Molecular Systematics of Tephritidae (Insecta : Diptera): Testing Phylogenetic Position of Korean Acidiella spp. (Trypetini) Using Mitochondrial 16S rDNA Sequences

  • Han, Ho-Yeon (Department of Life Science, College of Liberal Arts and Sciences, Yonsei University) ;
  • Ro, Kyung-Eui (Department of Life Science, College of Liberal Arts and Sciences, Yonsei University)
  • Published : 2002.03.01

Abstract

Phylogenetic relationships of Korean Acidiella species were tested using mitochondrial 16S ribosomal RNA gene sequences. We used 16 published sequences as outgroup, and 10 new sequences for nine Korean Acidiella species as ingroup. The number of aligned sites was 1,281 bp, but 1,135 bp were used for the analysis after excluding sites with missing data or gaps. Among these 1,135 sites, 464 sites were variable and 340 were informative for parsimony analysis. Phylogenetic information was extracted from this data set using neighbor-joining, maximum likelihood and maximum parsimony methods and compared to a morphology-based phylogenetic hypothesis. Our molecular data suggest that: (1) the tribe Trypetini appears to be monophyletic even when the nine additional Acidiella species are added to our previous phylogenetic analysis; (2) all the Korean Acidiella species belong to the Trypeta group, but the genus Acidiella is not supported as monophyletic; (3) the close relationship of A. circumvaga, A. issikii, and A. sapporensis is supported; (4) the close relationship of A. pachypogon and two additional new Acidiella species is strongly supported; and (5) the possible presence of two or more cryptic species among the specimens previously identified as A. obscuripennis is suggested. Sequence data from the mitochondrial 16S rDNA allowed us to better understand the systematic status of Korean Acidiella species. They indicated that the current concept about the genus Acidiella is insufficient and needs to be refined further. This study also showed a few interesting relationships, that had not been recognized by morphological study alone. Based on this study, we were able to plan further experiments to analyze relationships within the Trypeta Group.

Keywords

References

  1. Felsenstein J (1985) Confidence limits on phylogenies: an approach using the bootstrap. Evolution 39: 783-791 https://doi.org/10.2307/2408678
  2. Hall TA (1999) BioEdit: a user-friendly biological sequence alignment editor and analysis program for Window 95/98/NT. Nucleic Acids Symp Ser 41: 95-98
  3. Han HY (1992) Classification of the tribe Trypetini (Diptera: Tephritidae: Trypetinae). Ph.D. Thesis, The Pennsylvania State University, pp 1-274
  4. Han HY (1999) Phylogeny and behavior of files in the tribe Trypetini (Trypetinae). In: Aluja M and Norrbom AL (eds), Fruit Files (Tephritidae): Phylogeny and Evolution of Behavior. CRC Press, New York. pp 253-297
  5. Han HY (2000) Molecular phylogenetic study of the tribe Trypetini (Diptera: Tephritidae), using mitochondrial 16S ribosomal DNA sequences. Biochem Syst Ecol 28: 501-513 https://doi.org/10.1016/S0305-1978(99)00097-6
  6. Han HY and Kwon YJ (2000) Family Tephritidae. Insecta Koreana Suppl 10: 1-113
  7. Han HY and McPheron BA (1997) Molecular phylogenetic study of Tephritidae (Insecta: Diptera) using partial sequences of the mitochondrial 16S ribosomal DNA. Mol Phylo Evol 7: 17-32 https://doi.org/10.1006/mpev.1996.0370
  8. Han HY and McPheron BA (1999) Nucleotide sequence data as a tool to test phylogenetic relationships among higher groups of Tephritidae: a case study using mitochondrial ribosomal DNA. In: Aluja M and Norrbom AL (eds), Fruit Files (Tephritidae): Phylogeny and Evolution of Behavior. CRC Press, New York, pp 115-132
  9. Kimura M (1980) A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16: 111-120 https://doi.org/10.1007/BF01731581
  10. Kocher TD, Thomas WK, Meyer A, Edwards SV, Paabo S, Villablanca FX, and Wilson AC (1989) Dynamics of mitochondrial DNA sequence evolution in animals: amplification and sequencing with conserved primers. Proc Natl Acad Sci USA 86: 6196-6200 https://doi.org/10.1073/pnas.86.16.6196
  11. Korneyev VA (1998) New data and nomenclatural notes on the Tephritidae (Diptera) of far east Russia. II. J Ukr Entomol Soc 3: 5-48
  12. Kumar S, Tamura K, Jakobsen IB, and Nei M (2001) MEGA2: Molecular Evolutionary Genetics Analysis Software, Arizona State University, Tempe
  13. Nei M (1991) Relative efficiencies of different tree-making methods for molecular data. In: Miyamoto MM and Cracraft J(eds), Phylogenetic Analysis of DNA Sequences, Oxford University Press, New York, pp 90-128
  14. Norrbom AL, Carroll LE, Thompson FC, White IM, and Freidberg A (1999) Systematic database of names. In: Thompson FC (ed), Fruit Fly Expert System and Systematic Information Database, pp 65-251
  15. Palumbi S, Martin A, Romano S, McMillan WO, Stice L, and Grabowski G (1991) The Simple Fool's Guide to PCR. Version 2. Department of Zoology and Kewalo Marine Laboratory, University of Hawaii, Honollulu
  16. Rzhetsky A and Nei M (1992) A simple method for estimating and testing minimum-evolution trees. Mol Biol Evol 9: 945-967
  17. Sanger F, Nicklen S, and Coulson AR (1977) DNA sequencing with chain-terminating inhibitors. Proc Natl Acad Sci USA 74: 5463-5467 https://doi.org/10.1073/pnas.74.12.5463
  18. Sheppard WS, Steck GJ, and McPheron BA (1992) Geographic populations of the medfly may be differentiated by mitochondrial DNA variation. Experientia 49: 1010-1013 https://doi.org/10.1007/BF01919155
  19. Swofford DL (2000) PAUP*. Phylogenetic Analysis Using Parsimony (*and Other Methods). Version 4.0b8. Sinauer Associates, Sunderland
  20. Thompson JD, Higgins DG, and Gibson TJ (1997) CLUSTALW: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position specific gap penalties and weight matrix choice. Nucleic Acids Res 22: 4673-4680 https://doi.org/10.1093/nar/22.22.4673
  21. Xiong B and Kocher TD (1991) Comparison of mitochondrial DNA sequences of seven morphospecies of black files (Diptera: Simuliidae). Genome 34: 306-311 https://doi.org/10.1139/g91-050