Population genomic footprints of fine-scale differentiation between habitats in Mediterranean blue tits

• Published in: Molecular ecology Vol. 25; no. 2; pp. 542 - 558
• Main Authors: Szulkin, M., Gagnaire, P.-A., Bierne, N., Charmantier, A.
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 01.01.2016; Wiley
• Subjects: Animals; Biodiversity; blue tit; Ecosystem; France; Gene Flow; genetic differentiation; Genetic Variation; Genetics, Population; Geography; landscape genetics; Life Sciences; local adaptation; Passeriformes - genetics; Polymorphism, Single Nucleotide; population genomics; Populations and Evolution; RAD sequencing; Reproduction - genetics; Sequence Analysis, DNA; Transcriptome; France; population genomics; local adaptation; genetic differentiation; landscape genetics; blue tit; RAD sequencing; Landscape Genetics; Population Genetics -Empirical; genomic differentiation
• ISSN: 0962-1083; 1365-294X
• DOI: 10.1111/mec.13486

Linking population genetic variation to the spatial heterogeneity of the environment is of fundamental interest to evolutionary biology and ecology, in particular when phenotypic differences between populations are observed at biologically small spatial scales. Here, we applied restriction‐site associated DNA sequencing (RAD‐Seq) to test whether phenotypically differentiated populations of wild blue tits (Cyanistes caeruleus) breeding in a highly heterogeneous environment exhibit genetic structure related to habitat type. Using 12 106 SNPs in 197 individuals from deciduous and evergreen oak woodlands, we applied complementary population genomic analyses, which revealed that genetic variation is influenced by both geographical distance and habitat type. A fine‐scale genetic differentiation supported by genome‐ and transcriptome‐wide analyses was found within Corsica, between two adjacent habitats where blue tits exhibit marked differences in breeding time while nesting < 6 km apart. Using redundancy analysis (RDA), we show that genomic variation remains associated with habitat type when controlling for spatial and temporal effects. Finally, our results suggest that the observed patterns of genomic differentiation were not driven by a small proportion of highly differentiated loci, but rather emerged through a process such as habitat choice, which reduces gene flow between habitats across the entire genome. The pattern of genomic isolation‐by‐environment closely matches differentiation observed at the phenotypic level, thereby offering significant potential for future inference of phenotype‐genotype associations in a heterogeneous environment.