two linked genetic markers and 24 additional unlinked markers were used to locate QTL by interval mapping and one-way analysis of variance, respectively. Quantitative trait loci controlling 11 of the 15 traits studied were localized to intervals in 6 linkage groups. Quantitative trait loci for developmental and morphological traits (R1, R5, R8, plant height, canopy height, leaf area, etc.) tended to be clustered in three intervals, two of which were also associated with seed yield. Quantitative trait loci for seed oil were separated from all the other QTL. Major QTL for maturity and plant height were linked to RFLP markers R79 (31% variation) and G173 (53% variation). Quantitative trait loci associated with unlinked markers included possible loci for seed protein and weight. Linkage between QTL is discussed in relation to the heritability and genetic correlation of the traits.     

Identification of quantitative trait loci for plant height, lodging, and maturity in a soybean population segregating for growth habit

The use of molecular markers to identify quantitative trait loci (QTLs) has the potential to enhance the efficiency of trait selection in plant breeding. The purpose of the present study was to identify additional QTLs for plant height, lodging, and maturity in a soybean, Glycine max (L.) Merr., population segregating for growth habit. In this study, 153 restriction fragment length polymorphisms (RFLP) and one morphological marker (Dt1) were used to identify QTLs associated with plant height, lodging, and maturity in 111 F₂-derived lines from a cross of PI 97100 and Coker 237. The F₂-derived lines and two parents were grown at Athens, Ga., and Blackville, S.C., in 1994 and evaluated for phenotypic traits. The genetic linkage map of these 143 loci covered about 1600 cM and converged into 23 linkage groups. Eleven markers remained unlinked. Using interval-mapping analysis for linked markers and single-factor analysis of variance (ANOVA), loci were tested for association with phenotypic data taken at each location as well as mean values over the two locations. In the combined analysis over locations, the major locus associated with plant height was identified as Dt1 on linkage group (LG) L. The Dt1 locus was also associated with lodging. This locus explained 67.7% of the total variation for plant height, and 56.4% for lodging. In addition, two QTLs for plant height (K007 on LG H and A516b on LG N) and one QTL for lodging (cr517 on LG J) were identified. For maturity, two independent QTLs were identified in intervals between R051 and N100, and between B032 and CpTI, on LG K. These QTLs explained 31.2% and 26.2% of the total variation for maturity, respectively. The same QTLs were identified for all traits at each location. This consistency of QTLs may be related to a few QTLs with large effects conditioning plant height, lodging, and maturity in this population.     

Effects of weed management systems on canopy insects in herbicide-resistant soybeans

The effects of transgenic herbicide-resistant soybean varieties and their corresponding weed management strategies on canopy insects were examined in studies at two locations in Iowa in 1997 and 1998. Weed management systems that allowed more weed escapes typically had higher insect population densities. However, systems with fewer weeds seemingly were preferred by potato leafhoppers. Bean leaf beetles and potato leafhoppers showed preferences for certain soybean varieties, but these effects were attributed to soybean plant height. These findings indicate that although the transgenic soybean varieties did not strongly affect insect populations, weed management systems can affect insect populations in soybean. However, this impact is likely related more to weed suppression effectiveness than to a direct effect of the herbicides on the insects.     

The effect of brassinosteroids on the morphology,development and yield of field-grown maize

The response of two field-grown inbred lines of maize (Zea mays L.) and their F1 hybrid to the application of 10⁻⁸–10⁻¹⁴ M solutions of 24-epibrassinolide or synthetic androstane analogue of castasterone in V3/4 and V6/7 developmental stages was followed during the vegetative and early reproductive phases of plant development. Brassinosteroids (BRs) significantly affected (either positively or negatively, depending on the genotype and the developmental stage they were applied) the height of plants during the early weeks after their application, but not the final plant height nor the number of leaves. Spraying of plants with BRs in V3/4 developmental stage usually also increased the length of the 7th to 10th leaf, whereas the application in V6/7 developmental stage had the opposite effect. The beginning of the reproductive phase of plant development and the course of flowering was strongly influenced by the application of BRs. Treatment of plants in V3/4 stage delayed and treatment of plants in V6/7 stage advanced the dates of anthesis and silking, regardless of the type of BR used, its concentration or plant genotype. The influence of BRs on the development of the secondary ear was the least pronounced in the F1 hybrid; in both inbred lines it strongly depended on the concentrations of BRs used. Various yield parameters were also affected by treatment of plants with BRs, but this effect depended on the developmental stage during which the application of BRs occured, the plant genotype, the type of BR and its concentration.     

Time series canopy phenotyping enables the identification of genetic variants controlling dynamic phenotypes in soybean

Advances in plant phenotyping technologies are dramatically reducing the marginal costs of collecting multiple phenotypic measurements across several time points. Yet, most current approaches and best statistical practices implemented to link genetic and phenotypic variation in plants have been developed in an era of single-time-point data. Here, we used time-series phenotypic data collected with an unmanned aircraft system for a large panel of soybean (Glycine max (L.) Merr.) varieties to identify previously uncharacterized loci. Specifically, we focused on the dissection of canopy coverage (CC) variation from this rich data set. We also inferred the speed of canopy closure, an additional dimension of CC, from the time-series data, as it may represent an important trait for weed control. Genome-wide association studies (GWASs) identified 35 loci exhibiting dynamic associations with CC across developmental stages. The time-series data enabled the identification of 10 known flowering time and plant height quantitative trait loci (QTLs) detected in previous studies of adult plants and the identification of novel QTLs influencing CC. These novel QTLs were disproportionately likely to act earlier in development, which may explain why they were missed in previous single-time-point studies. Moreover, this time-series data set contributed to the high accuracy of the GWASs, which we evaluated by permutation tests, as evidenced by the repeated identification of loci across multiple time points. Two novel loci showed evidence of adaptive selection during domestication, with different genotypes/haplotypes favored in different geographic regions. In summary, the time-series data, with soybean CC as an example, improved the accuracy and statistical power to dissect the genetic basis of traits and offered a promising opportunity for crop breeding with quantitative growth curves.     

Mapping of RFLP and qualitative trait loci in Brassica rapa and comparison to the linkage maps of B. napus,B. oleracea,and Arabidopsis thaliana

A linkage map of restriction fragment length polymorphisms (RFLPs) was constructed for oilseed, Brassica rapa, using anonymous genomic DNA and cDNA clones from Brassica and cloned genes from the crucifer Arabidopsis thaliana. We also mapped genes controlling the simply inherited traits, yellow seeds, low seed erucic acid, and pubescence. The map included 139 RFLP loci organized into ten linkage groups (LGs) and one small group covering 1785 cM. Each of the three traits mapped to a single locus on three different LGs. Many of the RFLP loci were detected with the same set of probes used to construct maps in the diploid B. oleracea and the amphidiploid B. napus. Comparisons of the linkage arrangements between the diploid species B. rapa and B. oleracea revealed six LGs with at least two loci in common. Nine of the B. rapa LGs had conserved linkage arrangements with B. napus LGs. The majority of loci in common were in the same order among the three species, although the distances between loci were largest on the B. rapa map. We also compared the genome organization between B. rapa and A. thaliana using RFLP loci detected with 12 cloned genes in the two species and found some evidence for a conservation of the linkage arrangements. This B. rapa map will be used to test for associations between segregation of RFLPs, detected by cloned genes of known function, and traits of interest.     

Relationship of Heliothis zea predators, parasitoids and entomopathogens to canopy development in soybean as affected by Heterodera glycines and weeds

The influence of canopy development in soybean on the survival of corn earworm, Heliothis zea (Boddie) (Lepidoptera: Noctuidae), egg and larval stages and population dynamics of arthropod fauna were evaluated in field trials during 1986–88 in eastern North Carolina. Soybean canopy size decreased as soybean cyst nematode, Heterodera glycines Ichinohe (Nematoda: Heteroderidae), initial population densities increased. Plant species composition of the soybean canopy was affected by weed population densities. Mortality of H. zea larvae due to parasitism and infection with entomopathogens was greater in closed canopy and (or) weedy soybeans than in very open and (or) weed free soybeans. Predation and parasitism of corn earworm eggs were similar across nematode and weed density treatments. Natural enemy populations increased to highest levels during July in closed canopy and (or) weedy soybeans, coinciding with availability of largest prey population reservoirs. A delay in colonization of very open and (or) weed free soybeans by beneficial arthropods until mid to late August allowed greater H. zea larval survival than in closed canopy and (or) weedy soybeans. Arthropod species richness was generally greatest in closed canopy and (or) weedy soybeans during mid to late July, with differences becoming nonsignificant in August and early September. Mean and maximum ambient temperatures were higher and relative humidities lower in open canopy than in closed canopy plots. These conditions were less favorable for development of pathogens and natural enemies.     

Linkage Groups of Protein-Coding Genes in Western Palearctic Water Frogs Reveal Extensive Evolutionary Conservation

Among progeny of a hybrid (Rana shqiperica X R. lessonae) X R. lessonae, 14 of 22 loci form four linkage groups (LGs): (1) mitochondrial aspartate aminotransferase, carbonate dehydratase-2, esterase 4, peptidase D; (2) mannosephosphate isomerase, lactate dehydrogenase-B, sex, hexokinase-1, peptidase B; (3) albumin, fructose-biphosphatase-1, guanine deaminase; (4) mitochondrial superoxide dismutase, cytosolic malic enzyme, xanthine oxidase. Fructose-biphosphate aldolase-2 and cytosolic aspartate aminotransferase possibly form a fifth LG. Mitochondrial aconitate hydratase, α-glucosidase, glyceraldehyde-3-phosphate dehydrogenase, phosphogluconate dehydrogenase, and phosphoglucomutase-2 are unlinked to other loci. All testable linkages (among eight loci of LGs 1, 2, 3, and 4) are shared with eastern Palearctic water frogs. Including published data, 44 protein loci can be assigned to 10 of the 13 chromosomes in Holarctic Rana. Of testable pairs among 18 protein loci, agreement between Palearctic and Nearctic Rana is complete (125 unlinked, 14 linked pairs among 14 loci of five syntenies), and Holarctic Rana and Xenopus laevis are highly concordant (125 shared nonlinkages, 13 shared linkages, three differences). Several Rana syntenies occur in mammals and fish. Many syntenies apparently have persisted for 60-140 X 10(6) years (frogs), some even for 350-400 X 10(6) years (mammals and teleosts).     

大豆遗传图谱的构建和分析

分子标记连锁图的构建为植物基因组的结构和功能分析提供了有力的工具。较高密度的遗传图谱在数量性状基因定位、图位克隆重要农艺性状基因等研究中发挥了巨大作用。应用栽培大豆长农４和半野生大豆新民６杂交得到的Ｆ８代重组自交系,构建了一张较高密度的遗传图谱。该图谱共有２４０个标记,其中包括２个形态标记、１００个ＲＦＬＰ标记、３３个ＳＳＲ标记、４２个ＡＦＬＰ标记、６２个ＲＡＰＤ标记和１个ＳＣＡＲ标记,分布在２２     

New genetic maps for globe artichoke and wild cardoon and their alignment with an SSR-based consensus map

An F1 mapping population was bred by crossing an accession of wild cardoon with a single Argentinian globe artichoke plant of the variety Estrella del Sur FCA with a view to generating new Cynara cardunculus linkage maps. Genotyping was conducting using a set of 553 SRAP, SSR, AFLP and SNP markers. The 1,465.5 cM map based on the segregation of alleles present in the wild cardoon parent comprised 214 loci distributed across 16 linkage groups (LGs), while the 910.1 cM globe artichoke-based map featured 141 loci falling into 12 LGs covering the total length. Three of the morphological traits (head spininess, leaf spininess and head color) for which the parents contrasted were inherited monogenically, and the genes conditioning them were mapped. A set of 48 co-dominant loci was used to align the LGs with those derived from a reference SSR-based consensus map of the species.     

Characterization of the Soybean Genome Using EST-derived Microsatellite Markers

We generated a high-density genetic linkage map of soybean usingexpressed sequence tag (EST)-derived microsatellite markers.A total of 6920 primer pairs (10.9%) were designed to amplifysimple sequence repeats (SSRs) from 63 676 publicly availablenon-redundant soybean ESTs. The polymorphism of two parent plants,the Japanese cultivar ‘Misuzudaizu’ and the Chineseline ‘Moshidou Gong 503’, were examined using 10%polyacrylamide gel electrophoresis. Primer pairs showing polymorphismwere then used for genotyping 94 recombinant inbred lines (RILs)derived from a cross between the parents. In addition to previouslyreported markers, 680 EST-derived microsatellite markers wereselected and subjected to linkage analysis. As a result, 935marker loci were mapped successfully onto 20 linkage groups,which totaled 2700.3 cM in length; 693 loci were detected usingthe 668 EST-derived microsatellite markers developed in thisstudy, the other 242 loci were detected with 105 RFLP markers,136 genome-derived microsatellite markers, and one phenotypicmarker. We examined allelic variation among 23 soybean cultivars/linesand a wild soybean line using 668 mapped EST-derived microsatellitemarkers (corresponding to 686 marker loci), in order to determinethe transferability of the markers among soybean germplasms.A limited degree of macrosynteny was observed at the segmentallevel between the genomes of soybean and the model legume Lotusjaponicus, which suggests that considerable genome shufflingoccurred after separation of the species and during establishmentof the paleopolyploid soybean genome.     

干扰强度对群落中紫茎泽兰种子萌发、幼苗定居和生长的影响

干扰与外来植物入侵密切相关,种子萌发和幼苗定居是植物生活史中最脆弱、也是外来植物入侵最关键的阶段.为研究干扰在恶性外来入侵植物紫茎泽兰成功入侵过程中的作用,采用人工牧草群落代替自然群落,人为干扰(去除不同面积的牧草)模拟自然干扰的方式,研究了紫茎泽兰入侵初期种子萌发、幼苗定居和生长对不同干扰强度的响应与适应.结果表明:...     

Seed and agronomic QTL in low linolenic acid, lipoxygenase-free soybean (Glycine max (L.) Merrill) germplasm.

Linolenic acid and seed lipoxygenases are associated with off flavours in soybean products. F5 recombinant inbred lines (RILs) from a cross between a low linolenic acid line (RG10) and a seed lipoxygenase-free line (OX948) were genotyped for simple sequence repeats (SSR), random amplified polymorphic DNA (RAPD), sequence-tagged sites (STS), and cleaved amplified polymorphic sequence (CAPS) markers and evaluated for seed and agronomic traits at 3 Ontario locations in 2 years. One hundred twenty markers covering 1247.5 cM were mapped to 18 linkage groups (LGs) in the soybean composite genetic map. Seed lipoxygenases L-1 and L-2 mapped as single major genes to the same location on LG G13-F. L-3 mapped to LG G11-E. This is the first report of a map position for L-3. A major quantitative trait locus (QTL) associated with reduced linolenic acid content was identified on LG G3-B2. QTLs for 12 additional seed and agronomic traits were detected. Linolenic acid content, linoleic acid content, yield, seed mass, protein content, and plant height QTL were present in at least 4 of 6 environments. Three to 8 QTLs per trait were detected that accounted for up to 78% of total variation. Linolenic acid and lipoxygenase loci did not overlap yield QTL, suggesting that it should be possible to develop high-yielding lines resistant to oxidative degradation by marker-assisted selection (MAS).     

A method of calculating phenotypic traits for soybean canopies based on three-dimensional point cloud

Analysis of soybean phenotypes is a core motivation behind soybean breeding. However, amounts of manual measures are required in obtaining canopy phenotypic traits via traditional methods. Moreover, deficiencies such as time consumption, strong subjectivity, and inaccuracy can be also detected in manual measurement. In order to achieve automatic extraction of phenotypic traits in the research of soybean breeding, a method of acquiring soybean phenotypic traits was proposed on the basis of a Kinect sensor with three soybean varieties (incl. KANGXIAN9, KANGXIAN13, and FUDOU6) as research objects, implementing the calculation of plant height (PH), leaf area index (LAI). Firstly, the canopy image information was acquired vertically to extract canopy data with the registration of color images and depth point cloud data. Secondly, a soybean single plant was segmented from the group canopy using the bounding box method; also, the height of the soybean plant was solved using the distance information; meanwhile, the canopy LAI was calculated with extinction coefficients that were optimized by the beer-lambert law. According to experimental results, determination coefficients R² of the calculated value and the measured value of the plant height and the leaf area index of the three soybean varieties are greater than 0.94. It can be seen that calculated results can meet the accuracy requirement of phenotypic traits in soybean breeding.     

Glyphosate affects micro-organisms in rhizospheres of glyphosate-resistant soybeans

Aims: Glyphosate‐resistant (GR) soybean production increases each year because of the efficacy of glyphosate for weed management. A new or ‘second’ generation of GR soybean (GR2) is now commercially available for farmers that is being promoted as higher yielding relative to the previous, ‘first generation’ (GR1) cultivars. Recent reports show that glyphosate affects the biology and ecology of rhizosphere micro‐organisms in GR soybean that affect yield. The objective of this research was to evaluate the microbiological interactions in the rhizospheres of GR2 and GR1 soybean and the performance of the cultivars with different rates of glyphosate applied at different growth stages. Methods and Results: A greenhouse study was conducted using GR1 and GR2 soybean cultivars grown in a silt loam soil. Glyphosate was applied at V2, V4 and V6 growth stages at three rates. Plants harvested at R1 growth stage had high root colonization by Fusarium spp.; reduced rhizosphere fluorescent pseudomonads, Mn‐reducing bacteria, and indoleacetic acid–producing rhizobacteria; and reduced shoot and root biomass. Conclusions: Glyphosate applied to GR soybean, regardless of cultivar, negatively impacts the complex interactions of microbial groups, biochemical activity and root growth that can have subsequent detrimental effects on plant growth and productivity. Significance and Impact of the Study: The information presented here will be crucial in developing strategies to overcome the potential detrimental effects of glyphosate in GR cropping systems.     

Identification of molecular markers linked to quantitative trait loci for soybean resistance to corn earworm

 One hundred and thirty nine restriction fragment length polymorphisms (RFLPs) were used to construct a soybean (Glycine max L. Merr.) genetic linkage map and to identify quantitative trait loci (QTLs) associated with resistance to corn earworm (Helicoverpa zea Boddie) in a population of 103 F₂-derived lines from a cross of ‘Cobb’ (susceptible) and PI229358 (resistant). The genetic linkage map consisted of 128 markers which converged onto 30 linkage groups covering approximately 1325 cM. There were 11 unlinked markers. The F₂-derived lines and the two parents were grown in the field under a plastic mesh cage near Athens, Ga., in 1995. The plants were artificially infested with corn earworm and evaluated for the amount of defoliation. Using interval-mapping analysis for linked markers and single-factor analysis of variance (ANOVA), markers were tested for an association with resistance. One major and two minor QTLs for resistance were identified in this population. The PI229358 allele contributed insect resistance at all three QTLs. The major QTL is linked to the RFLP marker A584 on linkage group (LG) ‘M’ of the USDA/Iowa State University public soybean genetic map. It accounts for 37% of the total variation for resistance in this cross. The minor QTLs are linked to the RFLP markers R249 (LG ‘H’) and Bng047 (LG ‘D1’). These markers explain 16% and 10% of variation, respectively. The heritability (h²) for resistance was estimated as 64% in this population. Received: 15 October 1997 / Accepted: 4 November 1997