Genetic characterization of oleaginous bottle gourd ( Lagenaria siceraria ) germplasm from Côte d'Ivoire using agromorphological and molecular markers

• Published in: Plant genetic resources: characterization and utilization 2022-04, Vol.20 (2), p.162-173
• Main Authors: Gbotto, Ahou Anique, Yao, Nasser Kouadio, Kitavi, Mercy, Osama, Sarah Karen, Habimana, Richard, Koffi, Kouamé Kevin, Zoro Bi, Irié Arsène
• Format: Article
• Language: English
• Subjects: Amplification; Amplified fragment length polymorphism; Bayesian analysis; Clearcutting; Cluster analysis; Clustering; Cultivars; Discriminant analysis; Food security; Fruits; Genetic diversity; Genetic markers; Germplasm; Gourds; Lagenaria siceraria; Polymorphism; Rural areas; Seeds; Topology; Variance analysis
• ISSN: 1479-2621; 1479-263X
• DOI: 10.1017/S1479262122000247

Being difficult to regenerate and maintain the seeds, the oleaginous bottle gourd was investigated using nine agromorphological traits and 31 amplified fragment length polymorphism (AFLP) markers. Specifically, the study was conducted to determine the intra-specific variability of a total of 173 accessions, which were identified from five agro-ecological regions from Côte d'Ivoire (Centre, East, North and South). Then, the genetic diversity and relationships within accessions were studied using AFLP markers. This characterization using both morphological and AFLP markers was realized in order to ultimately build a reliable core collection. The discriminant analysis, using nine quantitative traits, reveals plant length and seeds number per fruit as discriminating characteristics. From the accessions used for the agromorphological study, 148 were able to be differentiated by the AFLP markers. A range of 52 to 113 bands were amplified per primer combination. As revealed by the analysis of molecular variance (AMOVA), 28% of the total variation resides among accessions and 72% occurs within populations. The AMOVA computed in order to differentiate cultivars, displayed the same trends when no prior grouping of accessions was considered. The differentiation within cultivar (97%) was more than that, among cultivars (3%). Tree topologies inferred by neighbour-joining analysis reflected no clear cut off grouping. To group accessions, we used a Bayesian clustering analysis which exhibited two clusters. Using the informativeness of the primer combinations analysed in the present study, an orientation was given for the choice of the accessions which would be used to build a core collection.