Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Detecting populations in the 'ambiguous' zone: kinship-based estimation of population structure at low genetic divergence
Stockholm University, Faculty of Science, Department of Genetics, Microbiology and Toxicology.
Stockholm University, Faculty of Science, Department of Genetics, Microbiology and Toxicology.
2010 (English)In: Molecular ecology notes, ISSN 1755-098X, Vol. 10, no 5, 797-805 p.Article in journal (Refereed) Published
Abstract [en]

Identifying population structure is one of the most common and important objectives of spatial analyses using population genetic data. Population structure is detected either by rejecting the null hypothesis of a homogenous distribution of genetic variation, or by estimating low migration rates. Issues arise with most current population genetic inference methods when the genetic divergence is low among putative populations. Low levels of genetic divergence may be as a result of either high ongoing migration or historic high migration but no current, ongoing migration. We direct attention to recent developments in the use of the tempo-spatial distribution of closely related individuals to detect population structure or estimate current migration rates. These 'kinship-based' approaches complement more traditional population-based genetic inference methods by providing a means to detect population structure and estimate current migration rates when genetic divergence is low. However, for kinship-based methods to become widely adopted, formal estimation procedures applicable to a range of species life histories are needed.

Place, publisher, year, edition, pages
2010. Vol. 10, no 5, 797-805 p.
Keyword [en]
coalescent, population genetics, Population structure, relatedness, Wright's F-ST
National Category
Genetics Microbiology in the medical area
Identifiers
URN: urn:nbn:se:su:diva-49456DOI: 10.1111/j.1755-0998.2010.02887.xISI: 000280998200005OAI: oai:DiVA.org:su-49456DiVA: diva2:378199
Note
authorCount :3Available from: 2010-12-15 Created: 2010-12-14 Last updated: 2010-12-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Berube, Martine
By organisation
Department of Genetics, Microbiology and Toxicology
GeneticsMicrobiology in the medical area

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 23 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf