Predicting the age of mosquitoes using transcriptional profiles

Cook, P. E., Hugo, L. E., Iturbe-Ormaetxe, I., Williams, C. R., Chenoweth, S. F., Ritchie, S. A., Ryan, P. A., Kay, B. H., Blows, M. W. and O'Neill, S. L. (2007) Predicting the age of mosquitoes using transcriptional profiles. Nature Protocols, 2 11: 2796-2806. doi:10.1038/nprot.2007.396

Author Cook, P. E.
Hugo, L. E.
Iturbe-Ormaetxe, I.
Williams, C. R.
Chenoweth, S. F.
Ritchie, S. A.
Ryan, P. A.
Kay, B. H.
Blows, M. W.
O'Neill, S. L.
Title Predicting the age of mosquitoes using transcriptional profiles
Journal name Nature Protocols   Check publisher's open access policy
ISSN 1754-2189
Publication date 2007-01-01
Year available 2007
Sub-type Article (original research)
DOI 10.1038/nprot.2007.396
Open Access Status Not yet assessed
Volume 2
Issue 11
Start page 2796
End page 2806
Total pages 11
Editor Barnes, K.
Place of publication United Kingdom
Publisher Nature Publishing Group
Language eng
Subject C1
270504 Invertebrate Biology
770504 Control of pests and exotic species
730101 Infectious diseases
Abstract The use of transcriptional profiles for predicting mosquito age is a novel solution for the longstanding problem of determining the age of field-caught mosquitoes. Female mosquito age is of central importance to the transmission of a range of human pathogens. The transcriptional age-grading protocol we present here was developed in Aedes aegypti, principally as a research tool. Age predictions are made on the basis of transcriptional data collected from mosquitoes of known age. The abundance of eight candidate gene transcripts is quantified relative to a reference gene using quantitative reverse transcriptase-PCR (RT-PCR). Normalized gene expression (GE) measures are analyzed using canonical redundancy analysis to obtain a multivariate predictor of mosquito age. The relationship between the first redundancy variate and known age is used as the calibration model. Normalized GE measures are quantified for wild-caught mosquitoes, and ages are then predicted using this calibration model. Rearing of mosquitoes to specific ages for calibration data can take up to 40 d. Molecular analysis of transcript abundance, and subsequent age predictions, should take similar to 3-5 d for 100 individuals.
Keyword Biochemical Research Methods
Biochemistry & Molecular Biology
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Biological Sciences Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 25 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 25 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 16 Apr 2008, 23:51:47 EST by Gail Walter on behalf of School of Biological Sciences