Francesca Taranto

Genetic Diversity and Population Structure of Tetraploid Wheats (Triticum turgidum L.) Estimated by SSR, DArT and Pedigree Data

Levels of genetic diversity and population genetic structure of a collection of 230 accessions of seven tetraploid Triticum turgidum L. subspecies were investigated using six morphological, nine seed storage protein loci, 26 SSRs and 970 DArT markers. The genetic diversity of the morphological traits and seed storage proteins was always lower in the durum wheat compared to the wild and domesticated emmer. Using Bayesian clustering (K = 2), both of the sets of molecular markers distinguished the durum wheat cultivars from the other tetraploid subspecies, and two distinct subgroups were detected within the durum wheat subspecies, which is in agreement with their origin and year of release. The genetic diversity of morphological traits and seed storage proteins was always lower in the improved durum cultivars registered after 1990, than in the intermediate and older ones. This marked effect on diversity was not observed for molecular markers, where there was only a weak reduction. At K >2, the SSR markers showed a greater degree of resolution than for DArT, with their identification of a greater number of groups within each subspecies. Analysis of DArT marker differentiation between the wheat subspecies indicated outlier loci that are potentially linked to genes controlling some important agronomic traits. Among the 211 loci identified under selection, 109 markers were recently mapped, and some of these markers were clustered into specific regions on chromosome arms 2BL, 3BS and 4AL, where several genes/quantitative trait loci (QTLs) are involved in the domestication of tetraploid wheats, such as the tenacious glumes (Tg) and brittle rachis (Br) characteristics. On the basis of these results, it can be assumed that the population structure of the tetraploid wheat collection partially reflects the evolutionary history of Triticum turgidum L. subspecies and the genetic potential of landraces and wild accessions for the detection of unexplored alleles.

Polyphenol Oxidases in Crops: Biochemical, Physiological and Genetic Aspects

Enzymatic browning is a colour reaction occurring in plants, including cereals, fruit and horticultural crops, due to oxidation during postharvest processing and storage. This has a negative impact on the colour, flavour, nutritional properties and shelf life of food products. Browning is usually caused by polyphenol oxidases (PPOs), following cell damage caused by senescence, wounding and the attack of pests and pathogens. Several studies indicated that PPOs play a role in plant immunity, and emerging evidence suggested that PPOs might also be involved in other physiological processes. Genomic investigations ultimately led to the isolation of PPO homologs in several crops, which will be possibly characterized at the functional level in the near future. Here, focusing on the botanic families of Poaceae and Solanaceae, we provide an overview on available scientific literature on PPOs, resulting in useful information on biochemical, physiological and genetic aspects.

Genome-wide SNP discovery and population structure analysis in pepper (Capsicum annuum) using genotyping by sequencing.

BackgroundKnowledge on population structure and genetic diversity in vegetable crops is essential for association mapping studies and genomic selection. Genotyping by sequencing (GBS) represents an innovative method for large scale SNP detection and genotyping of genetic resources. Herein we used the GBS approach for the genome-wide identification of SNPs in a collection of Capsicum spp. accessions and for the assessment of the level of genetic diversity in a subset of 222 cultivated pepper (Capsicum annum) genotypes.ResultsGBS analysis generated a total of 7,568,894 master tags, of which 43.4% uniquely aligned to the reference genome CM334. A total of 108,591 SNP markers were identified, of which 105,184 were in C. annuum accessions. In order to explore the genetic diversity of C. annuum and to select a minimal core set representing most of the total genetic variation with minimum redundancy, a subset of 222 C. annuum accessions were analysed using 32,950 high quality SNPs. Based on Bayesian and Hierarchical clustering it was possible to divide the collection into three clusters. Cluster I had the majority of varieties and landraces mainly from Southern and Northern Italy, and from Eastern Europe, whereas clusters II and III comprised accessions of different geographical origins. Considering the genome-wide genetic variation among the accessions included in cluster I, a second round of Bayesian (K = 3) and Hierarchical (K = 2) clustering was performed. These analysis showed that genotypes were grouped not only based on geographical origin, but also on fruit-related features.ConclusionsGBS data has proven useful to assess the genetic diversity in a collection of C. annuum accessions. The high number of SNP markers, uniformly distributed on the 12 chromosomes, allowed the accessions to be distinguished according to geographical origin and fruit-related features. SNP markers and information on population structure developed in this study will undoubtedly support genome-wide association mapping studies and marker-assisted selection programs.

Development and validation of a new Ppo-A1 marker useful for marker-assisted selection in tetraploid wheats

Polyphenol oxidase (PPO) activity is a major cause of undesirable brown color of semolina. In tetraploid wheat, the Ppo-A1 gene is significantly involved in the phenotypic expression of PPO activity. The main goal of this study was to develop and validate a more efficient marker for Ppo-A1 to facilitate marker-assisted selection for low PPO activity in tetraploid wheat breeding programs. A large tetraploid wheat collection, including durum cultivars, domesticated and wild accessions, was used to evaluate the PPO activity. The heritability values indicated that the phenotypic expression of PPO activity was mainly due to genotypic effect. PPO18, and a new marker named MG18, were used to study the Ppo-A1 allelic variation in a tetraploid wheat collection. PPO18 analysis detected four alleles (Ppo-A1b, Ppo-A1e, Ppo-A1f and Ppo-A1g). The high frequency of Ppo-A1g (no PCR product) detected in the tetraploid wheat collection, led to the development of a new genome-specific Ppo-A1 marker (MG18). MG18 analysis identified the same alleles as PPO18 which were associated with low or high PPO activity. The new MG18 marker was more efficient than PPO18 in detecting the four different alleles of Ppo-A1 in the tetraploid wheat collection. Indeed, the accessions assigned to the Ppo-A1g group, according to PPO18, when tested with MG18, were better classified in the four alleles of the Ppo-A1 gene. The MG18 analysis proved that the PPO18 marker overestimated the number of accessions with Ppo-A1g. Therefore, MG18 can be applied to large-scale marker-assisted selection for PPO activity in durum breeding programs.

A Distinct Genetic Cluster in Cultivated Chickpea as Revealed by Genome-wide Marker Discovery and Genotyping

Genotyping‐by‐sequencing analysis in cultivated chickpea generated 3187 high‐quality single nucleotide polymorphisms. Analysis of genetic diversity supports the identification of three subpopulations. Accessions traditionally grown in Italy form a clearly distinct genetic cluster. We identified genomic regions putatively resulting from directional selection. Our findings are of interest for chickpea conservation genetics and breeding.

Genetic variation of a global germplasm collection of chickpea (Cicer arietinum L.) including Italian accessions at risk of genetic erosion

Chickpea (Cicer arietinum L.) is one of the most important legumes worldwide. We addressed this study to the genetic characterization of a germplasm collection from main chickpea growing countries. Several Italian traditional landraces at risk of genetic erosion were included in the analysis. Twenty-two simple sequence repeat (SSR) markers, widely used to explore genetic variation in plants, were selected and yielded 218 different alleles. Structure analysis and hierarchical clustering indicated that a model with three distinct subpopulations best fits the data. The composition of two subpopulations, named K1 and K2, broadly reflects the commercial classification of chickpea in the two types desi and kabuli, respectively. The third subpopulation (K3) is composed by both desi and kabuli genotypes. Italian accessions group both in K2 and K3. Interestingly, this study highlights genetic distance between desi genotypes cultivated in Asia and Ethiopia, which respectively represent the chickpea primary and the secondary centres of diversity. Moreover, European desi are closer to the Ethiopian gene pool. Overall, this study will be of importance for chickpea conservation genetics and breeding, which is limited by the poor characterization of germplasm collection.

An Overview of Genotyping by Sequencing in Crop Species and Its Application in Pepper

The exploitation of genetic variation in crops is essential to establish innovative breeding programs in the frame of global population increase and the sustainable intensification of agriculture. The advent of next generation sequencing technologies and the availability of complete or draft genome sequences of many crops allowed the development of several methods for SNP discovery. Genotyping by sequencing (GBS) has recently emerged as a promising approach to simultaneously allow SNP identification and genotyping. GBS provides a rapid, highly informative, high-throughput and cost-effective tool for exploring plant genetic diversity on a genome-wide scale and does not require any a priori knowledge on the genome of the species of interest. The features of GBS make it an attractive technology for (1) the assessment of population structure of germplasm collections; (2) the development of high density linkage maps and (3) genetic mapping studies. Herein, we present an overview of the GBS method and describe the main protocols in use, the principal methods for genetic diversity analysis and potential applications of the results in crop breeding programs. Finally, we illustrate the strategy we adopted to investigate the genetic diversity in cultivated pepper (Capsicum annuum).

GBS-derived SNP catalogue unveiled wide genetic variability and geographical relationships of Italian olive cultivars

Information on the distribution of genetic variation is essential to preserve olive germplasm from erosion and to recover alleles lost through selective breeding. In addition, knowledge on population structure and genotype–phenotype associations is crucial to support modern olive breeding programs that must respond to new environmental conditions imposed by climate change and novel biotic/abiotic stressors. To further our understanding of genetic variation in the olive, we performed genotype-by-sequencing on a panel of 94 Italian olive cultivars. A reference-based and a reference-independent SNP calling pipeline generated 22,088 and 8,088 high-quality SNPs, respectively. Both datasets were used to model population structure via parametric and non parametric clustering. Although the two pipelines yielded a 3-fold difference in the number of SNPs, both described wide genetic variability among our study panel and allowed individuals to be grouped based on fruit weight and the geographical area of cultivation. Multidimensional scaling analysis on identity-by-state allele-sharing values as well as inference of population mixtures from genome-wide allele frequency data corroborated the clustering pattern we observed. These findings allowed us to formulate hypotheses about geographical relationships of Italian olive cultivars and to confirm known and uncover novel cases of synonymy.

Genetic flow among olive populations within the Mediterranean basin

Background The olive tree is a typical crop of the Mediterranean basin where it shows a wide diversity, accounting for more than 2,600 cultivars. The ability to discriminate olive cultivars and determine their genetic variability is pivotal for an optimal exploitation of olive genetic resources. Methods We investigated the genetic diversity within 128 olive accessions belonging to four countries in the Mediterranean Basin (Italy, Algeria, Syria, and Malta), with the purpose of better understanding the origin and spread of the olive genotypes across Mediterranean Basin countries. Eleven highly polymorphic simple sequence repeat (SSR) markers were used and proved to be very informative, producing a total of 179 alleles. Results Cluster analysis distinguished three main groups according to their geographical origin, with the current sample of Maltese accessions included in the Italian group. Phylogenetic analysis further differentiated Italian and Maltese olive accessions, clarifying the intermediate position of Maltese accessions along the x/y-axes of principal coordinate analysis (PCoA). Model-based and neighbor clustering, PCoA, and migration analysis suggested the existence of two different gene pools (Algerian and Syrian) and that the genetic exchange occurred between the Syrian, Italian and Maltese populations. Discussion The close relationship between Syrian and Italian and Maltese olives was consistent with the historical domestication and migration of olive tree from the North Levant to eastern Mediterranean basin. This study lays the foundations for a better understanding of olive genetic diversity in the Mediterranean basin and represents a step toward an optimal conservation and exploitation of olive genetic resources.