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| ABSTRACT |
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| INTRODUCTION |
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The subfamily Triatominae has been the subject of numerous genetic studies to resolve systematic and evolutionary questions.4,5 There is, however, scarce and contradictory information regarding genome size in this group. Genome size describes the nuclear DNA content in picograms per haploid genome and is often called the "C" value. This value has fundamental biologic significance and use for population level and taxonomic studies.6 Genome size data are also required in detailed analyses of genome structure and evolution and for the application of molecular techniques. Knowledge of genome size of a species is essential for assessing genomic library coverage, estimating the copy number of a gene, and for developing gene cloning strategies based on genome mapping. In particular, the choice of future genome sequencing projects will be dependent on knowledge regarding the size of the genomes to be sequenced.7
Genome size data in triatomines have been studied primarily using Feulgen densitometry,8,9 and only more recently using flow cytometry (Table 1
).1012 In this study, we analyze DNA cell content of 13 triatomine species, belonging to five genera, using flow cytometry. The results are compared with those previously reported in the literature for the evaluation of interspecific variation. This analysis provides the first substantial data set for the subfamily Triatominae and highlights some areas of interest for future research regarding this important group of insects.
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| MATERIALS AND METHODS |
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DNA cell content measurements.
The total nuclear DNA content of 13 species was measured from gonadal cells of male specimens (Table 1
). Testes were dissected from live individuals and fixed in ethanol-acetic acid (3:1). Part of the fixed tissue was excised and deposited on excavated glass slides with a few drops of hypotonic DNA-staining buffer (HDSB, containing 0.1% trisodium citrate, 0.1% Triton X-100, 100 µg/mL RNase A, and 50 µg/mL propidium iodide). Tissues were minced using scalpel blades until homogeneous slurries were obtained. These suspensions were filtered through 60-µm nylon mesh and transferred to polypropylene tubes, and the glass slides washed with additional HDSB to a final volume of 2 mL. The suspensions were incubated for 30 minutes at 37°C in the dark with occasional vortexing. After this incubation period, and within a maximum period of 1 hour, measurement of cell DNA content was performed on an EPICS XL-MCL Flow cytometer (Coulter Electronics, Hialeah, FL) with an air-cooled argon-ion laser tuned at 488 nm and 15 mW. Propidium fluorescence (FL3), proportional to DNA content, was collected through a 650-nm DL dichroic filter fitted with a 625-nm BP band-pass filter. Forward and side scatter signals were used for morphologic assessment of the samples. Cell aggregates and coincident cells were excluded by analysis of the relationship between FL3 integral and peak signals. The DNA content in single cells was determined from FL3 linear histograms. The occurrence of a particular peak depends on the relative amount of the corresponding cell population in the tissue. For each sample, information for a minimum 10,000 nuclear events was acquired using the System II software program (Beckman-Coulter).
For the evaluation of absolute DNA content, a sample of normal human lymphocytes fixed in ethanol/acetic acid was used as internal reference. Lymphocytes were mixed and stained together with gonadal cells to standardize the procedure. To translate relative DNA cell content into picograms of DNA, the human lymphocyte control was calculated to have 6.436 pg of DNA per diploid nucleus (2C). This value is based on the number of base pairs reported by the International Human Genome Sequencing Consortium.13 The absolute DNA amount was calculated from the ratio of the mean channel of the insect haploid peak to the mean channel of the human lymphocyte diploid G0/G1 peak. Base pair number was calculated using the equivalency of 1 pg of DNA = 0.978 x 109 bp.14 The flow cytometer was calibrated daily with standard FlowSet fluorescent microspheres (Coulter Cytometry). An individual of T. delpontei, a species previously analyzed with flow cytometry,12 was also measured in this study as an internal control for Triatominae.
| RESULTS |
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| DISCUSSION |
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Our research group has applied both methodologies in triatomines and observed that both seem to be valid to provide relative values. However, as observed in other organisms, flow cytometry has the following advantages for DNA measurement according to Ciudad and others22: 1) it permits the analysis of a large number of nuclei within a few minutes, thereby providing statistically reliable results in a short period of time (in triatomines, the number of cells and individuals analyzed by flow cytometry is much higher than that used in Feulgen studies); 2) flow cytometry has high precision and objectivity, which increases reproducibility of results (SDs for DNA content measurements reported herein are lower than those obtained using the traditional Feulgen densitometry; see Table 1
); and 3) standardization of operating procedures is easier using flow cytometry.
Although flow cytometry can be used with any cell type, gonadal cells are the type of choice, because both haploid and diploid peaks in the same profile lead to a more accurate estimate of DNA content (Figure 1A, C, E, and F
).
DNA variation within the Triatominae subfamily.
The causes and consequences of cellular DNA content variation is highly significant and, in recent years, new focuses are providing insights into the possible mechanisms associated with an increase or decrease in genome size.6 Analysis of the 20 species studied to date using flow cytometry, standardized procedures, and internal controls (Table 1
) indicates that the haploid genome in the Triatominae varies nearly 4-fold, from 0.66 pg in the Rhodnius species to 2.67 pg in T. delpontei. Although this range is relatively small when comparing all species of Heteroptera (0.35.4 pg), the mean haploid genome size for the Triatominae (1.17 ± 0.07 pg) is very similar to the value proposed for all Heteroptera (1.18 ± 0.18 pg).6
The magnitude of genome size variation in the Triatominae contrasts somewhat with the chromosome number stability within this subfamily.5 Because chromosome number is basically constant, we can discard the existence of correlation between both parameters. However, there seems to be a positive correlation between genome size and chromosome size. Rhodnius spp. have low DNA values and reduced chromosome size. Species with large chromosomes, such as those within the Panstrongylus, Dipetalogaster, Eratyrus, and Triatoma genera, have higher DNA values. This divergence is probably caused by the polyphyletic origin of the subfamily.23
As previously described for some Triatoma species, genome size heterogeneity seems to be strongly associated with the presence of heterochromatic blocks detected by C-banding techniques.911 These heterochromatic regions, composed of both moderate and highly repetitive sequences, are a major component responsible for the increase in genome size. T. delpontei has the largest DNA content and quantity of heterochromatin among all the Triatominae (45% of the autosomal complement). Other species with large heterochromatic blocks also have high DNA content (i.e., T. nitida and T. barberi). The relationship between heterochromatin and genome size explains most of the differences among populations and within some groups of species. This can be clearly observed in species of the infestans subcomplex (i.e., T. infestans, T. platensis, T. melanosoma, and T. delpontei) and protracta complex (including T. barberi and T. nitida). Among these species, changes in the amount and distribution of heterochromatin are not only the main source of karyologic differentiation but also the likely cause of variation in their DNA genome size.59
Considering all species and populations studied by flow cytometry until now, there exists a strongly positive correlation between DNA and heterochromatin content (correlation coefficient = 0.70). However, as observed in other heteropteran species,24 the consistent association between heterochromatin and DNA content is not a general rule, particularly when the taxa are not so closely related. Genomic size changes in distantly related species of triatomines (i.e., between species from different genera or among species of the same genus but belonging to different complexes) seem to involve variation in both heterochromatin and euchromatin content.
In more phylogenetically distant Triatoma species with the same chromosome number and no heterochromatin in the autosomes, such as T. longipennis and T. ryckmani (see Table 1
), genome size variations must involve changes in the euchromatin. As described for other organisms, changes in the euchromatic portion of the genome can be primarily attributed to modulation of the noncoding, repetitive DNA content.6
Prospects for future research of flow cytometry in Tri-atominae.
Three major areas of future research are likely to be especially successful to the application of flow cytometry in Triatominae. First, genome size data can be used for species identification, a particularly relevant goal for a subfamily with multiple taxonomic uncertainties that involve species with important epidemiologic roles as Chagas disease vectors. Our results reveal that species that are difficult to differentiate using morphology and DNA analyses (i.e., T. platensis and T. delpontei) have very different DNA contents (1.22 and 2.67 pg, respectively). These results encourage similar studies for specie
groups that have systematic uncertainties, such as the sordida, phyllosoma, protracta, and brasiliensis complexes.5 Recently, we identified sibling or cryptic species in T. dimidiata with differences in DNA and heterochromatin contents. This DNA variation could be detected by flow cytometry even though they involve only ~10% of total DNA.11
Second, flow cytometry can be applied to detect intraspecific genomic variations. An excellent example is observed in T. infestans, the vector responsible for about one half of the 13 million cases of Chagas disease reported worldwide. This species exhibits striking differences in heterochromatin and genome size that can be used to identify populations having different ecological characteristics.10 This type of variation is expected in species with a widespread distribution such as P. geniculatus, in which the occurrence of an extensive C-heterochromatic polymorphism is potentially indicative of DNA variation.17
It would be worth considering whether there is any association between genome size variation and other parameters such as ecological niche, geographic distribution, phenotypic characteristics, development rate, and phylogeny.6 Some of these parameters are particularly relevant in triatomines, because they are related to the bugs capacity to invade and colonize human dwellings, thereby increasing their potential role as Chagas disease vectors. It is noted that genome size variations have been reported among populations with different vectorial capacities,10,11 but more detailed studies are necessary to achieve conclusive associations. Finally, the determination of genome size in more triatomine species and their comparison with other reduviids will provide additional insights about the debate of monophyly or polyphyly of the Triatominae subfamily.23
In conclusion, we believe that the use of flow cytometry to measure genome size in the Triatominae is a powerful tool applicable to population, taxonomic, and evolutionary studies. Moreover, its use will advance our understanding of the large-scale organization of triatomine genomes.
Received May 24, 2006. Accepted for publication October 11, 2006.
Acknowledgments: The authors thank Dr. Gregory Ryan (University of Guelph, Guelph, Canada) for valuable comments on the preliminary manuscript. We also thank Dr. Lileia Diotaiuti (CPQRR, FIOCRUZ, Brazil) and Dr. Franklin Vargas (Universidad Nacional de Trujillo, Peru) for supplying material of T. brasiliensis and R. ecuadoriensis, respectively.
Financial support: This work was partially supported by "Comisión Sectorial de Investigación Científica" (CSIC), CONICYT and PEDECIBA from Uruguay, CONACyT (30871-N project), CISEI and CIP from Mexico, AMSUD-Pasteur Program (Triatomine Genome Project), ECLAT network, and Commission of the European Communities (EUSAPH network, CDIA-ICA4-CT-2003-10049 and ATU-SSA-CT-2004-515942 projects). F. Panzera benefited from additional funding by the Conselleria de Cultura i Educació of the Generalitat Valenciana and the University of Valencia, Spain.
* Address correspondence to Francisco Panzera, Centro de Investigaciones sobre Enfermedades Infecciosas (CISEI), Instituto Nacional de Salud Pública, Av. Universidad 655, C.P. 62508 Cuernavaca, Morelos, Mexico. E-mail: fpanzera{at}correo.insp.mx ![]()
Authors addresses: Francisco Panzera and Inés Ferrandis, Centro de Investigaciones sobre Enfermedades Infecciosas (CISEI), Instituto Nacional de Salud Pública, Av. Universidad 655, C.P. 62508 Cuernavaca, Morelos, Mexico, Telephone: 52777-3293050, Fax: 52777-3175485, E-mails: fpanzera{at}correo.insp.mx and loreferrandis{at}yahoo.es. Francisco Panzera and Ruben Pérez, Sección Genética Evolutiva, Instituto de Biología, Facultad de Ciencias, Universidad de la República, Calle Iguá 4225, C.P. 11400 Montevideo, Uruguay, Telephone: 5982-5258618 to 22, Fax: 5982-5258617; E-mails: panzera{at}fcien.edu.uy and rperez{at}fcien.edu.uy and Inés Ferrandis, María D. Bargues, and Santiago Mas-Coma, Departamento de Parasitología, Facultad de Farmacia, Universidad de Valencia, Av. Vicente Andrés Estellés s/n, C.P. 46100 Burjassot-Valencia, Spain, Telephone: 3496-3543093, Fax: 3496-3544769; E-mails: m.d.bargues{at}uv.es and S.Mas.Coma{at}uv.es. Janine Ramsey, Centro de Investigaciones de Paludismo (CIP), Instituto Nacional de Salud Pública, 4ta Av. Nte esq. 19 Calle Poniente, Tapachula, Chiapas, C.P. 30700 Mexico, Telephone: 52962-6250800, Fax: 52962-6285782, E-mail: jramsey{at}correo.insp.mx. Paz M. Salazar-Schettino and Margarita Cabrera, Laboratorio de Biología de Parásitos. Departamento de Microbiología y Parasitología. Facultad Medicina. Universidad Nacional Autónoma de México. Edificio "A" 2o. Piso. Ciudad Universitaria, C.P. 04510 México, D.F. Mexico, Telephone/Fax: 5556-232468, E-mails: pazmar{at}servidor.unam.mx, imay{at}servidor.unam.mx. Carlota Monroy, Laboratorio de Entomología Aplicada y Parasitología, Universidad de San Carlos, Ciudad Universitaria Zona 12, edificio T10, Ciudad de Guatemala, Guatemala, Telephone: 502-24769856, Fax: 502-24769808, E-mail: carlotamonroy{at}yahoo.com. José E. OConnor, Laboratorio de Citómica. Unidad Mixta de Investigación CIPF-UVEG. Centro de Investigación Príncipe Felipe. Avda. Autopista del Saler, 16 (Camino de las Moreras) 46013 Valencia, Spain, Telephone: 3496-3289680, E-mail: Jose.E.Oconnor{at}uv.es. Víctor M. Angulo, Centro de Investigaciones en Enfermedades Tropicales, Universidad Industrial de Santander, Carrera 32 No 29-31, Bucaramanga, Colombia, P.O. No 678, Telephone/Fax: 577-6563971, E-mail: pitorio{at}hotmail.com. Nicolás Jaramillo. Grupo de Chagas. Instituto de Biología. Universidad de Antioquia. Sede de Investigaciones Universitaria (SIU). Calle 62 #52-59 lab. 620. Medellín, Colombia, Telephone: 574-2106521, Fax: 574-2330120, E-mail: njaram{at}epm.net.co.
Reprint requests: Francisco Panzera, Centro de Investigaciones sobre Enfermedades Infecciosas (CISEI), Instituto Nacional de Salud Pública, Av. Universidad 655, C.P. 62508 Cuernavaca, Morelos, México.
| REFERENCES |
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Disease Vectors in the Americas. Vol. II. Rio de Janeiro: FIOCRUZ, 621664..
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