A modified protocol for RNA isolation from high polysaccharide containing Cupressus arizonica pollen. Applications for RT-PCR and phage display library construction

Isolation of high-quality RNA from grains of different maize varieties

The study of gene expression in maize varieties represents a powerful tool aiming to increase vitamin A precursors. However, the isolation of RNA from different maize varieties is challenging because these varieties show different levels of polysaccharides, and most methods available for RNA isolation are inappropriate for grain samples. The polysaccharides co-purify and co-precipitate with RNA during isolation, resulting in low-quality RNA, compromising the use of RNA in subsequent applications. Thus, a cetyltrimethylammonium bromide (CTAB)-based method was adapted in this study and compared with six methods for RNA isolation, including commercial reagents and RNA and DNA isolation kits, in order to identify the most appropriate for maize grains from different varieties. Most of the methods evaluated were considered inadequate due to limitations in terms of purity and/or quantity of the isolated RNA, which affected the efficiency of subsequent RT-qPCR analysis, resulting in nonamplification of β-carotene hydroxylase gene (HYD3) or high deviation among replicates. However, the CTAB modified method allowed the study to obtain intact RNA, with high quality and quantity, from 25 maize varieties. Furthermore, this RNA was successfully used to evaluate the expression of HYD3 gene by real-time qualitative polymerase chain reaction (RT-qPCR), and thus represents a simple, efficient, and low-cost strategy.

How to perform RT-qPCR accurately in plant species? A case study on flower colour gene expression in an azalea (Rhododendron simsii hybrids) mapping population

Background

Flower colour variation is one of the most crucial selection criteria in the breeding of a flowering pot plant, as is also the case for azalea (Rhododendron simsii hybrids). Flavonoid biosynthesis was studied intensively in several species. In azalea, flower colour can be described by means of a 3-gene model. However, this model does not clarify pink-coloration. The last decade gene expression studies have been implemented widely for studying flower colour. However, the methods used were often only semi-quantitative or quantification was not done according to the MIQE-guidelines. We aimed to develop an accurate protocol for RT-qPCR and to validate the protocol to study flower colour in an azalea mapping population.

Results

An accurate RT-qPCR protocol had to be established. RNA quality was evaluated in a combined approach by means of different techniques e.g. SPUD-assay and Experion-analysis. We demonstrated the importance of testing noRT-samples for all genes under study to detect contaminating DNA. In spite of the limited sequence information available, we prepared a set of 11 reference genes which was validated in flower petals; a combination of three reference genes was most optimal. Finally we also used plasmids for the construction of standard curves. This allowed us to calculate gene-specific PCR efficiencies for every gene to assure an accurate quantification. The validity of the protocol was demonstrated by means of the study of six genes of the flavonoid biosynthesis pathway. No correlations were found between flower colour and the individual expression profiles. However, the combination of early pathway genes (CHS, F3H, F3'H and FLS) is clearly related to co-pigmentation with flavonols. The late pathway genes DFR and ANS are to a minor extent involved in differentiating between coloured and white flowers. Concerning pink coloration, we could demonstrate that the lower intensity in this type of flowers is correlated to the expression of F3'H.

Conclusions

Currently in plant research, validated and qualitative RT-qPCR protocols are still rare. The protocol in this study can be implemented on all plant species to assure accurate quantification of gene expression. We have been able to correlate flower colour to the combined regulation of structural genes, both in the early and late branch of the pathway. This allowed us to differentiate between flower colours in a broader genetic background as was done so far in flower colour studies. These data will now be used for eQTL mapping to comprehend even more the regulation of this pathway.

Evaluating methods for isolating total RNA and predicting the success of sequencing phylogenetically diverse plant transcriptomes

Next-generation sequencing plays a central role in the characterization and quantification of transcriptomes. Although numerous metrics are purported to quantify the quality of RNA, there have been no large-scale empirical evaluations of the major determinants of sequencing success. We used a combination of existing and newly developed methods to isolate total RNA from 1115 samples from 695 plant species in 324 families, which represents >900 million years of phylogenetic diversity from green algae through flowering plants, including many plants of economic importance. We then sequenced 629 of these samples on Illumina GAIIx and HiSeq platforms and performed a large comparative analysis to identify predictors of RNA quality and the diversity of putative genes (scaffolds) expressed within samples. Tissue types (e.g., leaf vs. flower) varied in RNA quality, sequencing depth and the number of scaffolds. Tissue age also influenced RNA quality but not the number of scaffolds ≥1000 bp. Overall, 36% of the variation in the number of scaffolds was explained by metrics of RNA integrity (RIN score), RNA purity (OD 260/230), sequencing platform (GAIIx vs HiSeq) and the amount of total RNA used for sequencing. However, our results show that the most commonly used measures of RNA quality (e.g., RIN) are weak predictors of the number of scaffolds because Illumina sequencing is robust to variation in RNA quality. These results provide novel insight into the methods that are most important in isolating high quality RNA for sequencing and assembling plant transcriptomes. The methods and recommendations provided here could increase the efficiency and decrease the cost of RNA sequencing for individual labs and genome centers.

A protocol for extraction of high-quality RNA and DNA from peanut plant tissues

Peanuts are an increasingly important global food source. However, until recently the lack of effective protocols for the extraction of nucleic acids has made molecular studies of peanut development and maturation difficult. Here, we describe a method to isolate high-quality RNA and DNA from peanut tissue and have successfully applied this method to peanut plant roots, stems, leaves, flowers, and seeds. Spectrophotometric analysis showed that the average yields of total RNA from 100 mg of peanut materials ranged from 24.52 to 74.6 μg, and those of genomic DNA from the same tissues ranged from 23.47 to 57.68 μg. Using this protocol, we obtained OD260/280 values between 1.9 and 2.0 and isolated RNA which could be reverse transcribed in a manner suitable for RT-qPCR and expression analysis. In addition, genomic DNA isolated using this method produced reliable restriction enzyme digestion patterns and could be used for Southern blot hybridization.