2020
DOI: 10.1111/mec.15536
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Spatial predictors of genomic and phenotypic variation differ in a lowland Middle American bird (Icterus gularis)

Abstract: Spatial patterns of intraspecific variation are shaped by geographical distance among populations, historical changes in gene flow and interactions with local environments. Although these factors are not mutually exclusive and operate on both genomic and phenotypic variation, it is unclear how they affect these two axes of variation. We address this question by exploring the predictors of genomic and phenotypic divergence in Icterus gularis, a broadly distributed Middle American bird that exhibits marked geogr… Show more

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Cited by 9 publications
(15 citation statements)
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“…By contrast, the survival fitness component is important in the drier NOR habitats, with local NOR accessions possessing more succulent leaves. In contrast to research systems where the key environmental factors, selection forces and traits for isolation by adaptation could only be inferred [47][48][49], our empirical field experiments demonstrate how environmental differences facilitate trait divergence due to ecological factors, a much-needed approach to validate isolation by environment [9]. Similar examples exist not only in plants.…”
Section: Discussionmentioning
confidence: 81%
“…By contrast, the survival fitness component is important in the drier NOR habitats, with local NOR accessions possessing more succulent leaves. In contrast to research systems where the key environmental factors, selection forces and traits for isolation by adaptation could only be inferred [47][48][49], our empirical field experiments demonstrate how environmental differences facilitate trait divergence due to ecological factors, a much-needed approach to validate isolation by environment [9]. Similar examples exist not only in plants.…”
Section: Discussionmentioning
confidence: 81%
“…The inclusion of genetic data is necessary in order to distinguish between these two mechanisms that could promote phenotypic variation (e.g. [ 8 , 21 , 126 , 127 ]). Moreover, the use of neutral and under selection molecular markers (such as single nucleotide polymorphisms: SNPs) could help to separate the effect of drift and local adaptation in phenotypic variation.…”
Section: Discussionmentioning
confidence: 99%
“…Even though it is postulated that open‐habitat organisms have high dispersal capacity (Sheard et al, 2020), landscape elements such as rivers, mountains or regions with unsuitable habitat conditions (e.g., rainforest patches) are expected to modulate gene flow and influence population genetic structure (Cabanne et al, 2016; Moreira et al, 2020; Vasconcellos et al, 2019). Furthermore, geomorphological and climatic conditions within biomes are not homogeneous, resulting in a mosaic with different levels of habitat integration, limiting gene flow between populations (McRae, 2006; Taylor et al, 1993).…”
Section: Introductionmentioning
confidence: 99%