Literature DB >> 26756865

Navigating the pitfalls and promise of landscape genetics.

Jonathan L Richardson1, Steven P Brady2, Ian J Wang3, Stephen F Spear4.   

Abstract

The field of landscape genetics has been evolving rapidly since its emergence in the early 2000s. New applications, techniques and criticisms of techniques appear like clockwork with each new journal issue. The developments are an encouraging, and at times bewildering, sign of progress in an exciting new field of study. However, we suggest that the rapid expansion of landscape genetics has belied important flaws in the development of the field, and we add an air of caution to this breakneck pace of expansion. Specifically, landscape genetic studies often lose sight of the fundamental principles and complex consequences of gene flow, instead favouring simplistic interpretations and broad inferences not necessarily warranted by the data. Here, we describe common pitfalls that characterize such studies, and provide practical guidance to improve landscape genetic investigation, with careful consideration of inferential limits, scale, replication, and the ecological and evolutionary context of spatial genetic patterns. Ultimately, the utility of landscape genetics will depend on translating the relationship between gene flow and landscape features into an understanding of long-term population outcomes. We hope the perspective presented here will steer landscape genetics down a more scientifically sound and productive path, garnering a field that is as informative in the future as it is popular now.
© 2016 John Wiley & Sons Ltd.

Keywords:  adaptation; conservation; evolution; gene flow; population persistence; replication; scale

Mesh:

Year:  2016        PMID: 26756865     DOI: 10.1111/mec.13527

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


  22 in total

1.  Environmental exposure does not explain putative maladaptation in road-adjacent populations.

Authors:  Steven P Brady
Journal:  Oecologia       Date:  2017-07-17       Impact factor: 3.225

2.  Urbanization without isolation: the absence of genetic structure among cities and forests in the tiny acorn ant Temnothorax nylanderi.

Authors:  A Khimoun; C Doums; M Molet; B Kaufmann; R Peronnet; P A Eyer; S Mona
Journal:  Biol Lett       Date:  2020-01-29       Impact factor: 3.703

3.  Admixture of hybrid swarms of native and introduced lizards in cities is determined by the cityscape structure and invasion history.

Authors:  Joscha Beninde; Stephan Feldmeier; Michael Veith; Axel Hochkirch
Journal:  Proc Biol Sci       Date:  2018-07-25       Impact factor: 5.349

4.  Evidence for human-mediated range expansion and gene flow in an invasive grass.

Authors:  Tina M Arredondo; Gina L Marchini; Mitchell B Cruzan
Journal:  Proc Biol Sci       Date:  2018-07-11       Impact factor: 5.349

5.  Urban rat races: spatial population genomics of brown rats (Rattus norvegicus) compared across multiple cities.

Authors:  Matthew Combs; Kaylee A Byers; Bruno M Ghersi; Michael J Blum; Adalgisa Caccone; Federico Costa; Chelsea G Himsworth; Jonathan L Richardson; Jason Munshi-South
Journal:  Proc Biol Sci       Date:  2018-06-13       Impact factor: 5.349

Review 6.  Prediction and Prevention of Parasitic Diseases Using a Landscape Genomics Framework.

Authors:  Philipp Schwabl; Martin S Llewellyn; Erin L Landguth; Björn Andersson; Uriel Kitron; Jaime A Costales; Sofía Ocaña; Mario J Grijalva
Journal:  Trends Parasitol       Date:  2016-11-16

7.  A strategic sampling design revealed the local genetic structure of cold-water fluvial sculpin: a focus on groundwater-dependent water temperature heterogeneity.

Authors:  Souta Nakajima; Masanao Sueyoshi; Shun K Hirota; Nobuo Ishiyama; Ayumi Matsuo; Yoshihisa Suyama; Futoshi Nakamura
Journal:  Heredity (Edinb)       Date:  2021-08-20       Impact factor: 3.832

8.  Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer.

Authors:  Tyler K Chafin; Zachery D Zbinden; Marlis R Douglas; Bradley T Martin; Christopher R Middaugh; M Cory Gray; Jennifer R Ballard; Michael E Douglas
Journal:  Evol Appl       Date:  2021-05-04       Impact factor: 5.183

9.  Using simulations to evaluate Mantel-based methods for assessing landscape resistance to gene flow.

Authors:  Katherine A Zeller; Tyler G Creech; Katie L Millette; Rachel S Crowhurst; Robert A Long; Helene H Wagner; Niko Balkenhol; Erin L Landguth
Journal:  Ecol Evol       Date:  2016-05-21       Impact factor: 2.912

10.  Identification of landscape features influencing gene flow: How useful are habitat selection models?

Authors:  Gretchen H Roffler; Michael K Schwartz; Kristy L Pilgrim; Sandra L Talbot; George K Sage; Layne G Adams; Gordon Luikart
Journal:  Evol Appl       Date:  2016-06-03       Impact factor: 5.183

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