Statistical Approaches and Methods in Population Genetics Using Microsatellite Data

Author(s):  
Eduardo José Melo dos Santos
Genome ◽  
2006 ◽  
Vol 49 (7) ◽  
pp. 786-798 ◽  
Author(s):  
T Kyndt ◽  
B Van Droogenbroeck ◽  
A Haegeman ◽  
I Roldán-Ruiz ◽  
G Gheysen

To generate inexpensive and efficient DNA markers for addressing a number of population genetics problems and identification of wild hybrids in Vasconcellea, we have evaluated the use of simple sequence repeat (SSR) primers previously developed for other species. A set of 103 Vasconcellea accessions and some individuals of the related genera Carica and Jacaratia were analyzed with 10 primer pairs directing amplification of chloroplast microsatellites in Nicotiana tabacum and 9 nuclear SSR primer pairs recently identified in Vasconcellea × heilbornii. Heterologous amplification of chloroplast SSRs was successful for 8 of the 10 loci, of which 6 showed polymorphism. Seven of the 9 nuclear SSR primer pairs were useful in Vasconcellea and often also in Jacaratia and Carica, all revealing polymorphism. Exclusive haplotypes for each described taxon were identified based on chloroplast microsatellite data. Clustering based on separate nuclear and chloroplast data resulted in a clear grouping per taxon, but only low resolution was obtained above species level. The codominancy of nuclear SSRs and the general high polymorphism rate of SSR markers will make them more useful in future population genetics studies and diversity assessment in conservation programs.Key words: Carica, Jacaratia, Vasconcellea, simple sequence repeats, cross-species amplification, classification, interspecific hybrids.


2017 ◽  
Vol 9 (4) ◽  
pp. 1036-1048 ◽  
Author(s):  
Quentin Dubois ◽  
Christophe Lebigre ◽  
Nicolas Schtickzelle ◽  
Camille Turlure

2015 ◽  
Author(s):  
Rodney J. Dyer

AbstractFor a scientific discipline to be interdisciplinary it must satisfy two conditions; it must consist of contributions from at least two existing disciplines and it must be able to provide insights, through this interaction, that neither progenitor discipline could address. In this paper, I examine the complete body of peer-reviewed literature self-identified as landscape genetics using the statistical approaches of text mining and natural language processing. The goal here is to quantify the kinds of questions being addressed in landscape genetic studies, the ways in which questions are evaluated mechanistically, and how they are differentiated from the progenitor disciplines of landscape ecology and population genetics. I then circumscribe the main factions within published landscape genetic papers examining the extent to which emergent questions are being addressed and highlighting a deep bifurcation between existing individual- and population-based approaches. I close by providing some suggestions on where theoretical and analytical work is needed if landscape genetics is to serve as a real bridge connecting evolution and ecology sensu lato.


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