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Genetics and Molecular Biology

Print version ISSN 1415-4757

Genet. Mol. Biol. vol.32 no.4 São Paulo  2009 Epub Oct 23, 2009

http://dx.doi.org/10.1590/S1415-47572009005000083 

EVOLUTIONARY GENETICS
RESEARCH ARTICLE

 

Genetic structure of drone congregation areas of Africanized honeybees in southern Brazil

 

 

Thais ColletI; Alexandre Santos CristinoII; Carlos Fernando Prada QuirogaI; Ademilson Espencer Egea SoaresII; Marco Antônio Del LamaI

IDepartamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, SP, Brazil
IIDepartamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil

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ABSTRACT

As yet, certain aspects of the Africanization process are not well understood, for example, the reproductive behavior of African and European honeybees and how the first Africanized swarms were formed and spread. Drone congregation areas (DCAs) are the ideal place to study honeybee reproduction under natural conditions since hundreds of drones from various colonies gather together in the same geographical area for mating. In the present study, we assessed the genetic structure of seven drone congregations and four commercial European-derived and Africanized apiaries in southern Brazil, employing seven microsatellite loci for this purpose. We also estimated the number of mother-colonies that drones of a specific DCA originated from. Pairwise comparison failed to reveal any population sub-structuring among the DCAs, thus indicating low mutual genetic differentiation. We also observed high genetic similarity between colonies of commercial apiaries and DCAs, besides a slight contribution from a European-derived apiary to a DCA formed nearby. Africanized DCAs seem to have a somewhat different genetic structure when compared to the European.

Key words: drone congregation area, africanization, honeybee reproduction, population genetics.


 

 

Introduction

Since the introduction of the African honeybee subspecies Apis mellifera scutellata into Brazil in 1956 there has been a dramatic change in the genetic makeup of European-derived honeybee populations in South and Central America in less than 50 years (Schneider et al., 2004). The replacement of the European by Africanized populations, and the strong predominance of African traits in the hybrid formed with the spread of African swarms throughout the New World, have been well documented (Lobo et al., 1989; Smith et al., 1989; Quezada-Euán and Paxton, 1999; Clarke et al., 2001; Collet et al., 2006).

Although several reasons for the prevalence of African traits in the resultant hybrid have been proposed (Schneider et al., 2004), two important issues are, as yet, not well understood, namely, the reproductive behavior of African and European honeybees and how the first Africanized swarms were formed and spread. The reproductive behavior of A. mellifera under natural conditions can be assessed through studies on drone congregation areas (DCAs). These are where hundreds of drones from various colonies gather in the same geographical area for mating. The main properties of a DCA are: 1) the highly mixed drone population from many surrounding apiaries; 2) the formation of these areas takes place independent of the presence of queens; and 3) the clustering of flying drones can be found every year in the same place (Jean-Prost, 1958). The composition of drone congregations is of great consequence for the genetic structure of honeybee colonies, as the number of colonies represented in a DCA affects the genetic diversity of new colonies (Baudry et al., 1998). Thus, DCAs are ideal for studying honeybee reproduction under natural conditions.

Most of the studies concerning DCA properties were hereto based on honeybee populations in Europe (Baudry et al., 1998; Koeniger et al., 2005a, 2005b; Kraus et al. 2005a), Asia (Punchihewa et al., 1990; Koeniger et al., 1994; Kraus et al., 2005b; Wattanachaiyingcharoen et al., 2008) or Africa (Free, 1987; Muerrle et al., 2007). Few studies on Africanized DCAs have been undertaken, these being related to drone racial identification for European queen-mating inferences in African-derived honeybee areas (Loper and Fierro, 1991), to the identification of the degree of Africanization in certain areas (Eischen and Rubink, 1997), or yet to assess the seasonal abundance of European and African-derived drones in DCAs for areas undergoing Africanization (Quezada-Euán and May-Itzá, 2001). There are no studies concerning the genetic structure of DCAs in Africanized areas of South and Central America.

In southern Brazil, near the towns of Lajeado and Eldorado do Sul (Rio Grande do Sul State), seven DCAs, located close to commercial apiaries of European-derived or Africanized colonies, were identified. The presence of European-derived and Africanized colonies in the area presented an opportunity for checking how these bees cooperate in forming a DCA. In this study, and by means of seven microsatelite loci, we analyzed the genetic structure of seven drone congregations and four commercial European-derived and Africanized apiaries. Besides estimating the number of mother colonies drones originated from, we also analyzed whether those visiting the DCAs originated from one or more subpopulations. Herein, we will describe (1) the low genetic differentiation among seven DCAs, (2) the genetic similarity between each DCA and the surrounding apiaries, and (3) the low representation of the European mitotype in those DCAs close to European-derived colonies.

 

Material and Methods

Sampling

A total of 410 A. mellifera drones were sampled from seven DCAs located near Africanized (T4, T6, T7 and S1) or European-derived apiaries (CM2, CM3, and HC) in Lajeado (30° 05' 44.1" S; 51° 40' 07.8" W) and Eldorado do Sul (29° 25' 43.1" S; 51° 58' 29.5" W) (Figure 1). All the DCAs were sampled in September, 2002, when the production of drones is high. Samples from CM2 were collected on two subsequent days and at different times, and were denominated CM2H1 (14:00-15:00 h) and CM2H2 (15:00-16:00 h). All drone congregations were very close, one to the other, except for DCA HC, which was located 76 km apart (Figure 1). Flying drones were captured with an aerial trap (Taylor, 1984) and kept at -20 °C until use. Workers were collected from four apiaries (Funcionários, Tambo, Casa-mel and Hans Cremer) located near these DCAs, so as to assess the effects of the presence of Africanized and European-derived colonies on DCA composition. The numbers of drones and workers per DCA and apiary are given in Table 1.

 

 

 

 

DNA extraction and analysis

Total DNA was extracted from the legs of the drones or from the thorax of a worker (one worker per colony) from each apiary by means of the phenol-chloroform method (Sheppard and McPheron, 1991).

Seven microsatellite loci (A14, A24, A43, A79, A88, A113 e B124) were amplified according to Estoup et al. (1995) and Solignac et al. (2003). Polymerase chain reaction (PCR) amplifications were performed in a 10 µL total volume containing 1 U of Platinum Taq DNA polymerase (Invitrogen), 10x Taq DNA polymerase buffer, 2.2 mM MgCl2 (except for A24, A43 and B124 with 2.5 mM MgCl2), 100 µM of each dNTP, 0.5 µM of each primer and 1 µL of template DNA for all primer pairs. The forward primer for each marker was labeled with one of three fluorescent dyes (Fan, Vic or Ned; Applied Biosystems). PCR conditions consisted of an initial 2 min denaturation step at 94 °C followed by 30 cycles of 94 °C for 30 s, annealing temperatures at 55 °C (A24, A43 and B124) or 62 °C (A14, A79, A88 e A113) for 30 s, and 72 °C for 30 s, plus a final extension at 72 °C for 10 min. The PCR products were run on a MegaBace 750-GE capillary sequencer using ET 550-R MegaBace (GE) as the internal size standard. MegaBace Fragment Profiler 1.2 software was used for allele identification.

The mtDNA pattern of the samples from the apiaries and DCAs was identified through DraI restriction patterns of the COI-COII intergenic region for the former, and DraI restriction patterns of the 16S fragment for the latter, respectively. The polymerase chain reaction (PCR) was carried out according to Garnery et al. (1992) for COI-COII, and digestion with DraI enzyme to Collet et al. (2006). Amplification and restriction of the 16S fragment was undertaken according to Collet et al. (2007).

Data analysis

The number of alleles per locus (n) and expected heterozygozity (He) were estimated with GENEPOP v3.4 software (Raymond and Rousset, 1995). We used either Fstat v2.9.3 software (Goudet, 2001) to calculate pairwise Fst values and their significant deviation from zero, as well as allelic richness (ar), or the sum of the number of alleles actually observed in each population when considering differences in sample size. In order to reveal whether there is genetic structure encompassing the data set, molecular variance analysis (AMOVA) was undertaken with Arlequin v2000 software (Schneider et al., 2000). The same program was used to assess hierarchical multi-loci AMOVA. Variance was then partitioned into variance components and distributed among the groups (HC + T4, T6, T7, S1 + CM2, CM3), and among and within DCAs.

Colony v1.3 software (Wang, 2004) was used for estimating the number of colonies contributing drones to a given DCA. Five replicate analyses were performed with different seed numbers to calculate the number of colonies.

 

Results

The number of alleles, allelic richness and genetic diversity of the DCAs and apiaries appear in Table 1. The number of alleles ranged from 5 (A24) to 17 (A14), with an average of 11.15 ± 2.2 alleles per locus for DCAs and 11.03 ± 2.4 for the apiaries. We found an average allelic richness of 7.9 ± 1.3 alleles per locus for the DCAs and 8.3 ± 1.5 for the apiaries.

Each drone sampled had its mtDNA origin assessed through DraI restriction patterns of the 16S fragment. The DCA T7 and HC showed one and two drones, respectively, with a European pattern (carnica/ligustica) while all the remaining drones (n = 407) exhibited an African pattern. DraI restriction patterns of the COI-COII mtDNA region permitted classifying the samples from apiaries located near the DCAs as either European (E), Africanized (A) or mixed (E/A) (Table 2).

 

 

No significant difference (Fst = 0.0025) was found between samples of the DCA CM2 collected during two consecutive days in two different periods. Due to the genetic homogeneity, CM2 was considered as a single unit for further analyses.

The DCA spatial pattern was reflected at the genetic level. Hierarchical AMOVA revealed that the greatest variation (99.9%) occurred among individuals within the DCAs themselves (Table 3). As a consequence, the six DCAs at Eldorado do Sul, closely distributed along ~5 km, did not show any population sub-structuring. The pairwise comparison also showed a low differentiation among most of the DCAs and apiaries with European-derived colonies (Figure 1 and Table 4). As expected, Hans Cremer and Casa-mel apiaries showed the greatest differentiation to the DCAs sampled (Table 4).

 

 

 

 

Based on genotypic data, we estimated the number of colonies contributing drones to each DCA as: T4-17.8 ± 0.45; T6-26.2 ± 0.84; T7-26; S1-8; CM2-58 ± 1.23; CM3-13; HC - 21.2 ± 0.45. Since the Fst values revealed low levels of differentiation, we considered all DCAs as constituting a single unit, in order to estimate the number of drone-contributing colonies. The total number of colonies was 100.6 ± 1.34 (mean ± SD), thus proving that DCAs are constituted of poorly related drones of multi-colonial origin. The distribution of drones over the colonies followed a normal distribution (Wilks Shapiro Normality Test, W = 0.91; p > 0.1), ranging from one to eight contributed drones per colony, without any sign of skewed distribution or over-representation from any single colony (Figure 2).

 

 

Discussion

Drones from the Africanized DCAs showed a higher number of alleles and gene diversity in comparison to a DCA from Germany (A. m. carnica) studied by Baudry et al. (1998) (Table 5). Higher gene variation, expressed as the expected heterozygosity, was found in the Africanized DCAs. African populations are significantly more variable than European, this having been interpreted as a consequence of the higher density of colonies and higher migratory ability of African subspecies when compared to the Europeans (Estoup et al., 1995; Franck et al., 1998). Moreover, Africanized honeybees are hybrid populations. Thus, a higher degree of genetic variation due to the contribution of some European and African alleles to the gene pool of the hybrid Africanized bee would be expected.

 

 

The most frequent alleles found in European populations (Estoup et al. 1995, Franck et al. 1998) are also the most frequent among Brazilian DCAs. This can be interpreted as either a significant European contribution to Africanized populations, or that these alleles are not efficient racial markers, since they are shared by the subspecies involved in the Africanization process. The latter interpretation seems to be more feasible, as allozymic (Lobo et al., 1989; Del Lama et al., 1990), mtDNA (Smith et al., 1989; Clarke et al., 2001; Collet et al., 2006) and morphometric data (Diniz-Filho and Malaspina, 1995) all indicate a very high proportion of A. m. scutellata genes in Africanized honeybees.

No significant differences were found between samples of the DCA CM2 collected during two different periods. This finding is in accordance with previous observations that honeybees from European-derived or Africanized colonies do not present flight-activity at different periods in Neotropical regions (Cristino AS, unpublished results).

In Brazil, we found a higher variation in the number of drones contributed by a colony to a DCA, following a normal distribution. In contrast, most colonies in European DCAs (75%) contribute with the same number of drones, following a Poisson distribution (Baudry et al., 1998). This differential contribution in Africanized colonies could be explained by differences in colony drone production due to genetic differences. The different ability for drone-production in the first African swarms would result in strong selection pressure, and therefore must have increased the differential drone contribution of African and European colonies to DCAs. Certainly, this was not the sole factor to determine the observed degree of mixture that tends towards African mitotypes. To address this question properly, it would be necessary to account for the additive genetic variability linked to drone production in Africanized colonies, this being an important trait to be worked by artificial selection.

Three out of the 410 drones analyzed showed the carnica/ligustica mtDNA pattern. The under-representation of European drones in a DCA was particularly evident in DCA HC, located 500 m from the Hans Cremer apiary (Figure 1 and Table 3), with colonies aggregating a large number of drones. This apiary was initially constituted of 40 carnica queens brought from Europe, the maternal lineage having been maintained through the production of new carnica queens. This result did not confirm the statement that drones choose the nearest DCA and that this choice boosts the genetic representation of local colonies (Koeniger et al., 2005a).

The distribution of maternal nuclear alleles in each DCA and its closest apiary was not significantly different. These observations are consistent only if we consider that males copulating with a queen are a representative sample of the local bee population. The high number of colonies represented in a drone congregation makes mating between a queen and one of her brothers unlikely. If many colonies contribute equally to the DCA, a queen has an equal chance of insemination by a male from each colony within the recruitment area of a DCA. This results in low average relatedness between a queen's mates, thereby avoiding high inbreeding and homozigosis at the csd locus (Beye et al., 2003; Beye, 2004) for her progeny, and consequently preventing the production of diploid drones, so avoiding a possible, heavy genetic load for the colony. Thus, high polyandry associated with the composition of drone congregations ensure very high intra-colony gene variation, thereby resulting in an efficient panmitic system.

The estimated number of colonies contributing with drones to the DCAs was much lower, when compared to the number presented by Baudry et al. (1998) for a carnica DCA. This result can be explained by the lower number of microsatellite loci used in this study, thereby decreasing the chances of detecting the number of families of brothers in each DCA. However, the most likely explanation for this result must be the distinct process by which DCAs are formed in Europe/USA and Brazil. Whereas DCAs are well defined and in small number in Europe and the USA, in Brazil they seem to be more continuously distributed. At least eight DCAs were identified in a study carried out in an area with a radius of three kilometers in Ribeirão Preto (São Paulo State, Brazil) (Martinez-Carantón OA and Soares AEE, unpublished results). Moreover, while in Europe the colonies are concentrated in apiaries and only a few feral swarms are found, in Brazil the number of feral swarms is high. Therefore, if a higher number of areas exist, one could expect a lower number of drones per DCA in Brazil and, as a consequence, a lower number of contributing colonies.

The major results of this study are the low genetic differentiation among the DCAs, the genetic similarity between workers of commercial apiaries and DCAs formed nearby, and the small contribution of a European apiary to a DCA formed nearby. The lack of genetic differentiation in the studied DCAs was also observed in samples of apiaries from 43 localities from northern to southern Brazil for twelve microsatellite loci (unpublished data). The homogeneous genetic composition of the DCAs showed on a micro-scale what happens on a macro-scale, i.e., the homogeneous genetic conditions of Brazilian Africanized bee populations. Considering that 26 scutellata queens colonized much of the Americas and largely replaced European bees throughout their range in the New World, it is very impressive how this founder effect produced what has been considered one of the prime examples of a successful biological invasion known.

 

Acknowledgments

We gratefully acknowledge to FAPESP (2000/07996-4; 2003/06342-9), CAPES and CNPq for financial support.

 

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Internet Resources

Goudet J (2001) FSTAT, a program to estimate and test gene diversities and fixation indices Version 2.9.3. Available from http://www2.unil.ch/popgen/softwares/fstat.htm.         [ Links ]

 

 

Send correspondence to:
Marco Antonio Del Lama
Departamento de Genética e Evolução
Universidade Federal de São Carlos
Rodovia Washington Luis km 235
13565.905, São Carlos, SP, Brazil
E-mail: dmdl@ufscar.br

Received: February 13, 2009; Accepted: June 24, 2009.

 

 

Associate Editor: Louis Bernard Klaczko