Literature DB >> 32657460

Incorporating interspecific interactions into phylogeographic models: A case study with Californian oaks.

Joaquín Ortego1, L Lacey Knowles2.   

Abstract

It has been long assumed that abiotic factors (i.e., geography and climate) dominate the ecological and evolutionary processes underlying the distribution of species, lineages and genes at broad spatial scales and, as a result, the study of interspecific interactions has largely been overlooked in biogeography research and ignored entirely in phylogeographic inference. Here, we focus on plant-plant interactions and test whether their demographic consequences translate into broad-scale patterns of genomic variation in two Californian oak species. With our process-based analyses and statistical comparison of the likelihoods of alternative models, we show that spatial patterns of genomic variation are better explained by demographic scenarios incorporating interspecific interactions (including both competition and facilitation) than by null models that only consider heterogeneity of environmental suitability across the landscape. Collectively, our integrative approach supports the notion that the consequences of biotic interactions transcend much larger geographical and evolutionary scales than the traditional local focus.
© 2020 John Wiley & Sons Ltd.

Keywords:  biotic interactions; community ecology; competition; demographic inference; facilitation; genetic variation; phylogeography

Mesh:

Year:  2020        PMID: 32657460     DOI: 10.1111/mec.15548

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


  2 in total

Review 1.  Addressing alpine plant phylogeography using integrative distributional, demographic and coalescent modeling.

Authors:  Dennis J Larsson; Da Pan; Gerald M Schneeweiss
Journal:  Alp Bot       Date:  2021-07-29

2.  Landscape Genomics Provides Evidence of Ecotypic Adaptation and a Barrier to Gene Flow at Treeline for the Arctic Foundation Species Eriophorum vaginatum.

Authors:  Elizabeth Stunz; Ned Fetcher; Philip Lavretsky; Jonathon E Mohl; Jianwu Tang; Michael L Moody
Journal:  Front Plant Sci       Date:  2022-03-24       Impact factor: 5.753

  2 in total

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