|
|
||||||||
a Department of Horticulture, The Pennsylvania State University, University Park, PA 16802, USA
b International Center for Tropical Agriculture (CIAT), A.A. 6713, Cali, Colombia
* Corresponding author (Fax: +1 814 863 6139. E-mail: JPL4{at}psu.edu)
| ABSTRACT |
|---|
|
|
|---|
Abbreviations: QTL, quantitative trait locus (loci) RIL(s), recombinant inbred line(s) PCR, polymerase chain reaction SSR, simple sequence repeat RAPD, random amplified polymorphic DNA SCAR, sequence characterized amplified region STS, sequence tagged site PAGE, polyacrylamide gel electrophoresis CTAB, cetyl trimethyl ammonium bromide LOD, logarithm of odd CIM, composite interval mapping MIM, multiple interval mapping cM, centimorgan GxE, genotype by environment interaction DAS, days after sowing SRL, specific root length
| INTRODUCTION |
|---|
|
|
|---|
Plants display a variety of adaptations to low phosphorus availability, including changes in root morphology and architecture (Bonser et al., 1996; Fan et al., 2003; Lynch and Brown, 2001, 2005; Miller et al., 2003; Nielsen et al., 1998), increased production and secretion of root exudates (Jones, 1998; Yan et al., 1996), increased proliferation and elongation of root hairs (Bates and Lynch, 1996; Ma et al., 2001a), modification of carbon metabolism and alternative respiratory pathways (Rychter and Mikulska, 1990; Wanke et al., 1998), and enhanced expression of Pi transporters (Ragothama, 2005). Selection for specific traits that improve phosphorus acquisition is preferable to yield trials where G x E interaction and a multiplicity of factors affecting yield have complicated the identification and selection for phosphorus efficiency in the past (Lynch and Beebe, 1995). Marker assisted selection would be an option to select for root traits that are difficult to evaluate phenotypically.
Phosphorus is relatively immobile in soil and its availability is typically greater in topsoil and declines substantially with depth (Lynch and Brown, 2001). Root architectural traits that enhance topsoil foraging such as shallower basal root growth angle (Bonser et al., 1996) or adventitious rooting (Lynch and Brown, 2001; Miller et al., 2003) may therefore enhance phosphorus acquisition in low phosphorus environments. In addition to exploring the topsoil, adventitious roots have lower metabolic cost than other root types (Miller et al., 2003), which is important since root costs are an important component of plant adaptation to low phosphorus environments (Lynch and Ho, 2005; Miller et al., 2003).
Genotypic variation in adventitious root formation has been observed in several crops including common bean (Miller et al., 2003), soybean [Glycine max (L.) Merr.: Bacanamwo and Purcell, 1999], Rumex ssp. (Visser et al., 1996), tomato (Lycopersicon esculentum L.: McNamara and Mitchell, 1990), and maize (Zea mays L.: Mano et al., 2005). In common bean phosphorus availability regulates adventitious rooting (Miller et al., 2003); however, there is a lack of information regarding the genetic basis for adventitious rooting and related traits.
In this study, we analyze QTL controlling variation for adventitious root traits in a RIL population developed from a cross between G2333 x G19839 and estimate the extent of phenotypic variation and heritability for adventitious root traits evaluated in field and greenhouse environments under contrasting phosphorus availability. This information should be important for the genetic enhancement of phosphorus efficient bean breeding lines.
| MATERIALS AND METHODS |
|---|
|
|
|---|
Field Experiment
The field trial was conducted at the CIAT research farm in Darien, Colombia (03°56' N; 076°28' W, elevation 1537 masl), during the rainy season from September to December 2001 with average yearly temperature of 20°C and annual rainfall 1288 mm (307 mm during the experiment). The soil at the field site is an Udand with native soil phosphorus of 2 ppm [determined by Bray II extraction (Olsen and Sommers (1982)], pH 5.6 (soil:water 1:2), and 10.6% organic matter (dicromate-sulfuric acid oxidation). Several years of fertility management to generate high- and low-phosphorus plots in this location resulted in plots having markedly different phosphorus availability with an average phosphorus concentration of 64.3 ppm and 1.7 ppm for high- and low-phosphorus plots, respectively. Before planting, the high-phosphorus plot received 45 kg ha1 phosphorus and the low-phosphorus plot received 7.5 kg ha1 phosphorus as triple super phosphate. To prevent zinc and boron deficiency typical of these soils, 600 g ha1 of ZnSO4 and 600 g ha1 of borax [Na2B4O2(H2O)10] were applied as a foliar feed every week after emergence for three consecutive weeks. Soil Nitrogen (molecular spectrometry after Sulfuric-salicylic digestion), Mg and Mn (atomic absorption spectrometry), and B (molecular spectrometry after hot water extraction) (Westerman, 1990) were checked after harvest and determined to be adequate. Phosphorus-free fungicides and pesticides were applied several times as needed. Seeds were sown at a depth of 7 to 8 cm and at 15 d after emergence plants were manually hilled with soil to slightly below the cotyledons.
Parental lines and their 84 RILs were manually sown in a randomized complete block design (RCBD) with a split plot arrangement of treatments where phosphorus levels were the main plots and RILs were the subplots. The experiment consisted of three replications over time to allow for efficient sampling of adventitious roots. Each experimental unit was a single 1-m-row plot sown with 15 seeds. One meter spacing between rows was used to accommodate both climbing and semi-climbing RILs. Total plant density was approximately 150 000 plants ha1. Controls of both parents were sown every fifth row as a single row as a covariate, if needed, for statistical analysis. Root systems were collected for two plants per row at 42 d after sowing (DAS), corresponding to the early flowering growth stage R6 (Singh, 1982) by carefully excavating the plants to reveal as many adventitious and basal roots as possible, and counting the number of adventitious roots emerging from the hypocotyls. Subsamples of both adventitious and basal roots were preserved in 25% ethanol and kept at 4°C until analyzed for root length. Shoots and remaining adventitious roots were oven dried at 60°C for 2 to 3 d for dry weight determination.
Adventitious and basal root subsamples were stained with 0.1 g L1 neutral red dye (Sigma Chemical Co., St. Louis MO) for 24 h and mounted on a clear acrylic tray in shallow water for scanning and quantification of root length as well as other root parameters. A flatbed scanner (HP STD1600+, Hewlett-Packard) was used with a special lighting system (dual scan) to eliminate shadows. Scanned images were analyzed with WinRhizo Pro (Régent Instruments, Québec, Canada), adjusted as described by Bouma et al. (2000). Once root length was obtained, specific root length (SRL) was calculated as length per unit of root dry weight (meters per gram). SRL for adventitious root samples was used to estimate total adventitious root length. Prior experience in our lab has indicated that a representative subsample gives accurate estimates of whole or specific root type characteristics (Lynch and van Beem, 1993).
Greenhouse Experiment
The experiments were conducted in a temperature controlled greenhouse located at Pennsylvania State University, University Park, PA USA (40° 85' N, 77° 82' W), during June to November 2000 and April to July 2001. The max/min temperatures were 28°C/22°C, photosynthetically active radiation (PAR) averaged 800 to 1000 µmol photons m2 s1, and the average humidity was 60%. Natural light was supplemented from 0800 to 2000 h with 110 µmol photons m2 s1 from 400W metal halide bulbs (Energy Technics, York, PA, USA). Seeds were surface-sterilized for 1 to 2 min in 10% (v/v) NaOCl, thoroughly rinsed with deionized water, mechanically scarified, and germinated in rolls of brown germination paper (Anchor Paper Co., St. Paul, MN, USA) placed upright in a 500 mL beakers containing 200 mL of half strength nutrient solution containing high or low phosphorus (see composition below). Seeds were allowed to germinate in darkness at 28°C for 4 to 5 d. After 1 d of acclimatization to daylight, 6-d-old uniform seedlings were transplanted to plastic tanks (12 seedlings per container) filled with 30 L of aerated nutrient solution consisting of (in µM): KNO3 (1500), Ca(NO3)2.H2O (1200), NH4NO3 (400), MgCl2.6H2O (25), Fe-Na-EDTA (5), MgSO4.7H2O (500), K2SO4 (300), (NH4)2SO4 (300), MnSO4.H2O (1.5), ZnSO4.7H2O (1.5), CuSO4.5H2O (0.5), (NH4)6Mo7O24.4H2O (0.15), and Na2B4O7.10H2O (0.5). Phosphorus treatments were established by adding 1.5% (w:v) solid-phase-buffered (alumina) phosphorus (Lynch et al., 1990) with two different desorption concentrations in the nutrient solution: 0.51 µM phosphorus (low phosphorus) and 100 µM phosphorus (high phosphorus). In addition to the phosphorus desorbed from the alumina buffer, 1.0 µM and 500 µM of KH2PO4 solution for high- and low-phosphorus treatments, respectively, were added to the nutrient solution. In the low-phosphorus nutrient solution, KH2PO4 was replaced with 250 µM of K2SO4 to adjust for the difference in potassium between high- and low-phosphorus treatments. The pH of the nutrient solution was adjusted every other day to 5.8 with KOH, and the nutrient solutions were replaced 7 d after transplanting. Seedlings were placed with the hypocotyls submerged approximately 7 cm into the nutrient solution to assure the maximum genotypic expression of adventitious rooting in all RILs, and their cotyledons removed 1 d after transplanting. The experimental design was a randomized complete block design, as in the field trial, but there were a total of five replicates staggered over time. Plants were harvested 14 d after germination. Shoots were dried at 60°C for 2 to 3 d for dry weight determination. Roots were separated into adventitious, basal, and taproots. A subsample of each type was preserved in 25% ethanol, kept at 4°C, until analysis for root length. Remaining tissue was dried at 60°C for 2 to 3 d for biomass determination. Root length, dry weight, and specific root length were determined as described for the field experiment. In addition, adventitious root primordia were evaluated for the parents.
DNA Isolation and Marker Analysis
Etiolated leaf tissue of three to five seedlings was collected for each RIL and the total genomic DNA was isolated following the CTAB miniprep method as described by Afanador and Haley (1993). DNA concentrations were measured by a Hoefer fluorometer (Dynaquant 200, Hoefer Scientific Instruments, San Francisco, CA, USA) and they were diluted to 10 ng µL1 for further use in PCR reactions. Molecular markers used in the study included a total of 106 simple sequence repeat (SSR) or microsatellites (Blair et al., 2003; Gaitan-Solis et al., 2002; Yu et al., 2000); 34 random amplified polymorphic DNA (RAPD) primers (Operon Technologies Inc., Alameda, CA) 15 common bean disease resistance sequence characterized amplified region (SCAR) markers
(http://www.ars.usda.gov/SP2UserFiles/person/3848/pdf/ScarTable3.pdf/)
; and 3 sequence tagged site markers (STS) linked to seed coat color (McClean et al., 2002). In addition, the phaseolin marker was evaluated using a total extract of seed proteins (Singh et al., 1991b) and flower color was evaluated as a morphological marker. RAPD markers were named according to the primer used and the molecular weight of the band as a fraction of thousand kb. PCR amplifications for the SSR markers were done in a PTC-200 thermocycler (MJ Research Inc., Watertown, MA) in a reaction mix volume of 12 µL containing 20 ng of bean genomic DNA, 0.1 µM of each of forward and reverse primers, 125 µM of each dNTP, 1 unit of Taq polymerase, and 10x PCR buffer. PCR amplification, PAGE electrophoresis, and silver staining detection conditions were as described in Blair et al. (2003). PCR products for the RILs were multiplexed with two to four loads per polyacrylamide gel.
The PCR amplifications for the RAPD, SCAR, and STS markers were conducted in a PTC-100 thermocycler (MJ Research Inc., Watertown, MA). The PCR reaction mix volume was 25 µL containing 10 ng of bean genomic DNA, 0.8 µM of primer, 200 µM of each dNTP, 1 unit of Taq polymerase, and 10X PCR buffer with 10 mM of Tris-HCl (pH 7.2), 50 mM of KCl, and 2.5 mM of MgCl2. Marker amplifications were standardized to 38 cycles at 91°C for 15 s; 42°C annealing for 15 s.; and 72°C extension for 1 min. The last cycle was followed by 5 min. extension at 72°C. A total of 5 µL of PCR products were loaded onto 1.5% (w/v) agarose gels with ethidium bromide and run in horizontal electrophoresis chamber (Horizon 2025 BRL Life Technologies Inc., Gaithersburg, MD, USA) at 240 W for 30 min in which 150 mL of TBE 0.5x buffer was added. PCR amplification products were visualized under UV light and photographed with a Polaroid GelCam DS-34 camera (Waltham, MA, USA).
Phenotypic Data Analyses
For both field and greenhouse experiments, statistical differences for main effects [phosphorus-treatment (main plot) and RILs (sub-plot)], and first-order interaction were ascertained with the generalized linear model (GLM) procedure in SAS, version 8.02 (SAS, 1985). Before analysis of variance (ANOVA) all variables were tested for normality among RILs using the UNIVARIATE procedure in SAS. Estimates of narrow-sense heritability (hns2) for the RIL population were determined from variance components and the number of self crossing generations (Hallauer and Miranda Filho, 1988) using expected mean squares as follows:
![]() |
A2 =
G2/(15/8);
G2 = genotypic variance ([MSRILs MSError]/k); and k = number of replications. The standard errors for the narrow-sense heritability (hns2) values were calculated (After Knapp et al., 1985) as follows:
![]() |
Frequency distribution charts were made for all adventitious root traits with the number of classes derived from the formula K = 1 + 3.3 x Log X, where X is the number of observations and the class intervals were obtained by dividing the K value by the range of the variable. Pearson's correlations were calculated among phenotypic variables for all combinations of traits in each phosphorus treatment and across phosphorus treatments for each root trait. Additionally, to characterize the size-dependent variations between root and shoot biomass at harvest, root-shoot allometric coefficients (K) were determined from a series of paired measurements of root and shoot dry weight (DW) by linear regression of the form:
![]() |
Genotypic Data Analyses
Linkage analysis was conducted using the software MAPMAKER/EXP 3.0 for Windows (Lander et al., 1987) set to the Kosambi mapping function. To create a framework map, a subset of markers with a LOD of 6.0 and a maximum distance of 20 cM were identified and then used for the placement of additional markers based on the most-likely interval using the try command. The best marker order of the linkage groups was determined using a minimum LOD of 4.0 with the compare and ripple commands. Linkage groups were named according to the core reference map (Freyre et al., 1998) based on microsatellite map locations in Blair et al. (2003).
QTL analysis was conducted with the resulting genetic map and the phenotypic means for each RIL using the computer software program QTL Cartographer version 2.0 for Windows (Basten et al., 2003). QTL for given adventitious root traits and their combined effects were identified with both Composite Interval Mapping (CIM) and Multiple Interval Mapping (MIM) features. Parameters for CIM and MIM analysis included a forward/backward regression with a window size of 10 cM, a walk speed of 1 cM and probability thresholds of 0.05 each for the partial F-test for both marker inclusion and exclusion. The empirical thresholds for QTL detection with the CIM method were estimated using 1000 permutation tests as suggested by Churchill and Doerge (1994). Additivity estimates for each adventitious root trait were computed by the QTL Cartographer program at the peak of the LOD profile.
| RESULTS |
|---|
|
|
|---|
|
|
|
Phenotypic correlations among traits and across phosphorus treatments or environments are presented in Table 2. The correlations between phosphorus treatments, presented across the diagonal, were positive and highly significant for all traits except for shoot biomass and adventitious SRL in the field. Few correlations between field and greenhouse environments were significant (data not shown), and these were primarily observed across phosphorus treatment, namely for number of adventitious root (0.38, P < 0.001), shoot dry weight (0.23, P = 0.05), and under low-phosphorus conditions for adventitious rooting vs. adventitious biomass (0.23, P = 0.05). All other correlations between field and greenhouse conditions were not significant. The highest correlation within environments was observed between adventitious length and adventitious biomass in both field and greenhouse high-phosphorus treatments and in the greenhouse low-phosphorus treatment (0.84, 0.96, and 0.97 respectively). Yield per plant under low-phosphorus availability in the field was not correlated with adventitious root traits measured in the field or greenhouse (data not shown).
|
|
A total of 149 of the 167 polymorphic markers evaluated in the entire mapping population could be assigned to the genetic map, which consisted of 11 linkage groups and a total cumulative length of 1175 cM. Average linkage group length was 106.81 cM with an average of 13.5 markers per linkage group. Linkage groups were correlated with the genetic maps of Freyre et al. (1998) and Blair et al. (2003) by the mapping of syntenic markers. The least saturated linkage group (B1) had eight markers while the most saturated (B4) had 20. Only one microsatellite (BMd32) and 17 RAPD marker loci still remained unlinked from the final genetic map. The average distance between marker loci on all linkage groups was 7.89 cM, however their distribution was not uniform with some gaps remaining, particularly on linkage groups B1, B2, B3, B7, and B11. Several clusters of microsatellite markers were observed in various linkage groups but particularly on linkage groups B4, B7, and B10 and a lower coverage of marker loci was observed at the distal portion of linkage group B7 and at the top of linkage group B10. The biochemical marker phaseolin (Phs) was mapped to the upper half of linkage group B7 which coincides with the location reported in other common bean maps (Adam-Blondon et al., 1994; Blair et al., 2003; Freyre et al., 1998; Nodari et al., 1993b; Vallejos and Chase, 1991; Vallejos et al., 1992). The morphological marker flower color (V) was mapped to linkage group B6 also in agreement with previous studies (McClean et al., 2002; Nodari et al., 1993a).
Quantitative Trait Loci Analysis
A total of 20 QTL were identified for adventitious root-related traits (Table 3; Fig. 4
) by means of composite interval mapping (CIM) and multiple interval mapping (MIM) analyses performed for each environment (field and greenhouse) and for each phosphorus treatment level (high- and low-phosphorus). Significant QTL were detected in linkage groups B2, B4, B6, B7, B8, B9, B10, and B11, and the phenotypic variation explained by the individual QTL for adventitious root traits ranged from 11 to 36%. Among the QTL, 15 were observed under high-phosphorus conditions (10 in the field and 5 in the greenhouse), while five were detected under low-phosphorus conditions (3 in the field and 2 in the greenhouse).
|
|
For specific root length (SRL) measured on adventitious roots grown under high-phosphorus conditions, QTL were identified for the field experiment on linkage groups B2 and B7 and for the greenhouse experiment on linkage groups B6, B7, and B10. These QTL accounted for 19% to 39% of the total variation for the traits. For adventitious SRL under low-phosphorus conditions in the field, only one QTL was detected in linkage group B2 and this explained 25% of the observed variation. Finally, two QTL on linkage groups B4 and B8 were identified for SRL under greenhouse conditions, and together accounted for 31% of the variation observed. The biochemical marker phaseolin (Phs) on linkage group B7 was significantly associated with a QTL for SRL of adventitious roots under high-phosphorus conditions and this QTL explained 18% of the variation for this trait.
The positive alleles for all QTL detected on linkage groups B4, B8, B9, B10, and B11 were inherited from the maternal line G2333, while the positive alleles for the QTL located in linkage group B2 were inherited from the paternal line G19839, with the exception of the QTL for SRL of adventitious roots in the field under high-phosphorus conditions. The QTL for adventitious rooting under high- and low-phosphorus conditions detected on linkage group B9 near markers P070.45 and M130.34 had positive alleles that were inherited from G2333, while the other QTL identified on linkage groups B6 and B7 had positive alleles inherited from both parents.
| DISCUSSION |
|---|
|
|
|---|
One possible explanation for the differences between the field and greenhouse results is that the nutrient solution experiments in the greenhouse were harvested at 2 wk after germination, while the field experiment was harvested 6 wk after planting. At this later stage G19839 had an equivalent number of adventitious roots, perhaps based on the preformed or induced adventitious root primordia which were present at the earlier stage but had not grown into adventitious roots in this line compared to G2333 (Fig. 2). This is consistent with the observation that the parents had the same number of meristems (counting extended root and adventitious root primordia) at 12 d in nutrient solution, but that G19839 had fewer extended adventitious roots than G2333. The field environment may also have presented other environmental variables and stresses that could have reduced the phenotypic difference between the parents. Lack of correlation between adventitious root traits and yield per plant under low phosphorus in the field could have been caused by the uncertainty associated with yield estimates from small plots in a single location and season. This lack of correlation is indirect support for our finding that adventitious rooting is not controlled by simple allometry with plant size.
Narrow-sense heritability values for almost all adventitious root traits evaluated were observed to be medium-low to medium, reflecting polygenic control of the traits evaluated. However, it is interesting that almost all heritability values were higher in low-phosphorus than in high-phosphorus conditions in both field and greenhouse environments, and also slightly higher than for other root traits in common bean (Yan et al., 2004) or maize (Zhu et al., 2005a), suggesting that selection under low phosphorus would be more effective than selection under high phosphorus, and that adventitious root traits would be useful targets for bean breeding programs interested in improving phosphorus acquisition.
We observed few significant correlations between field and greenhouse experiments for adventitious root traits. However, the significant correlation across phosphorus treatments within field or greenhouse experiments (diagonal in Table 3) and between the number of adventitious roots in the field and greenhouse under low phosphorus (r = 0.38 at p
0.001), independent of plant age (6-wk-old vs. 2-weeks-old), might indicate that greenhouse studies would be appropriate for screening a large number of accessions, or segregating populations for adventitious rooting. Unlike greenhouse conditions where almost all adventitious root traits had statistically significant correlations between high- and low-phosphorus treatments, amongst each other and between adventitious root traits and shoot biomass, under field conditions few significant correlations among adventitious root traits or between adventitious root traits and shoot biomass were identified. The lack of correlation between adventitious root traits and shoot biomass in the field probably reflects the significant effect of other uncontrolled environmental factors in the expression of the traits under evaluation that are less prone to occur in more controlled environments. The allometric coefficient for basal plus taproot and shoot biomass was significant and not altered by phosphorus concentration. This suggests that taproots and basal roots maintain their proportionality to the shoot at low-phosphorus availability and that little genotypic variation should be expected under low-phosphorus conditions for these root classes. In contrast, the weak allometric relationship between adventitious root biomass and shoot biomass under low-phosphorus conditions indicated that allocation to adventitious roots varied substantially among RILs. If adventitious roots in the topsoil are advantageous for acquiring phosphorus under limited phosphorus availability, as suggested by Lynch and Brown (2001), this weak allometric relationship would facilitate the selection of efficient lines with high adventitious rooting in the field.
In addition to the trait analysis described above, we developed a new, primarily SSR-based linkage map for the G2333 x G19839 population for this study which builds on previous molecular linkage maps based on RFLP, RAPD, and/or AFLP markers (Freyre et al., 1998; Nodari et al., 1993a; Vallejos et al., 1992). Along with the DOR364 x G19833 map developed by Blair et al. (2003), our linkage map represents one of the most dense microsatellite-based molecular marker maps to date in common bean, containing a total of 79 microsatellites loci integrated with 70 additional RAPD, SCAR, and STS loci as well as the genes Phs and V. Distribution of the microsatellite markers was generally random, however certain linkage groups (e.g., B4) were more heavily populated with this class of markers than others (e.g., B10). In addition, clustering of microsatellite loci occurred on linkage groups B3, B4, B7, and B10, results that agree with those of Blair et al. (2003). In general, alignment of this new map with other SSR-based maps will provide the opportunity for increasing marker density in selected genomic regions and comparative mapping of QTL observed in this study with other QTL related to phosphorus acquisition efficiency observed previously by our group (Liao et al., 2004; Yan et al., 2004). In this regard, we were able to detect 20 new QTL for root characteristics related to low-phosphorus adaptation specifically for adventitious rooting and other adventitious root-related traits under high- and low-phosphorus conditions in the field and greenhouse. They were located mainly in linkage groups B2 and B9 but also in linkage groups B4, B6, B8, B10, and B11. QTL associated with root morphology and related abiotic stress tolerances have been identified in several important agriculture crops including rice (Kamoshita et al., 2002; ZiChao et al., 2005), maize (Mano et al., 2005; Tuberosa et al., 2002; Zhu et al., 2005a, 2005b), and soybean (HongLin et al., 2004).
In the present study, we identified almost no overlap in the location of QTL detected for adventitious root traits between field and greenhouse conditions, with the exception of two QTL for SRL of adventitious roots under high-phosphorus conditions for each growth environment that were relatively close to each other on the top of linkage group B7. However, within growth environments, and particularly under field conditions, we identified coincidences in the location and direction of the genetic effects of QTL for the number, biomass, and length of adventitious roots in each phosphorus treatment as well as for the number of adventitious roots between high- and low-phosphorus environments on linkage groups B2 and B9, which could explain the high and significant correlations observed between these traits. Due to the co-location and matching sign of the corresponding additive effects, significant correlation between adventitious root traits could be attributed either to allometric associations or pleiotropic effects rather than tightly linked genes. Differences in QTL observed across the two environments might have differed due to differences in the age of the plants sampled or in the contrasting spatial distribution of phosphorus in soil vs. nutrient solution.
The combination of QTL identified for each root trait explained from 19 to 58% of the total phenotypic variation for the traits under high phosphorus in the field. Significantly, the combination of two QTL for number of adventitious roots under low phosphorus in the field on linkage group B9 explained 61% of total phenotypic variation, while one QTL for this trait explained alone as much as 36% of observed phenotypic variation and had the highest LOD value of all the QTL detected (6.63). This highly significant major QTL might be used along with some other major QTL reported for other root traits in common bean, such as total root hair length for tap root (Yan et al., 2004) and proportion of shallow basal root length and phosphorus uptake already detected in linkage group B9, as targets for a marker-assisted selection program to incorporate multiple mechanisms of phosphorus acquisition efficiency in common bean. This QTL should be confirmed in at least two more environments and/or other mapping populations to be used further. While the positive alleles for most of the QTL were derived from the maternal parent G2333, the paternal line G19839 also contributed some beneficial alleles for the adventitious root traits, particularly for those QTL identified in linkage group B2. In common bean and maize, Liao et al. (2004), Yan et al. (2004), and Zhu et al. (2005a, 2005b) have also reported both parents contributing to the phenotypic expression of the root traits evaluated.
Giving the potential utility of adventitious rooting in low-phosphorus (Lynch and Brown, 2001; Miller et al., 2003) or hypoxic (Bacanamwo and Purcell, 1999; Mano et al., 2005; Visser et al., 1996) environments, the identification of QTL linked with adventitious rooting has implications for plant breeding. Since phenotypic selection for adventitious root traits is laborious, the use of markers linked to reliable QTL for specific adventitious root traits would be useful. In addition, adventitious root QTL could be combined with QTL for other traits such as acid exudation, root hair density, and basal root gravitropism which have been previously identified to be important for phosphorus acquisition efficiency for common bean (Liao et al., 2004; Yan et al., 2004). In other crops, similar molecular approaches have been used to dissect multiple root traits such as root hair, lateral root branching, and adventitious root formation in maize (Mano et al., 2005; Tuberosa et al., 2002; Zhu et al., 2005a, 2005b), or root depth and morphology in rice (Kamoshita et al., 2002; Price et al., 2002) and some breeding efforts for root traits are underway. Combining QTL for multiple root traits is desirable considering substantial synergism among root traits for phosphorus acquisition (Ma et al., 2001b), as well as root tradeoffs between water and phosphorus acquisition (Ho et al., 2005).
| ACKNOWLEDGMENTS |
|---|
Received for publication December 1, 2005.
| REFERENCES |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
N. C. Collins, F. Tardieu, and R. Tuberosa Quantitative Trait Loci and Crop Performance under Abiotic Stress: Where Do We Stand? Plant Physiology, June 1, 2008; 147(2): 469 - 486. [Full Text] [PDF] |
||||
![]() |
A. Fita, B. Pico, A. J. Monforte, and F. Nuez Genetics of Root System Architecture Using Near-isogenic Lines of Melon J. Amer. Soc. Hort. Sci., May 1, 2008; 133(3): 448 - 458. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. J. Maxwell, M. A. Brick, P. F. Byrne, H. F. Schwartz, X. Shan, J. B. Ogg, and R. A. Hensen Quantitative Trait Loci Linked to White Mold Resistance in Common Bean Crop Sci., November 7, 2007; 47(6): 2285 - 2294. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Tesfaye, J. Liu, D. L. Allan, and C. P. Vance Genomic and Genetic Control of Phosphate Stress in Legumes Plant Physiology, June 1, 2007; 144(2): 594 - 603. [Full Text] [PDF] |
||||
| ||||||||||||||||||