Crop Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (18)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Yousef, G. G.
Right arrow Articles by Juvik, J. A.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Yousef, G. G.
Right arrow Articles by Juvik, J. A.
Agricola
Right arrow Articles by Yousef, G. G.
Right arrow Articles by Juvik, J. A.
Related Collections
Right arrow Vegetable Crops
Right arrow Germplasm Enhancement
Right arrow Cell Biology & Molecular Genetics
Right arrow Crop Genetics
Crop Science 42:96-104 (2002)
© 2002 Crop Science Society of America

CROP BREEDING, GENETICS & CYTOLOGY

Enhancement of Seedling Emergence in Sweet Corn by Marker-Assisted Backcrossing of Beneficial QTL

Gad G. Yousef and John A. Juvik*

Dep. of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, 307 ERML, 1201 W. Gregory Dr., Urbana, IL 61801

* Corresponding author (j-juvik{at}uiuc.edu)


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Seedling emergence is an important trait that can limit commercialization of sweet corn hybrids. This study was designed to test what effect beneficial QTL alleles that enhance seedling emergence exert when introgressed, using marker-assisted backcrossing, into sweet corn commercial germplasm. Three RFLP marker alleles linked to QTL that enhanced seedling emergence were identified in an F2:3 sweet corn mapping population. A recombinant inbred line (RIL, F8) derived from this population was used as a donor parent to backcross the marker-QTL alleles into three elite commercial sweet corn inbreds. Plants in the three segregating BC2 populations were crossed to the non-recurrent commercial inbreds to produce three BC2F1 populations with families either segregating or lacking the marker donor allele(s). These three populations were evaluated for seedling emergence under field conditions in two successive years. Across the three populations, BC2F1 families segregating for the donor QTL allele linked to the marker umc139 (on chromosome 2), bnl9.08 (on chromosome 8), or php200689 (on chromosome 1) displayed 40.8, 30.2, and 28.2% increases in seedling emergence, respectively, over the unmodified F1s. The introgressed QTL alleles were observed to enhance seedling emergence in the BC2F1 generation as was observed in the original F2:3 mapping population. Marker-QTL associated effects were reproducible across generations and populations indicating that QTL identified in one population can exert similar effects in different genetic backgrounds. Results suggest that using DNA marker technology can help to identify and introgress beneficial QTL alleles, shortening the time and resources required to develop improved germplasm.

Abbreviations: ANOVA, analysis of variance • MAB, marker-assisted backcrossing • RFLP, restriction fragment length polymorphism • QTL, quantitative trait locus/loci • RIL, recombinant inbred line • sh2, shrunken2, endosperm mutation in maize (Zea mays L.)


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 CONCLUSIONS
 REFERENCES
 
IN THE PAST FIFTEEN YEARS, the sweet corn industry has shown a significant shift away from using traditional cultivars homozygous for the sugary1 (su1) gene to hybrids with the shrunken2 (sh2) mutation. In addition to greater kernel sugar content at fresh harvest, hybrids homozygous for the sh2 mutation retain higher kernel sugar and moisture concentrations for longer post-harvest periods (Garwood et al., 1976). Despite the desirable eating attributes affiliated with sh2, commercial use of this endosperm mutation has been hindered by reduced field emergence and stand uniformity, especially in cold soils (<15°C) (Andrew, 1982; Douglass et al., 1993). Erratic field establishment and heterogeneous ear maturities at harvest negatively impact on commercial production through reduced ear quality and yield.

Many theories have been proposed to explain the physiological basis of poor seedling emergence associated with the sh2 mutation. Douglass et al. (1993) proposed that poor seedling emergence was due to the reduced starch concentration in dry kernels, which results in reduction in the energy reserves required for emergence. Reduced kernel starch content results in greater cracking of kernel pericarp during sh2 seed maturation, which is then responsible for more solute leakage during germination (Tracy and Juvik, 1988). Cell membrane damage associated with high osmotic potential generated by elevated sh2 kernel sugar concentration and the resulting rapid influx of water during imbibition (Simon, 1978) are also implicated as mechanisms reducing seedling survival. Harris and DeMason (1989) found an association between poor emergence and the lowered activities and amounts of the starch hydrolytic enzyme, {alpha}-amylase, in sh2 compared with su1 sweet corn. Finally, Headrick et al. (1990) reported that susceptibility of kernels during maturation to infection by fungal pathogens such as Fusarium moniliforme was associated with reduced seeding emergence.

Apparently a number of kernel physiological properties and interactions among them are associated with reduced sh2 seedling emergence (Juvik et al., 1993). Several reports have shown that seedling emergence is a quantitative trait controlled by multiple QTL (Azanza et al., 1996; Han, 1994). Six marker QTL, located on five different chromosomes of a mapped F2:3 sh2 population explained most of the variation in seedling emergence (R2 = 67%) (Han, 1994). These markers were also observed to be associated with kernel chemical and eating quality characteristics. Identification of QTL, useful for improving emergence of sweet corn hybrids, would be beneficial to sweet corn breeding programs.

Marker-assisted backcrossing (MAB) has been suggested as a breeding strategy to introgress a limited number of QTL into elite germplasm (Dudley, 1993; Stuber, 1994; Bernacchi et al., 1998). This can minimize linkage drag while expediting the transfer of targeted chromosomal segments from exotic germplasm into desired backgrounds (Young and Tanksley, 1989; Tanksley and Nelson, 1996; Hospital and Charcosset, 1997). Empirical and simulation studies provide sufficient evidence that MAB of monogenic traits can reduce time and resources sufficiently to justify its use in cultivar development (Lee, 1995). However, breeders are cautiously optimistic about the advantages of MAB for polygenic traits. There is a consensus that identified QTL should be tested in several different genetic backgrounds and evaluated for associated effects on the characters of agronomic or economic importance prior to applied utilization (Tanksley and Hewitt, 1988; Zehr et al., 1992; Danzmann et al., 1999). The feasibility of using marker-assisted selection in breeding programs is determined by the reproducibility of marker-QTL associations across generations, populations, and environments (Dudley, 1993).

Studies have shown that QTL expression is sensitive to environmental conditions. Variability in consistency of QTL effects across a set of test environments has been reported (Guffy et al., 1989; Stuber et al., 1996; Zehr et al., 1992; Schön et al., 1994, Melchinger et al., 1998). While some reports have shown consistent reproducibility of QTL effects in maize and other crops across generations of inbreeding and environments (Austin and Lee, 1996, 1998; Veldboom and Lee, 1996; Lu et al., 1997), other investigations of QTL effects tested in different genetic backgrounds are equivocal (Toojinda et al., 1998; McKendry et al., 1996; Wang, 1997). Beneficial QTL are commonly assumed to exert a background specific effect due to the interaction among QTL. Tanksley et al. (1996) reported that testing backcrossing generations at BC2F1 and BC3 would provide an estimate of the introgressed QTL effect on enhancement of the desirable character(s) in the breeding program.

In this study, a recombinant inbred line (1657-90 sh2) developed from a previously mapped F2:3 population (Han, 1994) was used as a donor parent for three marker-QTL alleles that enhance seedling emergence in sweet corn. These three marker alleles were introgressed into three elite sh2 sweet corn inbreds utilizing marker-assisted backcrossing. The objectives were: (i) to evaluate the effects of these introgressed QTL on seedling emergence in different sh2 genetic backgrounds, and (ii) test for the reproducibility of marker associated effects observed in the mapping population with BC2F1 lines developed from this population following eight generations of selfing and two generations of backcrossing.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Identification of QTL in the Original Mapping Population
In a previous study, a sh2 mapping population of 117 F2:3 families was developed from a cross between two sweet corn inbreds (Ia453 sh2 x IL451b sh2) known to vary for seedling emergence and eating quality characteristics (Han, 1994). The genetic linkage map of the population contained 61 polymorphic RFLP marker loci distributed throughout the 10 chromosomes of maize genome. The 117 F2:3 families were evaluated for seedling emergence in three replications in Illinois in 1993, where several RFLP marker loci that were significantly associated with seedling emergence using single factor analysis (Han, 1994), were identified. Of these marker loci, php200689, umc139, and bnl9.08 had shown the largest associated effects. One of the above F2:3 families (1657-90, sh2) homozygous for all three marker loci was selfed for 8 generations to produce a recombinant inbred line (RIL, F8) used as the donor parent in this study. RFLP analysis confirmed that this inbred was homozygous for the appropriate marker alleles at each of the three loci.

Validation Tests for the Detected QTL
Validation tests for the detected QTL number, position, and effect are becoming essential requirements to obtain realistic and unbiased estimates of the associated effects with marker loci (Utz et al., 2000). Composite interval mapping (CIM) analysis with the PLABQTL program (Utz and Melchinger, 1995) was used to confirm the map locations and effects of the putative QTL previously identified (Han, 1994) by single factor analysis. The three loci were found to be associated with seedling emergence using CIM as was observed with single factor analysis. In further testing, the original mapping population (117 F2:3 families) was re-evaluated for seedling emergence in three replications in two more environments, Illinois 1994 and Wisconsin 1993. Data from these two environments (as well as data from across the three environments, using family means of three environments) were analyzed with PLABQTL to test for the location, number, and effect of the detected QTL in the original mapping population. Also, the "cross" command of PLABQTL was used to generate 100 randomly selected partial data sets containing 4/5 of the families in the original data set from the Illinois 1993 environment (the mapping data). Composite interval analysis was conducted on these partial data sets to provide a validation of QTL presence and position. A frequency distribution of significant QTL position (on the basis of maximum likelihood scores) was generated from these partial data sets and compared with those chromosomal positions where significant QTL were detected with the complete data set. The percentage of partial data sets where maximum and significant LOD scores fell within the confidence interval of the QTL mapped in the original data and linked to php200689, umc139, and bnl9.08 marker loci, was 62, 88, and 81% of the validation runs, respectively. Validation of the effect and location of these QTL is provided in a separate investigation where marker-assisted selection with these same donor alleles was successful at enhancing seedling emergence (Yousef and Juvik, 2001a).

These marker-QTL alleles differed in regard to their influence on seedling emergence and eating quality of sweet corn. While the allele linked to umc139 improved both emergence and eating quality, the alleles linked to bnl9.08 and php200689 affected emergence only (Han, 1994).

Introgression of Marker QTL into Elite Sweet Corn Inbreds
In a marker-assisted backcrossing program, the RIL (1657-90, F8 sh2) containing the three marker-QTL alleles was used as a donor parent. Nine elite sh2 sweet corn inbreds provided by Illinois Foundation Seed, Inc. (Tuscola, IL) were screened for polymorphisms at the three marker loci. These sh2 inbreds are genetically unique inbreds and used as parents of commercial hybrids. Three of the inbreds with distinct genetic backgrounds (I-1, I-5, and I-6) that displayed polymorphisms at all three marker loci were selected for use as recurrent parents. These inbreds differed in percent seedling emergence, flowering time, plant vigor (growth mm/day), plant height, and eating quality characteristics. They displayed relatively poor seedling emergence and were presumed to lack any of the beneficial alleles associated with the selected markers.

The donor parent was crossed to the three commercial inbreds (I-1, I-5, and I-6) and the resulting F1s were backcrossed to generate three BC1 populations. Seventy-five BC1 plants in each population were backcrossed to the respective recurrent parent to create BC2 families. BC1 plants were then screened for marker loci and one BC2 family in each population generated from crossing BC1 plants heterozygous for all three donor-marker alleles was selected and planted. Due to segregation, each selected BC2 family contained plants with none, one, two, or three of the donor marker-QTL alleles in the heterozygous condition. According to Mendelian theory for unlinked loci, the BC2 progeny should contain eight genotypic classes that occur in equal frequency (0.125%): ADARBDBRCDCR, ADARBDBRCRCR, ADARBRBRCDCR, ADARBRBRCRCR, ARARBDBRCDCR, ARARBDBRCRCR, ARARBRBRCDCR, and ARARBRBRCRCR, where A, B, and C refer to the three marker alleles, and D and R refer to the donor and recurrent parent as the source of allele. Individual plants of the selected BC2 families (75 plants) were screened for marker loci and crossed to the non-recurrent commercial inbreds as testers. This resulted in the development of three BC2F1 populations. The BC2 plants developed from the recurrent parent I-1 [I-1(BC2), ] were crossed to I-6 and I-5 resulting in the two BC2F1 populations [I-6 x I-1(BC2)] and [I-5 x I-1(BC2)], respectively. The BC2 plants developed from the recurrent parent I-6 [I-6(BC2), ] were crossed to I-5 resulting in the third BC2F1 population [I-5 x I-6(BC2)]. Each BC2 plant was crossed to five non-recurrent inbred plants to produce sufficient seed for field evaluation.

At any given marker locus, BC2F1 families in each population consisted of 50% plants heterozygous and 50% plants lacking the donor marker allele. Hereafter, BC2F1 families that contained any of the marker alleles will be designated "segregating for donor allele", while families homozygous for commercial inbred alleles will be designated "lacking donor allele" at any specific marker locus (loci). When considering all three loci simultaneously, genetic expectation would predict that 1/8 of the BC2F1 families in each population are lacking any of the donor marker alleles with 7/8 of the families containing the marker donor allele(s) in all possible combinations in the heterozygous condition.

A total of 50 BC2F1 families with sufficient seed for replicated evaluation were produced; 13 families in each of the [I-6 x I-1(BC2)] and [I-5 x I-1(BC2)] populations and 24 families in the [I-5 x I-6(BC2)] population. It was observed that BC2 plants containing the donor marker alleles were more vigorous, faster growing, and flowered earlier than the commercial inbreds. This unintentionally resulted in a higher frequency of crosses using BC2 plants as male parents that lacked donor marker alleles. Chi-square tests ({chi}2) for the expected versus observed number of BC2F1 families with and without donor alleles were significant at P < 0.01, suggesting that this unintentional parental selection resulted in a higher than expected frequency of BC2F1 families without the donor marker alleles.

The commercial inbreds were also hybridized, in the same direction as described above, to generate three unmodified F1 hybrids for use as controls. I-1 was used as male parent and crossed to I-6 and I-5 as females, while I-6 was used as the male and crossed to I-5 as the female parent. The same crossing directions were used in both modified and the unmodified hybrids. This conforms with the use of these inbreds in the commercial production of hybrid seed.

DNA Analysis and Marker Screening
DNA was isolated from finely ground frozen samples of fresh leaf tissue according to the procedures described by Hoisington (1991) and modified by Mikkilineni (1997). DNA was extracted with 2% CTAB, 1.4 M NaCl, 100 mM Tris HCl (pH 8.0), 20 mM EDTA (pH 8.0), and 0.2% 2-mercaptoethanol. Ten micrograms of DNA were digested with 30 units of EcoRI and subjected to Southern Blotting analysis as described by Hoisington (1991). The three RFLP markers are maintained in plasmid vectors. These clones originated from collections of mapped maize clones developed and provided by the University of Missouri-Columbia (umc), Brookhaven National Laboratory (bnl), and Pioneer Hi-Bred International (php). Genomic cDNA clones were oligolabeled (Feinburg and Vogelstein, 1983) and hybridized to membranes according to Hoisington (1991). Hybridized membranes were wrapped in plastic covers, placed in cassettes, and exposed to X-ray film at -80°C for 2 to 5 d depending on the intensity of P32 labeling and scored. Families were screened for presence/absence of the donor marker allele(s).

To screen BC1 plants for the RFLP markers, a subset of 10 kernels from each BC2 family were sown in the greenhouse for DNA extraction. Bulked BC2 seedling tissue from each family was used to screen BC1 plants. One BC2 family in each population, segregating for all three marker loci, was used for crossing to the commercial inbreds to produce BC2F1 families. BC2 plants used for crossing were screened for the RFLP marker loci using genomic DNA extracted from bulked leaf tissues of 30 seedlings from each of BC2F1 family. The commercial inbreds involved in each specific cross, as well as the donor parent, were included in the RFLP analysis as references.

Experimental and Statistical Analysis
The fifty BC2F1 families, three unmodified F1s, and commercial inbreds (I-1, I-5, I-6, and the donor parent, 1657-90) were evaluated for seedling emergence in two successive years at the University of Illinois' South Farm in Urbana-Champaign. The soil type was Drummer silty clay loam. The average soil temperature at 4-cm depth for the 24-hr period after seeds were planted was 14°C and 23°C in 1998 and 1999, respectively. The experimental design was a randomized complete block (RCBD) with three replications in both years. Using hand planters, 50 kernels per family were individually planted in each replicate at about 4-cm soil depth in 8-m rows on 1 May, 1998 and 25 May, 1999. A total of 300 kernels/family were used in both years. Seedling emergence was determined by counting the emerged seedlings at 4 wk after planting.

Since marker-QTL x environment interaction was not found to be a major source of variation (Table 1), the statistical analysis was performed on combined data from the two environments, 1998 and 1999. Replications were nested within environments. The BC2F1 families were nested within each marker locus class. For statistical analysis, data were analyzed in two ways by the same statistical model described below. The first analysis was designed to compare means of the two marker classes at each marker locus averaged across all families in each population. The second analysis compared the means of the eight possible marker-QTL genotypes.


View this table:
[in this window]
[in a new window]
 
Table 1. Profile of the three selected RFLP marker loci associated with seedling emergence in the original mapping F2:3 sweet corn population in and across three environments, Illinois 1993, Illinois 1994, and Wisconsin 1993.

 
Analysis of variance (ANOVA) was conducted by PROC GLM procedures (SAS, 1991). The statistical model used to analyze data sets was

where y = response from the experimental unit, u = overall mean, E = environment effect, R = replication effect, F = family effect (BC2F1), M = marker-QTL class, and {epsilon} = residual error. Since the number of families within marker classes was not equal, mean comparisons were performed using Lsmeans for marker-QTL genotype classes instead of LSD, which is suitable for balanced designs. The SAS statement, Lsmeans marker/pdiff was used after the model statement, where the analysis output contained paired T-test comparisons between marker classes and probability values used for rejection or acceptance of the null hypothesis which states that class effects or treatments are not different at P < 0.05 (SAS, 1991). The unmodified F1 hybrids and commercial inbreds were not included in any of the statistical analyses, but they are presented in the tables for reference.

Comparing Means of the Two Marker Classes at Each Marker Locus
To investigate marker-QTL associated effects on seedling emergence and in different genetic backgrounds, the two marker-QTL classes in each of the three BC2F1 populations were compared. The first class contained the BC2F1 families segregating for a specific donor allele, and the second had the BC2F1 families lacking the donor allele. In addition, these two marker classes were compared across the three sh2 genetic backgrounds by pooling all the data from all three populations.

To test for the reproducibility of marker-QTL associated effects across generations, the average seedling emergence of marker-QTL classes across all three populations were calculated as the percentage increase over the unmodified F1 hybrids and compared with their associated effects in the original mapping population. The donor allele effects in the original mapping F2:3 population was calculated as the percentage increase in seedling emergence of the heterozygous families over the homozygous families with the unfavorable allele. The associated effect of the donor QTL in the BC2F1 generation was compared with its effect in the original mapping F2:3 population, using 1993 data from Illinois (Han, 1994). This provides an estimate of the reproducibility of the marker-QTL associated effects across generations of selfing and backcrossing.

Since the above analysis was done for each marker locus regardless of the effect of any other loci segregating in the genome, the confounding effects of the other donor alleles in BC2F1 crosses was not taken into account in the analysis. The same condition applies to results from the analysis of the original mapping population where effects of individual QTL would be confounded by random segregation of other genes in the F2 generation.

Comparing the Means of the Eight Possible Marker Genotypes
To investigate the individual and combined effects of the donor QTL, data from the BC2F1 families of each population were sorted into the eight possible marker genotypic classes with either none or segregating for one, two, or all three of the donor marker loci. These classes were compared with each other within and across the three populations. This allowed for comparing families without any of the marker alleles with those that were segregating for one or any combination of the three alleles in each of the three populations. While this analysis removed the confounding effects of the other segregating QTL, experimental rigor was lost because of the limited number of families in each of the BC2F1 populations. The number of individual BC2F1 in each of the genotypic classes in each population was uneven, ranging from 0 to 7. However, when families were pooled across the three populations, all marker loci classes were represented by at least 2 BC2F1 families.


    RESULTS AND DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Sources of Variation
Analysis of variance was conducted to examine the sources of variation associated with seedling emergence when data were analyzed for the two marker classes and for the eight possible marker genotypes in and across the three BC2F1 populations. For illustration, ANOVA of mean separation of the two marker classes in and across the three BC2F1 populations are presented in Table 2. The statistical model described the effects of environment, replication, family, marker-QTL genotype class, and marker-QTL x environment interaction. The model explained from 69 to 80% of the variation in seedling emergence with Coefficients of Variation ranging from 21 to 31%. Across all three populations, differences between environments and marker classes accounted for the greatest portion of the variation in seedling emergence. Soil temperatures have a large impact on seedling emergence of sweet corn, particularly when it is less than 15°C (Douglass et al., 1993). The average soil temperature at 4-cm depth for 24-hr period following planting was 14°C and 23°C in 1998 and 1999, respectively. In the same 24-hr period there was 1.28 cm of rainfall in 1998 and none in 1999. Soil crusting after rainfall and lower temperatures are presumed to be in part responsible for the lower seedling emergence observed in 1998 compared with 1999 (Fig. 1) .


View this table:
[in this window]
[in a new window]
 
Table 2. Mean squares and significance of sources of variation from ANOVA of seedling emergence within and across the three sh2 BC2F1 populations in Illinois in 1998 and 1998.

 


View larger version (18K):
[in this window]
[in a new window]
 
Fig. 1. Mean emergence of the marker-QTL genotypes across the three BC2F1 populations in two environments, Illinois, 1998 and 1999.

 
Variation attributed to marker-QTL alleles showed that there were highly significant effects associated with the beneficial alleles, particularly those linked to the umc139 and bnl9.08 loci. The interaction between marker-QTL genotypes and the environment was significant in a third of the cases indicating that some marker-QTL genotypes performed differently from one year to the next. However, across the three populations, the marker classes containing BC2F1 families segregating for donor alleles and lacking the donor allele performed similarly in 1998 and 1999 and ranked the same in both environments (Fig. 1). This suggests that the effect of the QTL was consistent from one environment (year) to the next.

Effects of the Donor QTL in BC2F1 Hybrids
Comparing Means of the Two Marker Classes at Each Marker Locus
Results indicated that seedling emergence was significantly enhanced in all three BC2F1 populations with the addition of the Ia453 allele linked to the umc139 marker on chromosome 2 (Table 3). The BC2F1 families segregating for the donor allele near the umc139 locus showed significantly improved emergence over the families lacking the donor allele at this locus. The average percentage increase in seedling emergence of families segregating at the umc139 QTL was 54% over the families lacking the donor allele in the three populations. The observed variability in the BC2F1 populations indicated that this QTL allele had a substantial effect on improving seedling emergence in sh2 sweet corn. This agrees with earlier investigations (Wang, 1997), where the Ia453 allele linked to this marker locus was observed to improve emergence over one cycle of pedigree selection in one sweet corn genetic background across two environments. Interval mapping analysis using PLABQTL (Utz and Melchinger, 1995) suggests that the most likely location for this QTL is between umc131 and umc139 on chromosome 2 at a distance of 4 and 9 cM from each of these RFLP loci, respectively. The estimates of QTL location were obtained using the LOD score with support intervals with 1.0 drop off on either side. Support interval of 0–13 cM on chromosome 2 including the umc139 locus was observed with PLABQTL. Mapping distances along chromosomes are reported in units of recombination (centiMorgans, cM) and start at the position of the marker on the short arm most distal to the centromere and increase as one moves toward the most distal marker locus on the long arm of the same chromosome. The percentage partial data sets which identified significant QTL within the 0–13 cM interval was 88% with peak logarithms of odds (LOD) score values concentrated in the region from 0–5 cM (80%).


View this table:
[in this window]
[in a new window]
 
Table 3. The effect of the three beneficial QTL alleles linked to RFLP markers on seedling emergence in three sh2 genetic backgrounds tested in Illinois in 1998 and 1999.

 
The BC2F1 families that contained the Ia453 allele linked to the bnl9.08 marker locus on chromosome 8 had higher emergence than did families lacking the donor allele at this locus (Table 3) in all three populations. The beneficial QTL allele from IL451b linked to the php200689 marker on chromosome 1 was associated with improved emergence in two of the three hybrid combinations (Table 3). The average percentage increase in emergence of the families segregating for the donor marker allele was 22 and 34% over the families lacking the donor allele at bnl9.08 and php200689 loci, respectively. The support interval for php200689 and bnl9.08 marker loci was positioned at 48–89 cM and 57-86 cM on chromosomes 1 and 8, respectively. The percentage of validation runs which placed LOD maxima within the support intervals of the QTL linked to php200689 and bnl9.08 QTL from the original F2:3 data were 62 and 81%, respectively. Segregation at other loci would explain cases where the BC2F1 families lacking donor alleles displayed both higher and lower emergence than the unmodified F1 hybrids (Table 3). Seedling emergence of the commercial inbred I-1 was the highest followed by I-6, with I-5 displaying the lowest value. The highest F1 emergence was observed in the I-1 x I-6 cross, while the lowest emergence was observed with I-6 x I-5 cross. This same trend was observed in the three BC2F1 crosses (Table 3).

Averaged across all three populations, seedling emergence was enhanced by 40.8, 30.2, and 28.2% over the unmodified hybrids with the introgression of the beneficial QTL alleles linked to umc139, bnl9.08, and php200689 marker loci, respectively (Table 4). In the original mapping population, seedling emergence mean of the F2:3 families heterozygous for umc139, bnl9.08, or php200689 QTL alleles was higher by 30.4, 33.3, and 36.4% over families homozygous for unfavorable alleles at these loci, respectively. The percentage increases in seedling emergence in the BC2F1 and the original F2:3 mapping population (Table 4) suggested that marker-QTL associated effects of these loci were reproducible across generations and populations. These results did not take into account the confounding effects of the other QTL segregating in the BC2 generation or F2:3 population. However, the large effects associated with these QTL suggest that introgression of these alleles into the recurrent parent backgrounds can improve seedling emergence even when heterozygous. Currently, near isogenic lines of BC3S1 of the modified inbreds are being developed to evaluate these QTL when homozygous in the three backgrounds.


View this table:
[in this window]
[in a new window]
 
Table 4. The pooled effects of the beneficial QTL alleles across backgrounds on seedling emergence in the BC2F1 generation in Illinois 1998 and 1999 compared with the original F2:3 mapping population.

 
Comparing Means of the Eight Possible Marker Genotypes
Means of seedling emergence of the eight possible marker genotype classes in and across the three BC2F1 populations are presented in Table 5, showing the influence of the individual marker-QTL genotypes segregating for one or more of the donor alleles as well as lines lacking all the donor marker alleles. When the data were sorted and analyzed on the basis of families containing none or any combination of the marker QTL, the confounding effects of the other QTL alleles is eliminated. The eight possible marker genotypes were found in two out of the three populations. In some cases there was no replication of the BC2F1 families within each marker genotypic class. This indicated the potential for sampling error and may partially explain the significant deviations from the expected genotypic frequencies. Therefore, conclusions from this analysis are constrained by the limited number of BC2F1 families in some of the genotypic classes (Table 5). Although some combinations were represented with a limited number of families, these results can be used to suggest the best combination of marker alleles for introgression in subsequent backcrossing generations.


View this table:
[in this window]
[in a new window]
 
Table 5. Seedling emergence of the eight marker genotypes in the BC2F1 families and respective F1 hybrids in the three sh2 populations in Illinois 1998 and 1999.

 
In the I-6 x I-1(BC2) cross, the donor allele from Ia453 linked to umc139 and the combination of this allele with those linked to the bnl9.08 or php200689 markers displayed the highest seedling emergence, which was significantly greater than the BC2F1 families lacking donor alleles. Individual or combined effects of QTL linked to the bnl9.08 marker locus also significantly improved seedling emergence over BC2F1 families lacking the donor allele in this genetic background. The QTL allele linked to php200689 did not significantly enhance emergence, in contrast to what was observed when data were analyzed without considering the confounding effects of other segregating alleles.

The assayed families for seedling emergence were segregating for the marker-QTL, therefore half of the plants in each family was heterozygous for marker QTL and the other half was lacking donor allele(s). If we assume that all plants in the BC2F1 family were heterozygous at a particular donor locus (loci), then the increase over the unmodified F1 would be twice that observed. For example, in the I-6 x I-1(BC2) cross, BC2F1 families segregating for umc139 locus showed a 15.4% increase in seedling emergence over the unmodified F1 (64–48.6%). Thus, if we assume we had all the plants heterozygous for umc139, an increase of seedling emergence of 30.8% is expected over the unmodified F1 hybrid.

Similar results were observed in the I-5 x I-1(BC2) population, although not all of the marker genotypes were recovered in this cross. The BC2F1 families that contained the donor allele linked to php200689 and both alleles linked to umc139 and bnl9.08 displayed significant increases over the BC2F1 families lacking donor alleles. In the third population I-5 x I-6(BC2), seedling emergence was enhanced by the beneficial QTL allele linked to umc139 in all marker combinations. BC2F1 families that were segregating for donor QTL alleles linked to umc139/php200689 showed the greatest enhancement in seedling emergence. In the absence of other donor alleles, the beneficial QTL allele linked to bnl9.08 was not found to exert significant effects in this genetic background, as was observed with php200689 in the first population. This may be the result of interloci interaction between these alleles and other QTL. Since the tested families were in an early generation of backcrossing, large DNA fragments from the donor parent are likely to be present in the segregating population. These fragments could contain other alleles conferring unanticipated effects as proposed by Zeven et al. (1977). With two generations of backcrossing followed by hybridization to the non-recurrent commercial inbreds the percentage of donor genome present in the BC2F1 plants is expected to be 6.25%. This suggests that background could play a minor role as a source of other alleles that could confound the results presented in this study.

When the data were pooled across the three populations (Table 5), seedling emergence was enhanced with the introgression of any single or combination of the donor marker loci compared with families lacking all donor alleles. The magnitude of the effect of these beneficial alleles appeared to be smaller in families displaying relatively improved emergence. BC2F1 families possessing both the beneficial QTL alleles linked to the umc139/php200689 markers had the highest mean emergence followed by umc139 alone and the combination of umc139/bnl9.08/php200689 loci. On the average, families containing all three-donor marker alleles did not perform greater than the combinations of two donor loci. The expected increase in seedling emergence over the unmodified F1 (35.8%) across all three populations, if all plants were heterozygous for umc139, bnl9.8, php200689, um139/bnl9.08, umc139/php200689, bnl9.08/php200689, and umc139/bnl9.08/php200689 would be expected to be 31.4, 8.4, 6.4, 24.2, 52.4, 26.0, and 23.4%, respectively. Mean emergence of the BC2F1 families lacking any of the donor marker alleles was lower than the mean emergence of the three F1 hybrids suggesting the presence of DNA fragments from the donor parent that imposed negative effects, directly or epistatically. In the second analysis, the effects of the marker-QTL backgrounds were eliminated by grouping families on the basis of their genotypes at the marker loci. When the families were classified in this way, the beneficial effect of the QTL linked to bnl9.08 and php200689 on seedling emergence in families with one or the other of these donor alleles was not as dramatic as reported in Table 4.

Understanding the genetic background and QTL expression can help geneticists develop breeding schemes with greater likelihood of success. Variable effects of introgressed QTL in previous studies can be attributed to factors such as large genetic diversity between populations tested (Wang, 1997; McKendry et al., 1996), physiological epistasis among paternally inherited QTL alleles (Danzmann et al., 1999), or an allelic copy of the introgressed QTL may exist in the target population or cultivar (Toojinda et al., 1998; Yousef and Juvik, 2001b). Romagosa et al. (1999) suggested that the economic utility of beneficial QTL includes understanding the physiological and agronomic effects of any QTL and its environmental interactions. Zhu et al. (1999) suggested that for traits such as grain yield, MAS efforts may be better targeted at determining optimum combinations of QTL alleles rather than pyramiding alleles detected in a reference mapping population. In this study, a combination of QTL linked to umc139 and php200689 markers resulted in the highest seedling emergence compared with other combinations including all three of the beneficial marker-QTL alleles together.


    CONCLUSIONS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Seedling emergence of three sh2 sweet corn elite inbreds was enhanced with the introgression of QTL linked to RFLP markers from a donor inbred. This work provides evidence that QTL identified in a mapping population can exert a positive effect on emergence in different genetic backgrounds and across two environments. A recurrent criticism of QTL mapping and marker-QTL assisted selection is that the identified QTL in one population may not exert similar effects when introgressed into other genetic backgrounds. The results generated from this study provide a more optimistic view suggesting that the introgressed beneficial QTL can exert similar effects in other genetic backgrounds and environments. However, understanding the genetic background and QTL expression is a key element in selecting the target germplasm with greater potential expression of the introgressed beneficial alleles. In the absence of tight linkage, marker information accompanied with phenotypic testing is recommended to avoid the loss of favorable QTL resulting from crossover events across the generations in breeding programs.


    ACKNOWLEDGMENTS
 
The authors wish to acknowledge funding from grant numbers US-1709-89 and US-2242-92C of the US-Israel Binational Agricultural Research and Development, Minia University of Egypt and the Egyptian Cultural and Educational Bureau in Washington, D.C. for support to the senior author during his study in the USA, and Illinois Foundation Seed Company Inc., for providing the elite sweet corn inbreds. Special thanks to Dr. T.R. Rocheford for the use of his molecular genetics laboratory for RFLP analysis. This study is a portion of a Ph.D. dissertation by the senior author at the University of Illinois, Urbana-Champaign.

Received for publication August 23, 2000.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 CONCLUSIONS
 REFERENCES
 




This article has been cited by other articles:


Home page
Phil Trans R Soc BHome page
F. Hospital
Selection in backcross programmes
Phil Trans R Soc B, July 29, 2005; 360(1459): 1503 - 1511.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (18)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Yousef, G. G.
Right arrow Articles by Juvik, J. A.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Yousef, G. G.
Right arrow Articles by Juvik, J. A.
Agricola
Right arrow Articles by Yousef, G. G.
Right arrow Articles by Juvik, J. A.
Related Collections
Right arrow Vegetable Crops
Right arrow Germplasm Enhancement
Right arrow Cell Biology & Molecular Genetics
Right arrow Crop Genetics


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome