Genome-wide association study of morphometric and metabolic characteristics in the European populations of the sugar kelp Saccharina latissima
Stéphane MaugeriD, Komlan AviaiD, Lucie JaugeoniD, Paolo RuggeriiD, Zofia NehriD, Ousseini Issaka SaliaiD, Jérôme CoudretiD, Émilie Gouhier, Aurélien BaudiD, Stéphane Loisel, Antoine FortiD, Ronan Sulpice AiD, Christophe DestombeiD, Philippe PotiniD, Jeremy Mark CockiD, Myriam ValéroiD
Abstract
The sugar kelp Saccharina latissima is a promising candidate for sustainable aquaculture in the North Atlantic and North-East Pacific but genetic improvement has been hindered by limited understanding of the genetic basis of economically important traits. We conducted the first genome-wide association study (GWAS) for this species using 202 self-fertilised pseudo-F1 individuals derived from 12 populations spanning northern and southern European genetic clusters. Individuals were genotyped with ddRAD-seq-derived SNP markers and phenotyped in a common garden experiment for four morphological traits (blade length, blade width, blade area, stipe length) and six metabolic traits related to nitrogen metabolism. We identified 26 significant marker-trait associations, with phenotypic variance explained (PVE) ranging from 0.65% to 52.44%. Major-effect loci were detected for blade width (52.44% PVE) and blade area (45.22% PVE) and a locus on chromosome 17 influenced both blade length and blade area. Marker-based heritability estimates ranged from 0.75 to 0.99 for morphological traits and from 0.00 to 0.99 for metabolic traits, though with large standard errors. Cross-validation of genomic selection models yielded predictive abilities of 0.21-0.59 across traits. Our findings reveal a mixed genetic architecture with major-effect loci suitable for marker-assisted selection and polygenic traits amenable to genomic selection, providing a foundation for genomics-assisted breeding programs in kelp aquaculture.
02 /Specification & Classification
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