- Research article
- Open Access
Mapping of angular leaf spot resistance QTL in common bean (Phaseolus vulgaris L.) under different environments
BMC Genetics volume 13, Article number: 50 (2012)
Common bean (Phaseolus vulgaris L.) is the most important grain legume for human diet worldwide and the angular leaf spot (ALS) is one of the most devastating diseases of this crop, leading to yield losses as high as 80%. In an attempt to breed resistant cultivars, it is important to first understand the inheritance mode of resistance and to develop tools that could be used in assisted breeding. Therefore, the aim of this study was to identify quantitative trait loci (QTL) controlling resistance to ALS under natural infection conditions in the field and under inoculated conditions in the greenhouse.
QTL analyses were made using phenotypic data from 346 recombinant inbreed lines from the IAC-UNA x CAL 143 cross, gathered in three experiments, two of which were conducted in the field in different seasons and one in the greenhouse. Joint composite interval mapping analysis of QTL x environment interaction was performed. In all, seven QTLs were mapped on five linkage groups. Most of them, with the exception of two, were significant in all experiments. Among these, ALS10.1DG,UC presented major effects (R2 between 16% - 22%). This QTL was found linked to the GATS11b marker of linkage group B10, which was consistently amplified across a set of common bean lines and was associated with the resistance. Four new QTLs were identified. Between them the ALS5.2 showed an important effect (9.4%) under inoculated conditions in the greenhouse. ALS4.2 was another major QTL, under natural infection in the field, explaining 10.8% of the variability for resistance reaction. The other QTLs showed minor effects on resistance.
The results indicated a quantitative inheritance pattern of ALS resistance in the common bean line CAL 143. QTL x environment interactions were observed. Moreover, the major QTL identified on linkage group B10 could be important for bean breeding, as it was stable in all the environments. Thereby, the GATS11b marker is a potential tool for marker assisted selection for ALS resistance.
The common bean (Phaseolus vulgaris L.) is an important source for human diet of protein, complex carbohydrates, fiber, isoflavones  and minerals such as iron and phosphorus . This crop is cultivated in various countries around the world, among which Brazil stands out as the largest producer , with over 3,000 t produced in 2010 .
Several factors affect bean yield, among which the incidence of diseases is the biggest one. One of the diseases with the greatest impact is the angular leaf spot (ALS) [5, 6]. The disease is caused by the fungus Pseudocercospora griseola (Sacc.) Crous & Braun (sin. Phaeoisariopsis griseola (Sacc.) Ferraris) , which causes necrotic lesions on the aerial parts of the plant, reducing the productivity and quality of the bean seed. Infection occurs due to conidia that penetrate through both the leaf epidermis and stomata, about three to seven days after inoculation . It is a biotrophic fungus in the early stages of infection, which then becomes necrotrophic, when the attack causes the characteristic symptoms of the disease, which are angular necrotic spots limited by the leaf veins .
P. griseola presents great genetic variability and several physiological races [10–13] that can be grouped into two gene pools: Mesoamerican and Andean . P. griseola isolates from the first group have a higher genetic variability  and infect both Andean and Mesoamerican bean cultivars, while isolates from the latter group infect bean plants only from the same origin .
Several sources of resistance to ALS have been identified [11, 15, 16] and among them, CAL 143 stands out due to having a high level of resistance against a large number of P. griseola races, whether in the field or the greenhouse . This line is also resistant to rust, powdery mildew, alternaria leaf spot and anthracnose  and tolerant to variations of pH and low levels of phosphorus and nitrogen .
As the best form of disease control includes using resistant cultivars, the genetic characterization of resistance sources is very important for the genetic improvement of the crop. In the case of ALS, two dominant resistance genes have been described so far. The first, called Phg-1, was identified in the AND 277 variety  and recently mapped on linkage group B01 linked to markers from soybean . The second, called Phg-2, was identified in the Mexico 54 variety  linked to SCAR OPN02 and RAPD OPE04 markers. The latter was recently mapped on linkage group B08 . These two markers are linked to each other  and are also linked to the ALS resistance gene in the Cornell 49–242 , MAR 2  and BAT 332 varieties . Allelism tests showed that the Phg-2 gene from Mexico 54 is the same as the BAT 332 gene . Apart from these two genes, dominant monogenic inheritance for resistance to ALS has also been described in the Ouro Negro  and G10474 varieties , but the relationship of these genes with Phg-1 and Phg-2 remains unknown. Finally, there is also the case of US. Pinto 111, which presents recessive monogenic resistance .
In addition to qualitative resistance genes, there are also reports of QTLs controlling resistance to ALS. Five QTLs were mapped on linkage group B04, one on B08, one on B09 and three on linkage group B10 [23, 29, 30]. These studies revealed, therefore that resistance to ALS is more complex than described in the papers cited above. Mahuku et al. , for example, identified two resistance genes in G10909, where the gene mapped in the B08 group, and despite also being linked to the OPE04 marker, is distinct from Phg-2. These results substantiate the more complex inheritance theory towards resistance to ALS observed by Caixeta et al. . These authors showed, via allelism tests, that three other genes (Phg-3, Phg-4 and Phg-5), with two alleles each, control resistance to ALS in four bean varieties that were previously characterized as containing monogenic resistance (AND 277, Mexico 54, MAR 2 and Cornell 49–242).
The objective of this study was to identify QTLs that impart resistant to ALS by means of resistance quantitative analysis of 346 recombinant inbreed lines (RILs) derived from the IAC-UNA x CAL 143 (UC) cross. Line resistance was assessed in three experiments that reflect two distinct infection conditions: evaluation in the field (dry and wet seasons) under natural infection conditions, and evaluation in the greenhouse under controlled inoculation conditions. Linkage analysis between QTL and molecular markers, previously used to construct a genetic map for this same UC population , was carried out by means of joint composite interval mapping analysis (joint CIM; ).
Statistical analysis of disease severity data
Angular necrotic spots, which are typical of the disease, were seen in the more susceptible RILs 10 days after inoculation on plants growing in the greenhouse and 30 days after sowing, in plants grown in the field. Parent lines presented a contrasting profile for resistance (Figure 1), as expected. The average severity for CAL 143 was 1.23 ± 0.4 considering all experiments, while for IAC-UNA, it was 5.16 ± 0.4 (Table 1). Broad-sense heritability for ALS resistance (Table 1) was high in both wet season experiment on field and in the greenhouse experiment and moderate in dry season experiment. Character showed high heritability (Table 1) in joint analysis.
Severity levels among RILs ranged from 1.0 to 8.9 (Table 1). Severity data values of recombinant inbreed lines (RILs) showed normal distribution judging by skewness (0.0 for all experiments) and kurtosis values (0.32, 0.62 and 1.44 for dry and wet seasons and greenhouse experiments, respectively). Variance analyses (data not shown) confirmed great variability among RILs shown by highly significant values of F tests (F value 3.9, 2.4 and 1.82, p <0.0001 for dry and wet seasons and greenhouse experiments, respectively). Higher or lower resistance levels in relation to the parents were observed for RILs, which showed transgressive segregation.
The genetic and phenotypic correlations were significant in all pairwise combinations between experiments. Pearson’s (rphe) values were small, though significant (i.e. values different from zero with p-value ≤ 0.001), with lower values among field and greenhouse experiments (Table 2). The experiments showed no significant environmental correlation. This analysis also revealed a higher correlation between dry and wet seasons in field experiments in relation to the greenhouse experiment. As each of the three experiments proved to be a different environment, the QTL mapping analyses were not performed separately with the severity values for each experiment, but using a joint model . The joint variance analysis revealed significant interaction between genotype x environment (F value 1.53, p <0.0001).
QTL mapping analysis
QTL mapping through joint composite interval mapping (joint CIM) analysis revealed seven QTLs (Table 3, Figure 2) which were named according to Miklas et al. . Five QTLs were significant in all three experiments (ALS2.1UC, ALS4.1GS,UC, ALS4.2GS,UC, and ALS5.2UC ALS10.1DG,UC; Figures 2A, C, E) and only two were not significant in dry season experiment (ALS3.1 and ALS5.1; Figures 2B and 2D, respectively). The ALS10.1 QTL, located on the B10 linkage group, showed the highest LOD and R2 values of all QTLs and the maximum LOD value was located on the same map position for all the experiments (Figure 2E). Two QTLs that were significant in all experiments showed greater effect only in one of them (Table 3): ALS4.2 had a greater effect in wet season experiment and ALS5.2 in the greenhouse. The remaining QTLs had minor effect on the phenotype.
The percentage of phenotypic variation explained by the combined effects of each QTL was 28% in dry season field experiment, 42% in wet season field experiment and 38% in the greenhouse experiment. As expected, the values of additive effects of each QTL revealed that the alleles from the CAL 143 parent favored resistance in most loci, except in locus ALS5.1, whose favorable allele, in the greenhouse experiment, came from the susceptible parent IAC-UNA (Table 3).
Major QTL validation across bean lines
The marker closest to the maximum LOD value from the major QTL ALS10.1 (GATS11b) was used to genotype resistant and susceptible bean lines. Only in two cases was there discrepancy between line phenotype and its genotype for the locus, where the BAT 332 and Mexico 54 lines, which are resistant to ALS, presented a marker allele from the susceptible parent (IAC-UNA). Thus, all susceptible lines presented the same allele as IAC-UNA, while three of five resistant lines showed the same allele as CAL 143 (Additional file 1).
This is the first QTL x environment interaction report for common bean resistance to ALS. The results revealed the existence of seven QTLs with variable magnitudes of phenotypic effects depending on the environments (Table 3), which indicated a complex and quantitative inheritance pattern of this trait on the CAL 143 line. The results contrast with those of other studies that reported dominant monogenic resistance inheritance [20, 22, 24, 25, 27, 37, 38]. One cause for this discrepancy is that these studies have assessed and analyzed the resistance in a qualitative manner rather than in a quantitative one. In fact, when using QTL analysis or when symptom evaluation is made quantitatively, different resistance genes may be observed in the same genotype. López et al.  conducted a QTL mapping through the DOR364 x G19833 population and found five ALS resistance QTLs. Mahuku et al. [23, 30], on the other hand, used severity assessment on a quantitative scale and found three resistance genes in G5686 and two in G10909. Likewise, allelism tests showed that lines, previously characterized as containing dominant monogenic resistance, actually have different resistance loci to ALS, with allelic variations between lines [26, 31]. It was shown, for example, that AND 277 has three other genes (Phg-22 to Phg-42) in addition to the previously identified Phg-1. As AND 277 is one of CAL 143 parents, then it is possible that these three genes are segregating in the UC mapping population. The quantitative resistance nature to ALS can also be inferred by the presence of transgressive RILs both for resistance and susceptibility, a phenomenon observed both in field experiments as well as in the greenhouse.
A reasonable part of the phenotypic variation was explained by the sum of the effects of QTLs, especially in wet season and the greenhouse experiments. The lowest total of R2 observed in dry season may have occurred because the experiment was conducted during the dry season when the crop reaches the adult plant stage, since the dry climate discourages the development of the disease [8, 9]. This condition did not prevail in wet season, which was carried out in the wet season, similar to the greenhouse, where conditions were controlled, with temperature and humidity favorable to fungal growth. These differences reflect the low correlations between the experiments probably due to genotype x environment interaction. However, the higher correlation between the field experiments than between them and the greenhouse was expected, since in the field the infection occurred in a natural way, differently of the experiment in the greenhouse.
Nevertheless, a major QTL (ALS10.1) was identified in all three experiments. This QTL is interesting because of its stability and its pronounced effect which explains the high resistance heritability revealed by variance analysis. A high heritability level for this trait was also reported by Amaro et al.  in a study of recurrent selection. The ALS10.1 QTL was located on linkage group B10, where López et al.  mapped a QTL with a large resistance effect for this same disease in the DOR364 × G19833 population. Due to being close to a resistance gene analog marker (RGA7) and to it also being linked to an anthracnose resistance gene, the authors suggested the existence of an R gene cluster in this genomic region. As RGA7 is linked to GATS11b (approximately 2 cM), it is very likely that the QTL reported by López et al.  corresponds to the ALS10.1 identified in this study.
The closest marker to the maximum LOD value in ALS10.1 (GATS11b) was used to validate this QTL in a set of lines that are resistant or susceptible to ALS. There was a correlation between phenotype and genotype marker in most cases. The two resistant genotypes (BAT 332 and Mexico 54) which presented the same marker allele as the susceptible IAC-UNA parent are known sources of Mesoamerican resistance, and due to this must have different resistance genes [31, 38] which are not present in the GATS11b locus of ALS10.1. The hypothesis is reinforced by the fact that an allelism test with AND 277, CAL 143 parent, identified different genes in relation to Mexico 54, where the only gene in common (Phg-2) revealed a different allelic form . Thus, it is plausible that the BAT 332 and Mexico 54 lines have a different allele for the ALS10.1 locus, taking into consideration that they are from diverging gene pools in relation to CAL 143.
QTLs with minor effects were also identified. Among these, ALS5.2 and ALS4.2 showed an interesting QTL x environment interaction. ALS5.2 revealed a greater resistance effect under greenhouse conditions, but only a small effect in the field experiments. ALS4.2 on the other hand, presented an opposite interaction with a greater resistance effect only under field conditions but not in the greenhouse. The remaining QTLs did not present such a variable effect among the experiments. Therefore, ALS4.2 and ALS5.2 are interesting QTLs for breeding approaches, as in the field the plants are subject to infection by different races of the pathogen, and in the greenhouse, the infection is race-specific, thus, the pyramiding of these two loci tends to result in more resistant cultivars in both conditions.
To date, no QTL has been identified on linkage group B05. The peak LOD score of the ALS5.2 QTL coincided with the position of the Pv-att006 marker in both individual and joint analysis. This is a microsatellite that occurs within a gene related to pathogenesis (PR gene) that codes for an endochitinase , which is an enzyme involved in the degradation of fungal cell walls. The co-localization between resistance QTLs and defense genes in plants reported in several pathosystems suggests the existence of a functional relationship between the QTLs and these genes . The co-localization between an endochitinase and a resistance QTL, for example, has been reported in the pathosystem pepper - Phytophthora capsici.
The ALS4.1 and ALS4.2 QTLs were located on linkage group B04, where López et al.  reported resistance gene linkage to ALS with RGA markers. However, as there are no common markers on this linkage group, it was not possible to establish a relationship between resistance QTLs described by López et al.  and those mapped in this study. However, it is possible that ALS4.1 and ALS4.2 identified in this study and PhgG5686A identified by Mahuku et al.  in the G5686 Andean line, are part of an Andean resistance gene cluster, as in the cross-map information [32, 35], it can be noted that the Pv-ag004 marker (0.0 cM of PhgG5686A) is located between BMd 9 and PVBR92, that are close to the maximum LOD values for ALS4.1 (10 cM) and ALSb4.2 (4 cM).
Due to harboring genes that confer resistance to different P. griseola gene pool races, this cluster could be interesting to be used in common bean breeding programs, as the Andean resistance genes are most effective when transferred to cultivars of the Mesoamerican pool when they are grown in regions in which both Andean and Mesoamerican P.griseola isolates predominate [6, 10]. Thus, the markers identified in this work in addition to those identified by Mahuku et al.  are applicable tools for marker assisted selection to obtain improved cultivars containing this ALS resistance cluster.
The results indicate quantitative resistance control to angular leaf spot in CAL 143. Seven QTLs with variable effects were identified, four of which had never been mapped before. One major QTL of stable effect in the three experiments (ALS10.1) was identified in this study. The presence of this QTL explains the high heritability of the character reported in this study. Alleles at the GATS11b marker locus linked to the major QTL distinguished lines that are resistant and susceptible to ALS. Thus, GATS11b can be an important tool to be used in common bean improvement to carry out marker-assisted selection. The results also point to a significant QTL x environment interaction. ALS4.2 and ALS5.2 are seen as being interesting for application in bean breeding, since their pyramiding can lead towards obtaining more resistant cultivars under both infection conditions. In addition, the QTLs present on the B04 group could be part of a resistant gene cluster to different P. griseola gene pools.
A population of 346 RILs in generation F12 from the IAC-UNA x CAL 143 cross  were used in the ALS resistance experiments. The IAC-UNA has Mesoamerican origin, is black seeded and susceptible to ALS, while CAL 143 has Andean origin, red striped calima type seeds and is resistant to ALS.
Field evaluation of resistance to ALS
The RILs were evaluated in two experiments at the Experimental Station ‘Fazenda Santa Eliza’ (Instituto Agronômico in Campinas - SP, Brazil). The first was carried out in February/2009 during the dry season and the second in August/2009, in the wet season. The experimental plot consisted of a row with 10 plants/RIL, spaced 50 cm apart. The experimental design was a completely randomized block design with two replicates. The Carioca Comum cultivar was a susceptible genotype used as borderline. The IAC-UNA and CAL 143 parents and the Carioca Comum cultivar were also included as controls, between treatments.
The symptoms were evaluated approximately 60 days after planting, in the six central plants of the portions, using a diagrammatic scale that classifies the severity levels in grades ranging from 1 (no symptoms) to 9 (30% or more of leaf area with symptoms) .
Greenhouse evaluation of resistance to ALS
The seeds were sown in plastic boxes (29.5 cm x 46.5 cm x 12.5 cm) with Dystrophic Red Latosol type soil, fertilized with NPK 04-14-08 (400 kg/ha), each containing 3 RILs sown in rows at a distance of approximately 4 cm, containing six plants each. The experimental design was also made up of completely randomized blocks with four replicates. The IAC-UNA and CAL 143 parents and the Carioca Comum cultivar were included among the treatments as controls.
Plants were inoculated 2 to 3 weeks after planting, when the plants were at the V3 development stage (first expanded trifoliate), by spraying both leaf surfaces with a 104 conidia/ml suspension prepared from P. griseola monosporic colonies grown in V8 medium . The isolate used (14259–2) was classified as belonging to the 0–39 race based on the reaction of the differential cultivars according to Pastor-Corrales et al. . After inoculation, the RILs were kept for 48 h at room temperature between 22 to 24°C, relative humidity between 95 to 100% and photoperiod of 12 h . After this period, plants were transferred to the greenhouse. The severity evaluation was made 17 days after inoculation, as described above.
Statistical data analysis
Severity data were used for genetic (rgen), environmental (renv) and phenotypic (rphe) correlation analyses between experiments by the Genes software . Spearman’s rank correlation as well as Pearson’s correlation were performed by the R software (packages "Hmisc" ). As the results for all phenotypic correlations were the same (data not shown), it was chosen the Pearson’s values to be discussed in the article. The severity data were also used in individual and joint variance analysis . The normality of data distribution was evaluated by skweness and kurtosis values. Broad-sense heritability based on means was calculated for each experiment in joint analysis, using the mean square values of the ANOVAs . Least Square Means (LSMeans) of severity of each RIL for each experiment/environment were used for QTL mapping.
Joint CIM QTL mapping
Previously mapped microsatellite markers by Campos et al. , based on segregation data from UC population, were used to identify QTLs. The genetic map comprises 198 markers distributed into eleven bean linkage groups (B01 to B11), with a total length of 1865.9 cM and an average distance between markers of 9.4 cM. The joint composite interval mapping analysis (model 6 - JZmapqtl, ) was used to determine possible QTL x environment interactions. The QTL evidence was checked at 1 cM intervals and with a 10 cM window using the likehood ratio test (LRT). LRT values were converted to the LOD scale using formula: LOD = 0.2172 * LRT. The multiple regression (stepwise) with a 5% significance level was used to obtain the cofactors used in the CIM analysis, by the QTL Cartographer vs.1.17 software .
Due to the performance of multiple tests, the threshold values for QTL detection were determined separately for each linkage group, based on the Σi [(Ti/50) +1] formula, where Ti is the length in cM of the ith linkage group, considering adjacent regions every 50 cM as independent . The threshold LOD values were compared to the maximum LOD values of the joint analysis for each linkage group to determine the presence of significant QTLs. The additive effect values were estimated for each experiment individually only for significant QTLs in the joint analysis. The model with significant QTLs for all linkage groups for each experiment was adjusted to determine the phenotypic variation (R2) explained by each QTL.
Validation of marker linked to major QTL
A marker linked to the major QTL was used in the genotyping of 32 bean lines (Additional file 1). The line reactions to the 0–39 race were evaluated in the greenhouse as previously described. The symptom evaluation also followed the grade scale from 1–9 .
DNA extraction from each plant was performed according to Hoisington et al. . Genotyping was conducted according to Campos et al. . The polymorphic fragments were visualized on denaturing 6% polyacrylamide gels silver stained.
Angular Leaf Spot
Analysis of Variance
- Joint CIM:
Joint Composite Interval Mapping
Likehood Ratio Test
Least Square Means
Quantitative Trait Locus
Recombinant Inbreed Line
IAC-UNA x CAL 143.
Anderson JW, Smith BM, Washnock CS: Cardiovascular and renal benefits of dry bean and soybean intake. Am J Clin Nutr. 1999, 70: 464-474.
Broughton WJ, Hernández G, Blair MW, Beebe S: Beans (Phaseolus spp.) - model food legumes. Plant Soil. 2003, 252: 55-128.
Food and Agriculture Organization of the United Nations, FAO. http://www.fao.org/,
The Brazilian Institute of Geography and Statistics. http://www.ibge.gov.br/home/,
Stenglein S, Ploper LD, Vizgarra O, Balatti P: Angular leaf spot: a disease caused by the fungus Phaeoisariopsis griseola (Sacc.) Ferraris on Phaseolus vulgaris L. Adv Appl Microbiol. 2003, 52: 209-243.
Miklas PN, Kelly JD, Beebe SE, Blair MW: Common bean breeding for resistance against biotic and abiotic stresses: From classical to MAS breeding. Euphytica. 2006, 147: 105-131. 10.1007/s10681-006-4600-5.
Crous PW, Liebenberg MM, Braun U, Groenewald JZ: Re-evaluating the taxonomic status of Phaeoisariopsis griseola, the causal agent of angular leaf spot of bean. Stud Mycol. 2006, 55: 163-173. 10.3114/sim.55.1.163.
Monda EO, Sanders FE, Hick A: Infection and colonization of bean leaf by Phaeoisariopsis griseola. Plant Pathol. 2001, 50: 103-110. 10.1046/j.1365-3059.2001.00537.x.
Allorent D, Savary S: Epidemiological characteristics of angular leaf spot of bean: a systems analysis. Eur J Plant Pathol. 2005, 113: 329-341. 10.1007/s10658-005-4038-y.
Pastor-Corrales MA, Jará CE: La evoluciòn de Phaseolus vulgaris con el frijol comúm en America Latina. Fitopatologia Colombiana. 1995, 19: 15-24.
Pastor-Corrales MA, Jara CE, Singh S: Pathogenic variation in, source of, and breeding for resistance to Phaeoisariopsis griseola causing angular leaf spot in common bean. Euphytica. 1998, 103: 161-171. 10.1023/A:1018350826591.
Sartorato A: Identification of Phaeoisariopsis griseola Pathotypes in five States in Brazil. Fitopatol Bras. 2002, 27: 78-81. 10.1590/S0100-41582002000100012.
Silva KJD, Souza EA, Sartorato A, Freire CNS: Pathogenic variability of isolates of Pseudocercospora griseola, the cause of common bean angular. J Phytopathol. 2008, 156: 602-606. 10.1111/j.1439-0434.2008.01413.x.
Wagara N, Mwangombe AW, Kimenju JW, Buruchara RA, Jamnadass R, Majiwa O: Genetic diversity of Phaeoisariopsis griseola in Kenya as revealed by AFLP and group-specific primers. J Phytopathol. 2004, 152: 235-242. 10.1111/j.1439-0434.2004.00836.x.
Mahuku GS, Jara C, Cajiao C, Beebe S: Sources of resistance to angular leaf spot (Phaeoisariopsis griseola) in common bean core collection. Euphytica. 2003, 130: 303-313. 10.1023/A:1023095531683.
Sartorato A: New sources of resistance to angular leaf spot on common bean. Fitopatol Bras. 2006, 31: 92-194.
Aggarwal VD, Pastor-Corrales MA, Chirw RMA, Buruchara RA: Andean beans (Phaseolus vulgaris L.) with resistance to the angular leaf spot pathogen (Phaeoisariopsis griseola) in Southern and Eastern Africa. Euphytica. 2004, 136: 201-210.
Vieira RF, Vieira C, Pinto CMF, Rodrigues OL: Comportamento de cultivares de feijão tipo manteigão em Minas Gerais – III. Ceres. 2002, 49: 29-39.
Kimani JM, Kimani PM, Githiri SM, Kimenju JW: Mode of inheritance of common bean (Phaseolus vulgaris L.) traits for tolerance to low soil. Euphytica. 2007, 115: 225-234.
Carvalho GA, Paula TJ, Alzate-Marin AL, Nietsche S, Barros EG, Moreira MA: Inheritance of resistance to angular leaf spot of common bean in AND 277 to race 63–23 of Phaeoisariopsis griseola and identification of a RAPD marker linked to the resistance gene. Fitopatol Bras. 1998, 23: 482-485.
Gonçalves-Vidigal MC, Cruz AS, Garcia A, Kami J, Vidigal Filho PS, Sousa LL, McClean P, Gepts P, Pastor-Corrales MA: Linkage mapping of the Phg-1 and Co-14 genes for resistance to angular leaf spot and anthracnose in the common bean cultivar AND 277. Theor Appl Genet. 2011, 122: 893-903. 10.1007/s00122-010-1496-1.
Sartorato A, Nietsche S, Barros EG, Moreira MA: RAPD and SCAR markers linked to resistance gene to angular leaf spot in common beans. Fitopatol Bras. 2000, 25: 637-642.
Mahuku GS, Henrıquez MA, Montoya C, Jara C, Teran H, Beebe S: Inheritance and development of molecular markers linked to angular leaf spot resistance genes in the common bean accession G10909. Mol Breed. 2011, 28: 57-71. 10.1007/s11032-010-9461-x.
Nietsche S, Borém A, Carvalho GA, Rocha RC, Paula JRT, Barroso EG, Moreira MA: RAPD and SCAR markers linked to a gene conferring resistance to angular leaf spot in common bean. J Phytopathol. 2000, 148: 117-121. 10.1046/j.1439-0434.2000.00479.x.
Ferreira CF, Borém A, Carvalho GA, Nietsche S, Paula TJ, Barros EG, Moreira MA: Inheritance of angular leaf spot resistance in common bean and identification of a RAPD marker linked to a resistance gene. Crop Sci. 2000, 40: 1130-1133. 10.2135/cropsci2000.4041130x.
Namayanja A, Buruchara R, Mahuku G, Rubaihayo P, Kimani P, Mayanja S, Eyedu H: Enheritance of resistance to angular leaf spot in common bean and validation of the utility of resistance linked markers for marker assisted selection outside the mapping population. Euphytica. 2006, 151: 361-369. 10.1007/s10681-006-9158-8.
Corrêa RX, Pedro IV, Oliveira MLP, Nietsche S, Moreira M, Barros EG: Herança da resistência a mancha angular do feijoeiro e a identificação de marcadores moleculares flanqueando o loco de resistência. Fitopatol Bras. 2001, 26: 27-32. 10.1590/S0100-41582001000100005.
Mahuku G, Montoya C, Henrıquez MA, Jara C, Teran H, Beebe S: Inheritance and characterization of angular leaf spot resistance gene present in common bean accession G 10474 and identification of an AFLP marker linked to the resistance gene. Crop Sci. 2004, 44: 1817-1824. 10.2135/cropsci2004.1817.
López CE, Acosta IF, Jara C, Pedraza F, Gaitán-Solís E, Gallego G, Beebe S, Tohme J: Identifying resistance gene analogs associated with resistances to different pathogens in common bean. Phytopathol. 2003, 93: 88-95. 10.1094/PHYTO.2003.93.1.88.
Mahuku GS, Iglesias AM, Jara C: Genetics of angular leaf spot resistance in the Andean common bean accession G5686 and identification of markers linked to the resistance genes. Euphytica. 2009, 167: 381-396. 10.1007/s10681-009-9897-4.
Caixeta ET, Borém A, Kelly JD: Development of microsatellite markers based on BAC common bean clones. Crop Breed App Biotech. 2005, 5: 125-133.
Campos T, Oblessuc PR, Sforça DA, Cardoso JMK, Baroni RM, Benchimol LL, Carbonell SAM, Chioratto AF, Garcia AAF, Souza AP: Development of new linkage map for common bean (Phaseolus vulgaris L.) based on microsatellite markers. Mol Breed. 2011, 27: 549-560. 10.1007/s11032-010-9453-x.
Jiang CJ, Zeng ZB: Multiple-trait analysis of genetic mapping for quantitative trait loci. Genetics. 1995, 140: 1111-1127.
Miklas PN, Porch T: Guidelines for common bean QTL nomenclature. Bean Improv Coop. 2010, 53: 202-203.
Blair MW, Pedraza F, Buendia HF, Gaitn-Solis E, Beebe SE, Gepts P, Tohme J: Development of a genome-wide anchored microsatellite map for common bean (Phaseolus vulgaris L.). Theor Appl Genet. 2003, 107: 1362-1374. 10.1007/s00122-003-1398-6.
Pedrosa A, Vallejos C, Bachmair A, Schweizer D: Integration of common bean (Phaseolus vulgaris L.) linkage and chromosomal maps. Theor Appl Genet. 2003, 106: 205-212.
Faleiro FG, Ragagnin VA, Schuster I, Corrêa RX, Good-God PI, Brommonshenkel SH, Moreira MA, Barros EG: Mapeamento de genes de resistência do feijoeiro à ferrugem, antracnose e mancha-angular usando marcadores RAPD. Fitopatol Bras. 2003, 28: 59-66. 10.1590/S0100-41582003000100009.
Caixeta ET, Borém A, Fagundes SA, Niestche S, Barros EG, Moreira MA: Inheritance of angular leaf spot resistance in common bean line BAT 332 and identification of RAPD markers linked to the resistance gene. Euphytica. 2003, 1343: 297-303.
Amaro GB, Abreu AFB, Ramalho MAP, Silva FB: Phenotypic recurrent selection in the common bean (Phaseolus vulgaris) with carioca-type grains for resistance to the fungi Phaeoisariopsis griseola. Genet Mol Biol. 2007, 30: 584-588. 10.1590/S1415-47572007000400014.
Yu K, Park SJ, Poysa V, Gepts P: Integration of simple sequence repeat (SSR) markers into a molecular linkage map of common bean (Phaseolus vulgaris L.). J Hered. 2000, 91: 429-434. 10.1093/jhered/91.6.429.
Kelly JD, Vallejo V: QTL analysis of multigenic disease resistance in plant breeding. Multigenic and induced systemic resistance in plants. Edited by: Tuzun S, Bent E. 2006, Springer Science, New York, 21-48.
Pflieger S, Palloix A, Caranta C, Blattes A, Lefebvre V: Defense response genes co-localize with quantitative disease resistance loci in pepper. Theor Appl Genet. 2001, 103: 920-929. 10.1007/s001220100726.
Godoy CV, Carneiro SMTPG, Iamauti MT, Pria MD, Amorim L, Berger RD, Bergamin FA: Diagrammatic scale for bean diseases: development and validation. Plant Disease and Protection. 1997, 104: 336-345.
Cruz C: Programa GENES: Aplicativo computacional em estatística aplicada à genética (GENES - Software for Experimental Statistics in Genetics). Genet Mol Biol. 1997, 21: 1415-4757.
R Development Core Time: R: A Language and Environment for Statistical Computing. 2011, R Foundation for Statistical Computing, Vienna, Austria, http://www.r-project.org/,
Sokal RR, Rohlf FJ: Biometry: the principles and practice of statisitics in biological research. 1981, WH Freeman, San Francisco
Knapp SJ, Stoup WW, Ross WM: Exact intervals for heritability on a progeny mean basis. Crop Sci. 1985, 25: 192-194. 10.2135/cropsci1985.0011183X002500010046x.
Wang S, Basten CJ, Zeng ZB: Windows QTL Cartographer ver. 2.5. 2005, Department of Statistics, NC, http://statgen.ncsu.edu/qtlcart/WQTLCart.htm,
Vieira C, Pasyukova EG, Zeng Z, Hackett JB, Lyman RF, Mackay TFC: Genotype-environment interaction for quantitative trait loci affecting life span in Drosophila melanogaster. Genetics. 2000, 154: 213-227.
Hoisington D, Khairallah M, González-de-León D: Laboratory Protocols: CIMMYT Applied Molecular Genetics Laboratory. 1994, CIMMYT, Mexico
This work was supported by FAPESP through grants 2005/53819-0, 2010/51673-7. PRO received a fellowship from FAPESP (2006/58332-5, 2009/024112). The authors thank Gliciane Micaele Borges Silva for collaborating in the field and greenhouse experiments and Dr. Margarida Fumiko Ito, from the Fitossanitary Center at Instituto Agronômico (IAC, Campinas, SP, Brazil), for providing isolates of P. griseola.
The authors declare that they have no competing interests.
PRO conceived the experimental design; conducted the experiments and data analyses, and drafted the manuscript. RMB contributed with the genotyping and phenotyping, helping also on linkage and QTL analyses. LEAC participated in the initial design of the project, discussions and in the editing of the manuscript. AAFG supported QTL and experimental data. AFC and SAMC provided the mapping population and performed the ANOVA analyses. LLB conceived the project, was responsible for the project coordination, helped with data interpretation, and editing of the manuscript. All authors have read and approved the final version of the manuscript.
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Oblessuc, P.R., Baroni, R.M., Garcia, A.A.F. et al. Mapping of angular leaf spot resistance QTL in common bean (Phaseolus vulgaris L.) under different environments. BMC Genet 13, 50 (2012) doi:10.1186/1471-2156-13-50
- Phaseolus vulgaris L.
- Angular leaf spot
- Joint composite interval mapping
- Resistance QTL