Literature DB >> 16716302

Analysis of mosquito bloodmeals using RFLP markers.

Mohammad Ali Oshaghi1, Ali Reza Chavshin, Hassan Vatandoost.   

Abstract

An important variable in the amplification of arthropod vector-borne diseases is the degree of contact between human hosts and mosquito vectors. To analyze this interaction, a DNA based method was developed to differentiate human bloodmeals from other sources in the mosquito Anopheles stephensi (Diptera: Culicidae) Liston. A portion of the host mitochondrial DNA cytochrome B genes were PCR amplified and classified to the species level based on their restriction fragment length polymorphism (RFLP). The cytochrome B sequences showed sufficient interspecific polymorphism to distinguish between human, cow, sheep, chicken, and guinea pig hosts. XhoI could distinguish human from other vertebrates whereas TaqI alone could separate the others. The importance of these results in epidemiological studies of malaria and other vector borne diseases is discussed.

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Year:  2006        PMID: 16716302     DOI: 10.1016/j.exppara.2006.04.001

Source DB:  PubMed          Journal:  Exp Parasitol        ISSN: 0014-4894            Impact factor:   2.011


  25 in total

1.  Development of a high-throughput microsphere-based molecular assay to identify 15 common bloodmeal hosts of Culex mosquitoes.

Authors:  T C Thiemann; A C Brault; H B Ernest; W K Reisen
Journal:  Mol Ecol Resour       Date:  2011-12-04       Impact factor: 7.090

2.  A Microsatellite Multiplex Assay for Profiling Pig DNA in Mosquito Bloodmeals.

Authors:  John B Keven; Edward D Walker; Patrick J Venta
Journal:  J Med Entomol       Date:  2019-06-27       Impact factor: 2.278

3.  The host preferences of Nuttalliella namaqua (Ixodoidea: Nuttalliellidae): a generalist approach to surviving multiple host-switches.

Authors:  Ben J Mans; Daniel G de Klerk; Ronel Pienaar; Abdalla A Latif
Journal:  Exp Appl Acarol       Date:  2013-09-21       Impact factor: 2.132

Review 4.  Blood feeding habits of mosquitoes: hardly a bite in South America.

Authors:  Karelly Melgarejo-Colmenares; María Victoria Cardo; Darío Vezzani
Journal:  Parasitol Res       Date:  2022-05-14       Impact factor: 2.383

5.  Identification of bloodmeal sources of triatomines captured in the Paraguayan Chaco region of South America by means of molecular biology analysis.

Authors:  Stefanía Fraenkel; Oscar Daniel Salvioni; Antonieta Rojas de Arias; Verónica Paola Arze; Miriam Rolón; Natalia Ramirez; Celeste Vega Gómez
Journal:  Pathog Glob Health       Date:  2020-01-23       Impact factor: 2.894

6.  Blood Meal Identification in Field-Captured Sand flies: Comparison of PCR-RFLP and ELISA Assays.

Authors:  N Maleki-Ravasan; Ma Oshaghi; E Javadian; Y Rassi; J Sadraei; F Mohtarami
Journal:  Iran J Arthropod Borne Dis       Date:  2009-06-30

7.  Utility of filter paper for preserving insects, bacteria, and host reservoir DNA for molecular testing.

Authors:  F Karimian; Mm Sedaghat; Ma Oshaghi; F Mohtarami; A Sanei Dehkordi; M Koosha; S Akbari; Ss Hashemi-Aghdam
Journal:  Iran J Arthropod Borne Dis       Date:  2011-12-31

8.  Repellency Effects of Essential Oils of Myrtle (Myrtus communis), Marigold (Calendula officinalis) Compared with DEET against Anopheles stephensi on Human Volunteers.

Authors:  M Tavassoli; M Shayeghi; Mr Abai; H Vatandoost; M Khoobdel; M Salari; A Ghaderi; F Rafi
Journal:  Iran J Arthropod Borne Dis       Date:  2011-12-31

9.  Differential Responses of Anopheles stephensi (Diptera: Culicidae) to Skin Emanations of a Man, a Cow, and a Guinea Pig in the Olfactometer.

Authors:  S-M Omrani; H Vatandoost; Ma Oshaghi; F Shokri; Mr Yaghoobi-Ershadi; Y Rassi; S Tirgari
Journal:  Iran J Arthropod Borne Dis       Date:  2010-06-30

10.  Spatial Modelling of Malaria in South of Iran in Line with the Implementation of the Malaria Elimination Program: A Bayesian Poisson-Gamma Random Field Model.

Authors:  Amin Ghanbarnejad; Habibollah Turki; Mehdi Yaseri; Ahmad Raeisi; Abbas Rahimi-Foroushani
Journal:  J Arthropod Borne Dis       Date:  2021-03-31       Impact factor: 1.198

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