| Literature DB >> 24685273 |
Silvia Andrade Justi, Claudia A M Russo, Jacenir Reis dos Santos Mallet, Marcos Takashi Obara, Cleber Galvão1.
Abstract
BACKGROUND: The Triatomini and Rhodniini (Hemiptera: Reduviidae) tribes include the most diverse Chagas disease vectors; however, the phylogenetic relationships within the tribes remain obscure. This study provides the most comprehensive phylogeny of Triatomini reported to date.Entities:
Mesh:
Substances:
Year: 2014 PMID: 24685273 PMCID: PMC4021723 DOI: 10.1186/1756-3305-7-149
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Specimens examined, including laboratory colony source, locality information (when available), voucher depository, ID (unique specimen identifier number), and GenBank accession numbers
| 92 | 3465 | LDP | México | KC249306 | - | KC249226 | KC248968 | KC249134 | KC249092 | |
| 186 | 3520 | LaTec | El Triunfo, México | KC249305 | KC249399 | KC249225 | KC248967 | - | - | |
| - | - | GenBank | - | - | - | - | JQ897794 | JQ897635 | JQ897555 | |
| 106 | - | LNIRTT | | - | KC249400 | - | - | - | - | |
| - | - | GenBank | - | - | - | - | AF394595 | - | - | |
| - | - | GenBank | - | - | - | - | AF394593 | - | - | |
| - | - | GenBank | - | AF449141 | - | - | AY185833 | - | - | |
| 202 | 3524 | LTL | Santa Quitéria, CE, Brazil | KC249307 | KC249401 | KC249227 | KC248969 | KC249135 | - | |
| 128 | 3463 | LACEN | Nova Prata, RS, Brazil | KC249308 | KC249402 | KC249228 | KC248970 | KC249136 | - | |
| 129 | 3476 | LACEN | Boa Vista do Cadeado, RS, Brazil | KC249309 | - | KC249229 | KC248971 | KC249137 | - | |
| 130 | 3477 | LACEN | Tres Passos, RS, Brazil | - | - | KC249230 | KC248972 | KC249138 | - | |
| 131 | 3478 | LACEN | Salvador do Sul, RS, Brazil | KC249310 | - | KC249231 | KC248973 | KC249139 | - | |
| 132 | 3479 | LACEN | Barão do Triunfo, RS, Brazil | KC249311 | - | - | KC248974 | KC249140 | - | |
| 183 | 3517 | LaTec | Pitangui, MG, Brazil | KC249312 | KC249403 | KC249232 | KC248975 | KC249141 | - | |
| 127 | 3462 | LACEN | Dom Feliciano, RS, Brazil | - | - | KC249233 | KC248977 | - | - | |
| 138 | 3485 | LACEN | Pinheiro Machado, RS, Brazil | - | KC249404 | KC249234 | KC248978 | KC249142 | - | |
| - | - | GenBank | - | - | - | - | FJ230443 | - | - | |
| 197 | 3426 | LNIRTT | Acará River, AM, Brazil | KC249313 | KC249405 | KC249235 | KC248980 | - | - | |
| - | - | GenBank | - | - | - | FJ229360 | AY035438 | - | - | |
| - | - | GenBank | - | - | - | - | AY035440 | - | - | |
| - | - | GenBank | - | - | GQ869665 | - | - | - | - | |
| - | - | GenBank | - | - | - | - | - | AF435856 | - | |
| - | - | GenBank | - | AF449137 | - | - | - | - | - | |
| - | - | GenBank | - | - | - | EF071584 | - | - | - | |
| 200 | 3429 | LNIRTT | Bega, Abaetetuba, PA, Brazil | KC249315 | KC249408 | - | KC248982 | - | KC249094 | |
| - | - | GenBank | - | AF449138 | - | - | - | AF435862 | AY345868 | |
| 195 | 3424 | LNIRTT | Alto Beni, Bolivia | KC249316 | KC249409 | KC249236 | KC248983 | - | - | |
| - | - | GenBank | - | - | - | - | FJ230414 | FJ230574 | FJ230493 | |
| 40 | 3384 | LNIRTT | Curaçá, BA, Brazil | KC249319,KC249320 | KC249415,KC249416 | KC249240 | KC248986 | - | - | |
| 41 | 3385 | LNIRTT | Sobral, CE, Brazil | - | - | KC249241 | KC248987 | - | - | |
| 174 | 3510 | LaTec | Tauá, CE, Brazil | KC249318 | KC249413 | KC249239 | KC248985 | KC249145 | - | |
| 56 | - | IIBISMED | Mataral, Cochabamba, Bolivia | KC249321 | KC249417 | KC249242 | KC248988 | - | - | |
| 98 | 3468 | LNIRTT | Cuba | - | KC249418 | - | KC248989 | KC249146 | - | |
| 78 | 3395 | LNIRTT | São Gerônimo, RS, Brazil | KC249322 | KC249419 | KC249244 | KC248991 | - | KC249097 | |
| 120 | - | LNIRTT | Caçapava do Sul, RS, Brazil | KC249323 | KC249421 | - | KC248992 | KC249147 | KC249098 | |
| 121 | - | LACEN | Piratini, RS, Brazil | KC249324 | KC249422 | - | KC248993 | - | - | |
| 122 | 3473 | LACEN | Piratini, RS, Brazil | KC249325 | - | KC249245 | KC248994 | KC249148 | KC249099 | |
| 126 | 3461 | LACEN | Dom Feliciano, RS, Brazil | - | - | - | KC248996 | - | - | |
| 35 | 3381 | LNIRTT | Posse, GO, Brazil | KC249327,KC249328 | KC249425 | KC249246 | KC248997 | - | KC249101 | |
| 42 | - | IIBISMED | Chiquitania, Cochabamba, Bolivia | KC249329 | KC249426 | KC249247 | KC248998 | KC249149 | - | |
| 53 | - | IIBISMED | Chaco Tita, Cochabamba, Bolivia | KC249330 | KC249427 | KC249248 | KC248999 | - | - | |
| 20 | 3444 | LaTec | KC249335 | KC249431 | - | KC249004 | KC249152 | - | ||
| 94 | 3466 | LNIRTT | Central América | KC249336,KC249337 | KC249432 | - | KC249005 | KC249155 | - | |
| 100 | 3470 | LNIRTT | México | KC249333 | - | - | KC249002 | - | - | |
| - | - | GenBank | - | GQ336898 | - | JN102360 | AY035466 | - | - | |
| - | - | GenBank | - | - | - | - | AY035451 | - | AJ421959 | |
| 89 | 3405 | LNIRTT | Rivadaria, Argentina | KC249338 | - | KC249249 | KC249006 | KC249158 | KC249102 | |
| 55 | - | IIBISMED | Chaco Tita, Cochabamba, Bolivia | KC249342 | - | KC249251 | KC249010 | - | - | |
| 82 | 3398 | LNIRTT | Santa Cruz, Bolívia | KC249343 | KC249438 | KC249252 | KC249011 | KC249162 | KC249103 | |
| 29 | 3455 | LNIRTT | Barra do Garça, MT, Brazil | - | KC249440 | - | KC249013 | KC249164 | KC249105 | |
| 58 | - | IIBISMED | Cotapachi, Cochabamba, Bolivia | KC249349 | KC249442 | KC249256 | KC249015 | KC249168 | KC249109 | |
| 60 | - | IIBISMED | Mataral, Cochabamba, Bolivia | KC249351 | KC249443 | KC249257 | KC249016 | KC249169 | KC249107 | |
| 62 | - | IIBISMED | Ilicuni, Cochabamba, Bolivia | KC249353 | KC249445 | KC249259 | KC249018 | - | - | |
| 63 | - | IIBISMED | Ilicuni, Cochabamba, Bolivia | KC249354 | KC249446 | KC249260 | KC249019 | - | - | |
| 66 | 3386 | LNIRTT | Guarani das Missões, RS, Brazil | - | - | - | KC249021 | - | - | |
| 68 | 3388 | LNIRTT | Argentina | - | - | - | KC249023 | - | - | |
| 69 | 3389 | LNIRTT | Montevideo, Uruguai | - | KC249447 | KC249262 | KC249024 | KC249172 | - | |
| 44 | - | IIBISMED | Chaco Tita Cochabamba | KC249346 | - | KC249255 | KC249025 | KC249166 | KC249108 | |
| 209 | 3430 | LTL | Uiabí, BA, Brazil | - | - | KC249263 | KC249026 | KC249173 | - | |
| 30 | 3456 | LNIRTT | Alto Garça MT, Brazil | - | KC249448 | KC249264 | KC249027 | KC249174 | KC249110 | |
| 75 | 3393 | LNIRTT | Nova Petrópolis, RS, Brazil | KC249356 | KC249449 | KC249265 | KC249028 | - | - | |
| 151 | 3411 | LaTec | - | - | KC249450 | - | KC249029 | KC249175 | KC249111 | |
| 26 | 3450 | LaTec | - | - | KC249453 | KC249267 | KC249032 | - | - | |
| 97 | 3467 | LNIRTT | México | KC249358 | - | - | KC249033 | - | - | |
| 165 | 3501 | LaTec | México | KC249357 | KC249452 | - | KC249031 | KC249177 | - | |
| 203 | 3525 | LTL | Água Fria, RR, Brazil | - | KC249454 | - | KC249034 | | - | |
| 31 | 3374 | LNIRTT | Bahia, Brazil | KC249361 | KC249458 | - | KC249038 | - | - | |
| 32 | 3375 | LNIRTT | Aquidauana , MS, Brazil | - | KC249459 | KC249271 | KC249039 | KC249181 | - | |
| 33 | 3377 | LNIRTT | Alegria, MT, Brazil | - | KC249460 | KC249272 | KC249040 | KC249182 | KC249114 | |
| 192 | 3423 | LTL | São Gabriel D’oeste, MS, Brazil | KC249360 | KC249457 | KC249270 | KC249037 | KC249180 | KC249113 | |
| - | - | GenBank | - | DQ198805 | - | DQ198816 | AY035446 | - | AJ243333 | |
| - | 3447 | LaTec | - | - | KC249461 | - | KC249041 | KC249183 | - | |
| 70 | 3390 | LNIRTT | Missiones Argentina | KC249362 | - | KC249273 | KC249042 | - | - | |
| - | - | GenBank | - | - | - | AF045723 | AF045702 | - | - | |
| 18 | 3442 | LaTec | - | - | - | - | KC249045 | - | - | |
| - | - | GenBank | - | DQ198806 | - | DQ198818 | - | - | AJ243329 | |
| - | - | GenBank | - | - | - | DQ198817 | AY185840 | - | AJ243332 | |
| 96 | - | LNIRTT | Montevideo Uruguai | - | - | KC249274 | KC249047 | KC249186 | - | |
| 93 | 3407 | LNIRTT | Monte Diablo, California, EUA | - | KC249463 | - | KC249048 | KC249187 | - | |
| 34 | 3379 | LNIRTT | Curaçá, BA, Brazil | - | - | - | KC249057 | KC249196 | - | |
| 211 | 3432 | LTL | Várzea Alegre, CE, Brazil | KC249364 | KC249464 | KC249275 | KC249050 | KC249189 | - | |
| 212 | 3433 | LTL | Várzea Alegre, CE, Brazil | - | KC249465 | KC249276 | KC249051 | KC249190 | - | |
| 214 | 3435 | LTL | Várzea Alegre, CE, Brazil | KC249365 | KC249467 | KC249277 | KC249053 | KC249192 | - | |
| - | - | GenBank | - | DQ198803 | - | DQ198813 | FJ230417 | - | FJ230496 | |
| - | - | GenBank | - | - | - | - | AY127046 | - | AJ421960 | |
| 76 | 3459 | LNIRTT | Caçapava do Sul, RS, Brazil | KC249375 | KC249477 | KC249286 | KC249066 | - | - | |
| 77 | 3394 | LNIRTT | Quevedos, RS, Brazil | KC249376 | - | KC249287 | KC249067 | KC249204 | KC249122 | |
| 156 | 3416 | LaTec | Canguçu, RS, Brazil | KC249374 | KC249476 | KC249285 | KC249065 | KC249203 | KC249121 | |
| 123 | 3474 | LACEN | Piratini, RS, Brazil | KC249369 | KC249470 | - | KC249058 | KC249197 | KC249116 | |
| 134 | 3481 | LACEN | Canguçu, RS, Brazil | KC249370 | KC249471 | KC249281 | KC249059 | KC249198 | KC249117 | |
| 136 | 3483 | LACEN | Pinheiro Machado, RS, Brazil | KC249372 | KC249473 | KC249283 | KC249061 | KC249200 | KC249119 | |
| 140 | 3487 | LACEN | Canguçu, RS, Brazil | KC249373 | KC249475 | - | KC249064 | KC249202 | KC249120 | |
| - | - | GenBank | - | - | JF500886 | HQ141317| | AF045696 | - | - | |
| 80 | 3396 | LNIRTT | - | KC249377 | KC249478 | KC249288 | KC249068 | KC249205 | - | |
| 38 | 3382 | LNIRTT | Rondonópolis, MT, Brazil | - | KC249479 | - | KC249071 | - | - | |
| 46 | - | IIBISMED | Romerillo, Cochabamba, Bolivia | KC249379,KC249380 | KC249480 | - | KC249072 | KC249207 | - | |
| 47 | - | IIBISMED | Romerillo, Cochabamba, Bolivia | KC249381,KC249382 | - | KC249290 | KC249073 | KC249208 | KC249124 | |
| 83 | 3399 | LNIRTT | La Paz, Bolívia | KC249383 | KC249481 | KC249291 | KC249074 | KC249209 | - | |
| 85 | 3401 | LNIRTT | Pantanal, MS, Brazil | KC249384 | KC249482 | KC249292 | KC249075 | KC249210 | KC249125 | |
| 86 | 3402 | LNIRTT | Santa Cruz, Bolívia | KC249385 | - | KC249293 | KC249076 | KC249211 | - | |
| 88 | 3404 | LNIRTT | San Miguel Corrientes, Argentina | KC249387 | KC249484 | KC249295 | KC249078 | KC249213 | - | |
| 90 | 3406 | LNIRTT | Poconé, MT, Brazil | KC249388 | - | - | KC249079 | - | - | |
| 50 | - | IIBISMED | Mataral, Cochabamba, Bolivia | KC249339 | KC249435 | - | KC249007 | KC249159 | - | |
| - | - | GenBank | - | GQ336893 | - | JN102358 | AF324518 | - | AJ421961 | |
| 79 | 3460 | LNIRTT | - | KC249390 | KC249486 | KC249297 | KC249081 | KC249215 | - | |
| 177 | 3513 | LaTec | Mogiguaçu, RS, Brazil | KC249389 | KC249485 | KC249296 | KC249080 | KC249214 | KC249127 | |
| 28 | 3452 | LNIRTT | Pantanal, MT, Brazil | KC249391 | KC249487 | KC249298 | KC249082 | KC249216 | KC249128 | |
| 73 | 3392 | LNIRTT | Rio Verde do Mato Grosso, MT, Brazil | KC249392 | KC249488 | KC249299 | KC249083 | KC249217 | KC249129 | |
| 74 | 3458 | LNIRTT | Rondonópolis, MT, Brazil | KC249393,KC249394 | KC249489 | KC249300 | KC249084 | KC249218 | - | |
| 81 | 3397 | LNIRTT | - | KC249396 | KC249491 | KC249303 | KC249087 | KC249220 | KC249132 | |
| 91 | - | LTL | Rio de Janeiro, Brazil | KC249397 | KC249492 | KC249304 | KC249088 | KC249221 | - | |
| 168 | 3504 | LaTec | Itanhomi, MG, Brazil | KC249395 | KC249490 | KC249301 | KC249085 | - | KC249130 | |
| 36 | - | LNIRTT | - | - | KC249493 | - | KC249089 | - | - | |
| 17 | 3441 | LaTec | - | KC249398 | KC249494 | - | KC249090 | KC249222 | KC249133 | |
| 205 | 3527 | LTL | Sta Rita de Caldas, MG, Brazil | - | - | - | KC249091 | - | - | |
LTL - Laboratório de Transmissores de Leishmanioses, IOC, FIOCRUZ; LaTec - Laboratório de Triatomíneos e epidemiologia da Doença de Chagas, CPqRR, FIOCRUZ; LACEN - Laboratório Central, Rio Grande do Sul, Ministério da Saúde; IIBISMED - Instituto de Investigaciones Biomédicas, Facultad de Medicina, Universidad Mayor de San Simón, Cochabamba, Bolivia.
Primers used in this study
| COI | 5′-GGTCAACAAATCATAAAGATATTGG-3′ [ | 5′-AAACTTCAGGGTGACCAAAAAATCA-3′ [ |
| 5′-CCTGCAGGAGGAGGAGAYCC-3′ [ | 5′ - TAAGCGTCTGGGTAGTCTGARTAKCG-3′; [ | |
| 5′-ATTGRATTTTDAGTCATAGGGAG-3′ (this study) | 5′-TATTYGTWTGATCDGTWGG-3′ (this study) | |
| CytB | 5′-GGACG(AT)GG(AT)ATTTATTATGGATC-3′ [ | 5′-ATTACTCCTCCTAGYTTATTAGGAATT-3′ [ |
| COII | 5′-ATGATTTTAAGCTTCATTTATAAAGAT-3′ [ | 5′-GTCTGAATATCATATCTTCAATATCA-3′ [ |
| 16S | 5′-CGCCTGTTTATCAAAAACAT-3′ [ | 5′-CTCCGGTTTGAACTCAGATCA-3′ [ |
| 28S | 5′- AGTCGKGTTGCTTGAKAGTGCAG-3′ [ | 5′- TTCAATTTCATTKCGCCTT-3′ [ |
| | 5′-CTTTTAAATGATTTGAGATGGCCTC-3′ (this study) | - |
| 18S | 5′-AAATTACCCACTCCCGGCA-3′ [ | 5′-TGGTGUGGTTTCCCGTGT T-3′ [ |
Figure 1Best ML tree (on the left) and Bayesian consensus tree (on the right) reconstructed. Bars on the right highlight the non-monophyletic groups. Numbers above branches represent clade support higher than 50 and 0.5, respectively. Triatominae photos by Carolina Dale. Stenopoda spinulosa photo by Brad Barnd. Photos are not to scale.