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Pesquisa Agropecuária Brasileira

Print version ISSN 0100-204XOn-line version ISSN 1678-3921

Pesq. agropec. bras. vol.41 no.10 Brasília Oct. 2006

http://dx.doi.org/10.1590/S0100-204X2006001000006 

GENETICS

 

Genetic distance estimated by RAPD markers and its relationship with hybrid performance in maize

 

Distância genética estimada por marcadores RAPD e sua relação com o desempenho de híbridos em milho

 

 

Daniela Cristina BruelI; Valéria Carpentieri-PípoloI; Antonio Carlos GerageII; Nelson da Silva Fonseca JúniorII; Cássio Egídio Cavenaghi PreteI; Claudete de Fátima RuasIII; Paulo Maurício RuasIII; Silvia Graciele Hülse de SouzaI; Deoclécio Domingos GarbuglioI

IUniversidade Estadual de Londrina (UEL), Dep. de Agronomia, Caixa Postal 6001, CEP 86051-990 Londrina, PR, Brazil. E-mail: danibruel@bol.com.br, pipolo@uel.br, cassio@uel.br, silviahulse@yahoo.com.br, deocleciodg@yahoo.com.br
IIInstituto Agronômico do Paraná, Dep. de Agronomia, Caixa Postal 481, CEP 86001-970 Londrina, PR, Brazil. E-mail: milhoger@iapar.br, nsfjr@iapar.br
IIIUEL, Dep. de Biologia. E-mail: ruas@sercomtel.com.br

 

 


ABSTRACT

The objective of this work was to evaluate the genetic diversity of 16 maize inbred lines, and to determine the correlation between genetic distance and hybrid performance, using random amplified polymorphic DNA (RAPD) molecular markers. Twenty-two different random primers were used, which resulted in the amplification of 265 fragments, 237 (84.44%) of them being polymorphic. A genetic similarity matrix was created from the RAPD data, using Jaccard coefficient, and a dendrogram was constructed. Hybrid analyses were carried out using random block design and Griffing method VI for diallel crossings. The genetic associations showed five distinct heterotic groups. Correlations between genetic divergences detected by RAPD, as well as the means observed in the diallel crossings were positive and significant for plant height, ear height, prolificacy, and grain weight. The correlation of genetic divergences, detected by RAPD, and the specific combining ability between heterotic group associations, showed significance in all characteristics under study, except prolificacy. A direct relationship between genetic divergence and productivity was found in 79.2% of the 120 hybrids confirming the hypothesis that genetic divergence is directly related to the performance of hybrids and is efficient in predicting it.

Index terms: Zea mays, diallel, heterotic patterns, molecular markers.


RESUMO

Este trabalho teve por objetivo utilizar marcadores moleculares de DNA (RAPD), para analisar a diversidade genética entre 16 linhagens elite de milho e estimar a correlação entre a distância e o desempenho de híbridos. Vinte e dois primers aleatórios resultaram na amplificação de 265 fragmentos, dos quais 237 (84,44%) foram polimórficos. A partir dos marcadores RAPD, uma matriz de similaridade genética foi gerada, tendo-se usado o coeficiente de Jaccard, e um dendrograma foi construído. Para a avaliação dos híbridos resultantes dos dialelos, utilizaram-se blocos ao acaso e o método IV de Griffing. As associações genéticas obtidas mostraram cinco padrões heteróticos distintos. As correlações entre as divergências genéticas, detectadas por RAPD, e as médias observadas nos cruzamentos dialélicos foram positivas e significativas para as características altura de planta, altura de espiga, prolificidade e peso de grãos. As correlações das divergências genéticas, detectadas por RAPD, e a capacidade específica de combinação entre as associações de grupos heteróticos, mostraram significância em todas as características em estudo, exceto prolificidade. Dos 120 híbridos, 79,2% apresentaram relação direta entre divergência genética e a produtividade, o que confirma a hipótese de que a divergência genética das linhagens está diretamente relacionada ao desempenho dos híbridos e é eficiente em predizê-lo.

Termos para indexação: Zea mays, dialelo, padrões heteróticos, marcadores moleculares.


 

 

Introduction

The maize hybrid development within a breeding program consists in obtaining lines and evaluating their combining ability. One of the most important decision that breeders have to make refers to the selection of populations for a breeding program. This decision must be as correct as possible, since a bad choice will imply on a waste of breeding time and resources.

Genetic diversity evaluation is frequently used by maize breeders as an alternative method for germplasm selection. The aim of this method is to select more promising materials and to decrease expenditures and time required to implement several hybrid combinations, which are sometimes unnecessary. Efforts are therefore focused on more promising combinations, that is, those between more divergent materials.

Although genetic diversity is a required condition for heterosis existence, it is not sufficient for heterosis to manifest itself, since it depends on the magnitude of the differences in allelic frequencies over the dominance effect, for all involved loci (Cress, 1966).

Genetic diversity can be obtained by means of physiological, morphological, agronomic, and molecular differences that exist between materials, and diversity can also be obtained by means of heterosis or through material specific combining ability (SCA), manifested in a series of crosses between varieties and hybrids (Melo et al., 2001).

According to Fuzatto et al. (2002), heterosis or the specific combining ability of two populations to cross depends on the existence of dominance in controlling the character, and on diversity between them, so that when parents are selected for those populations, preference should be given to parents that are divergent and already adapted. According to those authors, one of the alternatives, when choosing populations with higher heterosis, is to estimate diversity between them, and one of the methods used is diallelic cross.

The development of molecular biology techniques allowed genetic diversity to be evaluated by means of molecular markers, which present some advantages over other methods, because, in addition to identifying great polymorphism, they do not show interaction with different environments, and can also be evaluated at any developmental stage (Williams et al., 1990).

RAPD consists in the random amplification of DNA fragments with a single primer with an arbitrary sequence, resulting in the final synthesis of several DNA fragments with different sizes. From this set of fragments it is possible to determine polymorphism in the DNA sequence, which can be used as a genetic marker (Williams et al., 1990). In maize, this technique has been widely used in diversity studies because, in addition to its low cost, it allows polymorphism to be detected in a simple and fast manner (Liu et al., 1998; Wu, 2000).

Lanza et al. (1997) verified, from their research results, that RAPD can be used as an alternative to determine genetic diversity between maize lines, separating them into different heterotic groups, and to aid in selecting superior crosses, thus reducing the number of crosses required in field evaluations.

Ferreira et al. (1995) stated that heterosis and the combining ability of parents depend directly on the genetic diversity between them, and that the chance of finding promising combinations is better when more divergent materials are used. Therefore, when techniques of genetic diversity evaluation are used for accomplishment of diallelic cross, it is observed a reduction in the number of combinations, because crosses between progenitors with low genetic divergence result in not very productive hybrids.

The objective of this work was to analyze genetic diversity among 16 elite maize lines by means of RAPD markers, and to estimate the correlation between genetic distance and the performance of hybrids.

 

Material and Methods

Sixteen elite maize lines, from the genetic breeding program of Instituto Agronômico do Paraná (IAPAR), were used, belonging to five heterotic groups (Table 1): group A: L69 – line obtained by self-fertilization from the IPTT36 population introduced by CIMMYT (Centro Internacional de Mejoramiento de Maíz y Trigo, Mexico); Group B: L72 – line obtained by self-fertilization from a commercial triple hybrid; Group C: L89, L90, L91, L92, L93, and L94 – lines obtained by self-fertilization from a commercial single hybrid; Group D: L95, L96, L97, L98, L99, L100, and L101 – lines obtained by self-fertilization from an experimental single hybrid from IAPAR; and Group E: L102 – line obtained by self-fertilization within the Amarillo Cristalino variety from CIMMYT.

 

 

The 16 inbred lines were intercrossed according to a balanced diallelic scheme, without reciprocal ones, during the 2000/2001 cropping season, in Ponta Grossa, PR, Brazil, and produced 120 hybrids. The treatments consisted of the 120 hybrid combinations and two checks (C909 – Cargill single hybrid and P30F33 – Pioneer single hybrid). Experimental design was organized as randomized blocks with two replications. The experimental plots consisted of three 5-meter-long rows spaced at 0.9 m. Five morphological characters were evaluated: female flowering (FF) – period (days) elapsed from emergence to silk emission; plant height (PH) – measure (cm) from the soil surface to the flag leaf curvature; ear height (EH) – measure (cm) from the soil surface to the insertion point of the highest ear; prolificacy (PROL) – determined by the ratio between numbers of ears/final stand; grain yield (GY) – adjusted to kg ha-1, with a moisture degree corrected to 14.5%, based on the grain yield obtained from all ears harvested in the plot. The moisture degree was determined as a percentage, immediately after weighting the grain.

Based on the analysis of hybrids, by means of analysis of variance, the treatment sums of squares were partitioned into general and specific combining abilities. The diallelic analysis was carried out using the method IV proposed by Griffing (1956), where only the hybrid F1 is used: Yij = m + gi + gj + sij + eij, in which Yij is the medium value of the hybrid ij (i, j = 1, 2, ...p, I<j); m is the general average; gi, gj are the effects of the general combining abitility of the i-th and j-th progenitor, respectively; sij is the effect of the specific combining ability for the crossings between the progenitors of i and j; and eij is the medium error experimental.

In order to extract the DNA, seeds of the 16 lines were placed to germinate in towel paper. After 14 days, each line was represented by a bulk consisting of young leaves from three individuals. The leaves were macerated after being frozen in liquid nitrogen. The DNA extraction method used was based on the protocol described by Ferreira & Grattapaglia (1998). DNA quantification was performed in a fluorometer and the samples were diluted to a final concentration of 10 ng µL-1 for amplification.

The amplification reactions were conducted in a final volume of 15 µL, containing: 1 X buffer (75 mM Tris-HCl pH 9, 50 mM KCl, and 2 mM (NH4)2SO4); 0.1 mM of each dNTP; 0.5 mM of primer; 0.7 unit of Taq DNA polymerase (Biotools); and 20 ng of DNA; and ultra-pure water to complete the volume. The amplifications were performed in a model PT-100 thermocycler (MJ Research, Massachusetts, USA) programmed to an initial stage of 3 min at 94ºC, 47 1 min cycles at 94ºC, 1.45 min at 38ºC, 2 min at 72ºC, and a final stage of 6 min at 72ºC. After amplification, the total volume plus glycerol, was loaded on 1.2% agarose gel, containing ethidium bromide (0.5 µg mL-1). The amplified fragments were separated by electrophoresis in TAE buffer (0.04M Tris-acetate and 0.01M EDTA pH 7.5), at 100 V for three hours. The fragments were visualized in ultraviolet light and the gel images were transferred to a microcomputer for analyses.

Twenty-two pre-selected decanucleotide primers (Operon Technologies, California, USA) were used in the RAPD reactions.

During gel evaluation, a similarity matrix was constructed where each band was treated as a single character, and its presence in an individual was designated as 1 and its absence in another individual was designated by 0. This matrix was used to produce genetic distances between pairs of inbred lines; these distances were estimated between all possible pairs. The NTSYS-pc software program version 2.1 (Rohlf, 2000), was used to evaluate the genetic associations between samples. Pairwise comparisons were made between lines based on Jaccard similarity coefficient (Jaccard, 1901). The genetic similarity estimate (GS) between each pair of lines was calculated using the expression GS = a/(n-d), in which a is the number of positive coincidences; n is the total number of fragments; and d is the number of negative coincidences. The genetic distances (GD) between pairs of lines were estimated by GD = 1 - GS.

The simplified representation of distances was done using a dendrogram, obtained by the UPGMA clustering method, and through the scattering of maize lines in a bidimensional graph using the first two principal coordinates. The bootstrap procedure was applied to calculate variance of the genetic similarities obtained from the markers and, thus, to verify the consistency of the obtained dendrogram. The variance coefficient was obtained from 1,000 bootstrap random draws using the DBOOT program (Coelho, 2001).

The relation between Jaccard genetic distances and the means observed in diallelic crosses of heterotic group combinations were evaluated by Pearson correlations, using the Genes software (Cruz, 2001). Estimates were obtained for genetic diversity correlations between all characteristics under study (FF, PH, EH, PROL and GY) and the observed means, as well as for the correlation between genetic distance and the specific combining abilities of all heterotic groups combinations.

 

Results and Discussion

Twenty-two primers were used, producing a total of 265 amplified fragment-bands, with an average of 12.05 bands per primer. Of these, 237 were polymorphic (10.77 bands per primer), and 28 were monomorphic (1.27 bands per primer). The number of polymorphic bands varied from 3 for the OPAR-11 primer up to 18 for the OPAR-05 primer (Table 2).

 

 

The level of polymorphism (84.44%) obtained was higher than in some maize studies, such as Melo et al. (2001), who obtained 61.46% of polymorphic bands working with hybrids, and Lanza et al. (1997), who obtained 80.6% of polymorphism studying genetic divergence between inbred lines using RAPD markers. The level of polymorphism to be obtained depends on the degree of divergence between the genotypes under study. The primers used in this study were rigorously pre-selected, taking into account the number and quality of the amplification products, and this may have contributed to increase the polymorphism.

Dendrogram stability is an important aspect to be considered in genetic variability studies (Carvalho et al., 2004). Analysis of genetic diversity involving maize inbred lines showed that 150 polymorphic bands were sufficient to stabilize the dendrogram (Lanza et al., 1997). According to Figure 1, and based on the bootstrap method, it can be observed that starting from approximately 180 bands, the coefficient of variation for the genetic distances (11.3%) between genotypes becomes stabilized, which indicates that 180 randomly-sampled bands would produce the same cluster obtained with the 265 bands used in this study. Pejic et al. (1998) used Dice coefficient and verified that when RAPD markers are used starting from 100 bands, practically no change occurs in the coefficient of variation for the genetic distances between genotypes. However, the number of bands giving a particular variation coefficient depends on the nature of the genotypes and of the coefficient used (Thormann et al., 1994).

 

 

Based on the 237 polymorphic bands obtained, a genetic distance matrix was constructed using the complement of Jaccard's similarity coefficient, listing all maize line pairs. Genetic distances (GD) among pairs of inbred lines ranged from 0.27 to 0.64, for the 120 hybrids, with an average of 0.51 (Table 3). The smallest genetic distance obtained was observed between lines L99 and L100, while the greatest distance was between lines L97 and L102. These results confirm that the analysis of genetic divergence by RAPD markers is a valid procedure, since the smallest divergence was observed for a cross between lines belonging to the same heterotic group, and the greatest divergence was observed for a cross between lines belonging to different heterotic groups. Souza Sobrinho et al. (2001) obtained a mean genetic divergence of 0.65 between seven commercial maize hybrids.

 

 

Figure 2 presents the dendrogram for inbred lines, according to the UPGMA clustering method. The 16 lines were separated into five distinct groups, which were in agreement with the heterotic patterns described by Iapar, which were pre-established based on their genealogy.

 

 

Lanza et al. (1997) reported that RAPD markers are useful to establish consistent heterotic groups between maize lines. This statement agrees with the results obtained in this study, where the same markers were efficient to separate the 16 lines into 5 heterotic groups, confirming the previous separation of those lines according to their genealogy.

Considering the genetic distances detected by the RAPD markers, the first heterotic group (A) is only comprised by line L69; the second group (B) is comprised by line L72; the third heterotic group (C) comprises lines L89, L90, L91, L92, L93, and L94; the fourth group (D) is formed by lines L95, L96, L97, L98, L99, L100, and L101; and the fifth and last group (E) is comprised by line L102.

The mean genetic distance obtained among all combinations of these five heterotic groups was 0.51 (Table 4); the highest mean was 0.61 between B×E combination, and the lowest means were obtained with C×C and D×D combinations, with 0.43 and 0.39, respectively. Such results were expected, since the combinations between similar heterotic groups could only present genetic divergence means lower than the combinations between distinct groups. The associations A×A, B×B, and E×E are not shown in the table, since no hybrids resulted from them, due to the fact that groups A, B, and E consisted of a single line.

 

 

The highest mean observed for the grain weight trait was for A×C combination, with 10,619 kg ha-1 (Table 5); this association of groups showed a genetic distance of 0.52. The lowest means observed for this trait corresponded to C×C and D×D combinations, with 6,390 and 4,490 kg ha-1, and genetic distance of 0.43 and 0.39, respectively. These results are useful to confirm Falconer's statement (1981) according to whom the higher is the genetic distance between crossed materials, the higher is the heterosis, and consequently, the higher is the productivity.

 

 

Correlations between genetic distances detected by RAPD and the means observed in diallelic crosses were positive and significant for plant height (r = 0.445), ear height (r = 0.335), prolificacy (r = 0.342), and grain weight traits (r = 0.680) (Table 6). Lanza et al. (1997), using tropical maize lines, also found direct and positive correlations between RAPD-based genetic distances and grain productivity in single hybrids of maize.

 

 

The correlation between genetic distance detected by RAPD markers and the specific combining ability (SCA) between heterotic group combinations (Table 7) were significant for all traits, except for prolificacy. A positive and significant correlation of 0.562 was obtained for the grain weight trait; the highest correlation for this trait occurred in A×D combinations (r = 0.669), while the lowest occurred in the C×E combinations, with r = -0.327. It is worth pointing out that the comparisons between estimates are based in a lack of balance between groups, that is, the groups do not have the same number of crosses; in view of this, it is necessary to evaluate the magnitude of values. Ajmone-Marsan et al. (1998) compared the use of RFLP and AFLP markers, in order to determine genetic divergence between 13 maize lines, as well as to verify the relation between genetic distance and the performance of hybrids in diallelic crosses. The results showed positive but small correlations between genetic distance and the performance of single hybrids for the grain yield character. Authors also concluded that genetic distance correlations using AFLP data, containing specific combining ability effects for grain yield, could be useful in hybrid prediction, which reinforces the use of genetic divergence analysis as detected by RAPD markers to predict maize single hybrids.

 

 

The 120 hybrids were projected onto a plane, where the X coordinate consisted of genetic distance and the Y coordinate consisted of the grain weight trait (kg ha-1) (Figure 3). This plane was divided into quadrants, taking into account the average genetic distance (0.51) and the mean observed for grain weight (8,052 kg ha-1). Nine hybrids showing low genetic distance and high grain weight were allocated in the first quadrant (I); the second quadrant (II) contained 62 hybrids showing high distance and high grain weight; the third quadrant (III) contained 16 hybrids showing high distance and low grain weight; and the fourth quadrant (IV) received 33 of the 120 hybrids, showing low distance and low grain weight. Therefore, the hybrids allocated in quadrants II and IV (79.2% of all hybrids) confirm the hypothesis that genetic distance is directly related to hybrid performance, and is efficient to predict them, when it comes to elite maize lines.

 

 

Conclusions

1. The genetic distance revealed by RAPD markers can be used to establish consistent heterotic patterns between maize inbred lines.

2. There are direct, positive, and significant correlations between the genetic distances estimated by RAPD markers and the productivity of hybrids from the 16 elite maize lines under study.

3. The genetic distances estimated by RAPD molecular markers can be used to predict crosses with greater performance for grain production, and to allocate genotypes into different heterotic patterns, noticeably reducing the number of crosses to be evaluated.

 

Acknowledgements

To Capes and CNPq, for supporting this work.

 

References

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Received on November 22, 2005 and accepted on July 12, 2006

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