scholarly journals Comments on Local cod (Gadus morhua) revealed by egg surveys and population genetic analysis after longstanding depletion on the Swedish Skagerrak Coast by Svedäng et al.

2019 ◽  
Vol 76 (4) ◽  
pp. 1209-1211 ◽  
Author(s):  
Massimiliano Cardinale ◽  
Stefano Mariani ◽  
Joakim Hjelm

Abstract Svedäng et al. (2018) concluded that “the occurrence of locally spawned cod eggs suggests that spawning on the Swedish Skagerrak coast takes place, which belong to either a coastal subpopulation that is a remnant stock of a once much larger cod population, or a newly formed subpopulation that is now successfully inhabiting the coastal ecosystems along the Swedish Skagerrak coast”. However, after carefully reviewing the results and the data presented by the authors, we were no longer convinced that the information presented provided enough evidence for a local, distinct, coastal cod population in the Swedish Skagerrak. Thus, we requested the original genotype data, which the authors kindly provided to us. This allowed us to explore the substructure of these samples further using STRUCTURE 2.3.2. Re-analysis of the data consistently rejects the existence of an independent coastal Swedish stock in contrast with Svedäng et al. (2018) conclusions. We acknowledge the observation of cod spawning in the area but, based on re-analysis of the original genetic data of Svedäng et al. (2018), we currently lack the scientific basis to assume the existence of established local stocks, and even less the demographic expansion of an older, relict population in the area.

Author(s):  
Zhian N Kamvar ◽  
Javier F Tabima ◽  
Niklaus J Grünwald

Many microbial, fungal, or oomcyete populations violate assumptions for population genetic analysis because these populations are clonal or partially clonal. Furthermore, few tools exist that are specifically designed for analyzing data from clonal populations, making analysis difficult and haphazard. We developed the R package poppr providing unique tools for analysis of data from admixed, clonal, and/or mixed populations. Currently, poppr can be used for dominant/codominant and haploid/diploid genetic data. Data can be imported from several formats including GenAlEx formatted text files and can be analyzed on a user-defined hierarchy that includes unlimited levels of subpopulation structure and clone censoring. New functions include calculation of Bruvo’s distance for microsatellites, batch-analysis of the index of association with several indices of genotypic diversity, and graphing including dendrograms with bootstrap support and minimum spanning networks. A manual with documentation and examples is provided. Poppr is open source and major releases are available on CRAN: http://cran.r-project.org/package=poppr. More supporting documentation and tutorials can be found under ‘resources’ at: http://grunwaldlab.cgrb.oregonstate.edu/.


Author(s):  
Zhian N Kamvar ◽  
Javier F Tabima ◽  
Niklaus J Grünwald

Many microbial, fungal, or oomcyete populations violate assumptions for population genetic analysis because these populations are clonal or partially clonal. Furthermore, few tools exist that are specifically designed for analyzing data from clonal populations, making analysis difficult and haphazard. We developed the R package poppr providing unique tools for analysis of data from admixed, clonal, and/or mixed populations. Currently, poppr can be used for dominant/codominant and haploid/diploid genetic data. Data can be imported from several formats including GenAlEx formatted text files and can be analyzed on a user-defined hierarchy that includes unlimited levels of subpopulation structure and clone censoring. New functions include calculation of Bruvo’s distance for microsatellites, batch-analysis of the index of association with several indices of genotypic diversity, and graphing including dendrograms with bootstrap support and minimum spanning networks. A manual with documentation and examples is provided. Poppr is open source and major releases are available on CRAN: http://cran.r-project.org/package=poppr. More supporting documentation and tutorials can be found under ‘resources’ at: http://grunwaldlab.cgrb.oregonstate.edu/.


Genetics ◽  
2000 ◽  
Vol 154 (3) ◽  
pp. 1231-1238 ◽  
Author(s):  
David J Begun ◽  
Penn Whitley

Abstract NF-κB and IκB proteins have central roles in regulation of inflammation and innate immunity in mammals. Homologues of these proteins also play an important role in regulation of the Drosophila immune response. Here we present a molecular population genetic analysis of Relish, a Drosophila NF-κB/IκB protein, in Drosophila simulans and D. melanogaster. We find strong evidence for adaptive protein evolution in D. simulans, but not in D. melanogaster. The adaptive evolution appears to be restricted to the IκB domain. A possible explanation for these results is that Relish is a site of evolutionary conflict between flies and their microbial pathogens.


2012 ◽  
Vol 42 (3) ◽  
pp. 287-293 ◽  
Author(s):  
Wei Li ◽  
Vitaliano Cama ◽  
Yaoyu Feng ◽  
Robert H. Gilman ◽  
Caryn Bern ◽  
...  

2011 ◽  
Vol 59 (1) ◽  
pp. 206-224 ◽  
Author(s):  
Dorothy A. Steane ◽  
Dean Nicolle ◽  
Carolina P. Sansaloni ◽  
César D. Petroli ◽  
Jason Carling ◽  
...  

Author(s):  
Mario J. Grijalva

Rhodnius ecuadoriensis Lent & León (Hemiptera: Reduviidae) es el prinicipal vector de    la enfermedad de Chagas en Ecuador, donde la estructura genética de sus poblaciones es poco conocida. Nosotros probamos seis Repeticiones Cortas en Tamdem (RCT) de R. pallescens Barber en poblaciones selváticas y domésticas de R. ecuadoriensis. Dos microsatelites fueron monomórficos, dos dieron resultados ambiguos y dos fueron polimórficos (16 y 19 alelos) y fueron utilizados para análisis. Los resultados de las frecuencias alélicas, AMOVA y los pruebas Bayesianas para genética favorecen la teorí­a de la existencia de una sola población. Estos resultados preliminares sugieren que las poblaciones selváticas y domésticas d R. ecuadoriensis intercambian frecuentemente migrantes. Por consiguiente el control de la Enfermedad de Chagas requiere vigilancia entomológica continua en la costa del Ecuador.


Sign in / Sign up

Export Citation Format

Share Document