Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruziicomplex using a multilocus approach
© Rona et al; licensee BioMed Central Ltd. 2010
Received: 5 October 2009
Accepted: 31 March 2010
Published: 31 March 2010
Anopheles cruzii is the primary human Plasmodium vector in southern and southeastern Brazil. The distribution of this mosquito follows the coast of the Brazilian Atlantic Forest. Previous studies indicated that An. cruzii is a complex of cryptic species.
A multilocus approach using six loci, three circadian clock genes and three encoding ribosomal proteins, was implemented to investigate in more detail the genetic differentiation between the An. cruzii populations from Santa Catarina (southern Brazil) and Bahia States (northeastern Brazil) that represent two sibling species. The analysis revealed very high F ST values and fixed differences between the two An. cruzii sibling species in all loci, irrespective of their function. An Isolation with Migration model was fit to the data using the IM program. The results reveal no migration in either direction and allowed a rough estimate of the divergence time between the two sibling species.
Population genetics analysis of An. cruzii samples from two Brazilian localities using a multilocus approach confirmed that they represent two different sibling species in this complex. The results suggest that the two species have not exchanged migrants since their separation and that they possibly diverged between 1.1 and 3.6 million years ago, a period of intense climatic changes.
Anopheles cruzii (Diptera: Culicidae) is the primary vector of human and simian malaria parasites in southern and southeastern Brazil [1, 2]. Earlier studies that evaluated X chromosome inversion frequencies [3, 4] and isoenzyme profiles  suggest that Anopheles cruzii is a species complex. A recent analysis of genetic differentiation using the timeless gene among An. cruzii populations from southern, southeastern and northeastern Brazil indicated that the population from Itaparica, Bahia State (northeastern Brazil) is a different species .
In the current study, a multilocus analysis using six different nuclear gene fragments was performed comparing two populations of An. cruzii (Florianópolis and Itaparica), representing respectively the southeastern and northeastern sibling species. Three of the fragments used are orthologues of Drosophila melanogaster genes involved in the control of circadian rhythms: timeless (tim), Clock (Clk) and cycle (cyc); and three code for ribosomal proteins: Rp49 (Ribosomal protein 49, known also as RpL32 - Ribosomal protein L32), RpS2 (Ribosomal protein S2) and RpS29 (Ribosomal protein S29).
The aim of the study was to determine if there is still gene flow between the two sibling species and to estimate their divergence time. Furthermore, circadian genes  putatively involved in the control of mating rhythms , such as timeless, Clock and cycle, are potentially important in maintaining temporal reproductive isolation between closely related species. Based on that, this study also aimed to verify whether the differentiation in circadian genes is higher than the divergence in constitutive loci, such as the ribosomal protein genes Rp49, RpS29 and RpS2.
Polymorphism and divergence between Florianópolis and Itaparica
NR blocks and sequences excluded from the IM analysis.
124 -- 381
Flo31a, Flo31b, Flo32b, Flo35a, Flo35b, Flo36b, Flo37a, Flo39a, Flo40a
1 -- 154
Bah02b, Bah03a, Bah03b, Flo08a, Flo12a, Flo16b
36 -- 131
Flo06a, Flo18a, Flo18b
47 -- 269
Flo06a, Flo06b, Flo09b
1 -- 266
36 -- 274
Bah31b, Flo07b, Flo09b, Flo12a
Polymorphisms of An. cruzii sibling species from Florianópolis and Itaparica
Table 2 also shows the minimum number of recombination events for each gene (RM) and the length of the whole fragment and for the NR block of each gene (values in parentheses). The larger differences in length between the whole fragment and the NR block were observed for timeless and cycle and this was due to the higher number of recombination events identified in these two genes (RM = 14 and 5 respectively). The alignments of the whole sequences of each gene are presented in Additional files 1, 2, 3, 4, 5 and 6. All loci include at least one intron of variable size, except the cycle gene fragment, which was composed entirely of an exon. Except for the timeless gene, all base substitutions were synonymous or occurred within introns. The few non-synonymous changes found in the timeless gene are described in Rona et al. .
Genetic differentiation between Florianópolis and Itaparica.
P (F ST )
Estimation of Demographic Population Parameters
The IM program was used to simultaneously estimate six demographic parameters (θ1, θ2, θ A , t, m1, m2) from the two An. cruzii sibling species through an "Isolation with Migration" model using multiple loci . As mentioned above, only the NR blocks were used and some recombining sequences were removed before the IM analysis (Table 1).
The estimates of θ suggest that the effective population size of the ancestral population is smaller than the current Florianópolis and Itaparica populations indicating that both may have had a history of growth since separation (Figure 1). The migration rates in both directions for all combined loci were also estimated by the IM software (m1 and m2). No indication of migration was found in either direction in the multiple simulations.
The divergence time parameter was estimated for all combined loci in four different IM runs. This parameter cannot be directly converted to years because the mutation rates in Anopheles cruzii species are unknown. Therefore, an estimate of the divergence time between Anopheles cruzii species was performed using the average of Drosophila synonymous and nonsynonymous substitution rates for several nuclear genes (0.0156 and 0.00191 per site per million year respectively) . Using this approach and based on the average of HiSmth values, an estimate of the divergence time between Florianópolis and Itaparica would be approximately 2.4 Mya (range from 1.1 to 3.6 Mya, based on the average of HPD90Lo and HPD90Hi values).
Another manner of estimating the divergence time between these two Anopheles species is to use the same Drosophila synonymous substitution rate mentioned above and the average Da values from the six loci (Table 3). Based on these values, the divergence time between the populations from Florianópolis and Itaparica was estimated to be 1.91 ± 0.76 Mya and 1.93 ± 0.65 Mya for the whole sequence and NR blocks, respectively.
Less differentiation might have been expected in the three genes that code for the highly conserved ribosomal proteins (Rp49, RpS29 and RpS2) than in loci possibly involved in the control of mating rhythms (timeless, Clock and cycle) [7, 8]. The latter three genes are potentially important in maintaining temporal reproductive isolation between closely related species, and might be involved in the speciation process in some insects. In fact, Rona et al.  showed very high differentiation between Itaparica and the more southern Brazilian populations, including Florianópolis, using the timeless gene as a molecular marker.
However, very high F ST values were detected in all loci between these two sibling species and they were even higher for Rp49, RpS29 and RpS2 (0.8854, 0.8865 and 0.8502, respectively for the whole fragment) than for timeless, Clock and cycle (0.8150, 0.7088 and 0.5806, respectively for the whole fragment). Mazzoni et al.  found similar results in a multilocus analysis between two sand fly vectors of leishmaniasis.
No indication of migration was found in either direction in the multiple IM simulations, which was consistent with the very high differentiation values for all loci. Itaparica also presented lower levels of variability than those from Florianópolis, possibly indicating a smaller population size. This is confirmed by IM results, which also indicated a smaller effective population size for Itaparica. The estimated difference in population sizes seems coherent, since the southern An. cruzii sibling species found in Florianópolis is distributed throughout most of the southern and southeastern Brazilian Atlantic Forest (from Santa Catarina to Espírito Santo State) while the northeastern sibling species found in Itaparica seems to occur only in a more restricted region .
The multilocus results corroborate previous data [5, 6] indicating that these populations represent two different species in the An. cruzii complex. This was also confirmed by NJ trees, which show that Florianópolis and Itaparica are clearly separated in two isolated groups, except perhaps in the case of cycle which suggests persistence of ancestral polymorphisms in Florianópolis. However, this gene fragment presents a very small number of variable sites in the Itaparica sample.
The estimated divergence time from 1.1 to 3.6 Mya, based on the IM results, corresponds to the end of the Pliocene and beginning of the Pleistocene . Significant climate changes, including the onset of heavy Northern Hemisphere glaciation, around 2.75 Mya, occurred at the end of the Pliocene . A very important consequence of this cooling was an extensive increase in aridification, which lead to fragmentation of forests, including the Brazilian Atlantic Forest [18, 19]. Interestingly, Carnaval et al.  discussed the hypothesis of refugia for neotropical species occurring in the Atlantic Forest. Itaparica is located in an area proposed to be a large central refugium in the Brazilian Atlantic Forest and another refugium is proposed in the southern and southeastern Brazil. Climate changes have been proposed to explain the differentiation among many groups such as fruit flies , insect vectors  as well as many forest-obligate species [20, 23–25]. Since An. cruzii is endemic to the Atlantic Forest, it seems likely that differentiation between its populations might have occurred due to forest fragmentation, which might have split a single ancestral species into two or more isolated groups.
The results of the multilocus analysis corroborate previous data indicating that Florianópolis and Itaparica represent two different species of the An. cruzii complex and suggest that they have not exchanged migrants since their separation between 1.1 and 3.6 Mya.
The mosquitoes used in this study were females captured in Florianópolis, Santa Catarina State (SC) (27°31'S/48°30'W) and Itaparica Island (Jaguaripe), Bahia State (BA) (13°05'S/38°48'W). They were identified on the basis of their morphology according to Consoli and Lourenço-de-Oliveira . For the molecular analysis, 12 individuals from Florianópolis and 12 to 14 from Itaparica were used for each gene.
The sequences of the timeless gene from Florianópolis and Itaparica were those previously published by our group  (Accession numbers: FJ408732 - FJ408865). The sequences of the other genes were obtained by PCR, cloning and sequencing as described below.
Sequence of primers used to amplify the gene fragments
Sequence of primers
At least eight clones were sequenced for each mosquito. Sequences were edited and in most cases consensus sequences representing the two alleles were generated. In a number of individuals only one haplotype was observed among the eight sequences and in these cases mosquitoes were classified as homozygotes. The probability of incorrectly classifying a heterozygote as a homozygote individual with this procedure is less than 1%. The sequences from homozygote mosquitoes were duplicated prior to analysis. However, when carried out without duplicating homozygote sequences, the analysis rendered similar results. Sequences were submitted to GenBank (Accession numbers: GU016330-GU016569).
DNA sequence analysis
The Modeltest version 3.7  was used with a model block implemented in PAUP 4.0d105  to find the most suitable model for each gene evolution. Models selected by the Bayesian Information Criterion (BIC) were favored and used in the phylogenetic analysis, carried out using MEGA 4.0 .
The IM program is an implementation of the Isolation with Migration model and is based on the MCMC (Markov Chain Monte Carlo) simulations of genealogies [11, 34]. It simultaneously estimates six demographic parameters from multilocus data: effective population size for an ancestral and two descendent populations (θA, θ1, and θ2, respectively), divergence time (t) and migration parameters in both directions (m1 and m2). Initial IM runs were performed in order to establish appropriate upper limits for the priors of each demographic parameter. These preliminary simulations generated marginal distributions that facilitated the choice of parameter values used in the final IM analyses. The convergence was assessed through multiple long runs (four independent MCMC runs with different seed numbers were carried out with at least 30,000,000 recorded steps after a burn-in of 100,000 steps) and by monitoring the ESS values, the update acceptance rates and the trend lines.
The Infinite Sites model  was chosen as the mutation model in the IM simulations because the two species are closely related and all genes are nuclear.
The authors are indebted to Robson Costa da Silva for his technical assistance and to PDTIS-FIOCRUZ for use of its DNA sequencing facility. This work was supported by grants from the Howard Hughes Medical Institute, FIOCRUZ, FAPERJ and CNPq.
- Deane LM, Ferreira-Neto JA, Deane SP, Silveira IP: Anopheles (Kerteszia) cruzii, a natural vector of the monkey malaria parasites, Plasmodium simium and Plamodium brasilianum. Trans R Soc Trop Med Hyg. 1970, 64: 647-10.1016/0035-9203(70)90088-X.View ArticlePubMedGoogle Scholar
- Rachou RG: Anofelinos do Brasil: Comportamento das espécies vetoras de malária. Rev Bras Malariol Doencas Trop. 1958, 10: 145-181.Google Scholar
- Ramirez CC, Dessen EM: Chromosomal evidence for sibling species of the malaria vector Anopheles cruzii. Genome. 2000, 43: 143-151. 10.1139/gen-43-1-143.View ArticlePubMedGoogle Scholar
- Ramirez CC, Dessen EM: Chromosome differentiated populations of Anopheles cruzii: evidence for a third sibling species. Genetica. 2000, 108: 73-80. 10.1023/A:1004020904877.View ArticlePubMedGoogle Scholar
- Carvalho-Pinto CJ, Lourenço-de-Oliveira R: Isoenzymatic analysis of four Anopheles (Kerteszia) cruzii (Diptera: Culicidae) populations of Brazil. Mem Inst Oswaldo Cruz. 2004, 99: 471-475. 10.1590/S0074-02762004000500002.View ArticlePubMedGoogle Scholar
- Rona LD, Carvalho-Pinto CJ, Gentile C, Grisard EC, Peixoto AA: Assessing the molecular divergence between Anopheles (Kerteszia) cruzii populations from Brazil using the timeless gene: Further evidence of a species complex. Malar J. 2009, 8: 60-10.1186/1475-2875-8-60.PubMed CentralView ArticlePubMedGoogle Scholar
- Hardin PE: The Circadian Timekeeping System of Drosophila. Curr Biol. 2005, 15: 714-722. 10.1016/j.cub.2005.08.019.View ArticleGoogle Scholar
- Sakai T, Ishida N: Circadian rhythms of female mating activity governed by clock genes in Drosophila. Proc Natl Acad Sci. 2001, 98: 9221-9225. 10.1073/pnas.151443298.PubMed CentralView ArticlePubMedGoogle Scholar
- Tajima F: Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989, 123: 585-595.PubMed CentralPubMedGoogle Scholar
- Fu YX, Li WH: Statistical tests of neutrality of mutations. Genetics. 1993, 133: 693-709.PubMed CentralPubMedGoogle Scholar
- Hey J, Nielsen R: Multilocus methods for estimating population sizes, migration rates and divergence time, with applications to the divergence of Drosophila pseudoobscura and D. persimilis. Genetics. 2004, 167: 747-760. 10.1534/genetics.103.024182.PubMed CentralView ArticlePubMedGoogle Scholar
- Li WH: Molecular Evolution. 1997, Sunderland: Sinauer AssociatesGoogle Scholar
- Posada D, Crandall KA: Modeltest: testing the model of DNA substitution. Bioinformatics. 1998, 14: 817-818. 10.1093/bioinformatics/14.9.817.View ArticlePubMedGoogle Scholar
- Kimura M: A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980, 16: 111-120. 10.1007/BF01731581.View ArticlePubMedGoogle Scholar
- Jukes TH, Cantor CR: Evolution of protein molecules. Mammalian Protein Metabolism. Edited by: Munro HN, Allison JB. 1969, New York: Academic Press, 21-132.View ArticleGoogle Scholar
- Mazzoni CJ, Araki AS, Ferreira GE, Azevedo RV, Barbujani G, Peixoto AA: Multilocus analysis of introgression between two sand fly vectors of leishmaniasis. BMC Evol Biol. 2008, 8: 141-10.1186/1471-2148-8-141.PubMed CentralView ArticlePubMedGoogle Scholar
- Cantolla AU: Earth's Climate History. 2003, Servicio Central de Publicaciones del Gobierno Vasco, [http://homepage.mac.com/uriarte/historia.html]Google Scholar
- Ravelo AC, Andreasen DH, Lyle M, Olivarez Lyle A, Wara MW: Regional climate shifts caused by gradual global cooling in the Pliocene epoch. Nature. 2004, 429: 263-267. 10.1038/nature02567.View ArticlePubMedGoogle Scholar
- Vasconcelos PM, Becker TA, Renne PR, Brimhall GH: Age and duration of weathering by 40K-40Ar and 40Ar/39Ar analysis of potassium-manganese oxides. Science. 1992, 258: 451-455. 10.1126/science.258.5081.451.View ArticlePubMedGoogle Scholar
- Carnaval AC, Hickerson MJ, Haddad CF, Rodrigues MT, Moritz C: Stability predicts genetic diversity in the Brazilian Atlantic forest hotspot. Science. 2009, 323: 785-789. 10.1126/science.1166955.View ArticlePubMedGoogle Scholar
- Tamura K, Subramanian S, Kumar S: Temporal Patterns of Fruit Fly (Drosophila) Evolution Revealed by Mutation Clocks. Mol Biol Evol. 2004, 21: 36-44. 10.1093/molbev/msg236.View ArticlePubMedGoogle Scholar
- Conn JE, Mirabello L: The biogeography and population genetics of neotropical vector species. Heredity. 2007, 99: 245-56. 10.1038/sj.hdy.6801002.View ArticlePubMedGoogle Scholar
- Marroig G, Cropp S, Cheverud JM: Systematics and evolution of the Jacchus group of marmosets (Platyrrhini). Am J Phys Anthropol. 2004, 123: 11-22. 10.1002/ajpa.10146.View ArticlePubMedGoogle Scholar
- Grazziotin FG, Monzel M, Echeverrigaray S, Bonatto SL: Phylogeography of the Bothrops jararaca complex (Serpentes: Viperidae): past fragmentation and island colonization in the Brazilian Atlantic Forest. Mol Ecol. 2006, 15: 3969-3982. 10.1111/j.1365-294X.2006.03057.x.View ArticlePubMedGoogle Scholar
- Pedro PM, Sallum MA, Butlin RK: Forest-obligate Sabethes mosquitoes suggest palaeoecological perturbations. Heredity. 2008, 101: 186-195. 10.1038/hdy.2008.45.View ArticlePubMedGoogle Scholar
- Consoli RAGB, Lourenço-de-Oliveira R: Principais mosquitos de importância sanitária no Brasil. 1994, Rio de Janeiro: FiocruzGoogle Scholar
- Jowett T: Preparation of nucleic acids. Drosophila, A Practical Approach. Edited by: Roberts DB. 1998, Oxford: IRL press, 347-371.Google Scholar
- GenBank database. [http://www.ncbi.nlm.nih.gov/BLAST/]
- Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG: The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res. 1997, 25: 4876-4882. 10.1093/nar/25.24.4876.PubMed CentralView ArticlePubMedGoogle Scholar
- Rozas J, Sánchez-DelBarrio JC, Messeguer X, Rozas R: DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics. 2003, 19: 2496-2497. 10.1093/bioinformatics/btg359.View ArticlePubMedGoogle Scholar
- Filatov DA, Charlesworth D: DNA polimorphism, haplotype structure and balancing selection in the Leavenworthia PgiC locus. Genetics. 1999, 153: 1423-1434.PubMed CentralPubMedGoogle Scholar
- Swofford DL: PAUP*. Phylogenetic Analysis Using Parsimony (*and Other Methods). Version 4.0d105. 2002, Sunderland: Sinauer Associates. Massachusetts, [http://paup.csit.fsu.edu/]Google Scholar
- Tamura K, Dudley J, Nei M, Kumar S: MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol. 2007, 24: 1596-1599. 10.1093/molbev/msm092.View ArticlePubMedGoogle Scholar
- Hey Lab Distributed Software: EvolutionaryGenetics; IM(2009). [http://lifesci.rutgers.edu/~heylab/HeylabSoftware.htm#IM]
- Kimura M: The number of heterozygous nucleotide sites maintained in a finite population due to steady flux of mutations. Genetics. 1969, 61: 893-903.PubMed CentralPubMedGoogle Scholar
- Hammer lab, IMGC Online. [http://hammerlab.biosci.arizona.edu/imgc_online.html]
- Woerner AE, Cox MP, Hammer MF: Recombination-filtered genomic datasets by information maximization. Bioinformatics. 2007, 23: 1851-1853. 10.1093/bioinformatics/btm253.View ArticlePubMedGoogle Scholar
- Nei M, Kumar S: Molecular Evolution and Phylogenetics. 2000, New York: Oxford University PressGoogle Scholar
- Meireles-Filho AC, Amoretty PR, Souza NA, Kyriacou CP, Peixoto AA: Rhythmic expression of the cycle gene in a hematophagous insect vector. BMC Mol Biol. 2006, 7: 38-10.1186/1471-2199-7-38.PubMed CentralView ArticlePubMedGoogle Scholar
- Gentile C, Lima JB, Peixoto AA: Isolation of a fragment homologous to the rp49 constitutive gene of Drosophila in the Neotropical malaria vector Anopheles aquasalis (Diptera: Culicidae). Mem Inst Oswaldo Cruz. 2005, 100: 545-547. 10.1590/S0074-02762005000600008.View ArticlePubMedGoogle Scholar
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