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Characterizing the physical and genetic structure of the lodgepole pine × jack pine hybrid zone: mosaic structure and differential introgression

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TLDR
It is found the distribution of the pine classes is explained by environmental variables, and these distributions differ from classic distribution maps, and range limits should be redefined.
Abstract
Understanding the physical and genetic structure of hybrid zones can illuminate factors affecting their formation and stability In north-central Alberta, lodgepole pine (Pinus contorta Dougl ex Loud var latifolia) and jack pine (Pinus banksiana Lamb) form a complex and poorly defined hybrid zone Better knowledge of this zone is relevant, given the recent host expansion of mountain pine beetle into jack pine We characterized the zone by genotyping 1998 lodgepole, jack pine, and hybrids from British Columbia, Alberta, Saskatchewan, Ontario, and Minnesota at 11 microsatellites Using Bayesian algorithms, we calculated genetic ancestry and used this to model the relationship between species occurrence and environment In addition, we analyzed the ancestry of hybrids to calculate the genetic contribution of lodgepole and jack pine Finally, we measured the amount of gene flow between the pure species We found the distribution of the pine classes is explained by environmental variables, and these distributions differ from classic distribution maps Hybrid ancestry was biased toward lodgepole pine; however, gene flow between the two species was equal The results of this study suggest that the hybrid zone is complex and influenced by environmental constraints As a result of this analysis, range limits should be redefined

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How the Mountain Pine Beetle (Dendroctonus ponderosae) Breached the Canadian Rocky Mountains

TL;DR: It is suggested that MPB has been able to spread beyond its previous range by adjusting its cellular and metabolic functions, with genome scale differentiation enabling populations to better withstand cooler climates and facilitate longer dispersal distances.
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Mining conifers' mega-genome using rapid and efficient multiplexed high-throughput genotyping-by-sequencing (GBS) SNP discovery platform

TL;DR: It is demonstrated that GBS is a robust and suitable method for genotyping conifers and the application of GBS to forest tree breeding and genomic selection is discussed.
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Predicting the risk of mountain pine beetle spread to eastern pine forests: Considering uncertainty in uncertain times

TL;DR: In this article, the authors present a synthetic framework that models future spread rates as a function of coupled nonlinear recruitment dynamics that arise from the distinct population phases of mountain pine beetle, and correlated thermal response functions that are characteristic of the influence of climate and climate change on ecosystem processes.
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Change in soil fungal community structure driven by a decline in ectomycorrhizal fungi following a mountain pine beetle (Dendroctonus ponderosae) outbreak

TL;DR: The results indicate that both deterministic and stochastic processes structure soil fungal communities following landscape-scale insect outbreaks and reflect the independent roles tree mortality, soil chemistry and geographical distance play in regulating the community composition of soil fungi.
References
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
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Inference of population structure using multilocus genotype data

TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
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genalex 6: genetic analysis in Excel. Population genetic software for teaching and research

TL;DR: Genalex is a user-friendly cross-platform package that runs within Microsoft Excel, enabling population genetic analyses of codominant, haploid and binary data.
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Analyzing tables of statistical tests

TL;DR: Technique non parametrique pour la signification statistique de tables de tests utilisees dans les etudes sur l'evolution notamment.
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