Literature DB >> 16701357

Assignment methods: matching biological questions with appropriate techniques.

Stephanie Manel1, Oscar E Gaggiotti, Robin S Waples.   

Abstract

Assignment methods, which use genetic information to ascertain population membership of individuals or groups of individuals, have been used in recent years to study a wide range of evolutionary and ecological processes. In applied studies, the first step of articulating the biological question(s) to be addressed should be followed by selection of the method(s) best suited for the analysis. However, this first step often receives less attention than it should, and the recent proliferation of assignment methods has made the selection step challenging. Here, we review assignment methods and discuss how to match the appropriate methods with the underlying biological questions for several common problems in ecology and conservation (assessing population structure; measuring dispersal and hybridization; and forensics and mixture analysis). We also identify several topics for future research that should ensure that this field remains dynamic and productive.

Year:  2005        PMID: 16701357     DOI: 10.1016/j.tree.2004.12.004

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  87 in total

1.  Changes in the genetic structure of Aedes aegypti (Diptera: Culicidae) populations in Queensland, Australia, across two seasons: implications for potential mosquito releases.

Authors:  N M Endersby; A A Hoffmann; V L White; S A Ritchie; P H Johnson; A R Weeks
Journal:  J Med Entomol       Date:  2011-09       Impact factor: 2.278

2.  Diversity and genetic connectivity among populations of a threatened tree (Dalbergia nigra) in a recently fragmented landscape of the Brazilian Atlantic Forest.

Authors:  Luciana Cunha Resende; Renata Acácio Ribeiro; Maria Bernadete Lovato
Journal:  Genetica       Date:  2011-11-30       Impact factor: 1.082

3.  Patterns of hybridization and asymmetrical gene flow in hybrid zones of the rare Eucalyptus aggregata and common E. rubida.

Authors:  D L Field; D J Ayre; R J Whelan; A G Young
Journal:  Heredity (Edinb)       Date:  2010-11-10       Impact factor: 3.821

4.  An integrated-likelihood method for estimating genetic differentiation between populations.

Authors:  Toshihide Kitakado; Shuichi Kitada; Hirohisa Kishino; Hans Julius Skaug
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

5.  Evaluation of genetic variability and mutation drift equilibrium of Banni buffalo using multi locus microsatellite markers.

Authors:  B P Mishra; R S Kataria; P Kathiravan; S S Bulandi; K P Singh; D K Sadana
Journal:  Trop Anim Health Prod       Date:  2009-01-09       Impact factor: 1.559

6.  Population genetic structure of two Medicago species shaped by distinct life form, mating system and seed dispersal.

Authors:  Juan Yan; Hai-Jia Chu; Heng-Chang Wang; Jian-Qiang Li; Tao Sang
Journal:  Ann Bot       Date:  2009-01-26       Impact factor: 4.357

Review 7.  DNA detective: a review of molecular approaches to wildlife forensics.

Authors:  E A Alacs; A Georges; N N FitzSimmons; J Robertson
Journal:  Forensic Sci Med Pathol       Date:  2009-12-16       Impact factor: 2.007

8.  Utility of multilocus genotypes for taxon assignment in stands of closely related European white oaks from Switzerland.

Authors:  Felix Gugerli; Sabine Brodbeck; Rolf Holderegger
Journal:  Ann Bot       Date:  2008-09-05       Impact factor: 4.357

9.  The fewer and the better: prioritization of populations for conservation under limited resources, a genetic study with Borderea pyrenaica (Dioscoreaceae) in the Pyrenean National Park.

Authors:  J G Segarra-Moragues; P Catalán
Journal:  Genetica       Date:  2010-03       Impact factor: 1.082

10.  Lost in translation or deliberate falsification? Genetic analyses reveal erroneous museum data for historic penguin specimens.

Authors:  Sanne Boessenkool; Bastiaan Star; R Paul Scofield; Philip J Seddon; Jonathan M Waters
Journal:  Proc Biol Sci       Date:  2009-12-09       Impact factor: 5.349

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