scholarly journals EXAMINING THE FULL EFFECTS OF LANDSCAPE HETEROGENEITY ON SPATIAL GENETIC VARIATION: A MULTIPLE MATRIX REGRESSION APPROACH FOR QUANTIFYING GEOGRAPHIC AND ECOLOGICAL ISOLATION

Evolution ◽  
2013 ◽  
Vol 67 (12) ◽  
pp. 3403-3411 ◽  
Author(s):  
Ian J. Wang
Keyword(s):  
Genetic Variation ◽  
Landscape Heterogeneity ◽  
Ecological Isolation ◽  
Regression Approach ◽  
Spatial Genetic Variation

Palaeoclimate-induced range shifts may explain current patterns of spatial genetic variation in renosterbos (Elytropappus rhinocerotis, Asteraceae)

Taxon ◽  
2007 ◽  
Vol 56 (2) ◽  
pp. 393-408 ◽  
Author(s):  
Nicola G. Bergh ◽  
Terry A. Hedderson ◽  
H. Peter Linder ◽  
William J. Bond
Keyword(s):  
Genetic Variation ◽  
Range Shifts ◽  
Spatial Genetic Variation

scholarly journals Genotyping-by-sequencing reveals the effects of riverscape, climate and interspecific introgression on the genetic diversity and local adaptation of the endangered Mexican golden trout (Oncorhynchus chrysogaster)

2018 ◽  
Author(s):  
Marco A. Escalante ◽  
Charles Perrier ◽  
Francisco J. García-De León ◽  
Arturo Ruiz-Luna ◽  
Enrique Ortega-Abboud ◽  
...  
Keyword(s):  
Climate Change ◽  
Genetic Diversity ◽  
Genetic Variation ◽  
Local Adaptation ◽  
Population Genomics ◽  
Landscape Heterogeneity ◽  
Genotyping By Sequencing ◽  
Anthropogenic Factors ◽  
Nucleotide Polymorphisms ◽  
Evolutionary Potential

AbstractHow environmental and anthropogenic factors influence genetic variation and local adaptation is a central issue in evolutionary biology. The Mexican golden trout (Oncorhynchus chrysogaster), one of the southernmost native salmonid species in the world, is susceptible to climate change, habitat perturbations and the competition and hybridization with exotic rainbow trout (O. mykiss). The present study aimed for the first time to use genotyping-by-sequencing to explore the effect of genetic hybridization with O. mykiss and of riverscape and climatic variables on the genetic variation among O. chrysogaster populations. Genotyping-by-sequencing (GBS) was applied to generate 9767 single nucleotide polymorphisms (SNPs), genotyping 272 O. chrysogaster and O. mykiss. Population genomics analyses were combined with landscape ecology approaches into a riverine context (riverscape genetics). The clustering analyses detected seven different genetic groups (six for O. chrysogater and one for aquaculture O. mykiss) and a small amount of admixture between aquaculture and native trout with only two native genetic clusters showing exotic introgression. Latitude and precipitation of the driest month had a significant negative effect on genetic diversity and evidence of isolation by river resistance was detected, suggesting that the landscape heterogeneity was preventing trout dispersal, both for native and exotic individuals. Moreover, several outlier SNPs were identified as potentially implicated in local adaptation to local hydroclimatic variables. Overall, this study suggests that O. chrysogater may require conservation planning given i) exotic introgression from O. mykiss locally threatening O. chrysogater genetic integrity, and ii) putative local adaptation but low genetic diversity and hence probably reduced evolutionary potential especially in a climate change context.

scholarly journals Lack of spatial genetic variation in the edible crab (Cancer pagurus) in the Kattegat–Skagerrak area

2009 ◽  
Vol 66 (3) ◽  
pp. 462-469 ◽  
Author(s):  
Anette Ungfors ◽  
Niall J. McKeown ◽  
Paul W. Shaw ◽  
Carl André
Keyword(s):  
Genetic Variation ◽  
Gene Flow ◽  
Larval Dispersal ◽  
Power Analysis ◽  
Norwegian Sea ◽  
Cancer Pagurus ◽  
Genotype Frequencies ◽  
Contemporary Gene Flow ◽  
Large Populations ◽  
Spatial Genetic Variation

Abstract Ungfors, A., McKeown, N. J., Shaw, P. W., and André, C. 2009. Lack of spatial genetic variation in the edible crab (Cancer pagurus) in the Kattegat–Skagerrak area. – ICES Journal of Marine Science, 66: 462–469. The stock structure of the edible crab (Cancer pagurus L.) in the Kattegat and Skagerrak was investigated using eight microsatellite DNA loci. Replicate samples, collected 4–6 years apart, were derived from the Kattegat (Grove Bank, 57°N) and the Skagerrak (Lunneviken, 59°N), plus a geographical outgroup sample from the Norwegian Sea (Midsund, 62°N). Genetic differentiation among samples, estimated as global FST = 0.002, was significant (p = 0.03) when the statistical test was based on allele frequencies, but not when based on genotype frequencies. Moreover, all single- and multilocus pairwise tests between samples were non-significant. An analysis of molecular variance, AMOVA, did not reveal significant differentiation between spatial (Kattegat vs. Skagerrak) or temporal (2001/2002 vs. 2006/2007) groups of samples. Power analysis suggested that the loci and sample sizes employed conferred a power of >90% of detecting even low (true FST = 0.002) levels of population structure. Low spatial and temporal genetic structure might be explained by either or both of (i) high levels of contemporary gene flow in the area attributable to adult migration or larval dispersal or both factors taken together, and (ii) patterns of historical gene flow persisting among recently founded large populations.

scholarly journals Networks of spatial genetic variation across species

2009 ◽  
Vol 106 (45) ◽  
pp. 19044-19049 ◽  
Author(s):  
Miguel A. Fortuna ◽  
Rafael G. Albaladejo ◽  
Laura Fernández ◽  
Abelardo Aparicio ◽  
Jordi Bascompte
Keyword(s):  
Genetic Variation ◽  
Spatial Genetic Variation

scholarly journals Assessing the robustness of networks of spatial genetic variation

2013 ◽  
Vol 16 ◽  
pp. 86-93 ◽  
Author(s):  
Eva M. Albert ◽  
Miguel A. Fortuna ◽  
José A. Godoy ◽  
Jordi Bascompte
Keyword(s):  
Genetic Variation ◽  
Spatial Genetic Variation
Sign in / Sign up

Export Citation Format

Share Document