| Literature DB >> 32547577 |
Pablo Díaz-Rueda1, Juan D Franco-Navarro1, Rita Messora2, Joaquín Espartero1, Carlos M Rivero-Núñez1, Pablo Aleza3, Nieves Capote4, Manuel Cantos1, Jose L García-Fernández1, Alfonso de Cires5, Angjelina Belaj6, Lorenzo León6, Guillaume Besnard7, Jose M Colmenero-Flores1.
Abstract
Wild subspecies of Olea europaea constitute a source of genetic variability with huge potential for olive breeding to face global changes in Mediterranean-climate regions. We intend to identify wild olive genotypes with optimal adaptability to different environmental conditions to serve as a source of rootstocks and resistance genes for olive breeding. The SILVOLIVE collection includes 146 wild genotypes representative of the six O. europaea subspecies and early-generations hybrids. These genotypes came either from olive germplasm collections or from direct prospection in Spain, continental Africa and the Macaronesian archipelago. The collection was genotyped with plastid and nuclear markers, confirming the origin of the genotypes and their high genetic variability. Morphological and architectural parameters were quantified in 103 genotypes allowing the identification of three major groups of correlative traits including vigor, branching habits and the belowground-to-aboveground ratio. The occurrence of strong phenotypic variability in these traits within the germplasm collection has been shown. Furthermore, wild olive relatives are of great significance to be used as rootstocks for olive cultivation. Thus, as a proof of concept, different wild genotypes used as rootstocks were shown to regulate vigor parameters of the grafted cultivar "Picual" scion, which could improve the productivity of high-density hedgerow orchards.Entities:
Keywords: Olea europaea; branching; genetic variability; grafting; molecular markers; rootstock; vigor; wild germplasm
Year: 2020 PMID: 32547577 PMCID: PMC7270354 DOI: 10.3389/fpls.2020.00629
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
Origin and code of the 146 olive genotypes of the SILVOLIVE collection.
| Mother tree | Number of genotypes | |||||
| Subspecies | Lineage | Variety | Natural localization | Prospection | Acronym | |
| E1- | “Frantoio”Ω | Tuscany, Italy | WOGB, Córdoba, Spain Acc. Number 80 | FRA | 4 | |
| “Acebuche de Puerto Real” oleasterΩ | Puerto Real saline marshes, Cádiz, Spain | APR | 1 | |||
| Unnamed oleasterΩ | Cádiz Mountains, Spain | WOGB, Córdoba, Spain Acc. Number W45 | ACZ | 10 | ||
| Unnamed oleaster× | Coria del Río, Seville, Spain | Coria del Río, Seville, Spain | ACO | 5 | ||
| Unnamed oleaster× | Marrakech Mountains, Morocco | Marrakech, Morocco | AMK | 11 | ||
| Unnamed oleaster× | Amskroud, Morocco | Amskroud, Morocco | AMS | 9 | ||
| E2 | “Raboconejo” oleasterΩ | Saltés Island in Odiel saline marshes, Huelva, Spain | ARC | 1 | ||
| Unnamed oleaster× | Tamri, Morocco | Tamri, Morocco | TAM | 5 | ||
| Unnamed oleaster× | Aourir, Morocco | Aourir, Morocco | AOU | 12 | ||
| E3 | Unnamed oleasterΩ | Sierra de Jaén, Spain | WOGB, Córdoba, Spain Acc. Number W69 | AJA | 6 | |
| E1-/1 | “Dhokar”× | Tataouin zone, Tunisia | WOGB, Marrakech, Morocco Acc. Number Oct413 | DHO | 12 | |
| M- | Tenerife, Canary Islands, Spain | WOGB, Córdoba, Spain Acc. Number W49 | GUA | 9 | ||
| M- | Tenerife, Canary Islands, Spain | Anaga, Tenerife, Spain | ANA | 18 | ||
| M- | La Gomera, Canary Islands, Spain | Hermigua, La Gomera, Spain | HER | 6 | ||
| M- | Gran Canaria, Canary Islands, Spain | Cañón del Cernícalo, Gran Canarias, Spain | BAR | 9 | ||
| M- | Madeira Islands, Portugal | CEFE Montpellier, France Acc. Number Cer3 | CER | 2 | ||
| M- | Imouzzer, Morocco | Imouzzer, Morocco | MAR | 3 | ||
| A | Grahamstown, South Africa | CEFE Montpellier Acc. Number Gr3 & Gr5 | CUS | 8 | ||
| A | Kirstenbosch, South Africa | CEFE Montpellier, France Acc. Kirstenbosch | CEH | 15 | ||
| Total number of genotypes | 146 | |||||
FIGURE 1Phylogenetic relationships among wild olive genotypes of the SILVOLIVE collection according to plastid markers. Sequences of the chloroplast markers were used to determine the phylogenetic relationships through the Maximum Likelihood method based on the Tamura 3-parameter model (Tamura, 1992). Phylogenetic analyses were conducted with MEGA6 (Tamura et al., 2013). The tree with the highest log likelihood (–5551.0632) is shown. Initial tree(s) for the heuristic search were obtained by applying the Neighbor-Joining method to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach. A discrete Gamma distribution was used to model evolutionary rate differences among sites [5 categories (+G, parameter = 0.05)]. The tree is drawn to scale, with branch lengths measured as the number of substitutions per site. The total number of positions in the final dataset was 3,818. Support of nodes was estimated with 1,000 bootstraps. NCBI Accession numbers of the plastomes, used here as reference genomes, are the following: Olea europaea subsp. europaea lineage E1 (HF558645); O. e. subsp. europaea lineage E2 (FN997650); Olea europaea subsp. europaea lineage E3 (FN997651); O. e. subsp. laperrinei (MG255765); O. e. subsp. maroccana (FN998900); O. e. subsp. guanchica (MG255764); O. e. subsp. cuspidata (FN650747); O. woodiana (FN998901). For cerasiformis, with no available full plastome sequence, the mother tree from the CEFE Montpellier collection (Cer3) was used to sequence the chloroplast markers. Other mother trees were also verified: W49 = Olea europaea subsp. guanchica from the WOGB Córdoba collection; Oct413 = Olea europaea subsp. laperrinei variety Dhokar from the WOGB Marrakech collection. Olea woodiana (FN998901) served as the outgroup species to root the tree.
FIGURE 2Genetic dispersion of 105 genotypes of the SILVOLIVE collection according to nuclear SSR markers. Genetic distance matrices were calculated according to Bruvo et al. (2004). To represent the distribution of the genotypes according to their genetic distances, Principal Coordinate Analysis and plotting were subsequently performed with the package “POLYSAT” in R (Clark and Jasieniuk, 2011). Plotted symbols represent different subspecies or lineages of Olea europaea, and different colors identified the genotypes according to the classification obtained by chloroplastic markers. To compute allele copy number, POLYSAT uses the combinatorics utilities in R (the “combn” and “permn” functions from the COMBINAT package) to match all possible combinations of alleles and find the smallest sum of geometrically transformed distances between alleles (Equation 2) of Bruvo et al. (2004).
FIGURE 3Principal Component Analysis (PCA) of morphological parameters of wild olive subspecies. Data concerning morphological parameters were converted into a matrix of numerical values. The missing data were interpolated using the “Mice” package as a preliminary step to the calculation of the main components using “Prcomp.” In (A) the two main components of variability, explaining here 66.5% of the total variability, were identified using the “Fviz_eig (res.pca)” algorithm and the results were plotted in a graphic. In (B) the contribution of each variable is depicted in the two main components previously represented in (A).
FIGURE 4Vigor regulation of the “Picual” scion by wild rootstock genotypes. Wild genotypes grown in pots for 1 year after ex-vitro acclimatization were grafted with the cv. “Picual”. Morphological features were measured 1 year after grafting. (A) Correlation between the rootstock basal diameter and the scion height. Values correspond to the average value of different individuals (N = 8–12), with self-grafted “Picual” labeled in red color. (B) Correlation between height of the non-grafted rootstock and height of the grafted scion. Values correspond to the average value of different individuals (N = 8–12) of each genotype. (C) Correlation between the basal diameter of the non-grafted rootstock and the height of the grafted scion. Values correspond to the average value of different individuals (N = 8–12) of each genotype. Error bars in 2 dimensions (in A–C).
FIGURE 5Comparison of morphological parameters measured in the Picual scion grafted on different genotypes of the SILVOLIVE collection. Potted plants grown under greenhouse conditions were used 1 year after grafting. The parameters measured were: The longest secondary shoot length (A); the plant height (B); the accumulated secondary shoot length calculated as the sum of all secondary shoots length (C); the total number of nodes (D); the basal stem diameter at 5 cm from ground (E); the total number of secondary stems (F); the branching efficiency (G); and the branching frequency (H). Bars are the average of 7–10 plants. Asterisks indicate significant differences with self-grafted Picual plants labeled as red bar. The data were subject to analysis of variance (ANOVA) and multiple comparisons of means were analyzed by Tukey’s HSD (honestly significant difference). Multiple range test was calculated using the Statistical Analysis System (STATGRAPHICS Centurion XVI software; http://www.statgraphics.com; StatPoint Technologies, Warrenton, VA, United States).