↓ Skip to main content

Contemporary gene flow between wild An. gambiae s.s. and An. arabiensis

Overview of attention for article published in Parasites & Vectors, July 2014
Altmetric Badge

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Contemporary gene flow between wild An. gambiae s.s. and An. arabiensis
Published in
Parasites & Vectors, July 2014
DOI 10.1186/1756-3305-7-345
Pubmed ID
Authors

David Weetman, Keith Steen, Emily J Rippon, Henry D Mawejje, Martin J Donnelly, Craig S Wilding

Abstract

In areas where the morphologically indistinguishable malaria mosquitoes Anopheles gambiae Giles and An. arabiensis Patton are sympatric, hybrids are detected occasionally via species-diagnostic molecular assays. An. gambiae and An. arabiensis exhibit both pre- and post-reproductive mating barriers, with swarms largely species-specific and male F1 (first-generation) hybrids sterile. Consequently advanced-stage hybrids (back-crosses to parental species), which would represent a route for potentially-adaptive introgression, are expected to be very rare in natural populations. Yet the use of one or two physically linked single-locus diagnostic assays renders them indistinguishable from F1 hybrids and levels of interspecific gene flow are unknown.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Researcher 13 19%
Student > Master 12 18%
Student > Bachelor 5 7%
Student > Postgraduate 3 4%
Other 8 12%
Unknown 12 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 32%
Biochemistry, Genetics and Molecular Biology 20 29%
Medicine and Dentistry 6 9%
Computer Science 2 3%
Nursing and Health Professions 1 1%
Other 5 7%
Unknown 12 18%