Literature DB >> 24003454

Meeting review. Uncovering the genetic basis of adaptive change: on the intersection of landscape genomics and theoretical population genetics.

Stéphane Joost, Séverine Vuilleumier, Jeffrey D Jensen, Sean Schoville, Kevin Leempoel, Sylvie Stucki, Ivo Widmer, Christelle Melodelima, Jonathan Rolland, Stéphanie Manel.   

Abstract

A workshop recently held at the École Polytechnique Fédérale de Lausanne (EPFL, Switzerland) was dedicated to understanding the genetic basis of adaptive change, taking stock of the different approaches developed in theoretical population genetics and landscape genomics and bringing together knowledge accumulated in both research fields. Indeed, an important challenge in theoretical population genetics is to incorporate effects of demographic history and population structure. But important design problems (e.g. focus on populations as units, focus on hard selective sweeps, no hypothesis-based framework in the design of the statistical tests) reduce their capability of detecting adaptive genetic variation. In parallel, landscape genomics offers a solution to several of these problems and provides a number of advantages (e.g. fast computation, landscape heterogeneity integration). But the approach makes several implicit assumptions that should be carefully considered (e.g. selection has had enough time to create a functional relationship between the allele distribution and the environmental variable, or this functional relationship is assumed to be constant). To address the respective strengths and weaknesses mentioned above, the workshop brought together a panel of experts from both disciplines to present their work and discuss the relevance of combining these approaches, possibly resulting in a joint software solution in the future.

Mesh:

Year:  2013        PMID: 24003454     DOI: 10.1111/mec.12352

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  15 in total

1.  The population genomic signature of environmental selection in the widespread insect-pollinated tree species Frangula alnus at different geographical scales.

Authors:  H De Kort; K Vandepitte; J Mergeay; K V Mijnsbrugge; O Honnay
Journal:  Heredity (Edinb)       Date:  2015-05-06       Impact factor: 3.821

Review 2.  Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions.

Authors:  Sean Hoban; Joanna L Kelley; Katie E Lotterhos; Michael F Antolin; Gideon Bradburd; David B Lowry; Mary L Poss; Laura K Reed; Andrew Storfer; Michael C Whitlock
Journal:  Am Nat       Date:  2016-08-15       Impact factor: 3.926

Review 3.  Climate-Driven Reshuffling of Species and Genes: Potential Conservation Roles for Species Translocations and Recombinant Hybrid Genotypes.

Authors:  Jon Mark Scriber
Journal:  Insects       Date:  2013-12-24       Impact factor: 2.769

Review 4.  Recent advances in understanding the genetic resources of sheep breeds locally-adapted to the UK uplands: opportunities they offer for sustainable productivity.

Authors:  Dianna Bowles
Journal:  Front Genet       Date:  2015-02-12       Impact factor: 4.599

5.  Using Landscape Genetics Simulations for Planting Blister Rust Resistant Whitebark Pine in the US Northern Rocky Mountains.

Authors:  Erin L Landguth; Zachary A Holden; Mary F Mahalovich; Samuel A Cushman
Journal:  Front Genet       Date:  2017-02-10       Impact factor: 4.599

6.  EST-SSR-based landscape genetics of Pseudotaxus chienii, a tertiary relict conifer endemic to China.

Authors:  Shufeng Li; Zhen Wang; Yingjuan Su; Ting Wang
Journal:  Ecol Evol       Date:  2021-06-15       Impact factor: 2.912

7.  Assessing the spatial dependence of adaptive loci in 43 European and Western Asian goat breeds using AFLP markers.

Authors:  Licia Colli; Stéphane Joost; Riccardo Negrini; Letizia Nicoloso; Paola Crepaldi; Paolo Ajmone-Marsan
Journal:  PLoS One       Date:  2014-01-30       Impact factor: 3.240

8.  Adaptations to climate-mediated selective pressures in sheep.

Authors:  Feng-Hua Lv; Saif Agha; Juha Kantanen; Licia Colli; Sylvie Stucki; James W Kijas; Stéphane Joost; Meng-Hua Li; Paolo Ajmone Marsan
Journal:  Mol Biol Evol       Date:  2014-09-23       Impact factor: 16.240

9.  Challenges and opportunities in genetic improvement of local livestock breeds.

Authors:  Filippo Biscarini; Ezequiel L Nicolazzi; Alessandra Stella; Paul J Boettcher; Gustavo Gandini
Journal:  Front Genet       Date:  2015-02-25       Impact factor: 4.599

10.  European wildcat populations are subdivided into five main biogeographic groups: consequences of Pleistocene climate changes or recent anthropogenic fragmentation?

Authors:  Federica Mattucci; Rita Oliveira; Leslie A Lyons; Paulo C Alves; Ettore Randi
Journal:  Ecol Evol       Date:  2015-12-07       Impact factor: 2.912

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