Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. SNP Genotyping Defines Complex Gene-Flow Boundaries Among African Malaria Vector Mosquitoes

SNP Genotyping Defines Complex Gene-Flow Boundaries Among African Malaria Vector Mosquitoes

Thumbnail Image
Download
Name

emss-67451.pdf

Size

998.82 KB

Format

Adobe PDF

Checksum (MD5)

95c118fa08ba1368fee306ff10aa9670

Download all files submitted through automated deposit
sword-2018-06-28.original.zip (728.48 KB)
Author(s)
Lawniczak, M. K. N.
•
Park, D. J.
•
Redmond, S. N.
•
Coulibaly, M. B.
•
Traore, S. F.
•
Sagnon, N.
•
Costantini, C.
•
Collins, F. H.
•
Kafatos, F. C.
•
Besansky, N. J.
more
Date Issued
September 2010
Journal
Science
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Neafsey, D. E. et al. “SNP Genotyping Defines Complex Gene-Flow Boundaries Among African Malaria Vector Mosquitoes.” Science 330, 6003 (October 2010): 514–517 © 2010 American Association for the Advancement of Science
Version
Author's final manuscript
Abstract
Mosquitoes in the Anopheles gambiae complex show rapid ecological and behavioral diversification, traits that promote malaria transmission and complicate vector control efforts. A high-density, genome-wide mosquito SNP-genotyping array allowed mapping of genomic differentiation between populations and species that exhibit varying levels of reproductive isolation. Regions near centromeres or within polymorphic inversions exhibited the greatest genetic divergence, but divergence was also observed elsewhere in the genomes. Signals of natural selection within populations were overrepresented among genomic regions that are differentiated between populations, implying that differentiation is often driven by population-specific selective events. Complex genomic differentiation among speciating vector mosquito populations implies that tools for genome-wide monitoring of population structure will prove useful for the advancement of malaria eradication.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/116704
DOI of Published Version
https://doi.org/10.1126/science.1193036
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.