@techreport{fdi:010076804,
  title = {{G}enomics of microgeographic adaptation in the {A}mazonian hyperdominant tree {E}perua falcata {A}ubl. ({F}abaceae)},
  author = {{B}rousseau, {L}ouise and {F}ine, {P}.{V}.{A}. and {D}reyer, {E}. and {V}endramin, {G}.{G}. and {S}cotti, {I}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}lant populations can undergo very localized adaptation, allowing widely distributed populations to adapt to divergent habitats in spite of recurrent gene flow. {N}eotropical trees whose large and undisturbed populations often span a variety of environmental conditions and local habitats are particularly good models to study this process. {H}ere, we carried out a genome scan for selection through whole-genome sequencing of pools of populations, sampled according to a nested sampling design, to evaluate microgeographic adaptation in the hyperdominant {A}mazonian tree {E}perua falcata {A}ubl. ({F}abaceae). {A} high-coverage genomic resource of 250 {M}b was assembled de novo and annotated, leading to 32,789 predicted genes. 97,062 bi-allelic {SNP}s were detected over 25,803 contigs, and a custom {B}ayesian model was implemented to uncover candidate genomic targets of divergent selection. {A} set of 290 divergence outlier {SNP}s was detected at the regional scale (between study sites), while 185 {SNP}s located in the vicinity of 106 protein-coding genes were detected as replicated outliers between microhabitats within regions. {T}hese genes potentially underlie ecologically important phenotypes and indicate that adaptation to microgeographic habitat patchiness would affect genomic regions involved in a variety of physiological processes, among which plant response to stress (for e.g., oxidative stress, hypoxia and metal toxicity) and biotic interactions. {I}dentification of genomic targets of microgeographic adaptation in the {N}eotropics is consistent with the hypothesis that local adaptation is a key driver of ecological diversification, operating across multiple spatial scales, from large (i.e. regional) to microgeographic (i.e. landscape) scales.},
  keywords = {{AMAZONIE} ; {GUYANE} {FRANCAISE} ; {VENEZUELA}},
  address = {},
  series = {{B}io{R}xiv},
  pages = {en ligne [27 ]},
  year = {2019},
  DOI = {10.1101/312843},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076804},
}