Pedro Martínez-Gómez

Alteration in the chloroplastic metabolism leads to ROS accumulation in pea plants in response to plum pox virus

In this work, a recombinant plum pox virus (PPV, Sharka) encoding green fluorescent protein is used to study its effect on antioxidant enzymes and protein expression at the subcellular level in pea plants (cv. Alaska). PPV had produced chlorotic spots as well as necrotic spots in the oldest leaves at 13–15 d post-inoculation. At 15 d post-inoculation, PPV was present in the chlorotic and necrotic areas, as shown by the fluorescence signal produced by the presence of the green fluorescent protein. In the same areas, an accumulation of reactive oxygen species was noticed. Studies with laser confocal and electron microscopy demonstrated that PPV accumulated in the cytosol of infected cells. In addition, PPV infection produced an alteration in the chloroplast ultrastructure, giving rise to dilated thylakoids, an increase in the number of plastoglobuli, and a decreased amount of starch content. At 3 d post-inoculation, although no changes in the oxidative stress parameters were observed, an increase in the chloroplastic hydrogen peroxide levels was observed that correlated with a decrease in the enzymatic mechanisms involved in its elimination (ascorbate peroxidase and peroxidase) in this cell compartment. These results indicate that an alteration in the chloroplastic metabolism is produced in the early response to PPV. This oxidative stress is more pronounced during the development of the disease (15 d post-inoculation) judging from the increase in oxidative stress parameters as well as the imbalance in the antioxidative systems, mainly at the chloroplastic level. Finally, proteomic analyses showed that most of the changes produced by PPV infection with regard to protein expression at the subcellular level were related mainly to photosynthesis and carbohydrate metabolism. It seems that PPV infection has some effect on PSII, directly or indirectly, by decreasing the amount of Rubisco, oxygen-evolving enhancer, and PSII stability factor proteins. The results indicate that Sharka symptoms observed in pea leaves could be due to an imbalance in antioxidant systems as well as to an increased generation of reactive oxygen species in chloroplasts, induced probably by a disturbance of the electron transport chain, suggesting that chloroplasts can be a source of oxidative stress during viral disease development.

Amplified fragment length polymorphism as a tool for molecular characterization of almond germplasm: genetic diversity among cultivated genotypes and related wild species of almond, and its relationships with agronomic traits

Amplified fragment length polymorphism (AFLP) analysis is a rapid and efficient method for producing DNA fingerprints and molecular characterization. Our objectives were to: estimate genetic similarities (GS), marker indices, and polymorphic information contents (PICs) for AFLP markers in almond cultivars; assess the genetic diversity of almond cultivars and wild species, using GS estimated from AFLP fingerprints and molecular characterization; and facilitate the use of markers in inter-specific introgression and cultivar improvement. The genetic diversity of 45 almond cultivars from Iran, Europe, and America, were studied assaying 19 primer combinations. In addition, several agronomic traits were evaluated, including flowering and maturity times, self-incompatibility, and kernel and fruit properties. Out of the 813 polymerase chain reaction fragments that were scored, 781 (96.23%) were polymorphic. GS ranged from 0.5 to 0.96, marker indices ranged from 51.37 to 78.79, and PICs ranged from 0.56 to 0.86. Results allowed the unique molecular identification of all assayed genotypes. However, the correlation between genetic similarity clustering as based on AFLP and clustering for agronomic traits was low. Cluster analysis based on AFLP data clearly differentiated the genotypes and wild species according to their origin and pedigree, whereas, cluster analysis based on agronomic data differentiated according the pomological characterization. Our results showed the great genetic diversity of the almond cultivars and their interest for almond breeding.

Phenotypic diversity within native Iranian almond ( Prunus spp.) species and their breeding potential

A total of 137 accessions from 18 wild almond species were collected from Iran and leaf and fruit traits were characterized. Also evaluated were flowering and ripening date, self-incompatibility and kernel bitterness. An extensive phenotypic diversity was found both among and within species. Differences in average leaf dimensions among and within species were associated with average rainfall but not altitude of collection site. Adjacent accessions located in drier areas had smaller leaf dimensions than those located in semi-humid or humid regions. No relation was found between average fruit dimensions and collection site conditions. Principal component analysis revealed that the nut weight and width, and the kernel weight had highest loading in the first component accounting for 45.8% of total variation. In contrast, leaf traits in the second component accounted for 22.3% of total variation. No significant correlations were detected between leaf dimensions and fruit traits in all species evaluated. Results document a rich source of new germplasm for almond improvement programs. Small fruit size, pollen-pistil self-incompatibility, and bitter kernel flavour are the most common obstacles to the utilization of this wild germplasm in breeding.

Linkage disequilibrium, genetic association mapping and gene localization in crop plants

DNA-based molecular markers have been extensively utilized for a variety of studies in both plant and animal systems. One of the major uses of these markers is the construction of genome-wide molecular maps and the genetic analysis of simple and complex traits. However, these studies are generally based on linkage analysis in mapping populations, thus placing serious limitations in using molecular markers for genetic analysis in a variety of plant populations. Therefore, alternative approach has been suggested, linkage disequilibrium-based association analysis which detects and locates quantitative trait loci (QTL) by the strength of the correlation between a trait and a marker. Although association analysis has already been used for studies on genetics of complex traits in humans, its use in plants has newly started. In the present review, we describe what is known about variation in linkage disequilibrium (LD) and summarize published results on association studies in crop plant species. We give a list of different factors affecting LD, and discuss the current issues of LD research in plants. Later, we also describe the various uses of LD in crop plants research and summarize the present status of LD researches in different plant genomes. Finally, future key issues about the application of these studies on the localization of genes in these crop plants have been also discussed.

MECHANISMS OF DORMANCY IN SEEDS OF PEACH (PRUNUS PERSICA (L.) BATSCH) CV. GF305

Two mechanisms of dormancy were found in peach cultivar GF305, which is frequently used for indexing fruit viruses. Seed coat dormancy manifested itself in inhibition of germination, and embryo dormancy was expressed in reduced growth of germinated plants. The seed coat dormancy was overcome by removal of the seed coat or by stratification for 2 weeks at 7°C followed by removal of the endocarp. Embryo dormancy was overcome by stratification periods around 12 weeks. No effect of the seed coat on embryo dormancy was observed.

New approaches to Prunus transcriptome analysis

The recent sequencing of the complete genome of the peach offers new opportunities for further transcriptomic studies in Prunus species in the called post-genomics era. First works on transcriptome analysis in Prunus species started in the early 2000s with the development of ESTs (expressed sequence tags) and the analysis of several candidate genes. Later, new strategies of massive analysis (high throughput) of transcriptomes have been applied, producing larger amounts of data in terms of expression of a large number of genes in a single experiment. One of these systems is massive transcriptome analysis using cDNA biochips (microarrays) to analyze thousands of genes by hybridization of mRNA labelled with fluorescence. However, the recent emergence of a massive sequencing methodology (“deep-sequencing”) of the transcriptome (RNA-Seq), based on lowering the costs of DNA (in this cases complementary, cDNA) sequencing, could be more suitable than the application of microarrays. Recent papers have described the tremendous power of this technology, both in terms of profiling coverage and quantitative accuracy in transcriptomic studies. Now this technology is being applied to plant species, including Prunus. In this work, we analyze the potential in using this RNA-Seq technology in the study of Prunus transcriptomes and the development of genomic tools. In addition, the strengths and limitations of RNA-Seq relative to microarray profiling have been discussed.

Quantitative Trait Loci (QTL) and Mendelian Trait Loci (MTL) Analysis in Prunus: a Breeding Perspective and Beyond

Trait loci analysis, a classic procedure in quantitative (quantitative trait loci, QTL) and qualitative (Mendelian trait loci, MTL) genetics, continues to be the most important approach in studies of gene labeling in Prunus species from the Rosaceae family. Since 2011, the number of published Prunus QTLs and MTLs has doubled. With increased genomic resources, such as whole genome sequences and high-density genotyping platforms, trait loci analysis can be more readily converted to markers that can be directly utilized in marker-assisted breeding. To provide this important resource to the community and to integrate it with other genomic, genetic, and breeding data, a global review of the QTLs and MTLs linked to agronomic traits in Prunus has been performed and the data made available in the Genome Database for Rosaceae. We describe detailed information on 760 main QTLs and MTLs linked to a total of 110 agronomic traits related to tree development, pest and disease resistance, flowering, ripening, and fruit and seed quality. Access to these trait loci enables the application of this information in the post-genomic era, characterized by the availability of a high-quality peach reference genome and new high-throughput DNA and RNA analysis technologies.

Identification of S-alleles in almond using multiplex PCR

The S-genotypes of eight almond (Prunus dulcis Miller (D.A. Webb)) cultivars from different geographical origins and of nine new selections from the CEBAS-CSIC (Murcia, Spain) breeding program were determined using single and multiplex PCR with different sets of specific oligonucleotide primers. The results of PCR using the AS1II- and AmyC5R-specific primers showed amplification in a single reaction of 10 different self-incompatibility alleles and of the self-compatibility allele Sf. However, the amplified fragments of the Sf allele were of similar sizes to those amplified from the S3 self-incompatibility allele. For this reason, a specific PCR primer CEBASf was designed from the intron sequence of Sf. A multiplex-PCR reaction using the AS1II, CEBASf and AmyC5R primers permitted unequivocal identification of the 10 self-incompatibility alleles and of the self-compatibility allele. Multiplex PCR opens the possibility to identify new S-alleles using different sets of primers. The applications of these PCR markers in the almond-breeding programs are discussed.

Recent advancements to study flowering time in almond and other Prunus species

Flowering time is an important agronomic trait in almond since it is decisive to avoid the late frosts that affect production in early flowering cultivars. Evaluation of this complex trait is a long process because of the prolonged juvenile period of trees and the influence of environmental conditions affecting gene expression year by year. Consequently, flowering time has to be studied for several years to have statistical significant results. This trait is the result of the interaction between chilling and heat requirements. Flowering time is a polygenic trait with high heritability, although a major gene Late blooming (Lb) was described in “Tardy Nonpareil.” Molecular studies at DNA level confirmed this polygenic nature identifying several genome regions (Quantitative Trait Loci, QTL) involved. Studies about regulation of gene expression are scarcer although several transcription factors have been described as responsible for flowering time. From the metabolomic point of view, the integrated analysis of the mechanisms of accumulation of cyanogenic glucosides and flowering regulation through transcription factors open new possibilities in the analysis of this complex trait in almond and in other Prunus species (apricot, cherry, peach, plum). New opportunities are arising from the integration of recent advancements including phenotypic, genetic, genomic, transcriptomic, and metabolomics studies from the beginning of dormancy until flowering.

Clarifying omics concepts, challenges, and opportunities for Prunus breeding in the postgenomic era.

The recent sequencing of the complete genome of the peach, together with the availability of new high-throughput genome, transcriptome, proteome, and metabolome analysis technologies, offers new possibilities for Prunus breeders in what has been described as the postgenomic era. In this context, new biological challenges and opportunities for the application of these technologies in the development of efficient marker-assisted selection strategies in Prunus breeding include genome resequencing using DNA-Seq, the study of RNA regulation at transcriptional and posttranscriptional levels using tilling microarray and RNA-Seq, protein and metabolite identification and annotation, and standardization of phenotype evaluation. Additional biological opportunities include the high level of synteny among Prunus genomes. Finally, the existence of biases presents another important biological challenge in attaining knowledge from these new high-throughput omics disciplines. On the other hand, from the philosophical point of view, we are facing a revolution in the use of new high-throughput analysis techniques that may mean a scientific paradigm shift in Prunus genetics and genomics theories. The evaluation of scientific progress is another important question in this postgenomic context. Finally, the incommensurability of omics theories in the new high-throughput analysis context presents an additional philosophical challenge.