Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Inferring adaptive gene-flow in recent African history

George Busby, Ryan Christ, Gavin Band, Ellen Leffler, Quang Si Le, Kirk Rockett, Dominic Kwiatkowski, Chris Spencer
doi: https://doi.org/10.1101/205252
George Busby
University of Oxford;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: george.busby@gmail.com
Ryan Christ
Department of Statistics, University of Oxford;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gavin Band
Wellcome Centre for Human Genetics, University of Oxford
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ellen Leffler
Wellcome Centre for Human Genetics, University of Oxford
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Quang Si Le
Wellcome Centre for Human Genetics, University of Oxford
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kirk Rockett
Wellcome Centre for Human Genetics, University of Oxford
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dominic Kwiatkowski
Wellcome Centre for Human Genetics, University of Oxford
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chris Spencer
Wellcome Centre for Human Genetics, University of Oxford
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Gene-flow from an ancestrally differentiated group has been shown to be a powerful source of selectively advantageous variants. To understand whether recent gene-flow may have contributed to adaptation among humans in sub-Saharan Africa, we applied a novel method to identify deviations in ancestry inferred from genome-wide data in 48 populations. Among the signals of ancestry deviation that we find in the Fula, an historically pastoralist ethnic group from the Gambia, are the region that encodes the lactose persistence phenotype, LCT/MCM6, which has the highest proportion of Eurasian ancestry in the genome. The region with the lowest proportion of non-African ancestry is across DARC, which encodes the Duffy null phenotype and is protective for Plasmodium vivax malaria. In the Jola from the Gambia and a Khoesan speaking group from Namibia we find multiple regions with inferred ancestry deviation including the Major Histocompatibility Complex. Our analysis shows the potential for adaptive gene-flow in recent human history.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
  • Posted October 18, 2017.

Download PDF

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Inferring adaptive gene-flow in recent African history
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
Inferring adaptive gene-flow in recent African history
George Busby, Ryan Christ, Gavin Band, Ellen Leffler, Quang Si Le, Kirk Rockett, Dominic Kwiatkowski, Chris Spencer
bioRxiv 205252; doi: https://doi.org/10.1101/205252
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Inferring adaptive gene-flow in recent African history
George Busby, Ryan Christ, Gavin Band, Ellen Leffler, Quang Si Le, Kirk Rockett, Dominic Kwiatkowski, Chris Spencer
bioRxiv 205252; doi: https://doi.org/10.1101/205252

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Evolutionary Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (814)
  • Biochemistry (1124)
  • Bioengineering (716)
  • Bioinformatics (5722)
  • Biophysics (1943)
  • Cancer Biology (1381)
  • Cell Biology (1957)
  • Clinical Trials (71)
  • Developmental Biology (1337)
  • Ecology (2048)
  • Epidemiology (1096)
  • Evolutionary Biology (4331)
  • Genetics (3042)
  • Genomics (3923)
  • Immunology (836)
  • Microbiology (3289)
  • Molecular Biology (1220)
  • Neuroscience (8382)
  • Paleontology (62)
  • Pathology (169)
  • Pharmacology and Toxicology (304)
  • Physiology (401)
  • Plant Biology (1138)
  • Scientific Communication and Education (318)
  • Synthetic Biology (469)
  • Systems Biology (1596)
  • Zoology (210)