期刊
EXPERIMENTAL AND APPLIED ACAROLOGY
卷 84, 期 3, 页码 637-657出版社
SPRINGER
DOI: 10.1007/s10493-021-00629-z
关键词
Ticks; MALDI-TOF MS; Arthropod identification; DR Congo; Taxonomy
类别
资金
- Institut Hospitalo-Universitaire (IHU) Mediterranee Infection
- National Research Agency under the Investissements d'avenir programme [ANR-10-IAHU-03]
- Region Provence Alpes Cote d'Azur
- European ERDF PRIMI funding
The study evaluated the ability of MALDI-TOF MS to identify different tick species in the Democratic Republic of the Congo, demonstrating a high level of reproducibility and specificity in tick identification. The results confirmed the precision and reliability of MALDI-TOF MS for tick identification through comparison with morphological and molecular approaches.
Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS) has recently emerged as an alternative to morphological and molecular tools to identify tick species. In this study, we set out to evaluate and confirm the ability of MALDI-TOF MS to identify different species of ticks collected in the Democratic Republic of the Congo and preserved in 70% ethanol. A total of 575 ticks, of which 530 were collected from domestic pigs and 45 from wild animals, were subjected to MALDI-TOF MS analysis to evaluate the intraspecies reproducibility and interspecies specificity of MS profiles obtained from the different species. Morphologically, the ticks belonged to seven different species, namely Rhipicephalus complanatus, Rhipicephalus congolensis, Haemaphysalis muhsamae, Ixodes cumulatimpunctatus, Amblyomma exornatum, Amblyomma compressum and an unidentified Rhipicephalus sp. A total of 535/575 (93%) of the spectra obtained were of good enough quality to be used for our analyses. Our home-made MALDI-TOF MS arthropod database was upgraded with spectra obtained from between one and five randomly selected specimens per species. For these reference specimens, molecular identification of the ticks was also made using 16S, 12S rDNA genes and the Cox1 mtDNA gene sequencing. The remaining good quality spectra were then queried against the upgraded MALDI-TOF MS database, showing that 100% were in agreement with the morphological identification, with logarithmic score values (LSVs) between 1.813 and 2.51. The consistency between our morphological, molecular and MALDI-TOF MS identification confirms the capability and precision of MALDI-TOF MS for tick identification.
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