Literature DB >> 4368577

Determination of the age of some anopheline mosquitos by daily growth layers of skeletal apodemes.

Y Schlein, N G Gratz.   

Abstract

Earlier work has shown that it is possible to determine the calendar age of Culex and Aedes mosquitos by counting the daily layers of cuticular growth on the inner apodemes. In view of the epidemiological importance of age grouping in Anopheles species, the applicability of the method to this genus was studied in both laboratory-reared and field-collected specimens. In the four species examined, it was found possible to distinguish daily growth layers for periods of up to 10-13 days provided that proper staining procedures are used.

Mesh:

Year:  1973        PMID: 4368577      PMCID: PMC2480958     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  1 in total

1.  Age determination of some flies and mosquitos by daily growth layers of skeletal apodemes.

Authors:  J Schlein; N G Gratz
Journal:  Bull World Health Organ       Date:  1972       Impact factor: 9.408

  1 in total
  5 in total

1.  Genome-wide profiling of diel and circadian gene expression in the malaria vector Anopheles gambiae.

Authors:  Samuel S C Rund; Tim Y Hou; Sarah M Ward; Frank H Collins; Giles E Duffield
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-29       Impact factor: 11.205

2.  Back to the Future: Quantifying Wing Wear as a Method to Measure Mosquito Age.

Authors:  Lyndsey Gray; Bryce C Asay; Blue Hephaestus; Ruth McCabe; Greg Pugh; Erin D Markle; Thomas S Churcher; Brian D Foy
Journal:  Am J Trop Med Hyg       Date:  2022-07-18       Impact factor: 3.707

3.  Changes in transcript abundance for cuticular proteins and other genes three hours after a blood meal in Anopheles gambiae.

Authors:  Laura Vannini; W Augustine Dunn; Tyler W Reed; Judith H Willis
Journal:  Insect Biochem Mol Biol       Date:  2013-11-22       Impact factor: 4.714

Review 4.  Daily Rhythms in Mosquitoes and Their Consequences for Malaria Transmission.

Authors:  Samuel S C Rund; Aidan J O'Donnell; James E Gentile; Sarah E Reece
Journal:  Insects       Date:  2016-04-14       Impact factor: 2.769

5.  Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning.

Authors:  Mario González Jiménez; Simon A Babayan; Pegah Khazaeli; Margaret Doyle; Finlay Walton; Elliott Reedy; Thomas Glew; Mafalda Viana; Lisa Ranford-Cartwright; Abdoulaye Niang; Doreen J Siria; Fredros O Okumu; Abdoulaye Diabaté; Heather M Ferguson; Francesco Baldini; Klaas Wynne
Journal:  Wellcome Open Res       Date:  2019-09-16
  5 in total

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