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+[[!meta title="Locally adaptive inversions modulate genetic variation at different geographic scales in a seaweed fly"]]
+[[!tag variants genome]]
+
+Mérot C, Berdan E, Cayuela H, Djambazian H, Ferchaud AL, Laporte M, Normandeau E, Ragoussis J, Wellenreuther M, Bernatchez L.
+
+Mol Biol Evol. 2021 May 7:msab143. doi:10.1093/molbev/msab143
+
+Locally adaptive inversions modulate genetic variation at different geographic scales in a seaweed fly.
+
+[[!pmid 33963409 desc="Chromosomal assembly of Coelopa frigida. SNP analysis and PCA revealed known and candidate genomic inversions."]]
+
+“We sampled the seaweed fly _Coelopa frigida_ along a bioclimatic gradient stretching across 10° of latitude, a salinity gradient and a range of heterogeneous, patchy habitats. We generated a chromosome-level genome assembly to analyse 1,446 low-coverage whole genomes collected along those gradients.“ “Analyses of more than 1,400 whole genomes of _C. frigida_ flies revealed four large chromosomal inversions affecting a large fraction of the genome (36.1Mb, 15%), and three low recombining genomic regions.” “Among the 124,701 candidate SNPs identified by the GWAS, more than 99.8% were located in Cf-Inv(1)” “At a finer geographic scale, outlier SNPs associated with wrackbed abiotic characteristics (depth, temperature and salinity) were strongly enriched in the inverted region Cf-Inv(1) with an odds ratio of 5, including outliers with very strong support”
Long read sequencing data from 3,622 Icelanders identified a median of 22,636
SVs per individual (insertios: 13,353; deletions: 9,474) [[Beyter and coll, 2021|biblio/33972781]].
+SNP analysis in >1400 seaweed flies identified known and candidate genomic inversions
+([[Mérot and coll, 2021|biblio/33963409]]).
+
### Software
- _NanoSV_ ([[Cretu Stancu and coll., 2017|biblio/29109544]]) uses nanopore long