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Print version ISSN 0074-0276On-line version ISSN 1678-8060
Mem. Inst. Oswaldo Cruz vol.96 no.3 Rio de Janeiro Apr. 2001
Vol. 96(3) : 407-413, April 2001
Andrea M Macedo/+, Juliana R Pimenta, Renato S de Aguiar, Anna Izabel R Melo, Egler Chiari*, Bianca Zingales**, Sérgio DJ Pena, Riva P Oliveira***
Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas *Departamento de Parasitologia, Universidade Federal de Minas Gerais, Caixa Postal 486, 30161-970 Belo Horizonte, MG, Brasil **Instituto de Química, Universidade de São Paulo, São Paulo, SP, Brasil ***Departamento de Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG, Brasil
Through microsatellite analysis of 53 monoclonal populations of Trypanosoma cruzi, we found a remarkable degree of genetic polymorphism with no single multilocus genotype being observed more than once. The microsatellite profile proved to be stable during 70 generations of the CL Brener clone in culture. The microsatellite profiling presented also high diagnostic sensitivity since DNA amplifications could be achieved with less than 100 fg DNA, corresponding to half parasite total DNA content. Based on these technical attributes the microsatellite assay turns out to be an important tool for direct typing T. cruzi in biological samples. By using this approach we were able to type T. cruzi in feces of artificially infected bugs and in single cells sorted by FACS. The microsatellites have shown to be excellent markers for T. cruzi phylogenetic reconstruction. We used maximum parsimony based on the minimum number of mutational steps to build an unrooted Wagner network, which confirms previous conclusions based on the analysis of the D7 domain of the LSU rDNA gene that T. cruzi is composed by two major groups. We also obtained evidence that strains belonging to rRNA group 2 are subdivided into two genetically distant clusters, and that one of these clusters is more related to rRNA group 1/2. These results suggest different origins for these strains.
Key words: Trypanosoma cruzi - microsatellites - genetic typing - rDNA classification - phylogenetic inference
Chagas disease caused by the protozoan Trypanosoma cruzi exhibits distinct clinical manifestations, taking an asymptomatic indeterminate course or evolving as chronic cardiomyopathy and/or gastrointestinal pathology. It is believed that such clinical pleotropism is the product of a complex interaction of environmental and genetic factors from both host and parasite (reviewed Macedo & Pena 1998). Despite the great clinical variability, studies based on rRNA and mini-exon gene sequence and RAPD markers have indicated a clear division of T. cruzi into two major lineages presenting a high phylogenetic divergence (Souto et al. 1996, Zingales et al. 1998). The division of T. cruzi into two major phylogenetic lineages has been officially recognized and they were named T. cruzi I and T. cruzi II (Momen 1999). The existence of the two groups is now well established on the basis of biological, epidemiological, biochemical and molecular data (revised in Zingales et al. 1999). However, the significance of these divisions is still under debate (Brisse et al. 1998, Souto et al. 1998, Macedo & Pena 1998). In order to try to understand the significance of the two major lineages, the parasite should be studied with genetic markers presenting distinct rates of molecular evolution.
In 1998, we described the first eight polymorphic microsatellite loci with cytosine-adenine (CA) repeats in the T. cruzi genome (Oliveira et al. 1998). Preliminary studies on these microsatellite loci have provided valuable information about the structure of T. cruzi populations (Oliveira et al. 1998, 1999).
In this work we evaluate the sensitivity and stability of microsatellite profiles under laboratory conditions and investigate their application in T. cruzi profiling directly in biological samples as well in phylogenetic analysis.
Parasites - T. cruzi stocks were obtained from the Laboratório de Biologia do Trypanosoma cruzi (Departamento de Parasitologia, UFMG, Brazil) and from the Centre d'Etudes sur le Polymorphisme des Microoganismes (Montpellier, France) (Table). Epimastigote forms were grown in LIT (liver infusion tryptose) medium and DNA preparations were obtained following extractions with phenol-chloroform as previously described (Macedo et al. 1992).
Microsatellite assay - T. cruzi stocks were analyzed with the MCLE01, MCLE08, SCLE11, MCLF10, MCLG10 and MCL05 microsatellite loci or, alternatively, with single microsatellite locus, the SCLE10. Amplification was achieved as described earlier by Oliveira et al. (1998). After PCR, the amplified microsatellites were loaded on a 6% denaturing polyacrylamide gel and analyzed on an ALF sequencer (Pharmacia) using the Allelinks software. To determinate the allele size the samples were directly compared with band sizes from an allelic ladder prepared by amplification of an artificial mixture of DNA from 60 T. cruzi strains.
Microsatellite stability - The stability of microsatellites was investigated in samples of CL Brener clone obtained after 10, 20, 30, 40, 50, 60 and 70 generations of subcultivation in LIT medium. The initial inoculum of each passage was of 20-25 x 106 parasite/ml and the doubling time of the cultures was calculated as 58 ± 13 hs (Zingales et al. 1997). DNA from 3 x 108 parasites from each generation above-indicated was extracted and stored at -70oC until used. Aliquots containing 1 ng of parasite DNA were submitted to PCR for all microsatellite loci.
Vector intestinal analyses - The third-instar nymphs of Rhodnius neglectus or Dipetalogaster maximus were simultaneously infected with bloodstream trypomastigotes from four monoclonal strains of T. cruzi (JG strain, Col1.7G2 clone, CL Brener clone and PNM strain) in concentration 50 cells/ml of each population (Azambuja & Garcia 1997). Sixty days after the repast, the entire intestinal tract was removed by centrifugation as described by Garcia and Azambuja (1997) and collected in 0.85% NaCl solution. After treatment with 6M guanidine, 0.2M EDTA, pH 8.0 (1:1), total DNA was obtained by sequential extraction with equal volumes of phenol/chloroform and chloroform, followed by 3M sodium acetate-pH 5.2 and ethanol precipitation (Gomes et al. 1998). Further DNA purification was performed by using Geneclean II Kit (Bio 101 Inc.) to remove PCR inhibitors. Aliquots of 1/10 dilutions were typed by PCR of the SCLE10 microsatellite locus.
Single cell analyses - For single parasite sorting an artificial mixture of two monoclonal population of T. cruzi (Rosa and MLBM strains) was submitted to the Clone Cyt apparatus from the FACS Vantage (Becton Dickinson). An aliquot of fixed cells on 50% Master Facs Fix (Becton Dickinson) and 50% PBS was applied to the FACS apparatus and diluted in PBS until 300 events/sec. The procedure for cell cloning was performed using the program Clone Cyt according to the manufacturer. Assorted cells were collected into microtiter plates containing 5 ml of water. After adding mineral oil in each well, the microtiter plate was heated at 80oC for 20 min for cell lysis and then submitted to SCLE10 microsatellite PCR.
rRNA 24Sa gene amplification - Amplification of the D7 divergent domain of the 24Sa rRNA gene was achieved by PCR with D71 and D72 primers following protocols described previously (Souto et al. 1996). Within individual isolates, one of the three amplification products was observed: a 125-bp fragment (defining group 1 - isolates); a 110-bp fragment (group 2 - isolates) and both fragments (group ½ - isolates) (Souto et al. 1996).
Phylogenetic inference - As previously described (Oliveira et al. 1998, 1999) to make phylogenetic inferences, we assumed a stepwise mutation model for the microsatellites. As a measure of genetic distance between any two strains we used the minimum number of mutational steps necessary to transform one into the other. The microsatellite multilocus genotypes were transformed into binary characters using the FACTOR program from the PHYLIP package version 3.57c (Felsenstein 1993). These data were then used to construct unrooted Wagner parsimony trees using the MIX program also from the PHYLIP package. The significance levels of the branching in the Wagner network were achieved by bootstrapping (1,000 reiterations) using the program SEQBOOT from the PHYLIP software package.
Genetic variability, stability and sensitivity of T. cruzi microsatellite assay - In this work we have chosen 53 monoclonal populations (see Table) among 72 T. cruzi isolates that have been typed before by microsatellite markers (Oliveira et al. 1999). The hipervariability previously described for T. cruzi microsatellite loci was confirmed in this expanded analysis since no single repeated multilocus genotype was detected among the analyzed samples.
The stability of the microsatellite loci was analyzed in samples of CL Brener clone obtained from sequential subcultivation in LIT medium. No changes in the microsatellite profiles were observed up to 70 generations of growing (Fig. 1). This suggests that despite of the high degree of genetic variability observed among natural T. cruzi populations, the microsatellites present satisfactory stability under laboratory conditions that indicate their use as genetic markers for these parasites.
The sensitivity of parasite detection by the microsatellite assay was also examined. After 35 cycles of PCR amplification, the minimum amount of template DNA required for visualizing the allele products by silver staining varied from 10 to 100 fg depending on the microsatellite locus analyzed (data not shown).
Microsatellite analysis for T. cruzi profiling - We have investigated the usefulness of the microsatellite analysis for T. cruzi characterization directly in biological samples. For this purpose, specimens of D. maximus and R. neglectus were infected, respectively, with a mixture of three or four monoclonal populations of T. cruzi. Parasites were recovered from the triatomine intestinal tracts 60 days post-infection and the extracted DNA was analyzed for the SCLE10 microsatellite locus. Fig. 2 shows the T. cruzi allele profiles identified in D. maximus feces infected with a mixture of CL Brener + PNM + JG and in R. neglectus feces infected with a mixture of CL Brener + Col1.7G2 + PNM + JG. The data indicate that the assay allows the identification of all T. cruzi population added to the infection mixture. In some R. neglectus specimens we could not detect the presence of the PNM strain. It should be emphasized that positive microsatellite amplification was obtained even in feces samples where microscopic inspection failed to show parasites.
The sensitivity and specificity of the microsatellite assay was also investigated in single cells sorted by FACS. In this experiment two T. cruzi stocks (Rosa and MLBM) were mixed and submitted to FACS apparatus. The cells were collected into microwells and analyzed for microsatellite allele size. In some of the wells the SCLE10 allele corresponding to Rosa or to MLBM strains could be detected (Fig. 3). Both strain alleles were never observed in a unique well as expected for cloned parasites.
T. cruzi phylogenetic relationship - To further evaluate the phylogenetic value of T. cruzi microsatellite markers, we compared microsatellite polymorphism with T. cruzi classification based on the divergent domain D7 of the 24Sa rRNA gene, which corresponds to a more conserved genetic trait. To investigate the phylogenetic relationship among the 53 monoclonal strains we used the multilocus genotype obtained with six microsat-ellite loci to investigate the phylogenetic relationships among them. We used the Wagner parsimony algorithm to obtain one most parsimony unrooted network that is shown in Fig. 4. This analysis shows a clustering tendency of the samples belonging to rRNA group 1 from those stocks typed as group 2 or 1/2. The rRNA group 2 strains are arranged into two major clusters, genetically distant one from each other. Interestingly, one cluster is more related to the strains belonging to rRNA group 1/2.
The disclosure of the T. cruzi microsatellites has provided a new tool for the analysis of the parasite population structure. These DNA markers are extremely polymorphic and dispersed throughout the parasite nuclear genome and constitute a simple mean to determine if a T. cruzi strain is a monoclonal or multiclonal population (Oliveira et al. l998, 1999).
In the present study we demonstrate that besides its technical simplicity and the high resolving power, the microsatellite analysis also presents good stability under laboratory conditions and high detection sensitivity. In fact, we demonstrated conservation of the alleles corresponding to the CL Brener microsatellite loci during 70 generations of continuous subculture of the original clone. It was also concluded that microsatellite amplifications can be obtained with less than 100 fg of parasite DNA, which corresponds to less than half of the parasite genome. These data suggest that microsatellite PCR is suitable for T. cruzi detection in biological samples with low parasite content.
The potentialities of the microsatellite tool were further investigated following two approaches. Firstly, we analyzed the intestinal content of triatomines infected with mixtures of T. cruzi populations. By using microsatellite PCR, we were able to directly profile each T. cruzi population in bug feces, even in samples in which microscopic fresh examination failed to identify the presence of parasites. Secondly, we could type T. cruzi microsat-ellite on single parasites isolated by cell sorting and verify that different wells gave PCR products characteristic of either of the two previously mixed strains. These pilot experiments clearly demonstrate the possibility of sorting and analyzing T. cruzi individual cells opening new perspectives for the T. cruzi population studies. This issue is particularly relevant since occasionally some strains with interesting biological properties cannot be cloned.
We also investigated the usefulness of microsatellite as genetic markers for T. cruzi phylogenetic reconstruction in comparison with the 24Sa rRNA gene polymorphism. The tree topology obtained from microsatellite data from 53 T. cruzi populations clearly indicated clustering of strains belonging to rRNA group 1, group 1/2 and group 2 previously defined by Souto et al. (1996). We obtained evidence that the rRNA group 2 can be further split into two distant subgroups, and that one of these subgroups is more related to group 1/2. This observation suggests that the evolutionary origin of T. cruzi rRNA group 2 is more complex than predicted in previous studies (Souto et al. 1996, Oliveira et al. 1998).
Different hypotheses have being proposed to explain the origin of the major lines of T. cruzi (Souto et al. 1996). One of these hypotheses suggests the independent evolution of rDNA genotypes 1 and 2. The origin of group 1/2 is explained by an eventual rRNA gene transfer from an individual of group 2 to organisms of group 1. Supporting this hypothesis RAPD and mini-exon data have demonstrated that strains belonging to rRNA group 1/2 have a genetic structure closely related to group 1 (Souto et al. 1996). The presence of organisms with rDNA genotype 2 more related to 1/2 could be explained by a subsequent deletion of the rRNA gene type 1 cistron from the individual of group 1/2.
There are still different opinions about the significance of the division of T. cruzi into the two major phylogenetic lineages, but the basis for that is better and better supported by biological, epidemiological, biochemical and molecular data.
It is predicted that microsatellite analyses of natural T. cruzi multiclonal strains will certainly allow the refinement of T. cruzi genetic population studies, which until now have been conducted by comparing different populations instead of individuals. In this direction, our future goal is to achieve the direct genetic typing of T. cruzi in infected host tissues for a better understanding of the pathogenesis of Chagas disease.
To C Barnabé for providing samples used in this study.
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This investigation received financial support from the UNDP/World Bank/WHO Special Program for Research and Trainning in Tropical Diseases, Pronex, Capes, CNPq and Fapesp.
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Received 13 November 2000
Accepted 3 January 2001