Matches in SemOpenAlex for { <https://semopenalex.org/work/W2808049349> ?p ?o ?g. }
- W2808049349 abstract "Understanding the genetic bases underlying climate adaptation is a key element to predict the potential of species to face climate warming. Although substantial climate variation is observed at a micro-geographic scale, most genomic maps of climate adaptation have been established at broader geographical scales. Here, by using a Pool-Seq approach combined with a Bayesian hierarchical model that control for confounding by population structure, we performed a genome-environment association (GEA) analysis to investigate the genetic basis of adaptation to six climate variables in 168 natural populations of Arabidopsis thaliana distributed in south-west of France. Climate variation among the 168 populations represented up to 24% of climate variation among 521 European locations where A. thaliana inhabits. We identified neat and strong peaks of association, with most of the associated SNPs being significantly enriched in likely functional variants and/or in the extreme tail of genetic differentiation among populations. Furthermore, genes involved in transcriptional mechanisms appear predominant in plant functions associated with local climate adaptation. Globally, our results suggest that climate adaptation is an important driver of genomic variation in A. thaliana at a small spatial scale and mainly involves genome-wide changes in fundamental mechanisms of gene regulation. The identification of climate-adaptive genetic loci at a micro-geographic scale also highlights the importance to include within-species genetic diversity in ecological niche models for projecting potential species distributional shifts over short geographic distances." @default.
- W2808049349 created "2018-06-21" @default.
- W2808049349 creator A5007087744 @default.
- W2808049349 creator A5012477824 @default.
- W2808049349 creator A5017482721 @default.
- W2808049349 creator A5070514553 @default.
- W2808049349 creator A5076682143 @default.
- W2808049349 creator A5079606807 @default.
- W2808049349 creator A5086224635 @default.
- W2808049349 creator A5090932774 @default.
- W2808049349 date "2018-07-10" @default.
- W2808049349 modified "2023-10-16" @default.
- W2808049349 title "A Genomic Map of Climate Adaptation in Arabidopsis thaliana at a Micro-Geographic Scale" @default.
- W2808049349 cites W1538123432 @default.
- W2808049349 cites W1592510033 @default.
- W2808049349 cites W1598429811 @default.
- W2808049349 cites W1796198137 @default.
- W2808049349 cites W1801190464 @default.
- W2808049349 cites W1956414220 @default.
- W2808049349 cites W1970884796 @default.
- W2808049349 cites W1974104975 @default.
- W2808049349 cites W1983310603 @default.
- W2808049349 cites W1985712136 @default.
- W2808049349 cites W1985936925 @default.
- W2808049349 cites W2002666608 @default.
- W2808049349 cites W2008147924 @default.
- W2808049349 cites W2008951609 @default.
- W2808049349 cites W2023169844 @default.
- W2808049349 cites W2032143276 @default.
- W2808049349 cites W2035864960 @default.
- W2808049349 cites W2036762868 @default.
- W2808049349 cites W2037155376 @default.
- W2808049349 cites W2061846096 @default.
- W2808049349 cites W2068335977 @default.
- W2808049349 cites W2069065821 @default.
- W2808049349 cites W2071071826 @default.
- W2808049349 cites W2071213692 @default.
- W2808049349 cites W2072380158 @default.
- W2808049349 cites W2078440622 @default.
- W2808049349 cites W2086256956 @default.
- W2808049349 cites W2086764330 @default.
- W2808049349 cites W2089032501 @default.
- W2808049349 cites W2097353570 @default.
- W2808049349 cites W2106578986 @default.
- W2808049349 cites W2107278960 @default.
- W2808049349 cites W2108234281 @default.
- W2808049349 cites W2109156798 @default.
- W2808049349 cites W2109263076 @default.
- W2808049349 cites W2111096829 @default.
- W2808049349 cites W2121250353 @default.
- W2808049349 cites W2121258973 @default.
- W2808049349 cites W2122485236 @default.
- W2808049349 cites W2122848956 @default.
- W2808049349 cites W2124398588 @default.
- W2808049349 cites W2124463691 @default.
- W2808049349 cites W2130153748 @default.
- W2808049349 cites W2131222257 @default.
- W2808049349 cites W2131600024 @default.
- W2808049349 cites W2134275486 @default.
- W2808049349 cites W2134645004 @default.
- W2808049349 cites W2136565636 @default.
- W2808049349 cites W2146284465 @default.
- W2808049349 cites W2146981862 @default.
- W2808049349 cites W2150193197 @default.
- W2808049349 cites W2153147355 @default.
- W2808049349 cites W2153863902 @default.
- W2808049349 cites W2155943701 @default.
- W2808049349 cites W2156265209 @default.
- W2808049349 cites W2156951592 @default.
- W2808049349 cites W2157441790 @default.
- W2808049349 cites W2161694397 @default.
- W2808049349 cites W2166943710 @default.
- W2808049349 cites W2167915733 @default.
- W2808049349 cites W2170946060 @default.
- W2808049349 cites W2170962119 @default.
- W2808049349 cites W2180663954 @default.
- W2808049349 cites W2265596685 @default.
- W2808049349 cites W2266750298 @default.
- W2808049349 cites W2278361245 @default.
- W2808049349 cites W2300935409 @default.
- W2808049349 cites W2343142229 @default.
- W2808049349 cites W2344886791 @default.
- W2808049349 cites W2346143774 @default.
- W2808049349 cites W2362531959 @default.
- W2808049349 cites W2409013835 @default.
- W2808049349 cites W2514921635 @default.
- W2808049349 cites W2530459136 @default.
- W2808049349 cites W2595423606 @default.
- W2808049349 cites W2598701004 @default.
- W2808049349 cites W2752926484 @default.
- W2808049349 cites W2754944836 @default.
- W2808049349 cites W2794306923 @default.
- W2808049349 cites W2950076866 @default.
- W2808049349 cites W2951526603 @default.
- W2808049349 doi "https://doi.org/10.3389/fpls.2018.00967" @default.
- W2808049349 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6048436" @default.
- W2808049349 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30042773" @default.
- W2808049349 hasPublicationYear "2018" @default.
- W2808049349 type Work @default.
- W2808049349 sameAs 2808049349 @default.