Genome-Wide Association Insights into the Genomic Regions Controlling Oil Production Traits inAcrocomia aculeata(neotropical native palm)

Abstract

ABSTRACTMacauba (Acrocomia aculeata) is a non-domesticated neotropical palm that has been attracting attention for economical use due to its great potential for oil production comparable to the commercially used oil palm (Elaeis guineenses). The discovery of associations between quantitative trait loci and economically important traits represents an advance toward macauba domestication. Pursuing this advance, this study performs single-trait and multi-trait GWAS models to identify candidate genes related to oil production traits in macauba. We randomly selected 201 palms from a natural population and analysed 13 traits related to fruit production, processing, and oil content. Genotyping was performed following the genotyping-by- sequencing protocol. SNP calling was performed using three strategies since macauba doesn’t have a reference genome: using i) de novo pipeline, ii)Elaeis guineensesJacq. reference genome, and iii) transcriptome ofAcrocomia aculeata. Single-trait analysis was fitted using five models from GAPIT, while multi-trait analysis was fitted using a multivariate stepwise method implemented in the software TASSEL. Multi-trait analyses were conducted in all pairwise trait combinations. Results showed statistically significant differences in all phenotypic traits studied, and heritability values ranged from 0.63 to 0.95. Gene annotation detected 15 candidate genes in seven traits in the single-trait GWAS and four candidate genes in 10 trait combinations in the multi-trait GWAS. We provide new insights on genomic regions that mapped candidate genes involved in macauba oil production phenotypes. Associated markers to the traits of interest may be valuable resources for the development of marker-assisted selection in macauba for both domestication and pre-breeding purposes.