Jose V. Die

Evaluation of candidate reference genes for expression studies in Pisum sativum under different experimental conditions.

Reverse transcription quantitative real-time polymerase chain reaction is the most accurate measure of gene expression in biological systems. The data are analyzed through a process called normalization. Internal standards are essential for determining the relative gene expression in different samples. For this purpose, reference genes are selected based on their constitutive expression across samples. At present, there has not yet been any reference gene identified in any organism that is universally optimal across different tissue types or disease situations. Our goal was to test the regulation of 11 potential references for pea. These included eight commonly used and three new candidates. Twenty-six samples, including different tissues, treatments and genotypes, were addressed in this analysis. For reliable data normalization, the most suitable combination of reference genes in each experimental set was constructed with at least two out the five more stably expressed references in the whole experimental series (i.e. protein phosphatase 2A, β-tubulin, GH720838, actin and GH720808). To validate the determined measure of gene-stability, the gene-specific variation was calculated using different normalization factors. The most non-specific variation was removed when the most stable genes were used, highlighting the importance of the adequate choice of internal controls in gene expression experiments. The set of reference genes presented here will provide useful guidelines as starting point for reference gene selection in pea studies under conditions other than those tested here.

Selection of reference genes for gene expression studies in zucchini (Cucurbita pepo) using qPCR.

The zucchini (Cucurbita pepo) is an important food crop, the transcriptomics of which are a fundamental tool to accelerate the development of new varieties by breeders. However, the suitability of reference genes for data normalization in zucchini has not yet been studied. The aim of this study was to assess the suitability of 13 genes for their potential use as reference genes in quantitative real-time PCR. Assays were performed on 34 cDNA samples representing plants under different stresses and at different developmental stages. The application of geNorm and NormFinder software revealed that the use of a combination of UFP, EF-1A, RPL36aA, PP2A, and CAC genes for the different experimental sets was the best strategy for reliable normalization. In contrast, 18S rRNA and TUA were less stable and unsuitable for use as internal controls. These results provide the possibility to allow more accurate use of qPCR in this horticultural crop.

Superior Cross-Species Reference Genes: A Blueberry Case Study

The advent of affordable Next Generation Sequencing technologies has had major impact on studies of many crop species, where access to genomic technologies and genome-scale data sets has been extremely limited until now. The recent development of genomic resources in blueberry will enable the application of high throughput gene expression approaches that should relatively quickly increase our understanding of blueberry physiology. These studies, however, require a highly accurate and robust workflow and make necessary the identification of reference genes with high expression stability for correct target gene normalization. To create a set of superior reference genes for blueberry expression analyses, we mined a publicly available transcriptome data set from blueberry for orthologs to a set of Arabidopsis genes that showed the most stable expression in a developmental series. In total, the expression stability of 13 putative reference genes was evaluated by qPCR and a set of new references with high stability values across a developmental series in fruits and floral buds of blueberry were identified. We also demonstrated the need to use at least two, preferably three, reference genes to avoid inconsistencies in results, even when superior reference genes are used. The new references identified here provide a valuable resource for accurate normalization of gene expression in Vaccinium spp. and may be useful for other members of the Ericaceae family as well.

Carotenogenic gene expression and carotenoid accumulation in three varieties of Cucurbita pepo during fruit development.

The control of gene expression is a crucial regulatory mechanism in carotenoid accumulation of fruits and flowers. We investigated the role of transcriptional regulation of nine genes involved in the carotenoid biosynthesis pathway in three varieties of Cucurbita pepo with evident differences in fruit color. The transcriptional levels of the key genes involved in the carotenoid biosynthesis were higher in flower-, leaf-, and fruit skin tissues than flesh tissues. This correlated with higher concentration of carotenoid content in these tissues. The differential expression among the colored and white cultivars detected for some genes, such as LCYe, in combination with other regulatory mechanisms, could explain the large differences found in terms of carotenoid content among the three varieties. These results are a first step to elucidate carotenogenesis in C. pepo and demonstrate that, in general, regulation of the pathway genes is a critical factor that determines the accumulation of these compounds.

Gene expression analysis of molecular mechanisms of defense induced in Medicago truncatula parasitized by Orobanche crenata.

The infection of Medicago truncatula Gaertn. roots with the obligate parasite Orobanche crenata Forsk. is a useful model for studying the molecular events involved in the legumes-parasite interaction. In order to gain insight into the identification of gene-regulatory elements involved in the resistance mechanism, the temporal expression pattern of ten defense-related genes was carried out using real-time quantitative reverse-transcription polymerase chain reaction assays. The induction of all of the analyzed transcripts significantly increased over a range from 2- to 321-fold higher than the control depending on the gene and time point. The transcriptional changes observed in response to O. crenata infection suggest that resistance could rely on both, the induction of general defense-related genes and more specific responses.

Proteome dynamics of cold-acclimating Rhododendron species contrasting in their freezing tolerance and thermonasty behavior

To gain a better understanding of cold acclimation in rhododendron and in woody perennials in general, we used the 2D-DIGE technique to analyze the rhododendron proteome during the seasonal development of freezing tolerance. We selected two species varying in their cold acclimation ability as well as their thermonasty response (folding of leaves in response to low temperature). Proteins were extracted from leaves of non-acclimated (NA) and cold acclimated (CA) plants of the hardier thermonastic species, R. catawbiense (Cata.), and from leaves of cold acclimated plants of the less hardy, non-thermonastic R. ponticum (Pont.). All three protein samples (Cata.NA, Cata.CA, and Pont.CA) were labeled with different CyDyes and separated together on a single gel. Triplicate gels were run and protein profiles were compared resulting in the identification of 72 protein spots that consistently had different abundances in at least one pair-wise comparison. From the 72 differential spots, we chose 56 spots to excise and characterize further by mass spectrometry (MS). Changes in the proteome associated with the seasonal development of cold acclimation were identified from the Cata.CA—Cata.NA comparisons. Differentially abundant proteins associated with the acquisition of superior freezing tolerance and with the thermonastic response were identified from the Cata.CA—Pont.CA comparisons. Our results indicate that cold acclimation in rhododendron involves increases in abundance of several proteins related to stress (freezing/desiccation tolerance), energy and carbohydrate metabolism, regulation/signaling, secondary metabolism (possibly involving cell wall remodeling), and permeability of the cell membrane. Cold acclimation also involves decreases in abundance of several proteins involved in photosynthesis. Differences in freezing tolerance between genotypes can probably be attributed to observed differences in levels of proteins involved in these functions. Also differences in freezing tolerance may be attributed to higher levels of some constitutive protective proteins in Cata. than in Pont. that may be required to overcome freeze damage, such as glutathione peroxidase, glutamine synthetase, and a plastid-lipid-associated protein.

Expression analysis of Pisum sativum putative defence genes during Orobanche crenata infection

The root holoparasitic angiosperm Orobanche crenata is a severe constraint to the cultivation of legumes. Breeding for resistance is a difficult task. Understanding the mechanisms underlying host resistance is a fundamental issue for the genetic improvement of legumes. In this work, the temporal expression patterns of 8 defence-genes known to be involved in different metabolic pathways activated during several plant–pathogen interactions were investigated in Pisum sativum. Molecular analyses were carried out using quantitative real-time polymerase chain reaction during the initial stages of the parasitisation process in susceptible (Messire) and incompletely resistant (Ps624) pea genotypes. Transcriptional changes in response to O. crenata revealed induction of genes putatively encoding pathogenesis-related proteins, peroxidase activity, and dehydration stress-responsive signalling. This, combined with high constitutive gene expression mediating the phenylpropanoid pathway were observed as part of the defence mechanisms triggered in Ps624 to restrict the growth of the parasite.

Auxin signalling regulation during induced and parthenocarpic fruit set in zucchini

Fruit set and fruit development can be limited due to ineffective pollination in off-season crops of Cucurbita pepo. To avoid this problem, parthenocarpy, the natural or artificial fruit development without fertilization, is required. The application of synthetic growth regulators is a common practice for inducing stimulative parthenocarpy in zucchini cultivars, but this method increases production costs and may cause other fruit defects. The disadvantages associated with this can be overcome through the use of vegetative parthenocarpic cultivars, which allow fruit set without any external stimuli. Three zucchini cultivars have been studied and differences have been found in parthenocarpic fruit development. Ethylene release of unpollinated fruit has corroborated the parthenocarpic fruit development. Vegetative parthenocarpy was observed in the Whitaker cultivar. Furthermore, the involvement of the auxin signalling pathway in controlling fruit set and parthenocarpy have been studied. Transcriptome analysis of auxin signalling genes, CpARF8, CpIAA9 and CpTIR1, have shown tissue-specific expression and have revealed a decrease in the expression levels of these genes in pollinated fruits after the fertilization signal, indicating their role in the transition from ovary to fruit. Nevertheless, it has also been shown that expression of these genes can be different between parthenocarpic cultivars.

Genome-scale examination of NBS-encoding genes in blueberry

Blueberry is an important crop worldwide. It is, however, susceptible to a variety of diseases, which can lead to losses in yield and fruit quality. Although screening studies have identified resistant germplasm for some important diseases, still little is known about the molecular basis underlying that resistance. The most predominant type of resistance (R) genes contains nucleotide binding site and leucine rich repeat (NBS-LRR) domains. The identification and characterization of such a gene family in blueberry would enhance the foundation of knowledge needed for its genetic improvement. In this study, we searched for and found a total of 106 NBS-encoding genes (including 97 NBS-LRR) in the current blueberry genome. The NBS genes were grouped into eleven distinct classes based on their domain architecture. More than 22% of the NBS genes are present in clusters. Ten genes were mapped onto seven linkage groups. Phylogenetic analysis grouped these genes into two major clusters based on their structural variation, the first cluster having toll and interleukin-1 like receptor (TIR) domains and most of the second cluster containing a coiled-coil domain. Our study provides new insight into the NBS gene family in blueberry and is an important resource for the identification of functional R-genes.

Design and Sampling Plan Optimization for RT-qPCR Experiments in Plants: A Case Study in Blueberry.

The qPCR assay has become a routine technology in plant biotechnology and agricultural research. It is unlikely to be technically improved, but there are still challenges which center around minimizing the variability in results and transparency when reporting technical data in support of the conclusions of a study. There are a number of aspects of the pre- and post-assay workflow that contribute to variability of results. Here, through the study of the introduction of error in qPCR measurements at different stages of the workflow, we describe the most important causes of technical variability in a case study using blueberry. In this study, we found that the stage for which increasing the number of replicates would be the most beneficial depends on the tissue used. For example, we would recommend the use of more RT replicates when working with leaf tissue, while the use of more sampling (RNA extraction) replicates would be recommended when working with stems or fruits to obtain the most optimal results. The use of more qPCR replicates provides the least benefit as it is the most reproducible step. By knowing the distribution of error over an entire experiment and the costs at each step, we have developed a script to identify the optimal sampling plan within the limits of a given budget. These findings should help plant scientists improve the design of qPCR experiments and refine their laboratory practices in order to conduct qPCR assays in a more reliable-manner to produce more consistent and reproducible data.